Input path: /home/debian/html/nutritwin/output_llm/690f59bd85af6/input.json Output path: /home/debian/html/nutritwin/output_llm/690f59bd85af6/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/690f59bd85af6/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": "penne rigate", "quantity": "400g", "cookingMethod": "al dente", "type": "food", "brand": "Barilla", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "penne rigate", "quantity": "400g", "cookingMethod": "al dente", "type": "food", "brand": "Barilla", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "penne rigate", "quantity": "400g", "cookingMethod": "al dente", "type": "food", "brand": "Barilla", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'penne rigate', 'quantity': '400g', 'cookingMethod': 'al dente', 'type': 'food', 'brand': 'Barilla', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'penne rigate', 'quantity': '400g', 'cookingMethod': 'al dente', 'type': 'food', 'brand': 'Barilla', 'event': 'unknownEvent'} 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 '% penne rigate %' AND V_NormTrademark LIKE '%barilla%' ------------- Found solution (max 20) -------------- Penne Rigate - penne rigate - - Barilla - 0 - 8076800105735 - 8076800105735 - OFF#75fc5c4871ade4903cbe9373e013c452 Penne Rigate - penne rigate - - Barilla - 0 - 8076809579681 - 8076800105735 - OFF#2cca1255942b71d1aa2cd0fc268bac80 Penne Rigate - penne rigate - - Barilla - 0 - 8076809571319 - 8076800105735 - OFF#4339f8495350a4562566fcb9ed08c64b Penne Rigate - penne rigate - - Barilla - 0 - 8076809535250 - 8076800105735 - OFF#d9239dd147d07062d6c7443075c374db Penne Rigate - penne rigate - - Barilla - 0 - 93233798 - 8076800105735 - OFF#a6991cc0a48c645a5e00d27bcd4cfa57 Penne Rigate - penne rigate - - Barilla - 0 - 8076809105767 - 8076800105735 - OFF#814401f86a807d915f50a0929dcd1617 Penne Rigate N73 - penne rigate n73 - - Barilla - 0 - 8076800035735 - 8076800035735 - OFF#6e2fbfbb210cbcb6ef48de453f4db046 Penne Rigate N 72 - penne rigate 72 - - Barilla - 0 - 0076808020731 - 0076808020731 - OFF#daf5583bf77c41a6801f2dcc90250b5c Penne Rigate N 73 - penne rigate 73 - - Barilla - 0 - 8076809540490 - 8076809540490 - OFF#1101b527caa9a582d36a2dc94385a7a2 Penne Rigate N 73 - penne rigate 73 - - Barilla - 0 - 8076809546782 - 8076809540490 - OFF#6651c977feda60f9f7696d5131f44abe Penne Rigate Integrale - penne rigate integrale - - Barilla - 0 - 8076809575492 - 8076809575492 - OFF#9c46c51491da7d433c5d98cf7d01ca4f Penne Rigate Biologique - penne rigate biologique - - Barilla - 0 - 8076809570626 - 8076809570626 - OFF#497f8388b162f7576f1637aa1b349a23 Penne Rigate 5 Céréales - penne rigate cereale - - Barilla - 0 - 8076809572743 - 8076809572743 - OFF#ecc8461ff6e63efc8307c21ac2726d4e Penne Rigate Senza Glutine - penne rigate senza glutine - - Barilla - 0 - 8076819544457 - 8076819544457 - OFF#7c98ca76a79e348584ddc910d87a0198 Penne Rigate N 73 Pâtes Alimentaires au Blé Dur - penne rigate 73 pate alimentaire ble dur - - Barilla - 0 - 8076809546683 - 8076809546683 - OFF#1bfb1609f721cba811d0b5c0ed3f3ca1 Penne Rigate Al Bronzo Pâtes Alimentaires de Qualité Supérieure - penne rigate al bronzo pate alimentaire de qualite superieure - - Barilla - 0 - 8076809580847 - 8076809580847 - OFF#af38e66583e2495bfed7a7e27836d51f Mini Penne Rigate I Piccolini - mini penne rigate piccolini - - Barilla - 0 - 8076809523844 - 8076809523844 - OFF#fcd0f101da09a734c9ddae597be61474 Pâtes Penne Rigate Cuisson 3 Min - pate penne rigate cuisson min - - Barilla - 0 - 8076809572217 - 8076809572217 - OFF#096cbcd82d8fe59cb880eaa145b26eca Pâtes Penne Rigate Cuisson 3 Min - pate penne rigate cuisson min - - Barilla - 0 - 8076809574891 - 8076809572217 - OFF#314b706490377178acd551e7a8ade617 Mezze Penne Rigate N70 - mezze penne rigate n70 - - Barilla - 0 - 8076800105704 - 8076800105704 - OFF#aef4846f34e3fc1ad5200fce76145da4 ---------------------------------------------------- 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 --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/690f59bd85af6/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Penne Rigate', 'normName': ' penne rigate ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#75fc5c4871ade4903cbe9373e013c452', 'quantity': '400g', 'quantityLem': '400g', 'pack': ['NO2.w150'], 'type': 'food', 'gtin': '8076800105735', 'gtinRef': '8076800105735', 'brand': 'Barilla', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.9279985427856445} ---------------------------------------------------------------------------------- LLM CPU Time: 1.9279985427856445