Input path: /home/debian/html/nutritwin/output_llm/67bc49d61556e/input.json Output path: /home/debian/html/nutritwin/output_llm/67bc49d61556e/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/67bc49d61556e/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: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix 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": "chips", "quantity": "un sachet", "type": "food", "event": "declaration", "brand": "Lay's", "company": "PepsiCo" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "chips", "quantity": "un sachet", "type": "food", "event": "declaration", "brand": "Lay's", "company": "PepsiCo" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "chips", "quantity": "un sachet", "type": "food", "event": "declaration", "brand": "Lay's", "company": "PepsiCo" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'chips', 'quantity': 'un sachet', 'type': 'food', 'event': 'declaration', 'brand': "Lay's", 'company': 'PepsiCo'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'chips', 'quantity': 'un sachet', 'type': 'food', 'event': 'declaration', 'brand': "Lay's", 'company': 'PepsiCo'} 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 '% chip %' AND V_NormTrademark LIKE '%lay s%' ------------- Found solution (max 20) -------------- Chips - chip - - Lay's - 0 - 3168930008996 - 3168930008996 - OFF#361bdd99a809e1adf38ff946e1f31619 Chips - chip - - Lay's - 0 - 8710398603838 - 3168930008996 - OFF#44a9f173bb10366c230a92b8adfc4fbc Chips - chip - - Lay's - 0 - 6924743919846 - 3168930008996 - OFF#18d05ab1068bec63d7515dab9385a8ac Chips - chip - - Lay's - 0 - 8710398507051 - 3168930008996 - OFF#1868e774ed711fbbedfe431e8d1c7c28 Chips Lays - chip lay - - Lay's - 0 - 6281036114600 - 6281036114600 - OFF#6762b9bbecb5f09fcec49d512d45a0b7 Chip'S Lays - chip lay - - Lay's - 0 - 8410199017321 - 6281036114600 - OFF#a6dc149513b9c4e118fe32bbade20e0f Chips Lay S - chip lay - - Lay's - 0 - 8710398502933 - 6281036114600 - OFF#fc0a2087323ca56aefae2cca549732e0 Chips Nature - chip nature - - Lay's - 0 - 3168930003809 - 3168930003809 - OFF#08e56270e61813157606d89c505b8eb9 Chips Origan - chip origan - - Lay's - 0 - 5201024781134 - 5201024781134 - OFF#078323fa38ad00d81600becc1429b6df Chips Nature - chip nature - - Lay's - 0 - 3168930103998 - 3168930003809 - OFF#870be763352239b2ea0f851ae7980602 Chips Nature - chip nature - - Lay's - 0 - 3168930171737 - 3168930003809 - OFF#188c13ce23534e5bb95abd56d12540a6 Chips Nature - chip nature - - Lay's - 0 - 3168930010494 - 3168930003809 - OFF#08df5dc4c1bf33ee7827d9d617ddc963 Chips Fromage - chip fromage - - Lay's - 0 - 3168930006732 - 3168930006732 - OFF#22a417443719d53fb18666b64c98cc79 Chips Pickles - chip pickle - - Lay's - 0 - 5410048100900 - 5410048100900 - OFF#30c5f585f7267b8dbe3e447290da4b4f Chips au Café - chip cafe - - Lay's - 0 - 6924743925861 - 6924743925861 - OFF#f8a5903e3bcff224188b2e4916018282 Chips Naturel - chip naturel - - Lay's - 0 - 8710398601629 - 8710398601629 - OFF#88cb117e0297fda22c8f271ffd6b3c17 Chips Pickles - chip pickle - - Lay's - 0 - 8710398524423 - 5410048100900 - OFF#ac44b4822843ef049ac6fdbd52b01ac0 Chips Pickles - chip pickle - - Lay's - 0 - 8710398500458 - 5410048100900 - OFF#075dd8ef9ee44bc76576fd1b300e18ce Chips Barbecue - chip barbecue - - Lay's - 0 - 3168930007432 - 3168930007432 - OFF#b52da959e7b9c1c53903700e77d8c7de Chips Paysanne - chip paysanne - - Lay's - 0 - 3168930448419 - 3168930448419 - OFF#63610b51d988579637b8274e9064caef ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67bc49d61556e/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Chips', 'normName': ' chip ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#361bdd99a809e1adf38ff946e1f31619', 'quantity': 'un sachet', 'quantityLem': '1 sachet', 'pack': ['CHI.w4'], 'type': 'food', 'gtin': '3168930008996', 'gtinRef': '3168930008996', 'brand': "Lay's", 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.4104325771331787} ---------------------------------------------------------------------------------- LLM CPU Time: 3.4104325771331787