Input path: /home/debian/html/nutritwin/output_llm/677d13d3b2990/input.json Output path: /home/debian/html/nutritwin/output_llm/677d13d3b2990/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/677d13d3b2990/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": "pain", "quantity": "une tranche", "cookingMethod": "grillé", "type": "food", "event": "declaration" }, { "name": "sauce", "quantity": "une portion", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "pain", "quantity": "une tranche", "cookingMethod": "grillé", "type": "food", "event": "declaration" }, { "name": "sauce", "quantity": "une portion", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "pain", "quantity": "une tranche", "cookingMethod": "grill\u00e9", "type": "food", "event": "declaration" }, { "name": "sauce", "quantity": "une portion", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'pain', 'quantity': 'une tranche', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'declaration'}, {'name': 'sauce', 'quantity': 'une portion', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pain', 'quantity': 'une tranche', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'declaration'} 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 '% pain %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pain - pain - - - 261532 - - - CIQ#78316c0b820d8f80c640c9d0bc741c50 Pain - pain - sans gluten - - 29 - - - CIQ#9d6a800b4a9dbe9504fb68b26057ad7b Pain - pain - baguette, courante - - 0 - - - CIQ#c92016dc98d790db0bc7c949d601f5c2 Pain - pain - baguette ou boule, au levain - - 0 - - - CIQ#4b65f0348cbdd1f29daadea789369616 Pain - pain - baguette ou boule, de campagne - - 0 - - - CIQ#665da1982ec8e7e74501d57dc7e111b8 Pain - pain - baguette, de tradition française - - 0 - - - CIQ#e5e8a2a86b1a95d66e26a64c18c0b520 Pain - pain - baguette ou boule, bis, à la farine T80 ou T110 - - 0 - - - CIQ#233b9a74f0cc423be7b3fe6fa040567b Pain - pain - baguette ou boule, bio, à la farine T55 jusqu'à T110 - - 0 - - - CIQ#91fae3ae1c9b87dd0039d7caa03a7d72 Pain - pain - baguette ou boule, aux céréales et graines, artisanal - - 0 - - - CIQ#5fed24621fe6dde995398f020bf84d7d Pain Bis - pain bi - - - 77 - - - KCA#0d04d397f5620b8618c8972be2ce29a7 Pain Pita - pain pita - - - 951 - - - KCA#0a6b29619370c1e5c09e5ec16992feed Pain Azyme - pain azyme - - - 1038 - - - KCA#90d292248257ebd4aba91b7e0f6f67d7 Pain Perdu - pain perdu - - - 783 - - - CIQ#67427fe34e70bfc99fd131b16908c1ee Pain de Son - pain de son - - - 302 - - - KCA#3ccdb3c87985b4f83e1354ee3a2cebfd Pain au Son - pain son - - - 0 - - - CIQ#825cc00fe7ac81ed34e142fde0f6ddf4 Pain de Mie - pain de mie - au son - - 0 - - - CIQ#1f8d06921f1e892824b0f8cef870e840 Pain de Mie - pain de mie - complet - - 7211 - - - CIQ#d93405497d2314d29dbd770c5b956eeb Pain de Mie - pain de mie - courant - - 0 - - - CIQ#667832b5357e637fdb28760b7d6c2d8d Pain Grillé - pain grille - domestique - - 0 - - - CIQ#f4bc68c618fb825e526db4034e88b66a Pain de Mie - pain de mie - sans croûte - - 32 - - - CIQ#be3f663945b51703d39413cadc3becab ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'sauce', 'quantity': 'une portion', 'type': 'food', 'event': 'declaration'} 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 '% sauce %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Sauce Soja - sauce soja - - - 3 - - - CIQ#b952eceb45cb10013a92ef0779b17653 Sauce Pesto - sauce pesto - - - 1574 - - - CIQ#1522ff5f8e2afb98f43dc84032eb88a2 Sauce Tomate - sauce tomate - sauce tomate - - 0 - - - KCA#7d512351ce711d864802585661fe5016 Sauce au Curry - sauce curry - - - 756 - - - CIQ#9210f7eca1ee3b1897594c0178290b20 Sauce Barbecue - sauce barbecue - - - 605 - - - CIQ#ef41b91b3553734511e938471949c410 Sauce au Chocolat - sauce chocolat - - - 0 - - - CIQ#499da9cecdcb14e8c3264dd25833827c Sauce Végétale Type Bolognaise - sauce vegetale type bolognaise - - - 0 - - - CIQ#84e99ba7b00b9d430019fdda2fd5f7c0 Sauce Nuoc Mâm ou Sauce au Poisson - sauce nuoc mam ou sauce poisson - - - 0 - - - CIQ#af0e9d2be8f4dd30887de87ebdddf63f Sauce Basquaise ou Sauce aux Poivrons - sauce basquaise ou sauce au poivron - - - 0 - - - CIQ#47d21249bc4ab285956c9e298c68bb6d Sauce pour Nems à Base de Nuoc-mam Dilué - sauce pour nem base de nuoc mam dilue - - - 0 - - - CIQ#68d76cc02b44928be15871a78b9d94f0 Raie à la Sauce Rose - raie sauce rose - - - 7 - - - KCA#1444c15182b9ef2f68e738c71bfb6cc7 Porc à la Sauce Satay - porc sauce satay - - - 60 - - - KCA#aed030947a37a27a9fdcf9addd4e67bc Oeufs à la Sauce Robert - oeuf sauce robert - - - 2 - - - KCA#8624d58a57b5203a5e66034982f48874 Oeufs à la Sauce Béarnaise - oeuf sauce bearnaise - - - 11 - - - KCA#b3c010b58057c755805baed78408c687 Boeuf Sauce Satay - boeuf sauce satay - - - 198 - - - KCA#2892f776d49ca112a8d9a6cdd51df956 Moules Sauce Rousse - moule sauce rousse - - - 39 - - - KCA#e28239723ff413f8d4c84fea8b2301c9 Steaks Sauce Persil - steak sauce persil - sauce persil - - 0 - - - KCA#6524592e1b23ceffe76c9e0ff784370d Moules à la Sauce Catalane ou Escabèche - moule sauce catalane ou escabeche - tomate, égouttée - - 0 - - - CIQ#c816954f008a5e5e39aad2cbf43621e8 Abats en Sauce - abat en sauce - - - 11 - - - KCA#eb1dcd4090f766ad17ceaa2a6323f56f Poisson Sauce Oseille - poisson sauce oseille - - - 93 - - - KCA#aa876384995dcab3ff5f07a2d998ee89 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/677d13d3b2990/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pain', 'normName': ' pain ', 'comment': '', 'normComment': '', 'rank': 261532, 'id': 'CIQ#78316c0b820d8f80c640c9d0bc741c50', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['PAI.w60', 'BAG.w60', 'TPA.w30'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TPA-100', 'posiNormName': 0}, {'name': 'Sauce Soja', 'normName': ' sauce soja ', 'comment': '', 'normComment': '', 'rank': 3, 'id': 'CIQ#b952eceb45cb10013a92ef0779b17653', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['CSS.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.530773401260376} ---------------------------------------------------------------------------------- LLM CPU Time: 3.530773401260376