Input path: /home/debian/html/nutritwin/output_llm/6793bd5db39a5/input.json Output path: /home/debian/html/nutritwin/output_llm/6793bd5db39a5/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/6793bd5db39a5/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": "sucre", "quantity": "un sachet", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "sucre", "quantity": "un sachet", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "sucre", "quantity": "un sachet", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'sucre', 'quantity': 'un sachet', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sucre', 'quantity': 'un sachet', 'type': 'food', '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 '% sucre %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Sucre - sucre - en poudre - - 13047 - - - KCA#a61491f490cb44bcf59ef948a0097b8f Sucre - sucre - en morceau - - 0 - - - KCA#54f1b4b11e3cacc4441b29dc0d4e6d7d Sucre d'Orge - sucre orge - sucre d'orge - - 0 - - - KCA#0aad9125e3f7faaedd95c65b67cdfff8 Thé Sucré (1 Sucre) - the sucre - sucré (1 sucre) - - 0 - - - KCA#ce556337e0d9788306e32b24fe0fe081 Tarte au Sucre - tarte sucre - au sucre - - 0 - - - KCA#b88be5d2e1f4fc863d3a9d26612348c4 Thé sans Sucre - the san sucre - sans sucre - - 0 - - - KCA#9de5d7e3a39cb14df7a2014ed9319364 Cramique au Sucre - cramique sucre - - - 0 - - - KCA#206b9e9912d03ca3e5d1fb7e0ec65a02 Thé au Lait Sucré - the lait sucre - 1 sucre - - 2799 - - - KCA#f79219b7fdb1e0186da32547f7467cc3 Compote sans Sucre Ajouté - compote san sucre ajoute - - - 2324 - - - KCA#17a6c2151d31a2bb189254fd2c58c402 Crêpe Beurre Sucre - crepe beurre sucre - - - 1261 - - - KCA#adf06f3567a044e35baea32b960ad4dc Thé au Lait sans Sucre - the lait san sucre - sans sucre - - 0 - - - KCA#978c8f4bf945ce13218480e6d937996a Yaourt Maigre Sucré - yaourt maigre sucre - maigre sucré - - 0 - - - KCA#ab6f36de7f77a66f9719584243652846 Yaourt Nature Sucré - yaourt nature sucre - nature sucré - - 0 - - - KCA#04a07931e0bb88a2fa79ac588ff372a1 Yaourt Nature Sucré Canne - yaourt nature sucre canne - sucré canne - - 0 - - - KCA#d4d5ace21d166e38b4293d4e7494b03b Lait Concentré Sucré - lait concentre sucre - entier - - 54 - - - CIQ#d4f364c31af4c7307ce5a6915bf7b666 Thé à la Menthe sans Sucre - the menthe san sucre - sans sucre - - 0 - - - KCA#d6b018fd859ac0e6ee70bca51b09db90 Lait Concentré Sucré Entier - lait concentre sucre entier - - - 0 - - - KCA#88a049a8f0f8d6c0874b091aa262d73d Chewing-gum sans Sucre - chewing gum san sucre - - - 1111 - - - KCA#bee105cc0aa2520383874741d086579b Chocolat Noir sans Sucres Ajoutés - chocolat noir san sucre ajoute - avec édulcorants, en tablette - - 0 - - - CIQ#3cece312c84cb7ddd4bcc80edf31a153 Chocolat au Lait sans Sucres Ajoutés - chocolat lait san sucre ajoute - avec édulcorants, tablette - - 0 - - - CIQ#09bc5fef8a8b1113265bb2a0ddc95b2f ---------------------------------------------------- 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/6793bd5db39a5/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Sucre', 'normName': ' sucre ', 'comment': 'en poudre', 'normComment': ' en poudre ', 'rank': 13047, 'id': 'KCA#a61491f490cb44bcf59ef948a0097b8f', 'quantity': 'un sachet', 'quantityLem': '1 sachet', 'pack': ['CSS.w5'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.237056016921997} ---------------------------------------------------------------------------------- LLM CPU Time: 2.237056016921997