Input path: /home/debian/html/nutritwin/output_llm/6849583621e77/input.json
Output path: /home/debian/html/nutritwin/output_llm/6849583621e77/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/6849583621e77/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": "pâtes rigates",
        "quantity": "plusieurs",
        "cookingMethod": "cuites",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "tomates cerises",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "olives noires",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "olives vertes",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "pâtes rigates",
        "quantity": "plusieurs",
        "cookingMethod": "cuites",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "tomates cerises",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "olives noires",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "olives vertes",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "p\u00e2tes rigates",
        "quantity": "plusieurs",
        "cookingMethod": "cuites",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "tomates cerises",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "olives noires",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "olives vertes",
        "quantity": "plusieurs",
        "type": "food",
        "event": "declaration"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'pâtes rigates', 'quantity': 'plusieurs', 'cookingMethod': 'cuites', 'type': 'food', 'event': 'declaration'}, {'name': 'tomates cerises', 'quantity': 'plusieurs', 'type': 'food', 'event': 'declaration'}, {'name': 'olives noires', 'quantity': 'plusieurs', 'type': 'food', 'event': 'declaration'}, {'name': 'olives vertes', 'quantity': 'plusieurs', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'pâtes rigates', 'quantity': 'plusieurs', 'cookingMethod': 'cuites', '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 '% pate rigate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)

--> CPU time in DB: 0.1114 seconds
Word: Pâtes Spaghetti Rigati  -  dist: 0.4431459903717041  -  row: 61642
Word: Pâtes  -  dist: 0.5318261384963989  -  row: 4106
Word: Lot Pâtes Penne Rigate  -  dist: 0.5415819883346558  -  row: 9773
Word: Barilla Pates Rigatoni  -  dist: 0.5482511520385742  -  row: 61455
Word: Pâtes Penne Rigate Cuisson 3 Min  -  dist: 0.5492954254150391  -  row: 9777
Found embedding word: Pâtes Spaghetti Rigati

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 = 'Pâtes Spaghetti Rigati'


------------- Found solution (max 20) --------------
Pâtes Spaghetti Rigati -  pate spaghetti rigati  -  - Barilla - 0 - 8076809571043 - 8076809571043 - OFF#86629d880639f881b8c979825764fb63
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'tomates cerises', '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 '% 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
----------------------------------------------------

ERROR: no solution for picto in the first solution
ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'olives noires', '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 '% olive noire %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Olive Noire -  olive noire  - à l'huile, à la grecque -  - 0 -  -  - CIQ#972254b7dd363b013d44747003b87b69
Canard aux Olives Noires -  canard au olive noire  -  -  - 4 -  -  - KCA#1709c903a5fd933fc49f8a0d198c608d
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'olives vertes', '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 '% olive verte %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Olive Verte -  olive verte  - en saumure, égouttée -  - 0 -  -  - CIQ#447c6790511a37978ebd415e44c06a3d
Canard aux Olives Vertes -  canard au olive verte  -  -  - 6 -  -  - KCA#dcebad0868aa8dbb180dead0fcddf6fe
----------------------------------------------------

ERROR: no solution for picto in the first solution

--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/6849583621e77/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pâtes Spaghetti Rigati', 'normName': ' pate spaghetti rigati ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#86629d880639f881b8c979825764fb63', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['NO2.w150'], 'type': 'food', 'gtin': '8076809571043', 'gtinRef': '8076809571043', 'brand': 'Barilla', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Tomate Cerise', 'normName': ' tomate cerise ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 0, 'id': 'CIQ#9f76e2172737f480f1c9b66f3627bfb0', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['CER.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Olive Noire', 'normName': ' olive noire ', 'comment': "à l'huile, à la grecque", 'normComment': ' huile grecque ', 'rank': 0, 'id': 'CIQ#972254b7dd363b013d44747003b87b69', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['UN2.w4'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Olive Verte', 'normName': ' olive verte ', 'comment': 'en saumure, égouttée', 'normComment': ' en saumure egouttee ', 'rank': 0, 'id': 'CIQ#447c6790511a37978ebd415e44c06a3d', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['UN2.w4'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 7.219397783279419}
----------------------------------------------------------------------------------
LLM CPU Time: 7.219397783279419