Input path: /home/debian/html/nutritwin/output_llm/679f6b7c378cf/input.json
Output path: /home/debian/html/nutritwin/output_llm/679f6b7c378cf/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/679f6b7c378cf/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": "gâteau au chocolat",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "chocolat",
"quantity": "un",
"brand": "Mars",
"type": "food",
"event": "declaration"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "gâteau au chocolat",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "chocolat",
"quantity": "un",
"brand": "Mars",
"type": "food",
"event": "declaration"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[
{
"name": "g\u00e2teau au chocolat",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "chocolat",
"quantity": "un",
"brand": "Mars",
"type": "food",
"event": "declaration"
}
]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'gâteau au chocolat', 'quantity': 'une tranche', 'type': 'food', 'event': 'declaration'}, {'name': 'chocolat', 'quantity': 'un', 'brand': 'Mars', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'gâteau au chocolat', 'quantity': 'une tranche', '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 '% gateau chocolat %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Gâteau au Chocolat - gateau chocolat - coeur fondant, , rayon frais - - 0 - - - CIQ#ce7c5c64d55a35b35f32a3c3278cdf2a
----------------------------------------------------
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'chocolat', 'quantity': 'un', 'brand': 'Mars', '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 '% chocolat %' AND V_NormTrademark LIKE '%mars%'
------------- Found solution (max 20) --------------
Chocolat au Lait Fourré de Confiserie et Caramel - chocolat lait fourre de confiserie caramel - - Mars - 0 - 5000159461276 - 5000159461276 - OFF#63174eba17a7662b8513b015a88ca51b
Mars Chocolat au Lait - mar chocolat lait - - Mars - 0 - 5900951257049 - 5900951257049 - OFF#6cbd6900b8d644fb28715c7421559c58
Bounty Minis Chocolat Noir - bounty mini chocolat noir - - Mars - 0 - 5000159495387 - 5000159495387 - OFF#463a3415fe319e0e1e38514f95401acf
M M'S Mint M M'S à la Menthe et Chocolat Noir - mint menthe chocolat noir - - Mars - 0 - 0040000473671 - 0040000473671 - OFF#181f79be6e4464012b1f603dbdce46a2
Mm'S Cookies Double Chocolat - mm cookie double chocolat - - Mars - 0 - 5060402907685 - 5060402907685 - OFF#b39b9eec6ce483161bfb1508b05836c7
Intense 65% de Cacao Chocolat Noir et Cacahuète - intense 65% de cacao chocolat noir cacahuete - - Mars - 0 - 5900951139567 - 5900951139567 - OFF#da6b57ad213201296e69af5cbb287624
Signature Craquant Amande Chocolat Noir - signature craquant amande chocolat noir - - Mars - 0 - 5000159498616 - 5000159498616 - OFF#af38236d70c15ac85cf409710a179e7e
Celebrations Assortiment de Chocolats - celebration assortiment de chocolat - - Mars - 0 - 5000159391849 - 5000159391849 - OFF#ca71ff9f1afbd26516727b16f91fda96
Célébrations Assortiments de Chocolats au Lait Fourrés et de Biscuits Enrobés - celebration assortiment de chocolat lait fourre de biscuit enrobe - - Mars - 0 - 5000159364560 - 5000159364560 - OFF#ae93eda08737985b46f60aea90fa8b90
----------------------------------------------------
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/679f6b7c378cf/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Gâteau au Chocolat', 'normName': ' gateau chocolat ', 'comment': 'coeur fondant, , rayon frais', 'normComment': ' coeur fondant rayon frai ', 'rank': 0, 'id': 'CIQ#ce7c5c64d55a35b35f32a3c3278cdf2a', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['BRE.w80'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Chocolat au Lait Fourré de Confiserie et Caramel', 'normName': ' chocolat lait fourre de confiserie caramel ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#63174eba17a7662b8513b015a88ca51b', 'quantity': 'un', 'quantityLem': '1', 'pack': ['BAR.w33', 'BAR.w21'], 'type': 'food', 'gtin': '5000159461276', 'gtinRef': '5000159461276', 'brand': 'Mars', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.9634509086608887}
----------------------------------------------------------------------------------
LLM CPU Time: 2.9634509086608887