Input path: /home/debian/html/nutritwin/output_llm/67e1a3205f23d/input.json Output path: /home/debian/html/nutritwin/output_llm/67e1a3205f23d/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/67e1a3205f23d/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": "haricots verts", "quantity": "une portion", "cookingMethod": "cuits", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "haricots verts", "quantity": "une portion", "cookingMethod": "cuits", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "haricots verts", "quantity": "une portion", "cookingMethod": "cuits", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'haricots verts', 'quantity': 'une portion', 'cookingMethod': 'cuits', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'haricots verts', 'quantity': 'une portion', 'cookingMethod': 'cuits', '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 '% haricot vert %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Haricot Vert - haricot vert - - - 0 - - - CIQ#efedc12de30a6792e4cce0ac909b0d59 Haricot Vert - haricot vert - surgelé - - 154 - - - CIQ#1a6e737ae6a199c819eec98d3e1a2590 Haricot Vert - haricot vert - égoutté - - 0 - - - CIQ#1177b9c2ec6d59b48e0d39839eb385d1 Haricot Vert - haricot vert - surgelé, cru - - 0 - - - CIQ#5aa98988b46740cd326d667185454972 Haricot Vert - haricot vert - bouilli/cuit à l'eau - - 0 - - - CIQ#3e5509a19b13f2e075fd2fe795791079 Haricots Verts - haricot vert - - - 17373 - - - KCA#efedc12de30a6792e4cce0ac909b0d59 Haricots Verts Cuits - haricot vert cuit - - - 7959 - - - KCA#254c7444b4cf283538fad5895a542d22 Haricots Verts Lardons - haricot vert lardon - - - 100 - - - KCA#6874f69a8ead359116ae7a390050180e Haricots Verts Conserve - haricot vert conserve - - - 1425 - - - KCA#e1bb57c29ed7d08fa3282fc598eed53d Haricots Verts Surgelés - haricot vert surgele - - - 0 - - - KCA#2bf9488248010e76fac38dbee693d2a9 Haricots Verts à l'Anglais - haricot vert anglai - - - 23 - - - KCA#4926dc105068b5d8ef3052494e32fb21 Haricots Verts Bonne Maman - haricot vert bonne maman - - - 19 - - - KCA#60739f2d4a2d1811dc58dc35bd21b37a Haricots Verts Tourangelle - haricot vert tourangelle - - - 6 - - - KCA#b8ce290d4a33dd03b27ac2fa8a814753 Haricots Verts à la Fermière - haricot vert fermiere - - - 26 - - - KCA#ed6a0aa7718396235e74a369bf983542 Haricots Verts à la Sauce Tomate - haricot vert sauce tomate - - - 83 - - - KCA#168eaf3d7514042587c42989056107d3 Poulet et Haricots Verts au Citron Confit - poulet haricot vert citron confit - - - 14 - - - KCA#03f4683e4348d0279a3a432205dbc751 Purée de Haricots Verts - puree de haricot vert - - - 32 - - - KCA#53cb0275faf96a7122d34fc8d19ad23d Boeuf Haché aux Haricots Verts Piquants - boeuf hache au haricot vert piquant - - - 15 - - - KCA#34ba50fafe3cd0eaa5b78ce743e01f37 Côtes de Veau à la Crème de Haricots Verts - cote de veau creme de haricot vert - - - 18 - - - KCA#9c8766ceb23aa4570d059fd20af5a0b3 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67e1a3205f23d/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Haricot Vert', 'normName': ' haricot vert ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#efedc12de30a6792e4cce0ac909b0d59', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'LEG-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 11.51095175743103} ---------------------------------------------------------------------------------- LLM CPU Time: 11.51095175743103