Update app/api/routes.py

app/api/routes.py

@@ -151,54 +151,76 @@ async def handle_analyze_food_image():
     try:
         if 'image' not in request.files:
             return jsonify({"error": "No image file provided"}), 400
-            
-        file = request.files['image']
+        
+        file = request. files['image']
         if file.filename == '':
             return jsonify({"error": "No selected file"}), 400
         
         print("Analyzing Food Image...", file=sys.stderr)
         description = image_query.analyze_food_image(file)
-        
         print(f"Image Description: {description[:50]}...", file=sys.stderr)
+        
+        # 🔥 ADD MORE LOGGING HERE
+        print(f"Full Image Description: {description}", file=sys.stderr)
+        
         extracted_info = extraction.extract_recipe_attributes(description)
-
+        
+        # 🔥 LOG THE EXTRACTION RESULT
+        print(f"Extraction Result: {extracted_info}", file=sys.stderr)
+        
         if 'error' in extracted_info:
-            return jsonify(extracted_info), 500
-            
+            # 🔥 DON'T STOP - CONTINUE WITH EMPTY VALUES
+            print(f"Extraction warning (continuing anyway): {extracted_info}", file=sys.stderr)
+            extracted_info = {
+                "category": "",
+                "calories": None,
+                "time": None,
+                "keywords": description.split(', ')[: 5],  # Use first 5 words from description
+                "keywords_name": description.split(', ')[:3],
+                "ingredients": description.split(', ')
+            }
+        
         feature_weights_extract = {
-            'ingredients': 0.50, 'category': 0.0, 'dietary': 0.0,
-            'calories': 0.0, 'time': 0.0, 'keywords': 0.40, 'keywords_name': 0.10
+            'ingredients': 0.50,
+            'category': 0.0,
+            'dietary':  0.0,
+            'calories': 0.0,
+            'time': 0.0,
+            'keywords': 0.40,
+            'keywords_name':  0.10
         }
-
+        
         category = extracted_info.get('category', '')
         calories = extracted_info.get('calories', None)
-        time = extracted_info.get('time', None)
+        time = extracted_info. get('time', None)
         keywords = extracted_info.get('keywords', [])
         keywords_name = extracted_info.get('keywords_name', [])
         ingredients = extracted_info.get('ingredients', [])
-
+        
         try:
             calories = int(calories) if calories else None
             time = int(time) if time else None
         except (ValueError, TypeError):
-            return jsonify({"error": "Invalid calories or time value"}), 400
-
+            calories = None
+            time = None
+        
+        print("Calling Recommendation System...", file=sys.stderr)
         recommendations = await current_app.recommendation_system.get_recommendations(
             category=category,
-            ingredients=ingredients, 
+            ingredients=ingredients,
             calories=calories,
             time=time,
             keywords=keywords,
             keywords_name=keywords_name,
             feature_weights=feature_weights_extract
         )
-
+        
         log_memory("End Image")
         recipe_list = [vars(recipe) for recipe in recommendations]
         return jsonify(recipe_list)
         
     except Exception as e:
-        print("!!! CRITICAL ERROR IN IMAGE ANALYSIS !!!", file=sys.stderr)
+        print("! !!  CRITICAL ERROR IN IMAGE ANALYSIS !! !", file=sys.stderr)
         traceback.print_exc(file=sys.stderr)
         return jsonify({"error": str(e)}), 500