Input path: /home/debian/html/nutritwin/output_llm/67d175532c1cb/input.json Output path: /home/debian/html/nutritwin/output_llm/67d175532c1cb/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/67d175532c1cb/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 farcies", "quantity": "une assiette", "cookingMethod": "crémeux", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "pâtes farcies", "quantity": "une assiette", "cookingMethod": "crémeux", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "p\u00e2tes farcies", "quantity": "une assiette", "cookingMethod": "cr\u00e9meux", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pâtes farcies', 'quantity': 'une assiette', 'cookingMethod': 'crémeux', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pâtes farcies', 'quantity': 'une assiette', 'cookingMethod': 'crémeux', '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 farcie %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1197 seconds Word: Pâtes Fraîches Farcies - dist: 0.46260422468185425 - row: 4057 Word: Pâtes - dist: 0.5412980318069458 - row: 4106 Word: Pâtes au Fromage - dist: 0.5590662360191345 - row: 2353 Word: Pâtes Fraiches aux Oeufs Farcies au Jambon Cru - dist: 0.5718926191329956 - row: 56127 Word: Pâtes aux Oeufs - dist: 0.5767703056335449 - row: 2498 Found embedding word: Pâtes Fraîches Farcies 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 Fraîches Farcies' ------------- Found solution (max 20) -------------- Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, aux légumes - - 0 - - - CIQ#14f0efde1a50d5e00617bb27421a595a Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis,aliment moyen - - 0 - - - CIQ#aaa1609be4c9d6de0b93cbda2f3dcec1 Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, aux légumes, crues - - 0 - - - CIQ#f957d7bc18a7c9e2e64e5ace8ff9b62a Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, au fromage et aux légumes - - 0 - - - CIQ#85f8ee791283a00c67731083eeffb9f1 Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, à la viande, ex : bolognaise - - 0 - - - CIQ#619550e2ca41340b08c3e0ce5d802aeb Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, au fromage et aux légumes, crues - - 0 - - - CIQ#c9f8ab6f11508f32ab94a2ad59cf9443 Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, ravioles du Dauphiné, au fromage - - 0 - - - CIQ#92e77693519b3f7ef04d690114ee25de Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, totellinis, à la viande, ex : bolognaise, crues - - 0 - - - CIQ#acab1c5e1879eab0b7e2a6caaad47a9d Pâtes Fraîches Farcies - pate fraiche farcie - ex : raviolis, tortellinis, ravioles du Dauphiné, au fromage, crues - - 0 - - - CIQ#1c46dab525672ef64b4e223f16a0b778 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67d175532c1cb/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pâtes Fraîches Farcies', 'normName': ' pate fraiche farcie ', 'comment': 'ex : raviolis, tortellinis, aux légumes', 'normComment': ' e ravioli tortellini au legume ', 'rank': 0, 'id': 'CIQ#14f0efde1a50d5e00617bb27421a595a', 'quantity': 'une assiette', 'quantityLem': '1 assiette', 'pack': ['NO2.w250', 'NOU.w250'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'NO2-100', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 8.014315605163574} ---------------------------------------------------------------------------------- LLM CPU Time: 8.014315605163574