Input path: /home/debian/html/nutritwin/output_llm/67f0397f2e77b/input.json Output path: /home/debian/html/nutritwin/output_llm/67f0397f2e77b/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/67f0397f2e77b/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": "bière", "quantity": "un verre", "type": "beverage", "event": "declaration" }, { "name": "coca", "brand": "Coca-Cola", "quantity": "une bouteille", "type": "beverage", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "bière", "quantity": "un verre", "type": "beverage", "event": "declaration" }, { "name": "coca", "brand": "Coca-Cola", "quantity": "une bouteille", "type": "beverage", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "bi\u00e8re", "quantity": "un verre", "type": "beverage", "event": "declaration" }, { "name": "coca", "brand": "Coca-Cola", "quantity": "une bouteille", "type": "beverage", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'bière', 'quantity': 'un verre', 'type': 'beverage', 'event': 'declaration'}, {'name': 'coca', 'brand': 'Coca-Cola', 'quantity': 'une bouteille', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'bière', 'quantity': 'un verre', 'type': 'beverage', '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 '% biere %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Bière - biere - - - 18991 - - - KCA#1d11a6915401dd88b3b740d39895862f Bière Allégée - biere allegee - - - 84 - - - KCA#84ee3801c88bbf7fe2a329f87a93cdcb Bière Blanche - biere blanche - - - 0 - - - CIQ#475caf56ce3ea751a299f73d5a818568 Bière d'Abbaye - biere abbaye - - - 2685 - - - KCA#9f3d1b16ed38f0776c6e2cb9ef7670d3 Bière sans Alcool - biere san alcool - - - 655 - - - KCA#f2b5c22bd8388d037dd6b6f5ae405f98 Bière sans Alcool - biere san alcool - <1,2° alcool - - 0 - - - CIQ#6ee02940a6e8d8882ca6f1a6a35c7c83 Bière Demi Brasserie - biere demi brasserie - - - 353 - - - KCA#b8d7d5e4cc1dcaa8ed2669a4ed59a3ee Bière 'Spéciale' 5-6° - biere speciale 6° - - - 1945 - - - KCA#0a60e3e86f21ca783cf5636a326ebc2e Bière de Spécialité ou Régionale - biere de specialite ou regionale - - - 190 - - - KCA#11b841bfd82a052d34e6c643f8bec396 Coq à la Bière - coq biere - - - 7 - - - KCA#ac6d432d8f6440ff37168d57a364091f Soupe à la Bière - soupe biere - la bière - - 0 - - - KCA#5d823e0c912390b7753ac7c6af959cf0 Levure de Bière - levure de biere - - - 533 - - - KCA#4913b875dd74e41a0a8a074476b69811 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'coca', 'brand': 'Coca-Cola', 'quantity': 'une bouteille', 'type': 'beverage', '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 '% coca %' AND V_NormTrademark LIKE '%coca cola%' ------------- Found solution (max 20) -------------- Coca Cola - coca cola - - The Coca-Cola Company - 0 - 0049000004632 - 0049000004632 - OFF#40538ecf4c32705b3b695d7a2d2b3611 Coca Zero - coca zero - - The Coca-Cola Company - 0 - 3348630001101 - 3348630001101 - OFF#440095f3b491e7e31cd0d061fc51039a Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5449000028921 - 0049000004632 - OFF#20f61f62bf57f7016ce7534ad4a33ade Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5449000155986 - 0049000004632 - OFF#9ebd6cc3a118cd0be4c1bdf4c247d6cf Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634716 - 0049000004632 - OFF#88d61dff0933f8e590144113cc5fbe1d Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634655 - 0049000004632 - OFF#3406355b3bacc2c71d87ae5715b5090a Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112632767 - 0049000004632 - OFF#07b9b58aabe14458999e1bfb98e87471 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112631104 - 0049000004632 - OFF#30539faf7d5765f120a708d779bbff5c Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112631029 - 0049000004632 - OFF#9b12e89e2a7c51a6d2314130eede254c Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112630794 - 0049000004632 - OFF#c802b479d07373b20244ae19f9866d1b Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112624663 - 0049000004632 - OFF#781452f961918695196b160a130f121e Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112624656 - 0049000004632 - OFF#1aa11fccd73b2506297d35c05e25668c Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112620047 - 0049000004632 - OFF#5fa47b84809957c26b74ef2cf2ca3881 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619997 - 0049000004632 - OFF#9c8fd611edcd6f445818d612e940ba65 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619959 - 0049000004632 - OFF#044755b9424ce5ab97492747546a7707 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634723 - 0049000004632 - OFF#4d069c23c7aaf392d5331bb6df53c608 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619386 - 0049000004632 - OFF#9a6fb1fc814d8435a8012f445c5422a3 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112611878 - 0049000004632 - OFF#6cf84d5d85e9ef0f5c5592e371cf72a8 Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112611748 - 0049000004632 - OFF#3da24a84935e71bf071d57cfe1811b6d Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112609691 - 0049000004632 - OFF#f8f46179d904948cee801fc72dce6f34 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67f0397f2e77b/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Bière', 'normName': ' biere ', 'comment': '', 'normComment': '', 'rank': 18991, 'id': 'KCA#1d11a6915401dd88b3b740d39895862f', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['BIE', 'C3B', 'C33', 'C50', 'BI4'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'BIE-100', 'posiNormName': 0}, {'name': 'Coca Cola', 'normName': ' coca cola ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#40538ecf4c32705b3b695d7a2d2b3611', 'quantity': 'une bouteille', 'quantityLem': '1 bouteille', 'pack': ['C50', 'C3B', 'C33', 'VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '0049000004632', 'gtinRef': '0049000004632', 'brand': 'The Coca-Cola Company', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.9172120094299316} ---------------------------------------------------------------------------------- LLM CPU Time: 3.9172120094299316