new test against cache

backend/src/tests/test_utils.py

@@ -2,8 +2,10 @@
 import logging
 from typing import List
 from fastapi import HTTPException
+from pydantic import ValidationError
 
 from ..structs.landmark import Landmark
+from ..persistence import client as cache_client
 
 
 def landmarks_to_osmid(landmarks: List[Landmark]) -> List[int] :
@@ -42,18 +44,58 @@ def fetch_landmark(client, landmark_uuid: str):
     try:
         json_data = response.json()
         logger.info(f"API Response: {json_data}")
-        print(f"API Response of type {type(json_data)} in json format: {json_data}")
     except ValueError as e:
         logger.error(f"Failed to parse response as JSON: {response.text}")
         raise HTTPException(status_code=500, detail="Invalid response format from API")
+    
+    # Try validating against the Landmark model here to ensure consistency
+    try:
+        landmark = Landmark(**json_data)
+    except ValidationError as ve:
+        logging.error(f"Validation error: {ve}")
+        raise HTTPException(status_code=500, detail="Invalid data format received from API")
+    
 
     if "detail" in json_data:
         raise HTTPException(status_code=500, detail=json_data["detail"])
 
-    return json_data
+    return Landmark(**json_data)
 
 
-def load_trip_landmarks(client, first_uuid: str) -> List[Landmark]:
+def fetch_landmark_cache(landmark_uuid: str):
+    """
+    Fetch landmark data from the cache based on the landmark UUID.
+
+    Args:
+        landmark_uuid (str): The UUID of the landmark.
+
+    Returns:
+        dict: Landmark data fetched from the cache or raises an HTTP exception.
+    """
+    logger = logging.getLogger(__name__)
+
+    # Try to fetch the landmark data from the cache
+    try:
+        landmark = cache_client.get(f"landmark_{landmark_uuid}")
+        if not landmark :
+            logger.warning(f"Cache miss for landmark UUID: {landmark_uuid}")
+            raise HTTPException(status_code=404, detail=f"Landmark with UUID {landmark_uuid} not found in cache.")
+        
+        # Validate that the fetched data is a dictionary
+        if not isinstance(landmark, Landmark):
+            logger.error(f"Invalid cache data format for landmark UUID: {landmark_uuid}. Expected dict, got {type(landmark).__name__}.")
+            raise HTTPException(status_code=500, detail="Invalid cache data format.")
+
+        return landmark
+    
+    except Exception as exc:
+        logger.error(f"Unexpected error occurred while fetching landmark UUID {landmark_uuid}: {exc}")
+        raise HTTPException(status_code=500, detail="An unexpected error occurred while fetching the landmark from the cache") from exc
+    
+    
+
+
+def load_trip_landmarks(client, first_uuid: str, from_cache=None) -> List[Landmark]:
     """
     Load all landmarks for a trip using the response from the API.
 
@@ -67,14 +109,13 @@ def load_trip_landmarks(client, first_uuid: str) -> List[Landmark]:
     next_uuid = first_uuid
 
     while next_uuid is not None:
-        landmark_data = fetch_landmark(client, next_uuid)
-        # # Convert UUIDs to strings explicitly
-        # landmark_data = {
-        #     key: str(value) if isinstance(value, UUID) else value
-        #     for key, value in landmark_data.items()
-        # }
-        landmarks.append(Landmark(**landmark_data)) # Create Landmark objects
-        next_uuid = landmark_data.get('next_uuid')  # Prepare for the next iteration
+        if from_cache :
+            landmark = fetch_landmark_cache(next_uuid)
+        else :
+            landmark = fetch_landmark(client, next_uuid)
+
+        landmarks.append(landmark)
+        next_uuid = landmark.next_uuid  # Prepare for the next iteration
 
     return landmarks