Input path: /home/debian/html/nutritwin/output_llm/68f917cf92c23/input.json Output path: /home/debian/html/nutritwin/output_llm/68f917cf92c23/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/68f917cf92c23/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": "thons", "quantity": "une boîte", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "thons", "quantity": "une boîte", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "thons", "quantity": "une bo\u00eete", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'thons', 'quantity': 'une boîte', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'thons', 'quantity': 'une boîte', '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 '% thon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Thon - thon - cru - - 846 - - - CIQ#fd211b24ee467234a212b761269a2dfb Thon - thon - rôti/cuit au four - - 0 - - - CIQ#168549919f47d923491b6ff488060902 Thon - thon - au naturel, égoutté - - 0 - - - CIQ#4b8bcfa9a2ce996d810f931b38f85529 Thon - thon - à la catalane ou à l'escabèche, sauce tomate - - 0 - - - CIQ#683893458bbaa67f37ff7a8c22a0f9a9 Thon Cru - thon cru - thon cru - - 0 - - - KCA#6a99e2a0db7f46fcedc83319e55f68f6 Thon Rouge - thon rouge - cru - - 0 - - - CIQ#6d7fe73e254501a482e93a10bd3e0719 Thon Albacore - thon albacore - thon albacore - - 0 - - - KCA#195860dd44e218b734a668d4557b58dc Thon à l'Huile - thon huile - à l'huile - - 0 - - - KCA#57f8a9edcb66f3887e20cb1bf904bf75 Thon au Naturel - thon naturel - au naturel - - 0 - - - KCA#ecbf8fc7e5624d21aec4bce8b36c615f Thon en Cocotte - thon en cocotte - en cocotte - - 0 - - - KCA#8e0faa5a159e46816640af1c4fd4dd6e Thon en Brandade - thon en brandade - en brandade - - 0 - - - KCA#e5c2fa4276c2df73ede6af6c8ba4021d Thon à la Tomate - thon tomate - miettes, égouttées - - 0 - - - CIQ#491dae5ff6e7a19dcbb09a8a5e4c2d9e Thon Frais Grillé - thon frai grille - frais grillé - - 0 - - - KCA#ef5c8ee3898db16000e8fb04965a7ae3 Thon à l'Huile de Soja - thon huile de soja - de soja - - 0 - - - KCA#0a7a1bcf07983b12ac47dc4767d574c7 Thon à l'Huile d'Olive - thon huile olive - l'huile d'olive - - 0 - - - KCA#d33c1882fa02cd9006589b140511fb8b Thon Frais à la Génoise - thon frai genoise - la génoise - - 0 - - - KCA#20f3229ef0ba1c06df6e400c3369bf71 Thon Germon ou Thon Blanc - thon germon ou thon blanc - cru - - 0 - - - CIQ#539ae44844c3e341d5e625c0182355d8 Thon Germon ou Thon Blanc - thon germon ou thon blanc - à la vapeur sous pression - - 0 - - - CIQ#97aaaa9495cd4baab1ea41320cece5e6 Thon Germon ou Thon Blanc - thon germon ou thon blanc - à l'huile d'olive, égoutté - - 0 - - - CIQ#d1684c309d9268f4cab7cd8632883db9 Thon Albacore ou Thon Jaune - thon albacore ou thon jaune - cru - - 0 - - - CIQ#249aeccc205039649ed16f091dd9d2bb ---------------------------------------------------- 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/68f917cf92c23/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Thon', 'normName': ' thon ', 'comment': 'au naturel, égoutté', 'normComment': ' naturel egoutte ', 'rank': 0, 'id': 'CIQ#4b8bcfa9a2ce996d810f931b38f85529', 'quantity': 'une boîte', 'quantityLem': '1 boite', 'pack': ['TH1.w190', 'TH2.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TH1-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.4667680263519287} ---------------------------------------------------------------------------------- LLM CPU Time: 1.4667680263519287