TG-35: Equip Llama 3.1 8B with local SQL RAG lookup tools for verified nutritional context

main.py

@@ -53,6 +53,70 @@ async def get_current_user(authorization: Optional[str] = Header(None)):
 OLLAMA_URL = "http://localhost:11434/api/chat"
 MODEL_NAME = "llama3.1:8b"
 
+# Common stopwords to strip before searching the food database
+_STOPWORDS = {
+    'how', 'many', 'much', 'calories', 'does', 'have', 'has', 'is', 'are', 
+    'in', 'the', 'a', 'an', 'of', 'for', 'with', 'what', 'tell', 'me',
+    'about', 'nutritional', 'value', 'nutrition', 'macro', 'macros',
+    'protein', 'fat', 'carbs', 'fiber', 'can', 'you', 'i', 'want', 'need',
+    'eat', 'eating', 'food', 'meal', 'diet', 'healthy', 'make', 'cook',
+    'recipe', 'per', '100g', 'gram', 'grams', 'serving'
+}
+
+def extract_food_context(messages: list) -> str | None:
+    """Scan the last user message for food keywords and enrich with local DB data."""
+    # Find the last user message
+    last_user_msg = None
+    for msg in reversed(messages):
+        role = msg.get('role', '') if isinstance(msg, dict) else msg.role
+        content = msg.get('content', '') if isinstance(msg, dict) else msg.content
+        if role == 'user':
+            last_user_msg = content
+            break
+    
+    if not last_user_msg:
+        return None
+    
+    # Extract meaningful keywords by removing stopwords
+    words = last_user_msg.lower().replace('?', '').replace(',', '').split()
+    keywords = [w for w in words if w not in _STOPWORDS and len(w) > 2]
+    
+    if not keywords:
+        return None
+    
+    # Try each keyword against the local food database, collect unique results
+    found_items = {}
+    for kw in keywords[:5]:  # Limit to first 5 keywords for performance
+        results = search_foods_by_name(kw, limit=3)
+        for item in results:
+            if item['name'] not in found_items:
+                found_items[item['name']] = item
+        if len(found_items) >= 5:
+            break
+    
+    if not found_items:
+        return None
+    
+    # Build a structured context block for the system prompt
+    lines = [
+        "[LocalFoodAI Database Context]",
+        "The user's question relates to foods found in the local verified nutritional database.",
+        "Use ONLY the following data for specific nutritional values (per 100g serving):",
+        ""
+    ]
+    for item in found_items.values():
+        line = (
+            f"- {item['name']}: {item['calories']} kcal | "
+            f"Protein: {item['protein_g']}g | Fat: {item['fat_g']}g | "
+            f"Carbs: {item['carbs_g']}g | Fiber: {item['fiber_g']}g | "
+            f"Sodium: {item['sodium_mg']}mg"
+        )
+        lines.append(line)
+    
+    lines.append("")
+    lines.append("Always prioritize this local database data over your training memory for these specific foods.")
+    return "\n".join(lines)
+
 # Mount static files to serve the frontend
 app.mount("/static", StaticFiles(directory="static"), name="static")
 
@@ -109,10 +173,21 @@ async def logout(authorization: Optional[str] = Header(None)):
 
 @app.post("/chat")
 async def chat_endpoint(request: ChatRequest, current_user: dict = Depends(get_current_user)):
-    """Proxy chat requests to the local Ollama instance with streaming support"""
+    """Proxy chat requests to the local Ollama instance with streaming support.
+    Automatically enriches prompts with verified local SQLite nutritional data.
