Update app.py
Browse files
app.py
CHANGED
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@@ -1,948 +1,949 @@
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import polars as pl
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import numpy as np
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import pandas as pd
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import api_scraper
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scrape = api_scraper.MLB_Scrape()
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from functions import df_update
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from functions import pitch_summary_functions
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update = df_update.df_update()
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from stuff_model import feature_engineering as fe
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from stuff_model import stuff_apply
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import requests
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import joblib
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from matplotlib.gridspec import GridSpec
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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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import matplotlib.pyplot as plt
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import matplotlib.gridspec as gridspec
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import seaborn as sns
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from functions.pitch_summary_functions import *
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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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import datetime
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import matplotlib.colors
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import pandas as pd
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cmap_sum = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#648FFF","#FFFFFF","#FFB000"])
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colour_palette = ['#FFB000','#648FFF','#785EF0',
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'#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']
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year_list = [2017,2018,2019,2020,2021,2022,2023,2024]
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level_dict = {'1':'MLB',
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'11':'AAA',
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'12':'AA',
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'13':'A+',
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'14':'A',
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'17':'AFL',
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'22':'College',
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'21':'Prospects',
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'51':'International' }
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function_dict={
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'velocity_kdes':'Velocity Distributions',
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'break_plot':'Pitch Movement',
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'break_plot_rhh':'Pitch Movement LHH',
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'break_plot_lhh':'Pitch Movement RHH',
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'tj_stuff_roling':'Rolling tjStuff+ by Pitch',
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'tj_stuff_roling_game':'Rolling tjStuff+ by Game',
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'location_plot_lhb':'Locations vs LHB',
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'location_plot_rhb':'Locations vs RHB',
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}
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split_dict = {'all':'All',
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'left':'LHH',
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'right':'RHH'}
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split_dict_hand = {'all':['L','R'],
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'left':['L'],
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'right':['R']}
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# List of MLB teams and their corresponding ESPN logo URLs
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mlb_teams = [
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{"team": "AZ", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/ari.png&h=500&w=500"},
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{"team": "ATH", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/oak.png&h=500&w=500"},
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{"team": "ATL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/atl.png&h=500&w=500"},
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{"team": "BAL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/bal.png&h=500&w=500"},
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{"team": "BOS", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/bos.png&h=500&w=500"},
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{"team": "CHC", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/chc.png&h=500&w=500"},
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{"team": "CWS", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/chw.png&h=500&w=500"},
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{"team": "CIN", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/cin.png&h=500&w=500"},
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{"team": "CLE", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/cle.png&h=500&w=500"},
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{"team": "COL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/col.png&h=500&w=500"},
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{"team": "DET", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/det.png&h=500&w=500"},
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{"team": "HOU", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/hou.png&h=500&w=500"},
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{"team": "KC", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/kc.png&h=500&w=500"},
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{"team": "LAA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/laa.png&h=500&w=500"},
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{"team": "LAD", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/lad.png&h=500&w=500"},
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{"team": "MIA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/mia.png&h=500&w=500"},
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{"team": "MIL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/mil.png&h=500&w=500"},
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{"team": "MIN", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/min.png&h=500&w=500"},
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{"team": "NYM", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/nym.png&h=500&w=500"},
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{"team": "NYY", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/nyy.png&h=500&w=500"},
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{"team": "PHI", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/phi.png&h=500&w=500"},
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{"team": "PIT", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/pit.png&h=500&w=500"},
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{"team": "SD", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sd.png&h=500&w=500"},
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{"team": "SF", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sf.png&h=500&w=500"},
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{"team": "SEA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sea.png&h=500&w=500"},
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{"team": "STL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/stl.png&h=500&w=500"},
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{"team": "TB", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tb.png&h=500&w=500"},
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{"team": "TEX", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tex.png&h=500&w=500"},
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{"team": "TOR", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tor.png&h=500&w=500"},
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{"team": "WSH", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/wsh.png&h=500&w=500"},
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{"team": "ZZZ", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/leagues/500/mlb.png&w=500&h=500"}
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]
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df_image = pd.DataFrame(mlb_teams)
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image_dict = df_image.set_index('team')['logo_url'].to_dict()
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image_dict_flip = df_image.set_index('logo_url')['team'].to_dict()
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import requests
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import requests
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import os
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CAMPAIGN_ID = os.getenv("CAMPAIGN_ID")
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ACCESS_TOKEN = os.getenv("ACCESS_TOKEN")
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BACKUP_PW = os.getenv("BACKUP_PW")
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ADMIN_PW = os.getenv("ADMIN_PW")
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url = f"https://www.patreon.com/api/oauth2/v2/campaigns/{CAMPAIGN_ID}/members"
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headers = {
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"Authorization": f"Bearer {ACCESS_TOKEN}"
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}
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# Simple parameters, requesting the member's email and currently entitled tiers
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params = {
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"fields[member]": "full_name,email", # Request the member's email
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"include": "currently_entitled_tiers", # Include the currently entitled tiers
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"page[size]": 1000 # Fetch up to 1000 patrons per request
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}
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response = requests.get(url, headers=headers, params=params)
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VALID_PASSWORDS = []
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if response.status_code == 200:
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data = response.json()
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for patron in data['data']:
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try:
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tiers = patron['relationships']['currently_entitled_tiers']['data']
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if any(tier['id'] == '9078921' for tier in tiers):
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full_name = patron['attributes']['email']
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VALID_PASSWORDS.append(full_name)
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except KeyError:
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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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# Define the login UI
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login_ui = ui.page_fluid(
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ui.card(
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ui.h2([
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"TJStats Daily Pitching Summary App ",
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ui.tags.a("(@TJStats)", href="https://twitter.com/TJStats", target="_blank")
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]),
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ui.p(
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"This App is available to Superstar Patrons. Please enter your Patreon email address in the box below. If you're having trouble, please refer to the ",
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ui.tags.a("Patreon post", href="https://www.patreon.com/posts/122860440", target="_blank"),
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"."
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),
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ui.input_password("password", "Enter Patreon Email (or Password from Link):", width="25%"),
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ui.tags.input(
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type="checkbox",
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id="authenticated",
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value=False,
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disabled=True
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),
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ui.input_action_button("login", "Login", class_="btn-primary"),
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ui.output_text("login_message"),
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)
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)
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# Define the UI layout for the app
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main_ui = ui.page_fluid(
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ui.layout_sidebar(
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ui.panel_sidebar(
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# Row for selecting season and level
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ui.row(
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ui.column(6, ui.input_date('date_input', 'Select Date')),
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ui.column(6, ui.input_select('level_input', 'Select Level', level_dict))
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),
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ui.row(ui.input_action_button("game_button", "Get Games", class_="btn-primary")),
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ui.row(
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ui.row(ui.column(12, ui.output_ui('game_select_ui', 'Select Game'))),
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ui.row(ui.column(12, ui.output_ui('player_select_ui', 'Select Player'))),
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),
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# Rows for selecting plots and split options
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ui.row(
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ui.column(4, ui.input_select('plot_id_1', 'Plot Left', function_dict, multiple=False, selected='location_plot_lhb')),
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ui.column(4, ui.input_select('plot_id_2', 'Plot Middle', function_dict, multiple=False, selected='break_plot')),
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ui.column(4, ui.input_select('plot_id_3', 'Plot Right', function_dict, multiple=False, selected='location_plot_rhb'))
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),
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ui.row(
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ui.column(6, ui.input_select('split_id', 'Select Split', split_dict, multiple=False)),
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ui.column(6, ui.input_numeric('rolling_window', 'Rolling Window (for tjStuff+ Plot)', min=1, value=50))
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),
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ui.row(
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ui.column(6, ui.input_switch("switch", "Custom Team?", False)),
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ui.column(6, ui.input_select('logo_select', 'Select Custom Logo', image_dict_flip, multiple=False))
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),
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# Row for the action button to generate plot
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ui.row(ui.input_action_button("generate_plot", "Generate Plot", class_="btn-primary"))
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),
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ui.panel_main(
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# Main content area with tabs (placed directly in page_sidebar)
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ui.navset_tab(
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ui.nav_panel("Pitching Summary",
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ui.output_text("status"),
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ui.output_plot('plot', width='2100px', height='2100px')
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),
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ui.nav_panel("Table Summary",
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ui.output_data_frame("grid_summary")),
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ui.nav_panel("Daily Table",
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ui.output_data_frame("grid")),
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ui.nav_panel("Daily Table Style",
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ui.input_numeric('head', 'Table Limit', min=0, value=10),
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ui.input_numeric('pitch_min', 'Pitch Min.', min=0, value=10),
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ui.card(
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{"style": "width: 1560px;"},
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ui.head_content(
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ui.tags.script(src="https://html2canvas.hertzen.com/dist/html2canvas.min.js"),
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ui.tags.script("""
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async function downloadPNG() {
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const content = document.getElementById('capture-section');
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try {
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// Create a wrapper div with right margin only
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const wrapper = document.createElement('div');
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wrapper.style.paddingRight = '20px';
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wrapper.style.paddingLeft = '20px';
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wrapper.style.paddingTop = '20px';
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wrapper.style.backgroundColor = 'white';
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// Clone the content
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const clonedContent = content.cloneNode(true);
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wrapper.appendChild(clonedContent);
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// Add wrapper to document temporarily
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document.body.appendChild(wrapper);
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const canvas = await html2canvas(wrapper, {
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backgroundColor: 'white',
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scale: 2,
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useCORS: true,
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logging: false,
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width: content.offsetWidth + 20,
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height: content.offsetHeight + 50
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});
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// Remove temporary wrapper
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document.body.removeChild(wrapper);
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// Convert canvas to blob
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canvas.toBlob(function(blob) {
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const url = URL.createObjectURL(blob);
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const link = document.createElement('a');
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link.href = url;
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link.download = 'stats_card.png';
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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URL.revokeObjectURL(url);
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}, 'image/png');
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} catch (error) {
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console.error('Error generating PNG:', error);
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}
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}
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$(document).on('click', '#capture_png_btn', function() {
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downloadPNG();
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});
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""")
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),
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ui.div(
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{
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"id": "capture-section",
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"style": "background-color: white; padding: 0; margin-left: 20px; margin-right: 20px; margin-top: 20px; margin-bottom: 20px;"
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},
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ui.div({"style": "font-size:3em;"}, ui.output_text("style_title")),
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ui.div({"style": "font-size:1.5em;"}, ui.output_text("min_title")),
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ui.br(),
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ui.output_table("grid_style"),
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ui.br(),
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ui.row(
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ui.column(8,
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ui.div(
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{"style": "text-align: left;"},
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ui.markdown("### By: @TJStats"),
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ui.markdown("### Data: MLB"),
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)
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),
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ui.column(4,
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ui.div(
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{"style": "text-align: left; height: 86px; display: flex; justify-content: flex-end;"},
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ui.output_image("logo", height="86px")
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)
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)
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),
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ui.div({"style": "height: 20px;"})
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),
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ui.div(
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| 314 |
-
{"style": "display: flex; gap: 10px;"},
|
| 315 |
-
ui.input_action_button("capture_png_btn", "Save as PNG", class_="btn-success"),
|
| 316 |
-
),
|
| 317 |
-
)
|
| 318 |
-
)
|
| 319 |
-
)
|
| 320 |
-
)
|
| 321 |
-
)
|
| 322 |
-
)
|
| 323 |
-
|
| 324 |
-
# Combined UI with conditional panel
|
| 325 |
-
app_ui = ui.page_fluid(
|
| 326 |
-
ui.tags.head(
|
| 327 |
-
ui.tags.script(src="script.js")
|
| 328 |
-
),
|
| 329 |
-
|
| 330 |
-
ui.panel_conditional(
|
| 331 |
-
"!input.authenticated",
|
| 332 |
-
login_ui
|
| 333 |
-
),
|
| 334 |
-
ui.panel_conditional(
|
| 335 |
-
"input.authenticated",
|
| 336 |
-
main_ui
|
| 337 |
-
)
|
| 338 |
-
)
|
| 339 |
-
|
| 340 |
-
|
| 341 |
-
|
| 342 |
-
def server(input, output, session):
|
| 343 |
-
|
| 344 |
-
|
| 345 |
-
@reactive.Effect
|
| 346 |
-
@reactive.event(input.login)
|
| 347 |
-
def check_password():
|
| 348 |
-
if input.password() in VALID_PASSWORDS:
|
| 349 |
-
ui.update_checkbox("authenticated", value=True)
|
| 350 |
-
ui.update_text("login_message", value="")
|
| 351 |
-
else:
|
| 352 |
-
ui.update_text("login_message", value="Invalid password!")
