Input path: /home/debian/html/nutritwin/output_llm/66426688e981b/input.json
Output path: /home/debian/html/nutritwin/output_llm/66426688e981b/output.json
Input text: Ce matin j'ai mangé un bol de squirre une grosse poignée de myrtille
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 un bol de squirre une grosse poignée de myrtille
==================================================================================================================================
==================================== 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 un bol de squirre une grosse poignée de myrtille###.
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 un bol de squirre une grosse poignée de myrtille""" into an array in JSON of consumed foods and beverages.
Provide a solution without explanation.
Use only the ontology described in this 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 drink identifier, the name should not contain information related to quantity or container (like glass...). 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. When the 'brand' is not specified and, the food or beverage is very well-known (like 'Coca-Cola'), provide the brand name in 'brand', otherwise set 'brand' to ''."@en;
rdfs:range xsd:string.
food:company a owl:DatatypeProperty ;
rdfs:label "Company"@en;
rdfs:comment "Product company."@en;
rdfs:range xsd:string.
food:event a owl:DatatypeProperty ;
rdfs:label "event"@en;
rdfs:comment "Event of eating or drinking. Each must have an event"@en;
rdfs:range xsd:string.
food:intent a food:event ;
rdfs:label "intent" .
rdfs:comment "When the event should happen"@en.
food:declaration a food:event ;
rdfs:label "declaration" .
rdfs:comment "When the event has already occured"@en.
food:unknownEvent a food:event ;
rdfs:label "unknown" ;
rdfs:comment "When the event is unknown in the day"@en.
"""
=========================================================================================
------------------------------ LLM Raw response -----------------------------
```json
[
{
"name": "squirre",
"quantity": "un bol",
"timeOfTheDay": "breakfast",
"event": "declaration"
},
{
"name": "myrtille",
"quantity": "une grosse poignée",
"timeOfTheDay": "breakfast",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "squirre",
"quantity": "un bol",
"timeOfTheDay": "breakfast",
"event": "declaration"
},
{
"name": "myrtille",
"quantity": "une grosse poignée",
"timeOfTheDay": "breakfast",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "squirre", "quantity": "un bol", "timeOfTheDay": "breakfast", "event": "declaration" }, { "name": "myrtille", "quantity": "une grosse poignée", "timeOfTheDay": "breakfast", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'squirre', 'quantity': 'un bol', 'timeOfTheDay': 'breakfast', 'event': 'declaration'}, {'name': 'myrtille', 'quantity': 'une grosse poignée', 'timeOfTheDay': 'breakfast', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'squirre', 'quantity': 'un bol', 'timeOfTheDay': 'breakfast', '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 '% squirre %' 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 '% squirre %' AND V_NormTrademark LIKE '%%'
-------------------------------------------
------ERROR--------------------------------
No solution for query: 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 '% squirre %' AND V_NormTrademark LIKE '%%'
-------------------------------------------
-------------------------------------------
----------- result to be analyzed -----------
{'name': 'myrtille', 'quantity': 'une grosse poignée', 'timeOfTheDay': 'breakfast', '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 '% myrtille %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Myrtille - myrtille - crue - - 0 - - - CIQ#ffc0468810bbc3f659ff770ef320b86e
Tarte aux Myrtilles - tarte au myrtille - aux myrtilles - - 0 - - - KCA#3bfa571d2389b04a54b69ea18dfaee1d
Muffin, aux Myrtilles ou au Chocolat - muffin au myrtille ou chocolat - - - 134 - - - KCA#05cd9c979ff387db33227bf459139885
Confiture de Myrtilles - confiture de myrtille - extra ou classique - - 0 - - - CIQ#6fafaf70d20aef30be6e54d58fe9c169
Porridge aux Poires Pochées et Myrtilles - porridge au poire pochee myrtille - - - 273 - - - KCA#7811c01dac01085f7e84eceadffdb9b8
----------------------------------------------------
ERROR: Wrong quantity: '2 gros poigne'
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': "Ce matin j'ai mangé un bol de squirre une grosse poignée de myrtille", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4-0125-preview', 'solutions': {'nutrition': [{'name': 'Myrtille', 'normName': ' myrtille ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 0, 'id': 'CIQ#ffc0468810bbc3f659ff770ef320b86e', 'quantity': 'une grosse poignée', 'quantityLem': '1 gros poigne', 'pack': ['LEG.w150'], 'type': '', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 5.9622642993927}
----------------------------------------------------------------------------------
LLM CPU Time: 5.9622642993927