Input path: /home/debian/html/nutritwin/output_llm/6711494b1dc12/input.json
Output path: /home/debian/html/nutritwin/output_llm/6711494b1dc12/output.json
Input text: Haricots plats et omelette de champignons.
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: Haricots plats et omelette de champignons.
==================================================================================================================================
==================================== 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: ###Haricots plats et omelette de champignons.###.
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 : """Haricots plats et omelette de champignons.""" 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": "Haricots plats",
"type": "food",
"event": "declaration"
},
{
"name": "omelette de champignons",
"type": "food",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "Haricots plats",
"type": "food",
"event": "declaration"
},
{
"name": "omelette de champignons",
"type": "food",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "Haricots plats", "type": "food", "event": "declaration" }, { "name": "omelette de champignons", "type": "food", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'Haricots plats', 'type': 'food', 'event': 'declaration'}, {'name': 'omelette de champignons', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'Haricots plats', '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 '% haricot plat %' 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 '% haricot plat %' AND V_NormTrademark LIKE '%%'
------------- Found solution (max 20) --------------
Har Plat Cou Cee2 Exp Dy - har plat cou cee2 exp dy - - D'Aucy - 0 - 3017800508831 - 3017800508831 - OFF#6a2575d3c27fa680eb539d8d3eef00e3
Haricots Plats - haricot plat - - U - 0 - 3256222158303 - 3256222158303 - OFF#ace6ab2e5abafbc86695e5b3cd525122
Haricots Plats - haricot plat - - Auchan - 0 - 3596710274833 - 3596710274833 - OFF#9bd2250a7add861d1556737b7953c309
Haricots Plat Coupés - haricot plat coupe - - Leader Price - 0 - 3263850000430 - 3263850000430 - OFF#1e1f2a79f9c0fb0a30d4095da34a43f2
Haricots Plat Coupés - haricot plat coupe - - Thiriet - 0 - 3292590829940 - 3292590829339 - OFF#2318a01ec1e1be79f79762008c49ea7d
Haricots Plats Coupés - haricot plat coupe - - Casino - 0 - 3222476228369 - 3222476228369 - OFF#1f4982a84c4f42a937161628b7a9c136
Haricots Plats Coupés - haricot plat coupe - - Cora - 0 - 3257981318823 - 3257981318823 - OFF#03b6d6ef9a0492007b0a6e095c8c0fc9
Haricots Plats Coupés - haricot plat coupe - - Franprix - 0 - 3263856746912 - 3263856746912 - OFF#50e2fc918225f91adcbecea4ddf4e371
Haricots Plats Coupés - haricot plat coupe - - Picard - 0 - 3270160102808 - 3270160102808 - OFF#68459d01fd7cd4abcbb0e737ef823d83
Haricots Plats Coupés - haricot plat coupe - - Thiriet - 0 - 3292590829339 - 3292590829339 - OFF#8e25a3442aa0f481b456633f7a1a0378
Haricots Plats Minute - haricot plat minute - - Auchan - 0 - 3596710470624 - 3596710470624 - OFF#136c928d220caf0fa71388babce05b6e
Haricots Plats Coupés - haricot plat coupe - - Picard - 0 - 3270160876853 - 3270160102808 - OFF#33e4943276cbd8b17e9e2381691c4244
Haricots Plats Coupés 1 Kilo - haricot plat coupe kilo - - Carrefour - 0 - 3560070320066 - 3560070320066 - OFF#08fffff91cb69e013b6732833d6ca097
Duo de Haricots Plats Coupés - duo de haricot plat coupe - - Picard - 0 - 3270160593323 - 3270160593323 - OFF#18c703f5ac783d01dcd629a304be3361
Brocolis Haricots Plats Carottes Carottes Jaunes - brocoli haricot plat carotte carotte jaune - - D'Aucy - 0 - 3248451069727 - 3248451069727 - OFF#04f3180590a09a483d53890dfc937ea6
La Catalane aux Haricots Plats Courgettes Grillées Thym - catalane au haricot plat courgette grillee thym - - Bonduelle - 0 - 3083680972888 - 3083680972888 - OFF#d17ff178732486e4b2ba43ec590dc6e4
l'Espagnole aux Haricots Plats Courgettes Grillées Thym - espagnole au haricot plat courgette grillee thym - - Bonduelle - 0 - 3083681062489 - 3083681062489 - OFF#771bffa5915e628d4c088e857461d68f
Poêlée Catalane Haricots Plats Courgettes Aubergines Préfrites Poivrons Oignons - poelee catalane haricot plat courgette aubergine prefrite poivron oignon - - Auchan - 0 - 3596710274536 - 3596710274536 - OFF#6a73730e893a3dc5e5836876a9785e06
Poêlée du Sud la Catalane aux Haricots Plats Courgettes Grillées Thym - poelee sud catalane au haricot plat courgette grillee thym - - Bonduelle - 0 - 3083680904988 - 3083680904988 - OFF#757a8e82b2916c7053fcc3302394b794
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'omelette de champignons', '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 '% omelette de champignon %' 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 '% omelette de champignon %' AND V_NormTrademark LIKE '%%'
------------- Found solution (max 20) --------------
Riz Cantonais - riz cantonai - - Cora - 0 - 3257981029354 - 3257981029354 - OFF#d5605ab0e7a2db0d7f9250503f1fd7ba
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': 'Haricots plats et omelette de champignons.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Har Plat Cou Cee2 Exp Dy', 'normName': ' har plat cou cee2 exp dy ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#6a2575d3c27fa680eb539d8d3eef00e3', 'quantity': '', 'quantityLem': '', 'pack': ['LEG.w150'], 'type': 'food', 'gtin': '3017800508831', 'gtinRef': '3017800508831', 'brand': "D'Aucy", 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}, {'name': 'Riz Cantonais', 'normName': ' riz cantonai ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#d5605ab0e7a2db0d7f9250503f1fd7ba', 'quantity': '', 'quantityLem': '', 'pack': ['APL.w250'], 'type': 'food', 'gtin': '3257981029354', 'gtinRef': '3257981029354', 'brand': 'Cora', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 1.9239485263824463}
----------------------------------------------------------------------------------
LLM CPU Time: 1.9239485263824463