|
| 353 |
-
ui.update_text("password", value="")
|
| 354 |
-
|
| 355 |
-
@output
|
| 356 |
-
@render.text
|
| 357 |
-
def login_message():
|
| 358 |
-
return ""
|
| 359 |
-
|
| 360 |
-
|
| 361 |
-
@render.image
|
| 362 |
-
def logo():
|
| 363 |
-
# You'll need to provide the actual image path or URL here
|
| 364 |
-
return {"src": "tjstats_logo.jpg"}
|
| 365 |
-
@render.text
|
| 366 |
-
def style_title():
|
| 367 |
-
|
| 368 |
-
return f"Daily {level_dict[input.level_input()]} tjStuff+ Leaders - {str(input.date_input())}"
|
| 369 |
-
|
| 370 |
-
@render.text
|
| 371 |
-
def min_title():
|
| 372 |
-
|
| 373 |
-
return f"(Min. {int(input.pitch_min())} Pitches)"
|
| 374 |
-
|
| 375 |
-
@render.ui
|
| 376 |
-
@reactive.event(input.game_button,input.date_input,input.level_input, ignore_none=False)
|
| 377 |
-
def game_select_ui():
|
| 378 |
-
df = (scrape.get_schedule(year_input=[int(str(input.date_input())[:4])],
|
| 379 |
-
sport_id=[int(input.level_input())],
|
| 380 |
-
game_type=['S','R','P','E','A','I','W','F','L'])
|
| 381 |
-
.filter(pl.col('gameday_type').is_in(['P','E']))
|
| 382 |
-
.filter(pl.col('state').is_in(['I','M','N','O','F','T','U','Q','R']))
|
| 383 |
-
.with_columns(pl.col('date').cast(pl.Utf8))
|
| 384 |
-
.filter(pl.col('date') == str(input.date_input()))).with_columns(
|
| 385 |
-
(pl.col('away')+' @ '+pl.col('home')+' - '+pl.col('state')).alias('matchup')).sort('time')
|
| 386 |
-
game_dict = dict(zip(df['game_id'], df['matchup']))
|
| 387 |
-
print('GAMES')
|
| 388 |
-
print(game_dict)
|
| 389 |
-
|
| 390 |
-
return ui.input_select("game_id", "Select Game", game_dict)
|
| 391 |
-
|
| 392 |
-
|
| 393 |
-
@render.ui
|
| 394 |
-
@reactive.event(input.game_id)
|
| 395 |
-
def player_select_ui():
|
| 396 |
-
try:
|
| 397 |
-
# Get the list of pitchers for the selected level and season
|
| 398 |
-
data_list = scrape.get_data(game_list_input = [int(input.game_id())])
|
| 399 |
-
print('DATALIST')
|
| 400 |
-
print(input.game_id())
|
| 401 |
-
|
| 402 |
-
|
| 403 |
-
(pl.col(
|
| 404 |
-
|
| 405 |
-
|
| 406 |
-
|
| 407 |
-
|
| 408 |
-
|
| 409 |
-
|
| 410 |
-
|
| 411 |
-
# print(
|
| 412 |
-
|
| 413 |
-
|
| 414 |
-
print(
|
| 415 |
-
|
| 416 |
-
|
| 417 |
-
|
| 418 |
-
|
| 419 |
-
|
| 420 |
-
|
| 421 |
-
@
|
| 422 |
-
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| 423 |
-
|
| 424 |
-
|
| 425 |
-
|
| 426 |
-
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| 427 |
-
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| 428 |
-
|
| 429 |
-
@
|
| 430 |
-
@
|
| 431 |
-
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| 432 |
-
|
| 433 |
-
|
| 434 |
-
|
| 435 |
-
|
| 436 |
-
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| 437 |
-
|
| 438 |
-
|
| 439 |
-
|
| 440 |
-
|
| 441 |
-
#
|
| 442 |
-
# (pl.col("
|
| 443 |
-
# (pl.col(
|
| 444 |
-
|
| 445 |
-
|
| 446 |
-
#
|
| 447 |
-
#
|
| 448 |
-
|
| 449 |
-
|
| 450 |
-
|
| 451 |
-
(pl.col("
|
| 452 |
-
(pl.col(
|
| 453 |
-
|
| 454 |
-
|
| 455 |
-
|
| 456 |
-
|
| 457 |
-
|
| 458 |
-
|
| 459 |
-
|
| 460 |
-
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| 461 |
-
|
| 462 |
-
|
| 463 |
-
#
|
| 464 |
-
#
|
| 465 |
-
|
| 466 |
-
|
| 467 |
-
|
| 468 |
-
|
| 469 |
-
|
| 470 |
-
|
| 471 |
-
|
| 472 |
-
plt.
|
| 473 |
-
|
| 474 |
-
|
| 475 |
-
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| 476 |
-
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| 477 |
-
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| 478 |
-
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| 479 |
-
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| 480 |
-
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| 481 |
-
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| 482 |
-
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| 483 |
-
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| 484 |
-
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| 485 |
-
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| 486 |
-
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| 487 |
-
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| 488 |
-
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| 489 |
-
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| 490 |
-
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| 491 |
-
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| 492 |
-
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| 493 |
-
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| 494 |
-
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| 495 |
-
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| 496 |
-
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| 497 |
-
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| 498 |
-
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| 499 |
-
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| 500 |
-
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| 501 |
-
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-
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| 504 |
-
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| 505 |
-
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-
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| 507 |
-
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| 508 |
-
|
| 509 |
-
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| 510 |
-
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| 511 |
-
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| 512 |
-
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-
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| 514 |
-
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| 515 |
-
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| 516 |
-
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-
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-
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| 519 |
-
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| 520 |
-
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| 521 |
-
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| 522 |
-
|
| 523 |
-
|
| 524 |
-
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| 525 |
-
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| 526 |
-
|
| 527 |
-
|
| 528 |
-
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| 529 |
-
|
| 530 |
-
|
| 531 |
-
|
| 532 |
-
|
| 533 |
-
|
| 534 |
-
|
| 535 |
-
ax_logo.
|
| 536 |
-
ax_logo.
|
| 537 |
-
|
| 538 |
-
|
| 539 |
-
|
| 540 |
-
|
| 541 |
-
|
| 542 |
-
|
| 543 |
-
|
| 544 |
-
|
| 545 |
-
|
| 546 |
-
#
|
| 547 |
-
#
|
| 548 |
-
#
|
| 549 |
-
#
|
| 550 |
-
|
| 551 |
-
|
| 552 |
-
|
| 553 |
-
|
| 554 |
-
|
| 555 |
-
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| 556 |
-
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| 557 |
-
|
| 558 |
-
|
| 559 |
-
|
| 560 |
-
|
| 561 |
-
|
| 562 |
-
|
| 563 |
-
|
| 564 |
-
|
| 565 |
-
|
| 566 |
-
|
| 567 |
-
|
| 568 |
-
|
| 569 |
-
|
| 570 |
-
|
| 571 |
-
|
| 572 |
-
|
| 573 |
-
|
| 574 |
-
|
| 575 |
-
|
| 576 |
-
|
| 577 |
-
|
| 578 |
-
|
| 579 |
-
|
| 580 |
-
|
| 581 |
-
|
| 582 |
-
|
| 583 |
-
|
| 584 |
-
|
| 585 |
-
|
| 586 |
-
|
| 587 |
-
|
| 588 |
-
|
| 589 |
-
|
| 590 |
-
|
| 591 |
-
|
| 592 |
-
|
| 593 |
-
|
| 594 |
-
|
| 595 |
-
|
| 596 |
-
|
| 597 |
-
|
| 598 |
-
|
| 599 |
-
|
| 600 |
-
|
| 601 |
-
|
| 602 |
-
|
| 603 |
-
|
| 604 |
-
ax_watermark.
|
| 605 |
-
ax_watermark.
|
| 606 |
-
|
| 607 |
-
|
| 608 |
-
|
| 609 |
-
|
| 610 |
-
|
| 611 |
-
|
| 612 |
-
|
| 613 |
-
ax_watermark2.
|
| 614 |
-
ax_watermark2.
|
| 615 |
-
|
| 616 |
-
|
| 617 |
-
ax_watermark2.
|
| 618 |
-
ax_watermark2.
