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peekorobo.py
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import dash
import dash_bootstrap_components as dbc
from dash import html, dcc, dash_table
from dash.dependencies import Input, Output, State
import plotly.express as px
import requests
import urllib.parse
import os
from dotenv import load_dotenv
import json
from frcgames import frc_games
def configure():
load_dotenv()
TBA_BASE_URL = "https://www.thebluealliance.com/api/v3"
def tba_get(endpoint: str):
headers = {"X-TBA-Auth-Key": os.getenv("TBA_API_KEY")}
url = f"{TBA_BASE_URL}/{endpoint}"
r = requests.get(url, headers=headers)
if r.status_code == 200:
return r.json()
return None
app = dash.Dash(
__name__,
meta_tags=[
{'name': 'viewport', 'content': 'width=device-width,initial-scale=1.0,'}
],
external_stylesheets=[dbc.themes.BOOTSTRAP],
suppress_callback_exceptions=True,
title="Peekorobo",
)
server = app.server
# -------------- LAYOUTS --------------
topbar = dbc.Navbar(
dbc.Container(
[
# Left: Logo
dbc.NavbarBrand(
html.Img(
src="/assets/logo.png",
style={
"height": "40px",
"width": "auto",
"marginRight": "10px",
},
),
href="/",
className="navbar-brand-custom",
),
# Toggler for Mobile
dbc.NavbarToggler(id="navbar-toggler", n_clicks=0),
# Collapsible Section
dbc.Collapse(
dbc.Nav(
[
dbc.NavItem(dbc.NavLink("Teams", href="/teams", className="custom-navlink")),
dbc.NavItem(dbc.NavLink("Events", href="/events", className="custom-navlink")),
dbc.NavItem(dbc.NavLink("Leaderboard", href="/leaderboard", className="custom-navlink")),
dbc.NavItem(dbc.NavLink("Challenges", href="/challenges", className="custom-navlink")),
# Resources Dropdown
dbc.DropdownMenu(
label="Resources",
nav=True,
in_navbar=True,
children=[
dbc.DropdownMenuItem("Communication", header=True),
dbc.DropdownMenuItem("Chief Delphi", href="https://www.chiefdelphi.com/", target="_blank"),
dbc.DropdownMenuItem("The Blue Alliance", href="https://www.thebluealliance.com/", target="_blank"),
dbc.DropdownMenuItem("FRC Subreddit", href="https://www.reddit.com/r/FRC/", target="_blank"),
dbc.DropdownMenuItem("FRC Discord", href="https://discord.com/invite/frc", target="_blank"),
dbc.DropdownMenuItem(divider=True),
dbc.DropdownMenuItem("Technical Resources", header=True),
dbc.DropdownMenuItem("FIRST Technical Resources", href="https://www.firstinspires.org/resource-library/frc/technical-resources", target="_blank"),
dbc.DropdownMenuItem("FRCDesign", href="https://www.frcdesign.org/learning-course/", target="_blank"),
dbc.DropdownMenuItem("OnShape4FRC", href="https://onshape4frc.com/", target="_blank"),
dbc.DropdownMenuItem(divider=True),
dbc.DropdownMenuItem("Scouting/Statistics", header=True),
dbc.DropdownMenuItem("Statbotics", href="https://www.statbotics.io/", target="_blank"),
dbc.DropdownMenuItem("ScoutRadioz", href="https://scoutradioz.com/", target="_blank"),
dbc.DropdownMenuItem("Peekorobo", href="https://peekorobo-6ec491b9fec0.herokuapp.com/", target="_blank"),
],
),
# Mobile Search Bar (inside collapsible menu)
dbc.InputGroup(
[
dbc.Input(
id="mobile-search-input",
placeholder="Team # (e.g., 1912)",
type="text",
),
dbc.Button(
"Search",
id="mobile-search-button",
color="primary",
style={
"backgroundColor": "#FFDD00",
"border": "none",
"color": "black",
},
),
],
className="mt-3",
),
],
navbar=True,
),
id="navbar-collapse",
is_open=False,
navbar=True,
),
dbc.Row(
[
dbc.Col(
[
dbc.InputGroup(
[
dbc.Input(
id="desktop-search-input",
placeholder="Team # (e.g., 1912)",
type="text",
),
dbc.Button(
"Search",
id="desktop-search-button",
color="primary",
style={
"backgroundColor": "#FFDD00",
"border": "none",
"color": "black",
},
),
]
),
html.Div(
id="search-preview",
style={
"backgroundColor": "white", # Solid white background
