Input path: /home/debian/html/nutritwin/output_llm/66e88e4c50fda/input.json
Output path: /home/debian/html/nutritwin/output_llm/66e88e4c50fda/output.json
Input text: Un verre de coca et des frites.
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: Un verre de coca et des frites.
==================================================================================================================================
==================================== 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: ###Un verre de coca et des frites.###.
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 : """Un verre de coca et des frites.""" 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. When the brand is very well-known (ex: Activia, Coca-Cola), the name is equal to the brand. 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. The brand cannot be equal to the name."@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-Cola",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
},
{
"name": "frites",
"quantity": "des",
"type": "food",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "Coca-Cola",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
},
{
"name": "frites",
"quantity": "des",
"type": "food",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "Coca-Cola", "quantity": "un verre", "type": "beverage", "event": "declaration" }, { "name": "frites", "quantity": "des", "type": "food", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'Coca-Cola', 'quantity': 'un verre', 'type': 'beverage', 'event': 'declaration'}, {'name': 'frites', 'quantity': 'des', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'Coca-Cola', 'quantity': 'un verre', '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 '% coca cola %' 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 '% coca cola %' AND V_NormTrademark LIKE '%%'
------------- Found solution (max 20) --------------
Re - re - - The Coca-Cola Company - 0 - 5038862239288 - - OFF#ee2a18c418f91ac2ff8909dc8b55c0df
Soda - soda - - The Coca-Cola Company - 0 - 5000112609608 - 5000112609608 - OFF#13d7eb865ddc60c5bc7c14a3060ce9c7
Nalu - nalu - - The Coca-Cola Company - 0 - 5449000067456 - 5449000067456 - OFF#64d634ac7ff85b6ca293a064f28acd22
Coke - coke - - The Coca-Cola Company - 0 - 0088009110418 - - OFF#76403b9d994d82c2be499a14744248e6
Soda - soda - - The Coca-Cola Company - 0 - 5000112634761 - 5000112609608 - OFF#9d35d64bcebd2b1370bfdf4368c60ef5
Oasis - oasi - - The Coca-Cola Company - 0 - 0067311028338 - 0067311028338 - OFF#7b6ea2cc74388b6944bb9c817090f014
Fanta - fanta - - The Coca-Cola Company - 0 - 5000112659610 - 5000112659610 - OFF#2cd1c5dbccdccbd27f3c2968316989e8
Pulpy - pulpy - - The Coca-Cola Company - 0 - 5449000187536 - 5449000187536 - OFF#df121a2c8d50fce4b04d334e588d6473
Hawai - hawai - - The Coca-Cola Company - 0 - 54492103 - 54492103 - OFF#937b7ea871c1aadb6dc94a39c9417c7f
Pomme - pomme - - The Coca-Cola Company - 0 - 9049000000017 - 9049000000017 - OFF#9bda3a93fb4635862d85dc12c0918f11
Oasis - oasi - - The Coca-Cola Company - 0 - 3124480100016 - 0067311028338 - OFF#94676babf8c4ea09d718964e411cba0d
Oasis - oasi - - The Coca-Cola Company - 0 - 3124480177933 - 0067311028338 - OFF#b6b336cfef262e651943b5153b4e8e55
Oasis - oasi - - The Coca-Cola Company - 0 - 3124480234902 - 0067311028338 - OFF#d990513612cee647478cbfc3baab8863
Oasis - oasi - - The Coca-Cola Company - 0 - 3287951350195 - 0067311028338 - OFF#c3251862c26d5d7a3eb818949d0c282b
Fanta - fanta - - The Coca-Cola Company - 0 - 5449000188526 - 5000112659610 - OFF#0fd97675ce300bfe48474ff5edcf7968
