Input path: /home/debian/html/nutritwin/output_llm/6620de4738d96/input.json
Output path: /home/debian/html/nutritwin/output_llm/6620de4738d96/output.json
Input text: J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml
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: J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml
==================================================================================================================================
==================================== Prompt =============================================
Identify in this list of intents: ["Capture the user food consumption", "Capture the user physical activity", "Answer a nutrition question", "Other intent"], the intents of the prompt: ###J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
{
"intents": ["Capture the user food consumption"]
}
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
{
"intents": ["Capture the user food consumption"]
}
------------------------------------------------------
------------------------ After simplification ------------------------
{"intents": ["Capture the user food consumption"]}
----------------------------------------------------------------------
==================================== Prompt =============================================
I need to identify food information from sentences.
Analyze the following french sentence: "J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml".
I want to identify for the food or beverage: the name, the type, the quantity for each ingredient and, if it exists, identify the brand, the cooking mode and the company name.
Containers, like "canette" or "verre", are quantities and not ingredients or food product.
"Portions", like "tranche", are quantities.
"Quantity" is in french.
"Company" is the company of the brand.
"Quignon" is a quantity.
Ignore what it is not connected to nutrition, beverage or food.
Music and is not nutrition.
Extract how the product is consumed.
The level of cooking mode is not in the name.
There is no quantity in the name, ex: the name for "une pomme" is "pomme".
When brand is not specified and the product is very well-known (like "Coca-Cola"), provide the brand name in "brand", otherwise set "brand" to "".
Ignore the actions.
The restaurants are not brand.
Identify what type of food.
Ignore food with a negative verb, ex "Je n'ai pas pris de viande".
Do not extract ingredients for product with a brand.
If the food or beverage consumption is in the past, the event is a "declaration", for example: "J'ai mangé du pain", the event is a declaration.
If the food or beverage consumption will be in the future or even soon, the event is an "intent", for example: "Je vais manger du pain", the event is an intent.
Otherwise the event is unknown.
Map the event of eating on ["intent", "declaration", "unknown"].
Identify the time of day when the foods were eaten and map it on "petit-déjeuner", "déjeuner", "grignotage" or "dîner".
Format the result in french in JSON in an array of tuples {"name":, "quantity":, "cooking":, "brand":, "company":, "type":, "time":, "event":}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
Based on your instructions, here's the analysis of the sentence "J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml".
```json
[
{
"name": "quatre-quarts",
"quantity": "trois parts",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "brioche",
"quantity": "deux tartines",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "confiture",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "boisson chocolaté",
"quantity": "environ 500 ml",
"cooking": "",
"brand": "",
"company": "",
"type": "beverage",
"time": "petit-déjeuner",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, here's the analysis of the sentence "J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml".
```json
[
{
"name": "quatre-quarts",
"quantity": "trois parts",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "brioche",
"quantity": "deux tartines",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "confiture",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "food",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "boisson chocolaté",
"quantity": "environ 500 ml",
"cooking": "",
"brand": "",
"company": "",
"type": "beverage",
"time": "petit-déjeuner",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "quatre-quarts", "quantity": "trois parts", "cooking": "", "brand": "", "company": "", "type": "food", "time": "petit-déjeuner", "event": "declaration" }, { "name": "brioche", "quantity": "deux tartines", "cooking": "", "brand": "", "company": "", "type": "food", "time": "petit-déjeuner", "event": "declaration" }, { "name": "confiture", "quantity": "", "cooking": "", "brand": "", "company": "", "type": "food", "time": "petit-déjeuner", "event": "declaration" }, { "name": "boisson chocolaté", "quantity": "environ 500 ml", "cooking": "", "brand": "", "company": "", "type": "beverage", "time": "petit-déjeuner", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'quatre-quarts', 'quantity': 'trois parts', 'cooking': '', 'brand': '', 'company': '', 'type': 'food', 'time': 'petit-déjeuner', 'event': 'declaration'}, {'name': 'brioche', 'quantity': 'deux tartines', 'cooking': '', 'brand': '', 'company': '', 'type': 'food', 'time': 'petit-déjeuner', 'event': 'declaration'}, {'name': 'confiture', 'quantity': '', 'cooking': '', 'brand': '', 'company': '', 'type': 'food', 'time': 'petit-déjeuner', 'event': 'declaration'}, {'name': 'boisson chocolaté', 'quantity': 'environ 500 ml', 'cooking': '', 'brand': '', 'company': '', 'type': 'beverage', 'time': 'petit-déjeuner', 'event': 'declaration'}], 'cost': 0.0807}
--------------------------------------------------------------------------------
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 '% quatre quart %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Quatre-quarts - quatre quart - - - 0 - - - KCA#ff83aac0d814422c9568e8206ce6fd10