+    """
+    messages = [msg.model_dump() for msg in request.messages]
+    
+    # --- TG-35: Local SQL RAG Enrichment ---
+    db_context = extract_food_context(messages)
+    if db_context:
+        logger.info(f"[RAG] Injecting local DB context for user '{current_user['username']}'")
+        # Prepend as a system message so it acts as grounded knowledge
+        messages = [{"role": "system", "content": db_context}] + messages
+    
     payload = {
         "model": MODEL_NAME,
-        "messages": [msg.model_dump() for msg in request.messages],
+        "messages": messages,
         "stream": True  # Enable streaming for a better UI experience
     }
     

nutrition.csv

@@ -1,143 +1,143 @@
 name,calories,protein,fat,carbohydrate,fiber,sugar,sodium
-Chicken Breast (Raw),120,22.5,2.6,0,0,0,45
-Chicken Thigh (Raw),153,17.4,9.3,0,0,0,77
-Chicken Drumstick (Raw),143,18.5,7.4,0,0,0,82
-Ground Beef (80% Lean),254,17.2,20,0,0,0,66
-Ground Beef (95% Lean),152,21.4,7,0,0,0,75
-Beef Steak (Sirloin),207,26.1,11,0,0,0,57
-Beef Ribeye,291,24.4,20.7,0,0,0,68
-Pork Loin (Raw),165,22.2,8.2,0,0,0,55
-Pork Chop,187,21.6,10.6,0,0,0,62
-Bacon (Cooked),541,37,42,1.4,0,0,1717
-Ham (Cooked),163,21.5,7.9,1.3,0,1,1203
-Turkey Breast (Raw),104,23.1,1.2,0,0,0,56
-Turkey Ground,218,22,14,0,0,0,80
-Lamb Chop,294,19.9,23.4,0,0,0,72
-Tuna (Canned in Water),116,25.5,1,0,0,0,333
-Tuna (Fresh, Raw),144,23.3,4.9,0,0,0,47
-Salmon (Raw),208,20,13,0,0,0,59
-Salmon (Smoked),117,18.3,4.3,0,0,0,784
-Sardines (Canned),208,24.6,11.5,0,0,0,505
-Shrimp (Raw),99,20.3,1.7,0.2,0,0,111
-Cod (Raw),82,17.8,0.7,0,0,0,54
-Tilapia (Raw),96,20.1,2,0,0,0,56
-Mackerel (Raw),205,18.6,13.9,0,0,0,83
-Halibut (Raw),111,20.8,2.3,0,0,0,54
-Sea Bass (Raw),124,23.6,2.6,0,0,0,68
-Shrimp (Cooked),99,20.9,1.1,0.9,0,0,943
-Tofu (Firm),144,15.8,8.7,2.8,2.3,0.6,14
-Tofu (Silken),55,4.8,2.7,2.4,0.1,0.4,8
-Eggs (Whole),143,12.6,9.5,0.7,0,0.4,142
-Egg Whites,52,10.9,0.2,0.7,0,0.7,166
-Egg Yolk,322,15.9,26.5,3.6,0,0.6,48
-Tempeh,193,18.5,10.8,9.4,0,0,9
-Edamame,121,11.9,5.2,8.9,5.2,2.2,6
-White Rice (Cooked),130,2.7,0.3,28.2,0.4,0.1,1
-Brown Rice (Cooked),111,2.6,0.9,23,1.8,0.4,5
-Basmati Rice (Cooked),121,2.5,0.4,25.2,0.4,0,1
-Jasmine Rice (Cooked),129,2.9,0.4,27.6,0.3,0,1
-Pasta (Cooked),131,5.2,1.2,25,1.2,0.6,6
-Pasta (Whole Wheat, Cooked),124,5.3,0.5,26.5,3.9,0.5,4
-Spaghetti (Cooked),158,5.8,0.9,30.6,1.8,0.6,1
-Sweet Potato (Baked),90,2,0.1,20.7,3.3,4.2,36
