Input path: /home/debian/html/nutritwin/output_llm/68e391934d876/input.json Output path: /home/debian/html/nutritwin/output_llm/68e391934d876/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/68e391934d876/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": "tartine", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "brand": "Wasa", "timeOfTheDay": "snacking" }, { "name": "tomate", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" }, { "name": "concombre", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" }, { "name": "fromage", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "tartine", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "brand": "Wasa", "timeOfTheDay": "snacking" }, { "name": "tomate", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" }, { "name": "concombre", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" }, { "name": "fromage", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "tartine", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "brand": "Wasa", "timeOfTheDay": "snacking" }, { "name": "tomate", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" }, { "name": "concombre", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" }, { "name": "fromage", "quantity": "une tranche", "type": "food", "event": "unknownEvent", "timeOfTheDay": "snacking" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'tartine', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'brand': 'Wasa', 'timeOfTheDay': 'snacking'}, {'name': 'tomate', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'timeOfTheDay': 'snacking'}, {'name': 'concombre', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'timeOfTheDay': 'snacking'}, {'name': 'fromage', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'timeOfTheDay': 'snacking'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'tartine', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'brand': 'Wasa', 'timeOfTheDay': 'snacking'} 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 '% tartine %' AND V_NormTrademark LIKE '%wasa%' ------------- Found solution (max 20) -------------- Tartine Croustillante BIO - tartine croustillante bio - - Wasa - 0 - 7300400481816 - 7300400481816 - OFF#ad338380615d9abb91172442ab600646 Tartine Croustillante Fibres - tartine croustillante fibre - - Wasa - 0 - 7300400481588 - 7300400481588 - OFF#0312f465688ef04f577d6dd2591f4518 Tartine Croustillante Authentique - tartine croustillante authentique - - Wasa - 0 - 7300400481595 - 7300400481595 - OFF#1632c9a77e1e18b1a359ddb50111ba9f Tartine Croustillante au Sègle Fin - tartine croustillante segle fin - - Wasa - 0 - 8471781082615 - 8471781082615 - OFF#9307ab59925d8cdce8c044ff6b547763 Wasa Tartine Croustillante Complet - wasa tartine croustillante complet - - Wasa - 0 - 7300400482844 - 7300400482844 - OFF#e4d5b617bddc372c7f94f504055061e9 Wasa Tartine Croustillante Delicat Crisp Sesame et Sel de Mer - wasa tartine croustillante delicat crisp sesame sel de mer - - Wasa - 0 - 7300400482615 - 7300400482615 - OFF#d479b5633747ec781c3e73e88d3346fc ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'tomate', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'timeOfTheDay': 'snacking'} 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 '% tomate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Tomate - tomate - crue - - 50564 - - - CIQ#9019c33adc1aff1aeff07888f760e3dc Tomate - tomate - purée - - 0 - - - CIQ#98e08e3b00fecca745d7da29e1015a95 Tomate - tomate - pulpe - - 0 - - - CIQ#fd785fdebdb36567c615d2cf46456ffd Tomate - tomate - concentré - - 0 - - - CIQ#7020e6d5e5bd9e09aaa1661220ba09b7 Tomate - tomate - pelée, égouttée - - 0 - - - CIQ#e42ed02a1db9c324a72333e04d401dc1 Tomate - tomate - double concentré - - 0 - - - CIQ#316f9d6fdf5ec84b18998fae96416e09 Tomate - tomate - séchée, à l'huile - - 0 - - - CIQ#b7e1592c157fef2c1429cdc04e65f429 Tomate - tomate - rôtie/cuite au four - - 0 - - - CIQ#abc1ee10e1ef1b8d9ea01e5cf5081ac9 Tomate - tomate - pulpe et peau, rôtie/cuite au four - - 0 - - - CIQ#a670b9fa38af8c6557b321a08d7ab367 Tomate Ronde - tomate ronde - crue - - 0 - - - CIQ#684dc9134dc864e3c83f5330fa9965d4 Tomate Farcie - tomate farcie - - - 1889 - - - CIQ#6662d127dcc7f87a176e7cda4540b6d5 Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0 Tomate Grappe - tomate grappe - crue - - 0 - - - CIQ#2bdccc054e39de9382dcb2ff97b1204d Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216 Tomate Séchée - tomate sechee - tomate séchée - - 0 - - - KCA#1dfa8e1ad113a5175e6a3ba4bee46416 Tomates au Four - tomate four - au four - - 0 - - - KCA#7bd06a9534bdcb97e7af0143ac0124d5 Tomates Farcies - tomate farcie - tomates farcies - - 0 - - - KCA#6e01a7596f6a74b9bca3e51ca2721e81 Tomates Tartares - tomate tartare - tomates tartares - - 0 - - - KCA#e15190c59aa8508125d81de65be88670 Tomate Concentrée - tomate concentree - tomate concentrée - - 0 - - - KCA#22854ad0ad81beeccc0841c1f0c5d66c Tomates Provençales - tomate provencale - tomates provençales - - 0 - - - KCA#799358a4b450be03bfd4014d3908c6dc ---------------------------------------------------- 