Input path: /home/debian/html/nutritwin/output_llm/6628c36dce1b6/input.json
Output path: /home/debian/html/nutritwin/output_llm/6628c36dce1b6/output.json
Input text: How many calories in a Pizza ?
DB path: __deriveddata__/DerivedObjects/Data/KcalMeDB_fr.sl3
Picto path: __deriveddata__/DerivedObjects/Data/PictoMatcherNetNG_fr.json
Sport grounding path: __deriveddata__/DerivedObjects/Data/DerivedSportMET.json
==================================================================================================================================
Prompt from user: How many calories in a Pizza ?
==================================================================================================================================
==================================== Prompt =============================================
Identify in this list of intents: ["Capture the user food consumption", "Capture the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###How many calories in a Pizza ?###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
{
"intents": ["Answer a nutrition question"]
}
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
{
"intents": ["Answer a nutrition question"]
}
------------------------------------------------------
------------------------ After simplification ------------------------
{"intents": ["Answer a nutrition question"]}
----------------------------------------------------------------------
==================================== Prompt =============================================
I need to identify food information from sentences.
Analyze the following french sentence: "How many calories in a Pizza ?".
I want to identify for the food or beverage: the name, the type, the quantity for each ingredient and, if it exists, identify the brand, the cooking mode and the company name.
Containers, like "canette" or "verre", are quantities and not ingredients or food product.
"Portions", like "tranche", are quantities.
"Quantity" is in french.
"Company" is the company of the brand.
"Quignon" is a quantity.
Ignore what it is not connected to nutrition, beverage or food.
Music and is not nutrition.
Extract how the product is consumed.
The level of cooking mode is not in the name.
There is no quantity in the name, ex: the name for "une pomme" is "pomme".
When brand is not specified and the product is very well-known (like "Coca-Cola"), provide the brand name in "brand", otherwise set "brand" to "".
Ignore the actions.
The restaurants are not brand.
Identify what type of food.
Ignore food with a negative verb, ex "Je n'ai pas pris de viande".
Do not extract ingredients for product with a brand.
If the food or beverage consumption is in the past, the event is a "declaration", for example: "J'ai mangé du pain", the event is a declaration.
If the food or beverage consumption will be in the future or even soon, the event is an "intent", for example: "Je vais manger du pain", the event is an intent.
Otherwise the event is unknown.
Map the event of eating on ["intent", "declaration", "unknown"].
Identify the time of day when the foods were eaten and map it on "petit-déjeuner", "déjeuner", "grignotage" or "dîner".
Format the result in french in JSON in an array of tuples {"name":, "quantity":, "cooking":, "brand":, "company":, "type":, "time":, "event":}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
Based on your instructions, here's how I would analyze the sentence "How many calories in a Pizza ?":
```json
[
{
"name": "Pizza",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "",
"event": "unknown"
}
]
```
Explanation:
- The name of the food is "Pizza".
- The quantity is not specified in the sentence.
- The cooking mode is not mentioned.
- The brand is not specified, and while there are well-known pizza brands, without a specific mention, I cannot assume one.
- The company is not mentioned.
- The type of food is "food".
- The time of day when the pizza is eaten is not specified.
- The event is "unknown" because the sentence does not indicate whether the pizza has been eaten, will be eaten, or is just being questioned about.
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, here's how I would analyze the sentence "How many calories in a Pizza ?":
```json
[
{
"name": "Pizza",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "",
"event": "unknown"
}
]
```
Explanation:
- The name of the food is "Pizza".
- The quantity is not specified in the sentence.
- The cooking mode is not mentioned.
- The brand is not specified, and while there are well-known pizza brands, without a specific mention, I cannot assume one.
- The company is not mentioned.
- The type of food is "food".
- The time of day when the pizza is eaten is not specified.
- The event is "unknown" because the sentence does not indicate whether the pizza has been eaten, will be eaten, or is just being questioned about.