-Potato (Baked),93,2.5,0.1,21.2,2.2,1.2,10
-Potato (Boiled),77,1.9,0.1,17.8,1.8,0.8,5
-French Fries,312,3.4,15,41,3.8,0,210
-Oats (Rolled),389,16.9,6.9,66.3,10.6,0,2
-Quinoa (Cooked),120,4.4,1.9,21.3,2.8,0.9,7
-Lentils (Cooked),116,9,0.4,20.1,7.9,1.8,2
-Black Beans (Cooked),132,8.9,0.5,23.7,8.7,0.3,1
-Chickpeas (Cooked),164,8.9,2.6,27.4,7.6,4.8,7
-Kidney Beans (Cooked),127,8.7,0.5,22.8,6.4,0.3,2
-Green Lentils (Cooked),116,9,0.4,20.1,7.9,1.8,2
-Split Peas (Cooked),116,8.3,0.4,20.8,8.1,2.8,2
-Pinto Beans (Cooked),143,9.5,0.6,26.2,7.4,0.2,283
-White Beans (Cooked),139,9.7,0.4,25,6.3,0.3,2
-Broccoli,34,2.8,0.4,6.6,2.6,1.7,33
-Spinach,23,2.9,0.4,3.6,2.2,0.4,79
-Kale,49,4.3,0.9,8.8,3.6,2.3,38
-Asparagus,20,2.2,0.1,3.9,2.1,1.9,2
-Carrots,41,0.9,0.2,9.6,2.8,4.7,69
-Bell Pepper (Red),31,1,0.3,6,2.1,4.2,4
-Bell Pepper (Green),20,0.9,0.2,4.6,1.7,2.4,3
-Tomato,18,0.9,0.2,3.9,1.2,2.6,5
-Cherry Tomato,18,0.9,0.2,3.9,1.2,2.6,5
-Onion,40,1.1,0.1,9.3,1.7,4.2,4
-Garlic,149,6.4,0.5,33.1,2.1,1,15
-Cucumber,15,0.7,0.1,3.6,0.5,1.7,2
-Zucchini,17,1.2,0.3,3.1,1,2.5,8
-Eggplant,25,1,0.2,5.9,3,3.5,2
-Mushrooms (Button),22,3.1,0.3,3.3,1,2,5
-Mushrooms (Shiitake),39,2.2,0.5,7.7,2.5,2.4,6
-Celery,16,0.7,0.2,3,1.6,1.3,80
-Cauliflower,25,2,0.3,5,2,2,30
-Brussels Sprouts,43,3.4,0.3,8.9,3.8,2.2,25
-Green Beans,31,1.8,0.2,7,2.7,1.4,6
-Corn (Sweet),86,3.3,1.4,19,2.7,6.3,15
-Peas (Green),81,5.4,0.4,14.5,5.1,5.7,5
-Lettuce (Romaine),17,1.2,0.3,3.3,2.1,1.5,8
-Lettuce (Iceberg),14,0.9,0.1,2.9,1.3,2,10
-Cabbage,25,1.3,0.1,5.8,2.5,3.2,18
-Beetroot,43,1.6,0.2,9.6,2.8,6.8,78
-Apple,52,0.3,0.2,13.8,2.4,10.4,1
-Banana,89,1.1,0.3,22.8,2.6,12.2,1
-Orange,47,0.9,0.1,11.8,2.4,9.4,0
-Strawberry,32,0.7,0.3,7.7,2,4.9,1
-Blueberry,57,0.7,0.3,14.5,2.4,9.9,1
-Raspberry,52,1.2,0.7,11.9,6.5,4.4,1
-Blackberry,43,1.4,0.5,9.6,5.3,4.9,1
-Mango,60,0.8,0.4,15,1.6,13.7,1
-Pineapple,50,0.5,0.1,13.1,1.4,9.9,1
-Watermelon,30,0.6,0.2,7.6,0.4,6.2,1
-Grapes,69,0.7,0.2,18.1,0.9,15.5,2
-Peach,39,0.9,0.3,9.5,1.5,8.4,0
-Pear,57,0.4,0.1,15.2,3.1,9.8,1
-Kiwi,61,1.1,0.5,14.7,3,9,3
-Avocado,160,2,14.7,8.5,6.7,0.7,7
-Lemon,29,1.1,0.3,9.3,2.8,2.5,2
-Lime,30,0.7,0.2,10.5,2.8,1.7,2
-Coconut (Raw),354,3.3,33.5,15.2,9,6.2,20
-Almonds,579,21.2,49.9,21.7,12.5,4.4,1
-Walnuts,654,15.2,65.2,13.7,6.7,2.6,2
-Cashews,553,18.2,43.9,30.2,3.3,5.9,12
-Peanuts,567,25.8,49.2,16.1,8.5,4.7,18
-Pistachios,562,20.2,45.4,27.7,10.3,7.7,0
-Pumpkin Seeds,559,30.2,49,10.7,6,1.4,7
-Sunflower Seeds,584,20.8,51.5,20,8.6,2.6,3
