Input path: /home/debian/html/nutritwin/output_llm/68fcbff832c72/input.json Output path: /home/debian/html/nutritwin/output_llm/68fcbff832c72/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/68fcbff832c72/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": "betteraves rouges", "quantity": "une portion", "cookingMethod": "assaisonn\u000ees", "type": "food", "brand": "Saint Eloi", "event": "unknownEvent" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "betteraves rouges", "quantity": "une portion", "cookingMethod": "assaisonn\u000ees", "type": "food", "brand": "Saint Eloi", "event": "unknownEvent" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "betteraves rouges", "quantity": "une portion", "cookingMethod": "assaisonn\u000ees", "type": "food", "brand": "Saint Eloi", "event": "unknownEvent" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'betteraves rouges', 'quantity': 'une portion', 'cookingMethod': 'assaisonn\x0ees', 'type': 'food', 'brand': 'Saint Eloi', 'event': 'unknownEvent'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'betteraves rouges', 'quantity': 'une portion', 'cookingMethod': 'assaisonn\x0ees', 'type': 'food', 'brand': 'Saint Eloi', '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 '% betterave rouge %' AND V_NormTrademark LIKE '%saint eloi%' --> CPU time in DB: 0.1275 seconds Word: Betteraves Rouges - dist: 0.3584616184234619 - row: 7431 Word: Betterave Rouge - dist: 0.44342976808547974 - row: 4016 Word: Betteraves Rouges BIO - dist: 0.48453959822654724 - row: 47112 Word: Betteraves Rouges Cuites - dist: 0.4870629906654358 - row: 52259 Word: Betteraves Rouges Entières - dist: 0.4923195540904999 - row: 31031 Found embedding word: Betteraves Rouges 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 = 'Betteraves Rouges' ------------- Found solution (max 20) -------------- Betteraves Rouges - betterave rouge - - D'Aucy - 0 - 3017800231777 - 3017800231777 - OFF#3d3bac3046afd20efbad3556ac49c146 Betteraves Rouges - betterave rouge - - Les Mousquetaires - 0 - 3250392356590 - 3250392356590 - OFF#f3b9f9a28fb402fdf5d453e68d486476 Betteraves Rouges - betterave rouge - - Cora - 0 - 3257986147602 - 3257986147602 - OFF#9d1bd26e6b3c8a003f1a728cd5caddb4 Betteraves Rouges - betterave rouge - - Belle France - 0 - 3258561469881 - 3258561469881 - OFF#ef9ab625aacd9715e80d094a3e63cc17 Betteraves Rouges - betterave rouge - - Franprix - 0 - 3263856485118 - 3263856485118 - OFF#31883ec761bcac15542c10f2263e6a71 Betteraves Rouges - betterave rouge - - Leader Price - 0 - 3263859476311 - 3263859476311 - OFF#08f65430dfd468eca8a82204c46ca940 Betteraves Rouges - betterave rouge - - Rochambeau - 0 - 3439495127485 - 3439495127485 - OFF#445f9dac9a6bb06c44e04e9c87b0f44a Betteraves Rouges - betterave rouge - - Auchan - 0 - 3596710269143 - 3596710269143 - OFF#ae28b6b16f5ac8994f37a79a1438af89 Betteraves Rouges - betterave rouge - - U - 0 - 77674562 - 3256220889803 - OFF#0672a44b004d6e9573d6bdc925cfa41b Betteraves Rouges - betterave rouge - - Cora - 0 - 5400134410600 - 3257986147602 - OFF#6b2c582a0b1a0874346b3aa54f2aff1b Betteraves Rouges - betterave rouge - - Rochambeau - 0 - 3439496603711 - 3439495127485 - OFF#29f57c03f74799e72a3ec26b3576dfa9 Betteraves Rouges - betterave rouge - - Carrefour - 0 - 3560071457273 - 3560070872961 - OFF#a03cd7de658e5462eeb7dcec40e555d9 Betteraves Rouges - betterave rouge - - Auchan - 0 - 35967103397723 - 3596710269143 - OFF#3858cb3d4338894a35ec3bdf06eda410 Betteraves Rouges - betterave rouge - - Auchan - 0 - 3596710446926 - 3596710269143 - OFF#d32f4af4b197a77fd0c2aafc76beb382 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68fcbff832c72/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Betteraves Rouges', 'normName': ' betterave rouge ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#f3b9f9a28fb402fdf5d453e68d486476', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['BOS.w320'], 'type': 'food', 'gtin': '3250392356590', 'gtinRef': '3250392356590', 'brand': 'Les Mousquetaires', 'time': '', 'event': 'unknownEvent', 'serving': 'BOS-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 5.114868640899658} ---------------------------------------------------------------------------------- LLM CPU Time: 5.114868640899658