Input path: /home/debian/html/nutritwin/output_llm/684ab332476e6/input.json Output path: /home/debian/html/nutritwin/output_llm/684ab332476e6/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/684ab332476e6/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 rigates", "quantity": "plusieurs", "cookingMethod": "cuites", "type": "food", "event": "declaration" }, { "name": "tomates", "quantity": "plusieurs tranches", "cookingMethod": "crues", "type": "food", "event": "declaration" }, { "name": "olives", "quantity": "plusieurs", "cookingMethod": "crues", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "pâtes rigates", "quantity": "plusieurs", "cookingMethod": "cuites", "type": "food", "event": "declaration" }, { "name": "tomates", "quantity": "plusieurs tranches", "cookingMethod": "crues", "type": "food", "event": "declaration" }, { "name": "olives", "quantity": "plusieurs", "cookingMethod": "crues", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "p\u00e2tes rigates", "quantity": "plusieurs", "cookingMethod": "cuites", "type": "food", "event": "declaration" }, { "name": "tomates", "quantity": "plusieurs tranches", "cookingMethod": "crues", "type": "food", "event": "declaration" }, { "name": "olives", "quantity": "plusieurs", "cookingMethod": "crues", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pâtes rigates', 'quantity': 'plusieurs', 'cookingMethod': 'cuites', 'type': 'food', 'event': 'declaration'}, {'name': 'tomates', 'quantity': 'plusieurs tranches', 'cookingMethod': 'crues', 'type': 'food', 'event': 'declaration'}, {'name': 'olives', 'quantity': 'plusieurs', 'cookingMethod': 'crues', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pâtes rigates', 'quantity': 'plusieurs', 'cookingMethod': 'cuites', '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 '% pate rigate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1183 seconds Word: Pâtes Spaghetti Rigati - dist: 0.44305118918418884 - row: 61642 Word: Pâtes - dist: 0.5324263572692871 - row: 4106 Word: Lot Pâtes Penne Rigate - dist: 0.5410520434379578 - row: 9773 Word: Barilla Pates Rigatoni - dist: 0.5487338900566101 - row: 61455 Word: Pâtes Penne Rigate Cuisson 3 Min - dist: 0.5493232011795044 - row: 9777 Found embedding word: Pâtes Spaghetti Rigati 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 = 'Pâtes Spaghetti Rigati' ------------- Found solution (max 20) -------------- Pâtes Spaghetti Rigati - pate spaghetti rigati - - Barilla - 0 - 8076809571043 - 8076809571043 - OFF#86629d880639f881b8c979825764fb63 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'tomates', 'quantity': 'plusieurs tranches', 'cookingMethod': 'crues', '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 '% tomate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Tomate - tomate - crue - - 50564 - - - CIQ#9019c33adc1aff1aeff07888f760e3dc Tomate - tomate - purée - - 0 - - - CIQ#98e08e3b00fecca745d7da29e1015a95 Tomate - tomate - pulpe - - 0 - - - CIQ#fd785fdebdb36567c615d2cf46456ffd Tomate - tomate - concentré - - 0 - - - CIQ#7020e6d5e5bd9e09aaa1661220ba09b7 Tomate - tomate - pelée, égouttée - - 0 - - - CIQ#e42ed02a1db9c324a72333e04d401dc1 Tomate - tomate - double concentré - - 0 - - - CIQ#316f9d6fdf5ec84b18998fae96416e09 Tomate - tomate - séchée, à l'huile - - 0 - - - CIQ#b7e1592c157fef2c1429cdc04e65f429 Tomate - tomate - rôtie/cuite au four - - 0 - - - CIQ#abc1ee10e1ef1b8d9ea01e5cf5081ac9 Tomate - tomate - pulpe et peau, rôtie/cuite au four - - 0 - - - CIQ#a670b9fa38af8c6557b321a08d7ab367 Tomate Ronde - tomate ronde - crue - - 0 - - - CIQ#684dc9134dc864e3c83f5330fa9965d4 Tomate Farcie - tomate farcie - - - 1889 - - - CIQ#6662d127dcc7f87a176e7cda4540b6d5 Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0 Tomate Grappe - tomate grappe - crue - - 0 - - - CIQ#2bdccc054e39de9382dcb2ff97b1204d Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216 Tomate Séchée - tomate sechee - tomate séchée - - 0 - - - KCA#1dfa8e1ad113a5175e6a3ba4bee46416 Tomates au Four - tomate four - au four - - 0 - - - KCA#7bd06a9534bdcb97e7af0143ac0124d5 Tomates Farcies - tomate farcie - tomates farcies - - 0 - - - KCA#6e01a7596f6a74b9bca3e51ca2721e81 Tomates Tartares - tomate tartare - tomates tartares - - 0 - - - KCA#e15190c59aa8508125d81de65be88670 Tomate Concentrée - tomate concentree - tomate concentrée - - 0 - - - KCA#22854ad0ad81beeccc0841c1f0c5d66c Tomates Provençales - tomate provencale - tomates provençales - - 0 - - - KCA#799358a4b450be03bfd4014d3908c6dc ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'olives', 'quantity': 'plusieurs', 'cookingMethod': 'crues', '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 '% olive %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Olive - olive - - - 0 - - - CIQ#e930eba2417afe8e937c65526d252663 Olive Verte - olive verte - en saumure, égouttée - - 0 - - - CIQ#447c6790511a37978ebd415e44c06a3d Olive Noire - olive noire - à l'huile, à la grecque - - 0 - - - CIQ#972254b7dd363b013d44747003b87b69 Huile d'Olive - huile olive - - - 31593 - - - KCA#e3401b8ad72802d4269691213bebe06d Huile d'Olive Vierge Extra - huile olive vierge extra - - - 0 - - - CIQ#0dd5134f977ccd585a472259c8513ae6 Riz aux Olives et aux Poivrons - riz au olive au poivron - - - 19 - - - KCA#f9dde3013dc9afd5a09f22f1627c7250 Lieu aux Olives - lieu au olive - - - 46 - - - KCA#be860f9771906feb7f46d41e9d0410e1 Canard aux Olives Vertes - canard au olive verte - - - 6 - - - KCA#dcebad0868aa8dbb180dead0fcddf6fe Canard aux Olives Noires - canard au olive noire - - - 4 - - - KCA#1709c903a5fd933fc49f8a0d198c608d Thon à l'Huile d'Olive - thon huile olive - l'huile d'olive - - 0 - - - KCA#d33c1882fa02cd9006589b140511fb8b Tournedos aux Olives - tournedo au olive - aux olives - - 0 - - - KCA#2f8ab7ae92033c2df8314dbdeb3954ca Faux Filet aux Olives - fau filet au olive - - - 7 - - - KCA#c2c900bb0db88deb51bfd2e2e69f1c7f Pain de Viande aux Olives - pain de viande au olive - - - 73 - - - KCA#b8e014029af6be435b7b988b0d798795 Boeuf en Daube aux Olives - boeuf en daube au olive - - - 20 - - - KCA#dcdaea60d96e6b653c6c1bb573beca53 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/684ab332476e6/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pâtes Spaghetti Rigati', 'normName': ' pate spaghetti rigati ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#86629d880639f881b8c979825764fb63', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['NO2.w150'], 'type': 'food', 'gtin': '8076809571043', 'gtinRef': '8076809571043', 'brand': 'Barilla', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Tomate', 'normName': ' tomate ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 50564, 'id': 'CIQ#9019c33adc1aff1aeff07888f760e3dc', 'quantity': 'plusieurs tranches', 'quantityLem': 'plusieur tranche', 'pack': ['TOM.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Olive', 'normName': ' olive ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#e930eba2417afe8e937c65526d252663', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['UN2.w4'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 6.066699981689453} ---------------------------------------------------------------------------------- LLM CPU Time: 6.066699981689453