Input path: /home/debian/html/nutritwin/output_llm/690c87c154c02/input.json
Output path: /home/debian/html/nutritwin/output_llm/690c87c154c02/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/690c87c154c02/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": "deux tranches",
"type": "food",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "jambon",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "café",
"quantity": "une tasse",
"type": "beverage",
"event": "declaration"
},
{
"name": "vin",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{
"name": "pain",
"quantity": "deux tranches",
"type": "food",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "jambon",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "café",
"quantity": "une tasse",
"type": "beverage",
"event": "declaration"
},
{
"name": "vin",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[
{
"name": "pain",
"quantity": "deux tranches",
"type": "food",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "jambon",
"quantity": "une tranche",
"type": "food",
"event": "declaration"
},
{
"name": "caf\u00e9",
"quantity": "une tasse",
"type": "beverage",
"event": "declaration"
},
{
"name": "vin",
"quantity": "un verre",
"type": "beverage",
"event": "declaration"
}
]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'pain', 'quantity': 'deux tranches', 'type': 'food', 'event': 'declaration'}, {'name': 'fromage', 'quantity': 'une tranche', 'type': 'food', 'event': 'declaration'}, {'name': 'jambon', 'quantity': 'une tranche', 'type': 'food', 'event': 'declaration'}, {'name': 'café', 'quantity': 'une tasse', 'type': 'beverage', 'event': 'declaration'}, {'name': 'vin', 'quantity': 'un verre', 'type': 'beverage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'pain', 'quantity': 'deux tranches', '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': 'fromage', '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 '% fromage %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Fromage - fromage - - - 23096 - - - KCA#e2646df35885ba5fc75c406a551c9fbc
Fromage 45% MG - fromage 45% mg - - - 6874 - - - KCA#14ed2b0745972d44df97c5d52a44ac69
Fromage 20% MG - fromage 20% mg - - - 1124 - - - KCA#e32d6c98bf1d5f0a3c853a8f6bb7c3b3
Fromage 70% MG - fromage 70% mg - - - 494 - - - KCA#351b50fec02ae7c43d964985ac9086c6
Fromage de Tête - fromage de tete - - - 258 - - - CIQ#a80997979cdf84066ed5ed98f0291aef
Fromage de Chèvre - fromage de chevre - - - 4537 - - - KCA#87a40b8f006dcb11aafd4e97014ed3f4
Fromage de Brebis - fromage de brebi - pâte pressée - - 0 - - - KCA#58787aec327646598cc7785b49eea77a
Fromage de Brebis - fromage de brebi - pâte molle à croûte fleurie - - 0 - - - KCA#a463c1fc485a4f9d296ce6817ce2c361
Fromage de Chèvre - fromage de chevre - lactique affiné, au lait cru type Crottin - - 250 - - - KCA#2c01ba493c1fac82cabb393f8f3648a7
Fromage Frais 0% MG - fromage frai 0% mg - - - 519 - - - KCA#88f1992eded597fa4d19465f74683774
Fromage Fondu 25% MG - fromage fondu 25% mg - - - 3246 - - - KCA#d149670a9548a1b193a2c41eca41b75f
Fromage Frais 30% MG - fromage frai 30% mg - - - 145 - - - KCA#7925728898a08e85f13745b60bc71320
Fromage Fondu 45% MG - fromage fondu 45% mg - - - 95 - - - KCA#6d8e1e183c61d211654c306cf3835256
Fromage Frais 20% MG - fromage frai 20% mg - - - 81 - - - KCA#0c277d2e26315ef0b610a1ac6f0b2c8f