-Chia Seeds,486,16.5,30.7,42.1,34.4,0,16
-Flaxseeds,534,18.3,42.2,28.9,27.3,1.5,30
-Hemp Seeds,553,31.6,48.7,8.7,4,1.5,5
-Peanut Butter,588,25.1,50.4,20,6,9.9,17
-Almond Butter,614,21,55.5,18.8,10.3,4.4,2
-Olive Oil,884,0,100,0,0,0,2
-Coconut Oil,862,0,100,0,0,0,0
-Butter,717,0.8,81.1,0.1,0,0.1,11
-Whole Milk,61,3.2,3.3,4.8,0,5.1,43
-Skimmed Milk,34,3.4,0.1,4.9,0,5.1,44
-Soy Milk,33,2.9,1.8,1.7,0.1,0.3,41
-Almond Milk,13,0.4,1,0.3,0.3,0,61
-Greek Yogurt (Plain),59,10.3,0.4,3.6,0,3.2,36
-Yogurt (Natural),61,3.5,3.3,4.7,0,4.7,46
-Cheddar Cheese,403,24.9,33.1,1.3,0,0.5,621
-Mozzarella,280,28.1,17,2.2,0,1,16
-Parmesan,431,38.5,28.6,4.1,0,0.8,1529
-Cottage Cheese,98,11.1,4.3,3.4,0,2.7,364
-Cream Cheese,342,5.9,34.2,4.1,0,2.7,321
-Bread (White),266,8.9,3.3,50.6,2.7,4.3,491
-Bread (Whole Wheat),247,11,3.4,42.7,7,6.2,400
-Sourdough Bread,289,8.5,1.6,58.1,1.5,1.6,571
-Tortilla (Flour),312,7.9,7.2,49.7,2.5,2.3,630
-Crackers (Whole Wheat),432,11,14,68.5,7.8,2.7,723
-Granola,471,10.3,19.8,64.1,5.6,21.9,31
-Cornflakes,357,8,0.8,79.9,2,7.7,802
-Oatmeal (Cooked),68,2.4,1.4,12,2,0.5,49
-Chocolate (Dark 70%),598,7.8,42.6,45.9,10.9,24,20
-Honey,304,0.3,0,82.4,0.2,82.1,4
-Sugar,387,0,0,100,0,100,1
-Olive (Black),116,0.8,10.9,6.3,3.2,0,735
-Hummus,177,7.9,9.6,14.3,6,0.5,379
-Salsa,36,1.8,0.1,7.8,2,4.3,479
-Ketchup,101,1.4,0.2,26.1,0.3,22.4,907
-Mayonnaise,680,0.9,75,0.6,0,0.5,635
-Mustard,66,3.7,3.7,5.3,3.7,0.9,1135
-Soy Sauce,53,8.1,0.1,4.9,0.8,0.9,5493
+"Chicken Breast (Raw)",120,22.5,2.6,0,0,0,45
+"Chicken Thigh (Raw)",153,17.4,9.3,0,0,0,77
+"Chicken Drumstick (Raw)",143,18.5,7.4,0,0,0,82
+"Ground Beef (80% Lean)",254,17.2,20,0,0,0,66
+"Ground Beef (95% Lean)",152,21.4,7,0,0,0,75
+"Beef Steak (Sirloin)",207,26.1,11,0,0,0,57
+"Beef Ribeye",291,24.4,20.7,0,0,0,68
+"Pork Loin (Raw)",165,22.2,8.2,0,0,0,55
+"Pork Chop",187,21.6,10.6,0,0,0,62
+"Bacon (Cooked)",541,37,42,1.4,0,0,1717
+"Ham (Cooked)",163,21.5,7.9,1.3,0,1,1203
+"Turkey Breast (Raw)",104,23.1,1.2,0,0,0,56
+"Turkey Ground",218,22,14,0,0,0,80
+"Lamb Chop",294,19.9,23.4,0,0,0,72
+"Tuna (Canned in Water)",116,25.5,1,0,0,0,333
+"Tuna (Fresh, Raw)",144,23.3,4.9,0,0,0,47
+"Salmon (Raw)",208,20,13,0,0,0,59
+"Salmon (Smoked)",117,18.3,4.3,0,0,0,784
+"Sardines (Canned)",208,24.6,11.5,0,0,0,505
+"Shrimp (Raw)",99,20.3,1.7,0.2,0,0,111
+"Cod (Raw)",82,17.8,0.7,0,0,0,54
+"Tilapia (Raw)",96,20.1,2,0,0,0,56
+"Mackerel (Raw)",205,18.6,13.9,0,0,0,83
+"Halibut (Raw)",111,20.8,2.3,0,0,0,54
