Input path: /home/debian/html/nutritwin/output_llm/68fb591375176/input.json
Output path: /home/debian/html/nutritwin/output_llm/68fb591375176/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/68fb591375176/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": "pâté de viande",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    },
    {
        "name": "macaroni",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    },
    {
        "name": "petits pois",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "pâté de viande",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    },
    {
        "name": "macaroni",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    },
    {
        "name": "petits pois",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "p\u00e2t\u00e9 de viande",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    },
    {
        "name": "macaroni",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    },
    {
        "name": "petits pois",
        "quantity": "une portion",
        "cookingMethod": "cuit",
        "type": "food",
        "timeOfTheDay": "dinner",
        "event": "declaration"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'pâté de viande', 'quantity': 'une portion', 'cookingMethod': 'cuit', 'type': 'food', 'timeOfTheDay': 'dinner', 'event': 'declaration'}, {'name': 'macaroni', 'quantity': 'une portion', 'cookingMethod': 'cuit', 'type': 'food', 'timeOfTheDay': 'dinner', 'event': 'declaration'}, {'name': 'petits pois', 'quantity': 'une portion', 'cookingMethod': 'cuit', 'type': 'food', 'timeOfTheDay': 'dinner', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'pâté de viande', 'quantity': 'une portion', 'cookingMethod': 'cuit', 'type': 'food', 'timeOfTheDay': 'dinner', '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 '% pate de viande %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)

--> CPU time in DB: 0.1338 seconds
Word: Pâté  -  dist: 0.4882059097290039  -  row: 24
Word: Pâté de Gibier  -  dist: 0.5143629908561707  -  row: 32
Word: Pâté de Tête  -  dist: 0.532274067401886  -  row: 2545
Word: Pâté de Foie de Volaille  -  dist: 0.5324417948722839  -  row: 29
Word: Pâté Crème  -  dist: 0.5356985926628113  -  row: 55128
Found embedding word: Pâté

Second try (embedded):
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_Name = 'Pâté'


------------- Found solution (max 20) --------------
Pâté -  pate  -  -  - 35 -  -  - CIQ#afa9f7f047da1f15de2883f037186a92
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'macaroni', 'quantity': 'une portion', 'cookingMethod': 'cuit', 'type': 'food', 'timeOfTheDay': 'dinner', '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 '% macaroni %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Macaroni au Gratin -  macaroni gratin  -  -  - 149 -  -  - KCA#389dddb26617863b34f0ed4f0d15ee2c
Macaroni en Salade -  macaroni en salade  -  -  - 12 -  -  - KCA#e456ada28617e4b6fc7ad07ac287bb5a
Macaroni en Timbale -  macaroni en timbale  -  -  - 31 -  -  - KCA#2ee584cfa1f861c58fc47c4861b8cf7a
Macaroni à la Niçoise -  macaroni nicoise  -  -  - 7 -  -  - KCA#d9186f98059b918c4cdffa0cb2197c17
Macaroni en Croquettes -  macaroni en croquette  -  -  - 13 -  -  - KCA#18e74507336b2695ed47c98002497b8b
Macaroni à la Lyonnaise -  macaroni lyonnaise  -  -  - 2 -  -  - KCA#85f2a9a37ced30df70c42dd49fd33670
Macaroni au Fromage Frais -  macaroni fromage frai  -  -  - 25 -  -  - KCA#113da072737accbd03d447ef3cb76768
Macaroni aux Deux Fromages -  macaroni au deux fromage  -  -  - 30 -  -  - KCA#61119bd65537b23ad384b75eaf7b10a9
----------------------------------------------------


----------- result to be analyzed -----------
{'name': 'petits pois', 'quantity': 'une portion', 'cookingMethod': 'cuit', 'type': 'food', 'timeOfTheDay': 'dinner', '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 '% petit poi %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Petits Pois -  petit poi  - égouttés -  - 0 -  -  - CIQ#9ffb5e2c01c96af228f86965c9fb948c
Petits Pois -  petit poi  - bouillis/cuits à l'eau -  - 0 -  -  - CIQ#dd2da67877ed7f0ac635c10b96769dfc
Petits Pois Cuits -  petit poi cuit  -  -  - 111 -  -  - KCA#c88d8094c5c197d784f8a0c702ef9543
Petits Pois Carottes -  petit poi carotte  -  -  - 2323 -  -  - KCA#7ed2f2b587f72e6b7df2451c218da51e
Petits Pois Surgelés -  petit poi surgele  -  -  - 68 -  -  - KCA#edcd10d133f428fe98f831538e4bd1a2
Petits Pois en Conserve -  petit poi en conserve  -  -  - 47 -  -  - KCA#3bc91a7a7d76aee0c5557fd34697de46
Petits Pois à la Menthe -  petit poi menthe  -  -  - 10 -  -  - KCA#d845720f926d115a4ed1800e1adb93e4
Petits Pois et Carottes -  petit poi carotte  - égouttés -  - 0 -  -  - CIQ#a210ec3e8f7d4847243833333bd6b29b
Petits Pois à l'Anglaise -  petit poi anglaise  -  -  - 10 -  -  - KCA#3a3b4f6230f5baa603089081dc138a5a
Petits Pois à la Française -  petit poi francaise  -  -  - 38 -  -  - KCA#a4e4d707479fdfbd664f9605815349d4
Petits Pois à la Florentine -  petit poi florentine  -  -  - 0 -  -  - KCA#f7a6e9e3bbf63a662d987a1692cd6cae
Purée de Petits Pois -  puree de petit poi  -  -  - 87 -  -  - KCA#24e05443f69122ac730ba1308a049845
Pigeons aux Petits Pois -  pigeon au petit poi  -  -  - 9 -  -  - KCA#12da10fb01a5c6041026471c38ec8a86
Langouste aux Petits Pois -  langouste au petit poi  -  -  - 0 -  -  - KCA#43f35aa33f745bac853f7ef36f634ee8
Spaghetti aux Petits Pois -  spaghetti au petit poi  - petits pois -  - 0 -  -  - KCA#a2399bcd885726804760f4e591b0f367
Roti de Cabillaud aux Petits Pois -  roti de cabillaud au petit poi  -  -  - 9 -  -  - KCA#e3b1e6e717d0d11b911ab8e6bb67253c
Purée de Pomme de Terre et Petits Pois -  puree de pomme de terre petit poi  -  -  - 12 -  -  - KCA#4808a903dcc9ab2f718e33de7ab64d00
----------------------------------------------------


--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68fb591375176/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pâté', 'normName': ' pate ', 'comment': '', 'normComment': '', 'rank': 35, 'id': 'CIQ#afa9f7f047da1f15de2883f037186a92', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['TR5.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'dinner', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Macaroni au Gratin', 'normName': ' macaroni gratin ', 'comment': '', 'normComment': '', 'rank': 149, 'id': 'KCA#389dddb26617863b34f0ed4f0d15ee2c', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['NO2.k420', 'NOU.k420'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'dinner', 'event': 'declaration', 'serving': 'NOU-100', 'posiNormName': 0}, {'name': 'Petits Pois', 'normName': ' petit poi ', 'comment': 'égouttés', 'normComment': ' egoutte ', 'rank': 0, 'id': 'CIQ#9ffb5e2c01c96af228f86965c9fb948c', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'dinner', 'event': 'declaration', 'serving': 'LEG-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.606345176696777}
----------------------------------------------------------------------------------
LLM CPU Time: 4.606345176696777