feature: Added Transactions and major Order System Overhaul

backend/devices/models.py

@@ -119,7 +119,7 @@ class DeviceCreate(BaseModel):
     device_subscription: DeviceSubInformation = DeviceSubInformation()
     device_stats: DeviceStatistics = DeviceStatistics()
     events_on: bool = False
-    device_location_coordinates: str = ""
+    device_location_coordinates: Any = None  # GeoPoint dict {lat, lng} or legacy str
     device_melodies_all: List[MelodyMainItem] = []
     device_melodies_favorites: List[str] = []
     user_list: List[str] = []
@@ -144,7 +144,7 @@ class DeviceUpdate(BaseModel):
     device_subscription: Optional[Dict[str, Any]] = None
     device_stats: Optional[Dict[str, Any]] = None
     events_on: Optional[bool] = None
-    device_location_coordinates: Optional[str] = None
+    device_location_coordinates: Optional[Any] = None  # dict {lat, lng} or legacy str
     device_melodies_all: Optional[List[MelodyMainItem]] = None
     device_melodies_favorites: Optional[List[str]] = None
     user_list: Optional[List[str]] = None

backend/devices/service.py

@@ -72,7 +72,7 @@ def _convert_firestore_value(val):
         # Firestore DatetimeWithNanoseconds is a datetime subclass
         return val.strftime("%d %B %Y at %H:%M:%S UTC%z")
     if isinstance(val, GeoPoint):
-        return f"{val.latitude}° N, {val.longitude}° E"
+        return {"lat": val.latitude, "lng": val.longitude}
     if isinstance(val, DocumentReference):
         # Store the document path (e.g. "users/abc123")
         return val.path
@@ -213,6 +213,11 @@ def update_device(device_doc_id: str, data: DeviceUpdate) -> DeviceInDB:
 
     update_data = data.model_dump(exclude_none=True)
 
+    # Convert {lat, lng} dict to a Firestore GeoPoint
+    coords = update_data.get("device_location_coordinates")
+    if isinstance(coords, dict) and "lat" in coords and "lng" in coords:
+        update_data["device_location_coordinates"] = GeoPoint(coords["lat"], coords["lng"])
+
     # Deep-merge nested structs so unmentioned sub-fields are preserved
     existing = doc.to_dict()
     nested_keys = (