Better cook parameter estimation + Defrost mode + Removed esp-wifi debugs + Orchestrator and microwave exchange

cloud/app.py

@@ -52,44 +52,57 @@ def cooking_params():
     if not data:
         return jsonify({"error": "Invalid or missing JSON payload"}), 400
 
+    # Extract user or device parameters (with fallback defaults)
+    height_cm = float(data.get("dish_height", 4.0))
+    initial_temp_c = float(data.get("ir_initial_temp", 20.0))  # e.g., 4.0 for fridge, -18.0 for freezer
+    microwave_wattage = int(data.get("microwave_wattage", 900))  # e.g., 900W
+    defrost_mode = bool(data.get("defrost_mode", False))  # True for defrost, False for cook/reheat
+    print("Received cooking parameters request:", data)
+    print("Parsed parameters - Height (cm):", height_cm, "Initial Temp (C):", initial_temp_c, "Microwave Wattage:", microwave_wattage, "Defrost Mode:", defrost_mode)
+
     # 1. Handle the Camera Image
     camera_image_b64 = data.get("camera_image")
+    filepath = None
+    
     if camera_image_b64:
-        # Generate a unique filename using UUID to avoid overwriting
         filename = f"dish_{uuid.uuid4().hex}.jpg"
         filepath = os.path.join(CAMERA_IMAGE_DIR, filename)
         
         try:
-            # Decode the base64 string and save it as a binary file
             with open(filepath, "wb") as f:
                 f.write(base64.b64decode(camera_image_b64))
             
-            # Replace the giant base64 string in the dictionary with the local file path 
-            # so we don't bloat the MongoDB document
             data["camera_image"] = filepath
             
         except Exception as e:
             return jsonify({"error": f"Failed to save camera image: {str(e)}"}), 500
+    else:
+        return jsonify({"error": "Missing required field 'camera_image'"}), 400
 
-    # 2. Save to MongoDB
+    # 2. Run the Cook Planning Engine
+    try:
+        cook_plan = microwave_cook_planner.generate_plan(
+            image_path=filepath,
+            height_cm=height_cm,
+            initial_temp_c=initial_temp_c,
+            microwave_wattage=microwave_wattage,
+            defrost_mode=defrost_mode
+        )
+    except Exception as e:
+        return jsonify({"error": f"Failed to compute cooking plan: {str(e)}"}), 500
+
+    # 3. Attach cooking parameters to database record
+    data["analysis_results"] = cook_plan
+
+    # 4. Save to MongoDB
     try:
-        # Insert the dictionary directly into Mongo (it will retain your exact JSON keys)
         cooking_collection.insert_one(data)
-        
-        # Remove the Mongo-injected '_id' object before returning the response
         data.pop("_id", None)
-        
     except Exception as e:
         return jsonify({"error": f"Database error: {str(e)}"}), 500
     
-    # 3. Returns with the cooking parameters
-    cooking_plan = microwave_cook_planner.generate_plan(
-        image_path=data.get("camera_image"),
-        height_cm=data.get("height_cm", 4.0),
-        initial_temp_c=data.get("initial_temp_c", 20.0),
-        microwave_wattage=data.get("microwave_wattage", 900)
-    )
-    return jsonify(cooking_plan), 201
+    # 5. Return complete output
+    return jsonify(cook_plan), 201
 
 @app.route("/device-network", methods=["POST"])
 def device_network():