Input path: /home/debian/html/nutritwin/output_llm/6888ae8238ed5/input.json Output path: /home/debian/html/nutritwin/output_llm/6888ae8238ed5/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/6888ae8238ed5/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": "pêche", "quantity": "une", "type": "food", "event": "declaration" }, { "name": "abricot", "quantity": "une tranche", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "pêche", "quantity": "une", "type": "food", "event": "declaration" }, { "name": "abricot", "quantity": "une tranche", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "p\u00eache", "quantity": "une", "type": "food", "event": "declaration" }, { "name": "abricot", "quantity": "une tranche", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pêche', 'quantity': 'une', 'type': 'food', 'event': 'declaration'}, {'name': 'abricot', 'quantity': 'une tranche', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pêche', 'quantity': 'une', '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 '% peche %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pêche - peche - - - 15131 - - - KCA#2c2eecc0723dd0a72a296f2b3fa97bb1 Pêche Melba - peche melba - - - 49 - - - CIQ#d0c5671bdca24a3d61427ba318fef8d3 Pêche Jaune - peche jaune - pulpe, crue - - 0 - - - CIQ#80136decf14ee9c83a22b60a3cfc542b Pêches Melba - peche melba - - - 0 - - - KCA#d0c5671bdca24a3d61427ba318fef8d3 Pêches au Vin - peche vin - - - 39 - - - KCA#a59eaab7bfcb9b09ada234a6e2c1a7d3 Pêche Blanche - peche blanche - pulpe, crue - - 0 - - - CIQ#49f7ea31930a9386e97a815ce44f0b3b Pêche Blanche - peche blanche - pulpe et peau, crue - - 0 - - - CIQ#a8a23e1aa1bdffaad69b40b2478a8c8c Pêches Glacées - peche glacee - - - 2 - - - KCA#e91f54d022fff5090ee9691906e259a6 Pêches au Sirop - peche sirop - - - 306 - - - KCA#701671d90b695a21e6bae526b18dc6da Jus de Pêche et Framboise - ju de peche framboise - - - 119 - - - KCA#58f2808a3d83a05541bb1fba5ba32da5 Porc aux Pèches Aigres-douces - porc au peche aigre douce - - - 13 - - - KCA#717c3c284384a44ff4158c88c2ddfddc Nectar de Pêche - nectar de peche - - - 0 - - - KCA#f631a66675664f6f0a4ceb3c24e4b862 Canard aux Pêches - canard au peche - - - 4 - - - KCA#d736376982bb969a1344ef40690a10f3 Poulet Fumé à la Pêche - poulet fume peche - et aux Noix de pécan - - 12 - - - KCA#e3dbd37c1e46065eb3bd1ca1de5d2ead Coupe Glacée Parfum Pêche Melba ou Poire Belle-hélène - coupe glacee parfum peche melba ou poire belle helene - - - 0 - - - CIQ#18addaf81f623dec4269d099214f421f ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'abricot', 'quantity': 'une tranche', '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 '% abricot %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Abricot - abricot - dénoyauté, cru - - 0 - - - CIQ#51e9f18ce6019402c241981d81000696 Abricot - abricot - dénoyauté, sec - - 0 - - - CIQ#fd17a042897c800bb68fbefc2a1f6839 Abricot - abricot - dénoyauté, sec, moelleux, réhydraté à 35-45% - - 0 - - - CIQ#f7ffcd66220b07f3e431d753e19f7dfd Abricot Sec - abricot sec - - - 2891 - - - KCA#a4765aa518aa238c690d01aa9f40aaf6 Abricot Frais - abricot frai - - - 12951 - - - KCA#ae0959ad3e09e2f660d26aff2e8c5458 Abricots Surprise - abricot surprise - - - 0 - - - KCA#941282986b3187b3aa783b4b3691c4b8 Abricots à la Crème - abricot creme - - - 10 - - - KCA#3d7a09ff94172d36026e231fd483531b Abricots Secs en Compote - abricot sec en compote - - - 23 - - - KCA#9e570f13fed993b980656f7b3dd7927e Confits Abricots - confit abricot - - - 38 - - - KCA#203c0ca3c7cdf6258c1a6320467f9f0b Confiture d'Abricot - confiture abricot - - - 2045 - - - KCA#bd7750e2da2d1f03f7823a609548dc4d Confiture d'Abricot - confiture abricot - extra ou classique - - 0 - - - CIQ#7f8af9147bbf56bdfca2fb0975456e74 Bouchées aux Abricots - bouchee au abricot - - - 16 - - - KCA#b4659eba8152f694bd50204efdc8f202 Omelette aux Abricots - omelette au abricot - - - 3 - - - KCA#4db67e4e3160314b2d73d4e66510cff1 Huile d'Amandes d'Abricot - huile amande abricot - - - 0 - - - CIQ#988772c5421f9e7634d03e06d8f9bc55 ---------------------------------------------------- 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/6888ae8238ed5/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pêche', 'normName': ' peche ', 'comment': '', 'normComment': '', 'rank': 15131, 'id': 'KCA#2c2eecc0723dd0a72a296f2b3fa97bb1', 'quantity': 'une', 'quantityLem': '1', 'pack': ['PRU.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'PRU-100', 'posiNormName': 0}, {'name': 'Abricot', 'normName': ' abricot ', 'comment': 'dénoyauté, cru', 'normComment': ' denoyaute cru ', 'rank': 0, 'id': 'CIQ#51e9f18ce6019402c241981d81000696', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['PRU.w45'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.0454697608947754} ---------------------------------------------------------------------------------- LLM CPU Time: 2.0454697608947754