Update app.py

app.py

@@ -162,18 +162,57 @@ def update_oni_data():
             os.remove(temp_file)
 
 def load_data(oni_path, typhoon_path):
-    if not os.path.exists(typhoon_path):
+    # Create default empty DataFrames
+    oni_data = pd.DataFrame({'Year': [], 'Jan': [], 'Feb': [], 'Mar': [], 'Apr': [], 
+                           'May': [], 'Jun': [], 'Jul': [], 'Aug': [], 'Sep': [], 
+                           'Oct': [], 'Nov': [], 'Dec': []})
+    typhoon_data = pd.DataFrame()
+    
+    # Try to load ONI data
+    if os.path.exists(oni_path):
+        try:
+            oni_data = pd.read_csv(oni_path)
+        except Exception as e:
+            logging.error(f"Error loading ONI data: {e}")
+            # Update ONI data if loading fails
+            update_oni_data()
+            try:
+                oni_data = pd.read_csv(oni_path)
+            except Exception as e:
+                logging.error(f"Still can't load ONI data: {e}")
+    else:
+        logging.warning(f"ONI data file not found: {oni_path}")
+        # Try to download ONI data
+        update_oni_data()
+        try:
+            oni_data = pd.read_csv(oni_path)
+        except Exception as e:
+            logging.error(f"Failed to create ONI data: {e}")
+    
+    # Try to load typhoon data
+    if os.path.exists(typhoon_path):
+        try:
+            typhoon_data = pd.read_csv(typhoon_path, low_memory=False)
+            typhoon_data['ISO_TIME'] = pd.to_datetime(typhoon_data['ISO_TIME'], errors='coerce')
+            typhoon_data = typhoon_data.dropna(subset=['ISO_TIME'])
+        except Exception as e:
+            logging.error(f"Error loading typhoon data: {e}")
+    else:
         logging.error(f"Typhoon data file not found: {typhoon_path}")
-        return pd.DataFrame(), pd.DataFrame()
-    try:
-        oni_data = pd.read_csv(oni_path)
-        typhoon_data = pd.read_csv(typhoon_path, low_memory=False)
-        typhoon_data['ISO_TIME'] = pd.to_datetime(typhoon_data['ISO_TIME'], errors='coerce')
-        typhoon_data = typhoon_data.dropna(subset=['ISO_TIME'])
-        return oni_data, typhoon_data
-    except Exception as e:
-        logging.error(f"Error loading data: {e}")
-        return pd.DataFrame(), pd.DataFrame()
+        # Create minimal sample data to prevent crashes
+        typhoon_data = pd.DataFrame({
+            'SID': ['WP012000'], 
+            'ISO_TIME': [pd.Timestamp('2000-01-01')],
+            'NAME': ['SAMPLE'],
+            'SEASON': [2000],
+            'LAT': [20.0],
+            'LON': [140.0],
+            'USA_WIND': [50.0],
+            'USA_PRES': [990.0]
+        })
+        logging.warning("Created minimal sample typhoon data to prevent crashes")
+    
+    return oni_data, typhoon_data
 
 def process_oni_data(oni_data):
     oni_long = oni_data.melt(id_vars=['Year'], var_name='Month', value_name='ONI')