Fix

cloud/APIs/edamam.py

@@ -911,15 +911,15 @@ class EdamamAPI:
             
                     """)
         
-        url = "https://api.edamam.com/api/vision/v1/nutrients"
+        url = "https://api.edamam.com/api/vision/v1/nutrients?app_id=09cb5bd7&app_key=8b2730f3c7f4f075cc939da3fa0c49fb&beta=true&servings=1"
         
         # Query parameters as specified by the YAML schema
-        params = {
-            "app_id": EDAMAM_APP_ID__FOOD,
-            "app_key": EDAMAM_APP_KEY__FOOD,
-            "beta": "true"  # Recommended since vision is in Beta
-        }
-        print("params:", params)
+        # params = {
+        #     "app_id": EDAMAM_APP_ID__FOOD,
+        #     "app_key": EDAMAM_APP_KEY__FOOD,
+        #     "beta": "true"  # Recommended since vision is in Beta
+        # }
+        # print("params:", params)
         
         # Specify the media type in the header
         headers = {
@@ -932,7 +932,7 @@ class EdamamAPI:
             
         response = requests.post(
             url, 
-            params=params, 
+            # params=params, 
             headers=headers, 
             data=raw_image_bytes
         )

cloud/microwaveDishAnalyzer.py

@@ -1,6 +1,7 @@
 import cv2
 import numpy as np
 from typing import Dict, Any, Optional
+import sys
 sys.path.insert(0, '..')
 try:
     from shared import config
@@ -80,13 +81,13 @@ class MicrowaveDishAnalyzer:
         return 0.85  # Default factor for plated meals
 
     def estimate_volume(
-        self, image_path: str, height_cm: float, food_label: str = "", config: Optional[Any] = None
+        self, image_path: str, height_cm: float, food_label: str = ""
     ) -> Dict[str, float]:
         """
         Computes total physical volume in cm³ (mL).
         Volume = Area (cm²) * Height (cm) * Shape Factor
         """
-        area_cm2 = self.calculate_surface_area_cm2(image_path, config=config)
+        area_cm2 = self.calculate_surface_area_cm2(image_path)
         k_shape = self._get_shape_factor(food_label)
         volume_cm3 = area_cm2 * height_cm * k_shape
 

orchestrateur/main.py

@@ -480,7 +480,7 @@ async def on_new_alert(alert: Alert):
         # Send the alert to the lora device
         payload = payloads.lora_new_alert(alert)
         print(f"[Alert Handling] Sending alert to LoRa device: {payload}")
-        if lora.send_reliable(payload):
+        if lora.send_reliable(payload, max_retries=7):
             microwave_states["2"].set_cooking_state(CookingStates.ALERT)
 
 # --- HARDWARE CONTROLLERS ---

shared/lora_device.py

@@ -81,7 +81,7 @@ class BaseLoraDevice:
 
         return packet
 
-    def send_reliable(self, payload, max_retries=4, ack_timeout=3.0):
+    def send_reliable(self, payload, max_retries=5, ack_timeout=3.0):
         """Sends a payload and listens in a single continuous RX window for the ACK."""
         
         with self.tx_lock: