Update src/streamlit_app.py

src/streamlit_app.py

@@ -58,19 +58,25 @@ if search_button:
         df = fetch_earthquakes(start_date, end_date, min_magnitude)
 
     if df is not None and not df.empty:
-        st.success(f"Found {len(df)} earthquakes matching your criteria.")
-
-        # --- ROBUST FIX IS HERE ---
-        # The API is inconsistent. Check for 'event_time', otherwise fall back to 'time'.
+        # --- DIAGNOSTIC FIX IS HERE ---
+        # This logic now includes a debugging message to reveal the available columns.
+        time_col = None
         if 'event_time' in df.columns:
-            df['time'] = pd.to_datetime(df['event_time'])
+            time_col = 'event_time'
         elif 'time' in df.columns:
-            df['time'] = pd.to_datetime(df['time'])
+            time_col = 'time'
+        
+        if time_col:
+            df['time'] = pd.to_datetime(df[time_col])
         else:
-            # If neither key is found, show an error and stop execution.
+            # If no time column is found, print the available columns for debugging.
             st.error("Data format error: Could not find a valid time column in the API response.")
+            st.warning("The API returned data, but the column names were not as expected.")
+            st.write("**Available columns found in the data:**", df.columns.tolist())
             st.stop()
         
+        # --- The rest of the script continues as before ---
+        st.success(f"Found {len(df)} earthquakes matching your criteria.")
         df['magnitude'] = df['mag'].astype(float)
         df['depth'] = df['depth'].astype(float)