Input path: /home/debian/html/nutritwin/output_llm/67ec31a43ded5/input.json Output path: /home/debian/html/nutritwin/output_llm/67ec31a43ded5/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/67ec31a43ded5/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": "poulet", "quantity": "un morceau", "cookingMethod": "rôti", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "poulet", "quantity": "un morceau", "cookingMethod": "rôti", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "poulet", "quantity": "un morceau", "cookingMethod": "r\u00f4ti", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'poulet', 'quantity': 'un morceau', 'cookingMethod': 'rôti', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'poulet', 'quantity': 'un morceau', 'cookingMethod': 'rôti', '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 '% poulet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Poulet - poulet - - - 8795 - - - KCA#2b8a36538eae9db1a126faeda234fa36 Poulet - poulet - escalope panée - - 0 - - - CIQ#bae631670e62c77d45034eff236a1db0 Poulet - poulet - croquette panée ou nuggets - - 0 - - - CIQ#d8096293142be1614c2e2d792fb0d135 Poulet - poulet - cuisse, viande et peau, cru - - 0 - - - CIQ#7de39f1b0aefe1479f456f2eeffe360d Poulet - poulet - filet, sans peau, sauté/poêlé - - 0 - - - CIQ#bdeff1663af053ba0ef4dfc523f03224 Poulet - poulet - cuisse, viande, rôti/cuit au four - - 0 - - - CIQ#2760b1ebd16b8f276e8dc49751990e69 Poulet - poulet - viande et peau, rôti/cuit au four - - 0 - - - CIQ#ea614234aa25e31d1b1bd4f1dbbbce1a Poulet - poulet - filet, sans peau, sauté/poêlé, bio - - 0 - - - CIQ#8d157895c46690cf07811470dcb92052 Poulet - poulet - cuisse, viande, bouilli/cuit à l'eau - - 0 - - - CIQ#698505f6db4f71029aeeab2e3a06e19c Poulet - poulet - manchons marinés, rôtis/cuits au four - - 0 - - - CIQ#960d39abb32cc5f3c56126dfd2e03e8f Poulet - poulet - aile, viande et peau, rôti/cuit au four - - 0 - - - CIQ#f9c58ba832cc3603548917e8084ee304 Poulet - poulet - cuisse, viande et peau, rôtie/cuite au four - - 0 - - - CIQ#124b0a1b1080244ea5c3ca52f7866c32 Poulet - poulet - poitrine, viande et peau, rôti/cuit au four - - 0 - - - CIQ#e3de333fab10eb5afe51680b6cb1d486 Poulet - poulet - cuisse, viande et peau, bouilli/cuit à l'eau - - 0 - - - CIQ#b2d906c4947a322c9b05108f5b1a0ae3 Poulet Rôti - poulet roti - - - 10622 - - - KCA#8f4155b2705cf340fe3f2777bcfbe7ea Poulet Frit - poulet frit - - - 2594 - - - KCA#dd0ae748ef0c8413ce4c89f25d8229d1 Poulet Marengo - poulet marengo - - - 57 - - - KCA#f706ed1fc95afe84c20df295d5844034 Poulet à l'Ail - poulet ail - - - 51 - - - KCA#ada607ff9b9084654b8663e6d96eaa93 Poulet au Miel - poulet miel - et salade de Fenouil et Céleri à la crème - - 43 - - - KCA#10b8495a1834253e87733dc33ffcfd80 Poulet au Curry - poulet curry - - - 1421 - - - KCA#89f6cd1b00b67266a7db24596103e009 ---------------------------------------------------- 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 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 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/67ec31a43ded5/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Poulet', 'normName': ' poulet ', 'comment': '', 'normComment': '', 'rank': 8795, 'id': 'KCA#2b8a36538eae9db1a126faeda234fa36', 'quantity': 'un morceau', 'quantityLem': '1 morceau', 'pack': ['POU.w100', 'CUI.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.196255683898926} ---------------------------------------------------------------------------------- LLM CPU Time: 4.196255683898926