Input path: /home/debian/html/nutritwin/output_llm/68160c9ae7b70/input.json Output path: /home/debian/html/nutritwin/output_llm/68160c9ae7b70/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/68160c9ae7b70/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": "saucisse", "quantity": "une", "cookingMethod": "grill\u00e9e", "type": "food", "event": "declaration" }, { "name": "laitue", "quantity": "quelques feuilles", "type": "food", "event": "declaration" }, { "name": "fromage", "quantity": "une tranche", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "saucisse", "quantity": "une", "cookingMethod": "grill\u00e9e", "type": "food", "event": "declaration" }, { "name": "laitue", "quantity": "quelques feuilles", "type": "food", "event": "declaration" }, { "name": "fromage", "quantity": "une tranche", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "saucisse", "quantity": "une", "cookingMethod": "grill\u00e9e", "type": "food", "event": "declaration" }, { "name": "laitue", "quantity": "quelques feuilles", "type": "food", "event": "declaration" }, { "name": "fromage", "quantity": "une tranche", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'saucisse', 'quantity': 'une', 'cookingMethod': 'grillée', 'type': 'food', 'event': 'declaration'}, {'name': 'laitue', 'quantity': 'quelques feuilles', 'type': 'food', 'event': 'declaration'}, {'name': 'fromage', 'quantity': 'une tranche', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'saucisse', 'quantity': 'une', 'cookingMethod': 'grillée', '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 '% 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': 'laitue', 'quantity': 'quelques feuilles', '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 '% laitue %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Laitue Cuite - laitue cuite - - - 30 - - - KCA#3fc231d5d13ea9ea9e5b066d6f26bdc0 Laitue de Mer - laitue de mer - Ulva sp., séchée ou déshydratée - - 0 - - - CIQ#c959afcc0aa071ec5d9399df439e0fad Laitues Farcies - laitue farcie - - - 3 - - - KCA#7163344a51e0604fbb5c947f09f514e1 Laitue Romaine Crue - laitue romaine crue - - - 0 - - - KCA#af01736b89483da6245a3e9975201caf Potage à la Laitue - potage laitue - - - 5 - - - KCA#6706b7ac4ed7cda61eb5dd4e9bd60f2b ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'fromage', 'quantity': 'une tranche', '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 '% 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/68160c9ae7b70/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Saucisse', 'normName': ' saucisse ', 'comment': '', 'normComment': '', 'rank': 5293, 'id': 'CIQ#1d6fca3ad256e47613baef26ca804113', 'quantity': 'une', 'quantityLem': '1', 'pack': ['SA1.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'SA1-100', 'posiNormName': 0}, {'name': 'Laitue Cuite', 'normName': ' laitue cuite ', 'comment': '', 'normComment': '', 'rank': 30, 'id': 'KCA#3fc231d5d13ea9ea9e5b066d6f26bdc0', 'quantity': 'quelques feuilles', 'quantityLem': 'quelque feuille', 'pack': ['APL.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', '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': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 7.93255877494812} ---------------------------------------------------------------------------------- LLM CPU Time: 7.93255877494812