|
| 619 |
-
|
| 620 |
-
|
| 621 |
-
|
| 622 |
-
|
| 623 |
-
|
| 624 |
-
|
| 625 |
-
|
| 626 |
-
|
| 627 |
-
|
| 628 |
-
|
| 629 |
-
|
| 630 |
-
|
| 631 |
-
|
| 632 |
-
|
| 633 |
-
|
| 634 |
-
|
| 635 |
-
|
| 636 |
-
|
| 637 |
-
|
| 638 |
-
|
| 639 |
-
|
| 640 |
-
@
|
| 641 |
-
@
|
| 642 |
-
|
| 643 |
-
|
| 644 |
-
|
| 645 |
-
|
| 646 |
-
|
| 647 |
-
(pl.col("
|
| 648 |
-
(pl.col(
|
| 649 |
-
|
| 650 |
-
|
| 651 |
-
|
| 652 |
-
|
| 653 |
-
|
| 654 |
-
|
| 655 |
-
|
| 656 |
-
|
| 657 |
-
|
| 658 |
-
|
| 659 |
-
|
| 660 |
-
'
|
| 661 |
-
'
|
| 662 |
-
'
|
| 663 |
-
'
|
| 664 |
-
'
|
| 665 |
-
|
| 666 |
-
|
| 667 |
-
|
| 668 |
-
|
| 669 |
-
|
| 670 |
-
|
| 671 |
-
|
| 672 |
-
|
| 673 |
-
|
| 674 |
-
|
| 675 |
-
|
| 676 |
-
|
| 677 |
-
|
| 678 |
-
|
| 679 |
-
|
| 680 |
-
|
| 681 |
-
|
| 682 |
-
|
| 683 |
-
@
|
| 684 |
-
@
|
| 685 |
-
|
| 686 |
-
|
| 687 |
-
|
| 688 |
-
|
| 689 |
-
|
| 690 |
-
|
| 691 |
-
|
| 692 |
-
|
| 693 |
-
|
| 694 |
-
|
| 695 |
-
|
| 696 |
-
|
| 697 |
-
|
| 698 |
-
|
| 699 |
-
|
| 700 |
-
|
| 701 |
-
|
| 702 |
-
(pl.col(
|
| 703 |
-
|
| 704 |
-
|
| 705 |
-
|
| 706 |
-
|
| 707 |
-
|
| 708 |
-
|
| 709 |
-
|
| 710 |
-
|
| 711 |
-
|
| 712 |
-
|
| 713 |
-
|
| 714 |
-
|
| 715 |
-
|
| 716 |
-
|
| 717 |
-
|
| 718 |
-
|
| 719 |
-
|
| 720 |
-
|
| 721 |
-
|
| 722 |
-
|
| 723 |
-
|
| 724 |
-
|
| 725 |
-
|
| 726 |
-
|
| 727 |
-
|
| 728 |
-
|
| 729 |
-
|
| 730 |
-
pl.col('tj_stuff_plus').
|
| 731 |
-
|
| 732 |
-
|
| 733 |
-
|
| 734 |
-
|
| 735 |
-
|
| 736 |
-
|
| 737 |
-
|
| 738 |
-
pl.col('
|
| 739 |
-
|
| 740 |
-
|
| 741 |
-
|
| 742 |
-
|
| 743 |
-
|
| 744 |
-
|
| 745 |
-
|
| 746 |
-
|
| 747 |
-
|
| 748 |
-
|
| 749 |
-
|
| 750 |
-
|
| 751 |
-
'
|
| 752 |
-
|
| 753 |
-
|
| 754 |
-
|
| 755 |
-
'
|
| 756 |
-
|
| 757 |
-
|
| 758 |
-
|
| 759 |
-
|
| 760 |
-
|
| 761 |
-
|
| 762 |
-
|
| 763 |
-
|
| 764 |
-
df_small.filter(pl.col('pitch_type')=='All')['
|
| 765 |
-
|
| 766 |
-
|
| 767 |
-
|
| 768 |
-
|
| 769 |
-
|
| 770 |
-
|
| 771 |
-
|
| 772 |
-
|
| 773 |
-
|
| 774 |
-
|
| 775 |
-
|
| 776 |
-
|
| 777 |
-
|
| 778 |
-
|
| 779 |
-
|
| 780 |
-
|
| 781 |
-
|
| 782 |
-
|
| 783 |
-
|
| 784 |
-
|
| 785 |
-
|
| 786 |
-
|
| 787 |
-
|
| 788 |
-
|
| 789 |
-
|
| 790 |
-
|
| 791 |
-
|
| 792 |
-
|
| 793 |
-
|
| 794 |
-
|
| 795 |
-
|
| 796 |
-
|
| 797 |
-
|
| 798 |
-
@
|
| 799 |
-
@
|
| 800 |
-
|
| 801 |
-
|
| 802 |
-
|
| 803 |
-
|
| 804 |
-
|
| 805 |
-
|
| 806 |
-
|
| 807 |
-
|
| 808 |
-
|
| 809 |
-
|
| 810 |
-
|
| 811 |
-
|
| 812 |
-
|
| 813 |
-
|
| 814 |
-
|
| 815 |
-
|
| 816 |
-
|
| 817 |
-
|
| 818 |
-
(pl.col(
|
| 819 |
-
|
| 820 |
-
|
| 821 |
-
|
| 822 |
-
|
| 823 |
-
|
| 824 |
-
|
| 825 |
-
|
| 826 |
-
|
| 827 |
-
|
| 828 |
-
|
| 829 |
-
|
| 830 |
-
|
| 831 |
-
|
| 832 |
-
|
| 833 |
-
|
| 834 |
-
|
| 835 |
-
|
| 836 |
-
|
| 837 |
-
#
|
| 838 |
-
# )
|
| 839 |
-
|
| 840 |
-
|
| 841 |
-
|
| 842 |
-
|
| 843 |
-
|
| 844 |
-
|
| 845 |
-
|
| 846 |
-
pl.col('tj_stuff_plus').
|
| 847 |
-
|
| 848 |
-
|
| 849 |
-
|
| 850 |
-
|
| 851 |
-
|
| 852 |
-
|
| 853 |
-
|
| 854 |
-
pl.col('
|
| 855 |
-
|
| 856 |
-
|
| 857 |
-
|
| 858 |
-
|
| 859 |
-
|
| 860 |
-
|
| 861 |
-
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| 862 |
-
|
| 863 |
-
|
| 864 |
-
|
| 865 |
-
|
| 866 |
-
|
| 867 |
-
'
|
| 868 |
-
|
| 869 |
-
|
| 870 |
-
|
| 871 |
-
'
|
| 872 |
-
|
| 873 |
-
|
| 874 |
-
|
| 875 |
-
|
| 876 |
-
|
| 877 |
-
|
| 878 |
-
|
| 879 |
-
|
| 880 |
-
df_small.filter(pl.col('pitch_type')=='All')['
|
| 881 |
-
|
| 882 |
-
|
| 883 |
-
|
| 884 |
-
|
| 885 |
-
|
| 886 |
-
|
| 887 |
-
|
| 888 |
-
|
| 889 |
-
|
| 890 |
-
|
| 891 |
-
|
| 892 |
-
|
| 893 |
-
|
| 894 |
-
|
| 895 |
-
|
| 896 |
-
|
| 897 |
-
|
| 898 |
-
|
| 899 |
-
|
| 900 |
-
|
| 901 |
-
|
| 902 |
-
|
| 903 |
-
|
| 904 |
-
df_export
|
| 905 |
-
|
| 906 |
-
|
| 907 |
-
|
| 908 |
-
|
| 909 |
-
|
| 910 |
-
|
| 911 |
-
|
| 912 |
-
|
| 913 |
-
|
| 914 |
-
|
| 915 |
-
|
| 916 |
-
|
| 917 |
-
|
| 918 |
-
|
| 919 |
-
|
| 920 |
-
|
| 921 |
-
|
| 922 |
-
|
| 923 |
-
|
| 924 |
-
|
| 925 |
-
|
| 926 |
-
#df_style = df_style
|
| 927 |
-
df_style = df_style
|
| 928 |
-
|
| 929 |
-
|
| 930 |
-
|
| 931 |
-
|
| 932 |
-
|
| 933 |
-
**{'
|
| 934 |
-
**{'min-width':'
|
| 935 |
-
**{'min-width':'100px'},subset = ((list(df_style.index[:-1]),df_style.columns[
|
| 936 |
-
|
| 937 |
-
**{'
|
| 938 |
-
|
| 939 |
-
|
| 940 |
-
#
|
| 941 |
-
#
|
| 942 |
-
|
| 943 |
-
|
| 944 |
-
|
| 945 |
-
|
| 946 |
-
|
| 947 |
-
|
|
|
|
| 948 |
app = App(app_ui, server)
|
|
|
|
| 1 |
+
import polars as pl
|
| 2 |
+
import numpy as np
|
| 3 |
+
import pandas as pd
|
| 4 |
+
import api_scraper
|
| 5 |
+
scrape = api_scraper.MLB_Scrape()
|
| 6 |
+
from functions import df_update
|
| 7 |
+
from functions import pitch_summary_functions
|
| 8 |
+
update = df_update.df_update()
|
| 9 |
+
from stuff_model import feature_engineering as fe
|
| 10 |
+
from stuff_model import stuff_apply
|
| 11 |
+
import requests
|
| 12 |
+
import joblib
|
| 13 |
+
from matplotlib.gridspec import GridSpec
|
| 14 |
+
from shiny import App, reactive, ui, render
|
| 15 |
+
from shiny.ui import h2, tags
|
| 16 |
+
import matplotlib.pyplot as plt
|
| 17 |
+
import matplotlib.gridspec as gridspec
|
| 18 |
+
import seaborn as sns
|
| 19 |
+
from functions.pitch_summary_functions import *
|
| 20 |
+
from shiny import App, reactive, ui, render
|
| 21 |
+
from shiny.ui import h2, tags
|
| 22 |
+
import datetime
|
| 23 |
+
import matplotlib.colors
|
| 24 |
+
import pandas as pd
|
| 25 |
+
cmap_sum = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#648FFF","#FFFFFF","#FFB000"])
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
colour_palette = ['#FFB000','#648FFF','#785EF0',
|
| 29 |
+
'#DC267F','#FE6100','#3D1EB2','#894D80','#16AA02','#B5592B','#A3C1ED']
|
| 30 |
+
|
| 31 |
+
|
| 32 |
+
year_list = [2017,2018,2019,2020,2021,2022,2023,2024]
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
level_dict = {'1':'MLB',
|
| 37 |
+
'11':'AAA',
|
| 38 |
+
'12':'AA',
|
| 39 |
+
'13':'A+',
|
| 40 |
+
'14':'A',
|
| 41 |
+
'17':'AFL',
|
| 42 |
+
'22':'College',
|
| 43 |
+
'21':'Prospects',
|
| 44 |
+
'51':'International' }
|
| 45 |
+
|
| 46 |
+
function_dict={
|
| 47 |
+
'velocity_kdes':'Velocity Distributions',
|
| 48 |
+
'break_plot':'Pitch Movement',
|
| 49 |
+
'break_plot_rhh':'Pitch Movement LHH',
|
| 50 |
+
'break_plot_lhh':'Pitch Movement RHH',
|
| 51 |
+
'tj_stuff_roling':'Rolling tjStuff+ by Pitch',
|
| 52 |
+
'tj_stuff_roling_game':'Rolling tjStuff+ by Game',
|
| 53 |
+
'location_plot_lhb':'Locations vs LHB',
|
| 54 |
+
'location_plot_rhb':'Locations vs RHB',
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
|
| 58 |
+
split_dict = {'all':'All',
|
| 59 |
+
'left':'LHH',
|
| 60 |
+
'right':'RHH'}
|
| 61 |
+
|
| 62 |
+
split_dict_hand = {'all':['L','R'],
|
| 63 |
+
'left':['L'],
|
| 64 |
+
'right':['R']}
|
| 65 |
+
|
| 66 |
+
# List of MLB teams and their corresponding ESPN logo URLs
|
| 67 |
+
mlb_teams = [
|
| 68 |
+
{"team": "AZ", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/ari.png&h=500&w=500"},
|
| 69 |
+
{"team": "ATH", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/oak.png&h=500&w=500"},
|
| 70 |
+
{"team": "ATL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/atl.png&h=500&w=500"},
|
| 71 |
+
{"team": "BAL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/bal.png&h=500&w=500"},
|
| 72 |
+
{"team": "BOS", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/bos.png&h=500&w=500"},
|
| 73 |
+
{"team": "CHC", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/chc.png&h=500&w=500"},
|
| 74 |
+
{"team": "CWS", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/chw.png&h=500&w=500"},
|
| 75 |
+
{"team": "CIN", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/cin.png&h=500&w=500"},
|
| 76 |
+
