Upload streamlit_app.py

streamlit_app.py

@@ -10,7 +10,7 @@ from dotenv import load_dotenv
 import os
 
 load_dotenv()
-API_KEY = os.getenv("API_KEY")  # ⚠️ CÁMBIALA POR UNA SEGURA
+API_KEY = os.getenv("API_KEY")
 # --- CONFIGURACIÓN INICIAL ---
 st.set_page_config(layout="wide", page_title="Corners Forecast", page_icon="⚽")
 
@@ -30,7 +30,7 @@ st.markdown("""
 MSE_MODELO = 1.9
 RMSE_MODELO = 2.42
 R2_MODELO = 0.39
-N_SIMULACIONES = 5000  # 👈 REDUCIDO A 5000
+N_SIMULACIONES = 5000
 
 # --- FUNCIONES AUXILIARES ---
 def probabilidad_a_momio(probabilidad):
@@ -48,14 +48,14 @@ def clasificar_valor_apuesta(momio_real, momio_modelo):
     else:
         return "🔴 SIN VALOR"
 
-@st.cache_data(ttl=3600)  # 👈 CACHE 1 HORA
+@st.cache_data(ttl=3600)
 def simular_lambda_montecarlo(lambda_pred, sigma=RMSE_MODELO, n_sims=N_SIMULACIONES):
     """Genera simulaciones Monte Carlo con CACHE"""
     lambdas = np.random.normal(lambda_pred, sigma, n_sims)
     lambdas = np.maximum(lambdas, 0.1)
     return lambdas
 
-@st.cache_data(ttl=3600)  # 👈 CACHE 1 HORA
+@st.cache_data(ttl=3600)
 def calcular_probabilidades_con_incertidumbre(lambda_pred, linea, tipo='over', sigma=RMSE_MODELO, n_sims=N_SIMULACIONES):
     """Calcula probabilidades con CACHE"""
     lambdas_sim = simular_lambda_montecarlo(lambda_pred, sigma, n_sims)
@@ -159,9 +159,8 @@ LEAGUES_DICT = {
 # --- HEADER ---
 st.markdown("<h1 style='text-align: center;'>Corners Forecast</h1>", unsafe_allow_html=True)
 
-
 # --- CARGAR DATOS ---
-@st.cache_data  # 👈 CACHE PERMANENTE
+@st.cache_data
 def cargar_datos():
     df = pd.read_csv(r"https://raw.githubusercontent.com/danielsaed/futbol_corners_forecast/refs/heads/main/dataset/cleaned/dataset_cleaned.csv")
     return df[['local','league']].drop_duplicates()
@@ -174,38 +173,76 @@ if 'prediccion_realizada' not in st.session_state:
 if 'resultado_api' not in st.session_state:
     st.session_state.resultado_api = None
 
+# 👇 NUEVO: Guardar valores anteriores para detectar cambios
+if 'prev_liga' not in st.session_state:
+    st.session_state.prev_liga = None
+if 'prev_jornada' not in st.session_state:
+    st.session_state.prev_jornada = None
+if 'prev_temporada' not in st.session_state:
+    st.session_state.prev_temporada = None
+if 'prev_local' not in st.session_state:
+    st.session_state.prev_local = None
+if 'prev_away' not in st.session_state:
+    st.session_state.prev_away = None
+
 st.markdown("")
 
 # --- SELECCIÓN DE PARÁMETROS ---
 col1, col2, col3 = st.columns([1, 1, 1])
 
-
-
 with col2:
     option = st.selectbox(
         "🏆 Liga",
         ["La Liga", "Premier League", "Ligue 1", "Serie A", "Eredivisie", "Liga NOS", "Pro League", "Bundesliga"],
         index=None,
         placeholder="Selecciona liga",
+        key="liga_select"
     )
 
