Input path: /home/debian/html/nutritwin/output_llm/67f8ea7e8ac4f/input.json Output path: /home/debian/html/nutritwin/output_llm/67f8ea7e8ac4f/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/67f8ea7e8ac4f/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": "saucisses", "quantity": "deux", "cookingMethod": "grill\u00e9", "type": "food", "event": "unknownEvent" }, { "name": "pain", "quantity": "deux tranches", "type": "food", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "saucisses", "quantity": "deux", "cookingMethod": "grill\u00e9", "type": "food", "event": "unknownEvent" }, { "name": "pain", "quantity": "deux tranches", "type": "food", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "saucisses", "quantity": "deux", "cookingMethod": "grill\u00e9", "type": "food", "event": "unknownEvent" }, { "name": "pain", "quantity": "deux tranches", "type": "food", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'saucisses', 'quantity': 'deux', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'unknownEvent'}, {'name': 'pain', 'quantity': 'deux tranches', 'type': 'food', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'saucisses', 'quantity': 'deux', 'cookingMethod': 'grillé', '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 '% saucisse %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Saucisse - saucisse - - - 5293 - - - CIQ#1d6fca3ad256e47613baef26ca804113 Saucisse Sèche - saucisse seche - - - 996 - - - CIQ#ff5b53b1d7401bcb0f1767ebad5884c5 Saucisse de Foie - saucisse de foie - - - 0 - - - CIQ#fdbb4619159dfb2b7497eb11b7b1bc07 Saucisse Cocktail - saucisse cocktail - - - 457 - - - CIQ#1f2dd53eeef165fbe146cae6f64c7d48 Saucisse de Morteau - saucisse de morteau - - - 0 - - - CIQ#7bf2a58a05f47ebef09207370a4c220e Saucisse de Morteau - saucisse de morteau - bouillie/cuite à l'eau - - 0 - - - CIQ#ef6d6229bdbdd4c7ef4f40857308cdb1 Saucisse de Toulouse - saucisse de toulouse - - - 5 - - - CIQ#db76b08803ed9b636256fe06b83db16f Saucisse de Volaille - saucisse de volaille - type Knack - - 0 - - - CIQ#3e439e37fd7f3cb508c297dc766a2468 Saucisse de Volaille - saucisse de volaille - façon charcutière - - 0 - - - CIQ#148b1f1e85b0e772bda05ba43cbb34f3 Saucisse de Francfort - saucisse de francfort - - - 711 - - - CIQ#fea67e92f5cee14b82788be80ded9b48 Saucisse de Montbéliard - saucisse de montbeliard - - - 715 - - - CIQ#4ab35ae577ff24bba7cbad699f27311d Saucisse Végétale au Tofu - saucisse vegetale tofu - convient aux véganes ou végétaliens - - 0 - - - CIQ#b638034bc3f4db2ab1ff3dd1bece0c74 Saucisse de Jambon Pur Porc - saucisse de jambon pur porc - - - 0 - - - CIQ#3f539155590566517c5e22a715e8d165 Saucisse de Strasbourg ou Knack - saucisse de strasbourg ou knack - - - 0 - - - CIQ#d201e797d80b01fec9f8021460223625 Saucisse Végétale au Blé ou Seitan - saucisse vegetale ble ou seitan - - - 0 - - - CIQ#139ac004a11bf16cc7751c62dae89cf8 Mini Saucisse Sèche - mini saucisse seche - - - 36 - - - KCA#d802ec336d104973b80eb344e784850b Chair à Saucisse - chair saucisse - - - 268 - - - KCA#509bab96cc365a75bc651ba14e309ed0 Potée de Saucisses - potee de saucisse - - - 35 - - - KCA#0de82cd4be6c36ec437c6330c7e8efac Petit Salé ou Saucisse aux Lentilles - petit sale ou saucisse au lentille - - - 0 - - - CIQ#7162dfd6184e6d0fd74dfcb9e12ce604 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'pain', 'quantity': 'deux tranches', '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 '% pain %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pain - pain - - - 261532 - - - CIQ#78316c0b820d8f80c640c9d0bc741c50 Pain - pain - sans gluten - - 29 - - - CIQ#9d6a800b4a9dbe9504fb68b26057ad7b Pain - pain - baguette, courante - - 0 - - - CIQ#c92016dc98d790db0bc7c949d601f5c2 Pain - pain - baguette ou boule, au levain - - 0 - - - CIQ#4b65f0348cbdd1f29daadea789369616 Pain - pain - baguette ou boule, de campagne - - 0 - - - CIQ#665da1982ec8e7e74501d57dc7e111b8 Pain - pain - baguette, de tradition française - - 0 - - - CIQ#e5e8a2a86b1a95d66e26a64c18c0b520 Pain - pain - baguette ou boule, bis, à la farine T80 ou T110 - - 0 - - - CIQ#233b9a74f0cc423be7b3fe6fa040567b Pain - pain - baguette ou boule, bio, à la farine T55 jusqu'à T110 - - 0 - - - CIQ#91fae3ae1c9b87dd0039d7caa03a7d72 Pain - pain - baguette ou boule, aux céréales et graines, artisanal - - 0 - - - CIQ#5fed24621fe6dde995398f020bf84d7d Pain Bis - pain bi - - - 77 - - - KCA#0d04d397f5620b8618c8972be2ce29a7 Pain Pita - pain pita - - - 951 - - - KCA#0a6b29619370c1e5c09e5ec16992feed Pain Azyme - pain azyme - - - 1038 - - - KCA#90d292248257ebd4aba91b7e0f6f67d7 Pain Perdu - pain perdu - - - 783 - - - CIQ#67427fe34e70bfc99fd131b16908c1ee Pain de Son - pain de son - - - 302 - - - KCA#3ccdb3c87985b4f83e1354ee3a2cebfd Pain au Son - pain son - - - 0 - - - CIQ#825cc00fe7ac81ed34e142fde0f6ddf4 Pain de Mie - pain de mie - au son - - 0 - - - CIQ#1f8d06921f1e892824b0f8cef870e840 Pain de Mie - pain de mie - complet - - 7211 - - - CIQ#d93405497d2314d29dbd770c5b956eeb Pain de Mie - pain de mie - courant - - 0 - - - CIQ#667832b5357e637fdb28760b7d6c2d8d Pain Grillé - pain grille - domestique - - 0 - - - CIQ#f4bc68c618fb825e526db4034e88b66a Pain de Mie - pain de mie - sans croûte - - 32 - - - CIQ#be3f663945b51703d39413cadc3becab ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67f8ea7e8ac4f/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Saucisse', 'normName': ' saucisse ', 'comment': '', 'normComment': '', 'rank': 5293, 'id': 'CIQ#1d6fca3ad256e47613baef26ca804113', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['SA1.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': 'SA1-200', 'posiNormName': 0}, {'name': 'Pain', 'normName': ' pain ', 'comment': '', 'normComment': '', 'rank': 261532, 'id': 'CIQ#78316c0b820d8f80c640c9d0bc741c50', 'quantity': 'deux tranches', 'quantityLem': '2 tranche', 'pack': ['PAI.w60', 'BAG.w60', 'TPA.w30'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknownEvent', 'serving': 'TPA-200', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.400309801101685} ---------------------------------------------------------------------------------- LLM CPU Time: 4.400309801101685