Update app.py

app.py

@@ -80,46 +80,23 @@ def fetch_coordinates_batch(unique_locations):
     if os.path.exists(json_file):
         try:
             with open(json_file, 'r') as f:
-                # Convert string keys "District, State" back to tuple
+                # Convert string keys "District|State" back to tuple
                 loaded_data = json.load(f)
                 for k, v in loaded_data.items():
-                    dist, state = k.split("|")
-                    coords_map[(dist, state)] = tuple(v)
+                    if "|" in k:
+                        d, s = k.split("|")
+                        coords_map[(d, s)] = tuple(v)
         except json.JSONDecodeError:
             pass # File corrupted, start fresh
 
-    # 2. Add Hardcoded Pre-fills (High Priority Redundancy)
-    hardcoded_map = {
-        ('Gautam Buddha Nagar', 'Uttar Pradesh'): (28.39, 77.65),
-        ('West Jaintia Hills', 'Meghalaya'): (25.55, 92.38),
-        ('West Khasi Hills', 'Meghalaya'): (25.56, 91.29),
-        ('Bijapur', 'Chhattisgarh'): (18.80, 80.82),
-        ('Dhule', 'Maharashtra'): (20.90, 74.77),
-        ('Dhamtari', 'Chhattisgarh'): (20.71, 81.55),
-        ('Udupi', 'Karnataka'): (13.34, 74.75),
-        ('Supaul', 'Bihar'): (26.29, 86.82),
-        ('Puruliya', 'West Bengal'): (23.25, 86.50),
-        ('Mumbai', 'Maharashtra'): (19.0760, 72.8777),
-        ('Pune', 'Maharashtra'): (18.5204, 73.8567),
-        ('Bangalore', 'Karnataka'): (12.9716, 77.5946),
-        ('Bengaluru', 'Karnataka'): (12.9716, 77.5946),
-        ('Chennai', 'Tamil Nadu'): (13.0827, 80.2707),
-        ('Hyderabad', 'Telangana'): (17.3850, 78.4867),
-        ('Kolkata', 'West Bengal'): (22.5726, 88.3639),
-        ('Delhi', 'Delhi'): (28.7041, 77.1025),
-        ('Shimla', 'Himachal Pradesh'): (31.1048, 77.1734)
-    }
-    # Update cache with hardcoded values (overrides JSON if conflict, usually better accuracy)
-    coords_map.update(hardcoded_map)
-    
-    # 3. Identify missing locations
+    # 2. Identify missing locations
     missing_locs = [loc for loc in unique_locations if loc not in coords_map]
     
     if not missing_locs:
         return coords_map
 
-    # 4. Dynamic Fetching for missing
-    progress_text = "📡 Connecting to Satellite Geocoding API..."
+    # 3. Dynamic Fetching for missing
+    progress_text = "📡 New locations found. Fetching coordinates..."
     my_bar = st.progress(0, text=progress_text)
     
     headers = {'User-Agent': 'StarkDashboard/1.0 (Government Research Project)'}
@@ -142,8 +119,7 @@ def fetch_coordinates_batch(unique_locations):
                 coords_map[(district, state)] = (float(data['lat']), float(data['lon']))
                 updated = True
             else:
-                # Fallback if API fails: Keep existing State Centers logic inside main loop later
-                pass
+                pass # Fail silently, will fall back to state center logic later
                 
             # Respect Rate Limiting (1 request per second)
             time.sleep(1.1) 
@@ -153,7 +129,7 @@ def fetch_coordinates_batch(unique_locations):
             
     my_bar.empty()
     
-    # 5. Save back to JSON if new data fetched
+    # 4. Save back to JSON if new data fetched
     if updated:
         # Convert keys to string "District|State" for JSON compatibility
         save_data = {f"{k[0]}|{k[1]}": v for k, v in coords_map.items()}