Input path: /home/debian/html/nutritwin/output_llm/68f7244f5bb0b/input.json
Output path: /home/debian/html/nutritwin/output_llm/68f7244f5bb0b/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/68f7244f5bb0b/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": "graines de lin",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de tournesol",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de sésame",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de sarrasin",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de millet",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de courge",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "graines de lin",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de tournesol",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de sésame",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de sarrasin",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de millet",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de courge",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "graines de lin",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de tournesol",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de s\u00e9same",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de sarrasin",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de millet",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    },
    {
        "name": "graines de courge",
        "quantity": "200 g",
        "type": "food",
        "event": "unknownEvent"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'graines de lin', 'quantity': '200 g', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'graines de tournesol', 'quantity': '200 g', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'graines de sésame', 'quantity': '200 g', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'graines de sarrasin', 'quantity': '200 g', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'graines de millet', 'quantity': '200 g', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'graines de courge', 'quantity': '200 g', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'graines de lin', 'quantity': '200 g', '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 '% graine de lin %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Pain Grillé Suédois aux Graines de Lin -  pain grille suedoi au graine de lin  -  -  - 0 -  -  - CIQ#aa59fbdbcd17ce5c7e9874fcb80e99ab
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'graines de tournesol', 'quantity': '200 g', '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 '% graine de tournesol %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Graines de Tournesol -  graine de tournesol  -  -  - 734 -  -  - KCA#99d4780dd9f3d55ac8b9f480e701bed0
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'graines de sésame', 'quantity': '200 g', '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 '% graine de sesame %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Graines de Sésame -  graine de sesame  -  -  - 831 -  -  - KCA#34fb61daa31df0612dd3ad0660124801
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'graines de sarrasin', 'quantity': '200 g', '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 '% graine de sarrasin %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)

--> CPU time in DB: 0.1590 seconds
Word: Graines de Sarrasin Grillées  -  dist: 0.4775654971599579  -  row: 54867
Word: Sarrasin  -  dist: 0.5766415596008301  -  row: 35789
Word: Farine de Sarrasin  -  dist: 0.5852349996566772  -  row: 4183
Word: Flocon Précuits de Sarrasin  -  dist: 0.5965991020202637  -  row: 35475
Word: Pétales de Sarrasin  -  dist: 0.5978014469146729  -  row: 19138
Found embedding word: Graines de Sarrasin Grillées

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 = 'Graines de Sarrasin Grillées'


------------- Found solution (max 20) --------------
Graines de Sarrasin Grillées -  graine de sarrasin grillee  -  - Carrefour - 0 - 5400101049635 - 5400101049635 - OFF#1811107219b432d5e9e99ab40b437a18
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'graines de millet', 'quantity': '200 g', '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 '% graine de millet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)

--> CPU time in DB: 0.1202 seconds
Word: Farine de Millet  -  dist: 0.5380539298057556  -  row: 1176
Word: Galettes au Millet  -  dist: 0.5429885387420654  -  row: 41926
Word: Farine de Riz et Millet  -  dist: 0.5601872801780701  -  row: 40690
Word: Farine de Millet Brun  -  dist: 0.5817967057228088  -  row: 40619
Word: Galettes Depeautre au Millet  -  dist: 0.5885097980499268  -  row: 40853
Found embedding word: Farine de Millet

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 = 'Farine de Millet'

-------------------------------------------
------ERROR--------------------------------
No solution for query: 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 = 'Farine de Millet'
-------------------------------------------
-------------------------------------------

----------- result to be analyzed -----------
{'name': 'graines de courge', 'quantity': '200 g', '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 '% graine de courge %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Graines de Courge -  graine de courge  -  -  - 1636 -  -  - KCA#2061b181ecf1f65f4ebb0c0153fd1d84
----------------------------------------------------

ERROR: no solution for picto in the first solution

--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68f7244f5bb0b/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pain Grillé Suédois aux Graines de Lin', 'normName': ' pain grille suedoi au graine de lin ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#aa59fbdbcd17ce5c7e9874fcb80e99ab', 'quantity': '200 g', 'quantityLem': '200 g', 'pack': ['TR1.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 22}, {'name': 'Graines de Tournesol', 'normName': ' graine de tournesol ', 'comment': '', 'normComment': '', 'rank': 734, 'id': 'KCA#99d4780dd9f3d55ac8b9f480e701bed0', 'quantity': '200 g', 'quantityLem': '200 g', 'pack': ['POG.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}, {'name': 'Graines de Sésame', 'normName': ' graine de sesame ', 'comment': '', 'normComment': '', 'rank': 831, 'id': 'KCA#34fb61daa31df0612dd3ad0660124801', 'quantity': '200 g', 'quantityLem': '200 g', 'pack': ['CCS.w5'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}, {'name': 'Graines de Sarrasin Grillées', 'normName': ' graine de sarrasin grillee ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#1811107219b432d5e9e99ab40b437a18', 'quantity': '200 g', 'quantityLem': '200 g', 'pack': ['BOB.w30', 'BOL.w50'], 'type': 'food', 'gtin': '5400101049635', 'gtinRef': '5400101049635', 'brand': 'Carrefour', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}, {'name': 'Graines de Courge', 'normName': ' graine de courge ', 'comment': '', 'normComment': '', 'rank': 1636, 'id': 'KCA#2061b181ecf1f65f4ebb0c0153fd1d84', 'quantity': '200 g', 'quantityLem': '200 g', 'pack': ['POG.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 14.879196882247925}
----------------------------------------------------------------------------------
LLM CPU Time: 14.879196882247925