Input path: /home/debian/html/nutritwin/output_llm/66eab02a1ffcd/input.json
Output path: /home/debian/html/nutritwin/output_llm/66eab02a1ffcd/output.json
Input text: Ce matin j'ai mangé deux Vache Qui Rit j'ai bu un grand verre de lait et j'ai également mangé deux pains au chocolat.
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: Ce matin j'ai mangé deux Vache Qui Rit j'ai bu un grand verre de lait et j'ai également mangé deux pains au chocolat.
==================================================================================================================================
==================================== 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: ###Ce matin j'ai mangé deux Vache Qui Rit j'ai bu un grand verre de lait et j'ai également mangé deux pains au chocolat.###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
{
"intents": ["Identify food consumption or declaration"]
}
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
{
"intents": ["Identify food consumption or declaration"]
}
```
------------------------------------------------------
------------------------ After simplification ------------------------
{ "intents": ["Identify food consumption or declaration"]}
----------------------------------------------------------------------
==================================== Prompt =============================================
Convert this natural language query : """Ce matin j'ai mangé deux Vache Qui Rit j'ai bu un grand verre de lait et j'ai également mangé deux pains au chocolat.""" into an array in JSON of consumed foods and beverages.
Provide a solution without explanation.
Use only the 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...)."@en;
rdfs:comment "Ignore food or beverage when it is not consumed in the past, now or in the future."@en;
rdfs:comment "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."@en;
rdfs:comment "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.
"""
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
[
{
"name": "Vache Qui Rit",
"quantity": "deux",
"type": "food",
"event": "declaration"
},
{
"name": "lait",
"quantity": "un grand verre",
"type": "beverage",
"event": "declaration"
},
{
"name": "pain au chocolat",
"quantity": "deux",
"type": "food",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "Vache Qui Rit",
"quantity": "deux",
"type": "food",
"event": "declaration"
},
{
"name": "lait",
"quantity": "un grand verre",
"type": "beverage",
"event": "declaration"
},
{
"name": "pain au chocolat",
"quantity": "deux",
"type": "food",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "Vache Qui Rit", "quantity": "deux", "type": "food", "event": "declaration" }, { "name": "lait", "quantity": "un grand verre", "type": "beverage", "event": "declaration" }, { "name": "pain au chocolat", "quantity": "deux", "type": "food", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'Vache Qui Rit', 'quantity': 'deux', 'type': 'food', 'event': 'declaration'}, {'name': 'lait', 'quantity': 'un grand verre', 'type': 'beverage', 'event': 'declaration'}, {'name': 'pain au chocolat', 'quantity': 'deux', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'Vache Qui Rit', 'quantity': 'deux', '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 '% vache qui rit %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
Second 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_NormAggr LIKE '% vache qui rit %' AND V_NormTrademark LIKE '%%'
------------- Found solution (max 20) --------------
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073768465500 - 3073768465500 - OFF#64a8dc23196895161ab1b53d6923bde4
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781192186 - 3073768465500 - OFF#da43cf7551a9e13c61a1ad694e521b4d
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781071559 - 3073768465500 - OFF#8c52efd954d14680fc301fe8e08e1c82
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073780886840 - 3073768465500 - OFF#e12170c7846fec182545d25fee1b2813
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073780574242 - 3073768465500 - OFF#5f4a5603fe8f62909abc2cc739c79aa5
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781149586 - 3073768465500 - OFF#383167203c08d92736feccfd146b80de
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781149838 - 3073768465500 - OFF#a450d0cc58d1fa1b104236b2a3b0fb1d
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781149890 - 3073768465500 - OFF#1b0067194622ccea435fb351f5b4e9d4
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781149876 - 3073768465500 - OFF#7e4fda2bf6eb008f72ad807808a6af64
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781158533 - 3073768465500 - OFF#a6023c2768c642db84da32383a25ca81
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781158830 - 3073768465500 - OFF#28d1e1d1aa56dae7fc32bcbf6859e135
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781194692 - 3073768465500 - OFF#e824de1734ce67d42f4333e7879c4545
