Update app.py

app.py

@@ -3,25 +3,43 @@ import pandas as pd
 import numpy as np
 import optuna
 import plotly.express as px
+import requests
+import io
 
 st.title("Portfolio weights calculator")
 
 help_string = "NOTA: Para su información los datos utilizados se extrajeron de GOOGLEFINANCE."
 
-"STOCKS - Hoja 1.csv"
+api_url = "https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&apikey=QVQGE7YPO68S403J&datatype=csv"
+symbols = ['AMZN', 'MELI', 'ETSY']
 
-check_box = st.checkbox("¿Quieres usar el archivo que tenemos para ti?")
+option = st.selectbox("Selecciona la fuente de datos:", ("Usar archivo predeterminado", "API Alpha Vantage", "Subir archivo propio"))
 
-if check_box:
-    uploaded_file = "STOCKS - Hoja 1.csv"
-    file_name = uploaded_file
-else:
+if option == "Usar archivo predeterminado":
+    uploaded_file = "STOCKS - Hoja 1.csv"  
+    
+elif option == "API Alpha Vantage":
+    for symbol in symbols:
+        st.subheader(symbol)
+        response = requests.get(f"{api_url}&symbol={symbol}")
+        if response.status_code == 200:
+            data = pd.read_csv(io.BytesIO(response.content))
+            st.write(f"Datos de la acción {symbol}:")
+            st.write(data.head())
+        else:
+            st.write(f"Error al obtener los datos de la acción {symbol}. Código de estado:", response.status_code)
+elif option == "Subir archivo propio":
     uploaded_file = st.file_uploader("Sube aquí tu archivo de excel", type=[".xls", ".xlsx", ".csv"], help=help_string)
-    file_name = uploaded_file.name if uploaded_file is not None else None
+    if uploaded_file is not None:
+        # Cargar y procesar el archivo subido
+        if uploaded_file.name[-3:] == "csv":
+            df = pd.read_csv(uploaded_file)
+        else:
+            df = pd.read_excel(uploaded_file)
+        # Resto del procesamiento del archivo ...
 
 if uploaded_file is not None:
-    # Can be used wherever a "file-like" object is accepted:
-    if file_name[-3:] == "csv":
+    if uploaded_file.name[-3:] == "csv":
         df = pd.read_csv(uploaded_file)
     else:
         df = pd.read_excel(uploaded_file)
@@ -29,7 +47,6 @@ if uploaded_file is not None:
     df = df.drop(0, axis=0)
     df = df.drop("Unnamed: 2", axis=1).drop("Unnamed: 4", axis=1).rename({"Unnamed: 0": "Date"}, axis=1) 
     
-   
     df['Date'] = pd.to_datetime(df['Date'], format="%d/%m/%Y %H:%M:%S")
     
     stocks = list(df.columns)[-3:]
@@ -42,11 +59,9 @@ if uploaded_file is not None:
         
     st.write(df[["Date"] + stocks_rets])
     
-    # Plotting with Plotly
     fig = px.line(df, x=df.Date, y=stocks, labels={'value': 'Value', 'variable': 'Series'}, title='Time Series Plot')
     fig.update_layout(xaxis_title='Date', yaxis_title='Value')
     
-    # Use Streamlit to render the plot
     st.plotly_chart(fig)
     
     ret_list = df[stocks_rets].mean().to_numpy().reshape(-1, 1)