Input path: /home/debian/html/nutritwin/output_llm/6632937e4e507/input.json Output path: /home/debian/html/nutritwin/output_llm/6632937e4e507/output.json Input text: Bon j'ai mangé ce 12h02 oeufs ensuite un plat de ratatouille un morceau de pain et un morceau de gruyère. Après aller courir courir 30 minutes dans le parc d'à côté 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: Bon j'ai mangé ce 12h02 oeufs ensuite un plat de ratatouille un morceau de pain et un morceau de gruyère. Après aller courir courir 30 minutes dans le parc d'à côté ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Bon j'ai mangé ce 12h02 oeufs ensuite un plat de ratatouille un morceau de pain et un morceau de gruyère. Après aller courir courir 30 minutes dans le parc d'à côté###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json { "intents": ["Identify food consumption or declaration", "Identify the user physical activity"] } ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json { "intents": ["Identify food consumption or declaration", "Identify the user physical activity"] } ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ { "intents": ["Identify food consumption or declaration", "Identify the user physical activity"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Bon j'ai mangé ce 12h02 oeufs ensuite un plat de ratatouille un morceau de pain et un morceau de gruyère. Après aller courir courir 30 minutes dans le parc d'à côté""" into an array in JSON of consumed foods and beverages. Provide a solution without explanation. Use only the ontology described in this 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 drink identifier, the name should not contain information related to quantity or container (like glass...). The cooking mode is not in the name. Keep the same language"@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 examples in french: '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. Keep the same language"@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 'brand' is not specified and, the food or beverage is very well-known (like 'Coca-Cola'), provide the brand name in 'brand', otherwise set 'brand' to ''."@en; rdfs:range xsd:string. food:company a owl:DatatypeProperty ; rdfs:label "Company"@en; rdfs:comment "Product company."@en; rdfs:range xsd:string. food:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range xsd:string. food:intent a food:event ; rdfs:label "intent" . rdfs:comment "When the event should happen"@en. food:declaration a food:event ; rdfs:label "declaration" . rdfs:comment "When the event has already occured"@en. food:unknownEvent a food:event ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day"@en. """ ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json [ { "food:name": "oeufs", "food:quantity": "deux", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "ratatouille", "food:quantity": "un plat", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "pain", "food:quantity": "un morceau", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "gruyère", "food:quantity": "un morceau", "food:timeOfTheDay": "lunch", "food:event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "food:name": "oeufs", "food:quantity": "deux", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "ratatouille", "food:quantity": "un plat", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "pain", "food:quantity": "un morceau", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "gruyère", "food:quantity": "un morceau", "food:timeOfTheDay": "lunch", "food:event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "food:name": "oeufs", "food:quantity": "deux", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "ratatouille", "food:quantity": "un