Fanta - fanta - - The Coca-Cola Company - 0 - 5449000000088 - 5000112659610 - OFF#e5a76692fd965e23be7ab28249ac41c3
Fanta - fanta - - The Coca-Cola Company - 0 - 90495090 - 5000112659610 - OFF#9a30c250f1976a057baa7a14c0304c3f
Orange - orange - - The Coca-Cola Company - 0 - 15006646 - 15006646 - OFF#591a1bcd3a19cad7aa20128bd334822f
Sprite - sprite - - The Coca-Cola Company - 0 - 2000000003785 - 2000000003785 - OFF#58082d044c60911a5141cb842d889bfe
So Mix - so mi - - The Coca-Cola Company - 0 - 3274661100592 - 3274661100592 - OFF#6cfdc89d235c2825655c8b24f52ff4fc
----------------------------------------------------
----------- result to be analyzed -----------
{'name': 'frites', 'quantity': 'des', '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 '% frite %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Frites 'Maison' - frite maison - - - 3422 - - - KCA#6ec1e15ff73bcad3fbd051039b73bfa2
Frites de Pommes de Terre - frite de pomme de terre - surgelées, en friteuse - - 16744 - - - CIQ#0c4d57d24137dff14aa6bf376be13ca2
Frites de Pommes de Terre - frite de pomme de terre - surgelées, rôties/cuites au four - - 0 - - - CIQ#571d6b6d0f633390e25650e96b014751
Frites de Pommes de Terre - frite de pomme de terre - surgelées, préfrites, pour cuisson en friteuse - - 0 - - - CIQ#21ddc69ae4c8625a72bf312be19b18c3
Frites de Pommes de Terre - frite de pomme de terre - surgelées, préfrites, pour cuisson micro-ondes - - 0 - - - CIQ#c18841fb320bbdc344009a2125172a51
Frites de Pommes de Terre - frite de pomme de terre - surgelées, préfrites, pour cuisson rôtie/ au four - - 0 - - - CIQ#2b65d7822d2029d73d7a8cdadd16e13a
Frites Surgelées à Cuire au Four - frite surgelee cuire four - - - 152 - - - KCA#794e98f1683c35824e6507d3fe252634
Steak Frites - steak frite - steak frites - - 0 - - - KCA#7b6b2abd661e1054cfba0cf998b2743f
Morue Frite à la Toulonnaise - morue frite toulonnaise - - - 16 - - - KCA#bd216e7cd84a2d4d1a581f9eb62190e3
Courgettes Frites - courgette frite - - - 207 - - - KCA#959d0fa787188921ad4497a575b243ab
Limande Panée Frite - limande panee frite - - - 107 - - - KCA#2c105974e5192e41d62c0780e57f7604
Pomme de Terre Frites - pomme de terre frite - - - 178 - - - KCA#d9391c743d3aee9e28d0940b17624718
Pomme de Terre Frites Cuites Non Salée - pomme de terre frite cuite non salee - - - 23 - - - KCA#f19fd72e799df4bd4db76e1e319135fd
Langoustine, Panée, Frite - langoustine panee frite - - - 7 - - - KCA#f3292cd52902facb04347cf1a7282593
----------------------------------------------------
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': 'Un verre de coca et des frites.', 'intents': ['Identify food consumption or declaration'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Re', 'normName': ' re ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#ee2a18c418f91ac2ff8909dc8b55c0df', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['VX1', 'BI4', 'VA2', 'VA3', 'GOB'], 'type': 'beverage', 'gtin': '5038862239288', 'gtinRef': '', 'brand': 'The Coca-Cola Company', 'time': '', 'event': 'declaration', 'serving': 'BI4-100', 'posiNormName': -1}, {'name': "Frites 'Maison'", 'normName': ' frite maison ', 'comment': '', 'normComment': '', 'rank': 3422, 'id': 'KCA#6ec1e15ff73bcad3fbd051039b73bfa2', 'quantity': 'des', 'quantityLem': 'des', 'pack': ['FRI.w200', 'APL.w200'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 1.8875222206115723}
----------------------------------------------------------------------------------
LLM CPU Time: 1.8875222206115723