Input path: /home/debian/html/nutritwin/output_llm/682c7151c3f75/input.json Output path: /home/debian/html/nutritwin/output_llm/682c7151c3f75/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/682c7151c3f75/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": "pâtes", "quantity": "une portion", "cookingMethod": "cuites", "type": "food", "event": "unknownEvent" }, { "name": "poisson", "quantity": "un morceau", "cookingMethod": "cuit", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "pâtes", "quantity": "une portion", "cookingMethod": "cuites", "type": "food", "event": "unknownEvent" }, { "name": "poisson", "quantity": "un morceau", "cookingMethod": "cuit", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "p\u00e2tes", "quantity": "une portion", "cookingMethod": "cuites", "type": "food", "event": "unknownEvent" }, { "name": "poisson", "quantity": "un morceau", "cookingMethod": "cuit", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pâtes', 'quantity': 'une portion', 'cookingMethod': 'cuites', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'poisson', 'quantity': 'un morceau', 'cookingMethod': 'cuit', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pâtes', 'quantity': 'une portion', 'cookingMethod': 'cuites', '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 '% pate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pâté - pate - - - 35 - - - CIQ#afa9f7f047da1f15de2883f037186a92 Pâtes - pate - sans gluten, à base de riz et maïs, à l'eau, non salées - - 0 - - - CIQ#fbb4c57fdca55e795247628ccb5aecdd Pâtes - pate - sans gluten, à base de lentilles corail, à l'eau, non salées - - 0 - - - CIQ#b616881505a8dc3bb22f36ba73c591e5 Pâté Breton - pate breton - - - 0 - - - CIQ#7bf7cf124b0a4bd2e2ef3a9a0a499589 Pâtes Cuites - pate cuite - - - 40303 - - - KCA#5f79f58611165eed8a9639bfa123a9ca Pâté de Foie - pate de foie - - - 754 - - - KCA#a5e2912dd9f9cde202e6768375fa2481 Pâté de Tête - pate de tete - - - 191 - - - KCA#f90aa2ff530cc5bc04459e1ca2ba4490 Pâtes Sèches - pate seche - aux oeufs, crues - - 0 - - - CIQ#52cf76f71ceae840a6e8cfb7bb87401e Pâtes Sèches - pate seche - sans gluten, crues - - 0 - - - CIQ#a6df809c43c5e8ea99c2290e16e50a23 Pâtes Sèches - pate seche - au blé complet, crues - - 0 - - - CIQ#2cd29b7b7d0a8beffb2a20bdcd5b67d9 Pâtes Sèches - pate seche - aux oeufs, non salées - - 0 - - - CIQ#475f5a3e0ebed8ce058915c8c0e2488a Pâtes Sèches - pate seche - sans gluten, non salées - - 0 - - - CIQ#a83a046d5cb792a1634de34a8b103f8c Pâtes Sèches - pate seche - au blé complet, non salées - - 0 - - - CIQ#086a2b5c3417a99bed48fb94c6f8e347 Pâte d'Amande - pate amande - - - 753 - - - CIQ#7c0811ad432704e3560ead7d11dcc54b Pâté de Lapin - pate de lapin - - - 228 - - - CIQ#cd9ac9416e8376ef0d33dc474b22d8d1 Pâte de Fruits - pate de fruit - - - 904 - - - CIQ#ddc417db85ad45f7b63c72987afd1efd Pâté en Croûte - pate en croute - - - 69 - - - CIQ#e2118c3e025007fd1644c613af45b0cf Pâté de Gibier - pate de gibier - - - 62 - - - CIQ#68811d74011dd1931c6725029c3ec0d8 Pâté Ardennais - pate ardennai - - - 33 - - - KCA#1c1510a6deb74a99fe2687d0ba87d678 Pâtes Fraîches - pate fraiche - aux oeufs, crues - - 0 - - - CIQ#9afbc65919a12bd31e467b9e01a43777 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'poisson', 'quantity': 'un morceau', 'cookingMethod': 'cuit', '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 '% poisson %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Poisson - poisson - croquette ou beignet ou nuggets, frit - - 0 - - - CIQ#56289197f63196d0a08c8b3ba3d2edf1 Poisson Cuit - poisson cuit - - - 0 - - - CIQ#1c26cf11050371a799127e00cb360436 Poisson Pané - poisson pane - frit - - 0 - - - CIQ#b836c4eb861c9913014e98212145dada Poisson Pané - poisson pane - surgelé, cru - - 0 - - - CIQ#b5799c50e9099da1375c869e95b889fd Poissons Gras - poisson gra - - - 156 - - - KCA#3e6cf1b20de9f9cf9555ca6754a7d73d Poisson Blanc - poisson blanc - aliment moyen - - 0 - - - CIQ#94e281ad38d3a5b0c0b3a5316fe33e1d Poisson Blanc - poisson blanc - de mer,aliment moyen - - 0 - - - CIQ#8b9f3b88fbfc503efd1322ec33e4bd87 Poissons Panés - poisson pane - - - 3684 - - - KCA#5127449b4cfb48c96b59ada84cad9a5a Poissons Fumés - poisson fume - - - 89 - - - KCA#4ed18fcb3484c0cca4de57e7a87693de Poissons Séchés - poisson seche - - - 16 - - - KCA#cac43f13c188955825604b36e853c715 Poissons Maigres - poisson maigre - - - 1335 - - - KCA#78618c7941284c1a3fe85da4008a1258 Poisson en Sauce - poisson en sauce - - - 859 - - - KCA#c713d406dbf89956e6fa7d2845133523 Poisson en Sauce - poisson en sauce - surgelé - - 0 - - - CIQ#943d2039aa37ae07e3c1febb32c2bc24 Poissons Demi-gras - poisson demi gra - - - 155 - - - KCA#1b068993333028add72c882b6de83920 Poissons à l'Huile - poisson huile - - - 71 - - - KCA#539d76d18e0cf93561f376e62573451c Poisson Sauce Oseille - poisson sauce oseille - - - 93 - - - KCA#aa876384995dcab3ff5f07a2d998ee89 Poisson à la Bordelaise - poisson bordelaise - - - 192 - - - KCA#02d9776983b412dcd083639ef3816ee3 Poisson, Croquette, Frit - poisson croquette frit - - - 98 - - - KCA#784a6ce3bfaf57715ccc739944dc01bb Poisson Frit en Croquette - poisson frit en croquette - - - 139 - - - KCA#e908f8f80e571eef58528cabaa6911f2 Poisson Avec Tagliatelles - poisson avec tagliatelle - - - 57 - - - KCA#5a594aea18f86f991faa882847768e74 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/682c7151c3f75/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pâtes', 'normName': ' pate ', 'comment': "sans gluten, à base de riz et maïs, à l'eau, non salées", 'normComment': ' san gluten base de riz mai eau non salee ', 'rank': 0, 'id': 'CIQ#fbb4c57fdca55e795247628ccb5aecdd', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['NOU.w210'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': 'NOU-100', 'posiNormName': 0}, {'name': 'Poisson', 'normName': ' poisson ', 'comment': 'croquette ou beignet ou nuggets, frit', 'normComment': ' croquette ou beignet ou nugget frit ', 'rank': 0, 'id': 'CIQ#56289197f63196d0a08c8b3ba3d2edf1', 'quantity': 'un morceau', 'quantityLem': '1 morceau', 'pack': ['POI.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.7686517238616943} ---------------------------------------------------------------------------------- LLM CPU Time: 2.7686517238616943