plat", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "pain", "food:quantity": "un morceau", "food:timeOfTheDay": "lunch", "food:event": "declaration" }, { "food:name": "gruyère", "food:quantity": "un morceau", "food:timeOfTheDay": "lunch", "food:event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'food:name': 'oeufs', 'food:quantity': 'deux', 'food:timeOfTheDay': 'lunch', 'food:event': 'declaration'}, {'food:name': 'ratatouille', 'food:quantity': 'un plat', 'food:timeOfTheDay': 'lunch', 'food:event': 'declaration'}, {'food:name': 'pain', 'food:quantity': 'un morceau', 'food:timeOfTheDay': 'lunch', 'food:event': 'declaration'}, {'food:name': 'gruyère', 'food:quantity': 'un morceau', 'food:timeOfTheDay': 'lunch', 'food:event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'oeufs', 'quantity': 'deux', 'timeOfTheDay': 'lunch', '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 '% oeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Oeuf - oeuf - cru - - 177 - - - CIQ#89c78a1c04879b2ae973694f50092c79 Oeuf - oeuf - dur - - 0 - - - CIQ#fda269f79263c80adf5b9b2c3c29c1d7 Oeuf - oeuf - poché - - 0 - - - CIQ#8d04a52d9c575bdba000c6f1cf343ab0 Oeuf - oeuf - en poudre - - 0 - - - CIQ#f4b4ef030ae3fcf5bbfea0a792a9ab66 Oeuf - oeuf - à la coque - - 3414 - - - CIQ#37567ba433b1d5278fcb1a7813128c96 Oeuf - oeuf - blanc, blanc d'oeuf - - 0 - - - CIQ#f8541a0a53cfc718c4be702af74b13a6 Oeuf - oeuf - jaune, jaune d'oeuf - - 0 - - - CIQ#caff0c1a1a02e4d086dd987b784e898a Oeuf - oeuf - au plat, frit, salé - - 0 - - - CIQ#f9852838d9a21ae4940ea5102b58e8d1 Oeuf - oeuf - blanc, blanc d'oeuf, cru - - 0 - - - CIQ#91658f86dcc6220b09b2ffc7d5e4d309 Oeuf - oeuf - jaune, jaune d'oeuf, cru - - 0 - - - CIQ#cab44469339c33f14bf4c536019e8f57 Oeuf - oeuf - au plat, sans matière grasse - - 0 - - - CIQ#36e518c64c0e0c5a908f4674e1587a9c Oeuf - oeuf - brouillé, avec matière grasse - - 0 - - - CIQ#89ffd23269a5b9a6910f6a7bb1a17945 Oeuf - oeuf - blanc, blanc d'oeuf, en poudre - - 0 - - - CIQ#6dc23efe8a247a89ac865e3539278bb1 Oeuf - oeuf - jaune, jaune d'oeuf, en poudre - - 0 - - - CIQ#20ab10b969e15e835fce7d54c1815eeb Oeuf Dur - oeuf dur - - - 34213 - - - KCA#0c9196f2d28e211ac0aeb81d4c9361a9 Oeuf Poché - oeuf poche - - - 645 - - - KCA#1759edc574d011bf3a8af743ed941e6e Oeuf d'Oie - oeuf oie - cru - - 0 - - - CIQ#d5a0273c1cb314a819952b4272379b24 Oeuf Miroir - oeuf miroir - - - 11945 - - - KCA#5cf9cdac852c9777e406442fcfd51315 Oeufs Panés - oeuf pane - - - 15 - - - KCA#476eea019750878ec03fbc60bcfa9020 Oeufs Frits - oeuf frit - aux Tomates Provençales - - 13 - - - KCA#1939ad70c8a272d6285ac0509778f087 ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'ratatouille', 'quantity': 'un plat', 'timeOfTheDay': 'lunch', '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 '% ratatouille %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Ratatouille - ratatouille - - - 11169 - - - KCA#0915ac8eee3a322f79613db02e457183 Ratatouille Rôtie - ratatouille rotie - - - 21 - - - KCA#e9c60654c2178e698d6bf4635b8f8ba7 Ratatouille Niçoise - ratatouille nicoise - - - 150 - - - KCA#ee49faa724d0e8a83150750545856c90 Ratatouille Catalane - ratatouille catalane - - - 16 - - - KCA#005e6ccb698f59ed2bcbb3116be1a5a4 Lotte à la Ratatouille - lotte ratatouille - - - 22 - - - KCA#3758f8c9aead5282a93403ae8de4d8e4 Côte d'Agneau à la Ratatouille - cote agneau ratatouille - - - 25 - - - KCA#3cc7dfdd8c228821419da818b33f48d4 ---------------------------------------------------- ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'pain', 'quantity': 'un morceau', 'timeOfTheDay': 'lunch', '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 '% pain %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Pain - pain - - - 