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "Pizza", "quantity": "", "cooking": "", "brand": "", "company": "", "type": "food", "time": "", "event": "unknown" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'Pizza', 'quantity': '', 'cooking': '', 'brand': '', 'company': '', 'type': 'food', 'time': '', 'event': 'unknown'}], 'cost': 0.05879999999999999}
--------------------------------------------------------------------------------
First try:
SELECT V_Name,V_Comment,V_NormName,V_NormComment,V_PackType,V_GTIN,V_GTINRef,V_ID,V_GlobalCount,V_NormTrademark,V_Trademark,V_NormAggr FROM KCALME_TABLE WHERE V_NormName LIKE '% pizza %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Pizza - pizza - - - 10599 - - - CIQ#733e507c20c6036da06902e2929056db
Pizza - pizza - - - 0 - - - KCA#733e507c20c6036da06902e2929056db
Pizza - pizza - sauce garniture pour - - 0 - - - CIQ#a275181c086396e0bec873fcc94008cb
Pizza Kebab - pizza kebab - - - 6 - - - CIQ#6bbe41be8630f033bfe294b94bbf8d0c
Pizza Moyenne - pizza moyenne - - - 38 - - - KCA#9bdfcad1de65c2ebcc7384d0aa3fa55f
Pizza au Thon - pizza thon - - - 16 - - - CIQ#5f444b59309014aeab27095b6eb2d95b
Pizza Fromage - pizza fromage - - - 0 - - - KCA#5175d910a3bb5ffe553ada3ee1d50309
Pizza au Poulet - pizza poulet - - - 0 - - - CIQ#33e0a5ea4366eeb0aad919629cf8f008
Pizza au Saumon - pizza saumon - - - 0 - - - CIQ#531c0deee226a1ed25c6ad7e9344ecef
Pizza 4 Fromages - pizza fromage - - - 2361 - - - CIQ#5175d910a3bb5ffe553ada3ee1d50309
Pizza 'Spéciale' - pizza speciale - - - 146 - - - KCA#a6f6dd5434366be39fec21c560e1457e
Pizza à la Poêle - pizza poele - - - 64 - - - KCA#2cd730363965f0d5363b216aaaa75f26
Pizza Boulangerie - pizza boulangerie - - - 318 - - - KCA#291611656924ce924ca7d5200705c55e
Pizza à la Viande - pizza viande - type bolognaise - - 0 - - - CIQ#b17f77e6924678e84c353cde4ec8bdc4
Pizza aux Lardons - pizza au lardon - oignons et fromage - - 0 - - - CIQ#2ff2fb0af20f513208206f7883b4b537
Pizzas Végétariennes - pizza vegetarienne - - - 566 - - - KCA#9f884aabd1a0211b685859e3d93bb8c8
Pizza Jambon Fromage - pizza jambon fromage - - - 405 - - - CIQ#a5c5fe6f659b72fa37b3770428f770e9
Pizza Jambon Fromage - pizza jambon fromage - - - 0 - - - KCA#a5c5fe6f659b72fa37b3770428f770e9
Pizza Tomate et Fromage - pizza tomate fromage - - - 111 - - - KCA#0962f5517452bf8b32ecb09f5f3166da
Pizza aux Fruits de Mer - pizza au fruit de mer - - - 0 - - - CIQ#d9baa96a97f96e931fba42a44879122e
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
PIZ.w200.p2
ERROR with converion of PIZ.w200.p2
==================================== Prompt =============================================
Here is all known information:
For "Pizza", here are the nutrition values:
name: Pizza
GTIN: none
brand: none
calorie: 233.0Kcal per 100g
salt: 1.27g per 100g
sugar: 2.93g per 100g
NutriScore: none
EcoScore: none
allergens: en:gluten
allergen traces: none
data source: Ciqual
Answer in less than 50 words to this question with a short explanation if needed: "How many calories in a Pizza ?"
" + "Mention the data source in the response if it exists. The answer must be in the same language than the question
=========================================================================================
------------------------------ LLM Raw response -----------------------------
A 100g serving of pizza contains 233.0Kcal, according to the data source Ciqual.
-----------------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': 'A 100g serving of pizza contains 233.0Kcal, according to the data source Ciqual.', 'cost': 0.01422}
--------------------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'How many calories in a Pizza ?', 'intents': ['Answer a nutrition question'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Pizza', 'normName': ' pizza ', 'comment': '', 'normComment': '', 'rank': 10599, 'id': 'CIQ#733e507c20c6036da06902e2929056db', 'quantity': '', 'quantityLem': '', 'pack': ['PIZ.w200.p2'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {'type': 'text', 'data': 'A 100g serving of pizza contains 233.0Kcal, according to the data source Ciqual.'}}, 'cputime': 12.488761186599731}
----------------------------------------------------------------------------------
LLM CPU Time: 12.488761186599731