Input path: /home/debian/html/nutritwin/output_llm/6799d87becda5/input.json
Output path: /home/debian/html/nutritwin/output_llm/6799d87becda5/output.json
Input text: Ce matin j'ai mangé des overnight haut avec des graines de chia les SK 0 % col de fraises et du chocolat noir fondu tout fait maison.
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 des overnight haut avec des graines de chia les SK 0 % col de fraises et du chocolat noir fondu tout fait maison.
==================================================================================================================================
==================================== 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: ###Ce matin j'ai mangé des overnight haut avec des graines de chia les SK 0 % col de fraises et du chocolat noir fondu tout fait maison.###.
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 : """Ce matin j'ai mangé des overnight haut avec des graines de chia les SK 0 % col de fraises et du chocolat noir fondu tout fait maison.""" 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": "overnight",
"quantity": "haut",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
},
{
"name": "graines de chia",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
},
{
"name": "SK 0 %",
"brand": "SK 0 %",
"timeOfTheDay": "breakfast",
"type": "beverage",
"event": "declaration"
},
{
"name": "chocolat noir fondu",
"cookingMethod": "fait maison",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "overnight",
"quantity": "haut",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
},
{
"name": "graines de chia",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
},
{
"name": "SK 0 %",
"brand": "SK 0 %",
"timeOfTheDay": "breakfast",
"type": "beverage",
"event": "declaration"
},
{
"name": "chocolat noir fondu",
"cookingMethod": "fait maison",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[
{
"name": "overnight",
"quantity": "haut",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
},
{
"name": "graines de chia",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
},
{
"name": "SK 0 %",
"brand": "SK 0 %",
"timeOfTheDay": "breakfast",
"type": "beverage",
"event": "declaration"
},
{
"name": "chocolat noir fondu",
"cookingMethod": "fait maison",
"timeOfTheDay": "breakfast",
"type": "food",
"event": "declaration"
}
]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'overnight', 'quantity': 'haut', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'graines de chia', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}, {'name': 'SK 0 %', 'brand': 'SK 0 %', 'timeOfTheDay': 'breakfast', 'type': 'beverage', 'event': 'declaration'}, {'name': 'chocolat noir fondu', 'cookingMethod': 'fait maison', 'timeOfTheDay': 'breakfast', 'type': 'food', 'event': 'declaration'}], 'cost': 0.11969999999999999}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'overnight', 'quantity': 'haut', '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 '% overnight %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
--> CPU time in DB: 0.1115 seconds
Word: Good Night - dist: 0.6842348575592041 - row: 58046
Word: Oatmeal - dist: 0.7869141101837158 - row: 10347
Word: Dark - dist: 0.7877525091171265 - row: 55982
Word: Medias Noches - dist: 0.7887542247772217 - row: 13545
Word: Natural - dist: 0.7913083434104919 - row: 62021
Found embedding word: Good Night
Second try (embedded):
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_Name = 'Good Night'
------------- Found solution (max 20) --------------
Good Night - good night - - Ricola - 0 - 76107184 - 76107184 - OFF#89c86177da168401873029f150d8e3a2
----------------------------------------------------
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'graines de chia', '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 '% graine de chia %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
--> CPU time in DB: 0.1106 seconds
Word: Graines de Chia - dist: 0.3290473520755768 - row: 7641
Word: Graines de Chia BIO - dist: 0.38638541102409363 - row: 35454
Word: Graines de Chia Noir - dist: 0.45163166522979736 - row: 55681
Word: Graines et Fruits Framboises et Graines de Chia - dist: 0.4782126843929291 - row: 60214
Word: Baguette Avec Graines de Chia - dist: 0.5210100412368774 - row: 54916
Found embedding word: Graines de Chia
Second try (embedded):
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_Name = 'Graines de Chia'
------------- Found solution (max 20) --------------
Graines de Chia - graine de chia - - Leclerc - 0 - 0230289016144 - 0230289016144 - OFF#8e669b52f41d454795d5619a46d8b828
Graines de Chia - graine de chia - - Vahiné - 0 - 3179142058396 - 3179142058396 - OFF#368681590ba4e2c7a1df91266a2ea228
Graines de Chia - graine de chia - - La Vie Claire - 0 - 3266191013312 - 3266191013312 - OFF#909a057ced0e4e67a025bae95e9bb8a3
Graines de Chia - graine de chia - - La Pâtelière - 0 - 3278584350133 - 3278584350133 - OFF#b46fb109d278cd5a865507a19149a3d9