+"Sea Bass (Raw)",124,23.6,2.6,0,0,0,68
+"Shrimp (Cooked)",99,20.9,1.1,0.9,0,0,943
+"Tofu (Firm)",144,15.8,8.7,2.8,2.3,0.6,14
+"Tofu (Silken)",55,4.8,2.7,2.4,0.1,0.4,8
+"Eggs (Whole)",143,12.6,9.5,0.7,0,0.4,142
+"Egg Whites",52,10.9,0.2,0.7,0,0.7,166
+"Egg Yolk",322,15.9,26.5,3.6,0,0.6,48
+"Tempeh",193,18.5,10.8,9.4,0,0,9
+"Edamame",121,11.9,5.2,8.9,5.2,2.2,6
+"White Rice (Cooked)",130,2.7,0.3,28.2,0.4,0.1,1
+"Brown Rice (Cooked)",111,2.6,0.9,23,1.8,0.4,5
+"Basmati Rice (Cooked)",121,2.5,0.4,25.2,0.4,0,1
+"Jasmine Rice (Cooked)",129,2.9,0.4,27.6,0.3,0,1
+"Pasta (Cooked)",131,5.2,1.2,25,1.2,0.6,6
+"Pasta (Whole Wheat, Cooked)",124,5.3,0.5,26.5,3.9,0.5,4
+"Spaghetti (Cooked)",158,5.8,0.9,30.6,1.8,0.6,1
+"Sweet Potato (Baked)",90,2,0.1,20.7,3.3,4.2,36
+"Potato (Baked)",93,2.5,0.1,21.2,2.2,1.2,10
+"Potato (Boiled)",77,1.9,0.1,17.8,1.8,0.8,5
+"French Fries",312,3.4,15,41,3.8,0,210
+"Oats (Rolled)",389,16.9,6.9,66.3,10.6,0,2
+"Quinoa (Cooked)",120,4.4,1.9,21.3,2.8,0.9,7
+"Lentils (Cooked)",116,9,0.4,20.1,7.9,1.8,2
+"Black Beans (Cooked)",132,8.9,0.5,23.7,8.7,0.3,1
+"Chickpeas (Cooked)",164,8.9,2.6,27.4,7.6,4.8,7
+"Kidney Beans (Cooked)",127,8.7,0.5,22.8,6.4,0.3,2
+"Green Lentils (Cooked)",116,9,0.4,20.1,7.9,1.8,2
+"Split Peas (Cooked)",116,8.3,0.4,20.8,8.1,2.8,2
+"Pinto Beans (Cooked)",143,9.5,0.6,26.2,7.4,0.2,283
+"White Beans (Cooked)",139,9.7,0.4,25,6.3,0.3,2
+"Broccoli",34,2.8,0.4,6.6,2.6,1.7,33
+"Spinach",23,2.9,0.4,3.6,2.2,0.4,79
+"Kale",49,4.3,0.9,8.8,3.6,2.3,38
+"Asparagus",20,2.2,0.1,3.9,2.1,1.9,2
+"Carrots",41,0.9,0.2,9.6,2.8,4.7,69
+"Bell Pepper (Red)",31,1,0.3,6,2.1,4.2,4
+"Bell Pepper (Green)",20,0.9,0.2,4.6,1.7,2.4,3
+"Tomato",18,0.9,0.2,3.9,1.2,2.6,5
+"Cherry Tomato",18,0.9,0.2,3.9,1.2,2.6,5
+"Onion",40,1.1,0.1,9.3,1.7,4.2,4
+"Garlic",149,6.4,0.5,33.1,2.1,1,15
+"Cucumber",15,0.7,0.1,3.6,0.5,1.7,2
+"Zucchini",17,1.2,0.3,3.1,1,2.5,8
+"Eggplant",25,1,0.2,5.9,3,3.5,2
+"Mushrooms (Button)",22,3.1,0.3,3.3,1,2,5
+"Mushrooms (Shiitake)",39,2.2,0.5,7.7,2.5,2.4,6
+"Celery",16,0.7,0.2,3,1.6,1.3,80
+"Cauliflower",25,2,0.3,5,2,2,30
+"Brussels Sprouts",43,3.4,0.3,8.9,3.8,2.2,25
+"Green Beans",31,1.8,0.2,7,2.7,1.4,6
+"Corn (Sweet)",86,3.3,1.4,19,2.7,6.3,15
+"Peas (Green)",81,5.4,0.4,14.5,5.1,5.7,5
+"Lettuce (Romaine)",17,1.2,0.3,3.3,2.1,1.5,8
+"Lettuce (Iceberg)",14,0.9,0.1,2.9,1.3,2,10
+"Cabbage",25,1.3,0.1,5.8,2.5,3.2,18
+"Beetroot",43,1.6,0.2,9.6,2.8,6.8,78
+"Apple",52,0.3,0.2,13.8,2.4,10.4,1
