Input path: /home/debian/html/nutritwin/output_llm/680a798fc0c11/input.json
Output path: /home/debian/html/nutritwin/output_llm/680a798fc0c11/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/680a798fc0c11/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": "laitue",
        "quantity": "plusieurs feuilles",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "croutons",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "tomate cerise",
        "quantity": "deux",
        "type": "food",
        "event": "declaration"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "laitue",
        "quantity": "plusieurs feuilles",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "croutons",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "tomate cerise",
        "quantity": "deux",
        "type": "food",
        "event": "declaration"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "laitue",
        "quantity": "plusieurs feuilles",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "croutons",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "tomate cerise",
        "quantity": "deux",
        "type": "food",
        "event": "declaration"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'laitue', 'quantity': 'plusieurs feuilles', 'type': 'food', 'event': 'declaration'}, {'name': 'croutons', 'quantity': 'plusieurs', 'type': 'food', 'event': 'declaration'}, {'name': 'tomate cerise', 'quantity': 'deux', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'laitue', 'quantity': 'plusieurs feuilles', '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 '% laitue %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Laitue Cuite -  laitue cuite  -  -  - 30 -  -  - KCA#3fc231d5d13ea9ea9e5b066d6f26bdc0
Laitue de Mer -  laitue de mer  - Ulva sp., séchée ou déshydratée -  - 0 -  -  - CIQ#c959afcc0aa071ec5d9399df439e0fad
Laitues Farcies -  laitue farcie  -  -  - 3 -  -  - KCA#7163344a51e0604fbb5c947f09f514e1
Laitue Romaine Crue -  laitue romaine crue  -  -  - 0 -  -  - KCA#af01736b89483da6245a3e9975201caf
Potage à la Laitue -  potage laitue  -  -  - 5 -  -  - KCA#6706b7ac4ed7cda61eb5dd4e9bd60f2b
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'croutons', 'quantity': 'plusieurs', '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 '% crouton %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Croûtons Nature -  crouton nature  -  -  - 0 -  -  - CIQ#7ad5587da438d29bb127927225454069
Croûton à Tartiner -  crouton tartiner  -  -  - 0 -  -  - CIQ#9c978f1e7b7189d1e8d1dce57936a092
Croûton à l'Ail aux Fines Herbes ou aux Oignons -  crouton ail au fine herbe ou au oignon  -  -  - 0 -  -  - CIQ#2fdf1f7cb4336c5e26f56e258f5d8116
Cailles aux Croutons -  caille au crouton  -  -  - 2 -  -  - KCA#2154a6a646ed5e63187d8baf2a5aab9c
Alouette Sur Croutons -  alouette sur crouton  -  -  - 1 -  -  - KCA#d44a83f1977df8b76d438e61a0afecf6
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'tomate cerise', 'quantity': 'deux', '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 '% tomate cerise %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
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
----------------------------------------------------


--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/680a798fc0c11/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Laitue Cuite', 'normName': ' laitue cuite ', 'comment': '', 'normComment': '', 'rank': 30, 'id': 'KCA#3fc231d5d13ea9ea9e5b066d6f26bdc0', 'quantity': 'plusieurs feuilles', 'quantityLem': 'plusieur feuille', 'pack': ['APL.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Croûtons Nature', 'normName': ' crouton nature ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#7ad5587da438d29bb127927225454069', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['UN2.w6'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Tomate Cerise', 'normName': ' tomate cerise ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 0, 'id': 'CIQ#9f76e2172737f480f1c9b66f3627bfb0', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['CER.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'CER-20', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 6.348774194717407}
----------------------------------------------------------------------------------
LLM CPU Time: 6.348774194717407