Input path: /home/debian/html/nutritwin/output_llm/68489ff03263a/input.json Output path: /home/debian/html/nutritwin/output_llm/68489ff03263a/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/68489ff03263a/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": "carottes", "quantity": "plusieurs", "cookingMethod": "cru", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "carottes", "quantity": "plusieurs", "cookingMethod": "cru", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "carottes", "quantity": "plusieurs", "cookingMethod": "cru", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'carottes', 'quantity': 'plusieurs', 'cookingMethod': 'cru', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'carottes', 'quantity': 'plusieurs', 'cookingMethod': 'cru', '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 '% carotte %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Carotte - carotte - - - 0 - - - CIQ#c25a5ac9d76a886e8d048234775511cc Carotte - carotte - crue - - 1 - - - CIQ#a7874f4f33fb2dbc15824a2e825563a1 Carotte - carotte - purée - - 0 - - - CIQ#9c5ebd1506b8bd79c185157a907e5bdb Carotte - carotte - surgelée - - 45 - - - CIQ#e3009eb73fdd922e2253b10af6bfa6d9 Carotte - carotte - égouttée - - 0 - - - CIQ#949bbc6db954a7c778a54ae6468f63c7 Carotte - carotte - à la vapeur - - 0 - - - CIQ#1de710714c0199745f6629010e1f4b1b Carotte - carotte - purée cuisinée à la crème - - 0 - - - CIQ#32559c9674d3bad3a4340c9eae6501ad Carotte - carotte - bouillie/cuite à l'eau, fondante - - 0 - - - CIQ#82c4ed5b7b54f49bfca9f849a0c03b48 Carotte - carotte - bouillie/cuite à l'eau, croquante - - 0 - - - CIQ#5cd51d236a0a8e7c95564dd5f01f45d9 Carotte (jus) - carotte - - - 12544 - - - KCA#c25a5ac9d76a886e8d048234775511cc Carottes Vichy - carotte vichy - - - 2919 - - - KCA#c3d70e0599b5f9ed8f8c5855114d2920 Carottes Rapées - carotte rapee - - - 11844 - - - KCA#5bab4982631307ce183c664c08e55546 Carottes Rapées - carotte rapee - à l'Orange - - 32 - - - KCA#73ce70cd5efc3dc60888616fadfd35af Carottes Surgelées - carotte surgelee - - - 0 - - - KCA#13cc5a1b7bf3fb616eae70ea61518915 Carottes à l'Étuvée - carotte etuvee - - - 1807 - - - KCA#49cbbe74a431d4e41b8704d1fe93ec8e Carottes Râpées Nature - carotte rapee nature - - - 1074 - - - KCA#08362e84e9b96863e50aef4a65b95bf4 Carottes à la Fermière - carotte fermiere - - - 180 - - - KCA#84ed7da5773a27fe3972f5bfb0dbc423 Carotte Râpée à la Vinaigrette - carotte rapee vinaigrette - - - 1371 - - - KCA#550aab930f59f61f6d4b015c1f19f2a7 Soupe à la Carotte - soupe carotte - - - 4 - - - CIQ#caea7c027f921522fe3dfa8ae19f528d Flan aux Carottes - flan au carotte - - - 195 - - - KCA#aa67df5d93c0fe5f69f4a1cbc7b479be ---------------------------------------------------- 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/68489ff03263a/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Carotte', 'normName': ' carotte ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#c25a5ac9d76a886e8d048234775511cc', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['CAR.w125'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.6534359455108643} ---------------------------------------------------------------------------------- LLM CPU Time: 1.6534359455108643