Upload app.py

src/app.py

@@ -329,6 +329,49 @@ async def get_alerts_for_route(route_id: str):
         "alerts": route_alerts
     }
 
+@app.get("/api/nearby")
+async def get_nearby_context(lat: float, lon: float):
+    # Bounding box approximation for ~500m 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
+
+    # 1. Find all stops within the bounding box
+    query_stops = """
+        SELECT stop_id, stop_code, stop_name, stop_lat, stop_lon
+        FROM stops
+        WHERE stop_lat BETWEEN ? AND ?
+          AND stop_lon BETWEEN ? AND ?
+    """
+    stops = db.execute(query_stops, [lat - lat_range, lat + lat_range, lon - lon_range, lon + lon_range]).fetchall()
+    
+    stop_ids = [str(s[0]) for s in stops]
+    if not stop_ids:
+        return {"stops": [], "routes": []}
+
+    # 2. Find all unique routes serving these specific stops
+    placeholders = ','.join(['?'] * len(stop_ids))
+    query_routes = f"""
+        SELECT DISTINCT r.route_id, r.route_short_name, r.route_long_name, r.route_color
+        FROM routes r
+        JOIN trips t ON r.route_id = t.route_id
+        JOIN stop_times st ON t.trip_id = st.trip_id
+        WHERE CAST(st.stop_id AS VARCHAR) IN ({placeholders})
+    """
+    routes = db.execute(query_routes, stop_ids).fetchall()
+
+    return {
+        "stops": [
+            {"id": s[0], "code": s[1], "name": s[2], "lat": s[3], "lon": s[4]} 
+            for s in stops
+        ],
+        "routes": [
+            {"id": r[0], "short_name": r[1], "long_name": r[2], "color": f"#{r[3]}"} 
+            for r in routes
+        ]
+    }
+
 if __name__ == "__main__":
     import uvicorn # type: ignore
     # Start the server