Input path: /home/debian/html/nutritwin/output_llm/6639e60849d22/input.json
Output path: /home/debian/html/nutritwin/output_llm/6639e60849d22/output.json
Input text: Combien de calories dans un Danone Nature ?
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: Combien de calories dans un Danone Nature ?
==================================================================================================================================
==================================== Prompt =============================================
Identify in this list of intents: ["Identify food consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Combien de calories dans un Danone Nature ?###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
{
"intents": ["Answer a nutrition question"]
}
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
{
"intents": ["Answer a nutrition question"]
}
```
------------------------------------------------------
------------------------ After simplification ------------------------
{ "intents": ["Answer a nutrition question"]}
----------------------------------------------------------------------
==================================== Prompt =============================================
Convert this natural language query : """Combien de calories dans un Danone Nature ?""" into an array in JSON of consumed foods and beverages.
Provide a solution without explanation.
Use only the ontology described in this RDF model:
"""
@prefix food: .
@prefix rdfs: .
@prefix xsd: .
@prefix owl: .
@prefix prov: .
food: a owl:Ontology ;
rdfs:comment "Definition of the food archetype"@en .
food:name a owl:DatatypeProperty;
rdfs:label "name"@en;
rdfs:comment "Food or drink identifier, the name should not contain information related to quantity or container (like glass...). The cooking mode is not in the name. Keep the same language"@en;
rdfs:range xsd:string.
food:quantity a owl:DatatypeProperty ;
rdfs:label "quantity"@en;
rdfs:comment "The quantity of food or drink that is or was consumed. Quantity examples in french: 'un quignon', 'un cornet', 'un verre', 'une tranche', 'une boule', 'un', 'deux', 'trois',... Keep the same language."@en;
rdfs:range xsd:string.
food:cookingMethod a owl:DatatypeProperty ;
rdfs:label "cooking method"@en;
rdfs:comment "The cooking method of food. Keep the same language"@en;
rdfs:range xsd:string.
food:type a owl:DatatypeProperty ;
rdfs:label "type of food"@en;
rdfs:comment "Identify the type of food."@en;
rdfs:range xsd:string.
food:food a food:type ;
rdfs:label "food" .
food:beverage a food:type ;
rdfs:label "beverage" .
food:timeOfTheDay a owl:DatatypeProperty ;
rdfs:label "time of the day"@en;
rdfs:comment "Time of the day when food or drink was consumed."@en;
rdfs:range xsd:string.
food:breakfast a food:timeOfTheDay ;
rdfs:label "breakfast" .
food:lunch a food:timeOfTheDay ;
rdfs:label "lunch" .
food:snacking a food:timeOfTheDay ;
rdfs:label "snacking" .
food:dinner a food:timeOfTheDay ;
rdfs:label "dinner" .
food:brand a owl:DatatypeProperty ;
rdfs:label "Brand"@en;
rdfs:comment "Food or beverage brand. The restaurants are not brand. When the 'brand' is not specified and, the food or beverage is very well-known (like 'Coca-Cola'), provide the brand name in 'brand', otherwise set 'brand' to ''."@en;
rdfs:range xsd:string.
food:company a owl:DatatypeProperty ;
rdfs:label "Company"@en;
rdfs:comment "Product company."@en;
rdfs:range xsd:string.
food:event a owl:DatatypeProperty ;
rdfs:label "event"@en;
rdfs:comment "Event of eating or drinking. Each must have an event"@en;
rdfs:range xsd:string.
food:intent a food:event ;
rdfs:label "intent" .
rdfs:comment "When the event should happen"@en.
food:declaration a food:event ;
rdfs:label "declaration" .
rdfs:comment "When the event has already occured"@en.
food:unknownEvent a food:event ;
rdfs:label "unknown" ;
rdfs:comment "When the event is unknown in the day"@en.