+"Banana",89,1.1,0.3,22.8,2.6,12.2,1
+"Orange",47,0.9,0.1,11.8,2.4,9.4,0
+"Strawberry",32,0.7,0.3,7.7,2,4.9,1
+"Blueberry",57,0.7,0.3,14.5,2.4,9.9,1
+"Raspberry",52,1.2,0.7,11.9,6.5,4.4,1
+"Blackberry",43,1.4,0.5,9.6,5.3,4.9,1
+"Mango",60,0.8,0.4,15,1.6,13.7,1
+"Pineapple",50,0.5,0.1,13.1,1.4,9.9,1
+"Watermelon",30,0.6,0.2,7.6,0.4,6.2,1
+"Grapes",69,0.7,0.2,18.1,0.9,15.5,2
+"Peach",39,0.9,0.3,9.5,1.5,8.4,0
+"Pear",57,0.4,0.1,15.2,3.1,9.8,1
+"Kiwi",61,1.1,0.5,14.7,3,9,3
+"Avocado",160,2,14.7,8.5,6.7,0.7,7
+"Lemon",29,1.1,0.3,9.3,2.8,2.5,2
+"Lime",30,0.7,0.2,10.5,2.8,1.7,2
+"Coconut (Raw)",354,3.3,33.5,15.2,9,6.2,20
+"Almonds",579,21.2,49.9,21.7,12.5,4.4,1
+"Walnuts",654,15.2,65.2,13.7,6.7,2.6,2
+"Cashews",553,18.2,43.9,30.2,3.3,5.9,12
+"Peanuts",567,25.8,49.2,16.1,8.5,4.7,18
+"Pistachios",562,20.2,45.4,27.7,10.3,7.7,0
+"Pumpkin Seeds",559,30.2,49,10.7,6,1.4,7
+"Sunflower Seeds",584,20.8,51.5,20,8.6,2.6,3
+"Chia Seeds",486,16.5,30.7,42.1,34.4,0,16
+"Flaxseeds",534,18.3,42.2,28.9,27.3,1.5,30
+"Hemp Seeds",553,31.6,48.7,8.7,4,1.5,5
+"Peanut Butter",588,25.1,50.4,20,6,9.9,17
+"Almond Butter",614,21,55.5,18.8,10.3,4.4,2
+"Olive Oil",884,0,100,0,0,0,2
+"Coconut Oil",862,0,100,0,0,0,0
+"Butter",717,0.8,81.1,0.1,0,0.1,11
+"Whole Milk",61,3.2,3.3,4.8,0,5.1,43
+"Skimmed Milk",34,3.4,0.1,4.9,0,5.1,44
+"Soy Milk",33,2.9,1.8,1.7,0.1,0.3,41
+"Almond Milk",13,0.4,1,0.3,0.3,0,61
+"Greek Yogurt (Plain)",59,10.3,0.4,3.6,0,3.2,36
+"Yogurt (Natural)",61,3.5,3.3,4.7,0,4.7,46
+"Cheddar Cheese",403,24.9,33.1,1.3,0,0.5,621
+"Mozzarella",280,28.1,17,2.2,0,1,16
+"Parmesan",431,38.5,28.6,4.1,0,0.8,1529
+"Cottage Cheese",98,11.1,4.3,3.4,0,2.7,364
+"Cream Cheese",342,5.9,34.2,4.1,0,2.7,321
+"Bread (White)",266,8.9,3.3,50.6,2.7,4.3,491
+"Bread (Whole Wheat)",247,11,3.4,42.7,7,6.2,400
+"Sourdough Bread",289,8.5,1.6,58.1,1.5,1.6,571
+"Tortilla (Flour)",312,7.9,7.2,49.7,2.5,2.3,630
+"Crackers (Whole Wheat)",432,11,14,68.5,7.8,2.7,723
+"Granola",471,10.3,19.8,64.1,5.6,21.9,31
+"Cornflakes",357,8,0.8,79.9,2,7.7,802
+"Oatmeal (Cooked)",68,2.4,1.4,12,2,0.5,49
+"Chocolate (Dark 70%)",598,7.8,42.6,45.9,10.9,24,20
+"Honey",304,0.3,0,82.4,0.2,82.1,4
+"Sugar",387,0,0,100,0,100,1
+"Olive (Black)",116,0.8,10.9,6.3,3.2,0,735
+"Hummus",177,7.9,9.6,14.3,6,0.5,379
+"Salsa",36,1.8,0.1,7.8,2,4.3,479
+"Ketchup",101,1.4,0.2,26.1,0.3,22.4,907
+"Mayonnaise",680,0.9,75,0.6,0,0.5,635
+"Mustard",66,3.7,3.7,5.3,3.7,0.9,1135
+"Soy Sauce",53,8.1,0.1,4.9,0.8,0.9,5493