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import streamlit as st
from utils.data_processing import load_data
from components.layout import create_sidebar, create_main_layout
from components.visualization import create_pizza_chart, display_metrics, get_max_values_for_ville
import pandas as pd
# Configuration de la page Streamlit
st.set_page_config(
page_title="Statistiques Rugby",
page_icon="🏉",
layout="wide"
)
def main():
"""Fonction principale de l'application"""
st.title("🏉 Analyse des Statistiques Rugby")
# Chargement des données
data = load_data()
# Conversion des colonnes numériques
numeric_columns = data.select_dtypes(include=['object']).columns
for col in numeric_columns:
if col != 'name' and col != 'Ville':
data[col] = pd.to_numeric(data[col], errors='coerce')
# Création de l'interface
selected_ville, selected_player = create_sidebar(data)
col1, col2 = create_main_layout(data, selected_ville)
with col1:
st.subheader(f"Statistiques pour {selected_player} ({selected_ville})")
# Récupérer uniquement les valeurs maximales
max_values = get_max_values_for_ville(data, selected_ville)
fig = create_pizza_chart(data, selected_ville, selected_player, max_values)
if fig is not None:
st.pyplot(fig)
with col2:
st.subheader("Valeurs maximales pour ce match")
if max_values:
display_metrics(max_values)
else:
st.warning("Aucune donnée maximale disponible")
if __name__ == "__main__":
main() |