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781192216 - 3073768465500 - OFF#9296abd5b4b24c23e27e9309776f6c1e
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781178913 - 3073768465500 - OFF#5c71f9d1919acec1ce090da7d83251f8
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781160420 - 3073768465500 - OFF#d105e86b448cf52866438cfa143f7aa9
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781158854 - 3073768465500 - OFF#c2860291f39ec76a244f28873be7d183
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781158847 - 3073768465500 - OFF#861fadf18788d9d0c2e6593e9378d4a3
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781149937 - 3073768465500 - OFF#931815b46e255f01a8c4fc69aa6023d7
La Vache Qui Rit - vache qui rit - - group Bel - 0 - 3073781070200 - 3073768465500 - OFF#712506d4ac1e1c5ca319750438d29a11
La Vache Qui Rit 16p - vache qui rit 16p - - group Bel - 0 - 3073781149852 - 3073781149852 - OFF#7ebe1de82703b44929fb2056a48c1e6d
----------------------------------------------------
----------- result to be analyzed -----------
{'name': 'lait', 'quantity': 'un grand verre', 'type': 'beverage', '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 '% lait %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Lait - lait - teneur en matière grasse inconnue, UHT, aliment moyen - - 0 - - - CIQ#ebdfafe0fce6b513193ae9c0855b4094
Lait à 1 - lait - 2% de matière grasse, UHT, enrichi en plusieurs vitamines - - 0 - - - CIQ#825f8bcb068ecde315938147ed819623
Lait Entier - lait entier - - - 1435 - - - KCA#c131edf4d3c1e17da0b0a54b5ed8bbb6
Lait Écrémé - lait ecreme - UHT - - 9353 - - - CIQ#27de8d007093ae392f4b782851e7fd9c
Lait Entier - lait entier - UHT - - 0 - - - CIQ#5118aac9b89cceae9a62423175de70eb
Lait Écrémé - lait ecreme - pasteurisé - - 0 - - - CIQ#1622e54576ffea9bca81697cacb48d94
Lait Entier - lait entier - pasteurisé - - 0 - - - CIQ#d5881852b522b09ee02aa0fe46885b00
Lait de Soja - lait de soja - - - 3001 - - - KCA#7484ab8a01f886bca7607cf06a579a2c
Lait d'Avoine - lait avoine - - - 837 - - - KCA#54605e0becbb04ace3db6bf78748c15f
Lait de Poule - lait de poule - sans alcool - - 0 - - - CIQ#f6756ecdc46ec65e5972c6aaf481f4a2
Lait en Poudre - lait en poudre - écrémé - - 117 - - - CIQ#1d9ba583216533c41321ffd9ea51b327
Lait en Poudre - lait en poudre - entier - - 25 - - - CIQ#be7d16f0a05422e5eb1d5ff077dee20c
Lait de Brebis - lait de brebi - entier - - 0 - - - CIQ#b54f3b8a48f8d3e0ba7a0228c8adca4f
Lait de Jument - lait de jument - entier - - 0 - - - CIQ#05ea74b811b1a15ad91876c22391f13a
Lait en Poudre - lait en poudre - demi-écrémé - - 0 - - - CIQ#ee03115de1c18f635dbb62d80d6f9715
Lait de Chèvre - lait de chevre - entier, cru - - 0 - - - CIQ#8fb6afe4302a0073de91d274e3722c3e
Lait de Chèvre - lait de chevre - entier, UHT - - 0 - - - CIQ#9d462cfc80afac9cf259f0f2f305db74
Lait de Chèvre - lait de chevre - demi-écrémé, UHT - - 0 - - - CIQ#a497c21ecfbd7c2930cb99326897a779
Lait 1/2 Écrémé - lait 1/2 ecreme - - - 23220 - - - KCA#d5b12fbedab6d0f0a741feeaa8e92b35
Lait Entier UHT - lait entier uht - - - 25 - - - KCA#aeb66cc691b5e08f15b01dc094a51d18
----------------------------------------------------
----------- result to be analyzed -----------
{'name': 'pain au chocolat', 'quantity': 'deux', '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 '% pain chocolat %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Pain au Chocolat - pain chocolat - - - 8865 - - - CIQ#aa621dd97d922a7b28ca0ee09aed7449
Pain au Chocolat Feuilleté - pain chocolat feuillete - artisanal - - 0 - - - CIQ#bd38d8f7658a11f0a504009aaaa44ead
----------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': "Ce matin j'ai mangé deux Vache Qui Rit j'ai bu un grand verre de lait et j'ai également mangé deux pains au chocolat.", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'La Vache Qui Rit', 'normName': ' vache qui rit ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#64a8dc23196895161ab1b53d6923bde4', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['VQR.w16'], 'type': 'food', 'gtin': '3073768465500', 'gtinRef': '3073768465500', 'brand': 'group Bel', 'time': '', 'event': 'declaration', 'serving': 'VQR-200', 'posiNormName': 0}, {'name': 'Lait', 'normName': ' lait ', 'comment': 'teneur en matière grasse inconnue, UHT, aliment moyen', 'normComment': ' teneur en matiere grasse inconnue uht aliment moyen ', 'rank': 0, 'id': 'CIQ#ebdfafe0fce6b513193ae9c0855b4094', 'quantity': 'un grand verre', 'quantityLem': '1 grand verre', 'pack': ['VX1', 'VA2', 'VA3', 'BI4', 'VA4'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'VX1-100', 'posiNormName': 0}, {'name': 'Pain au Chocolat', 'normName': ' pain chocolat ', 'comment': '', 'normComment': '', 'rank': 8865, 'id': 'CIQ#aa621dd97d922a7b28ca0ee09aed7449', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['PAC.w80'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'PAC-200', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.3938844203948975}
----------------------------------------------------------------------------------
LLM CPU Time: 3.3938844203948975