{"team": "CLE", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/cle.png&h=500&w=500"},
|
| 77 |
+
{"team": "COL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/col.png&h=500&w=500"},
|
| 78 |
+
{"team": "DET", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/det.png&h=500&w=500"},
|
| 79 |
+
{"team": "HOU", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/hou.png&h=500&w=500"},
|
| 80 |
+
{"team": "KC", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/kc.png&h=500&w=500"},
|
| 81 |
+
{"team": "LAA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/laa.png&h=500&w=500"},
|
| 82 |
+
{"team": "LAD", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/lad.png&h=500&w=500"},
|
| 83 |
+
{"team": "MIA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/mia.png&h=500&w=500"},
|
| 84 |
+
{"team": "MIL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/mil.png&h=500&w=500"},
|
| 85 |
+
{"team": "MIN", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/min.png&h=500&w=500"},
|
| 86 |
+
{"team": "NYM", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/nym.png&h=500&w=500"},
|
| 87 |
+
{"team": "NYY", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/nyy.png&h=500&w=500"},
|
| 88 |
+
{"team": "PHI", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/phi.png&h=500&w=500"},
|
| 89 |
+
{"team": "PIT", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/pit.png&h=500&w=500"},
|
| 90 |
+
{"team": "SD", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sd.png&h=500&w=500"},
|
| 91 |
+
{"team": "SF", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sf.png&h=500&w=500"},
|
| 92 |
+
{"team": "SEA", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/sea.png&h=500&w=500"},
|
| 93 |
+
{"team": "STL", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/stl.png&h=500&w=500"},
|
| 94 |
+
{"team": "TB", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tb.png&h=500&w=500"},
|
| 95 |
+
{"team": "TEX", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tex.png&h=500&w=500"},
|
| 96 |
+
{"team": "TOR", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/tor.png&h=500&w=500"},
|
| 97 |
+
{"team": "WSH", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/mlb/500/scoreboard/wsh.png&h=500&w=500"},
|
| 98 |
+
{"team": "ZZZ", "logo_url": "https://a.espncdn.com/combiner/i?img=/i/teamlogos/leagues/500/mlb.png&w=500&h=500"}
|
| 99 |
+
]
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
df_image = pd.DataFrame(mlb_teams)
|
| 103 |
+
image_dict = df_image.set_index('team')['logo_url'].to_dict()
|
| 104 |
+
image_dict_flip = df_image.set_index('logo_url')['team'].to_dict()
|
| 105 |
+
|
| 106 |
+
|
| 107 |
+
import requests
|
| 108 |
+
|
| 109 |
+
import requests
|
| 110 |
+
|
| 111 |
+
import os
|
| 112 |
+
CAMPAIGN_ID = os.getenv("CAMPAIGN_ID")
|
| 113 |
+
ACCESS_TOKEN = os.getenv("ACCESS_TOKEN")
|
| 114 |
+
BACKUP_PW = os.getenv("BACKUP_PW")
|
| 115 |
+
ADMIN_PW = os.getenv("ADMIN_PW")
|
| 116 |
+
|
| 117 |
+
url = f"https://www.patreon.com/api/oauth2/v2/campaigns/{CAMPAIGN_ID}/members"
|
| 118 |
+
|
| 119 |
+
headers = {
|
| 120 |
+
"Authorization": f"Bearer {ACCESS_TOKEN}"
|
| 121 |
+
}
|
| 122 |
+
|
| 123 |
+
# Simple parameters, requesting the member's email and currently entitled tiers
|
| 124 |
+
params = {
|
| 125 |
+
"fields[member]": "full_name,email", # Request the member's email
|
| 126 |
+
"include": "currently_entitled_tiers", # Include the currently entitled tiers
|
| 127 |
+
"page[size]": 1000 # Fetch up to 1000 patrons per request
|
| 128 |
+
}
|
| 129 |
+
|
| 130 |
+
response = requests.get(url, headers=headers, params=params)
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
VALID_PASSWORDS = []
|
| 134 |
+
if response.status_code == 200:
|
| 135 |
+
data = response.json()
|
| 136 |
+
for patron in data['data']:
|
| 137 |
+
try:
|
| 138 |
+
tiers = patron['relationships']['currently_entitled_tiers']['data']
|
| 139 |
+
if any(tier['id'] == '9078921' for tier in tiers):
|
| 140 |
+
full_name = patron['attributes']['email']
|
| 141 |
+
VALID_PASSWORDS.append(full_name)
|
| 142 |
+
except KeyError:
|
| 143 |
+
continue
|
| 144 |
+
VALID_PASSWORDS.append(BACKUP_PW)
|
| 145 |
+
VALID_PASSWORDS.append(ADMIN_PW)
|
| 146 |
+
VALID_PASSWORDS.append('')
|
| 147 |
+
|
| 148 |
+
from shiny import App, reactive, ui, render
|
| 149 |
+
from shiny.ui import h2, tags
|
| 150 |
+
|
| 151 |
+
# Define the login UI
|
| 152 |
+
login_ui = ui.page_fluid(
|
| 153 |
+
ui.card(
|
| 154 |
+
ui.h2([
|
| 155 |
+
"TJStats Daily Pitching Summary App ",
|
| 156 |
+
ui.tags.a("(@TJStats)", href="https://twitter.com/TJStats", target="_blank")
|
| 157 |
+
]),
|
| 158 |
+
ui.p(
|
| 159 |
+
"This App is available to Superstar Patrons. Please enter your Patreon email address in the box below. If you're having trouble, please refer to the ",
|
| 160 |
+
ui.tags.a("Patreon post", href="https://www.patreon.com/posts/122860440", target="_blank"),
|
| 161 |
+
"."
|
| 162 |
+
),
|
| 163 |
+
ui.input_password("password", "Enter Patreon Email (or Password from Link):", width="25%"),
|
| 164 |
+
ui.tags.input(
|
| 165 |
+
type="checkbox",
|
| 166 |
+
id="authenticated",
|
| 167 |
+
value=False,
|
| 168 |
+
disabled=True
|
| 169 |
+
),
|
| 170 |
+
ui.input_action_button("login", "Login", class_="btn-primary"),
|
| 171 |
+
ui.output_text("login_message"),
|
| 172 |
+
)
|
| 173 |
+
)
|
| 174 |
+
|
| 175 |
+
|
| 176 |
+
|
| 177 |
+
|
| 178 |
+
# Define the UI layout for the app
|
| 179 |
+
main_ui = ui.page_fluid(
|
| 180 |
+
ui.layout_sidebar(
|
| 181 |
+
ui.panel_sidebar(
|
| 182 |
+
# Row for selecting season and level
|
| 183 |
+
ui.row(
|
| 184 |
+
|
| 185 |
+
ui.column(6, ui.input_date('date_input', 'Select Date')),
|
| 186 |
+
ui.column(6, ui.input_select('level_input', 'Select Level', level_dict))
|
| 187 |
+
),
|
| 188 |
+
ui.row(ui.input_action_button("game_button", "Get Games", class_="btn-primary")),
|
| 189 |
+
ui.row(
|
| 190 |
+
|
| 191 |
+
ui.row(ui.column(12, ui.output_ui('game_select_ui', 'Select Game'))),
|
| 192 |
+
ui.row(ui.column(12, ui.output_ui('player_select_ui', 'Select Player'))),
|
| 193 |
+
),
|
| 194 |
+
|
| 195 |
+
# Rows for selecting plots and split options
|
| 196 |
+
ui.row(
|
| 197 |
+
ui.column(4, ui.input_select('plot_id_1', 'Plot Left', function_dict, multiple=False, selected='location_plot_lhb')),
|
| 198 |
+
ui.column(4, ui.input_select('plot_id_2', 'Plot Middle', function_dict, multiple=False, selected='break_plot')),
|
| 199 |
+
ui.column(4, ui.input_select('plot_id_3', 'Plot Right', function_dict, multiple=False, selected='location_plot_rhb'))
|
| 200 |
+
),
|
| 201 |
+
ui.row(
|
| 202 |
+
ui.column(6, ui.input_select('split_id', 'Select Split', split_dict, multiple=False)),
|
| 203 |
+
ui.column(6, ui.input_numeric('rolling_window', 'Rolling Window (for tjStuff+ Plot)', min=1, value=50))
|
| 204 |
+
),
|
| 205 |
+
ui.row(
|
| 206 |
+
ui.column(6, ui.input_switch("switch", "Custom Team?", False)),
|
| 207 |
+
ui.column(6, ui.input_select('logo_select', 'Select Custom Logo', image_dict_flip, multiple=False))
|
| 208 |
+
),
|
| 209 |
+
|
| 210 |
+
# Row for the action button to generate plot
|
| 211 |
+
ui.row(ui.input_action_button("generate_plot", "Generate Plot", class_="btn-primary"))
|
| 212 |
+
),
|
| 213 |
+
|
| 214 |
+
ui.panel_main(
|
| 215 |
+
# Main content area with tabs (placed directly in page_sidebar)
|
| 216 |
+
ui.navset_tab(
|
| 217 |
+
ui.nav_panel("Pitching Summary",
|
| 218 |
+
ui.output_text("status"),
|
| 219 |
+
ui.output_plot('plot', width='2100px', height='2100px')
|
| 220 |
+
),
|
| 221 |
+
ui.nav_panel("Table Summary",
|
| 222 |
+
ui.output_data_frame("grid_summary")),
|
| 223 |
+
|
| 224 |
+
ui.nav_panel("Daily Table",
|
| 225 |
+
ui.output_data_frame("grid")),
|
| 226 |
+
|
| 227 |
