Input path: /home/debian/html/nutritwin/output_llm/678059c819665/input.json Output path: /home/debian/html/nutritwin/output_llm/678059c819665/output.json Input text: Et enregistre ce que tu bouffes regarde c'est trop stylé ça te dit ce que tu penses ce que tu dis j'ai mangé un croissant ce matin. 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: Et enregistre ce que tu bouffes regarde c'est trop stylé ça te dit ce que tu penses ce que tu dis j'ai mangé un croissant ce matin. ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Identify food and beverage consumption or declaration", "Identify the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###Et enregistre ce que tu bouffes regarde c'est trop stylé ça te dit ce que tu penses ce que tu dis j'ai mangé un croissant ce matin.###. Format the result in JSON format: {"intents": []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- {"intents": ["Identify food and beverage consumption or declaration"]} ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ {"intents": ["Identify food and beverage consumption or declaration"]} ------------------------------------------------------ ERROR: wrong object representation: {'intents': ['Identify food and beverage consumption or declaration']} ------------------------ After simplification ------------------------ { "intents": [ "Identify food and beverage consumption or declaration" ] } ---------------------------------------------------------------------- ==================================== Prompt ============================================= Convert this natural language query : """Et enregistre ce que tu bouffes regarde c'est trop stylé ça te dit ce que tu penses ce que tu dis j'ai mangé un croissant ce matin.""" into an array of JSON. Ignore what it is not connected to nutrition, beverage or food. Provide a solution without explanation. Use the following ontology and only this 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": "croissant", "quantity": "un", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" } ] ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ [ { "name": "croissant", "quantity": "un", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" } ] ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "croissant", "quantity": "un", "timeOfTheDay": "breakfast", "type": "food", "event": "declaration" } ] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'croissant', 'quantity': 'un', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}], 'cost': 0.09978} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'croissant', 'quantity': 'un', 'timeOfTheDay': 'breakfast', '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 '% croissant %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Croissant - croissant - - - 0 - - - CIQ#86eae30edf4c00781a56f6b68dc52c22 Croissant Ordinaire - croissant ordinaire - - - 1682 - - - KCA#f001a79b3629152c6f6920a442cd728b Croissant au Jambon - croissant jambon - - - 212 - - - CIQ#8cd4fb25e8fd9b214dc8f8ca0dfd4d1a Croissant au Beurre - croissant beurre - artisanal - - 9262 - - - CIQ#7443ae4065cdd758d6077a2a98d30da8 Croissant Ordinaire - croissant ordinaire - artisanal - - 0 - - - CIQ#fe4e88f9975bad79c96e4d457655591a Croissant au Fromage - croissant fromage - - - 32 - - - KCA#81cabd3f5253e015e4c2a9d30e03d946 Croissant Boulangerie - croissant boulangerie - - - 848 - - - KCA#a4ee72ec661706e325ce7f55832b6f77 Croissant aux Amandes - croissant au amande - artisanal - - 0 - - - CIQ#09009466d5ee111e22cbfc099ea58f4a Croissant au Jambon Fromage - croissant jambon fromage - - - 0 - - - CIQ#62e60d508ab7cd11d065c260425c770b ---------------------------------------------------- --------------------------------- final result ----------------------------------- {'prompt': "Et enregistre ce que tu bouffes regarde c'est trop stylé ça te dit ce que tu penses ce que tu dis j'ai mangé un croissant ce matin.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Croissant', 'normName': ' croissant ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#86eae30edf4c00781a56f6b68dc52c22', 'quantity': 'un', 'quantityLem': '1', 'pack': ['VIE.w50'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': 'VIE-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.9257879257202148} ---------------------------------------------------------------------------------- LLM CPU Time: 1.9257879257202148