"border": "1px solid #ddd", # Light gray border
"borderRadius": "8px", # Rounded corners
"boxShadow": "0px 4px 8px rgba(0, 0, 0, 0.1)", # Subtle shadow for a floating effect
"marginTop": "5px",
"padding": "5px",
"maxHeight": "200px",
"overflowY": "auto",
"overflowX": "hidden",
"width": "100%", # Matches width to input box
"zIndex": "1050", # Ensures it's above other elements
"position": "absolute",
"left": "0", # Aligns with input
"top": "100%", # Positions below input
"display": "none", # Hidden by default
},
)
],
width="auto",
className="desktop-search",
style={"position": "relative"}, # Needed for the preview dropdown
),
],
align="center",
),
],
fluid=True,
),
color="#353535",
dark=True,
className="mb-4",
style={
"padding": "5px 0px",
"position": "sticky",
"top": "0",
"zIndex": "1020",
"boxShadow": "0px 2px 2px rgba(0,0,0,0.1)",
},
)
@app.callback(
Output("navbar-collapse", "is_open"),
[Input("navbar-toggler", "n_clicks")],
[State("navbar-collapse", "is_open")],
)
def toggle_navbar(n_clicks, is_open):
if n_clicks:
return not is_open
return is_open
@app.callback(
[Output("search-preview", "children"), Output("search-preview", "style")],
Input("desktop-search-input", "value"),
)
def update_search_preview(input_value):
if not input_value:
# Hide dropdown when input is empty
return [], {"display": "none"}
# Load team data from the 2024 JSON file
folder_path = "team_data" # Replace with the path where your JSON files are stored
file_path = os.path.join(folder_path, "teams_2024.json")
if not os.path.exists(file_path):
return [html.Div("Data not found.", style={"color": "#555"})], {"display": "none"}
with open(file_path, "r") as f:
teams_data = json.load(f)
# Filter teams based on input and limit to top 10 results
filtered_teams = [
team for team in teams_data if str(input_value).lower() in str(team.get("team_number", "")).lower()
][:20]
closest_team = None
if input_value.isdigit():
input_number = int(input_value)
closest_team = min(
filtered_teams,
key=lambda team: abs(input_number - int(team["team_number"])),
default=None,
)
# Generate dropdown content
children = []
for team in filtered_teams:
team_number = team.get("team_number", "Unknown")
team_nickname = team.get("nickname", "Unknown")
background_color = "white" # Default background color
if closest_team and team_number == closest_team["team_number"]:
background_color = "#FFDD00"
children.append(
dbc.Row(
[
dbc.Col(
html.A(
f"{team_number} | {team_nickname}",
href=f"/data?team={team_number}",
style={
"lineHeight": "20px",
"textDecoration": "none",
"color": "black",
"cursor": "pointer",
},
),
width=True,
),
],
style={"padding": "5px",
"backgroundColor": background_color,
},
key=f"team-{team_number}",
)
)
# Show dropdown with results
return children, {
"display": "block",
"backgroundColor": "white",
"border": "1px solid #ddd",
"borderRadius": "8px",
"boxShadow": "0px 4px 8px rgba(0, 0, 0, 0.1)",
"marginTop": "5px",
"marginLeft": "10px",
"padding": "5px",
"maxHeight": "200px",
"overflowY": "auto",
"overflowX": "hidden",
"width": "93%",
"zIndex": "1050",
"position": "absolute",
"left": "0",
"top": "100%",
}
footer = dbc.Container(
dbc.Row([
dbc.Col([
html.P(
[
"Built With: ",
html.A("The Blue Alliance ", href="https://www.thebluealliance.com/", target="_blank", style={"color": "#3366CC", "textDecoration": "line"}),
" | ",
html.A(" GitHub", href="https://github.com/rhettadam/peekorobo", target="_blank", style={"color": "#3366CC", "textDecoration": "line"})
],
style={
"textAlign": "center",
"color": "#353535",
"fontSize": "12px",
"margin": "2px"
}
),
])
]),
fluid=True,
style={
"backgroundColor": "white",
"padding": "10px 0px",
"boxShadow": "0px -1px 2px rgba(0, 0, 0, 0.1)",
}
)
home_layout = html.Div([
topbar,
dbc.Container(fluid=True, children=[
