Input path: /home/debian/html/nutritwin/output_llm/67f6b9df9beba/input.json Output path: /home/debian/html/nutritwin/output_llm/67f6b9df9beba/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/67f6b9df9beba/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": "steak", "quantity": "une pièce", "cookingMethod": "grillé", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "steak", "quantity": "une pièce", "cookingMethod": "grillé", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "steak", "quantity": "une pi\u00e8ce", "cookingMethod": "grill\u00e9", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'steak', 'quantity': 'une pièce', 'cookingMethod': 'grillé', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'steak', 'quantity': 'une pièce', 'cookingMethod': 'grillé', '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 '% steak %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Steak Haché - steak hache - steak haché - - 0 - - - KCA#959303ed3534b9c5c79e9cca14656f10 Steak Frites - steak frite - steak frites - - 0 - - - KCA#7b6b2abd661e1054cfba0cf998b2743f Steak Tartare - steak tartare - steak tartare - - 0 - - - KCA#29aaa8b84a31087d75f26561ccdc14d4 Steaks au Gril - steak gril - au gril - - 0 - - - KCA#3b554c54a99250dd14e7f7beb6840ea2 Steaks au Pâté - steak pate - au pâté - - 0 - - - KCA#e67f6278eeeb196770fd211ba8e39a34 Steak de Cheval - steak de cheval - de cheval - - 0 - - - KCA#fd10585bb79b2d80eefb0c7d44e76ac7 Steaks Surprise - steak surprise - steaks surprise - - 0 - - - KCA#f17c472f0893b03b661e25e337999a84 Steaks au Poivre - steak poivre - au poivre - - 0 - - - KCA#a76b8f4a99aaed361fde5a9105f170f5 Steaks à la Poêle - steak poele - la poêle - - 0 - - - KCA#baa104693789658a9dc1a26180899e95 Steaks au Raifort - steak raifort - au raifort - - 0 - - - KCA#5d6b0f4fe3d22c1d84512f5ec7375b57 Steaks au Barbecue - steak barbecue - au barbecue - - 0 - - - KCA#c86a0ddc53b32e8603d830019d5f0567 Steaks au Vermouth - steak vermouth - au vermouth - - 0 - - - KCA#1c9b93640859643010b85eb2d2f5734b Steak Haché de Veau - steak hache de veau - de veau - - 0 - - - KCA#b2ad2dc15a31de3a5e4c82f59493b374 Steak Dans la Poire - steak dan poire - la poire - - 0 - - - KCA#9469b83779e8c6f8243a8fc4d7ec1033 Steaks Sauce Persil - steak sauce persil - sauce persil - - 0 - - - KCA#6524592e1b23ceffe76c9e0ff784370d Steaks Sautés au Vin - steak saute vin - au vin - - 0 - - - KCA#3830e269f3a7cb20f83532fcaf5e9610 Steak Haché Pur Boeuf - steak hache pur boeuf - cru 5% MG - - 503 - - - KCA#938fbe35bce49b6b3be37bd88dd8dbda Steak Haché Pur Boeuf - steak hache pur boeuf - cru 15% MG - - 976 - - - KCA#c535c91b3321042c8f4db636820e9bec Steak Haché Pur Boeuf - steak hache pur boeuf - cuit 5% MG - - 346 - - - KCA#204bae7f16652a41d4ce4eb14e3b7c2a Steak Haché Pur Boeuf - steak hache pur boeuf - cru 10% MG - - 35 - - - KCA#76f5adade8613cd175ce7fe7a4571b4e ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/67f6b9df9beba/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Steak Haché', 'normName': ' steak hache ', 'comment': 'steak haché', 'normComment': ' steak hache ', 'rank': 0, 'id': 'KCA#959303ed3534b9c5c79e9cca14656f10', 'quantity': 'une pièce', 'quantityLem': '1 piece', 'pack': ['STH.w100', 'ST2.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.8525161743164062} ---------------------------------------------------------------------------------- LLM CPU Time: 2.8525161743164062