Update main.py

main.py

@@ -633,10 +633,10 @@ def chat():
 def analyze_image():
     """
     Handles Image -> List/Product/Meal -> Shopping Data
-    AUTO-RESOLVES intent to give prices immediately.
+    AUTO-RESOLVES intent with Context-Aware Simulation.
     """
     body = request.get_json(silent=True) or {}
-    image_b64 = body.get("image_data") # Base64 string
+    image_b64 = body.get("image_data") 
     caption = body.get("caption", "")
     pid = body.get("profile_id")
     
@@ -646,6 +646,7 @@ def analyze_image():
     vision_result = gemini_analyze_image(image_b64, caption)
     img_type = vision_result.get("type", "IRRELEVANT")
     items = vision_result.get("items", [])
+    description = vision_result.get("description", "item")
     
     response_text = ""
     analyst_data = {}
@@ -655,20 +656,33 @@ def analyze_image():
         response_text = "I see the image, but I can't find any shopping items or meals in it. Try a receipt, a product, or a plate of food!"
         
     elif items:
-        # Run the Analyst Engine immediately
+        # Run the Analyst Engine
         analyst_data = calculate_basket_optimization(items)
         
-        # 3. SIMULATE INTENT
-        # Instead of asking "Do you want to search?", we simulate a user asking "Where is [item] cheapest?"
-        # This forces the Persona to look at the analyst_data and reply with the solution.
-        simulated_user_msg = f"I have a photo of {', '.join(items)}. Which store has the cheapest price for this right now?"
-        intent_sim = {"intent": "STORE_DECISION"}
+        # 3. DYNAMIC SIMULATED INTENT
+        # We vary the "user voice" so Jessica's reply matches the context.
         
+        if img_type == "MEAL":
+            # Context: "I want to cook this"
+            simulated_user_msg = f"I want to cook {description}. I need these ingredients: {', '.join(items)}. How much will it cost to make this?"
+            intent_sim = {"intent": "SHOPPING_BASKET"} # Triggers advice mode
+            
+        elif img_type == "LIST":
+            # Context: "Quote this list"
+            simulated_user_msg = f"Here is my shopping list: {', '.join(items)}. Which store is cheapest for the whole basket?"
+            intent_sim = {"intent": "STORE_DECISION"}
+            
+        else: # PRODUCT
+            # Context: "Price check"
+            simulated_user_msg = f"I see {description}. Which store has the cheapest price for it right now?"
+            intent_sim = {"intent": "STORE_DECISION"}
+        
+        # Generate Response
         response_text = gemini_chat_response(
             simulated_user_msg, 
             intent_sim, 
             analyst_data,
-            chat_history="" # No history needed for fresh lookup
+            chat_history="" # Fresh context
         )
     
     return jsonify({