Fromage Fondu 70% MG - fromage fondu 70% mg - - - 55 - - - KCA#4310db392dfdcff70718326fee922034
Fromage Fondu 65% MG - fromage fondu 65% mg - - - 52 - - - KCA#df8a055eb661bce01be58e63581e3ace
Fromage Blanc Nature - fromage blanc nature - 0% MG - - 24178 - - - CIQ#36c17f9437be97fba469ea7cd5441d75
Fromage Blanc Nature - fromage blanc nature - 3% MG environ - - 10606 - - - CIQ#4a1c07f162d63ff83801c1fb767aafcf
Fromage Blanc Nature - fromage blanc nature - gourmand, 8% MG environ - - 0 - - - CIQ#4ec95c0d5d5444677063a6486af1e1c9
Fromage Fondu aux Noix - fromage fondu au noix - - - 23 - - - KCA#849bff96c14abb755613ff11508fe7c9
----------------------------------------------------
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'jambon', '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 '% jambon %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Jambon Cru - jambon cru - - - 9885 - - - CIQ#64b8482a5f9494f91650a6dfbb0cd41e
Jambon Sec - jambon sec - - - 0 - - - CIQ#96c8fe38103fc721a15cfe55d6e25c6f
Jambon Cru - jambon cru - fumé - - 268 - - - CIQ#5f3f73264b7c8e8500821bffaac09aee
Jambon Sec - jambon sec - découenné, dégraissé - - 293 - - - CIQ#25959c69f01c1f2120ccc677017fa727
Jambon Cru - jambon cru - fumé, allégé en matière grasse - - 0 - - - CIQ#f647a53f900ffb0f8b6bcc1b9daac3fd
Jambon Fumé - jambon fume - - - 1235 - - - KCA#b89a3b14af6277985c3d77e8a43fd3a7
Jambon Cuit - jambon cuit - fumé - - 130 - - - CIQ#17ca7e15b0319f1e287cbd0bcf02e149
Jambon Cuit - jambon cuit - choix - - 0 - - - CIQ#31a3ba17bd765304c35083900245a906
Jambon Cuit - jambon cuit - supérieur - - 879 - - - CIQ#62b09fb38df99e94d05d097272b0f943
Jambon Cuit - jambon cuit - choix, avec couenne - - 0 - - - CIQ#c197beb44fda0f03581cdd01ee751078
Jambon Cuit - jambon cuit - supérieur, découenné - - 0 - - - CIQ#a4feb0298e2ed9bf7086021f843d5542
Jambon Cuit - jambon cuit - supérieur, avec couenne - - 0 - - - CIQ#44f954aa2607fc98de99e42c7a2f34f0
Jambon Cuit - jambon cuit - choix, découenné dégraissé - - 0 - - - CIQ#1bdbfa77737e32f3afd8b85235c13da8
Jambon Cuit - jambon cuit - de Paris, découenné dégraissé - - 0 - - - CIQ#2204461860d60e77475581012d525590
Jambon Cuit - jambon cuit - supérieur, découenné dégraissé - - 0 - - - CIQ#7fe80de772280767444b552c0124ab0f
Jambon Cuit - jambon cuit - supérieur, à teneur réduite en sel - - 0 - - - CIQ#f6e3b7457066170ebc96fe96171fba23
Jambon Blanc - jambon blanc - - - 41088 - - - KCA#a2c3580fad4917288fe40406fb88cadb
Jambon Bayonne - jambon bayonne - - - 2108 - - - KCA#a7501ed926d61fc6282a9dc417593554
Jambon Persillé - jambon persille - - - 315 - - - KCA#a68e12a46f2795c6c267b411dd8111f4
Jambon de Poulet - jambon de poulet - - - 5421 - - - KCA#8a8c7fe60575ff37bd0a2f58c58a75a0
----------------------------------------------------
----------- result to be analyzed -----------
{'name': 'café', 'quantity': 'une tasse', '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 '% cafe %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Café - cafe - instantané, non sucré, prêt à boire - - 0 - - - CIQ#264e95338204dca4258b74b77eb82c9d
Café - cafe - non instantané, non sucré, prêt à boire - - 0 - - - CIQ#3c8ab223f148936c6d387b43adfd13fd
Café Noir - cafe noir - sucré - - 41467 - - - KCA#4340bea443e4a31592a29591931d64f4
Café Noir - cafe noir - non sucré - - 48621 - - - KCA#7783b77c6af961856829a78ae941e4f5
