Input path: /home/debian/html/nutritwin/output_llm/684203fd7e44a/input.json
Output path: /home/debian/html/nutritwin/output_llm/684203fd7e44a/output.json
Input text: 
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: 
==================================================================================================================================
Image to be analyzed: /home/debian/html/nutritwin/output_llm/684203fd7e44a/capture.jpg
##############################################################################################
#   For image extraction, pixtral-large-2411 is used    #
##############################################################################################

==================================== Prompt =============================================
In the image, identify all the foods and beverages, convert them into an array of JSON with consumed foods.
Ignore what it is not connected to nutrition, beverage or food. 
When a food or a beverage has several instances unify them on a single food or beverage and add the quantities of each.
The attribute name must remain in English but the result, so the attribute value, must be in french, and only in french.

Provide a solution without explanation.

Use only the food & beverage ontology described in this Turtle/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 beverage identifier, the name should not contain information related to quantity or container (like glass...).
Ignore food or beverage when it is not consumed in the past, now or in the future.
The cooking mode is not in the name. The name is only in french."""@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 is only in french. Here are examples: '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. The cooking method is in french."@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 name is very known (ex: Activia, Coca) and the brand is not mentioned, guess the brand."""@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.

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.

    
"""

Here is an example of result:
[
    {
        "name": "blanquette de veau",
        "quantity": "un plat",
        "cookingMethod": "mijot\u00e9",
        "timeOfTheDay": "lunch",
        "company": "Leclerc",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "eau",
        "brand": "Evian",
        "company": "Danone",
        "timeOfTheDay": "breakfast",
        "quantity": "un verre",
        "type": "beverage",
        "event": "intent"
    }
]

=========================================================================================


------------------------------ LLM Raw response -----------------------------
[
    {
        "name": "cerises",
        "quantity": "vingt-deux",
        "type": "food",
        "event": "unknownEvent"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "cerises",
        "quantity": "vingt-deux",
        "type": "food",
        "event": "unknownEvent"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "cerises",
        "quantity": "vingt-deux",
        "type": "food",
        "event": "unknownEvent"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'cerises', 'quantity': 'vingt-deux', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'cerises', 'quantity': 'vingt-deux', 'type': 'food', 'event': 'unknownEvent'}

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 '% cerise %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Cerise -  cerise  - dénoyautée, crue -  - 0 -  -  - CIQ#4c11e832d00edb880933d5cd211ef9e2
Cerises -  cerise  -  -  - 7305 -  -  - KCA#aae0ea75cc3b2f0fc73431e903dd46a9
Cerises Déguisées -  cerise deguisee  -  -  - 16 -  -  - KCA#a57d1494e01e4deef61afd8a29710d2b
Cerises au Yaourt -  cerise yaourt  -  -  - 6 -  -  - KCA#20cbc293e783530655fcbd803e84f764
Cerises au Sirop Apertisées -  cerise sirop apertisee  -  -  - 98 -  -  - KCA#91faf4449254a04082c56c9c82cc8e73
Cerises Pochées au Vin de Bordeaux -  cerise pochee vin de bordeau  -  -  - 5 -  -  - KCA#92da9834c81be4fa17727f9adcdad4d5
Tomate Cerise -  tomate cerise  - crue -  - 0 -  -  - CIQ#9f76e2172737f480f1c9b66f3627bfb0
Tomate Cerise -  tomate cerise  - tomate cerise -  - 0 -  -  - KCA#fc7d1647e177b261c9a22262037f6216
Tomates Cerises Rôties aux Broccolinis -  tomate cerise rotie au broccolini  - et graines de citrouille -  - 7 -  -  - KCA#b4e4bc20b89f5f2678a4843a5d0f40ea
Compote Cerise -  compote cerise  -  -  - 112 -  -  - KCA#0d03891f45238a934a96530f37bb405b
Tarte aux Cerises -  tarte au cerise  - aux cerises -  - 0 -  -  - KCA#7e75364e4a933f3c4774e90ceceecd20
Clafoutis aux Cerises -  clafouti au cerise  -  -  - 294 -  -  - KCA#6a2068b1fc346470426fe006d271e0bb
Financiers aux Cerises et au Cognac -  financier au cerise cognac  -  -  - 107 -  -  - KCA#bed316fda607cfdeb8e07f70376ee589
----------------------------------------------------

ERROR: no solution for picto in the first solution
ERROR: no solution for picto in the first solution

--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/684203fd7e44a/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Cerise', 'normName': ' cerise ', 'comment': 'dénoyautée, crue', 'normComment': ' denoyautee crue ', 'rank': 0, 'id': 'CIQ#4c11e832d00edb880933d5cd211ef9e2', 'quantity': 'vingt-deux', 'quantityLem': 'vingt 2', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.8804922103881836}
----------------------------------------------------------------------------------
LLM CPU Time: 1.8804922103881836