Input path: /home/debian/html/nutritwin/output_llm/67b630201e104/input.json Output path: /home/debian/html/nutritwin/output_llm/67b630201e104/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/67b630201e104/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": "banane", "quantity": "quatre", "type": "food", "event": "declaration" }, { "name": "sauce", "quantity": "une portion", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "banane", "quantity": "quatre", "type": "food", "event": "declaration" }, { "name": "sauce", "quantity": "une portion", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "banane", "quantity": "quatre", "type": "food", "event": "declaration" }, { "name": "sauce", "quantity": "une portion", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'banane', 'quantity': 'quatre', 'type': 'food', 'event': 'declaration'}, {'name': 'sauce', 'quantity': 'une portion', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'banane', 'quantity': 'quatre', '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 '% banane %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Banane - banane - pulpe, crue - - 57967 - - - CIQ#6066b5bb884711efc0e44c9446b96aa3 Banane Sèche - banane seche - - - 346 - - - KCA#2e3e40d3b1ae9f793251e9948142d784 Bananes en Robe - banane en robe - - - 14 - - - KCA#b274666ef64f762c58695191d4286b85 Banane Plantain - banane plantain - - - 2 - - - CIQ#1055a76a23712202f3c842fba09fa691 Bananes Barbecue - banane barbecue - - - 33 - - - KCA#1d31fb8efe54f0bc7765a60cc9f8c324 Bananes au Jambon - banane jambon - - - 4 - - - KCA#e21d980b838ba89f4e9ba1d85f593c95 Smoothie Banane et Lait de Soja - smoothie banane lait de soja - de soja - - 0 - - - KCA#dc0b16a02e5290892f9adee7419ec0e7 Crème Glacée Banane, Pomme et Noix de Macadamia - creme glacee banane pomme noix de macadamia - - - 34 - - - KCA#3233d39965b7baa31d10a301ac541ffa Bruschette à la Fraise, à la Banane et à la Ricotta - bruschette fraise banane ricotta - - - 2 - - - KCA#fd9db147f698ab1c84b0905704258a5f ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sauce', 'quantity': 'une portion', '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 '% sauce %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Sauce Soja - sauce soja - - - 3 - - - CIQ#b952eceb45cb10013a92ef0779b17653 Sauce Pesto - sauce pesto - - - 1574 - - - CIQ#1522ff5f8e2afb98f43dc84032eb88a2 Sauce Tomate - sauce tomate - sauce tomate - - 0 - - - KCA#7d512351ce711d864802585661fe5016 Sauce au Curry - sauce curry - - - 756 - - - CIQ#9210f7eca1ee3b1897594c0178290b20 Sauce Barbecue - sauce barbecue - - - 605 - - - CIQ#ef41b91b3553734511e938471949c410 Sauce au Chocolat - sauce chocolat - - - 0 - - - CIQ#499da9cecdcb14e8c3264dd25833827c Sauce Végétale Type Bolognaise - sauce vegetale type bolognaise - - - 0 - - - CIQ#84e99ba7b00b9d430019fdda2fd5f7c0 Sauce Nuoc Mâm ou Sauce au Poisson - sauce nuoc mam ou sauce poisson - - - 0 - - - CIQ#af0e9d2be8f4dd30887de87ebdddf63f Sauce Basquaise ou Sauce aux Poivrons - sauce basquaise ou sauce au poivron - - - 0 - - - CIQ#47d21249bc4ab285956c9e298c68bb6d Sauce pour Nems à Base de Nuoc-mam Dilué - sauce pour nem base de nuoc mam dilue - - - 0 - - - CIQ#68d76cc02b44928be15871a78b9d94f0 Raie à la Sauce Rose - raie sauce rose - - - 7 - - - KCA#1444c15182b9ef2f68e738c71bfb6cc7 Porc à la Sauce Satay - porc sauce satay - - - 60 - - - KCA#aed030947a37a27a9fdcf9addd4e67bc Oeufs à la Sauce Robert - oeuf sauce robert - - - 2 - - - KCA#8624d58a57b5203a5e66034982f48874 Oeufs à la Sauce Béarnaise - oeuf sauce bearnaise - - - 11 - - - KCA#b3c010b58057c755805baed78408c687 Boeuf Sauce Satay - boeuf sauce satay - - - 198 - - - KCA#2892f776d49ca112a8d9a6cdd51df956 Moules Sauce Rousse - moule sauce rousse - - - 39 - - - KCA#e28239723ff413f8d4c84fea8b2301c9 Steaks Sauce Persil - steak sauce persil - sauce persil - - 0 - - - KCA#6524592e1b23ceffe76c9e0ff784370d Moules à la Sauce Catalane ou Escabèche - moule sauce catalane ou escabeche - tomate, égouttée - - 0 - - - CIQ#c816954f008a5e5e39aad2cbf43621e8 Abats en Sauce - abat en sauce - - - 11 - - - KCA#eb1dcd4090f766ad17ceaa2a6323f56f Poisson Sauce Oseille - poisson sauce oseille - - - 93 - - - KCA#aa876384995dcab3ff5f07a2d998ee89 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67b630201e104/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Banane', 'normName': ' banane ', 'comment': 'pulpe, crue', 'normComment': ' pulpe crue ', 'rank': 57967, 'id': 'CIQ#6066b5bb884711efc0e44c9446b96aa3', 'quantity': 'quatre', 'quantityLem': '4', 'pack': ['BAN.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'BAN-400', 'posiNormName': 0}, {'name': 'Sauce Soja', 'normName': ' sauce soja ', 'comment': '', 'normComment': '', 'rank': 3, 'id': 'CIQ#b952eceb45cb10013a92ef0779b17653', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['CSS.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.341609239578247} ---------------------------------------------------------------------------------- LLM CPU Time: 3.341609239578247