chore: minor changes for bmsce hackathon

Author: areebahmeddd

instructions/lumi_instructions.md

@@ -36,7 +36,7 @@ You are Lumi, an intelligent product nutrient analyzer. Your role is to categori
 
 3. **Health Risk Identification**:
    - If the product data contains an `ingredients` key, analyze the ingredients for potential health risks.
-   - Identify potential health risks based on the user's health profile, including medical conditions and allergies.
+   - Identify potential health risks based on the user's health profile, including allergies and medical conditions.
    - Provide the output as a Python list of possible high-risk issues under **ingredient_warnings**, with concise and specific reasoning.
    - Skip nutrient categorization if the `ingredients` key is the **only** key present, and do not proceed to step 2.
 

metadata/food_categories.json

@@ -64,7 +64,11 @@
   ],
   "Nuts": ["Cashew Nuts"],
   "Oil": ["Cotton Seed Oil", "Hydrogenated Vegetable Oil", "Rapeseed Oil"],
-  "Palm-Oil": ["Edible Palm Vegetable Oil", "Edible Vegetable Oil", "Vegetable Oil Palm Oil"],
+  "Palm-Oil": [
+    "Edible Palm Vegetable Oil",
+    "Edible Vegetable Oil",
+    "Vegetable Oil Palm Oil"
+  ],
   "Protein": ["Proteins"],
   "Rice": ["Rice Meal"],
   "Salt": [

server/database.py

@@ -113,7 +113,7 @@ def runtime_error(function_name: str, error_message: str, **kwargs) -> None:
 
         print(f'[Database] Error logged for "{function_name}": {error_message}')
     except Exception as exc:
-        runtime_error('runtime_error', str(exc), function_name=function_name, error_message=error_message, **kwargs)
+        runtime_error('runtime_error', str(exc), function_name=function_name, error_message=error_message)
         return {'error': 'Firestore storage error: ' + str(exc)}, 500
 
 def register_user_profile(email: str, password: str) -> None:

server/models.py

@@ -37,8 +37,8 @@ def __init__(self, age: int = None, gender: str = None, height: float = None,
         self.height = height
         self.weight = weight
         self.body_mass_index = body_mass_index or calculate_bmi(weight, height)
-        self.dietary_preferences = dietary_preferences or []
         self.allergies = allergies or []
+        self.dietary_preferences = dietary_preferences or []
         self.medical_conditions = medical_conditions or []
 
     def to_dict(self) -> dict:
@@ -48,8 +48,8 @@ def to_dict(self) -> dict:
             'height': self.height,
             'weight': self.weight,
             'body_mass_index': self.body_mass_index,
-            'dietary_preferences': self.dietary_preferences,
             'allergies': self.allergies,
+            'dietary_preferences': self.dietary_preferences,
             'medical_conditions': self.medical_conditions
         }
 

server/user.py

@@ -53,10 +53,10 @@ def update_profile() -> Response:
             update_data['health_profile.height'] = height
         if (weight := request.json.get('weight')) not in [None, '']:
             update_data['health_profile.weight'] = weight
-        if (dietary_preferences := request.json.get('dietary_preferences')) not in [None, '']:
-            update_data['health_profile.dietary_preferences'] = dietary_preferences
         if (allergies := request.json.get('allergies')) not in [None, '']:
             update_data['health_profile.allergies'] = allergies
+        if (dietary_preferences := request.json.get('dietary_preferences')) not in [None, '']:
+            update_data['health_profile.dietary_preferences'] = dietary_preferences
         if (medical_conditions := request.json.get('medical_conditions')) not in [None, '']:
             update_data['health_profile.medical_conditions'] = medical_conditions
 
@@ -88,8 +88,8 @@ def health_profile() -> Response:
             gender=request.json.get('gender'),
             height=request.json.get('height'),
             weight=request.json.get('weight'),
-            dietary_preferences=request.json.get('dietary_preferences'),
             allergies=request.json.get('allergies'),
+            dietary_preferences=request.json.get('dietary_preferences'),
             medical_conditions=request.json.get('medical_conditions')
         )