Update src/streamlit_app.py

src/streamlit_app.py

@@ -22,16 +22,11 @@ def fetch_live_data(start_date, end_date, min_mag):
     """
     Fetches live earthquake data from the IRIS FDSN web service using ObsPy.
     """
-    # Initialize the FDSN client
     client = Client("IRIS")
-    
-    # Convert dates to ObsPy's UTCDateTime format
     start_time = UTCDateTime(start_date)
-    # Add one day to the end date to ensure the entire day is included
     end_time = UTCDateTime(end_date) + timedelta(days=1)
 
     try:
-        # Fetch the earthquake catalog
         catalog = client.get_events(
             starttime=start_time,
             endtime=end_time,
@@ -39,32 +34,34 @@ def fetch_live_data(start_date, end_date, min_mag):
         )
     except Exception as e:
         st.error(f"Could not retrieve data from IRIS FDSN service: {e}")
-        return pd.DataFrame() # Return empty dataframe on error
+        return pd.DataFrame()
 
-    # Process the catalog into a list of dictionaries
     event_list = []
     for event in catalog:
-        # Skip events that lack a preferred origin or magnitude to prevent errors
         if not (event.preferred_origin() and event.preferred_magnitude()):
             continue
 
         origin = event.preferred_origin()
         magnitude = event.preferred_magnitude()
-        
-        # Get location description
+
+        # --- CORRECTED CODE IS HERE ---
+        # Get location description safely.
         description = "N/A"
-        if event.descriptions and event.descriptions[0].text:
-            description = event.descriptions[0].text
+        # First, check if the 'descriptions' attribute exists.
+        if hasattr(event, 'descriptions'):
+            # If it exists, then check if it's a non-empty list with text.
+            if event.descriptions and event.descriptions[0].text:
+                description = event.descriptions[0].text
 
         event_list.append({
             "latitude": origin.latitude,
             "longitude": origin.longitude,
-            "depth": origin.depth / 1000,  # Convert depth from meters to km
+            "depth": origin.depth / 1000,
             "magnitude": magnitude.mag,
             "time": origin.time.datetime,
             "place": description,
         })
-    
+
     if not event_list:
         return pd.DataFrame()
 
@@ -76,21 +73,15 @@ st.markdown("Data is fetched in real-time from the **IRIS FDSN** web service.")
 
 with st.sidebar:
     st.header("🔍 Search Parameters")
-
-    # Set default dates: today and 30 days prior
     today = date.today()
     thirty_days_ago = today - timedelta(days=30)
-
     start_date = st.date_input("Start Date", value=thirty_days_ago)
     end_date = st.date_input("End Date", value=today)
-
     min_magnitude = st.slider("Minimum Magnitude", 0.0, 10.0, 5.0, 0.1)
-
     search_button = st.button("Search Earthquakes", type="primary", use_container_width=True)
 
 # --- Main Content Area ---
 if search_button:
-    # Validate date range
     if start_date > end_date:
         st.error("Error: Start date cannot be after end date.")
     else:
@@ -100,16 +91,13 @@ if search_button:
         if not df.empty:
             st.success(f"Found {len(df)} earthquakes matching your criteria.")
 
-            # --- Display Summary Metrics ---
             st.subheader("📊 Summary Statistics")
             col1, col2, col3 = st.columns(3)
             col1.metric("Total Earthquakes", f"{len(df):,}")
             col2.metric("Largest Magnitude", f"{df['magnitude'].max():.1f}")
             col3.metric("Deepest Event (km)", f"{df['depth'].max():.1f}")
-            
-            st.markdown("---")
 
-            # --- Draw Earthquake Distribution Map ---
+            st.markdown("---")
             st.subheader("🌍 Interactive Earthquake Map")
             st.markdown("Hover over points for details. Circle size represents magnitude.")
 
@@ -128,7 +116,6 @@ if search_button:
             fig.update_layout(margin={"r":0,"t":40,"l":0,"b":0}, coloraxis_colorbar_title_text='Depth (km)')
             st.plotly_chart(fig, use_container_width=True)
 
-            # --- Show Earthquakes in a Table ---
             st.subheader("📋 Detailed Earthquake Data")
             display_df = df[['time', 'place', 'magnitude', 'depth']].copy()
             st.dataframe(