Input path: /home/debian/html/nutritwin/output_llm/684208b9d4c3d/input.json Output path: /home/debian/html/nutritwin/output_llm/684208b9d4c3d/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/684208b9d4c3d/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": "purée de pommes", "quantity": "une poche", "type": "food", "event": "unknown", "brand": "Pom'Potes", "company": "Materne" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "purée de pommes", "quantity": "une poche", "type": "food", "event": "unknown", "brand": "Pom'Potes", "company": "Materne" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "pur\u00e9e de pommes", "quantity": "une poche", "type": "food", "event": "unknown", "brand": "Pom'Potes", "company": "Materne" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'purée de pommes', 'quantity': 'une poche', 'type': 'food', 'event': 'unknown', 'brand': "Pom'Potes", 'company': 'Materne'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'purée de pommes', 'quantity': 'une poche', 'type': 'food', 'event': 'unknown', 'brand': "Pom'Potes", 'company': 'Materne'} 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 '% puree de pomme %' AND V_NormTrademark LIKE '%pom potes%' --> CPU time in DB: 0.1267 seconds Word: Purée de Pommes - dist: 0.3106061518192291 - row: 4422 Word: Purée de Pomme - dist: 0.3266812860965729 - row: 23494 Word: Puree de Pommes - dist: 0.35602641105651855 - row: 32310 Word: Pureé de Pommes - dist: 0.3586410880088806 - row: 32311 Word: Puree de Pomme - dist: 0.3693043291568756 - row: 8863 Found embedding word: Purée de Pommes 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 = 'Purée de Pommes' ------------- Found solution (max 20) -------------- Purée de Pommes - puree de pomme - - Andros - 0 - 3045320524932 - 3045320524932 - OFF#71d353ec4fc4da6f012dab227a4da7ee Purée de Pommes - puree de pomme - - Les Mousquetaires - 0 - 3250391369898 - 3250391369898 - OFF#07c49918925ec976ad117014a1431af8 Purée de Pommes - puree de pomme - - La Vie Claire - 0 - 3266191025070 - 3266191025070 - OFF#6156d3006d90137c0d758b144e8a3959 Purée de Pommes - puree de pomme - - Coteaux Nantais - 0 - 3301597001171 - 3301597001171 - OFF#acf55a10b9053ac66ef79569b7aa1362 Purée de Pommes - puree de pomme - - Monoprix - 0 - 3350031812187 - 3350031812187 - OFF#f2af1457421a686d8efabe484db0d96f Purée de Pommes - puree de pomme - - Carrefour - 0 - 3560070762224 - 3560070762224 - OFF#ad463008b945175e1fb58230b5fbe6f8 Purée de Pommes - puree de pomme - - Franprix - 0 - 3263851865311 - 3263851700919 - OFF#89372e603d86d80f0aec459bfc0d421b Purée de Pommes - puree de pomme - - La Vie Claire - 0 - 3266191025308 - 3266191025070 - OFF#ff4bc5a39fef39dc95c2cc28b931f5d6 Purée de Pommes - puree de pomme - - La Vie Claire - 0 - 3266191053059 - 3266191025070 - OFF#8f2006ae0687bb4941c7469562452ad9 Purée de Pommes - puree de pomme - - La Vie Claire - 0 - 3266191025094 - 3266191025070 - OFF#3b50610993c4536ee6d3deb19e94e8b7 Purée de Pommes - puree de pomme - - La Vie Claire - 0 - 3266191053110 - 3266191025070 - OFF#80d68b142b85fe0cc5686da0adb79040 Purée de Pommes - puree de pomme - - Coteaux Nantais - 0 - 3301597004981 - 3301597001171 - OFF#8d4c13472ef972e835b37cd83cd886cf Purée de Pommes - puree de pomme - - Coteaux Nantais - 0 - 3301597005292 - 3301597001171 - OFF#4bce28a2cd11c46af0e80bb62ae63aba Purée de Pommes - puree de pomme - - Carrefour - 0 - 3560071264703 - 3560070762224 - OFF#057a4f872bcbd56b74e91feeac404867 Purée de Pommes - puree de pomme - - Carrefour - 0 - 3560071269999 - 3560070762224 - OFF#e34c08cb6a3d70493c757549aa2fc477 Purée de Pommes - puree de pomme - type "compote sans sucres ajoutés - - 0 - - - CIQ#5a979625c9056bf32a0fad9e4d7f29bf ---------------------------------------------------- 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 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 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/684208b9d4c3d/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Purée de Pommes', 'normName': ' puree de pomme ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#71d353ec4fc4da6f012dab227a4da7ee', 'quantity': 'une poche', 'quantityLem': '1 poche', 'pack': ['YA1.w125'], 'type': 'food', 'gtin': '3045320524932', 'gtinRef': '3045320524932', 'brand': 'Andros', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.673390865325928} ---------------------------------------------------------------------------------- LLM CPU Time: 4.673390865325928