261532 - - - CIQ#78316c0b820d8f80c640c9d0bc741c50 Pain - pain - sans gluten - - 29 - - - CIQ#9d6a800b4a9dbe9504fb68b26057ad7b Pain - pain - baguette, courante - - 0 - - - CIQ#c92016dc98d790db0bc7c949d601f5c2 Pain - pain - baguette ou boule, au levain - - 0 - - - CIQ#4b65f0348cbdd1f29daadea789369616 Pain - pain - baguette ou boule, de campagne - - 0 - - - CIQ#665da1982ec8e7e74501d57dc7e111b8 Pain - pain - baguette, de tradition française - - 0 - - - CIQ#e5e8a2a86b1a95d66e26a64c18c0b520 Pain - pain - baguette ou boule, bis, à la farine T80 ou T110 - - 0 - - - CIQ#233b9a74f0cc423be7b3fe6fa040567b Pain - pain - baguette ou boule, bio, à la farine T55 jusqu'à T110 - - 0 - - - CIQ#91fae3ae1c9b87dd0039d7caa03a7d72 Pain - pain - baguette ou boule, aux céréales et graines, artisanal - - 0 - - - CIQ#5fed24621fe6dde995398f020bf84d7d Pain Bis - pain bi - - - 77 - - - KCA#0d04d397f5620b8618c8972be2ce29a7 Pain Pita - pain pita - - - 951 - - - KCA#0a6b29619370c1e5c09e5ec16992feed Pain Azyme - pain azyme - - - 1038 - - - KCA#90d292248257ebd4aba91b7e0f6f67d7 Pain Perdu - pain perdu - - - 783 - - - CIQ#67427fe34e70bfc99fd131b16908c1ee Pain de Son - pain de son - - - 302 - - - KCA#3ccdb3c87985b4f83e1354ee3a2cebfd Pain au Son - pain son - - - 0 - - - CIQ#825cc00fe7ac81ed34e142fde0f6ddf4 Pain de Mie - pain de mie - au son - - 0 - - - CIQ#1f8d06921f1e892824b0f8cef870e840 Pain de Mie - pain de mie - complet - - 7211 - - - CIQ#d93405497d2314d29dbd770c5b956eeb Pain de Mie - pain de mie - courant - - 0 - - - CIQ#667832b5357e637fdb28760b7d6c2d8d Pain Grillé - pain grille - domestique - - 0 - - - CIQ#f4bc68c618fb825e526db4034e88b66a Pain de Mie - pain de mie - sans croûte - - 32 - - - CIQ#be3f663945b51703d39413cadc3becab ---------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'gruyère', 'quantity': 'un morceau', 'timeOfTheDay': 'lunch', '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 '% gruyere %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Gruyère - gruyere - - - 7521 - - - CIQ#d7e39e05c4ee4a769906946413508445 Gruyère Râpé - gruyere rape - - - 7939 - - - KCA#d032470204b47c710c23a5c02e473e76 Gruyère Igp France - gruyere igp france - - - 0 - - - CIQ#a2251fb6591d063e5530ed6abaeaa7a7 Oeufs au Gruyère - oeuf gruyere - - - 25 - - - KCA#f6cb9ec99a098e09f221a093b9aadd85 Salée au Gruyère - salee gruyere - au gruyère - - 0 - - - KCA#ef167b86172b0d1e41bb21a5ed052daa Tarte au Gruyère - tarte gruyere - au gruyère - - 0 - - - KCA#8c5685d741d45bf69ebf27535ec200f1 Tourte au Gruyère - tourte gruyere - au gruyère - - 0 - - - KCA#5eb9a59879d570dffe6bf6c085fb2b6b Croutes au Gruyère - croute gruyere - - - 3 - - - KCA#e6ba8444478468d24d8d27ddbf5b75aa Crème de Gruyère - creme de gruyere - - - 35 - - - KCA#c7551826cc0013fca4072fff660254e7 Escalopes au Gruyère - escalope gruyere - - - 14 - - - KCA#93f26860c5cb1aa23bd465e0ac822370 Salade de Gruyère - salade de gruyere - - - 68 - - - KCA#e2dc1c2130c264d70159c6c8cc8a0cc4 Soufflé de Semoule au Gruyère - souffle de semoule gruyere - au gruyère - - 0 - - - KCA#b461072b24c1ab65dec61a5db2481981 ---------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Bon j'ai mangé ce 12h02 oeufs ensuite un plat de ratatouille un morceau de pain et un morceau de gruyère. Après aller courir courir 30 minutes dans le parc d'à côté""" into an array in JSON of sport or physical activities. Provide a solution without explanation. Use only the ontology described in this RDF model: """ @prefix activity: . @prefix rdfs: . @prefix xsd: . @prefix owl: . @prefix prov: . activity: a owl:Ontology ; rdfs:comment "Definition of the sport and physical activity archetype"@en . activity:name a owl:DatatypeProperty; rdfs:label "name"@en; rdfs:comment "Sport or physical activity