Input path: /home/debian/html/nutritwin/output_llm/678806bbae4eb/input.json Output path: /home/debian/html/nutritwin/output_llm/678806bbae4eb/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/678806bbae4eb/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": "biscuit japonais", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de blé", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de seigle", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine d'orge", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de malt d'orge", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "graines de sésame", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "margarine", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "huile de palme", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "huile de tournesol", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "sucre", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "lait écrémé en poudre", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "levure", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "sel", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "émulsifiant", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "arôme", "quantity": "un", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "biscuit japonais", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de blé", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de seigle", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine d'orge", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de malt d'orge", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "graines de sésame", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "margarine", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "huile de palme", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "huile de tournesol", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "sucre", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "lait écrémé en poudre", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "levure", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "sel", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "émulsifiant", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "arôme", "quantity": "un", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "biscuit japonais", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de bl\u00e9", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de seigle", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine d'orge", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "farine de malt d'orge", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "graines de s\u00e9same", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "margarine", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "huile de palme", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "huile de tournesol", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "sucre", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "lait \u00e9cr\u00e9m\u00e9 en poudre", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "levure", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "sel", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "\u00e9mulsifiant", "quantity": "un", "type": "food", "event": "unknownEvent" }, { "name": "ar\u00f4me", "quantity": "un", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'biscuit japonais', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'farine de blé', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'farine de seigle', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': "farine d'orge", 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': "farine de malt d'orge", 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'graines de sésame', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'margarine', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'huile de palme', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'huile de tournesol', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'sucre', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'lait écrémé en poudre', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'levure', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'sel', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'émulsifiant', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'arôme', 'quantity': 'un', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'biscuit japonais', 'quantity': 'un', '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 '% biscuit japonai %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1183 seconds Word: Biscuits Japonais au Chocolat Suisse - dist: 0.5459150671958923 - row: 31132 Word: Mélange de Biscuits Recette Japonaise - dist: 0.5791189670562744 - row: 22219 Word: Biscuits Thé - dist: 0.5928213596343994 - row: 14424 Word: Biscuit - dist: 0.5929007530212402 - row: 57664 Word: Biscuit Petit Dejeuner - dist: 0.5982630252838135 - row: 33984 Found embedding word: Biscuits Japonais au Chocolat Suisse 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 = 'Biscuits Japonais au Chocolat Suisse' ------------- Found