Input path: /home/debian/html/nutritwin/output_llm/68cdc0ce2fcba/input.json Output path: /home/debian/html/nutritwin/output_llm/68cdc0ce2fcba/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/68cdc0ce2fcba/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": "bouillon de poulet", "quantity": "un bol", "cookingMethod": "bouilli", "type": "food", "event": "declaration" }, { "name": "nouilles", "quantity": "une portion", "cookingMethod": "bouilli", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "bouillon de poulet", "quantity": "un bol", "cookingMethod": "bouilli", "type": "food", "event": "declaration" }, { "name": "nouilles", "quantity": "une portion", "cookingMethod": "bouilli", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "bouillon de poulet", "quantity": "un bol", "cookingMethod": "bouilli", "type": "food", "event": "declaration" }, { "name": "nouilles", "quantity": "une portion", "cookingMethod": "bouilli", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'bouillon de poulet', 'quantity': 'un bol', 'cookingMethod': 'bouilli', 'type': 'food', 'event': 'declaration'}, {'name': 'nouilles', 'quantity': 'une portion', 'cookingMethod': 'bouilli', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'bouillon de poulet', 'quantity': 'un bol', 'cookingMethod': 'bouilli', '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 '% bouillon de poulet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1216 seconds Word: Bouillon de Poulet - dist: 0.31745973229408264 - row: 63043 Word: Bouillon de Poule - dist: 0.3888377845287323 - row: 5315 Word: Bouillon de Volaille - dist: 0.4198461174964905 - row: 4021 Word: Bouillon Poule - dist: 0.43578943610191345 - row: 32266 Word: Bouillon de Poulet et Fines Herbes - dist: 0.43904197216033936 - row: 48312 Found embedding word: Bouillon de Poulet 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 = 'Bouillon de Poulet' ------------- Found solution (max 20) -------------- Bouillon de Poulet - bouillon de poulet - - Unilever - 0 - 8711100033073 - 8711100033073 - OFF#f32e24c8603eb9a8b181777ba150ade3 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'nouilles', 'quantity': 'une portion', 'cookingMethod': 'bouilli', '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 '% nouille %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Nouilles au Cury - nouille cury - - - 101 - - - KCA#939cc92ab65bbcbb683b43497f39fea3 Nouilles au Beurre - nouille beurre - - - 475 - - - KCA#069e37556b02d85393f0314920b44754 Nouilles au Gratin - nouille gratin - - - 71 - - - KCA#404df53be1bd9d4d128db0a2d02744d9 Nouilles Japonaises - nouille japonaise - - - 891 - - - KCA#47b66caeb31172a6f8fbe83564b018ff Nouilles aux Anchois - nouille au anchoi - - - 10 - - - KCA#97462d8503dc59d6b032d940b49d1dd1 Nouilles aux Légumes - nouille au legume - et à la crème fraiche - - 48 - - - KCA#7d849c1e84478b449c708125900e775a Nouilles au Roquefort - nouille roquefort - - - 10 - - - KCA#359528e24ed68d4de9a0b9fe3eaf656c Nouilles Soba au Daikon - nouille soba daikon - - - 76 - - - KCA#994e951ab3496505cbfa17ff8b93d58a Nouilles à l'Américaine - nouille americaine - - - 12 - - - KCA#cd8854b5687ecf79cfa70c9d820958df Nouilles à la Bolognaise - nouille bolognaise - - - 37 - - - KCA#6bec50047ef541da5beb543a3215cd38 Nouilles à la Florentine - nouille florentine - - - 2 - - - KCA#2a26c7dd611e6bb5029baa2e450dba41 Nouilles Hokkien au Boeuf - nouille hokkien boeuf - - - 62 - - - KCA#2c727e1ee8f9e91197746af8a2ddc966 Nouilles Fraîches Sautées - nouille fraiche sautee - au Poulet et au bok choy - - 285 - - - KCA#1831219ee7bfaf458d94200d3f4d5b33 Nouilles Asiatiques Cuites - nouille asiatique cuite - aromatisées - - 0 - - - CIQ#c4c2190e4bb3c824ce91b7191269365e Nouilles Fraiches à la Crème - nouille fraiche creme - - - 15 - - - KCA#fe95134e5411c06ca6a58c8e84f283fb Nouilles aux Oeufs à la Crème - nouille au oeuf creme - - - 25 - - - KCA#7fae2426417713f93b39b4638eabae9e Nouilles Fraiches à l'Alsacienne - nouille fraiche alsacienne - - - 6 - - - KCA#1873be752c55d84842bc2682d76fc170 Nouilles Sautées/poêlées aux Crevettes - nouille sautees/poelee au crevette - - - 0 - - - CIQ#4bb8105fe26846f459d5178acaa15061 Nouilles Sautées au Tofu et aux Légumes - nouille sautee tofu au legume - - - 207 - - - KCA#4117981ac2a6405fdb16316070747b8d Pâtes ou Nouilles Asiatiques au Blé - pate ou nouille asiatique ble - nature, non salées - - 0 - - - CIQ#9e996a13c01dfee3206e4c4b04e79c10 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68cdc0ce2fcba/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Bouillon de Poulet', 'normName': ' bouillon de poulet ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#f32e24c8603eb9a8b181777ba150ade3', 'quantity': 'un bol', 'quantityLem': '1 bol', 'pack': ['CUB.w8'], 'type': 'food', 'gtin': '8711100033073', 'gtinRef': '8711100033073', 'brand': 'Unilever', 'time': '', 'event': 'declaration', 'serving': 'CUB.w8-1bol', 'posiNormName': 0}, {'name': 'Nouilles au Cury', 'normName': ' nouille cury ', 'comment': '', 'normComment': '', 'rank': 101, 'id': 'KCA#939cc92ab65bbcbb683b43497f39fea3', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['NO2.k363'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.0739586353302} ---------------------------------------------------------------------------------- LLM CPU Time: 3.0739586353302