Input path: /home/debian/html/nutritwin/output_llm/680f10f68ae75/input.json Output path: /home/debian/html/nutritwin/output_llm/680f10f68ae75/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/680f10f68ae75/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": "compote", "quantity": "un pot", "type": "food", "event": "declaration", "brand": "Paqito", "timeOfTheDay": "snacking" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "compote", "quantity": "un pot", "type": "food", "event": "declaration", "brand": "Paqito", "timeOfTheDay": "snacking" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "compote", "quantity": "un pot", "type": "food", "event": "declaration", "brand": "Paqito", "timeOfTheDay": "snacking" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'compote', 'quantity': 'un pot', 'type': 'food', 'event': 'declaration', 'brand': 'Paqito', 'timeOfTheDay': 'snacking'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'compote', 'quantity': 'un pot', 'type': 'food', 'event': 'declaration', 'brand': 'Paqito', 'timeOfTheDay': 'snacking'} 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 '% compote %' AND V_NormTrademark LIKE '%paqito%' --> CPU time in DB: 0.1200 seconds Word: Compote - dist: 0.3450385332107544 - row: 4365 Word: Compote de Pomme - dist: 0.4716184437274933 - row: 4374 Word: Compote de Pommes - dist: 0.47230014204978943 - row: 5379 Word: Compote de Fruit - dist: 0.47297510504722595 - row: 59116 Word: Compotes - dist: 0.4769507348537445 - row: 51741 Found embedding word: Compote 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 = 'Compote' ------------- Found solution (max 20) -------------- Compote - compote - - group Bel - 0 - 3021760290552 - 3021760290552 - OFF#4ab328360a161057d43a17afba270fd0 Compote - compote - - Bonne Maman - 0 - 3045320006919 - 3045320006919 - OFF#04b7951217cfb84d97b3d59a28797b4e Compote - compote - - St Mamet - 0 - 3080920992330 - 3080920992330 - OFF#622e60a0474e7b369f45bf9b529bd2a9 Compote - compote - - U - 0 - 3256220581363 - 3256220581363 - OFF#7082988b7190d8f5cc5f9241a22801ff Compote - compote - - Cora - 0 - 3257980112835 - 3257980112835 - OFF#dcc7ec53a5c73f06b4ad82f644cb101f Compote - compote - - Charles & Alice - 0 - 3297760019329 - 3297760019329 - OFF#befbb90ecec60225b3ecdd330a00967e Compote - compote - - Monoprix - 0 - 3350033672666 - 3350033672666 - OFF#ee2390e979216d9776596f57ed983c9e Compote - compote - - Andros - 0 - 35314356 - 35314356 - OFF#7e610a67b8f8df5173a61d124e2e23e6 Compote - compote - - Leclerc - 0 - 3564700198247 - 3564700198247 - OFF#e9c4e3f54e150a9ba1de4ee69bf41565 Compote - compote - - Auchan - 0 - 3596710379286 - 3596710379286 - OFF#b72dd2d78773db49b1279efd6253a6a1 Compote - compote - - Quick - 0 - 3608580806349 - 3608580806349 - OFF#5360c0df9f676ba93306bdbc4cf86a7b Compote - compote - - Lidl - 0 - 4056489314868 - 4056489314868 - OFF#a39935bbea70f780c4988d251dd1e9bd Compote - compote - - Carrefour - 0 - 5400101178892 - 5400101178892 - OFF#c6e4686d2d24dbe13152781697922925 Compote - compote - - Delhaize - 0 - 5400113024309 - 5400113024309 - OFF#a67be434a8254038a280a48887bb162f Compote - compote - - group Bel - 0 - 3021760292501 - 3021760290552 - OFF#b29929a5f803bb910db8487c3bcc4ec0 Compote - compote - - group Bel - 0 - 3021762408023 - 3021760290552 - OFF#d31b09c2114ea0c730e71523e47db6dd Compote - compote - - group Bel - 0 - 3021760291962 - 3021760290552 - OFF#3c8a8b16e920600b28483e08ff0aef07 Compote - compote - - group Bel - 0 - 3021760291672 - 3021760290552 - OFF#dfd0c35014291f862c8b3cdc9b10ac5f Compote - compote - - group Bel - 0 - 3021760406212 - 3021760290552 - OFF#8518996ada1153f4b94bb33d37c03a8f Compote - compote - - group Bel - 0 - 3021760291795 - 3021760290552 - OFF#5e18cd3f5bac4f48b11f19bf09c85e46 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/680f10f68ae75/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Compote', 'normName': ' compote ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#4ab328360a161057d43a17afba270fd0', 'quantity': 'un pot', 'quantityLem': '1 pot', 'pack': ['YA1.w125'], 'type': 'food', 'gtin': '3021760290552', 'gtinRef': '3021760290552', 'brand': 'group Bel', 'time': 'snacking', 'event': 'declaration', 'serving': 'YA1-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.6500415802001953} ---------------------------------------------------------------------------------- LLM CPU Time: 2.6500415802001953