solution (max 20) -------------- Biscuits Japonais au Chocolat Suisse - biscuit japonai chocolat suisse - - Cora - 0 - 3257980112354 - 3257980112354 - OFF#4a8786d40e855db1d72f02331eb2abc1 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'farine de blé', 'quantity': 'un', '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 '% farine de ble %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1195 seconds Word: Farine de Blé - dist: 0.34641849994659424 - row: 7524 Word: Farine de Ble - dist: 0.366567999124527 - row: 56479 Word: Farine de Blé BIO - dist: 0.44336289167404175 - row: 33206 Word: Farine de Blé Biologique - dist: 0.4582809507846832 - row: 21509 Word: Farine de Blé Pâtissière - dist: 0.45847803354263306 - row: 12370 Found embedding word: Farine de Blé 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 = 'Farine de Blé' ------------- Found solution (max 20) -------------- Farine de Blé - farine de ble - - Aldi - 0 - 13095192 - 13095192 - OFF#477bcbbdb3cc85abc89c53681b5888f6 Farine de Blé - farine de ble - - Casino - 0 - 3222471054017 - 3222471054017 - OFF#49f49e7a5ad0f225104929b0890f5d74 Farine de Blé - farine de ble - - Les Mousquetaires - 0 - 3250391306114 - 3250391306114 - OFF#72c677cc2161d484827c9a3b67f92e10 Farine de Blé - farine de ble - - Croix de Savoie - 0 - 3252971500318 - 3252971500318 - OFF#42eef64a5c5d442f7d70f2669d121aa4 Farine de Blé - farine de ble - - Cora - 0 - 3257980106452 - 3257980106452 - OFF#72755a9fd1f3b49c6d7a4f7b197ecce2 Farine de Blé - farine de ble - - Belle France - 0 - 3258561100197 - 3258561100197 - OFF#83fd424f0f2f8cbaa06123afc92c6b62 Farine de Blé - farine de ble - - Leader Price - 0 - 3263850750311 - 3263850750311 - OFF#b63ffc215f31a22443a9f343219c0ec9 Farine de Blé - farine de ble - - Monoprix - 0 - 3350033716681 - 3350033716681 - OFF#97c76d13dcdefc8cde5489fc0453397c Farine de Blé - farine de ble - - Rochambeau - 0 - 3439497020234 - 3439497020234 - OFF#3c5c52dedc994dcfeb06aa22c60c5a51 Farine de Blé - farine de ble - - Bio Village - 0 - 3564707000055 - 3564707000055 - OFF#92054da6c40d65722fd6b3f15a223a36 Farine de Blé - farine de ble - - Dia - 0 - 8480017333452 - 8480017333452 - OFF#ebbbe49f89cfda630018811818ce6839 Farine de Blé - farine de ble - - Leader Price - 0 - 3263850752063 - 3263850750311 - OFF#63d1dbcc899b753d5f1e05b0f7aac97e Farine de Blé - farine de ble - - Monoprix - 0 - 3350033716698 - 3350033716681 - OFF#96d64aa31a0e0447ed4d574bc3a29480 Farine de Blé - farine de ble - - Bio Village - 0 - 3564707444415 - 3564707000055 - OFF#92d348afb1825a8b29d9ae92009c2018 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'farine de seigle', 'quantity': 'un', '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 '% farine de seigle %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1106 seconds Word: Fines Tartines Farine de Seigle - dist: 0.5007860064506531 - row: 15501 Word: Farine de Seigle T170 - dist: 0.506962239742279 - row: 1181 Word: Farine de Seigle T130 - dist: 0.5168439745903015 - row: 1180 Word: Farine de Seigle T85 - dist: 0.5266708731651306 - row: 1182 Word: Farine de Seigle Type 130 - dist: 0.5415964126586914 - row: 7669 Found embedding word: Fines Tartines Farine de Seigle 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 = 'Fines Tartines Farine de Seigle' ------------- Found solution (max 20) -------------- Fines Tartines Farine de Seigle - fine tartine farine de seigle - - Limagrain - 0 - 3029330004240 - 3029330004240 - OFF#29260f3498fd01916721e4b7f677cbdf ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': "farine d'orge", 'quantity': 'un', '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 '% farine orge %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1123 seconds Word: Farine d'Orge - dist: 0.4021439850330353 - row: 4184 Word: Farine d'Épeautre - dist: 0.5793635845184326 - row: 1184 Word: Farine de Froment - dist: 0.5880574584007263 - row: 9344 Word: Farine - dist: 0.5978794097900391 - row: 40573 Word: Farine de Ble - dist: 0.6046411991119385 - row: 56479 Found embedding word: Farine d'Orge Traceback (most recent call last): File "/home/debian/html/nutritwin/resources/KCALLMMainService.py", line 71, in omess = KCALLMMain.runEvent(event) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/debian/html/nutritwin/resources/KCALLMMain.py", line 132, in runEvent resp = KCALLMMainSpeechToData.execute(speech, imagePath, image64, comment, appId, device, version, age, gender, longitude, latitude, test) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/debian/html/nutritwin/resources/KCALLMMainSpeechToData.py", line 39, in execute omess = executeLLMSingle(text, imagePath, image64, comment, model) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/debian/html/nutritwin/resources/KCALLMMainSpeechToData.py", line 195, in executeLLMSingle sols = KCALLMNutritionUtilities.getBestSolutions(jresult["response"], dbPath, dbEmbeddingPath, jVoca) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/debian/html/nutritwin/resources/KCALLMNutritionUtilities.py", line 395, in getBestSolutions dbCursor.execute(q) sqlite3.OperationalError: near "Orge": syntax error