Input path: /home/debian/html/nutritwin/output_llm/67e806b4213b2/input.json
Output path: /home/debian/html/nutritwin/output_llm/67e806b4213b2/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/67e806b4213b2/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": "compote",
        "quantity": "un pot",
        "type": "food",
        "event": "declaration",
        "brand": "Charles & Alice",
        "timeOfTheDay": "snacking"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "compote",
        "quantity": "un pot",
        "type": "food",
        "event": "declaration",
        "brand": "Charles & Alice",
        "timeOfTheDay": "snacking"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "compote",
        "quantity": "un pot",
        "type": "food",
        "event": "declaration",
        "brand": "Charles & Alice",
        "timeOfTheDay": "snacking"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'compote', 'quantity': 'un pot', 'type': 'food', 'event': 'declaration', 'brand': 'Charles & Alice', 'timeOfTheDay': 'snacking'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'compote', 'quantity': 'un pot', 'type': 'food', 'event': 'declaration', 'brand': 'Charles & Alice', 'timeOfTheDay': 'snacking'}

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 '% compote %' AND V_NormTrademark LIKE '%charles alice%' 


------------- Found solution (max 20) --------------
Compote -  compote  -  - Charles & Alice - 0 - 3297760019329 - 3297760019329 - OFF#befbb90ecec60225b3ecdd330a00967e
Compote -  compote  -  - Charles & Alice - 0 - 3297760097853 - 3297760019329 - OFF#f9c8bd02f2884932f7d85e215b76eadd
Compote -  compote  -  - Charles & Alice - 0 - 3297760019374 - 3297760019329 - OFF#5fba19f9d838a04d004ac0c30449730c
Compote de Pomme -  compote de pomme  -  - Charles & Alice - 0 - 3288310842207 - 3288310842207 - OFF#7197d9a43998f7d53f54210dcb248b33
Compote BIO Pommes -  compote bio pomme  -  - Charles & Alice - 0 - 3288310845475 - 3288310845475 - OFF#e8958ba9944f5b09953689a76d0db4fb
Compote Pomme Datte -  compote pomme datte  -  - Charles & Alice - 0 - 3297760097426 - 3297760097426 - OFF#898406c747ec7cb2bb9e4fb34ccb76e6
Compote Pomme Fraise -  compote pomme fraise  -  - Charles & Alice - 0 - 3297760030010 - 3297760030010 - OFF#7470cbd26aa43c12b992e1e70db1cccb
Compote Pommes Figues -  compote pomme figue  -  - Charles & Alice - 0 - 3297760097341 - 3297760097341 - OFF#d9663507c75fc1e9eb527c540a188c40
Compote Pommes Bananes -  compote pomme banane  -  - Charles & Alice - 0 - 3288310842351 - 3288310842351 - OFF#ba733542d140452d7154ba3e28aa9b39
Compotes Charles Alice -  compote charle alice  -  - Charles & Alice - 0 - 3297760019343 - 3297760019343 - OFF#96cef56b6c9a7a2203ebac882ac18633
Compote Pomme Rhubarbe -  compote pomme rhubarbe  -  - Charles & Alice - 0 - 3297760097099 - 3297760097099 - OFF#0d533a08b651170a3a16ed63d8a65deb
Compote Pommes Cerises -  compote pomme cerise  -  - Charles & Alice - 0 - 3297760097280 - 3297760097280 - OFF#79c9ad12d09e5832a3d242eabc3acedb
Compotes Pommes Pêches -  compote pomme peche  -  - Charles & Alice - 0 - 3297760097877 - 3297760097877 - OFF#625b9a056a8443c98558eab97010bf8d
Compotes Pommes Pêches -  compote pomme peche  -  - Charles & Alice - 0 - 3297760098362 - 3297760097877 - OFF#ff4f394cc2232f8921bc875224705fe1
Compotes Pommes Pêches -  compote pomme peche  -  - Charles & Alice - 0 - 3297760098195 - 3297760097877 - OFF#34b9c01e64a31ae1fcb2da9933e17d73
Compote Pommes Abricots -  compote pomme abricot  -  - Charles & Alice - 0 - 2000000030391 - 2000000030391 - OFF#6d67f5f04c1919f7d42eae1a237966eb
Compote Pomme Mirabelle -  compote pomme mirabelle  -  - Charles & Alice - 0 - 3297760097860 - 3297760097860 - OFF#618b02f85a3cbe0b3d8ac506af5ff6c9
Compote Poires Williams -  compote poire william  -  - Charles & Alice - 0 - 45331794 - 45331794 - OFF#3f9d3a9d340919ffb2ea65706f92fc66
Compote Pommes Abricots -  compote pomme abricot  -  - Charles & Alice - 0 - 3297760097815 - 2000000030391 - OFF#efe127e5e3b6e24eee75981a7e1d83ea
Compotes Pommes Cerises -  compote pomme cerise  -  - Charles & Alice - 0 - 3297760097846 - 3297760097280 - OFF#fce1f0c28716fe58a31170eda72eac9f
----------------------------------------------------


--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67e806b4213b2/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Compote', 'normName': ' compote ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#befbb90ecec60225b3ecdd330a00967e', 'quantity': 'un pot', 'quantityLem': '1 pot', 'pack': ['YA1.w125'], 'type': 'food', 'gtin': '3297760019329', 'gtinRef': '3297760019329', 'brand': 'Charles & Alice', 'time': 'snacking', 'event': 'declaration', 'serving': 'YA1-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.719843864440918}
----------------------------------------------------------------------------------
LLM CPU Time: 2.719843864440918