Input path: /home/debian/html/nutritwin/output_llm/685283fd5e109/input.json
Output path: /home/debian/html/nutritwin/output_llm/685283fd5e109/output.json
Input text:
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:
==================================================================================================================================
Image to be analyzed: /home/debian/html/nutritwin/output_llm/685283fd5e109/capture.jpg
##############################################################################################
# For image extraction, pixtral-large-2411 is used #
##############################################################################################
==================================== Prompt =============================================
In the image, identify all the foods and beverages, convert them into an array of JSON with consumed foods.
Ignore what it is not connected to nutrition, beverage or food.
When a food or a beverage has several instances unify them on a single food or beverage and add the quantities of each.
The attribute name must remain in English but the result, so the attribute value, must be in french, and only in french.
Provide a solution without explanation.
Use only the food & beverage 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...).
Ignore food or beverage when it is not consumed in the past, now or in the future.
The cooking mode is not in the name. The name is only in french."""@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 is only in french. Here are examples: '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. The cooking method is in french."@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 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.
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.
"""
Here is an example of result:
[
{
"name": "blanquette de veau",
"quantity": "un plat",
"cookingMethod": "mijot\u00e9",
"timeOfTheDay": "lunch",
"company": "Leclerc",
"type": "food",
"event": "declaration"
},
{
"name": "eau",
"brand": "Evian",
"company": "Danone",
"timeOfTheDay": "breakfast",
"quantity": "un verre",
"type": "beverage",
"event": "intent"
}
]
=========================================================================================
------------------------------ LLM Raw response -----------------------------
[
{
"name": "eau",
"quantity": "une bouteille",
"type": "beverage",
"event": "declaration",
"brand": "Cristaline",
"company": "Roxane"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "eau",
"quantity": "une bouteille",
"type": "beverage",
"event": "declaration",
"brand": "Cristaline",
"company": "Roxane"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[
{
"name": "eau",
"quantity": "une bouteille",
"type": "beverage",
"event": "declaration",
"brand": "Cristaline",
"company": "Roxane"
}
]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'eau', 'quantity': 'une bouteille', 'type': 'beverage', 'event': 'declaration', 'brand': 'Cristaline', 'company': 'Roxane'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'eau', 'quantity': 'une bouteille', 'type': 'beverage', 'event': 'declaration', 'brand': 'Cristaline', 'company': 'Roxane'}
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 '% eau %' AND V_NormTrademark LIKE '%cristaline%'
------------- Found solution (max 20) --------------
Eau Minérale - eau minerale - - Cristaline - 0 - 6194001800807 - 6194001800807 - OFF#85c6bf52dce7a50aa244fdf41a8a4f3c
Eau de Source - eau de source - - Cristaline - 0 - 14154867 - 14154867 - OFF#741b3670398293892273904fb833ee21
Eau de Source - eau de source - - Cristaline - 0 - 3254381021810 - 14154867 - OFF#a33c3052a1d4df42488bcc18690692a3
Eau de Source - eau de source - - Cristaline - 0 - 6181100360066 - 14154867 - OFF#1499b3689b15559764bb884ea8dfa331
Eau de Source - eau de source - - Cristaline - 0 - 3274080005003 - 14154867 - OFF#33948b4b7b0480ecf07e2c5c7046ad4a
Eau Pêche Pomme Poire - eau peche pomme poire - - Cristaline - 0 - 3254381055563 - 3254381055563 - OFF#dc41d8702cc68b4a39e7a921d8b27183
Eau Minérale Naturelle - eau minerale naturelle - - Cristaline - 0 - 6194001801101 - 6194001801101 - OFF#bb514a92a88daed8ed5287d05ec5e610
Eau de Source Gazeifiée - eau de source gazeifiee - - Cristaline - 0 - 3254381029229 - 3254381029229 - OFF#8acf2a97cf51a61504e9b879ed361cb8
Eau de Source Cristaline - eau de source cristaline - - Cristaline - 0 - 3274080005942 - 3274080005942 - OFF#c8feeb6e04d0660e34cb5b9e35510249
Eau de Source Gazeifiee Citron Vert - eau de source gazeifiee citron vert - - Cristaline - 0 - 3254381056812 - 3254381056812 - OFF#3d7cebc3c6ccbe48a586fb4e286d8a07
Boisson à l'Eau de Source Cristaline - boisson eau de source cristaline - - Cristaline - 0 - 3254381058700 - 3254381058700 - OFF#014e211671e0c7cc425cc8b498bf578a
----------------------------------------------------
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/685283fd5e109/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Eau Minérale', 'normName': ' eau minerale ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#85c6bf52dce7a50aa244fdf41a8a4f3c', 'quantity': 'une bouteille', 'quantityLem': '1 bouteille', 'pack': ['BI4', 'BI3'], 'type': 'beverage', 'gtin': '6194001800807', 'gtinRef': '6194001800807', 'brand': 'Cristaline', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.322664499282837}
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LLM CPU Time: 3.322664499282837