Input path: /home/debian/html/nutritwin/output_llm/6814b0186a49e/input.json
Output path: /home/debian/html/nutritwin/output_llm/6814b0186a49e/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/6814b0186a49e/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": "hamburger",
        "quantity": "un",
        "cookingMethod": "grill\u00e9",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "frites",
        "quantity": "une portion",
        "cookingMethod": "frites",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "boisson rouge",
        "quantity": "un verre",
        "type": "beverage",
        "event": "declaration"
    }
]
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
[
    {
        "name": "hamburger",
        "quantity": "un",
        "cookingMethod": "grill\u00e9",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "frites",
        "quantity": "une portion",
        "cookingMethod": "frites",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "boisson rouge",
        "quantity": "un verre",
        "type": "beverage",
        "event": "declaration"
    }
]
------------------------------------------------------

------------------------ After simplification ------------------------
[
    {
        "name": "hamburger",
        "quantity": "un",
        "cookingMethod": "grill\u00e9",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "frites",
        "quantity": "une portion",
        "cookingMethod": "frites",
        "type": "food",
        "event": "declaration"
    },
    {
        "name": "boisson rouge",
        "quantity": "un verre",
        "type": "beverage",
        "event": "declaration"
    }
]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'hamburger', 'quantity': 'un', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'declaration'}, {'name': 'frites', 'quantity': 'une portion', 'cookingMethod': 'frites', 'type': 'food', 'event': 'declaration'}, {'name': 'boisson rouge', 'quantity': 'un verre', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'hamburger', 'quantity': 'un', 'cookingMethod': 'grillé', '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 '% hamburger %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Hamburger -  hamburger  - provenant de fast food -  - 0 -  -  - CIQ#c10a5ce03cc9db08facab760bd900ddd
Hamburger au Bleu -  hamburger bleu  -  -  - 235 -  -  - KCA#b588d98a9225d4f0c4c4edbd4f6dfb60
Hamburger au Fromage -  hamburger fromage  -  -  - 486 -  -  - KCA#c23ba0be0ce05ecf80edcc7c9c3c6652
Pain pour Hamburger -  pain pour hamburger  -  -  - 386 -  -  - KCA#54ed6c7f151f2acb0f95aefbae574187
----------------------------------------------------


----------- result to be analyzed -----------
{'name': 'frites', 'quantity': 'une portion', 'cookingMethod': 'frites', '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 '% frite %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Frites 'Maison' -  frite maison  -  -  - 3422 -  -  - KCA#6ec1e15ff73bcad3fbd051039b73bfa2
Frites de Pommes de Terre -  frite de pomme de terre  - surgelées, en friteuse -  - 16744 -  -  - CIQ#0c4d57d24137dff14aa6bf376be13ca2
Frites de Pommes de Terre -  frite de pomme de terre  - surgelées, rôties/cuites au four -  - 0 -  -  - CIQ#571d6b6d0f633390e25650e96b014751
Frites de Pommes de Terre -  frite de pomme de terre  - surgelées, préfrites, pour cuisson en friteuse -  - 0 -  -  - CIQ#21ddc69ae4c8625a72bf312be19b18c3
Frites de Pommes de Terre -  frite de pomme de terre  - surgelées, préfrites, pour cuisson micro-ondes -  - 0 -  -  - CIQ#c18841fb320bbdc344009a2125172a51
Frites de Pommes de Terre -  frite de pomme de terre  - surgelées, préfrites, pour cuisson rôtie/ au four -  - 0 -  -  - CIQ#2b65d7822d2029d73d7a8cdadd16e13a
Frites Surgelées à Cuire au Four -  frite surgelee cuire four  -  -  - 152 -  -  - KCA#794e98f1683c35824e6507d3fe252634
Steak Frites -  steak frite  - steak frites -  - 0 -  -  - KCA#7b6b2abd661e1054cfba0cf998b2743f
Morue Frite à la Toulonnaise -  morue frite toulonnaise  -  -  - 16 -  -  - KCA#bd216e7cd84a2d4d1a581f9eb62190e3
Courgettes Frites -  courgette frite  -  -  - 207 -  -  - KCA#959d0fa787188921ad4497a575b243ab
Limande Panée Frite -  limande panee frite  -  -  - 107 -  -  - KCA#2c105974e5192e41d62c0780e57f7604
Pomme de Terre Frites -  pomme de terre frite  -  -  - 178 -  -  - KCA#d9391c743d3aee9e28d0940b17624718
Pomme de Terre Frites Cuites Non Salée -  pomme de terre frite cuite non salee  -  -  - 23 -  -  - KCA#f19fd72e799df4bd4db76e1e319135fd
Langoustine, Panée, Frite -  langoustine panee frite  -  -  - 7 -  -  - KCA#f3292cd52902facb04347cf1a7282593
----------------------------------------------------


----------- result to be analyzed -----------
{'name': 'boisson rouge', 'quantity': 'un verre', 'type': 'beverage', '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 '% boisson rouge %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)

--> CPU time in DB: 0.1163 seconds
Word: Boisson aux Fruits Rouges  -  dist: 0.49035167694091797  -  row: 30856
Word: Boisson aux Fruits Fruits Rouges  -  dist: 0.5496587753295898  -  row: 32388
Word: Boisson Pétillante Fruits Rouges  -  dist: 0.5731305480003357  -  row: 49520
Word: La Boîte Rouge  -  dist: 0.618401825428009  -  row: 59264
Word: l'A Boisson  -  dist: 0.6200611591339111  -  row: 41741
Found embedding word: Boisson aux Fruits Rouges

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 = 'Boisson aux Fruits Rouges'


------------- Found solution (max 20) --------------
Boisson aux Fruits Rouges -  boisson au fruit rouge  -  - U - 0 - 3256228670243 - 3256228670243 - OFF#b162b79972f2a04811e013707110f745
----------------------------------------------------


--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/6814b0186a49e/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Hamburger', 'normName': ' hamburger ', 'comment': 'provenant de fast food', 'normComment': ' provenant de fast food ', 'rank': 0, 'id': 'CIQ#c10a5ce03cc9db08facab760bd900ddd', 'quantity': 'un', 'quantityLem': '1', 'pack': ['HAM.w250'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'HAM-100', 'posiNormName': 0}, {'name': "Frites 'Maison'", 'normName': ' frite maison ', 'comment': '', 'normComment': '', 'rank': 3422, 'id': 'KCA#6ec1e15ff73bcad3fbd051039b73bfa2', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['FRI.w200', 'APL.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'FRI-100', 'posiNormName': 0}, {'name': 'Boisson aux Fruits Rouges', 'normName': ' boisson au fruit rouge ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#b162b79972f2a04811e013707110f745', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '3256228670243', 'gtinRef': '3256228670243', 'brand': 'U', 'time': '', 'event': 'declaration', 'serving': 'BI4-100', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 5.993912935256958}
----------------------------------------------------------------------------------
LLM CPU Time: 5.993912935256958