Input path: /home/debian/html/nutritwin/output_llm/67f6b91e62f4e/input.json Output path: /home/debian/html/nutritwin/output_llm/67f6b91e62f4e/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/67f6b91e62f4e/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": "bœuf", "quantity": "15% de matière grasse", "cookingMethod": "préparé", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "bœuf", "quantity": "15% de matière grasse", "cookingMethod": "préparé", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "b\u0153uf", "quantity": "15% de mati\u00e8re grasse", "cookingMethod": "pr\u00e9par\u00e9", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'bœuf', 'quantity': '15% de matière grasse', 'cookingMethod': 'préparé', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'bœuf', 'quantity': '15% de matière grasse', 'cookingMethod': 'préparé', '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 '% boeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Boeuf - boeuf - braisé - - 165 - - - CIQ#6bf042cfd7d5c96e40030f0e0cdfdc3d Boeuf - boeuf - boulettes - - 0 - - - CIQ#e40719732bd6d44e00a5945f15b6d4d4 Boeuf - boeuf - hampe, crue - - 0 - - - CIQ#795ea114e40ecfce0c00c9307c085c06 Boeuf - boeuf - onglet, grillé - - 0 - - - CIQ#656a9124a19a1ea062fd3f6ccfe0378d Boeuf - boeuf - gîte à la noix - - 0 - - - CIQ#e8e07f473a2894b57ded106dc2050aff Boeuf - boeuf - collier, braisé - - 0 - - - CIQ#7042cead5a407ed42d0ecf98c1c0f637 Boeuf - boeuf - rumsteck, grillé - - 0 - - - CIQ#a0a6bdb2c256304eab49ef399c281cc9 Boeuf - boeuf - steak haché 5% MG - - 0 - - - CIQ#46a64488bd2840f33293dee55de913be Boeuf - boeuf - steak haché 20% MG - - 0 - - - CIQ#80823c89d118427f4c7b8e1a643042e1 Boeuf - boeuf - steak haché 15% MG - - 0 - - - CIQ#a5cf04bcb1a69860331098bd7a697a6a Boeuf - boeuf - steak haché 10% MG - - 0 - - - CIQ#6231e89ba5643de9c42afd55ab45defd Boeuf - boeuf - hampe, grillée/poêlée - - 0 - - - CIQ#03f60c494670d8bf21569c9acdc1fc68 Boeuf - boeuf - plat de côtes, braisé - - 0 - - - CIQ#8f0bf33a6959aa00d36c29e8b89614e4 Boeuf - boeuf - faux-filet, grillé/poêlé - - 0 - - - CIQ#fda06a69148b168f24cfb42ebb4c6300 Boeuf - boeuf - steak ou bifteck, grillé - - 0 - - - CIQ#0a61c57359e767c7756adc05bb37ec86 Boeuf - boeuf - joue, braisée ou bouillie - - 0 - - - CIQ#5ddb7a08c3886f09916bf4f648a95d32 Boeuf - boeuf - steak haché,aliment moyen - - 0 - - - CIQ#e069559b718a0098a4592708f724e4ee Boeuf - boeuf - rosbif, rôti/cuit au four - - 0 - - - CIQ#0370a624bd43b1a25aa9ae8be56977bc Boeuf - boeuf - paleron, braisé ou bouilli - - 0 - - - CIQ#dfad3151aa7cf2c14a61721369a4991b Boeuf - boeuf - à bourguignon ou pot-au-feu - - 0 - - - CIQ#3ef10e5ceceb49f23a09e88664fa2bba ---------------------------------------------------- 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 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/67f6b91e62f4e/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Boeuf', 'normName': ' boeuf ', 'comment': 'braisé', 'normComment': ' braise ', 'rank': 165, 'id': 'CIQ#6bf042cfd7d5c96e40030f0e0cdfdc3d', 'quantity': '15% de matière grasse', 'quantityLem': '15% matiere grasse', 'pack': ['SI2.w300'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.936415672302246} ---------------------------------------------------------------------------------- LLM CPU Time: 3.936415672302246