Input path: /home/debian/html/nutritwin/output_llm/6808cdb336d9f/input.json Output path: /home/debian/html/nutritwin/output_llm/6808cdb336d9f/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/6808cdb336d9f/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": "galettes", "quantity": "un paquet", "type": "food", "brand": "Bjorg", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "galettes", "quantity": "un paquet", "type": "food", "brand": "Bjorg", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "galettes", "quantity": "un paquet", "type": "food", "brand": "Bjorg", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'galettes', 'quantity': 'un paquet', 'type': 'food', 'brand': 'Bjorg', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'galettes', 'quantity': 'un paquet', 'type': 'food', 'brand': 'Bjorg', 'event': 'unknownEvent'} 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 '% galette %' AND V_NormTrademark LIKE '%bjorg%' ------------- Found solution (max 20) -------------- Galettes - galette - - Bjorg - 0 - 3229520794634 - 3229520794634 - OFF#ba96af5015694c35411a47cbb5e3c304 Galette de Mais - galette de mai - - Bjorg - 0 - 3229820794648 - 3229820769141 - OFF#ca04cab199f1bf1b5ca793a0f219cfa3 Galettes de Maïs - galette de mai - - Bjorg - 0 - 3229820769141 - 3229820769141 - OFF#54c02bdd3c4c6519ee18831252dd4e98 Galette Riz Quinoa - galette riz quinoa - - Bjorg - 0 - 3229820792934 - 3229820792934 - OFF#baaece3cd26172fb05c60f50b99a5d8d Galettes Riz Sésame - galette riz sesame - - Bjorg - 0 - 3229820118888 - 3229820118888 - OFF#896a3244add8b51b49f6852cf361c139 Galettes 4 Céréales - galette cereale - - Bjorg - 0 - 3229820794631 - 3229820794631 - OFF#597ebf4b0b7f920e6c22835e87143fab Galettes Riz Sésame - galette riz sesame - - Bjorg - 0 - 3229820167657 - 3229820118888 - OFF#859019b98b9da672020ccd361e81f5e0 Galettes Riz Sésame - galette riz sesame - - Bjorg - 0 - 3229820795140 - 3229820118888 - OFF#4084720f5a6f80391089177f7b3d2d35 Galettes Riz Sésame - galette riz sesame - - Bjorg - 0 - 3229820167398 - 3229820118888 - OFF#0c3d327c01cf5fd035d4417b267ac626 Galettes 4 Céréales - galette cereale - - Bjorg - 0 - 3229844794631 - 3229820794631 - OFF#25340b779e6da9787d07482115f1136f Galettes 4 Céréales - galette cereale - - Bjorg - 0 - 3229820795058 - 3229820794631 - OFF#a81a8dd627699727191edc8d2ab6a895 Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820019062 - 3229820019062 - OFF#d4dc6ea746186e97bef04f4b5ac82db8 Galettes aux Legumes - galette au legume - - Bjorg - 0 - 3229820794952 - 3229820794952 - OFF#aaffe7eef776c3bc0e9e0b950a0c0e1b Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820795041 - 3229820019062 - OFF#125b1f49c1678b1316649aaaad88e796 Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820792682 - 3229820019062 - OFF#274b1f417de93499b10d6b3bed4e1da7 Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820780825 - 3229820019062 - OFF#3b1465bed60c4891a4a223d465cc3523 Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820795027 - 3229820019062 - OFF#53c2d0f7963eb7dbd7a4e83f910ca459 Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820810300 - 3229820019062 - OFF#fec2ec4e3d1384ba4b49ad99e3f8c481 Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229820796178 - 3229820019062 - OFF#c03ef28c42957d823b59e00a3285bb4d Galettes Riz Complet - galette riz complet - - Bjorg - 0 - 3229920797624 - 3229820019062 - OFF#2c4c12e8e6004359adf12aa54c0b2328 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/6808cdb336d9f/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Galettes', 'normName': ' galette ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#ba96af5015694c35411a47cbb5e3c304', 'quantity': 'un paquet', 'quantityLem': '1 paquet', 'pack': ['BOB.w30', 'BOL.w50'], 'type': 'food', 'gtin': '3229520794634', 'gtinRef': '3229520794634', 'brand': 'Bjorg', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 10.031574010848999} ---------------------------------------------------------------------------------- LLM CPU Time: 10.031574010848999