Input path: /home/debian/html/nutritwin/output_llm/6715f2e7afee2/input.json
Output path: /home/debian/html/nutritwin/output_llm/6715f2e7afee2/output.json
Input text: Ce matin j'ai mangé une cuillère à soupe de houmous.
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 une cuillère à soupe de houmous.
==================================================================================================================================
==================================== 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 une cuillère à soupe de houmous.###.
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 une cuillère à soupe de houmous.""" 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": "houmous",
"quantity": "une cuillère à soupe",
"type": "food",
"timeOfTheDay": "breakfast",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "houmous",
"quantity": "une cuillère à soupe",
"type": "food",
"timeOfTheDay": "breakfast",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "houmous", "quantity": "une cuillère à soupe", "type": "food", "timeOfTheDay": "breakfast", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'houmous', 'quantity': 'une cuillère à soupe', 'type': 'food', 'timeOfTheDay': 'breakfast', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'houmous', 'quantity': 'une cuillère à soupe', 'type': 'food', '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 '% houmou %' 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 '% houmou %' AND V_NormTrademark LIKE '%%'
------------- Found solution (max 20) --------------
Salade Veggie - salade veggie - - Starbucks - 0 - 3700365098328 - 3700365098328 - OFF#6682761a2b307bfc6702a14fa27a18e1
Salade de Falafel et de Boulgour de Blé - salade de falafel de boulgour de ble - - Marks & Spencer - 0 - 61370944 - 61370944 - OFF#d4d42afc8e08d36350009f093bdfcfd0
Houmous - houmou - - Carrefour - 0 - 03356639 - 03356639 - OFF#f6b750163e5a60b8acea667d7fd6a72b
Houmous - houmou - - Leader Price - 0 - 09436114 - 09436114 - OFF#bad1b984ac1bcf84dba37f4d18fd06c1
Houmous - houmou - - Agrial - 0 - 12802233 - 12802233 - OFF#82a17c956e432f85afc2c6ee00373681
Houmous - houmou - - U - 0 - 3256220269735 - 3256220269735 - OFF#1821bc8c4cc9518f0941bbbdc1e84f4c
Houmous - houmou - - Cora - 0 - 3257982267519 - 3257982267519 - OFF#87ff61fe77e5e17f825c246dfbbc7f72
Houmous - houmou - - Franprix - 0 - 3263858771417 - 3263858771417 - OFF#7c4025c788fe60c6528688f1df7a263e
Houmous - houmou - - Picard - 0 - 3270160890361 - 3270160890361 - OFF#a4e72b1578fa01329db4d527647b74b1
Houmous - houmou - - Monoprix - 0 - 3350030167516 - 3350030167516 - OFF#8fc27bd063bf800156eaa0aa2537b737
Houmous - houmou - - Bio Village - 0 - 3564707136723 - 3564707136723 - OFF#6a43ad51f44348a46b0e3db59464d81f
Houmous - houmou - - Auchan - 0 - 3596710401222 - 3596710401222 - OFF#4f91c3f202e8ace61182bdd512d18c47
Houmous - houmou - - Weight Watchers - 0 - 3663219007863 - 3663219007863 - OFF#cd86bbac902f3ac01f05504bd7185f33
Houmous - houmou - - Naturalia - 0 - 3700036906969 - 3700036906969 - OFF#93749f78553d7a63b18e45492793bc59
Houmous - houmou - - Lidl - 0 - 3760074799695 - 3760074799695 - OFF#a0dfe3a3b20a5d80193c7a6cefbcdd89
Houmous - houmou - - Delhaize - 0 - 5400112347201 - 5400112347201 - OFF#6622d3f2ddf9154ce04f1ee8e5905b61
Houmous - houmou - - Spar - 0 - 5400210067964 - 5400210067964 - OFF#bc9a0863ee65558b0819a61d037dc7ae
Houmous - houmou - - Carrefour - 0 - 3560071010522 - 03356639 - OFF#f03b819c5664ddbb0c8cb4f135877d42
Houmous - houmou - - Carrefour - 0 - 3560071239626 - 03356639 - OFF#f6fcc2a4b2683f349493904dc0e7ea4d
Houmous - houmou - - Carrefour - 0 - 3560070712304 - 03356639 - OFF#6c2d5e76d23f4838b1e35ffcc63d0da6
----------------------------------------------------
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': "Ce matin j'ai mangé une cuillère à soupe de houmous.", 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Salade Veggie', 'normName': ' salade veggie ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#6682761a2b307bfc6702a14fa27a18e1', 'quantity': 'une cuillère à soupe', 'quantityLem': '1 cuillere soupe', 'pack': ['BOS.w320'], 'type': 'food', 'gtin': '3700365098328', 'gtinRef': '3700365098328', 'brand': 'Starbucks', 'time': 'breakfast', 'event': 'declaration', 'serving': '', 'posiNormName': -1}], 'activity': [], 'response': {}}, 'cputime': 1.681861162185669}
----------------------------------------------------------------------------------
LLM CPU Time: 1.681861162185669