identifier, the name should not contain information related to duration. Ignore the negative action. Keep the same language"@en; rdfs:range xsd:string. # Define the enumeration class activity:EnumActivity a rdfs:Class . activity:BasketBall a activity:EnumActivity ; rdfs:label "Basket-ball is the exact name" . activity:Cyclisme a activity:EnumActivity ; rdfs:label "Cyclisme is the exact name" . activity:Boxe a activity:EnumActivity ; rdfs:label "Boxe is the exact name" . activity:Danse a activity:EnumActivity ; rdfs:label "Danse is the exact name" . activity:Zumba a activity:EnumActivity ; rdfs:label "Zumba is the exact name" . activity:PlongeeSousMarine a activity:EnumActivity ; rdfs:label "Plongée sous-marine is the exact name" . activity:Escrime a activity:EnumActivity ; rdfs:label "Escrime is the exact name" . activity:Football a activity:EnumActivity ; rdfs:label "Football is the exact name" . activity:Jardinage a activity:EnumActivity ; rdfs:label "Jardinage is the exact name" . activity:Golf a activity:EnumActivity ; rdfs:label "Golf is the exact name" . activity:Gymnastique a activity:EnumActivity ; rdfs:label "Gymnastique is the exact name" . activity:Judo a activity:EnumActivity ; rdfs:label "Judo is the exact name" . activity:Karate a activity:EnumActivity ; rdfs:label "Karaté is the exact name" . activity:CordeASauter a activity:EnumActivity ; rdfs:label "Corde à sauter is the exact name" . activity:RameurDAppartement a activity:EnumActivity ; rdfs:label "Rameur d'appartement is the exact name" . activity:CourseAPied a activity:EnumActivity ; rdfs:label "Course à pied is the exact name" . activity:FaireLAmour a activity:EnumActivity ; rdfs:label "Faire l'amour is the exact name" . activity:SkiDeDescente a activity:EnumActivity ; rdfs:label "Ski de descente is the exact name" . activity:Natation a activity:EnumActivity ; rdfs:label "Natation is the exact name" . activity:Tennis a activity:EnumActivity ; rdfs:label "Tennis is the exact name" . activity:TapisDeCourse a activity:EnumActivity ; rdfs:label "Tapis de course is the exact name" . activity:SkiDeFond a activity:EnumActivity ; rdfs:label "Ski de fond is the exact name" . activity:VeloDAppartement a activity:EnumActivity ; rdfs:label "Vélo d'appartement is the exact name" . activity:Aquabiking a activity:EnumActivity ; rdfs:label "Aquabiking is the exact name" . activity:VeloElliptique a activity:EnumActivity ; rdfs:label "Vélo elliptique is the exact name" . activity:Equitation a activity:EnumActivity ; rdfs:label "Equitation is the exact name" . activity:Escalade a activity:EnumActivity ; rdfs:label "Escalade is the exact name" . activity:PatinsEnLigne a activity:EnumActivity ; rdfs:label "Patins en ligne is the exact name" . activity:TennisDeTable a activity:EnumActivity ; rdfs:label "Tennis de table is the exact name" . activity:Marche a activity:EnumActivity ; rdfs:label "Marche is the exact name" . activity:MarcheAvecUnChien a activity:EnumActivity ; rdfs:label "Marche avec un chien is the exact name" . activity:TachesMenageres a activity:EnumActivity ; rdfs:label "Tâches ménagères is the exact name" . activity:MarcheNordique a activity:EnumActivity ; rdfs:label "Marche nordique is the exact name" . activity:duration a owl:DatatypeProperty ; rdfs:label "duration"@en; rdfs:comment "The duration must be a number and must be in minute. If the duration is unknown, set duration to 0. A full day of activity is equivalent to a duration of 8 hours. A half day of activity is equivalent to a duration of 4 hours."