+
ui.nav_panel("Daily Table Style",
|
| 228 |
+
ui.input_numeric('head', 'Table Limit', min=0, value=10),
|
| 229 |
+
ui.input_numeric('pitch_min', 'Pitch Min.', min=0, value=10),
|
| 230 |
+
ui.card(
|
| 231 |
+
{"style": "width: 1560px;"},
|
| 232 |
+
ui.head_content(
|
| 233 |
+
ui.tags.script(src="https://html2canvas.hertzen.com/dist/html2canvas.min.js"),
|
| 234 |
+
ui.tags.script("""
|
| 235 |
+
async function downloadPNG() {
|
| 236 |
+
const content = document.getElementById('capture-section');
|
| 237 |
+
|
| 238 |
+
try {
|
| 239 |
+
// Create a wrapper div with right margin only
|
| 240 |
+
const wrapper = document.createElement('div');
|
| 241 |
+
wrapper.style.paddingRight = '20px';
|
| 242 |
+
wrapper.style.paddingLeft = '20px';
|
| 243 |
+
wrapper.style.paddingTop = '20px';
|
| 244 |
+
wrapper.style.backgroundColor = 'white';
|
| 245 |
+
|
| 246 |
+
// Clone the content
|
| 247 |
+
const clonedContent = content.cloneNode(true);
|
| 248 |
+
wrapper.appendChild(clonedContent);
|
| 249 |
+
|
| 250 |
+
// Add wrapper to document temporarily
|
| 251 |
+
document.body.appendChild(wrapper);
|
| 252 |
+
|
| 253 |
+
const canvas = await html2canvas(wrapper, {
|
| 254 |
+
backgroundColor: 'white',
|
| 255 |
+
scale: 2,
|
| 256 |
+
useCORS: true,
|
| 257 |
+
logging: false,
|
| 258 |
+
width: content.offsetWidth + 20,
|
| 259 |
+
height: content.offsetHeight + 50
|
| 260 |
+
});
|
| 261 |
+
|
| 262 |
+
// Remove temporary wrapper
|
| 263 |
+
document.body.removeChild(wrapper);
|
| 264 |
+
|
| 265 |
+
// Convert canvas to blob
|
| 266 |
+
canvas.toBlob(function(blob) {
|
| 267 |
+
const url = URL.createObjectURL(blob);
|
| 268 |
+
const link = document.createElement('a');
|
| 269 |
+
link.href = url;
|
| 270 |
+
link.download = 'stats_card.png';
|
| 271 |
+
document.body.appendChild(link);
|
| 272 |
+
link.click();
|
| 273 |
+
document.body.removeChild(link);
|
| 274 |
+
URL.revokeObjectURL(url);
|
| 275 |
+
}, 'image/png');
|
| 276 |
+
} catch (error) {
|
| 277 |
+
console.error('Error generating PNG:', error);
|
| 278 |
+
}
|
| 279 |
+
}
|
| 280 |
+
|
| 281 |
+
$(document).on('click', '#capture_png_btn', function() {
|
| 282 |
+
downloadPNG();
|
| 283 |
+
});
|
| 284 |
+
""")
|
| 285 |
+
),
|
| 286 |
+
ui.div(
|
| 287 |
+
{
|
| 288 |
+
"id": "capture-section",
|
| 289 |
+
"style": "background-color: white; padding: 0; margin-left: 20px; margin-right: 20px; margin-top: 20px; margin-bottom: 20px;"
|
| 290 |
+
},
|
| 291 |
+
ui.div({"style": "font-size:3em;"}, ui.output_text("style_title")),
|
| 292 |
+
ui.div({"style": "font-size:1.5em;"}, ui.output_text("min_title")),
|
| 293 |
+
ui.br(),
|
| 294 |
+
ui.output_table("grid_style"),
|
| 295 |
+
ui.br(),
|
| 296 |
+
ui.row(
|
| 297 |
+
ui.column(8,
|
| 298 |
+
ui.div(
|
| 299 |
+
{"style": "text-align: left;"},
|
| 300 |
+
ui.markdown("### By: @TJStats"),
|
| 301 |
+
ui.markdown("### Data: MLB"),
|
| 302 |
+
)
|
| 303 |
+
),
|
| 304 |
+
ui.column(4,
|
| 305 |
+
ui.div(
|
| 306 |
+
{"style": "text-align: left; height: 86px; display: flex; justify-content: flex-end;"},
|
| 307 |
+
ui.output_image("logo", height="86px")
|
| 308 |
+
)
|
| 309 |
+
)
|
| 310 |
+
),
|
| 311 |
+
ui.div({"style": "height: 20px;"})
|
| 312 |
+
),
|
| 313 |
+
ui.div(
|
| 314 |
+
{"style": "display: flex; gap: 10px;"},
|
| 315 |
+
ui.input_action_button("capture_png_btn", "Save as PNG", class_="btn-success"),
|
| 316 |
+
),
|
| 317 |
+
)
|
| 318 |
+
)
|
| 319 |
+
)
|
| 320 |
+
)
|
| 321 |
+
)
|
| 322 |
+
)
|
| 323 |
+
|
| 324 |
+
# Combined UI with conditional panel
|
| 325 |
+
app_ui = ui.page_fluid(
|
| 326 |
+
ui.tags.head(
|
| 327 |
+
ui.tags.script(src="script.js")
|
| 328 |
+
),
|
| 329 |
+
|
| 330 |
+
ui.panel_conditional(
|
| 331 |
+
"!input.authenticated",
|
| 332 |
+
login_ui
|
| 333 |
+
),
|
| 334 |
+
ui.panel_conditional(
|
| 335 |
+
"input.authenticated",
|
| 336 |
+
main_ui
|
| 337 |
+
)
|
| 338 |
+
)
|
| 339 |
+
|
| 340 |
+
|
| 341 |
+
|
| 342 |
+
def server(input, output, session):
|
| 343 |
+
|
| 344 |
+
|
| 345 |
+
@reactive.Effect
|
| 346 |
+
@reactive.event(input.login)
|
| 347 |
+
def check_password():
|
| 348 |
+
if input.password() in VALID_PASSWORDS:
|
| 349 |
+
ui.update_checkbox("authenticated", value=True)
|
| 350 |
+
ui.update_text("login_message", value="")
|
| 351 |
+
else:
|
| 352 |
+
ui.update_text("login_message", value="Invalid password!")
|
| 353 |
+
ui.update_text("password", value="")
|
| 354 |
+
|
| 355 |
+
@output
|
| 356 |
+
@render.text
|
| 357 |
+
def login_message():
|
| 358 |
+
return ""
|
| 359 |
+
|
| 360 |
+
|
| 361 |
+
@render.image
|
| 362 |
+
def logo():
|
| 363 |
+
# You'll need to provide the actual image path or URL here
|
| 364 |
+
return {"src": "tjstats_logo.jpg"}
|
| 365 |
+
@render.text
|
| 366 |
+
def style_title():
|
| 367 |
+
|
| 368 |
+
return f"Daily {level_dict[input.level_input()]} tjStuff+ Leaders - {str(input.date_input())}"
|
| 369 |
+
|
| 370 |
+
@render.text
|
| 371 |
+
def min_title():
|
| 372 |
+
|
| 373 |
+
return f"(Min. {int(input.pitch_min())} Pitches)"
|
| 374 |
+
|
| 375 |
+
@render.ui
|
| 376 |
+
@reactive.event(input.game_button,input.date_input,input.level_input, ignore_none=False)
|
| 377 |
+
def game_select_ui():
|
| 378 |
+
df = (scrape.get_schedule(year_input=[int(str(input.date_input())[:4])],
|
| 379 |
+
sport_id=[int(input.level_input())],
|
| 380 |
+
game_type=['S','R','P','E','A','I','W','F','L'])
|
| 381 |
+
.filter(pl.col('gameday_type').is_in(['P','E']))
|
| 382 |
+
.filter(pl.col('state').is_in(['I','M','N','O','F','T','U','Q','R']))
|
| 383 |
+
.with_columns(pl.col('date').cast(pl.Utf8))
|
| 384 |
+
.filter(pl.col('date') == str(input.date_input()))).with_columns(
|
| 385 |
+
(pl.col('away')+' @ '+pl.col('home')+' - '+pl.col('state')).alias('matchup')).sort('time')
|
| 386 |
+
game_dict = dict(zip(df['game_id'], df['matchup']))
|
| 387 |
+
print('GAMES')
|
| 388 |
+
print(game_dict)
|
| 389 |
+
|
| 390 |
+
return ui.input_select("game_id", "Select Game", game_dict)
|
| 391 |
+
|
| 392 |
+
|
| 393 |
+
@render.ui
|
| 394 |
+
@reactive.event(input.game_id)
|
| 395 |
+
def player_select_ui():
|
| 396 |
+
try:
|
| 397 |
+
# Get the list of pitchers for the selected level and season
|
| 398 |
+
data_list = scrape.get_data(game_list_input = [int(input.game_id())])
|
| 399 |
+
print('DATALIST')
|
| 400 |
+
print(input.game_id())
|
| 401 |
+
print(data_list)
|
| 402 |
+
df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
|
| 403 |
+
(pl.col("is_pitch") == True)&
|
| 404 |
+
(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
|
| 405 |
+
|
| 406 |
+
)))).with_columns(
|
| 407 |
+
pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
|
| 408 |
+
).with_columns(
|
| 409 |
+
(pl.col('pitcher_name')+' - '+pl.col('pitcher_team')).alias('pitcher_name'))
|
| 410 |
+
)
|
| 411 |
+
# print('DATAFRAME')
|
| 412 |
+
# print(df)
|
| 413 |
+
pitcher_dict = dict(zip(df['pitcher_id'], df['pitcher_name']))
|
| 414 |
+
print('PITCHERS')
|
| 415 |
+
print(pitcher_dict)
|
| 416 |
+
return ui.input_select("pitcher_id", "Select Pitcher", pitcher_dict)
|
| 417 |
+
except Exception as e:
|
| 418 |
+
print(e)
|
| 419 |
+
return ui.output_text('pitcher_id',"No pitchers available for this game")
|
| 420 |
+
|
| 421 |
+
@output
|
| 422 |
+
@render.text
|
| 423 |
+
def status():
|
| 424 |
+
# Only show status when generating
|
| 425 |
+
if input.generate == 0:
|
| 426 |
+
return ""
|
| 427 |
+
return ""
|
| 428 |
+
|
| 429 |
+
@output
|
| 430 |
+
@render.plot
|
| 431 |
+
@reactive.event(input.generate_plot, ignore_none=False)
|
| 432 |
+
def plot():
|
| 433 |
+
# Show progress/loading notification
|
| 434 |
+
with ui.Progress(min=0, max=1) as p:
|
| 435 |
+
p.set(message="Generating plot", detail="This may take a while...")
