Input path: /home/debian/html/nutritwin/output_llm/68e40610a1c3d/input.json Output path: /home/debian/html/nutritwin/output_llm/68e40610a1c3d/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/68e40610a1c3d/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": "petits pois", "quantity": "une boîte", "cookingMethod": "Tendres et savoureux", "type": "food", "brand": "Cassegrain", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "petits pois", "quantity": "une boîte", "cookingMethod": "Tendres et savoureux", "type": "food", "brand": "Cassegrain", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "petits pois", "quantity": "une bo\u00eete", "cookingMethod": "Tendres et savoureux", "type": "food", "brand": "Cassegrain", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'petits pois', 'quantity': 'une boîte', 'cookingMethod': 'Tendres et savoureux', 'type': 'food', 'brand': 'Cassegrain', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'petits pois', 'quantity': 'une boîte', 'cookingMethod': 'Tendres et savoureux', 'type': 'food', 'brand': 'Cassegrain', '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 '% petit poi %' AND V_NormTrademark LIKE '%cassegrain%' --> CPU time in DB: 0.1233 seconds Word: Petits Pois - dist: 0.320989191532135 - row: 4181 Word: Petit Pois - dist: 0.3505529761314392 - row: 9303 Word: Petits Poisne - dist: 0.42142996191978455 - row: 9056 Word: Petits Pois et Carottes - dist: 0.45476630330085754 - row: 4180 Word: Petits Pois Cuits - dist: 0.45562171936035156 - row: 2735 Found embedding word: Petits Pois 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 = 'Petits Pois' ------------- Found solution (max 20) -------------- Petits Pois - petit poi - - Bonduelle - 0 - 1002510549 - 1002510549 - OFF#a9a3e42027c8f25e00ac1015614d2d6f Petits Pois - petit poi - - Casino - 0 - 3222475197895 - 3222475197895 - OFF#ac7b03d83d1b50f71ef0d4b40e7b8352 Petits Pois - petit poi - - Monoprix - 0 - 3248650013972 - 3248650013972 - OFF#d1f08ca73532f7f3f13879782cfed2d3 Petits Pois - petit poi - - Picard - 0 - 3270160095957 - 3270160095957 - OFF#791054750f875c725d85419bbc13a8ec Petits Pois - petit poi - - Carrefour - 0 - 3270190207351 - 3270190207351 - OFF#e69ec7f33e5f1eaaf3320bfa760e12c4 Petits Pois - petit poi - - Jardin Bio - 0 - 3307130803905 - 3307130803905 - OFF#6188dd38010126ec727052f61fdd4a01 Petits Pois - petit poi - - Rochambeau - 0 - 3439495003307 - 3439495003307 - OFF#2a2ba15f4b15040c4ab8fef8814ac6ae Petits Pois - petit poi - - Bio Village - 0 - 3564707173001 - 3564707173001 - OFF#f2281e93757d55c224b80dad768738fa Petits Pois - petit poi - - Auchan - 0 - 3596710395774 - 3596710395774 - OFF#932335b17a3a3323c4a8217d28142451 Petits Pois - petit poi - - Bonduelle - 0 - 3083681094183 - 1002510549 - OFF#8b74ecd11ef25b6e35d0ceae0276716b Petits Pois - petit poi - - Bonduelle - 0 - 3083680085311 - 1002510549 - OFF#ce26d1cbae4116413a96731e9f4bb8c4 Petits Pois - petit poi - - Bonduelle - 0 - 3083681094282 - 1002510549 - OFF#121b708b5466378352e2dbce759e2a7c Petits Pois - petit poi - - Bonduelle - 0 - 3083680482035 - 1002510549 - OFF#3e501b8c098b910d1bfb27d7dd6b51dc Petits Pois - petit poi - - D'Aucy - 0 - 3017800503416 - 3017800126677 - OFF#55286be5d931d187e9d42f302c158548 Petits Pois - petit poi - - Casino - 0 - 3222477757691 - 3222475197895 - OFF#f0fbac06732374eedadcd7694d0c9f70 Petits Pois - petit poi - - Les Mousquetaires - 0 - 3250393054273 - 3250392292140 - OFF#6e5b5afc9557928568e00c79f180d5b3 Petits Pois - petit poi - - Carrefour - 0 - 3560071139315 - 3270190207351 - OFF#d9645311134c8ca57d9f18ce84dc87fb Petits Pois - petit poi - - Carrefour - 0 - 3560781483852 - 3270190207351 - OFF#2a14f0734823ef69da807c501b963023 Petits Pois - petit poi - - Carrefour - 0 - 3560071132903 - 3270190207351 - OFF#848a4d6ac1eed2e40d70f1ea56028813 Petits Pois - petit poi - - Jardin Bio - 0 - 35365440 - 3307130803905 - OFF#19f31459b3070e6b3327cd54aa8a3e96 ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68e40610a1c3d/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Petits Pois', 'normName': ' petit poi ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#a9a3e42027c8f25e00ac1015614d2d6f', 'quantity': 'une boîte', 'quantityLem': '1 boite', 'pack': ['TIN.w440'], 'type': 'food', 'gtin': '1002510549', 'gtinRef': '1002510549', 'brand': 'Bonduelle', 'time': '', 'event': 'unknownEvent', 'serving': 'TIN-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.535303831100464} ---------------------------------------------------------------------------------- LLM CPU Time: 2.535303831100464