Input path: /home/debian/html/nutritwin/output_llm/6798a2a826ec6/input.json Output path: /home/debian/html/nutritwin/output_llm/6798a2a826ec6/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/6798a2a826ec6/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": "sandwich", "quantity": "un", "brand": "Dar-Vida", "type": "food", "event": "declaration" }, { "name": "fromage frais", "quantity": "une portion", "type": "food", "event": "declaration" }, { "name": "herbes", "quantity": "une portion", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "sandwich", "quantity": "un", "brand": "Dar-Vida", "type": "food", "event": "declaration" }, { "name": "fromage frais", "quantity": "une portion", "type": "food", "event": "declaration" }, { "name": "herbes", "quantity": "une portion", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "sandwich", "quantity": "un", "brand": "Dar-Vida", "type": "food", "event": "declaration" }, { "name": "fromage frais", "quantity": "une portion", "type": "food", "event": "declaration" }, { "name": "herbes", "quantity": "une portion", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'sandwich', 'quantity': 'un', 'brand': 'Dar-Vida', 'type': 'food', 'event': 'declaration'}, {'name': 'fromage frais', 'quantity': 'une portion', 'type': 'food', 'event': 'declaration'}, {'name': 'herbes', 'quantity': 'une portion', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sandwich', 'quantity': 'un', 'brand': 'Dar-Vida', '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 '% sandwich %' AND V_NormTrademark LIKE '%dar vida%' --> CPU time in DB: 0.1270 seconds Word: Sandwich - dist: 0.4415009021759033 - row: 516 Word: Sandwiches - dist: 0.4765543043613434 - row: 57045 Word: Club Sandwich - dist: 0.5818843245506287 - row: 23100 Word: Sandwich Mayonnaise - dist: 0.5959275364875793 - row: 63534 Word: Oreo Sandwich - dist: 0.6042640805244446 - row: 60322 Found embedding word: Sandwich 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 = 'Sandwich' ------------- Found solution (max 20) -------------- Sandwich - sandwich - - - 43 - - - CIQ#d04a289c52343e85dfc2a31bf6d60efe Sandwich - sandwich - - Auchan - 0 - 8410376025019 - 8410376025019 - OFF#b67a188550159fd7e3849ce6037feb94 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'fromage frais', '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 '% fromage frai %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Fromage Frais 0% MG - fromage frai 0% mg - - - 519 - - - KCA#88f1992eded597fa4d19465f74683774 Fromage Frais 30% MG - fromage frai 30% mg - - - 145 - - - KCA#7925728898a08e85f13745b60bc71320 Fromage Frais 20% MG - fromage frai 20% mg - - - 81 - - - KCA#0c277d2e26315ef0b610a1ac6f0b2c8f Fromage Frais Type Petit Suisse - fromage frai type petit suisse - aux fruits, 2-3% MG - - 0 - - - CIQ#73cdc0ed06d7dae14d8f4af7f1d26d08 Fromage Frais Type Petit Suisse - fromage frai type petit suisse - nature, 4% MG environ - - 0 - - - CIQ#96495c393b505ed2542b7b6e7722a0ff Fromage Frais Type Petit Suisse - fromage frai type petit suisse - nature, 10% MG environ - - 0 - - - CIQ#09070ff74775e5fa93151b578a83b59c Fromage Frais Type Petit Suisse - fromage frai type petit suisse - aromatisé ou aux fruits, 2-3% MG, enrichi en calcium et vitamine D - - 0 - - - CIQ#8f2c8bc83670ebeb0388646a7b1e8d7f Fromage Frais Salé Aromatisé 70% MG - fromage frai sale aromatise 70% mg - - - 36 - - - KCA#b41a07b5d00f432c217cc346b6954b5e Poivrons au Fromage Frais - poivron fromage frai - - - 57 - - - KCA#bd381888f0220065256457b3c07763a7 Macaroni au Fromage Frais - macaroni fromage frai - - - 25 - - - KCA#113da072737accbd03d447ef3cb76768 Cheesecake ou Gâteau au Fromage Frais - cheesecake ou gateau fromage frai - - - 0 - - - CIQ#d84b60dd884839dd040ebe0814eba8ac ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'herbes', '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 '% herbe %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Herbes de Provence - herbe de provence - séchées - - 0 - - - CIQ#7113d71171ef6e7f63477f1d4b0be353 Herbes Aromatiques Fraîches - herbe aromatique fraiche - - - 0 - - - CIQ#5099424399bfeee9780f67dd22e3e785 Cèpes aux Fines Herbes - cepe au fine herbe - - - 38 - - - KCA#c99cc61b2cb43dd07da617e475946cec Harengs Farcis aux Herbes - hareng farci au herbe - - - 5 - - - KCA#7d66d0d6fe6e7c7e5bc92cac63af6b0c Omelette aux Fines Herbes - omelette au fine herbe - - - 139 - - - KCA#4b7561e77c7e288ac6e2c2986fced61d Omelette aux Fines Herbes - omelette au fine herbe - - - 0 - - - CIQ#4b7561e77c7e288ac6e2c2986fced61d Artichauts au Citron et aux Herbes - artichaut citron au herbe - - - 29 - - - KCA#acbbb35c1fb2fa91724f38a5facc6000 Croûton à l'Ail aux Fines Herbes ou aux Oignons - crouton ail au fine herbe ou au oignon - - - 0 - - - CIQ#2fdf1f7cb4336c5e26f56e258f5d8116 Salade de Homard aux Fines Herbes - salade de homard au fine herbe - - - 20 - - - KCA#e6adfcdeeec5201345ed2f4a55802c82 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/6798a2a826ec6/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Sandwich', 'normName': ' sandwich ', 'comment': '', 'normComment': '', 'rank': 43, 'id': 'CIQ#d04a289c52343e85dfc2a31bf6d60efe', 'quantity': 'un', 'quantityLem': '1', 'pack': ['SAN.w250'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'SAN-100', 'posiNormName': 0}, {'name': 'Fromage Frais 0% MG', 'normName': ' fromage frai 0% mg ', 'comment': '', 'normComment': '', 'rank': 519, 'id': 'KCA#88f1992eded597fa4d19465f74683774', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['CUB.w30'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Herbes de Provence', 'normName': ' herbe de provence ', 'comment': 'séchées', 'normComment': ' sechee ', 'rank': 0, 'id': 'CIQ#7113d71171ef6e7f63477f1d4b0be353', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['XXX.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 5.624551773071289} ---------------------------------------------------------------------------------- LLM CPU Time: 5.624551773071289