Input path: /home/debian/html/nutritwin/output_llm/68bac54255e31/input.json Output path: /home/debian/html/nutritwin/output_llm/68bac54255e31/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/68bac54255e31/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": "beignet", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "chocolat", "quantity": "un morceau", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "beignet", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "chocolat", "quantity": "un morceau", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "beignet", "quantity": "un", "type": "food", "event": "declaration" }, { "name": "chocolat", "quantity": "un morceau", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'beignet', 'quantity': 'un', 'type': 'food', 'event': 'declaration'}, {'name': 'chocolat', 'quantity': 'un morceau', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'beignet', 'quantity': 'un', '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 '% beignet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Beignet - beignet - - - 1321 - - - KCA#969ed5bc8470cbb97c537010e48d4a30 Beignets Nature - beignet nature - - - 334 - - - KCA#b05e0274e2ac86f974b7b9db93a7c22f Beignets Soufflés - beignet souffle - - - 27 - - - KCA#c81919d20cdc95df876de618d8bfa7a8 Beignet de Viande - beignet de viande - volaille ou poisson, fait maison, cru - - 0 - - - CIQ#78b03a5ddcfe5c06f515e7bc338c7dc9 Beignet aux Fruits - beignet au fruit - - - 196 - - - KCA#53cb7be0b4c4c38a066ea833ef2ad9e4 Beignets de Pommes - beignet de pomme - - - 159 - - - KCA#f6b90cbaea7fa17af88681da6971df21 Beignet au Chocolat - beignet chocolat - - - 763 - - - KCA#9286ff02cf0dff9b66258cde86f940ad Beignet de Crevette - beignet de crevette - - - 689 - - - CIQ#552ced2661e401c403a26ae004706991 Beignets de Légumes - beignet de legume - - - 382 - - - KCA#0d033cbec2ae5373c521cb738741edb1 Beignets de Poissons - beignet de poisson - - - 197 - - - KCA#06a2ae4ae480475bfbab80ac58c5d6af Beignets de Salsifis - beignet de salsifi - - - 6 - - - KCA#ac71faa2e785631caa69766a0870ecc3 Beignets de Cervelle - beignet de cervelle - - - 3 - - - KCA#e5eee7df2b8ea82e78196e7fd1fc3d7d Beignets d'Aubergine - beignet aubergine - et purée de Légumes rôtis - - 43 - - - KCA#b399054ed31ec00b6ad5d0626d338adb Beignet Rond Moelleux - beignet rond moelleu - sans fourrage, saupoudré de sucre - - 0 - - - CIQ#59e7f39df06e648a67404370489d0dd0 Beignets de Courgettes - beignet de courgette - - - 147 - - - KCA#d826bc4b23eebc71f3a93e4321e1632f Beignet à la Confiture - beignet confiture - - - 75 - - - CIQ#0cd55080bb8acc3682b2ca6955d19cfc Beignets de Chou-fleur - beignet de chou fleur - - - 33 - - - KCA#f02e4455d16a31282d443d33bacac10e Beignets de Champignons - beignet de champignon - - - 6 - - - KCA#24d2481d199690ffe788f2da09ccbfa1 Beignets de Langoustines - beignet de langoustine - - - 7 - - - KCA#605b8c4c4de3aa740828fa3486da5159 Beignet Fourré aux Fruits - beignet fourre au fruit - - - 0 - - - CIQ#89ee1a3659346430d2de2545be697a17 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'chocolat', 'quantity': 'un morceau', '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 '% chocolat %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Chocolat - chocolat - en tablette, aliment moyen - - 0 - - - CIQ#ce78d6e2da46a5b975cfe742e849374c Chocolat au Lait - chocolat lait - - - 17100 - - - KCA#7a8849f6f600e38254b01cd2dcb2e2eb Chocolat à l'Eau - chocolat eau - - - 853 - - - KCA#31815811896ede162223a8bb59e9dc11 Chocolat au Lait - chocolat lait - tablette - - 0 - - - CIQ#0c766e8e90e26098e79738866cacd819 Chocolat au Lait - chocolat lait - aux Céréales croustillantes - - 2056 - - - KCA#f5d4edabe0f965da0f72bcc4c5dfb4c2 Chocolat Liégeois - chocolat liegeoi - - - 116 - - - KCA#3a4aab213a2571bd6870873db5260b98 Chocolat en Poudre - chocolat en poudre - - - 624 - - - KCA#cff72918732e66361d144848bd6d76cd Chocolat en Poudre - chocolat en poudre - et lait demi écrémé - - 9752 - - - KCA#04fe986b8c7c6d36b63cbd16492b7712 Chocolat Noir à Croquer - chocolat noir croquer - - - 18834 - - - KCA#9b500c08695e76b67b18e2fa08773333 Chocolat Noir Noisettes - chocolat noir noisette - - - 1875 - - - KCA#49fc5b19d990e357f20d1160e7d62f54 Chocolat Noir Dégustation - chocolat noir degustation - 70% Cacao - - 7359 - - - KCA#0268c0bb7380b1456496d668269e3ff4 Chocolat Noir Dégustation - chocolat noir degustation - 70% Cacao sans sucre ajouté - - 1221 - - - KCA#34b04a8e141eece15dc24eb779ae71ef Chocolat Noir aux Fruits Secs - chocolat noir au fruit sec - noisettes, amandes, raisins, praline, tablette - - 0 - - - CIQ#2ebd03c0dd9aab3bfb07ac8958b5239c Chocolat Noir à 70% Cacao Minimum - chocolat noir 70% cacao minimum - extra, dégustation, tablette - - 0 - - - CIQ#fece0a5a54ed327de64a617f20b78b6c Chocolat Noir sans Sucres Ajoutés - chocolat noir san sucre ajoute - avec édulcorants, en tablette - - 0 - - - CIQ#3cece312c84cb7ddd4bcc80edf31a153 Chocolat au Lait sans Sucres Ajoutés - chocolat lait san sucre ajoute - avec édulcorants, tablette - - 0 - - - CIQ#09bc5fef8a8b1113265bb2a0ddc95b2f Pain au Chocolat - pain chocolat - - - 8865 - - - CIQ#aa621dd97d922a7b28ca0ee09aed7449 Pain au Chocolat Feuilleté - pain chocolat feuillete - artisanal - - 0 - - - CIQ#bd38d8f7658a11f0a504009aaaa44ead Crème au Chocolat - creme chocolat - - - 210 - - - KCA#bcc59e88e7d8f6babecc21c8b7e622aa Sauce au Chocolat - sauce chocolat - - - 0 - - - CIQ#499da9cecdcb14e8c3264dd25833827c ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68bac54255e31/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Beignet', 'normName': ' beignet ', 'comment': '', 'normComment': '', 'rank': 1321, 'id': 'KCA#969ed5bc8470cbb97c537010e48d4a30', 'quantity': 'un', 'quantityLem': '1', 'pack': ['BEI.w55'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'BEI-100', 'posiNormName': 0}, {'name': 'Chocolat', 'normName': ' chocolat ', 'comment': 'en tablette, aliment moyen', 'normComment': ' en tablette aliment moyen ', 'rank': 0, 'id': 'CIQ#ce78d6e2da46a5b975cfe742e849374c', 'quantity': 'un morceau', 'quantityLem': '1 morceau', 'pack': ['CHO.w5'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.45988392829895} ---------------------------------------------------------------------------------- LLM CPU Time: 2.45988392829895