app

app.py

@@ -288,6 +288,18 @@ def health():
         "device": device.upper()
     }
 
+@app.get("/api/nutrition/test")
+def test_nutrition_route():
+    """Test endpoint to verify routing."""
+    logger.info("🧪 TEST: /api/nutrition/test endpoint called!")
+    return {"message": "Nutrition API route is working!", "timestamp": "2025-10-31"}
+
+@app.post("/api/nutrition/test-post")
+async def test_nutrition_post():
+    """Test POST endpoint to verify routing."""
+    logger.info("🧪 TEST: /api/nutrition/test-post endpoint called!")
+    return {"message": "Nutrition API POST route is working!", "timestamp": "2025-10-31"}
+
 async def _analyze_food_internal(file: UploadFile) -> Dict[str, Any]:
     """Internal food analysis function (shared logic)."""
     # Validate file type
@@ -325,18 +337,28 @@ async def analyze_food(file: UploadFile = File(...)):
     Returns:
         JSON with food recognition results in format expected by frontend
     """
-    results = await _analyze_food_internal(file)
-    
-    # Transform to frontend-expected format
-    transformed = {
-        "label": results["primary_prediction"]["name"],  # Use readable name
-        "confidence": results["primary_prediction"]["confidence"],
-        "nutrition": results["nutrition"],
-        "source": "AI Food Recognition",
-        "alternatives": results["top_predictions"]
-    }
+    logger.info("🔥 /api/nutrition/analyze-food endpoint called!")
+    logger.info(f"📁 File received: {file.filename}, Content-Type: {file.content_type}")
     
-    return JSONResponse(content=transformed)
+    try:
+        results = await _analyze_food_internal(file)
+        logger.info(f"🔍 Internal analysis successful: {results['primary_prediction']['name']}")
+        
+        # Transform to frontend-expected format
+        transformed = {
+            "label": results["primary_prediction"]["name"],  # Use readable name
+            "confidence": results["primary_prediction"]["confidence"],
+            "nutrition": results["nutrition"],
+            "source": "AI Food Recognition",
+            "alternatives": results["top_predictions"]
+        }
+        
+        logger.info(f"✅ Returning transformed response: {transformed['label']} ({transformed['confidence']:.2%})")
+        return JSONResponse(content=transformed)
+        
+    except Exception as e:
+        logger.error(f"❌ Error in /api/nutrition/analyze-food: {e}")
+        raise
 
 @app.post("/analyze")
 async def analyze(file: UploadFile = File(...)):