Update app.py

app.py

@@ -6,6 +6,7 @@ import matplotlib.pyplot as plt
 import plotly.graph_objects as go
 import numpy as np
 import os
+from datetime import date
 
 from processes import *
 # Función para obtener los datos y mostrarlos en el DataFrame de la UI
@@ -16,6 +17,15 @@ def generar_tabla(option_type, ticker_input, expiration_date, size_of_the_window
 
     if yf.Ticker(ticker_input).options:
         if expiration_date is None or expiration_date == "":
+            
+            expiration_date1 = date.today().strftime('%Y-%m-%d')
+            fechas = pd.Series(yf.Ticker(ticker_input).options)
+            timedeltas = fechas.apply(lambda x: pd.to_datetime(x) - pd.to_datetime(expiration_date))
+            expiration_date1 = fechas[timedeltas.abs().idxmin()]
+            df_final = data_option(ticker_input, expiration_date1, option_type, size_of_the_window)
+            
+        return df_final
+        elif expiration_date == "All":
             for date in yf.Ticker(ticker_input).options:
                 table = data_option(ticker_input, date, option_type, size_of_the_window)
                 if not table.empty:
@@ -181,8 +191,8 @@ def exportar_a_excel_con_hojas(ticker_input, expiration_date, size_of_the_window
 
 
 # --- Valores por defecto para inicializar la tabla ---
-initial_df_put = generar_tabla("put", "MSTR", '1900-01-01', 16)
-initial_df_call = generar_tabla("call", "MSTR", '1900-01-01', 16)
+initial_df_put = generar_tabla("put", "MSTR", '', 16)
+initial_df_call = generar_tabla("call", "MSTR", '', 16)
 
 
 with gr.Blocks(title="Análisis de Opciones") as demo: