Input path: /home/debian/html/nutritwin/output_llm/67c22286eb163/input.json Output path: /home/debian/html/nutritwin/output_llm/67c22286eb163/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/67c22286eb163/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": "soupe", "quantity": "un bol", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Vittel", "quantity": "une bouteille", "type": "beverage", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "soupe", "quantity": "un bol", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Vittel", "quantity": "une bouteille", "type": "beverage", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "soupe", "quantity": "un bol", "type": "food", "event": "declaration" }, { "name": "eau", "brand": "Vittel", "quantity": "une bouteille", "type": "beverage", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'soupe', 'quantity': 'un bol', 'type': 'food', 'event': 'declaration'}, {'name': 'eau', 'brand': 'Vittel', 'quantity': 'une bouteille', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'soupe', 'quantity': 'un bol', '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 '% soupe %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Soupe - soupe - - - 13 - - - CIQ#d38558470062ac5e3bcfe5f6ae1b1877 Soupe Miso - soupe miso - déshydratée reconstituée - - 0 - - - CIQ#2864246d65444d2b8a7a213e08a1941f Soupe au Pain - soupe pain - au pain - - 0 - - - KCA#198b9e8411c619859bf84e5b437f1332 Soupe à l'Ail - soupe ail - à l'ail - - 0 - - - KCA#c2752c55ad4098d77298722e98556eee Soupe au Choux - soupe chou - au choux - - 0 - - - KCA#ee07fe588be75e8402283dda604ca5b9 Soupe au Pistou - soupe pistou - - - 164 - - - CIQ#3b039f5168b1e012dc7014d41b27e748 Soupe au Cantal - soupe cantal - au cantal - - 0 - - - KCA#97c80ba38a0d393aa16941feefc06699 Soupe Asiatique - soupe asiatique - avec pâtes - - 0 - - - CIQ#3806f198e18b33f8b28e7f20df30cac8 Soupe Pékinoise - soupe pekinoise - soupe pékinoise - - 0 - - - KCA#c098a7deb4c974077b34ed3bfaf9b1a1 Soupe au Pistou - soupe pistou - déshydratée reconstituée - - 0 - - - CIQ#50825ca4c4736b6d52c653d53f4d157a Soupe Marocaine - soupe marocaine - déshydratée reconstituée - - 0 - - - CIQ#c1031e4175e40d52afa20c8d2577b1ef Soupe Asiatique - soupe asiatique - avec pâtes, déshydratée reconstituée - - 0 - - - CIQ#a40183d749005d95ac204f5d631d2529 Soupe à l'Oignon - soupe oignon - - - 403 - - - CIQ#b1ff7640f95dd2cde33e15b9cda8687a Soupe au Cresson - soupe cresson - - - 354 - - - CIQ#5622adddc0a602676f23aa772b5f9138 Soupe Minestrone - soupe minestrone - - - 353 - - - CIQ#d6a95d8bda925efc36695e9b831c08b2 Soupe au Potiron - soupe potiron - - - 145 - - - CIQ#6f75550105dd45c4009ada47f18dd0cd Soupe à la Bière - soupe biere - la bière - - 0 - - - KCA#5d823e0c912390b7753ac7c6af959cf0 Soupe de Légumes - soupe de legume - de légumes - - 0 - - - KCA#ffb1f50ec43d9ad3f79c5e0b99990d09 Soupe aux Moules - soupe au moule - aux moules - - 0 - - - KCA#3fe2a6465efacd53cf3f591a07aa0b3f Soupe à l'Oignon - soupe oignon - déshydratée reconstituée - - 0 - - - CIQ#8185849a63717db6199dc328db03c3ea ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'eau', 'brand': 'Vittel', 'quantity': 'une bouteille', 'type': 'beverage', '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 '% eau %' AND V_NormTrademark LIKE '%vittel%' --> CPU time in DB: 0.1420 seconds Word: Eau - dist: 0.3396579325199127 - row: 4206 Word: Eau MG - dist: 0.5603203177452087 - row: 46639 Word: Eau Evian - dist: 0.5745777487754822 - row: 4563 Word: Eau Minerale - dist: 0.575843095779419 - row: 20939 Word: Eau Aromatisée - dist: 0.5761235356330872 - row: 22451 Found embedding word: Eau 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 = 'Eau' ------------- Found solution (max 20) -------------- Eau - eau - - - 10064 - - - KCA#08cfe774cbf7476b1e582734c7082ecd Eau - eau - - Danone - 0 - 3068320113777 - 3068320113777 - OFF#a368112e858a7875171326b1b7219c8d Eau - eau - - Auchan - 0 - 3596710349531 - 3596710349531 - OFF#a110f2ce7fe9194540111e49cbb21afd Eau - eau - - Danone - 0 - 4909411061548 - 3068320113777 - OFF#e176bc3d62c2c778a332abbc2d02559c Eau - eau - - Danone - 0 - 3068320119267 - 3068320113777 - OFF#777ddce7b93ca02cf49268c755d2bf13 ---------------------------------------------------- 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 --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67c22286eb163/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Soupe', 'normName': ' soupe ', 'comment': '', 'normComment': '', 'rank': 13, 'id': 'CIQ#d38558470062ac5e3bcfe5f6ae1b1877', 'quantity': 'un bol', 'quantityLem': '1 bol', 'pack': ['ACR', 'BOL'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'ACR-1bol', 'posiNormName': 0}, {'name': 'Eau', 'normName': ' eau ', 'comment': '', 'normComment': '', 'rank': 10064, 'id': 'KCA#08cfe774cbf7476b1e582734c7082ecd', 'quantity': 'une bouteille', 'quantityLem': '1 bouteille', 'pack': ['VAE', 'VX1', 'VA2', 'GOB', 'VA4', 'VA4', 'VA3'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.112191677093506} ---------------------------------------------------------------------------------- LLM CPU Time: 4.112191677093506