+# 👇 DETECTAR CAMBIO EN LIGA
+if option != st.session_state.prev_liga:
+    st.session_state.prediccion_realizada = False
+    st.session_state.resultado_api = None
+    st.session_state.prev_liga = option
+
 st.write("")
 
 col_jornada1, col_jornada2, col_jornada3, col_jornada4 = st.columns([2, 1, 1, 2])
+
+jornada = None
+temporada = None
+
 with col_jornada2:
     if option:
-        jornada = st.number_input("📅 Jornada", min_value=5, max_value=42, value=15, step=1)
+        jornada = st.number_input("📅 Jornada", min_value=5, max_value=42, value=15, step=1, key="jornada_input")
+        
+        # 👇 DETECTAR CAMBIO EN JORNADA
+        if jornada != st.session_state.prev_jornada:
+            st.session_state.prediccion_realizada = False
+            st.session_state.resultado_api = None
+            st.session_state.prev_jornada = jornada
+
 with col_jornada3:
     if option:
         temporada = st.selectbox(
             "Temporada",
             [2526, 2425, 2324, 2223, 2122],
-            index=0
+            index=0,
+            key="temporada_select"
         )
+        
+        # 👇 DETECTAR CAMBIO EN TEMPORADA
+        if temporada != st.session_state.prev_temporada:
+            st.session_state.prediccion_realizada = False
+            st.session_state.resultado_api = None
+            st.session_state.prev_temporada = temporada
 
 st.write("")
 
-cl2, cl3, cl4 = st.columns([ 4, 1, 4])
+cl2, cl3, cl4 = st.columns([4, 1, 4])
+
+option_local = None
+option_away = None
 
 with cl2:
     if option:
@@ -215,7 +252,14 @@ with cl2:
                 list(df["local"][df["league"] == LEAGUES_DICT[option]]),
                 index=None,
                 placeholder="Equipo local",
+                key="local_select"
             )
+            
+            # 👇 DETECTAR CAMBIO EN EQUIPO LOCAL
+            if option_local != st.session_state.prev_local:
+                st.session_state.prediccion_realizada = False
+                st.session_state.resultado_api = None
+                st.session_state.prev_local = option_local
 
 with cl3:
     if option:
@@ -231,7 +275,14 @@ with cl4:
                 list(df["local"][df["league"] == LEAGUES_DICT[option]]),
                 index=None,
                 placeholder="Equipo visitante",
+                key="away_select"
             )
+            
+            # 👇 DETECTAR CAMBIO EN EQUIPO VISITANTE
+            if option_away != st.session_state.prev_away:
+                st.session_state.prediccion_realizada = False
+                st.session_state.resultado_api = None
+                st.session_state.prev_away = option_away
 
 # --- BOTÓN PARA GENERAR PREDICCIÓN ---
 if option and option_local and option_away:
@@ -241,10 +292,9 @@ if option and option_local and option_away:
     col_btn1, col_btn2, col_btn3 = st.columns([1, 1, 1])
     
     with col_btn2:
-        # 👈 BOTÓN PARA EJECUTAR PREDICCIÓN
         if st.button("Generar Predicción", type="secondary", use_container_width=True):
             st.session_state.prediccion_realizada = True
-            st.session_state.resultado_api = None  # Reset resultado
+            st.session_state.resultado_api = None
     
     st.write("")
     st.write("")
@@ -252,13 +302,11 @@ if option and option_local and option_away:
 # --- REALIZAR PREDICCIÓN (SOLO SI SE PRESIONÓ EL BOTÓN) ---
 if option and option_local and option_away and st.session_state.prediccion_realizada:
     
-    # Si no hay resultado en cache, hacer petición
     if st.session_state.resultado_api is None:
         
         with st.spinner('🔮 Generando predicción con análisis de incertidumbre...'):
             
             url = "https://daniel-saed-futbol-corners-forecast-api.hf.space/items/"
-            #url = "http://localhost:7860//items/"
             headers = {"X-API-Key": API_KEY}
             params = {
                 "local": option_local,
@@ -272,7 +320,7 @@ if option and option_local and option_away and st.session_state.prediccion_reali
                 response = requests.get(url, headers=headers, params=params, timeout=30)
                 
                 if response.status_code == 200:
-                    st.session_state.resultado_api = response.json()  # 👈 GUARDAR EN SESSION
+                    st.session_state.resultado_api = response.json()
                     st.success("✅ Predicción generada")
                 elif response.status_code == 401:
                     st.error("❌ Error de Autenticación - API Key inválida")
@@ -296,7 +344,7 @@ if option and option_local and option_away and st.session_state.prediccion_reali
                 st.code(traceback.format_exc())
                 st.stop()
     
