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import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from charts import (
create_top_players_chart,
create_actions_distribution_chart,
create_matches_activity_chart,
create_performance_heatmap, # ← NOUVEAU
create_team_activity_heatmap, # ← NOUVEAU
create_performance_comparison_chart, # ← NOUVEAU
create_performance_violin_chart
)
from analytics.scoring import *
def show_dashboard(df):
"""Affiche le tableau de bord principal"""
st.divider()
# Métriques générales
metrics_config = [
{
"title": "Moy. note match",
"value": get_global_score(df),
"format": "{:,.2f}"
},
{
"title": "Total actions",
"value": df['Nb_actions'].sum(),
"format": "{:,.0f}"
},
{
"title": "Joueuses actives",
"value": df['Nom'].nunique(),
"format": "{}"
},
{
"title": "Matchs analysés",
"value": df['Match'].nunique(),
"format": "{}"
},
{
"title": "Moy. actions/joueuse",
"value": df.groupby(['Prenom', 'Nom'])['Nb_actions'].sum().mean(),
"format": "{:.0f}"
}
]
# Création des colonnes dynamiquement
cols = st.columns(len(metrics_config))
# Affichage des métriques avec une boucle
for i, metric in enumerate(metrics_config):
with cols[i]:
formatted_value = metric["format"].format(metric["value"])
st.metric(metric["title"], formatted_value)
st.divider()
fig = create_performance_violin_chart(df)
# fig = create_performance_comparison_chart(df)
st.plotly_chart(fig, use_container_width=True)
# Graphiques principaux
col1, col2 = st.columns(2)
with col1:
fig = create_top_players_chart(df, n_players=15)
st.plotly_chart(fig, use_container_width=True)
with col2:
fig = create_actions_distribution_chart(df)
st.plotly_chart(fig, use_container_width=True)
# Graphiques pleine largeur
# col1, col2 = st.columns(2)
# with col1:
# fig = create_matches_activity_chart(df)
# st.plotly_chart(fig, use_container_width=True)
# with col2:
# fig = create_team_activity_heatmap(df)
# st.plotly_chart(fig, use_container_width=True)
# st.divider()
# fig = create_performance_heatmap(df, n_players=15)
# st.plotly_chart(fig, use_container_width=True)
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