dbc.Row(
[
# Left Section: Logo, Text, Search
dbc.Col(
[
html.Div(
[
html.Img(
src="/assets/logo.png",
className='homelogo',
style={
"width": "400px",
"marginBottom": "15px",
},
),
html.P(
"Search for any FRC Team",
style={
"fontSize": "1.5rem",
"color": "#555",
"textAlign": "center",
"marginBottom": "20px"
},
),
dbc.Row(
[
dbc.Col(
dbc.Input(
id="input-team-home",
type="text",
placeholder="Team # (e.g., 1912)",
className="custom-input-box",
style={"width": "100%", "marginBottom": ".4rem"}
),
width=12
),
dbc.Col(
dbc.Input(
id="input-year-home",
type="text",
placeholder="Year (e.g., 2024) optional",
className="custom-input-box",
style={"width": "100%"}
),
width=12
),
],
justify="center",
style={"marginBottom": "1rem"}
),
dbc.Button(
"Search",
id="btn-search-home",
color="primary",
size="lg",
style={
"backgroundColor": "#ffdd00ff",
"border": "2px solid #555",
"color": "black",
"marginTop": "10px",
"width": "50%",
},
),
],
className="logo-search-container",
style={
"textAlign": "center",
"display": "flex",
"flexDirection": "column",
"alignItems": "center"
}
)
],
width=6,
className="desktop-left-section"
),
# Right Section: Bulldozer GIF
dbc.Col(
[
html.Div(
[
html.A(
html.Img(
src="/assets/dozer.gif",
style={
"width": "100%",
"maxWidth": "600px",
"display": "block",
"margin": "auto"
},
className="dozer-image"
),
href="https://github.com/rhettadam/peekorobo",
target="_blank",
),
],
style={"textAlign": "center"}
)
],
width=6,
className="desktop-right-section"
)
],
justify="center",
align="center",
style={"height": "78vh"}
),
], class_name="py-5", style={"backgroundColor": "white"}),
dbc.Button("Invisible4", id="teams-view-map", style={"display": "none"}),
dbc.Button("Invisible5", id="teams-map", style={"display": "none"}),
footer
])
def calculate_ranks(team_data, selected_team):
global_rank = 1
country_rank = 1
state_rank = 1
# Extract selected team's information
selected_epa = selected_team.get("epa", 0) or 0 # Ensure selected_epa is a number
selected_country = (selected_team.get("country") or "").lower()
selected_state = (selected_team.get("state_prov") or "").lower()
for team in team_data:
if team.get("team_number") == selected_team.get("team_number"):
continue
team_epa = team.get("epa", 0) or 0 # Default to 0 if EPA is None
team_country = (team.get("country") or "").lower()
team_state = (team.get("state_prov") or "").lower()
# Global Rank
if team_epa > selected_epa:
global_rank += 1
# Country Rank
if team_country == selected_country and team_epa > selected_epa:
country_rank += 1
# State Rank
if team_state == selected_state and team_epa > selected_epa:
state_rank += 1
return global_rank, country_rank, state_rank
def team_layout(team_number, year):
if not team_number:
return dbc.Alert("No team number provided. Please go back and search again.", color="warning")
team_key = f"frc{team_number}"
folder_path = "team_data" # Replace with the correct folder path
file_path = os.path.join(folder_path, f"teams_{year or 2024}.json")
if not os.path.exists(file_path):
return dbc.Alert(f"Data for year {year or 2024} not found.", color="danger")
with open(file_path, "r") as f:
team_data = json.load(f)
# Find the selected team
selected_team = next((team for team in team_data if team["team_number"] == int(team_number)), None)
if not selected_team:
return dbc.Alert(f"Team {team_number} not found in the data.", color="danger")
# Calculate Rankings
global_rank, country_rank, state_rank = calculate_ranks(team_data, selected_team)
# Fetch Basic Team Info
team_info = tba_get(f"team/{team_key}")
if not team_info:
return dbc.Alert(
f"Error: Could not fetch info for team {team_number}. "
"Double-check your input or TBA key.",
color="danger"
)
epa_value = selected_team.get("epa", None)
