Input path: /home/debian/html/nutritwin/output_llm/6819e8e58a37e/input.json
Output path: /home/debian/html/nutritwin/output_llm/6819e8e58a37e/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/6819e8e58a37e/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": "yaourt",
        "quantity": "un pot",
        "brand": "Danone",
        "type": "food",
        "event": "declaration"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "yaourt",
        "quantity": "un pot",
        "brand": "Danone",
        "type": "food",
        "event": "declaration"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "yaourt",
        "quantity": "un pot",
        "brand": "Danone",
        "type": "food",
        "event": "declaration"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'yaourt', 'quantity': 'un pot', 'brand': 'Danone', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'yaourt', 'quantity': 'un pot', 'brand': 'Danone', 'type': 'food', '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 '% yaourt %' AND V_NormTrademark LIKE '%danone%' 


------------- Found solution (max 20) --------------
Yaourt -  yaourt  -  - Danone - 8 - 13561390 - 13561390 - OFF#d05c7bad1833108d7aac87bb2be2ae6f
Yaourt -  yaourt  -  - Danone - 0 - 3033491215353 - 13561390 - OFF#a44bf4719bfc97599207df830244621c
Yaourt -  yaourt  -  - Danone - 0 - 5410146417061 - 13561390 - OFF#5022f1e2b789f0f6aa44416baa0d7560
Yaourt -  yaourt  -  - Danone - 0 - 5410146420597 - 13561390 - OFF#d7b8d211568f869d3261da4d29401ab5
Yaourt -  yaourt  -  - Danone - 0 - 3330261041205 - 13561390 - OFF#b6e99f227eff5773c1c5fdbe53fef3b5
Yaourt -  yaourt  -  - Danone - 0 - 3330261030506 - 13561390 - OFF#3eeb8a1eb3478b34843adaadf4d4ce85
Yaourt -  yaourt  -  - Danone - 0 - 3330261030100 - 13561390 - OFF#5acbbfe23f23953da5c23e9d829e30f0
Yaourt -  yaourt  -  - Danone - 0 - 5601050034950 - 13561390 - OFF#a3db60fd82209c7039e34013035e385c
Yaourt -  yaourt  -  - Danone - 0 - 5410146418273 - 13561390 - OFF#0b585358bc172d2e308131ce70de0c80
Yaourt -  yaourt  -  - Danone - 0 - 3330261020705 - 13561390 - OFF#a99b39ad9eae80cbe801b143f7ed6ed7
Yaourt -  yaourt  -  - Danone - 0 - 3033491235740 - 13561390 - OFF#9ffb5713e93620a28232bb9bd618ede4
Yaourt -  yaourt  -  - Danone - 0 - 5900643038277 - 13561390 - OFF#3cdb76ac70adc6ed2b917faac77b6df1
Yaourt -  yaourt  -  - Danone - 0 - 6130646003128 - 13561390 - OFF#fa8b036dd2e4dbcef32bf006113bbb09
Yaourt -  yaourt  -  - Danone - 0 - 3033491208386 - 13561390 - OFF#76b5f9b99f87c98bc01411a30d232cd2
Yaourt -  yaourt  -  - Danone - 0 - 3033491920318 - 13561390 - OFF#6b57474329ecc35fe6828a24ba092e26
Yaourt -  yaourt  -  - Danone - 0 - 5410146417177 - 13561390 - OFF#b057f3bd83ed8d2669ea7b29518413b2
Yaourt 1919 -  yaourt 1919  -  - Danone - 0 - 3033491274138 - 3033491274138 - OFF#fb90197ae57fba65a4b56a8383d202e1
Yaourt Mixé -  yaourt mixe  -  - Danone - 0 - 3516465000150 - 3516465000150 - OFF#23d5e5351852b6bcb2f3a50550fd5f6a
Yaourt 1919 -  yaourt 1919  -  - Danone - 0 - 3033491274152 - 3033491274138 - OFF#afefd2ea79d712eed1f700b4da863456
Yaourt Sucre -  yaourt sucre  -  - Danone - 0 - 3033491208362 - 3033491208362 - OFF#6ffb8bf6afbb736de38ce4510a619ce0
----------------------------------------------------


--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/6819e8e58a37e/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Yaourt', 'normName': ' yaourt ', 'comment': '', 'normComment': '', 'rank': 8, 'id': 'OFF#d05c7bad1833108d7aac87bb2be2ae6f', 'quantity': 'un pot', 'quantityLem': '1 pot', 'pack': ['YA2.w125', 'YA9.w125'], 'type': 'food', 'gtin': '13561390', 'gtinRef': '13561390', 'brand': 'Danone', 'time': '', 'event': 'declaration', 'serving': 'YA2-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.477895975112915}
----------------------------------------------------------------------------------
LLM CPU Time: 3.477895975112915