-    # --- MOSTRAR RESULTADOS (DESDE SESSION STATE) ---
+    # --- MOSTRAR RESULTADOS ---
     if st.session_state.resultado_api:
         resultado = st.session_state.resultado_api
         lambda_pred = resultado['prediccion']
@@ -315,7 +363,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
         
         st.write("")
         
-        # Métricas principales con Streamlit nativo
         col_pred1, col_pred2, col_pred3 = st.columns(3)
         
         with col_pred1:
@@ -341,10 +388,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
                 help="Intervalo de confianza 95% (superior)"
             )
         
-        st.write("")
-        
-
-        
         st.write("")
         st.write("")
         st.markdown("---")
@@ -352,7 +395,7 @@ if option and option_local and option_away and st.session_state.prediccion_reali
         st.write("")
         
         # ============================================
-        # 2. ANÁLISIS DE EQUIPOS (CON TABLAS)
+        # 2. ANÁLISIS DE EQUIPOS
         # ============================================
         
         stats_data = resultado['stats']
@@ -365,7 +408,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
         
         riesgo = resultado['riesgo']
         
-        # 👈 TABLA DE CORNERS GENERADOS Y CONCEDIDOS
         st.markdown("### Análisis de Corners")
         
         df_corners = pd.DataFrame({
@@ -394,7 +436,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
         st.write("")
         st.write("")
         
-        # --- FIABILIDAD ---
         st.markdown("### Fiabilidad")
         
         col_fiab1, col_fiab2, col_fiab3 = st.columns(3)
@@ -435,14 +476,13 @@ if option and option_local and option_away and st.session_state.prediccion_reali
         st.write("")
         
         # ============================================
-        # 3. PROBABILIDADES CON MONTE CARLO
+        # 3. PROBABILIDADES
         # ============================================
         
         st.info(f"🔬 **Análisis con {N_SIMULACIONES:,} simulaciones Monte Carlo** considerando RMSE={RMSE_MODELO}")
         
         tab_over, tab_under = st.tabs(["⬆️ OVER", "⬇️ UNDER"])
         
-        # TAB OVER
         with tab_over:
             probs_over = resultado['probabilidades_over']
             
@@ -494,7 +534,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
             
             st.write("")
             
-            # Gráfico
             fig_over = go.Figure()
             
             lineas_sorted = sorted([x['linea_num'] for x in df_over_incertidumbre])
@@ -532,7 +571,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
             
             st.plotly_chart(fig_over, use_container_width=True)
         
-        # TAB UNDER
         with tab_under:
             probs_under = resultado['probabilidades_under']
             
@@ -586,7 +624,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
             
             st.write("")
             
-            # Gráfico
             fig_under = go.Figure()
             
             lineas_sorted_under = sorted([x['linea_num'] for x in df_under_incertidumbre])
@@ -631,13 +668,12 @@ if option and option_local and option_away and st.session_state.prediccion_reali
         st.write("")
             
         # ============================================
-        # 4. CALCULADORA AVANZADA
+        # 4. CALCULADORA
         # ============================================
         st.markdown("## 💰 Calculadora de Valor")
         
         st.write("")
         
-        # Combinar datos
         todas_lineas_datos = {}
         
         for item in df_over_incertidumbre:
@@ -765,7 +801,6 @@ if option and option_local and option_away and st.session_state.prediccion_reali
             else:
                 st.error("🔴 EV negativo")
     
-        # Footer
         st.write("")
         st.write("")
         st.markdown("---")
@@ -774,7 +809,7 @@ if option and option_local and option_away and st.session_state.prediccion_reali
 else:
     if option:
         if option_local and option_away:
-            pass  # Esperando botón
+            pass
         else:
             st.info("👆 Selecciona ambos equipos")
     else:
@@ -799,9 +834,6 @@ with st.sidebar:
     for league in LEAGUES_DICT.keys():
         st.write(f"• {league}")
     
-
-    
-    # 👈 BOTÓN PARA LIMPIAR CACHE
     if st.button("🗑️ Limpiar Cache", use_container_width=True):
         st.cache_data.clear()
         st.session_state.prediccion_realizada = False
@@ -809,4 +841,4 @@ with st.sidebar:
         st.success("✅ Cache limpiado")
         st.rerun()
     
-    st.markdown("---")
+    st.markdown("---")