Input path: /home/debian/html/nutritwin/output_llm/66e88e8993982/input.json
Output path: /home/debian/html/nutritwin/output_llm/66e88e8993982/output.json
Input text: Combien de calories dans 100 g de noix.
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 100 g de noix.
==================================================================================================================================
==================================== 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 100 g de noix.###.
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 100 g de noix.""" into an array in JSON of consumed foods and beverages.
Provide a solution without explanation.
Use only the ontology described in this Turtle/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 beverage identifier, the name should not contain information related to quantity or container (like glass...)."@en;
rdfs:comment "Ignore food or beverage when it is not consumed in the past, now or in the future."@en;
rdfs:comment "The cooking mode is not in the name. When the brand is very well-known (ex: Activia, Coca-Cola), the name is equal to the brand. 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. The brand cannot be equal to the name."@en;
rdfs:range xsd:string.
food:company a owl:DatatypeProperty ;
rdfs:label "Company"@en;
rdfs:comment "Product company."@en;
rdfs:range xsd:string.
food:enumEvent a rdfs:Class .
food:event a owl:DatatypeProperty ;
rdfs:label "event"@en;
rdfs:comment "Event of eating or drinking. Each must have an event"@en;
rdfs:range food:enumEvent.
food:intent a food:enumEvent ;
rdfs:label "intent" .
rdfs:comment "When the event should happen"@en.
food:declaration a food:enumEvent ;
rdfs:label "declaration" .
rdfs:comment "When the event has already occured"@en.
food:unknownEvent a food:enumEvent ;
rdfs:label "unknown" ;
rdfs:comment "When the event is unknown in the day"@en.
"""
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
[
{
"name": "noix",
"quantity": "100 g",
"type": "food",
"event": "unknown"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "noix",
"quantity": "100 g",
"type": "food",
"event": "unknown"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "noix", "quantity": "100 g", "type": "food", "event": "unknown" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'noix', 'quantity': '100 g', 'type': 'food', 'event': 'unknown'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'noix', 'quantity': '100 g', 'type': 'food', 'event': 'unknown'}
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 '% noix %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Noix - noix - - - 9716 - - - KCA#c906c6893ddeb4160c6962e435a64070
Noix de Cajou - noix de cajou - grillée, non salée - - 4580 - - - CIQ#1d3f653c5638bf26ec0a3dd1b4d5d7f8
Noix de Cajou - noix de cajou - grillée à sec, non salée - - 0 - - - CIQ#ee20370d82207184e6c206ec093b3da6
Noix de Muscade - noix de muscade - - - 0 - - - CIQ#d0b515cab2cb4c1df3d8cac8c21a04a6
Noix de Coco Sèche - noix de coco seche - - - 302 - - - KCA#441a30b2d0145dcf42225dbbb3375c83
Noix de Coco Fraîche - noix de coco fraiche - - - 448 - - - KCA#b779756eb6730378afe5a32890565016
Noix de Veau au Bacon - noix de veau bacon - - - 3 - - - KCA#8fd91c269e5276f02a8363ef6803c0ab
Noix de Saint-jacques - noix de saint jacque - grillées aux agrumes - - 209 - - - KCA#9addb22675d34eb2fdcb5caead6326ec
Flan à la Noix de Coco - flan noix de coco - - - 363 - - - KCA#0652101a3b6451427cd959e6bec6cb65
Barre à la Noix de Coco - barre noix de coco - enrobée de chocolat - - 112 - - - CIQ#4e007846e0fe06a70828b3ec29679819
Tourte à la Noix de Coco - tourte noix de coco - de coco - - 0 - - - KCA#6121e359ac2923702fb168c182d3bf31
Pain aux Noix - pain au noix - - - 1573 - - - KCA#46db2fdf388b270a3d3b260144c5e060
Boisson à la Noix de Coco - boisson noix de coco - nature - - 0 - - - CIQ#bd0c757af8a0e8887260c8de0645af17
Huile de Noix - huile de noix - - - 34 - - - CIQ#9b2b84a42a4fd8da79bf4ee5cc2adadc
Tarte aux Noix de Saint-jacques - tarte au noix de saint jacque - - - 0 - - - CIQ#5aef85ffeb8b1a34c20b5f32a12c8ba2
Gâteau aux Noix - gateau au noix - - - 578 - - - KCA#8181007b7c696bcca41d6055d63dfe39
Salade aux Noix - salade au noix - - - 95 - - - KCA#ec74cd73a5ad2e8c35d392cd1be18ad1
Financiers Noix de Coco Ananas - financier noix de coco anana - - - 257 - - - KCA#4aebfb172b7e19062e54d1ff97c7f71d
Tartelettes aux Noix de Cajou - tartelette au noix de cajou - de cajou - - 0 - - - KCA#be73e050b0c8b1150a9834976e3b3ee0
Muffins Caramel Noix de Pécan - muffin caramel noix de pecan - - - 42 - - - KCA#cd9097c0bf07e696eb9fc54da68002b0
----------------------------------------------------
ERROR: no solution for picto in the first solution
NUT.w5
==================================== Prompt =============================================
Here is all known information:
For "Noix", here are the nutrition values:
name: Noix
GTIN: none
brand: none
calorie: 672.0Kcal per 100g
reference weight for a unity: 5g
salt: 0.00345g per 100g
sugar: -1.0g per 100g
NutriScore: none
EcoScore: none
allergens: none
allergen traces: none
data source: KcalMe
Answer in less than 50 words to this question with a short explanation if needed: "Combien de calories dans 100 g de noix."
" + "Mention the data source in the response if it exists. The answer must be in the same language than the question
=========================================================================================
------------------------------ LLM Raw response -----------------------------
Il y a 672,0 Kcal dans 100 g de noix. Source des données : KcalMe.
-----------------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': 'Il y a 672,0 Kcal dans 100 g de noix. Source des données : KcalMe.', 'cost': 0.0}
--------------------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'Combien de calories dans 100 g de noix.', 'intents': ['Answer a nutrition question'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Noix', 'normName': ' noix ', 'comment': '', 'normComment': '', 'rank': 9716, 'id': 'KCA#c906c6893ddeb4160c6962e435a64070', 'quantity': '100 g', 'quantityLem': '100 g', 'pack': ['NUT.w5'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {'type': 'text', 'data': 'Il y a 672,0 Kcal dans 100 g de noix. Source des données : KcalMe.'}}, 'cputime': 3.557159662246704}
----------------------------------------------------------------------------------
LLM CPU Time: 3.557159662246704