|
| 436 |
+
|
| 437 |
+
|
| 438 |
+
p.set(0.3, "Gathering data...")
|
| 439 |
+
|
| 440 |
+
data_list = scrape.get_data(game_list_input = [int(input.game_id())])
|
| 441 |
+
# df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
|
| 442 |
+
# (pl.col("pitcher_id") == int(input.pitcher_id()))&
|
| 443 |
+
# (pl.col("is_pitch") == True)&
|
| 444 |
+
# (pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
|
| 445 |
+
|
| 446 |
+
# )))).with_columns(
|
| 447 |
+
# pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
|
| 448 |
+
# ))
|
| 449 |
+
|
| 450 |
+
df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
|
| 451 |
+
(pl.col("pitcher_id") == int(input.pitcher_id()))&
|
| 452 |
+
(pl.col("is_pitch") == True)&
|
| 453 |
+
(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
|
| 454 |
+
|
| 455 |
+
))).with_columns(
|
| 456 |
+
pl.col("extension").fill_null(6.2)
|
| 457 |
+
)).with_columns(
|
| 458 |
+
pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
|
| 459 |
+
))
|
| 460 |
+
|
| 461 |
+
|
| 462 |
+
df = df.clone()
|
| 463 |
+
# df = df.with_columns(
|
| 464 |
+
# pl.lit(6.2).alias("extension")
|
| 465 |
+
# )
|
| 466 |
+
|
| 467 |
+
|
| 468 |
+
p.set(0.6, "Creating plot...")
|
| 469 |
+
|
| 470 |
+
|
| 471 |
+
#plt.rcParams["figure.figsize"] = [10,10]
|
| 472 |
+
fig = plt.figure(figsize=(26,26))
|
| 473 |
+
plt.rcParams.update({'figure.autolayout': True})
|
| 474 |
+
fig.set_facecolor('white')
|
| 475 |
+
sns.set_theme(style="whitegrid", palette=colour_palette)
|
| 476 |
+
print('this is the one plot')
|
| 477 |
+
|
| 478 |
+
gs = gridspec.GridSpec(6, 8,
|
| 479 |
+
height_ratios=[6,20,12,36,36,6],
|
| 480 |
+
width_ratios=[4,18,18,18,18,18,18,4])
|
| 481 |
+
|
| 482 |
+
|
| 483 |
+
gs.update(hspace=0.2, wspace=0.5)
|
| 484 |
+
|
| 485 |
+
# Define the positions of each subplot in the grid
|
| 486 |
+
ax_headshot = fig.add_subplot(gs[1,1:3])
|
| 487 |
+
ax_bio = fig.add_subplot(gs[1,3:5])
|
| 488 |
+
ax_logo = fig.add_subplot(gs[1,5:7])
|
| 489 |
+
|
| 490 |
+
ax_season_table = fig.add_subplot(gs[2,1:7])
|
| 491 |
+
|
| 492 |
+
ax_plot_1 = fig.add_subplot(gs[3,1:3])
|
| 493 |
+
ax_plot_2 = fig.add_subplot(gs[3,3:5])
|
| 494 |
+
ax_plot_3 = fig.add_subplot(gs[3,5:7])
|
| 495 |
+
|
| 496 |
+
ax_table = fig.add_subplot(gs[4,1:7])
|
| 497 |
+
|
| 498 |
+
|
| 499 |
+
ax_footer = fig.add_subplot(gs[-1,1:7])
|
| 500 |
+
ax_header = fig.add_subplot(gs[0,1:7])
|
| 501 |
+
ax_left = fig.add_subplot(gs[:,0])
|
| 502 |
+
ax_right = fig.add_subplot(gs[:,-1])
|
| 503 |
+
|
| 504 |
+
# Hide axes for footer, header, left, and right
|
| 505 |
+
ax_footer.axis('off')
|
| 506 |
+
ax_header.axis('off')
|
| 507 |
+
ax_left.axis('off')
|
| 508 |
+
ax_right.axis('off')
|
| 509 |
+
|
| 510 |
+
sns.set_theme(style="whitegrid", palette=colour_palette)
|
| 511 |
+
fig.set_facecolor('white')
|
| 512 |
+
|
| 513 |
+
df_teams = scrape.get_teams()
|
| 514 |
+
|
| 515 |
+
year_input = int(str(input.date_input())[:4])
|
| 516 |
+
sport_id = int(input.level_input())
|
| 517 |
+
player_input = int(input.pitcher_id())
|
| 518 |
+
team_id = df['pitcher_team_id'][0]
|
| 519 |
+
player_headshot(player_input=player_input, ax=ax_headshot,sport_id=sport_id,season=year_input)
|
| 520 |
+
player_bio(pitcher_id=player_input, ax=ax_bio,sport_id=sport_id,year_input=year_input)
|
| 521 |
+
# plot_logo(pitcher_id=player_input, ax=ax_logo, df_team=df_teams,df_players=scrape.get_players(sport_id,year_input))
|
| 522 |
+
|
| 523 |
+
if input.switch():
|
| 524 |
+
|
| 525 |
+
# Get the logo URL from the image dictionary using the team abbreviation
|
| 526 |
+
logo_url = input.logo_select()
|
| 527 |
+
|
| 528 |
+
# Send a GET request to the logo URL
|
| 529 |
+
response = requests.get(logo_url)
|
| 530 |
+
|
| 531 |
+
# Open the image from the response content
|
| 532 |
+
img = Image.open(BytesIO(response.content))
|
| 533 |
+
|
| 534 |
+
# Display the image on the axis
|
| 535 |
+
ax_logo.set_xlim(0, 1.3)
|
| 536 |
+
ax_logo.set_ylim(0, 1)
|
| 537 |
+
ax_logo.imshow(img, extent=[0.3, 1.3, 0, 1], origin='upper')
|
| 538 |
+
|
| 539 |
+
# Turn off the axis
|
| 540 |
+
ax_logo.axis('off')
|
| 541 |
+
|
| 542 |
+
else:
|
| 543 |
+
plot_logo(pitcher_id=player_input, ax=ax_logo, df_team=df_teams,df_players=scrape.get_players(sport_id,year_input),team_id=team_id)
|
| 544 |
+
|
| 545 |
+
|
| 546 |
+
# stat_summary_table(df=df,
|
| 547 |
+
# ax=ax_season_table,
|
| 548 |
+
# player_input=player_input,
|
| 549 |
+
# split=input.split_id(),
|
| 550 |
+
# sport_id=sport_id)
|
| 551 |
+
|
| 552 |
+
stat_daily_summary(df=df,
|
| 553 |
+
data=data_list,
|
| 554 |
+
player_input=int(input.pitcher_id()),
|
| 555 |
+
sport_id=int(input.level_input()),
|
| 556 |
+
ax=ax_season_table)
|
| 557 |
+
|
| 558 |
+
|
| 559 |
+
# break_plot(df=df_plot,ax=ax2)
|
| 560 |
+
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]):
|
| 561 |
+
if x == 'velocity_kdes':
|
| 562 |
+
velocity_kdes(df,
|
| 563 |
+
ax=y,
|
| 564 |
+
gs=gs,
|
| 565 |
+
gs_x=[3,4],
|
| 566 |
+
gs_y=[z,z+2],
|
| 567 |
+
fig=fig)
|
| 568 |
+
if x == 'tj_stuff_roling':
|
| 569 |
+
tj_stuff_roling(df=df,
|
| 570 |
+
window=int(input.rolling_window()),
|
| 571 |
+
ax=y)
|
| 572 |
+
|
| 573 |
+
if x == 'tj_stuff_roling_game':
|
| 574 |
+
tj_stuff_roling_game(df=df,
|
| 575 |
+
window=int(input.rolling_window()),
|
| 576 |
+
ax=y)
|
| 577 |
+
|
| 578 |
+
if x == 'break_plot':
|
| 579 |
+
break_plot(df = df,ax=y)
|
| 580 |
+
|
| 581 |
+
if x == 'location_plot_lhb':
|
| 582 |
+
location_plot(df = df,ax=y,hand='L')
|
| 583 |
+
|
| 584 |
+
if x == 'location_plot_rhb':
|
| 585 |
+
location_plot(df = df,ax=y,hand='R')
|
| 586 |
+
|
| 587 |
+
if x == 'break_plot_rhh':
|
| 588 |
+
break_plot(df = df.filter(pl.col('batter_hand')=='R'),ax=y)
|
| 589 |
+
|
| 590 |
+
if x == 'break_plot_lhh':
|
| 591 |
+
break_plot(df = df.filter(pl.col('batter_hand')=='L'),ax=y)
|
| 592 |
+
|
| 593 |
+
|
| 594 |
+
|
| 595 |
+
|
| 596 |
+
|
| 597 |
+
summary_table(df=df,
|
| 598 |
+
ax=ax_table)
|
| 599 |
+
|
| 600 |
+
plot_footer(ax_footer)
|
| 601 |
+
|
| 602 |
+
ax_watermark = fig.add_subplot(gs[1:-1,1:-1],zorder=-1)
|
| 603 |
+
# Hide axes ticks and labels
|
| 604 |
+
ax_watermark.set_xticks([])
|
| 605 |
+
ax_watermark.set_yticks([])
|
| 606 |
+
ax_watermark.set_frame_on(False) # Optional: Hide border
|
| 607 |
+
|
| 608 |
+
img = Image.open('tj stats circle-01_new.jpg')
|
| 609 |
+
# Display the image
|
| 610 |
+
ax_watermark.imshow(img, extent=[0, 1, 0, 1], origin='upper',zorder=-1, alpha=0.06)
|
| 611 |
+
|
| 612 |
+
|
| 613 |
+
ax_watermark2 = fig.add_subplot(gs[-2:,1:4],zorder=1)
|
| 614 |
+
ax_watermark2.set_xlim(0,1)
|
| 615 |
+
ax_watermark2.set_ylim(0,1)
|
| 616 |
+
# Hide axes ticks and labels
|
| 617 |
+
ax_watermark2.set_xticks([])
|
| 618 |
+
ax_watermark2.set_yticks([])
|
| 619 |
+
ax_watermark2.set_frame_on(False) # Optional: Hide border
|
| 620 |
+
|
| 621 |
+
# Open the image
|
| 622 |
+
img = Image.open('tj stats circle-01_new.jpg')
|
| 623 |
+
# Get the original size
|
| 624 |
+
width, height = img.size
|
| 625 |
+
# Calculate the new size (50% larger)
|
| 626 |
+
new_width = int(width * 0.5)
|
| 627 |
+
new_height = int(height * 0.5)
|
| 628 |
+
# Resize the image
|
| 629 |
+
img_resized = img.resize((new_width, new_height))
|
| 630 |
+
# Display the image
|
| 631 |
+
ax_watermark2.imshow(img, extent=[0.26, 0.46, 0.0,0.2], origin='upper',zorder=-1, alpha=1)
|
| 632 |