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 ----------- result to be analyzed ----------- {'name': 'concombre', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'timeOfTheDay': 'snacking'} 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 '% concombre %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Concombre - concombre - pulpe, cru - - 16258 - - - CIQ#e0ae4bb0663d85c9fd95184b188c1bbe Concombre - concombre - pulpe et peau, cru - - 0 - - - CIQ#e49bcc1f44ade5c2b5ce20434d91194f Concombre au Beurre - concombre beurre - - - 13 - - - KCA#6e97ed5874d2c77e1520d9fb42e8d62a Concombre à la Crème - concombre creme - - - 2209 - - - KCA#9c5af1b10d7e724e7715b8e86365ae35 Maki Concombre - maki concombre - - - 238 - - - KCA#bf5560ccb0565182b8f64b02d6787fc3 Potage aux Concombres - potage au concombre - - - 5 - - - KCA#ef07cd0a66b8834c1e3e4d4a51ed21d2 Tomates aux Concombres - tomate au concombre - aux concombres - - 0 - - - KCA#e68cba16791b098cb72c9fb4d0d49592 ---------------------------------------------------- ERROR: no solution for picto in the first solution ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'fromage', 'quantity': 'une tranche', 'type': 'food', 'event': 'unknownEvent', 'timeOfTheDay': 'snacking'} 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 '% fromage %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Fromage - fromage - - - 23096 - - - KCA#e2646df35885ba5fc75c406a551c9fbc Fromage 45% MG - fromage 45% mg - - - 6874 - - - KCA#14ed2b0745972d44df97c5d52a44ac69 Fromage 20% MG - fromage 20% mg - - - 1124 - - - KCA#e32d6c98bf1d5f0a3c853a8f6bb7c3b3 Fromage 70% MG - fromage 70% mg - - - 494 - - - KCA#351b50fec02ae7c43d964985ac9086c6 Fromage de Tête - fromage de tete - - - 258 - - - CIQ#a80997979cdf84066ed5ed98f0291aef Fromage de Chèvre - fromage de chevre - - - 4537 - - - KCA#87a40b8f006dcb11aafd4e97014ed3f4 Fromage de Brebis - fromage de brebi - pâte pressée - - 0 - - - KCA#58787aec327646598cc7785b49eea77a Fromage de Brebis - fromage de brebi - pâte molle à croûte fleurie - - 0 - - - KCA#a463c1fc485a4f9d296ce6817ce2c361 Fromage de Chèvre - fromage de chevre - lactique affiné, au lait cru type Crottin - - 250 - - - KCA#2c01ba493c1fac82cabb393f8f3648a7 Fromage Frais 0% MG - fromage frai 0% mg - - - 519 - - - KCA#88f1992eded597fa4d19465f74683774 Fromage Fondu 25% MG - fromage fondu 25% mg - - - 3246 - - - KCA#d149670a9548a1b193a2c41eca41b75f Fromage Frais 30% MG - fromage frai 30% mg - - - 145 - - - KCA#7925728898a08e85f13745b60bc71320 Fromage Fondu 45% MG - fromage fondu 45% mg - - - 95 - - - KCA#6d8e1e183c61d211654c306cf3835256 Fromage Frais 20% MG - fromage frai 20% mg - - - 81 - - - KCA#0c277d2e26315ef0b610a1ac6f0b2c8f Fromage Fondu 70% MG - fromage fondu 70% mg - - - 55 - - - KCA#4310db392dfdcff70718326fee922034 Fromage Fondu 65% MG - fromage fondu 65% mg - - - 52 - - - KCA#df8a055eb661bce01be58e63581e3ace Fromage Blanc Nature - fromage blanc nature - 0% MG - - 24178 - - - CIQ#36c17f9437be97fba469ea7cd5441d75 Fromage Blanc Nature - fromage blanc nature - 3% MG environ - - 10606 - - - CIQ#4a1c07f162d63ff83801c1fb767aafcf Fromage Blanc Nature - fromage blanc nature - gourmand, 8% MG environ - - 0 - - - CIQ#4ec95c0d5d5444677063a6486af1e1c9 Fromage Fondu aux Noix - fromage fondu au noix - - - 23 - - - KCA#849bff96c14abb755613ff11508fe7c9 ---------------------------------------------------- ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68e391934d876/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Tartine Croustillante BIO', 'normName': ' tartine croustillante bio ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#ad338380615d9abb91172442ab600646', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['PO3.w7'], 'type': 'food', 'gtin': '7300400481816', 'gtinRef': '7300400481816', 'brand': 'Wasa', 'time': 'snacking', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}, {'name': 'Tomate', 'normName': ' tomate ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 50564, 'id': 'CIQ#9019c33adc1aff1aeff07888f760e3dc', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['TOM.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'snacking', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}, {'name': 'Concombre', 'normName': ' concombre ', 'comment': 'pulpe, cru', 'normComment': ' pulpe cru ', 'rank': 16258, 'id': 'CIQ#e0ae4bb0663d85c9fd95184b188c1bbe', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['CO4.w300'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'snacking', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}, {'name': 'Fromage', 'normName': ' fromage ', 'comment': '', 'normComment': '', 'rank': 23096, 'id': 'KCA#e2646df35885ba5fc75c406a551c9fbc', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['CAM.w20', 'GRU.w20', 'MIM.w20', 'ROC.w20', 'CH2.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'snacking', 'event': 'unknownEvent', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.7379913330078125} ---------------------------------------------------------------------------------- LLM CPU Time: 4.7379913330078125