epa_display = f"{epa_value:.2f}" if epa_value is not None else "N/A"
nickname = selected_team.get("nickname", "Unknown")
city = selected_team.get("city", "")
state = selected_team.get("state_prov", "")
country = selected_team.get("country", "")
website = team_info.get("website", "N/A")
avatar_data = tba_get(f"team/{team_key}/media/2024")
avatar_url = None
if avatar_data:
for media in avatar_data:
if media.get("type") == "avatar" and media.get("details", {}).get("base64Image"):
avatar_url = f"data:image/png;base64,{media['details']['base64Image']}"
break
elif media.get("preferred") and media.get("direct_url"):
avatar_url = media["direct_url"]
break
years_participated = tba_get(f"team/{team_key}/years_participated")
years_links = [
html.A(
str(year),
href=f"/data?team={team_number}&year={year}",
style={
"marginRight": "0px",
"color": "#007BFF",
"textDecoration": "none",
},
)
for year in years_participated
] if years_participated else ["N/A"]
rookie_year = years_participated[0]
# Team Info Card
team_card = dbc.Card(
dbc.CardBody(
[
dbc.Row(
[
# Left Column: Team Info
dbc.Col(
[
html.H2(f"Team {team_number}: {nickname}", style={"color": "#333", "fontWeight": "bold"}),
html.P([html.I(className="bi bi-geo-alt-fill"), f" Location: {city}, {state}, {country}"]),
html.P([html.I(className="bi bi-link-45deg"), " Website: ",
html.A(website, href=website, target="_blank", style={"color": "#007BFF", "textDecoration": "none"})]),
html.P([html.I(className="bi bi-award"), f" Rookie Year: {rookie_year}"]),
html.Div(
[
html.I(className="bi bi-calendar"),
" Years Participated: ",
html.Div(
years_links,
style={
"display": "flex",
"flexWrap": "wrap",
"gap": "8px",
},
),
],
style={"marginBottom": "10px"},
),
],
width=9,
),
# Right Column: Avatar
dbc.Col(
[
html.Img(
src=avatar_url,
alt=f"Team {team_number} Avatar",
style={
"width": "150px",
"height": "150px",
"objectFit": "contain",
"borderRadius": "10px",
"boxShadow": "0px 4px 8px rgba(0, 0, 0, 0.1)",
"marginLeft": "auto",
"marginRight": "auto",
"display": "block",
},
) if avatar_url else html.Div("No avatar available.", style={"color": "#777"}),
],
width=3,
style={"textAlign": "center"},
),
],
align="center",
),
],
style={"fontSize": "1.1rem"}
),
style={
"marginBottom": "20px",
"borderRadius": "10px",
"boxShadow": "0px 4px 8px rgba(0,0,0,0.1)",
"backgroundColor": "#f9f9f9",
},
)
# --- Performance Metrics ---
if year:
matches = tba_get(f"team/{team_key}/matches/{year}")
else:
matches = tba_get(f"team/{team_key}/matches/2024")
total_matches = len(matches) if matches else 0
wins = sum(
1
for match in matches
if match["winning_alliance"] == "red" and team_key in match["alliances"]["red"]["team_keys"]
or match["winning_alliance"] == "blue" and team_key in match["alliances"]["blue"]["team_keys"]
) if matches else 0
losses = total_matches - wins
win_loss_ratio = f"{wins}/{losses}" if total_matches > 0 else "N/A"
total_score = sum(
match["alliances"]["red"]["score"] if team_key in match["alliances"]["red"]["team_keys"]
else match["alliances"]["blue"]["score"]
for match in matches
) if matches else 0
avg_score = total_score / total_matches if total_matches > 0 else 0
win_loss_ratio = html.Span([
html.Span(f"{wins}", style={"color": "green", "fontWeight": "bold"}),
html.Span("/", style={"color": "#333", "fontWeight": "bold"}),
html.Span(f"{losses}", style={"color": "red", "fontWeight": "bold"})
])
if year:
perf = html.H5(
f"{year} Performance Metrics",
style={
"textAlign": "center",
"color": "#444",
"fontSize": "1.3rem",
"fontWeight": "bold",
"marginBottom": "10px",
},
)
else:
perf = html.H5(
"2024 Performance Metrics",
style={
"textAlign": "center",
"color": "#444",
"fontSize": "1.3rem",
"fontWeight": "bold",
"marginBottom": "10px",
},
)
performance_card = dbc.Card(
dbc.CardBody(
[
# Title
perf,
