Input path: /home/debian/html/nutritwin/output_llm/679a9620e45d3/input.json Output path: /home/debian/html/nutritwin/output_llm/679a9620e45d3/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/679a9620e45d3/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": "satay de poulet", "quantity": "un plat", "cookingMethod": "sauté", "type": "food", "event": "unknownEvent" }, { "name": "sauce aux cacahuètes", "quantity": "un plat", "type": "food", "event": "unknownEvent" }, { "name": "riz aux légumes", "quantity": "un plat", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "satay de poulet", "quantity": "un plat", "cookingMethod": "sauté", "type": "food", "event": "unknownEvent" }, { "name": "sauce aux cacahuètes", "quantity": "un plat", "type": "food", "event": "unknownEvent" }, { "name": "riz aux légumes", "quantity": "un plat", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "satay de poulet", "quantity": "un plat", "cookingMethod": "saut\u00e9", "type": "food", "event": "unknownEvent" }, { "name": "sauce aux cacahu\u00e8tes", "quantity": "un plat", "type": "food", "event": "unknownEvent" }, { "name": "riz aux l\u00e9gumes", "quantity": "un plat", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'satay de poulet', 'quantity': 'un plat', 'cookingMethod': 'sauté', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'sauce aux cacahuètes', 'quantity': 'un plat', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'riz aux légumes', 'quantity': 'un plat', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'satay de poulet', 'quantity': 'un plat', 'cookingMethod': 'sauté', 'type': 'food', '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 '% satay de poulet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1164 seconds Word: Poulet Satay et Son Riz - dist: 0.44843366742134094 - row: 45733 Word: Poulet Sauce Satay et Riz - dist: 0.4777472913265228 - row: 36435 Word: Brochettes de Poulet Sat - dist: 0.5240671038627625 - row: 35874 Word: 8 Bouchées de Poulet au Saté - dist: 0.5304416418075562 - row: 36096 Word: 10 Brochettes de Poulet au Curry Avec Sauce Satay - dist: 0.5400435924530029 - row: 37247 Found embedding word: Poulet Satay et Son Riz Second try (embedded): 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_Name = 'Poulet Satay et Son Riz' ------------- Found solution (max 20) -------------- Poulet Satay et Son Riz - poulet satay son riz - - Carrefour - 0 - 3560070976478 - 3560070976478 - OFF#f8c6811c8cfa48a7fc29a6a7ac77e561 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'sauce aux cacahuètes', 'quantity': 'un plat', 'type': 'food', '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 '% sauce au cacahuete %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1097 seconds Word: Cacahuètes Sauce Caramel - dist: 0.5770659446716309 - row: 49187 Word: Soufflés à la Cacahuète - dist: 0.6033883094787598 - row: 6823 Word: Cacahuètes à l'Ancien - dist: 0.6145797371864319 - row: 31673 Word: Sauce au Chocolat - dist: 0.6149881482124329 - row: 539 Word: Cacahuètes - dist: 0.6170303225517273 - row: 3954 Found embedding word: Cacahuètes Sauce Caramel Second try (embedded): 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_Name = 'Cacahuètes Sauce Caramel' ------------- Found solution (max 20) -------------- Cacahuètes Sauce Caramel - cacahuete sauce caramel - - Auchan - 0 - 3596710444755 - 3596710444755 - OFF#6c0d9674d4685b971ed953ae3573dee4 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'riz aux légumes', 'quantity': 'un plat', 'type': 'food', '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 '% riz au legume %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1327 seconds Word: Riz Sauté aux Légumes - dist: 0.48264971375465393 - row: 39220 Word: Riz aux Légumes et Curry - dist: 0.4853784143924713 - row: 46477 Word: Riz au Curry et Légumes - dist: 0.5155129432678223 - row: 8258 Word: Riz Biryani aux Légumes - dist: 0.5222160220146179 - row: 3024 Word: Risotto aux Légumes - dist: 0.5328412055969238 - row: 30988 Found embedding word: Riz Sauté aux Légumes Second try (embedded): 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_Name = 'Riz Sauté aux Légumes' ------------- Found solution (max 20) -------------- Riz Sauté aux Légumes - riz saute au legume - - Thiriet - 0 - 3292590874766 - 3292590874766 - OFF#8f69bb440167c7658419435aab02098a ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/679a9620e45d3/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Poulet Satay et Son Riz', 'normName': ' poulet satay son riz ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#f8c6811c8cfa48a7fc29a6a7ac77e561', 'quantity': 'un plat', 'quantityLem': '1 plat', 'pack': ['HEN.w300'], 'type': 'food', 'gtin': '3560070976478', 'gtinRef': '3560070976478', 'brand': 'Carrefour', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': -1}, {'name': 'Cacahuètes Sauce Caramel', 'normName': ' cacahuete sauce caramel ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#6c0d9674d4685b971ed953ae3573dee4', 'quantity': 'un plat', 'quantityLem': '1 plat', 'pack': ['AA2.w40', 'GLA.w40'], 'type': 'food', 'gtin': '3596710444755', 'gtinRef': '3596710444755', 'brand': 'Auchan', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': -1}, {'name': 'Riz Sauté aux Légumes', 'normName': ' riz saute au legume ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#8f69bb440167c7658419435aab02098a', 'quantity': 'un plat', 'quantityLem': '1 plat', 'pack': ['APL.w250'], 'type': 'food', 'gtin': '3292590874766', 'gtinRef': '3292590874766', 'brand': 'Thiriet', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 6.153960704803467} ---------------------------------------------------------------------------------- LLM CPU Time: 6.153960704803467