Input path: /home/debian/html/nutritwin/output_llm/68c8507665a85/input.json
Output path: /home/debian/html/nutritwin/output_llm/68c8507665a85/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/68c8507665a85/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": "pain",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "vin",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "pain",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "vin",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[
{
"name": "pain",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "vin",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
}
]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'pain', 'quantity': 'une tranche', 'type': 'food', 'event': 'declaration'}, {'name': 'vin', 'quantity': 'un verre', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'pain', '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 '% pain %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Pain - pain - - - 261532 - - - CIQ#78316c0b820d8f80c640c9d0bc741c50
Pain - pain - sans gluten - - 29 - - - CIQ#9d6a800b4a9dbe9504fb68b26057ad7b
Pain - pain - baguette, courante - - 0 - - - CIQ#c92016dc98d790db0bc7c949d601f5c2
Pain - pain - baguette ou boule, au levain - - 0 - - - CIQ#4b65f0348cbdd1f29daadea789369616
Pain - pain - baguette ou boule, de campagne - - 0 - - - CIQ#665da1982ec8e7e74501d57dc7e111b8
Pain - pain - baguette, de tradition française - - 0 - - - CIQ#e5e8a2a86b1a95d66e26a64c18c0b520
Pain - pain - baguette ou boule, bis, à la farine T80 ou T110 - - 0 - - - CIQ#233b9a74f0cc423be7b3fe6fa040567b
Pain - pain - baguette ou boule, bio, à la farine T55 jusqu'à T110 - - 0 - - - CIQ#91fae3ae1c9b87dd0039d7caa03a7d72
Pain - pain - baguette ou boule, aux céréales et graines, artisanal - - 0 - - - CIQ#5fed24621fe6dde995398f020bf84d7d
Pain Bis - pain bi - - - 77 - - - KCA#0d04d397f5620b8618c8972be2ce29a7
Pain Pita - pain pita - - - 951 - - - KCA#0a6b29619370c1e5c09e5ec16992feed
Pain Azyme - pain azyme - - - 1038 - - - KCA#90d292248257ebd4aba91b7e0f6f67d7
Pain Perdu - pain perdu - - - 783 - - - CIQ#67427fe34e70bfc99fd131b16908c1ee
Pain de Son - pain de son - - - 302 - - - KCA#3ccdb3c87985b4f83e1354ee3a2cebfd
Pain au Son - pain son - - - 0 - - - CIQ#825cc00fe7ac81ed34e142fde0f6ddf4
Pain de Mie - pain de mie - au son - - 0 - - - CIQ#1f8d06921f1e892824b0f8cef870e840
Pain de Mie - pain de mie - complet - - 7211 - - - CIQ#d93405497d2314d29dbd770c5b956eeb
Pain de Mie - pain de mie - courant - - 0 - - - CIQ#667832b5357e637fdb28760b7d6c2d8d
Pain Grillé - pain grille - domestique - - 0 - - - CIQ#f4bc68c618fb825e526db4034e88b66a
Pain de Mie - pain de mie - sans croûte - - 32 - - - CIQ#be3f663945b51703d39413cadc3becab
----------------------------------------------------
----------- result to be analyzed -----------
{'name': 'vin', '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 '% vin %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Vin Cuit - vin cuit - - - 476 - - - KCA#413dce4eebdf3fdf2076ef50ae74590b
Vin Blanc - vin blanc - - - 22924 - - - KCA#0a40d7fc7234085d12af2089c75f862b
Vin Rouge - vin rouge - - - 0 - - - CIQ#0247898eabeefe3884ee430550359cfb
Vin Rouge 9° - vin rouge 9° - - - 235 - - - KCA#9db74ea9610e574a4b5fd169739808d7
Vin Rouge 13° - vin rouge 13° - - - 27665 - - - KCA#f965995ec93171a22515f7141f3fcaec
Vin Rouge 12° - vin rouge 12° - - - 13758 - - - KCA#6576b07568c57c226d3a8a15baa81be6
Vin Rouge 10° - vin rouge 10° - - - 1065 - - - KCA#8c95a77df14a31cf02c05e7b2258cdf9
Vin Rouge 11° - vin rouge 11° - - - 996 - - - KCA#4defe56e99d409c448e479743de50aad
Vin Rouge 14° - vin rouge 14° - - - 891 - - - KCA#7b7cb654b939b936970e863f0cf9a707
Vin Rouge 15° - vin rouge 15° - - - 285 - - - KCA#522430b440ab36f2b30e37915271d575
Coq au Vin - coq vin - - - 97 - - - CIQ#588d397f09445cf782a6fd7abf34dd22
Bar au Vin Blanc - bar vin blanc - - - 30 - - - KCA#1ad8f1259ed6c3bf39ce51b22b7f6ec5
Pêches au Vin - peche vin - - - 39 - - - KCA#a59eaab7bfcb9b09ada234a6e2c1a7d3
Poule au Vin Rouge - poule vin rouge - - - 0 - - - KCA#16152425348f25d2abe48e2d55c22eca
Dorade au Vin Blanc - dorade vin blanc - - - 140 - - - KCA#31a50d86b8de5651b38155aedb86fc12
Pruneaux au Vin - pruneau vin - - - 48 - - - KCA#0d4b4d95ca0c7588288992b65d0c876a
Chipolatas au Vin Blanc - chipolata vin blanc - - - 8 - - - KCA#5fba9f7a50300f3dec74a85c0b8a3ab7
Steaks Sautés au Vin - steak saute vin - au vin - - 0 - - - KCA#3830e269f3a7cb20f83532fcaf5e9610
Vinaigre de Vin Rouge - vinaigre de vin rouge - - - 0 - - - CIQ#0e65f9a58f80513c4123cfe859bb81f5
Eau de Vie de Vin - eau de vie de vin - type armagnac, cognac - - 0 - - - CIQ#c0440021ea15aa2abf11853bbd2191a4
----------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/68c8507665a85/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pain', 'normName': ' pain ', 'comment': '', 'normComment': '', 'rank': 261532, 'id': 'CIQ#78316c0b820d8f80c640c9d0bc741c50', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['PAI.w60', 'BAG.w60', 'TPA.w30'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TPA-100', 'posiNormName': 0}, {'name': 'Vin Cuit', 'normName': ' vin cuit ', 'comment': '', 'normComment': '', 'rank': 476, 'id': 'KCA#413dce4eebdf3fdf2076ef50ae74590b', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['VAA'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'VAA-100', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 2.3113980293273926}
----------------------------------------------------------------------------------
LLM CPU Time: 2.3113980293273926