@en; rdfs:range xsd:integer. activity:event a owl:DatatypeProperty ; rdfs:label "event"@en; rdfs:comment "Event of eating or drinking. Each must have an event"@en; rdfs:range xsd:string. activity:intent a activity:event ; rdfs:label "intent" ; rdfs:comment "When the event should happen"@en. activity:declaration a activity:event ; rdfs:label "declaration" ; rdfs:comment "When the event has already occured"@en. activity:unknownEvent a activity:event ; rdfs:label "unknown" ; rdfs:comment "When the event is unknown in the day, it is the default value"@en. activity:EnumIntensity a rdfs:Class . activity:lowLevel a activity:EnumIntensity ; rdfs:label "low" ; rdfs:comment "When the acitivity intent is low"@en. activity:moderateLevel a activity:EnumIntensity ; rdfs:label "moderate" ; rdfs:comment "When the acitivity intent is moderate"@en. activity:highLevel a activity:EnumIntensity ; rdfs:label "high" ; rdfs:comment "When the acitivity intent is high"@en. activity:intenseLevel a activity:EnumIntensity ; rdfs:label "intense" ; rdfs:comment "When the acitivity intent is intense"@en. activity:veryIntenseLevel a activity:EnumIntensity ; rdfs:label "very intense" ; rdfs:comment "When the acitivity intent is very intense"@en. activity:unknownLevel a activity:EnumIntensity ; rdfs:label "unknown" ; rdfs:comment "When the acitivity intent is unknown"@en. activity:intensity a owl:DatatypeProperty ; rdfs:label "intensity"@en; rdfs:comment "Sport or activity intensity"@en; rdfs:range activity:EnumIntensity . """ ========================================================================================= ------------------------------ LLM Raw response ----------------------------- ```json [ { "name": "Course à pied", "duration": 30 } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "Course à pied", "duration": 30 } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "Course à pied", "duration": 30 }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'Course à pied', 'duration': 30}], 'cost': 0.0} -------------------------------------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Bon j'ai mangé ce 12h02 oeufs ensuite un plat de ratatouille un morceau de pain et un morceau de gruyère. Après aller courir courir 30 minutes dans le parc d'à côté", 'intents': ['Identify food consumption or declaration', 'Identify the user physical activity'], 'model': 'gpt-4-0125-preview', 'solutions': {'nutrition': [{'name': 'Oeuf', 'normName': ' oeuf ', 'comment': 'cru', 'normComment': ' cru ', 'rank': 177, 'id': 'CIQ#89c78a1c04879b2ae973694f50092c79', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['OEU.w60'], 'type': '', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': 'OEU-200', 'posiNormName': 0}, {'name': 'Ratatouille', 'normName': ' ratatouille ', 'comment': '', 'normComment': '', 'rank': 11169, 'id': 'KCA#0915ac8eee3a322f79613db02e457183', 'quantity': 'un plat', 'quantityLem': '1 plat', 'pack': ['LEG.w150'], 'type': '', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Pain', 'normName': ' pain ', 'comment': '', 'normComment': '', 'rank': 261532, 'id': 'CIQ#78316c0b820d8f80c640c9d0bc741c50', 'quantity': 'un morceau', 'quantityLem': '1 morceau', 'pack': ['PAI.w60', 'BAG.w60', 'TPA.w30'], 'type': '', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': 'BAG-100', 'posiNormName': 0}, {'name': 'Gruyère', 'normName': ' gruyere ', 'comment': '', 'normComment': '', 'rank': 7521, 'id': 'CIQ#d7e39e05c4ee4a769906946413508445', 'quantity': 'un morceau', 'quantityLem': '1 morceau', 'pack': ['GRU.w20'], 'type': '', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'lunch', 'event': 'declaration', 'serving': 'GRU-100', 'posiNormName': 0}], 'activity': [{'trigram': 'RUN', 'duration': 30, 'event': '', 'level': 'RUN10'}], 'response': {}}, 'cputime': 14.451868295669556} ---------------------------------------------------------------------------------- LLM CPU Time: 14.451868295669556