Café Crème - cafe creme - - - 795 - - - KCA#0fb4970e6ac2d812b39e89ee8fd4d737
Café Liégois - cafe liegoi - - - 213 - - - KCA#c4757bb9d7b5ef114a1b9111b15b705d
Café au Lait - cafe lait - entier sucré - - 686 - - - KCA#79a7269ac953a86d5d8964ee0f4152db
Café au Lait - cafe lait - écrémé sucré - - 653 - - - KCA#cea770a189e838bbc39e36cf537abb5a
Café au Lait - cafe lait - 1/2 écrémé sucré - - 15199 - - - KCA#138ec7dba7fa585306b852c3f7e0a463
Café au Lait - cafe lait - écrémé non sucré - - 6369 - - - KCA#eefa4e0f868d9c342316060e62f23159
Café au Lait - cafe lait - entier non sucré - - 1063 - - - KCA#766d75aba9738d735cfb5303e24e0712
Café au Lait - cafe lait - 1/2 écrémé non sucré - - 21616 - - - KCA#e8f1a390014f879ed671041ebfeb6366
Café Soluble - cafe soluble - reconstitué non sucré - - 90 - - - KCA#0c31272ac325fe94fd9d5005ecb8ac13
Café au Lait - cafe lait - café crème ou cappuccino, instantané ou non, non sucré, prêt à boire - - 0 - - - CIQ#61667259d09a30eac4d1919dafb0f043
Café Noisette - cafe noisette - - - 971 - - - KCA#0fc9cdc7bb8a494e3e53719b2bee98c8
Café Expresso - cafe expresso - non instantané, non sucré, prêt à boire - - 5358 - - - CIQ#71484d6749acf1476e8d6abb42471db7
Café Décaféiné - cafe decafeine - sucré - - 984 - - - KCA#8a390d02b1d614cdea70649e29d1eb33
Café Décaféiné - cafe decafeine - instantané, non sucré, prêt à boire - - 0 - - - CIQ#74256f0fb8c48036bc45f36ec358fe89
Café Décaféiné - cafe decafeine - non instantané, non sucré, prêt à boire - - 0 - - - CIQ#ee0c2c2c94c61b5486ce3cdc38d75906
Café Poudre Soluble - cafe poudre soluble - - - 735 - - - KCA#4e1ee649d6587af50fb6c6c59ba70334
----------------------------------------------------
----------- 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/690c87c154c02/capture.jpg', 'intents': ['Identify foods and beverages in an image'], 'solutions': {'nutrition': [{'name': 'Pain', 'normName': ' pain ', 'comment': '', 'normComment': '', 'rank': 261532, 'id': 'CIQ#78316c0b820d8f80c640c9d0bc741c50', 'quantity': 'deux tranches', 'quantityLem': '2 tranche', 'pack': ['PAI.w60', 'BAG.w60', 'TPA.w30'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TPA-200', 'posiNormName': 0}, {'name': 'Fromage', 'normName': ' fromage ', 'comment': '', 'normComment': '', 'rank': 23096, 'id': 'KCA#e2646df35885ba5fc75c406a551c9fbc', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['CAM.w20', 'GRU.w20', 'MIM.w20', 'ROC.w20', 'CH2.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Jambon Cru', 'normName': ' jambon cru ', 'comment': '', 'normComment': '', 'rank': 9885, 'id': 'CIQ#64b8482a5f9494f91650a6dfbb0cd41e', 'quantity': 'une tranche', 'quantityLem': '1 tranche', 'pack': ['TR3.w25'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TR3-100', 'posiNormName': 0}, {'name': 'Café', 'normName': ' cafe ', 'comment': 'instantané, non sucré, prêt à boire', 'normComment': ' instantane non sucre pret boire ', 'rank': 0, 'id': 'CIQ#264e95338204dca4258b74b77eb82c9d', 'quantity': 'une tasse', 'quantityLem': '1 tasse', 'pack': ['TA2', 'TA3'], 'type': 'beverage', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'declaration', 'serving': 'TA2-100', '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': 4.616649866104126}
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LLM CPU Time: 4.616649866104126