Input path: /home/debian/html/nutritwin/output_llm/66476d3851dc5/input.json
Output path: /home/debian/html/nutritwin/output_llm/66476d3851dc5/output.json
Input text: Combien de calories
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
==================================================================================================================================

==================================== 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###. 
 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""" 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: <http://www.3dminded.com/RDF/ontology/food#> .

@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix prov: <http://www.w3.org/ns/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
[]
```
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[]
```
------------------------------------------------------

------------------------ After simplification ------------------------
[]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [], 'cost': 0.0}
--------------------------------------------------------------------------------

==================================== Prompt =============================================
Here is all known information: 



Answer in less than 50 words to this question with a short explanation if needed: "Combien de calories"
" + "Mention the data source in the response if it exists. The answer must be in the same language than the question
=========================================================================================


------------------------------ LLM Raw response -----------------------------
Pour répondre précisément, il me faut savoir à quoi "combien de calories" se réfère. Sans spécificité, il est impossible de fournir une réponse exacte.
-----------------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': 'Pour répondre précisément, il me faut savoir à quoi "combien de calories" se réfère. Sans spécificité, il est impossible de fournir une réponse exacte.', 'cost': 0.0}
--------------------------------------------------------------------------------

--------------------------------- final result -----------------------------------
{'prompt': 'Combien de calories', 'intents': ['Answer a nutrition question'], 'model': 'gpt-4-0125-preview', 'solutions': {'nutrition': [], 'activity': [], 'response': {'type': 'text', 'data': 'Pour répondre précisément, il me faut savoir à quoi "combien de calories" se réfère. Sans spécificité, il est impossible de fournir une réponse exacte.'}}, 'cputime': 4.464020729064941}
----------------------------------------------------------------------------------
LLM CPU Time: 4.464020729064941