From 4abefa5b2922c03d59108f11c17b4ad218826293 Mon Sep 17 00:00:00 2001
From: Matthias Guillitte <matthias@guillitte.com>
Date: Mon, 10 Aug 2026 16:43:24 +0200
Subject: [PATCH] Added some error logging

---
 cloud/app.py | 131 ++++++++++++++++++++++++++-------------------------
 1 file changed, 68 insertions(+), 63 deletions(-)

diff --git a/cloud/app.py b/cloud/app.py
index f98efb6..e8f14aa 100644
--- a/cloud/app.py
+++ b/cloud/app.py
@@ -54,71 +54,76 @@ def hello_world():
 
 @app.route("/cooking-params", methods=["POST"])
 async def cooking_params():
-    data = request.get_json()
-    
-    if not data:
-        return jsonify({"error": "Invalid or missing JSON payload"}), 400
-
-    # Extract user or device parameters
-    height_cm = float(data.get("dish_height", 4.0))
-    initial_temp_c = float(data.get("ir_initial_temp", 20.0))
-    microwave_wattage = int(data.get("microwave_wattage", 900))
-    defrost_mode = bool(data.get("defrost_mode", False))
-
-    # 1. Save Camera Image
-    camera_image_b64 = data.get("camera_image")
-    if not camera_image_b64:
-        return jsonify({"error": "Missing required field 'camera_image'"}), 400
-
-    filename = f"dish_{uuid.uuid4().hex}.jpg"
-    filepath = os.path.join(CAMERA_IMAGE_DIR, filename)
-    
     try:
-        with open(filepath, "wb") as f:
-            f.write(base64.b64decode(camera_image_b64))
-        data["camera_image"] = filepath
+        data = request.get_json()
+        
+        if not data:
+            return jsonify({"error": "Invalid or missing JSON payload"}), 400
+
+        # Extract user or device parameters
+        height_cm = float(data.get("dish_height", 4.0))
+        initial_temp_c = float(data.get("ir_initial_temp", 20.0))
+        microwave_wattage = int(data.get("microwave_wattage", 900))
+        defrost_mode = bool(data.get("defrost_mode", False))
+
+        # 1. Save Camera Image
+        camera_image_b64 = data.get("camera_image")
+        if not camera_image_b64:
+            return jsonify({"error": "Missing required field 'camera_image'"}), 400
+
+        filename = f"dish_{uuid.uuid4().hex}.jpg"
+        filepath = os.path.join(CAMERA_IMAGE_DIR, filename)
+        
+        try:
+            with open(filepath, "wb") as f:
+                f.write(base64.b64decode(camera_image_b64))
+            data["camera_image"] = filepath
+        except Exception as e:
+            print(f"[Error] Failed to save camera image: {str(e)}")
+            return jsonify({"error": f"Failed to save camera image: {str(e)}"}), 500
+
+        # 2. Run Vision Safety Check & Cook Planner Concurrently
+        try:
+            safety_task = asyncio.to_thread(safety_checker.check_dish_safety, filepath)
+            planner_task = asyncio.to_thread(
+                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
+            )
+
+            # Execute both concurrently and await results
+            safety_result, cook_plan = await asyncio.gather(safety_task, planner_task)
+
+        except Exception as e:
+            print(f"[Error] Exception during safety check or cook planning: {str(e)}")
+            return jsonify({"error": f"Task execution failed: {str(e)}"}), 500
+
+        # 3. Evaluate Safety Result
+        data["safety_check"] = safety_result
+        if not safety_result.get("is_safe", True):
+            print(f"[Safety Warning] Unsafe dish detected: {safety_result}")
+            return jsonify({
+                "error": "Safety hazard detected in microwave area",
+                "is_safe": False,
+                "warning": safety_result.get("warning_message", "Unsafe materials detected."),
+                "detected_hazards": safety_result.get("detected_hazards", [])
+            }), 200
+
+        # 4. Attach Cooking Plan & Save to MongoDB
+        data["analysis_results"] = cook_plan
+
+        try:
+            cooking_collection.insert_one(data)
+            data.pop("_id", None)
+        except Exception as e:
+            return jsonify({"error": f"Database error: {str(e)}"}), 500
+
+        return jsonify(cook_plan), 201
     except Exception as e:
-        return jsonify({"error": f"Failed to save camera image: {str(e)}"}), 500
-
-    # 2. Run Vision Safety Check & Cook Planner Concurrently
-    try:
-        safety_task = asyncio.to_thread(safety_checker.check_dish_safety, filepath)
-        planner_task = asyncio.to_thread(
-            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
-        )
-
-        # Execute both concurrently and await results
-        safety_result, cook_plan = await asyncio.gather(safety_task, planner_task)
-
-    except Exception as e:
-        return jsonify({"error": f"Task execution failed: {str(e)}"}), 500
-
-    # 3. Evaluate Safety Result
-    data["safety_check"] = safety_result
-    if not safety_result.get("is_safe", True):
-        print(f"[Safety Warning] Unsafe dish detected: {safety_result}")
-        return jsonify({
-            "error": "Safety hazard detected in microwave area",
-            "is_safe": False,
-            "warning": safety_result.get("warning_message", "Unsafe materials detected."),
-            "detected_hazards": safety_result.get("detected_hazards", [])
-        }), 200
-
-    # 4. Attach Cooking Plan & Save to MongoDB
-    data["analysis_results"] = cook_plan
-
-    try:
-        cooking_collection.insert_one(data)
-        data.pop("_id", None)
-    except Exception as e:
-        return jsonify({"error": f"Database error: {str(e)}"}), 500
-
-    return jsonify(cook_plan), 201
+        print(f"[Error] Exception in /cooking-params: {str(e)}")
 
 @app.route("/telemetry", methods=["POST"])
 def telemetry():