Input path: /home/debian/html/nutritwin/output_llm/67f4b2a63e7bd/input.json Output path: /home/debian/html/nutritwin/output_llm/67f4b2a63e7bd/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/67f4b2a63e7bd/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": "compote de pomme", "quantity": "100 g", "brand": "Andros", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "compote de pomme", "quantity": "100 g", "brand": "Andros", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "compote de pomme", "quantity": "100 g", "brand": "Andros", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'compote de pomme', 'quantity': '100 g', 'brand': 'Andros', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'compote de pomme', 'quantity': '100 g', 'brand': 'Andros', '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 '% compote de pomme %' AND V_NormTrademark LIKE '%andros%' ------------- Found solution (max 20) -------------- Compote de Pomme - compote de pomme - - Andros - 0 - 3045320510577 - 3045320510577 - OFF#3c0f7199104f78ff2f20688da56c94e1 Compote de Pomme - compote de pomme - - Andros - 0 - 3608580038092 - 3045320510577 - OFF#a3f9ccf3e7be8d2d5a95a4c0e24cd280 Compote de Pomme - compote de pomme - - Andros - 0 - 3608580025948 - 3045320510577 - OFF#0c2c87b75bbe1095d8d964fe55a86084 Compote de Pomme - compote de pomme - - Andros - 0 - 3608580867968 - 3045320510577 - OFF#320df597943ba3468a67431e6b7fdcfa Compote de Pomme - compote de pomme - - Andros - 0 - 3608580754275 - 3045320510577 - OFF#64e3303d563340cec540e2e3e69669a2 Compote de Pomme BIO - compote de pomme bio - - Andros - 0 - 3608580013228 - 3608580013228 - OFF#57adf7b6c4aba7fc43b72989226cb000 Compote de Pomme Allégée - compote de pomme allegee - - Andros - 0 - 3045320517101 - 3045320517101 - OFF#e7cb8643322bb3ac5508e2472521f9f4 Compote de Pommes Morceaux - compote de pomme morceau - - Andros - 0 - 3045320076127 - 3045320076127 - OFF#2b2cde753dbc02b14617c2b7e285ec50 Compote de Pomme et de Poire - compote de pomme de poire - - Andros - 0 - 3608580072171 - 3608580072171 - OFF#6a733c365f8c252ea42d2c15491e007f Compote de Pommes à la Vanille - compote de pomme vanille - - Andros - 0 - 3608580773276 - 3608580773276 - OFF#181b2eff09b761bf4e7101183cb5ba4e Compote de Pommes sans Sucre Ajouté - compote de pomme san sucre ajoute - - Andros - 0 - 3608580783602 - 3608580783602 - OFF#7030f047cd513188b7b32351baf4ebb2 ---------------------------------------------------- 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 ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67f4b2a63e7bd/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Compote de Pomme', 'normName': ' compote de pomme ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#3c0f7199104f78ff2f20688da56c94e1', 'quantity': '100 g', 'quantityLem': '100 g', 'pack': ['YA1.w125'], 'type': 'food', 'gtin': '3045320510577', 'gtinRef': '3045320510577', 'brand': 'Andros', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.842275857925415} ---------------------------------------------------------------------------------- LLM CPU Time: 2.842275857925415