Graines de Chia - graine de chia - - Moulin des Moines - 0 - 3347430024662 - 3347430024662 - OFF#dab36c871f4ef73c6e86f3367fd9b496
Graines de Chia - graine de chia - - Monoprix - 0 - 3350033500365 - 3350033500365 - OFF#a629fcb084804ba68c302001aa00d9f5
Graines de Chia - graine de chia - - Jardin Bio - 0 - 3456300004410 - 3456300004410 - OFF#210954fa513775eaa1ef95cbd33364f7
Graines de Chia - graine de chia - - Carrefour - 0 - 3560071270773 - 3560071270773 - OFF#d586ddd71a82558edd167575d97cba70
Graines de Chia - graine de chia - - Cora - 0 - 5400134407402 - 5400134407402 - OFF#ef8bc58655295e1329968129c0b85119
Graines de Chia - graine de chia - - Spar - 0 - 5400210188126 - 5400210188126 - OFF#fe14827055d480bab0497ce63fd151eb
Graines de Chia - graine de chia - - La Vie Claire - 0 - 3266191035345 - 3266191013312 - OFF#70cd076ebbd2d2ad62feca25bf749b47
Graines de Chia - graine de chia - - Jardin Bio - 0 - 3456300004878 - 3456300004410 - OFF#c6144afc7dd08f08122f6c752f512225
Graines de Chia - graine de chia - - Carrefour - 0 - 5400101069053 - 3560071270773 - OFF#5bb4ac78f3c4dd94e32c0fb96258e43f
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'SK 0 %', 'brand': 'SK 0 %', 'timeOfTheDay': 'breakfast', '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 '% sk %' AND V_NormTrademark LIKE '%sk 0 %%'
--> CPU time in DB: 0.1109 seconds
Word: 00% Bière sans Alcool - dist: 0.6426487565040588 - row: 50285
Word: Petit Suisse (60 %) - dist: 0.6600813865661621 - row: 2799
Word: Petit Suisse (40 %) - dist: 0.6625381708145142 - row: 2800
Word: Faisselle 0% - dist: 0.6790891885757446 - row: 21121
Word: 100% Cevada - dist: 0.6807436943054199 - row: 57372
Found embedding word: 00% Bière sans Alcool
Second try (embedded):
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_Name = '00% Bière sans Alcool'
------------- Found solution (max 20) --------------
00% Bière sans Alcool - 00% biere san alcool - - Auchan - 0 - 3596710512416 - 3596710512416 - OFF#3b180c5f85dfb7b385483dcbabdab825
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'chocolat noir fondu', 'cookingMethod': 'fait maison', '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 '% chocolat noir fondu %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
--> CPU time in DB: 0.1097 seconds
Word: Chocolat Noir Fondente - dist: 0.46743807196617126 - row: 46512
Word: Chocolat Noir - dist: 0.49810177087783813 - row: 5472
Word: Fondue Chocolat Noir Fondant - dist: 0.5112849473953247 - row: 17664
Word: Chocolat Noir Extra Fondant - dist: 0.5167191624641418 - row: 17454
Word: Chocolat Noir aux Noisettes - dist: 0.5323184728622437 - row: 7531
Found embedding word: Chocolat Noir Fondente
Second try (embedded):
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_Name = 'Chocolat Noir Fondente'
------------- Found solution (max 20) --------------
Chocolat Noir Fondente - chocolat noir fondente - - Carrefour - 0 - 3560071207137 - 3560071207137 - OFF#2a5df8ab4d80493aa0011127babcc97c
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': "Ce matin j'ai mangé des overnight haut avec des graines de chia les SK 0 % col de fraises et du chocolat noir fondu tout fait maison.", 'model': 'mistral-large-2411', 'imagePath': '', 'intents': ['Identify food and beverage consumption or declaration'], 'solutions': {'nutrition': [{'name': 'Good Night', 'normName': ' good night ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#89c86177da168401873029f150d8e3a2', 'quantity': 'haut', 'quantityLem': 'haut', 'pack': ['TA2.w2', 'TA3.w3', 'TAS.w3', 'TAC.w2'], 'type': 'food', 'gtin': '76107184', 'gtinRef': '76107184', 'brand': 'Ricola', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Graines de Chia', 'normName': ' graine de chia ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#8e669b52f41d454795d5619a46d8b828', 'quantity': '', 'quantityLem': '', 'pack': ['BOB.w30', 'BOL.w50'], 'type': 'food', 'gtin': '0230289016144', 'gtinRef': '0230289016144', 'brand': 'Leclerc', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': '00% Bière sans Alcool', 'normName': ' 00% biere san alcool ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#3b180c5f85dfb7b385483dcbabdab825', 'quantity': '', 'quantityLem': '', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '3596710512416', 'gtinRef': '3596710512416', 'brand': 'Auchan', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Chocolat Noir Fondente', 'normName': ' chocolat noir fondente ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#2a5df8ab4d80493aa0011127babcc97c', 'quantity': '', 'quantityLem': '', 'pack': ['CHO.w7'], 'type': 'food', 'gtin': '3560071207137', 'gtinRef': '3560071207137', 'brand': 'Carrefour', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 7.8505072593688965}
----------------------------------------------------------------------------------
LLM CPU Time: 7.8505072593688965