Input path: /home/debian/html/nutritwin/output_llm/68ff6bb3c3772/input.json
Output path: /home/debian/html/nutritwin/output_llm/68ff6bb3c3772/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/68ff6bb3c3772/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": "ananas",
        "quantity": "250g",
        "type": "food",
        "event": "unknownEvent"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "ananas",
        "quantity": "250g",
        "type": "food",
        "event": "unknownEvent"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "ananas",
        "quantity": "250g",
        "type": "food",
        "event": "unknownEvent"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'ananas', 'quantity': '250g', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'ananas', 'quantity': '250g', '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 '% anana %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Ananas -  anana  - pulpe, cru -  - 0 -  -  - CIQ#9d41b2c1e2497614dc1a541eee1a27fe
Ananas Frais -  anana frai  -  -  - 12364 -  -  - KCA#acf1ae54036ef4c5465f0dda8fd7cffd
Ananas au Sirop -  anana sirop  -  -  - 601 -  -  - KCA#9c14809983332a55508fef5ba94eee6c
Ananas en Compote -  anana en compote  -  -  - 16 -  -  - KCA#299a411a891295818846b9e125d4dffe
Ananas en Conserve -  anana en conserve  -  -  - 210 -  -  - KCA#d061db826244290a234e7b2970e934a3
Ananas Victoria ou Ananas Queen Victoria -  anana victoria ou anana queen victoria  - pulpe crue, prélevé à La Réunion Ananas comosus, L., merr var. Queen -  - 0 -  -  - CIQ#2e5f3466b72466743e9e103aacf72f59
Jus d'Ananas -  ju anana  -  -  - 1944 -  -  - KCA#9ff42045ee037436c3084734ea5475ce
Jus d'Ananas -  ju anana  - pur jus -  - 0 -  -  - CIQ#87489666263b0450dc89c49d1c2a2586
Jus d'Ananas -  ju anana  - Orange et Fraise -  - 34 -  -  - KCA#6a765e4914bd695065658d9b4bac230a
Jus d'Ananas -  ju anana  - Gingembre et Menthe -  - 19 -  -  - KCA#ddfccec01571a460df8b13606c377cdd
Jus d'Ananas -  ju anana  - à base de concentré -  - 0 -  -  - CIQ#e37224c47a179b893a9e13810c5e37e8
Confits Ananas -  confit anana  -  -  - 23 -  -  - KCA#2e164f287bb0e3e3fc572a1baaf45eb7
Jus d'Orange, Ananas et Glace au Melon -  ju orange anana glace melon  -  -  - 21 -  -  - KCA#3e4e71456576da23059304f3eba50c9c
Jus d'Orange, Gingembre et Ananas -  ju orange gingembre anana  -  -  - 6 -  -  - KCA#e2edd8bdeebd69177ece6caee7f071d8
Financiers Noix de Coco Ananas -  financier noix de coco anana  -  -  - 257 -  -  - KCA#4aebfb172b7e19062e54d1ff97c7f71d
----------------------------------------------------

ERROR: no solution for picto in the first solution

--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68ff6bb3c3772/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Ananas', 'normName': ' anana ', 'comment': 'pulpe, cru', 'normComment': ' pulpe cru ', 'rank': 0, 'id': 'CIQ#9d41b2c1e2497614dc1a541eee1a27fe', 'quantity': '250g', 'quantityLem': '250g', 'pack': ['ANA.w60'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.5919764041900635}
----------------------------------------------------------------------------------
LLM CPU Time: 1.5919764041900635