# Ranks and EPA
html.Div(
dbc.Row(
[
dbc.Col(
html.Div(
[
html.P(f"{country} Rank", style={"color": "#666", "marginBottom": "2px", "fontSize": "1.0rem"}),
html.P(
f"{country_rank}",
style={
"fontSize": "1.1rem",
"fontWeight": "bold",
"color": "#FFC107",
},
),
],
style={"textAlign": "center"},
),
width=4,
),
dbc.Col(
html.Div(
[
html.P("Global Rank", style={"color": "#666", "marginBottom": "2px", "fontSize": "1.0rem"}),
html.P(
f"{global_rank}",
style={
"fontSize": "1.1rem",
"fontWeight": "bold",
"color": "#007BFF",
},
),
],
style={"textAlign": "center"},
),
width=4,
),
dbc.Col(
html.Div(
[
html.P(f"{state} Rank", style={"color": "#666", "marginBottom": "2px", "fontSize": "1.1rem"}),
html.P(
f"{state_rank}",
style={
"fontSize": "1.1rem",
"fontWeight": "bold",
"color": "#FFC107",
},
),
],
style={"textAlign": "center"},
),
width=4,
),
],
style={"marginBottom": "10px"},
),
),
# Match Performance
html.Div(
dbc.Row(
[
dbc.Col(
html.Div(
[
html.P("EPA", style={"color": "#666", "marginBottom": "2px", "fontSize": "1.0rem"}),
html.P(
epa_display,
style={
"fontSize": "1.1rem",
"fontWeight": "bold",
"color": "#17A2B8",
},
),
],
style={"textAlign": "center"},
),
width=4,
),
dbc.Col(
html.Div(
[
html.P("Win/Loss Ratio", style={"color": "#666", "marginBottom": "2px", "fontSize": "1.0rem"}),
html.P(
win_loss_ratio,
style={
"fontSize": "1.1rem",
"fontWeight": "bold",
},
),
],
style={"textAlign": "center"},
),
width=4,
),
dbc.Col(
html.Div(
[
html.P("Avg Match Score", style={"color": "#666", "marginBottom": "2px", "fontSize": "1.0rem"}),
html.P(
f"{avg_score:.2f}",
style={
"fontSize": "1.1rem",
"fontWeight": "bold",
"color": "#17A2B8",
},
),
],
style={"textAlign": "center"},
),
width=4,
),
],
),
),
],
),
style={
"marginBottom": "15px",
"borderRadius": "8px",
"boxShadow": "0px 2px 4px rgba(0,0,0,0.1)",
"backgroundColor": "#f9f9f9",
"padding": "10px",
},
)
# --- Team Events ---
if year:
events = tba_get(f"team/{team_key}/events/{year}")
else:
events = tba_get(f"team/{team_key}/events")
events = sorted(events, key=lambda ev: ev.get("start_date", ""), reverse=True)
event_key_to_name = {ev["key"]: ev["name"] for ev in events}
events_data = []
for ev in events:
event_key = ev.get("key")
event_name = ev.get("name", "")
event_url = f"https://www.thebluealliance.com/event/{event_key}"
location = f"{ev.get('city', '')}, {ev.get('state_prov', '')}"
start_date = ev.get("start_date", "")
end_date = ev.get("end_date", "")
event_name_with_rank = event_name
if year:
rankings = tba_get(f"event/{event_key}/rankings")
rank = None
if rankings and "rankings" in rankings:
for entry in rankings["rankings"]:
if entry["team_key"] == team_key:
rank = entry["rank"]
avg_rank = sum(r["rank"] for r in rankings["rankings"]) / len(rankings["rankings"])
if rank:
event_name = f"{event_name} (Rank: {rank})"
events_data.append({
"event_name": f"[{event_name}]({event_url})",
"event_location": location,
"start_date": start_date,
"end_date": end_date,
})
# DataTable for Events
events_table = dash_table.DataTable(
columns=[
{"name": "Event Name", "id": "event_name", "presentation": "markdown"},
{"name": "Location", "id": "event_location"},
{"name": "Start Date", "id": "start_date"},
{"name": "End Date", "id": "end_date"},
],
data=events_data,
page_size=5,
style_table={"overflowX": "auto",
"borderRadius": "10px",
"border": "1px solid #ddd"},
style_header={
"backgroundColor": "#FFCC00",
"fontWeight": "bold",
"textAlign": "center",
"border": "1px solid #ddd",
},
style_cell={
"textAlign": "center",
"padding": "10px",
"border": "1px solid #ddd",
},
style_cell_conditional=[
{"if": {"column_id": "event_name"}, "textAlign": "center"}
],
style_data_conditional=[
{
"if": {"state": "selected"},
"backgroundColor": "rgba(255, 221, 0, 0.5)",
"border": "1px solid #FFCC00",
