Input path: /home/debian/html/nutritwin/output_llm/67b5c8e4a9e03/input.json Output path: /home/debian/html/nutritwin/output_llm/67b5c8e4a9e03/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/67b5c8e4a9e03/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": "maïs", "quantity": "plusieurs grains", "type": "food", "event": "declaration" }, { "name": "avocat", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "maïs", "quantity": "plusieurs grains", "type": "food", "event": "declaration" }, { "name": "avocat", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "ma\u00efs", "quantity": "plusieurs grains", "type": "food", "event": "declaration" }, { "name": "avocat", "quantity": "plusieurs morceaux", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'maïs', 'quantity': 'plusieurs grains', 'type': 'food', 'event': 'declaration'}, {'name': 'avocat', 'quantity': 'plusieurs morceaux', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'maïs', 'quantity': 'plusieurs grains', '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 '% mai %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Maïs Doux - mai dou - égoutté - - 0 - - - CIQ#23e2189e9c178fd9c31d3b17246f2b31 Maïs Entier - mai entier - cru - - 0 - - - CIQ#71bc4bfd4d50a98d146bc65a9805fd58 Maïs (grain) - mai - - - 0 - - - KCA#43ef5bff9dcd4c81a49a6f883742c424 Maïs (conserve) - mai - - - 1101 - - - KCA#43ef5bff9dcd4c81a49a6f883742c424 Pain au Maïs - pain mai - - - 880 - - - KCA#804726a10c6495aca4589d2a04fa46b4 Epi de Maïs - epi de mai - - - 490 - - - KCA#3ea09016d87f0312d6b025a3956166c0 Chips de Maïs - chip de mai - - - 231 - - - KCA#a9469c33139c79695a8b4afbb070090f Chips de Maïs ou Tortilla Chips - chip de mai ou tortilla chip - - - 0 - - - CIQ#33e20a7e32ecbb18a4fa645d8271a66c Huile de Maïs - huile de mai - - - 6 - - - CIQ#07222d65fa66efc75669c64d6fa20961 Boules de Maïs Soufflées au Miel - boule de mai soufflee miel - enrichies en vitamines et minéraux - - 0 - - - CIQ#38b642aa77c7f83166bc66cda176b3a2 Boules de Maïs Soufflées au Miel - boule de mai soufflee miel - non enrichies en vitamines et minéraux - - 0 - - - CIQ#0a24c0c921aa72366a89dba7d796aa56 Boules de Maïs Soufflées Chocolatées - boule de mai soufflee chocolatee - - - 18 - - - KCA#4c4cbef7c9b06b280099d6a331757ed7 Boules de Maïs Soufflées Chocolatées - boule de mai soufflee chocolatee - et 125 ml de lait demi écrémé - - 4 - - - KCA#53bea6477276acc33e1f6a7937bae9aa Pétales de Maïs Natures - petale de mai nature - enrichis en vitamines et minéraux - - 0 - - - CIQ#0900a2f75000734291007d1025ed07a2 Pétales de Maïs Natures - petale de mai nature - non enrichis en vitamines et minéraux - - 0 - - - CIQ#e8e71ea741f338a1a6edea46f3be0a33 Pétales de Maïs Glacés au Sucre - petale de mai glace sucre - enrichis en vitamines et minéraux - - 0 - - - CIQ#0e9ee284b6d5f81ea62a7cbab0485439 Pétales de Maïs Glacés au Sucre - petale de mai glace sucre - non enrichis en vitamines et minéraux - - 0 - - - CIQ#1e1c2fb7dc98410f9cf8947b2405f758 Pop-corn ou Maïs Éclaté - pop corn ou mai eclate - au caramel - - 0 - - - CIQ#55e9e21821b85a3579fd4a0e7486132a Pop-corn ou Maïs Éclaté - pop corn ou mai eclate - à l'huile, salé - - 0 - - - CIQ#44a7bce52d6f57e63d98e29e00b69df6 Pop-corn ou Maïs Éclaté - pop corn ou mai eclate - à l'air, non salé - - 0 - - - CIQ#a877b8feb146563d0aa2f65220fa43cb ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'avocat', 'quantity': 'plusieurs morceaux', '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 '% avocat %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Avocat - avocat - pulpe, cru - - 18525 - - - CIQ#4c9a17da72301fbf9c8312ed66633aff Avocats au Crabe - avocat crabe - - - 225 - - - KCA#4c24d976226e28c5fa9ee50881e6d3bf Avocats en Turban - avocat en turban - - - 5 - - - KCA#d07f7eda1b5eeb0ad897f6ea371aeb54 Avocats en Cocktail - avocat en cocktail - - - 62 - - - KCA#eb6912896511d3f749c980b5d55dce23 Avocats aux Crevettes - avocat au crevette - - - 195 - - - KCA#5dcdeb94d09030bfe9f4f6ecb11c25c9 Avocats à la Macédoine - avocat macedoine - - - 38 - - - KCA#57a72ef4b64fb5a3ebc331e7d25d6074 Riz à l'Avocat et au Wasabi - riz avocat wasabi - - - 14 - - - KCA#573ba2a186eadbe23f8a9572bc99f30e Maki Avocat - maki avocat - - - 272 - - - KCA#1e70f3c558729c7ee7ccbe10af55eac6 Huile d'Avocat - huile avocat - - - 0 - - - CIQ#36fd72607444ab90dea2188e2918dfc3 Maki Saumon Avocat - maki saumon avocat - - - 861 - - - KCA#725e4073ccaee17f4a77ab78eb5b90a5 Salade de Tomates à l'Avocat - salade de tomate avocat - et bouchées aux Lentilles rouges - - 132 - - - KCA#c7116cef4371b5b219a958c0c872dfb6 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67b5c8e4a9e03/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Maïs Doux', 'normName': ' mai dou ', 'comment': 'égoutté', 'normComment': ' egoutte ', 'rank': 0, 'id': 'CIQ#23e2189e9c178fd9c31d3b17246f2b31', 'quantity': 'plusieurs grains', 'quantityLem': 'plusieur grain', 'pack': ['MAI.w120'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Avocat', 'normName': ' avocat ', 'comment': 'pulpe, cru', 'normComment': ' pulpe cru ', 'rank': 18525, 'id': 'CIQ#4c9a17da72301fbf9c8312ed66633aff', 'quantity': 'plusieurs morceaux', 'quantityLem': 'plusieur morceau', 'pack': ['AVO.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.6791911125183105} ---------------------------------------------------------------------------------- LLM CPU Time: 3.6791911125183105