Input path: /home/debian/html/nutritwin/output_llm/66ed9730cdaba/input.json
Output path: /home/debian/html/nutritwin/output_llm/66ed9730cdaba/output.json
Input text: Ce matin j'ai bu un verre de coca.
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 bu un verre de coca.
==================================================================================================================================
==================================== 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 bu un verre de coca.###.
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 bu un verre de coca.""" 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": "coca",
"quantity": "un verre",
"type": "beverage",
"timeOfTheDay": "breakfast",
"brand": "Coca",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "coca",
"quantity": "un verre",
"type": "beverage",
"timeOfTheDay": "breakfast",
"brand": "Coca",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "coca", "quantity": "un verre", "type": "beverage", "timeOfTheDay": "breakfast", "brand": "Coca", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'coca', 'quantity': 'un verre', 'type': 'beverage', 'timeOfTheDay': 'breakfast', 'brand': 'Coca', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'coca', 'quantity': 'un verre', 'type': 'beverage', 'timeOfTheDay': 'breakfast', 'brand': 'Coca', '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 '% coca %' AND V_NormTrademark LIKE '%coca%'
------------- Found solution (max 20) --------------
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 0049000004632 - 0049000004632 - OFF#40538ecf4c32705b3b695d7a2d2b3611
Coca Zero - coca zero - - The Coca-Cola Company - 0 - 3348630001101 - 3348630001101 - OFF#440095f3b491e7e31cd0d061fc51039a
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5449000028921 - 0049000004632 - OFF#20f61f62bf57f7016ce7534ad4a33ade
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5449000155986 - 0049000004632 - OFF#9ebd6cc3a118cd0be4c1bdf4c247d6cf
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634716 - 0049000004632 - OFF#88d61dff0933f8e590144113cc5fbe1d
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634655 - 0049000004632 - OFF#3406355b3bacc2c71d87ae5715b5090a
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112632767 - 0049000004632 - OFF#07b9b58aabe14458999e1bfb98e87471
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112631104 - 0049000004632 - OFF#30539faf7d5765f120a708d779bbff5c
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112631029 - 0049000004632 - OFF#9b12e89e2a7c51a6d2314130eede254c
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112630794 - 0049000004632 - OFF#c802b479d07373b20244ae19f9866d1b
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112624663 - 0049000004632 - OFF#781452f961918695196b160a130f121e
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112624656 - 0049000004632 - OFF#1aa11fccd73b2506297d35c05e25668c
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112620047 - 0049000004632 - OFF#5fa47b84809957c26b74ef2cf2ca3881
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619997 - 0049000004632 - OFF#9c8fd611edcd6f445818d612e940ba65
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619959 - 0049000004632 - OFF#044755b9424ce5ab97492747546a7707
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112634723 - 0049000004632 - OFF#4d069c23c7aaf392d5331bb6df53c608
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112619386 - 0049000004632 - OFF#9a6fb1fc814d8435a8012f445c5422a3
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112611878 - 0049000004632 - OFF#6cf84d5d85e9ef0f5c5592e371cf72a8
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112611748 - 0049000004632 - OFF#3da24a84935e71bf071d57cfe1811b6d
Coca Cola - coca cola - - The Coca-Cola Company - 0 - 5000112609691 - 0049000004632 - OFF#f8f46179d904948cee801fc72dce6f34
----------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': "Ce matin j'ai bu un verre de coca.", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Coca Cola', 'normName': ' coca cola ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#40538ecf4c32705b3b695d7a2d2b3611', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['C50', 'C3B', 'C33', 'VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '0049000004632', 'gtinRef': '0049000004632', 'brand': 'The Coca-Cola Company', 'time': 'breakfast', 'event': 'declaration', 'serving': 'BI4-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.28420352935791}
----------------------------------------------------------------------------------
LLM CPU Time: 2.28420352935791