Upload app.py

src/app.py

@@ -99,8 +99,43 @@ async def get_route_view(route_id: str):
     all_buses = data.get("vehicles", [])
     route_buses = [v for v in all_buses if v['route'] == route_id]
     
+    # Get all stops for this route (regardless of whether there are active vehicles)
+    stops_query = """
+        SELECT DISTINCT
+            s.stop_id,
+            s.stop_code,
+            s.stop_name,
+            s.stop_lat,
+            s.stop_lon
+        FROM routes r
+        JOIN trips t ON r.route_id = t.route_id
+        JOIN stop_times st ON CAST(t.trip_id AS VARCHAR) = CAST(st.trip_id AS VARCHAR)
+        JOIN stops s ON CAST(st.stop_id AS VARCHAR) = CAST(s.stop_id AS VARCHAR)
+        WHERE CAST(r.route_id AS VARCHAR) = ?
+        ORDER BY s.stop_name
+    """
+    stops_results = db.execute(stops_query, [str(route_id)]).fetchall()
+    
+    stops = [
+        {
+            "stop_id": str(r[0]),
+            "stop_code": str(r[1]) if r[1] else None,
+            "stop_name": r[2],
+            "location": {
+                "lat": r[3],
+                "lon": r[4]
+            }
+        }
+        for r in stops_results
+    ]
+    
+    # If no active vehicles, return just the stops
     if not route_buses:
-        return {"route": route_id, "vehicles": []}
+        return {
+            "route": route_id,
+            "vehicles": [],
+            "stops": stops
+        }
 
     # IMPORTANT: Cast Trip IDs to strings to ensure they match the DB
     trip_ids = [str(v['trip_id']) for v in route_buses]
@@ -157,7 +192,8 @@ async def get_route_view(route_id: str):
     return {
         "route": route_id,
         "count": len(enriched),
-        "vehicles": enriched
+        "vehicles": enriched,
+        "stops": stops
     }
 
 @app.get("/api/vehicles/{vehicle_id}")
@@ -341,11 +377,11 @@ async def get_alerts_for_route(route_id: str):
 
 @app.get("/api/nearby")
 async def get_nearby_context(lat: float, lon: float):
-    # Bounding box approximation for ~500m radius (fast, no Haversine needed)
+    # Bounding box approximation for ~1km radius (fast, no Haversine needed)
     # At Toronto's latitude (~43.6°): 1° lat ≈ 111km, 1° lon ≈ 55.4km
-    # For 500m: lat_range = 0.0045°, lon_range ≈ 0.0072°
-    lat_range = 0.0045  # ~500m in latitude (constant globally)
-    lon_range = 0.0072  # ~500m in longitude at Toronto's latitude
+    # For 1km: lat_range = 0.009°, lon_range ≈ 0.0144°
+    lat_range = 0.009  # ~1km in latitude (constant globally)
+    lon_range = 0.0144  # ~1km in longitude at Toronto's latitude
 
     # 1. Find all stops within the bounding box
     query_stops = """