Input path: /home/debian/html/nutritwin/output_llm/6863593221edb/input.json Output path: /home/debian/html/nutritwin/output_llm/6863593221edb/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/6863593221edb/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": "S'Moret", "quantity": "neuf", "type": "food", "event": "declaration", "brand": "St Môret", "company": "Savencia Fromage & Dairy" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "S'Moret", "quantity": "neuf", "type": "food", "event": "declaration", "brand": "St Môret", "company": "Savencia Fromage & Dairy" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "S'Moret", "quantity": "neuf", "type": "food", "event": "declaration", "brand": "St M\u00f4ret", "company": "Savencia Fromage & Dairy" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': "S'Moret", 'quantity': 'neuf', 'type': 'food', 'event': 'declaration', 'brand': 'St Môret', 'company': 'Savencia Fromage & Dairy'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': "S'Moret", 'quantity': 'neuf', 'type': 'food', 'event': 'declaration', 'brand': 'St Môret', 'company': 'Savencia Fromage & Dairy'} 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 '% moret %' AND V_NormTrademark LIKE '%st moret%' --> CPU time in DB: 0.1160 seconds Word: St Moret - dist: 0.6058443784713745 - row: 5275 Word: Saint Moret - dist: 0.6232234835624695 - row: 7793 Word: St Moretgratuits - dist: 0.6641916036605835 - row: 37844 Word: St Moret 25% de Sel - dist: 0.6665066480636597 - row: 37851 Word: Poptarts S'Mores - dist: 0.6758522391319275 - row: 10480 Found embedding word: St Moret 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 = 'St Moret' ------------- Found solution (max 20) -------------- St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 2855844098304 - 2855844098304 - OFF#d888943ffbec2ca7b5b4cd7799951346 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770096959 - 2855844098304 - OFF#0ae8ef0baed494193b24c8e88d7f89f8 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3274770097622 - 2855844098304 - OFF#a9a502291ee3d3e5bcd061209f3edfe8 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 6046722677827 - 2855844098304 - OFF#01e096d6d8d6b0c1d6b5ad604d1a2f85 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770097857 - 2855844098304 - OFF#e119ff2a83c4c90a2294bb4ddadb091b St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770928090 - 2855844098304 - OFF#5a99d96870e48c06a9b2eff9778d6701 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770098120 - 2855844098304 - OFF#a298a98e715f423229f58eb684d6ecf0 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770096843 - 2855844098304 - OFF#2fcf2cd7a6f4a8696ff06820786a0e4d St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770098090 - 2855844098304 - OFF#5236699e174b17d2391aeda027a3c8d4 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770096515 - 2855844098304 - OFF#51094c594e62960da15d123084e2b88f St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770016704 - 2855844098304 - OFF#0a4b13b24de364091254d2000301c648 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770095464 - 2855844098304 - OFF#01011f67544ffc18811960c1bd570552 St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3271770093302 - 2855844098304 - OFF#39393b91b1913d2ddd600a8ee4eb5e1e St Moret - st moret - - Compagnie des fromages & RichesMonts - 0 - 3272770098656 - 2855844098304 - OFF#360552e6a606d77d09f0277de094bdc5 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/6863593221edb/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'St Moret', 'normName': ' st moret ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#d888943ffbec2ca7b5b4cd7799951346', 'quantity': 'neuf', 'quantityLem': '9', 'pack': ['UN2.w20'], 'type': 'food', 'gtin': '2855844098304', 'gtinRef': '2855844098304', 'brand': 'Compagnie des fromages & RichesMonts', 'time': '', 'event': 'declaration', 'serving': 'UN2-90', 'posiNormName': 3}], 'activity': [], 'response': {}}, 'cputime': 2.25915265083313} ---------------------------------------------------------------------------------- LLM CPU Time: 2.25915265083313