+
|
| 633 |
+
|
| 634 |
+
|
| 635 |
+
|
| 636 |
+
fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=0.01)
|
| 637 |
+
|
| 638 |
+
|
| 639 |
+
|
| 640 |
+
@output
|
| 641 |
+
@render.data_frame
|
| 642 |
+
@reactive.event(input.generate_plot, ignore_none=False)
|
| 643 |
+
def grid_summary():
|
| 644 |
+
|
| 645 |
+
data_list = scrape.get_data(game_list_input = [int(input.game_id())])
|
| 646 |
+
df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
|
| 647 |
+
(pl.col("pitcher_id") == int(input.pitcher_id()))&
|
| 648 |
+
(pl.col("is_pitch") == True)&
|
| 649 |
+
(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
|
| 650 |
+
|
| 651 |
+
))).with_columns(
|
| 652 |
+
pl.col("extension").fill_null(6.2)
|
| 653 |
+
)).with_columns(
|
| 654 |
+
pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
|
| 655 |
+
))
|
| 656 |
+
|
| 657 |
+
|
| 658 |
+
df = df.clone()
|
| 659 |
+
features_table = ['start_speed',
|
| 660 |
+
'spin_rate',
|
| 661 |
+
'extension',
|
| 662 |
+
'ivb',
|
| 663 |
+
'hb',
|
| 664 |
+
'x0',
|
| 665 |
+
'z0']
|
| 666 |
+
|
| 667 |
+
|
| 668 |
+
|
| 669 |
+
selection = ['game_id','pitcher_id','pitcher_name','batter_id','batter_name','pitcher_hand',
|
| 670 |
+
'batter_hand','balls','strikes','play_code','event_type','pitch_type','vaa','haa']+features_table+['tj_stuff_plus']
|
| 671 |
+
|
| 672 |
+
|
| 673 |
+
|
| 674 |
+
return render.DataGrid(
|
| 675 |
+
df.select(selection).to_pandas().round(1),
|
| 676 |
+
row_selection_mode='multiple',
|
| 677 |
+
height='700px',
|
| 678 |
+
width='fit-content',
|
| 679 |
+
filters=True,
|
| 680 |
+
)
|
| 681 |
+
|
| 682 |
+
|
| 683 |
+
@output
|
| 684 |
+
@render.data_frame
|
| 685 |
+
@reactive.event(input.generate_plot, ignore_none=False)
|
| 686 |
+
def grid():
|
| 687 |
+
|
| 688 |
+
|
| 689 |
+
df_games = (scrape.get_schedule(year_input=[int(str(input.date_input())[:4])],
|
| 690 |
+
sport_id=[int(input.level_input())],
|
| 691 |
+
game_type=['S','R','P','E','A','I','W','F','L']).with_columns(pl.col('date').cast(pl.Utf8)).
|
| 692 |
+
filter(pl.col('date') == str(input.date_input()))).with_columns(
|
| 693 |
+
(pl.col('away')+' @ '+pl.col('home')).alias('matchup'))
|
| 694 |
+
|
| 695 |
+
|
| 696 |
+
|
| 697 |
+
game_list = df_games['game_id'].unique().to_list()
|
| 698 |
+
|
| 699 |
+
# Get the list of pitchers for the selected level and season
|
| 700 |
+
data_list = scrape.get_data(game_list)
|
| 701 |
+
df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
|
| 702 |
+
(pl.col("is_pitch") == True)&
|
| 703 |
+
(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
|
| 704 |
+
|
| 705 |
+
)))).with_columns(
|
| 706 |
+
pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
|
| 707 |
+
).with_columns(
|
| 708 |
+
(pl.col('pitcher_name')+' - '+pl.col('pitcher_team')).alias('pitcher_name'))
|
| 709 |
+
)
|
| 710 |
+
|
| 711 |
+
# game_list = game_list_df['game_id'].unique().to_list()
|
| 712 |
+
data = scrape.get_data(game_list[:])
|
| 713 |
+
df = scrape.get_data_df(data)
|
| 714 |
+
|
| 715 |
+
pitcher_team_dict = dict(zip(df['pitcher_id'], df['pitcher_team']))
|
| 716 |
+
|
| 717 |
+
|
| 718 |
+
df_test = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(df).filter(
|
| 719 |
+
(pl.col("is_pitch") == True)))))
|
| 720 |
+
|
| 721 |
+
df_test = df_test.with_columns(
|
| 722 |
+
(pl.col('pitcher_name')+' - '+pl.col('pitcher_team')).alias('pitcher_name')
|
| 723 |
+
)
|
| 724 |
+
|
| 725 |
+
|
| 726 |
+
|
| 727 |
+
|
| 728 |
+
# Aggregate tj_stuff_plus by pitcher_id and year
|
| 729 |
+
df_agg_2024_pitch = df_test.group_by(['pitcher_id','pitcher_name','pitch_type']).agg(
|
| 730 |
+
pl.col('tj_stuff_plus').len().alias('count'),
|
| 731 |
+
pl.col('tj_stuff_plus').mean()
|
| 732 |
+
)
|
| 733 |
+
|
| 734 |
+
# Calculate the weighted average of 'tj_stuff_plus' for each pitcher
|
| 735 |
+
df_weighted_avg = df_agg_2024_pitch.with_columns(
|
| 736 |
+
(pl.col('tj_stuff_plus') * pl.col('count')).alias('weighted_tj_stuff_plus')
|
| 737 |
+
).group_by(['pitcher_id', 'pitcher_name']).agg(
|
| 738 |
+
pl.col('count').sum().alias('total_count'),
|
| 739 |
+
pl.col('weighted_tj_stuff_plus').sum().alias('total_weighted_tj_stuff_plus')
|
| 740 |
+
).with_columns(
|
| 741 |
+
(pl.col('total_weighted_tj_stuff_plus') / pl.col('total_count')).alias('tj_stuff_plus')
|
| 742 |
+
).select(['pitcher_id', 'pitcher_name', 'tj_stuff_plus', 'total_count'])
|
| 743 |
+
|
| 744 |
+
# Add the 'pitch_type' column with value "All"
|
| 745 |
+
df_weighted_avg = df_weighted_avg.with_columns(
|
| 746 |
+
pl.lit("All").alias('pitch_type')
|
| 747 |
+
)
|
| 748 |
+
|
| 749 |
+
# Select and rename columns to match the original DataFrame
|
| 750 |
+
df_weighted_avg = df_weighted_avg.select([
|
| 751 |
+
'pitcher_id',
|
| 752 |
+
'pitcher_name',
|
| 753 |
+
|
| 754 |
+
'pitch_type',
|
| 755 |
+
pl.col('total_count').alias('count'),
|
| 756 |
+
'tj_stuff_plus'
|
| 757 |
+
])
|
| 758 |
+
|
| 759 |
+
# Concatenate the new rows with the original DataFrame
|
| 760 |
+
df_agg_2024_pitch = pl.concat([df_agg_2024_pitch, df_weighted_avg])
|
| 761 |
+
|
| 762 |
+
|
| 763 |
+
df_small = df_agg_2024_pitch.select(['pitcher_id','pitcher_name','pitch_type','count','tj_stuff_plus'])
|
| 764 |
+
count_dict = dict(zip(df_small.filter(pl.col('pitch_type')=='All')['pitcher_id'],
|
| 765 |
+
df_small.filter(pl.col('pitch_type')=='All')['count']))
|
| 766 |
+
# Check if 'FS' column exists, if not create it and fill with None
|
| 767 |
+
|
| 768 |
+
df_small_pivot = (df_small.pivot(index=['pitcher_id','pitcher_name'],
|
| 769 |
+
columns='pitch_type',
|
| 770 |
+
values='tj_stuff_plus').with_columns(
|
| 771 |
+
pl.col("pitcher_id").replace_strict(count_dict, default=None).alias("count")))
|
| 772 |
+
|
| 773 |
+
# Check if 'FS' column exists, if not create it and fill with None
|
| 774 |
+
for col in ['CH', 'CU', 'FC', 'FF', 'FS', 'SI', 'SL', 'ST', 'All']:
|
| 775 |
+
if col not in df_small_pivot.columns:
|
| 776 |
+
df_small_pivot = df_small_pivot.with_columns(pl.lit(None).alias(col))
|
| 777 |
+
|
| 778 |
+
|
| 779 |
+
df_small_pivot = df_small_pivot.with_columns(
|
| 780 |
+
pl.col("pitcher_id").replace_strict(pitcher_team_dict, default=None).alias("pitcher_team"))
|
| 781 |
+
|
| 782 |
+
df_small_pivot = df_small_pivot.select(['pitcher_id','pitcher_name','pitcher_team','count','CH','CU','FC','FF','FS','SI','SL','ST','All']).sort('All',descending=True)#.head(10)#.write_clipboard()
|
| 783 |
+
|
| 784 |
+
df_small_pivot = df_small_pivot.with_columns(
|
| 785 |
+
pl.col(col).cast(pl.Int32, strict=False) for col in ['CH', 'CU', 'FC', 'FF', 'FS', 'SI', 'SL', 'ST', 'All']
|
| 786 |
+
)
|
| 787 |
+
|
| 788 |
+
|
| 789 |
+
return render.DataGrid(
|
| 790 |
+
df_small_pivot,
|
| 791 |
+
row_selection_mode='multiple',
|
| 792 |
+
height='700px',
|
| 793 |
+
width='fit-content',
|
| 794 |
+
filters=True,
|
| 795 |
+
)
|
| 796 |
+
|
| 797 |
+
|
| 798 |
+
@output
|
| 799 |
+
@render.table
|
| 800 |
+
@reactive.event(input.generate_plot, input.pitch_min,input.head,ignore_none=False)
|
| 801 |
+
def grid_style():
|
| 802 |
+
|
| 803 |
+
row_limit = int(input.head())
|
| 804 |
+
pitch_limit = int(input.pitch_min())
|
| 805 |
+
df_games = (scrape.get_schedule(year_input=[int(str(input.date_input())[:4])],
|
| 806 |
+
sport_id=[int(input.level_input())],
|
| 807 |
+
game_type=['S','R','P','E','A','I','W','F','L']).with_columns(pl.col('date').cast(pl.Utf8)).
