Update app.py

app.py

@@ -3,6 +3,7 @@ import hashlib
 from time import strftime, gmtime
 import streamlit as st
 from datetime import datetime, timedelta
+import pandas as pd  # Assuming you'll convert the data to a Pandas DataFrame
 
 # Function to fetch data from ShareASale
 def fetch_shareasale_data(action_verb, affiliate_id, api_token, api_secret_key, api_version=1.4):
@@ -49,5 +50,10 @@ if st.sidebar.button("Fetch Data"):
     action_verb = 'ledger'
     ledger_data = fetch_shareasale_data(action_verb, my_affiliate_id, api_token, api_secret_key)
     
-    # Display data (this is a placeholder, replace with actual parsing and display logic)
-    st.write(ledger_data)
+    # TODO: Parse the ledger_data into a Pandas DataFrame (or any other suitable data structure)
+    # For demonstration, let's assume `ledger_data_df` is a Pandas DataFrame containing the parsed ledger data
+    # ledger_data_df = some_parsing_function(ledger_data)
+    
+    # Display data as a table
+    # st.table(ledger_data_df)
+    st.write("Replace this line with the parsed table data using st.table")