----------------------------------------------------
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 '% brioche %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Brioche - brioche - - - 7170 - - - KCA#6f56d766751cbb846dcd344404a87f36
Brioche - brioche - - - 0 - - - CIQ#6f56d766751cbb846dcd344404a87f36
Brioche - brioche - - - 0 - - - CIQ#6f56d766751cbb846dcd344404a87f36
Brioche - brioche - de boulangerie traditionnelle - - 0 - - - CIQ#2ae5e2bc4c76598d5bdddfa90fba49d7
Brioche - brioche - ou briochettes, aux pépites de chocolat - - 0 - - - CIQ#9ad6d89bcc6487b8053eb6078f360398
Brioche Artisanale - brioche artisanale - - - 3205 - - - KCA#8d13e66e2e4458076719307897a8eb90
Brioche Pur Beurre - brioche pur beurre - - - 0 - - - CIQ#2a5bb91ca71437c1de0d0d5c6951d89e
Brioche aux Amandes - brioche au amande - - - 183 - - - KCA#ea646358ee4723768ef79418e5025006
Brioche Préemballée - brioche preemballee - - - 17 - - - KCA#b20ad3b872e8927617d762002fb0da5c
Brioche aux Framboises - brioche au framboise - - - 17 - - - KCA#8e2dc2bf93d3540cdc397a59bb389ffd
Brioches aux Rillettes - brioche au rillette - - - 15 - - - KCA#c1a8b391ba9a908fdf3e062745beab18
Brioche Fourrée aux Fruits - brioche fourree au fruit - - - 0 - - - CIQ#c43cae8bc04e05ccab7aa1fbf912dc9e
Brioche Fourrée au Chocolat - brioche fourree chocolat - - - 0 - - - CIQ#f7a48fa4e254d2d328420c531c72f9ea
Brioche Fourrée Crème Pâtissière - brioche fourree creme patissiere - type "chinois - - 0 - - - CIQ#ff6dee6e7139690a4826b8454d802859
Brioche Individuelle en Boulangerie - brioche individuelle en boulangerie - - - 362 - - - KCA#c1c6395c25efa5bfb98dee0ba043c2d6
Pain Brioché ou Viennois - pain brioche ou viennoi - - - 0 - - - CIQ#9c2fa8d2c642f2a2a4f815d055a77675
Pain Brioché aux Fruits Rouges - pain brioche au fruit rouge - - - 179 - - - KCA#2826be87badb29c92d92822e8b6ab2da
Saucisson Brioché - saucisson brioche - - - 6 - - - CIQ#2aacf1669bcaf8c7e2a9c6945ebc97e6
Pain de Mie Brioché - pain de mie brioche - - - 39 - - - CIQ#43270a90a216c85ab3a94ad1e1b540dc
Pain Grillé Brioché - pain grille brioche - tranché - - 0 - - - CIQ#75994f4cf65a2113b0b5f889728b5d4b
----------------------------------------------------
ERROR: no solution for picto in the first solution
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 '% confiture %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Confiture - confiture - tout type de fruits, allégée en sucres, extra ou classique - - 53737 - - - CIQ#5f4c2ed2915b774d66dc3fdc2c79d576
Confiture Allégée - confiture allegee - - - 4771 - - - KCA#cbcbd871e5c12bc077c91127844d390d
Confiture d'Abricot - confiture abricot - - - 2045 - - - KCA#bd7750e2da2d1f03f7823a609548dc4d
Confiture de Fraise - confiture de fraise - extra ou classique - - 0 - - - CIQ#41b7efec1a5bddcbc9466fbd067f31bf
Confiture d'Abricot - confiture abricot - extra ou classique - - 0 - - - CIQ#7f8af9147bbf56bdfca2fb0975456e74
Confiture de Myrtilles - confiture de myrtille - extra ou classique - - 0 - - - CIQ#6fafaf70d20aef30be6e54d58fe9c169
Confiture ou Marmelade - confiture ou marmelade - tout type de fruits, aliment moyen - - 0 - - - CIQ#527194b244454ffd3017dcaf9dc444fc
Confiture ou Marmelade - confiture ou marmelade - tout type de fruits, teneur en sucre inconnue, aliment moyen - - 0 - - - CIQ#434fd1ed6d1ba3c29f3b281690f82147
Beignet à la Confiture - beignet confiture - - - 75 - - - CIQ#0cd55080bb8acc3682b2ca6955d19cfc
Barquette à la Confiture - barquette confiture - - - 235 - - - KCA#2f3f3900e6eb51f51bb41804692824c8
Tartine de Confiture - tartine de confiture - de confiture - - 0 - - - KCA#6c5c28a4f42a6ca22e6e6d39dc7c28dc
Baguette Beurre Confiture - baguette beurre confiture - - - 5301 - - - KCA#d399b90a645a52039b2f409debeaa686
Tarte Alsacienne à la Confiture - tarte alsacienne confiture - la confiture - - 0 - - - KCA#7b9ea702be358c77c2fbe92bde53ae9d
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
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 '% boisson chocolate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
Second 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_NormAggr LIKE '% boisson chocolate %' AND V_NormTrademark LIKE '%%'
-------------------------------------------
------ERROR--------------------------------
No solution for query: 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_NormAggr LIKE '% boisson chocolate %' AND V_NormTrademark LIKE '%%'
-------------------------------------------
-------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': "J'ai mangé pour le petit déjeuner trois parts de quatre-quarts deux tartines de brioche avec de la confiture et une boisson chocolaté d'environ 500 ml", 'intents': ['Capture the user food consumption'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Quatre-quarts', 'normName': ' quatre quart ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'KCA#ff83aac0d814422c9568e8206ce6fd10', 'quantity': 'trois parts', 'quantityLem': '3 part', 'pack': ['GAT.w100.p6', 'TR5.w100'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': 'GAT-38', 'posiNormName': 0}, {'name': 'Brioche', 'normName': ' brioche ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#6f56d766751cbb846dcd344404a87f36', 'quantity': 'deux tartines', 'quantityLem': '2 tartine', 'pack': ['TPA.w40'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': 'TPA-200', 'posiNormName': 0}, {'name': 'Confiture', 'normName': ' confiture ', 'comment': 'tout type de fruits, allégée en sucres, extra ou classique', 'normComment': ' tout type de fruit allegee en sucre extra ou classique ', 'rank': 53737, 'id': 'CIQ#5f4c2ed2915b774d66dc3fdc2c79d576', 'quantity': '', 'quantityLem': '', 'pack': ['CCL.w6', 'CSL.w20'], 'type': 'food', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': ''}, 'cputime': 13.504581212997437}
----------------------------------------------------------------------------------
LLM CPU Time: 13.504581212997437