|
| 808 |
+
filter(pl.col('date') == str(input.date_input()))).with_columns(
|
| 809 |
+
(pl.col('away')+' @ '+pl.col('home')).alias('matchup'))
|
| 810 |
+
|
| 811 |
+
|
| 812 |
+
|
| 813 |
+
game_list = df_games['game_id'].unique().to_list()
|
| 814 |
+
|
| 815 |
+
# Get the list of pitchers for the selected level and season
|
| 816 |
+
data_list = scrape.get_data(game_list)
|
| 817 |
+
df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
|
| 818 |
+
(pl.col("is_pitch") == True)&
|
| 819 |
+
(pl.col('batter_hand').is_in(split_dict_hand[input.split_id()]))
|
| 820 |
+
|
| 821 |
+
)))).with_columns(
|
| 822 |
+
pl.col('pitch_type').count().over('pitch_type').alias('pitch_count')
|
| 823 |
+
).with_columns(
|
| 824 |
+
(pl.col('pitcher_name')+' - '+pl.col('pitcher_team')).alias('pitcher_name'))
|
| 825 |
+
)
|
| 826 |
+
|
| 827 |
+
# game_list = game_list_df['game_id'].unique().to_list()
|
| 828 |
+
data = scrape.get_data(game_list[:])
|
| 829 |
+
df = scrape.get_data_df(data)
|
| 830 |
+
|
| 831 |
+
pitcher_team_dict = dict(zip(df['pitcher_id'], df['pitcher_team']))
|
| 832 |
+
|
| 833 |
+
|
| 834 |
+
df_test = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(df).filter(
|
| 835 |
+
(pl.col("is_pitch") == True)))))
|
| 836 |
+
|
| 837 |
+
# df_test = df_test.with_columns(
|
| 838 |
+
# (pl.col('pitcher_name')+' - '+pl.col('pitcher_team')).alias('pitcher_name')
|
| 839 |
+
# )
|
| 840 |
+
|
| 841 |
+
|
| 842 |
+
|
| 843 |
+
|
| 844 |
+
# Aggregate tj_stuff_plus by pitcher_id and year
|
| 845 |
+
df_agg_2024_pitch = df_test.group_by(['pitcher_id','pitcher_name','pitch_type']).agg(
|
| 846 |
+
pl.col('tj_stuff_plus').len().alias('count'),
|
| 847 |
+
pl.col('tj_stuff_plus').mean()
|
| 848 |
+
)
|
| 849 |
+
|
| 850 |
+
# Calculate the weighted average of 'tj_stuff_plus' for each pitcher
|
| 851 |
+
df_weighted_avg = df_agg_2024_pitch.with_columns(
|
| 852 |
+
(pl.col('tj_stuff_plus') * pl.col('count')).alias('weighted_tj_stuff_plus')
|
| 853 |
+
).group_by(['pitcher_id', 'pitcher_name']).agg(
|
| 854 |
+
pl.col('count').sum().alias('total_count'),
|
| 855 |
+
pl.col('weighted_tj_stuff_plus').sum().alias('total_weighted_tj_stuff_plus')
|
| 856 |
+
).with_columns(
|
| 857 |
+
(pl.col('total_weighted_tj_stuff_plus') / pl.col('total_count')).alias('tj_stuff_plus')
|
| 858 |
+
).select(['pitcher_id', 'pitcher_name', 'tj_stuff_plus', 'total_count'])
|
| 859 |
+
|
| 860 |
+
# Add the 'pitch_type' column with value "All"
|
| 861 |
+
df_weighted_avg = df_weighted_avg.with_columns(
|
| 862 |
+
pl.lit("All").alias('pitch_type')
|
| 863 |
+
)
|
| 864 |
+
|
| 865 |
+
# Select and rename columns to match the original DataFrame
|
| 866 |
+
df_weighted_avg = df_weighted_avg.select([
|
| 867 |
+
'pitcher_id',
|
| 868 |
+
'pitcher_name',
|
| 869 |
+
|
| 870 |
+
'pitch_type',
|
| 871 |
+
pl.col('total_count').alias('count'),
|
| 872 |
+
'tj_stuff_plus'
|
| 873 |
+
])
|
| 874 |
+
|
| 875 |
+
# Concatenate the new rows with the original DataFrame
|
| 876 |
+
df_agg_2024_pitch = pl.concat([df_agg_2024_pitch, df_weighted_avg])
|
| 877 |
+
|
| 878 |
+
|
| 879 |
+
df_small = df_agg_2024_pitch.select(['pitcher_id','pitcher_name','pitch_type','count','tj_stuff_plus'])
|
| 880 |
+
count_dict = dict(zip(df_small.filter(pl.col('pitch_type')=='All')['pitcher_id'],
|
| 881 |
+
df_small.filter(pl.col('pitch_type')=='All')['count']))
|
| 882 |
+
# Check if 'FS' column exists, if not create it and fill with None
|
| 883 |
+
|
| 884 |
+
df_small_pivot = (df_small.pivot(index=['pitcher_id','pitcher_name'],
|
| 885 |
+
columns='pitch_type',
|
| 886 |
+
values='tj_stuff_plus').with_columns(
|
| 887 |
+
pl.col("pitcher_id").replace_strict(count_dict, default=None).alias("count")))
|
| 888 |
+
|
| 889 |
+
# Check if 'FS' column exists, if not create it and fill with None
|
| 890 |
+
for col in ['CH', 'CU', 'FC', 'FF', 'FS', 'SI', 'SL', 'ST', 'All']:
|
| 891 |
+
if col not in df_small_pivot.columns:
|
| 892 |
+
df_small_pivot = df_small_pivot.with_columns(pl.lit(None).alias(col))
|
| 893 |
+
|
| 894 |
+
|
| 895 |
+
df_small_pivot = df_small_pivot.with_columns(
|
| 896 |
+
pl.col("pitcher_id").replace_strict(pitcher_team_dict, default=None).alias("pitcher_team"))
|
| 897 |
+
|
| 898 |
+
df_small_pivot = df_small_pivot.select(['pitcher_name','pitcher_team','count','CH','CU','FC','FF','FS','SI','SL','ST','All']).sort('All',descending=True)#.head(10)#.write_clipboard()
|
| 899 |
+
|
| 900 |
+
df_small_pivot = df_small_pivot.with_columns(
|
| 901 |
+
pl.col(col).cast(pl.Int32, strict=False) for col in ['CH', 'CU', 'FC', 'FF', 'FS', 'SI', 'SL', 'ST', 'All']
|
| 902 |
+
)
|
| 903 |
+
|
| 904 |
+
df_export = df_small_pivot.filter(pl.col('count')>=pitch_limit).to_pandas().head(row_limit)
|
| 905 |
+
df_export.columns = ['Name', 'Team', 'Pitches', 'CH', 'CU', 'FC',
|
| 906 |
+
'FF', 'FS', 'SI', 'SL', 'ST', 'All']
|
| 907 |
+
df_style = df_export.style
|
| 908 |
+
|
| 909 |
+
df_style = df_style.set_properties(**{'border': '1.0 px'},overwrite=False).set_table_styles([{'selector' :'th',
|
| 910 |
+
'props':[('text-align', 'center'),('font-size', '22px'),('Height','30px'),('border', '1px black solid !important')]},
|
| 911 |
+
{'selector' :'td', 'props':[('text-align', 'center'),('font-size', '22px')]}],overwrite=False).set_table_styles(
|
| 912 |
+
[{'selector': 'tr', 'props': [('line-height', '1px')]}],overwrite=False).set_properties(
|
| 913 |
+
**{'Height': '60px'},**{'text-align': 'center'},overwrite=False).hide_index()
|
| 914 |
+
|
| 915 |
+
|
| 916 |
+
|
| 917 |
+
|
| 918 |
+
#cmap_sum_2 = matplotlib.colors.LinearSegmentedColormap.from_list("", ["#FFFFFF","#F0E442"])
|
| 919 |
+
|
| 920 |
+
df_style = df_style.format('{:.0f}',subset=df_export.columns[3:], na_rep='')
|
| 921 |
+
|
| 922 |
+
|
| 923 |
+
# df_style
|
| 924 |
+
df_style = df_style.background_gradient(cmap=cmap_sum,subset = ((list(df_export.index[:]),df_export.columns[3:])),vmin=80,vmax=120)#.applymap(lambda x: 'color: white' if pd.isnull(x) else '')
|
| 925 |
+
|
| 926 |
+
#df_style = df_style.applymap(background_gradient_ignore_nan)
|
| 927 |
+
#df_style = df_style
|
| 928 |
+
df_style = df_style.applymap(lambda x: 'color: transparent; background-color: transparent' if pd.isnull(x) else '')
|
| 929 |
+
|
| 930 |
+
|
| 931 |
+
|
| 932 |
+
df_style = df_style.set_properties(
|
| 933 |
+
**{'border': '1px black solid !important'},subset = ((list(df_style.index[:-1]),df_style.columns[:]))).set_properties(
|
| 934 |
+
**{'min-width':'325px'},subset = ((list(df_style.index[:-1]),df_style.columns[0])),overwrite=False).set_properties(
|
| 935 |
+
**{'min-width':'100px'},subset = ((list(df_style.index[:-1]),df_style.columns[1:3])),overwrite=False).set_properties(
|
| 936 |
+
**{'min-width':'100px'},subset = ((list(df_style.index[:-1]),df_style.columns[3:])),overwrite=False).set_properties(
|
| 937 |
+
# **{'min-width':'125px'},subset = ((list(df_style.index[:-1]),df_style.columns[-1])),overwrite=False).set_properties(
|
| 938 |
+
**{'border': '1px black solid !important'},subset = ((list(df_style.index[:]),df_style.columns[:])))
|
| 939 |
+
|
| 940 |
+
# df_style = df_style.set_table_styles([{'selector' :'th',
|
| 941 |
+
# 'props':[('text-align', 'center'),('font-size', '22px'),('Height','30px'),('border', '1px black solid !important')]},
|
| 942 |
+
# {'selector' :'td', 'props':[('text-align', 'center'),('font-size', '22px')]}], overwrite=False)
|
| 943 |
+
|
| 944 |
+
return df_style
|
| 945 |
+
|
| 946 |
+
|
| 947 |
+
|
| 948 |
+
|
| 949 |
app = App(app_ui, server)
|