Input path: /home/debian/html/nutritwin/output_llm/680cb6be4b3a0/input.json
Output path: /home/debian/html/nutritwin/output_llm/680cb6be4b3a0/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/680cb6be4b3a0/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": "carottes râpées",
"quantity": "une assiette",
"type": "food",
"event": "declaration"
},
{
"name": "tomates cerises",
"quantity": "plusieurs",
"type": "food",
"event": "declaration"
},
{
"name": "parmesan",
"quantity": "plusieurs morceaux",
"type": "food",
"event": "declaration"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "carottes râpées",
"quantity": "une assiette",
"type": "food",
"event": "declaration"
},
{
"name": "tomates cerises",
"quantity": "plusieurs",
"type": "food",
"event": "declaration"
},
{
"name": "parmesan",
"quantity": "plusieurs morceaux",
"type": "food",
"event": "declaration"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[
{
"name": "carottes r\u00e2p\u00e9es",
"quantity": "une assiette",
"type": "food",
"event": "declaration"
},
{
"name": "tomates cerises",
"quantity": "plusieurs",
"type": "food",
"event": "declaration"
},
{
"name": "parmesan",
"quantity": "plusieurs morceaux",
"type": "food",
"event": "declaration"
}
]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'carottes râpées', 'quantity': 'une assiette', 'type': 'food', 'event': 'declaration'}, {'name': 'tomates cerises', 'quantity': 'plusieurs', 'type': 'food', 'event': 'declaration'}, {'name': 'parmesan', 'quantity': 'plusieurs morceaux', 'type': 'food', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'carottes râpées', 'quantity': 'une assiette', '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 '% carotte rapee %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Carottes Rapées - carotte rapee - - - 11844 - - - KCA#5bab4982631307ce183c664c08e55546
Carottes Rapées - carotte rapee - à l'Orange - - 32 - - - KCA#73ce70cd5efc3dc60888616fadfd35af
Carottes Râpées Nature - carotte rapee nature - - - 1074 - - - KCA#08362e84e9b96863e50aef4a65b95bf4
Carotte Râpée à la Vinaigrette - carotte rapee vinaigrette - - - 1371 - - - KCA#550aab930f59f61f6d4b015c1f19f2a7
----------------------------------------------------
----------- result to be analyzed -----------
{'name': 'tomates cerises', 'quantity': 'plusieurs', '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 '% tomate cerise %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0
Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216
Tomates Cerises Rôties aux Broccolinis - tomate cerise rotie au broccolini - et graines de citrouille - - 7 - - - KCA#b4e4bc20b89f5f2678a4843a5d0f40ea
----------------------------------------------------
ERROR: no solution for picto in the first solution
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'parmesan', 'quantity': 'plusieurs morceaux', '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 '% parmesan %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Parmesan - parmesan - - - 0 - - - KCA#fae0e5fbea5d01848c4a1a151cfeffc3
Soupe au Parmesan - soupe parmesan - au parmesan - - 0 - - - KCA#e1ecae3e9155e0db4a179db8f1e6e457
Asperges au Parmesan - asperge parmesan - - - 67 - - - KCA#a127db60c903b37982601b9e36b76706
Torsades au Parmesan - torsade parmesan - et aux graines de Pavot - - 15 - - - KCA#3e830ae45227519c360729235abd088a
Croquettes de Pomme de Terre au Parmesan - croquette de pomme de terre parmesan - - - 16 - - - KCA#1a8ca7a877d4a38b488d84f4422b572d
----------------------------------------------------
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': '', 'model': 'mistral-large-2411', 'imagePath': '/home/debian/html/nutritwin/output_llm/680cb6be4b3a0/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Carottes Rapées', 'normName': ' carotte rapee ', 'comment': '', 'normComment': '', 'rank': 11844, 'id': 'KCA#5bab4982631307ce183c664c08e55546', 'quantity': 'une assiette', 'quantityLem': '1 assiette', 'pack': ['APL.w150', 'BA1.w150.p2'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'APL-100', 'posiNormName': 0}, {'name': 'Tomate Cerise', 'normName': ' tomate cerise ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 0, 'id': 'CIQ#9f76e2172737f480f1c9b66f3627bfb0', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['CER.w150'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Parmesan', 'normName': ' parmesan ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'KCA#fae0e5fbea5d01848c4a1a151cfeffc3', 'quantity': 'plusieurs morceaux', 'quantityLem': 'plusieur morceau', 'pack': ['CSS.w20', 'GRU.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.182571172714233}
----------------------------------------------------------------------------------
LLM CPU Time: 4.182571172714233