},
],
)
# --- Team Awards ---
if year:
awards = tba_get(f"team/{team_key}/awards/{year}")
else:
awards = sorted(
tba_get(f"team/{team_key}/awards") or [],
key=lambda aw: aw.get("year", 0),
reverse=True
)
awards_data = [
{
"award_name": aw.get("name", "Unknown Award"),
"event_name": event_key_to_name.get(aw.get("event_key"), "Unknown Event"),
"award_year": aw.get("year", "N/A"),
}
for aw in (awards or [])
]
awards_table = dash_table.DataTable(
columns=[
{"name": "Award Name", "id": "award_name"},
{"name": "Event Name", "id": "event_name"},
{"name": "Year", "id": "award_year"},
],
data=awards_data,
page_size=5,
style_table={"overflowX": "auto",
"borderRadius": "10px",
"border": "1px solid #ddd"},
style_header={
"backgroundColor": "#FFCC00",
"fontWeight": "bold",
"textAlign": "center",
"border": "1px solid #ddd",
},
style_cell={
"textAlign": "center",
"padding": "10px",
"border": "1px solid #ddd",
},
style_cell_conditional=[
{"if": {"column_id": "award_name"}, "textAlign": "left"}
],
style_data_conditional=[
{
"if": {"state": "selected"},
"backgroundColor": "rgba(255, 221, 0, 0.5)",
"border": "1px solid #FFCC00",
},
],
)
# Final Layout
return html.Div(
[
topbar,
dbc.Container(
[
team_card,
performance_card,
html.H3("Team Events", style={"marginTop": "2rem", "color": "#333", "fontWeight": "bold"}),
events_table,
html.H3("Team Awards", style={"marginTop": "2rem", "color": "#333", "fontWeight": "bold"}),
awards_table,
html.Br(),
dbc.Button(
"Go Back",
id="btn-go-back",
color="secondary",
href="/",
external_link=True,
style={"borderRadius": "5px", "padding": "10px 20px", "marginTop": "20px"},
),
],
style={"padding": "20px", "maxWidth": "1200px", "margin": "0 auto"}),
dbc.Button("Invisible", id="btn-search-home", style={"display": "none"}),
dbc.Button("Invisible2", id="input-team-home", style={"display": "none"}),
dbc.Button("Invisible3", id="input-year-home", style={"display": "none"}),
dbc.Button("Invisible4", id="teams-view-map", style={"display": "none"}),
dbc.Button("Invisible5", id="teams-map", style={"display": "none"}),
footer
]
)
def clean_category_label(raw_label):
label = raw_label.replace("typed_", "").replace("_", " ").replace("leaderboard","").title()
return label
def leaderboard_layout(year=2024, category="typed_leaderboard_blue_banners"):
# Fetch leaderboard data
leaderboard_data = tba_get(f"insights/leaderboards/{year}")
if not leaderboard_data:
return html.Div("Error fetching leaderboard data.")
# Extract leaderboard categories and clean labels
leaderboard_categories = [
{"label": clean_category_label(item["name"]), "value": item["name"]}
for item in leaderboard_data
]
# Default to the first category if not provided
if category not in [item["value"] for item in leaderboard_categories]:
category = leaderboard_categories[0]["value"]
# Filter data for the selected category
leaderboard_table_data = []
for item in leaderboard_data:
if item["name"] == category:
rankings = item.get("data", {}).get("rankings", [])
for rank in rankings:
for team_key in rank.get("keys", []):
team_number = team_key.replace("frc", "")
leaderboard_table_data.append({
"Team": team_number,
"Value": rank.get("value", 0),
})
# Sort data by value
leaderboard_table_data = sorted(leaderboard_table_data, key=lambda x: x["Value"], reverse=True)
# Create a DataTable
leaderboard_table = dash_table.DataTable(
id="leaderboard-table",
columns=[
{"name": "Team", "id": "Team", "presentation": "markdown"},
{"name": "Value", "id": "Value"},
{"name": "Rank", "id": "Rank"},
],
data=leaderboard_table_data,
sort_action="native",
style_table={"overflowX": "auto",
"borderRadius": "10px",
"border": "1px solid #ddd"},
style_cell={
"textAlign": "left",
"padding": "10px",
"fontFamily": "Arial, sans-serif",
"fontSize": "14px",
},