Input path: /home/debian/html/nutritwin/output_llm/68a6f4c7ebed3/input.json Output path: /home/debian/html/nutritwin/output_llm/68a6f4c7ebed3/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/68a6f4c7ebed3/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": "tzatziki", "quantity": "une portion", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "tzatziki", "quantity": "une portion", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "tzatziki", "quantity": "une portion", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'tzatziki', 'quantity': 'une portion', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'tzatziki', 'quantity': 'une portion', '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 '% tzatziki %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) --> CPU time in DB: 0.1398 seconds Word: Tzatziki - dist: 0.3458651006221771 - row: 3798 Word: Tzarziki - dist: 0.42575210332870483 - row: 46592 Word: Tzatziki à la Grecque - dist: 0.481531023979187 - row: 45901 Word: Tzatziki au Yaourt Grec - dist: 0.506267786026001 - row: 34450 Word: Tzatziki au Yaourt à la Grecque - dist: 0.5121434330940247 - row: 23482 Found embedding word: Tzatziki 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 = 'Tzatziki' ------------- Found solution (max 20) -------------- Tzatziki - tzatziki - - Lidl - 0 - 20379070 - 20379070 - OFF#f777fc467f0150ea99383eecc31f22f5 Tzatziki - tzatziki - - Labeyrie - 0 - 3033610090328 - 3033610090328 - OFF#604e96398ae8f198a92e277a33cb70b9 Tzatziki - tzatziki - - Carrefour - 0 - 3245390158468 - 3245390158468 - OFF#58a4e777d8e231f2d7717ab8dc6f390b Tzatziki - tzatziki - - Cora - 0 - 3257981175624 - 3257981175624 - OFF#86fd14ec830b616655863704e539d44d Tzatziki - tzatziki - - Belle France - 0 - 3258563480068 - 3258563480068 - OFF#f7aa99068312e9ab1c8e03e29339ab1c Tzatziki - tzatziki - - Franprix - 0 - 3263856482414 - 3263856482414 - OFF#64093eae99b2e8dab044d63ffec1643c Tzatziki - tzatziki - - Leader Price - 0 - 3263859731816 - 3263859731816 - OFF#4425a551986c33f6a784adadf64554b3 Tzatziki - tzatziki - - Picard - 0 - 3270160729173 - 3270160729173 - OFF#d690e6f9a4a88e5d207b05c34f323c45 Tzatziki - tzatziki - - Agrial - 0 - 33333366 - 33333366 - OFF#cdaddef473360f5e7ff8106be34a60a5 Tzatziki - tzatziki - - Monoprix - 0 - 3350030167493 - 3350030167493 - OFF#0433ecd3dee1439ffb92a3f9508481f1 Tzatziki - tzatziki - - Rochambeau - 0 - 3439496601489 - 3439496601489 - OFF#c16b34f40cf3097eeaf2bff556735a40 Tzatziki - tzatziki - - Auchan - 0 - 3596710401208 - 3596710401208 - OFF#67f939fee4518ce0694f940a54203745 Tzatziki - tzatziki - - Delhaize - 0 - 5400112455104 - 5400112455104 - OFF#f05accd1f418c74d867e1c4d8a114f5a Tzatziki - tzatziki - - Spar - 0 - 5400210531694 - 5400210531694 - OFF#b0a77378352a24092875c8f33d2be4a4 Tzatziki - tzatziki - - Labeyrie - 0 - 3292070101894 - 3033610090328 - OFF#1336bdcc366615f70e0428b6525878a7 Tzatziki - tzatziki - - Carrefour - 0 - 5400101077508 - 3245390158468 - OFF#76aada57fee08752ee5f0d243c0f7fb3 Tzatziki - tzatziki - - Cora - 0 - 3257981665736 - 3257981175624 - OFF#e39fe3131f1ec6122f28a95412c9ee13 Tzatziki - tzatziki - - Monoprix - 0 - 3350030211288 - 3350030167493 - OFF#367ccf26c80c1d7aa9b54327382c34dc Tzatziki - tzatziki - - Auchan - 0 - 3596710420339 - 3596710401208 - OFF#85444276ee05dba25146015f3d250bcf Tzatziki - tzatziki - - Delhaize - 0 - 5400119578165 - 5400112455104 - OFF#f829b03ac4f1b1c076cdb590a83dd3db ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68a6f4c7ebed3/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Tzatziki', 'normName': ' tzatziki ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#f777fc467f0150ea99383eecc31f22f5', 'quantity': 'une portion', 'quantityLem': '1 portion', 'pack': ['CSL.w18', 'CCL.w5'], 'type': 'food', 'gtin': '20379070', 'gtinRef': '20379070', 'brand': 'Lidl', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 5.662516355514526} ---------------------------------------------------------------------------------- LLM CPU Time: 5.662516355514526