"""
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
[
{
"food:name": "Danone Nature",
"food:quantity": "un",
"food:brand": "Danone",
"food:event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"food:name": "Danone Nature",
"food:quantity": "un",
"food:brand": "Danone",
"food:event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "food:name": "Danone Nature", "food:quantity": "un", "food:brand": "Danone", "food:event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'food:name': 'Danone Nature', 'food:quantity': 'un', 'food:brand': 'Danone', 'food:event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'Danone Nature', 'quantity': 'un', 'brand': 'Danone', 'event': 'declaration'}
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 '% nature %' AND V_NormTrademark LIKE '%danone%'
------------- Found solution (max 20) --------------
Le Nature - nature - - Danone - 0 - 0034361955396 - 0034361955396 - OFF#5b9c78c6d39898899ad572b4af0b5dee
Le Nature - nature - - Danone - 0 - 3368850003068 - 0034361955396 - OFF#e78fc4655717cccc0f12405471a8e64e
Le Nature - nature - - Danone - 0 - 3033491425790 - 0034361955396 - OFF#b273ca799710a706a7d01a0a2d05b7da
Le Nature - nature - - Danone - 0 - 3033491316128 - 0034361955396 - OFF#c35d4acb3421786c65c6fc54287677d4
Nature Légère - nature legere - - Danone - 0 - 3661344322783 - 3661344322783 - OFF#92d61107cbcf8211a836117435972bd0
Le Nature BIO - nature bio - - Danone - 0 - 3661344789982 - 3661344789982 - OFF#544ffd5f1ce45ab42807620b6e43730b
Nature Natuur - nature natuur - - Danone - 0 - 5410146409783 - 5410146409783 - OFF#9225f927b56474585965c770075ff9c7
Le Nature Sucre - nature sucre - - Danone - 0 - 3033491284441 - 3033491284441 - OFF#0a0799358046c0a28b019b06017dac3f
Le Nature Offre Découverte - nature offre decouverte - - Danone - 0 - 3033490004552 - 3033490004552 - OFF#c10bcf66cd4a93d6f402719944d91dcd
Skyr Nature - skyr nature - - Danone - 0 - 3033491455483 - 3033491455483 - OFF#4381729503247c77de03308a4a2e79be
Skyr Nature - skyr nature - - Danone - 0 - 3033491772917 - 3033491455483 - OFF#a43ee7b2eefeeed2b526747b0f0432ec
Skyr Nature BIO - skyr nature bio - - Danone - 0 - 3661344485952 - 3661344485952 - OFF#e316f6b9aaef40b8b497f747ff7b2574
Oikos Nature Sucré - oiko nature sucre - - Danone - 0 - 5410146420009 - 5410146420009 - OFF#86c2db406546361bfd9c82399c1383bd
Danio Nature - danio nature - - Danone - 0 - 3033490873493 - 3033490873493 - OFF#2b3a41acbd7a4b33ec5935c943b4d8e5
Fjord Naturex 8 - fjord nature - - Danone - 0 - 3033491580536 - 3033491580536 - OFF#a1771d5c0e5aa3bcc57b4e6ccecbc01d
Fjord Naturex 4 - fjord nature - - Danone - 0 - 3033491580543 - 3033491580536 - OFF#59d7afe7b7496691f326aed76e040460
Kefir Nature Light And Free - kefir nature light and free - - Danone - 0 - 5410146418655 - 5410146418655 - OFF#35e548e7873b83419e7c52d4b05a4d4a
Yaourt Nature - yaourt nature - - Danone - 3 - 3033490004514 - 3033490004514 - OFF#c15f956989a12cf11371af5c013e5584
Brassé Nature - brasse nature - - Danone - 0 - 06955736 - 06955736 - OFF#8ffc11031127ca23228a31a32a66c01b
Danone Nature - danone nature - - Danone - 0 - 3033490004521 - 3033490004521 - OFF#a7864f0e343d12d8fa2465f15f9c1927
----------------------------------------------------
YA2.w125,YA9.w125
==================================== Prompt =============================================
Here is all known information:
For "Le Nature", here are the nutrition values:
name: Le Nature
GTIN: 0034361955396
brand: Danone
calorie: 45.0Kcal per 100g
reference weight for a unity: 125g
salt: 0.18g per 100g
sugar: 6.0g per 100g
NutriScore: B
EcoScore: B
allergens: none
allergen traces: none
data source: Open Food Facts
Answer in less than 50 words to this question with a short explanation if needed: "Combien de calories dans un Danone Nature ?"
" + "Mention the data source in the response if it exists. The answer must be in the same language than the question
=========================================================================================
------------------------------ LLM Raw response -----------------------------
Dans un Danone Le Nature de 125g, il y a 56.25Kcal. (Calcul : 45.0Kcal/100g * 125g). Source : Open Food Facts.
-----------------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': 'Dans un Danone Le Nature de 125g, il y a 56.25Kcal. (Calcul : 45.0Kcal/100g * 125g). Source : Open Food Facts.', 'cost': 0.0}
--------------------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'Combien de calories dans un Danone Nature ?', 'intents': ['Answer a nutrition question'], 'model': 'gpt-4-0125-preview', 'solutions': {'nutrition': [{'name': 'Le Nature', 'normName': ' nature ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#5b9c78c6d39898899ad572b4af0b5dee', 'quantity': 'un', 'quantityLem': '1', 'pack': ['YA2.w125', 'YA9.w125'], 'type': '', 'gtin': '0034361955396', 'gtinRef': '0034361955396', 'brand': 'Danone', 'time': '', 'event': 'declaration', 'serving': 'YA2-100', 'posiNormName': 0}], 'activity': [], 'response': {'type': 'text', 'data': 'Dans un Danone Le Nature de 125g, il y a 56.25Kcal. (Calcul : 45.0Kcal/100g * 125g). Source : Open Food Facts.'}}, 'cputime': 7.113619565963745}
----------------------------------------------------------------------------------
LLM CPU Time: 7.113619565963745