Input path: /home/debian/html/nutritwin/output_llm/660edad2ea496/input.json
Output path: /home/debian/html/nutritwin/output_llm/660edad2ea496/output.json
Input text: Brioche
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: Brioche
==================================================================================================================================
==================================== Prompt =============================================
Identify in this list of intents: ["Capture the user food consumption", "Capture the user physical activity", "Other intent"], the intents of the prompt: ###Brioche###.
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: "Brioche".
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.
In the name, ignore the level of cooking mode.
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, I've analyzed the sentence "Brioche". However, the sentence is quite simple and does not provide much context. Here's the information I could extract:
```json
[
{
"name": "Brioche",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "boulangerie",
"time": "unknown",
"event": "unknown"
}
]
```
Explanation:
- Name: The food item mentioned is "Brioche".
- Quantity: No quantity was specified in the sentence.
- Cooking: The cooking method was not mentioned in the sentence.
- Brand: No specific brand was mentioned for the Brioche.
- Company: No company was mentioned in the sentence.
- Type: Brioche is a type of pastry, which falls under "boulangerie" (bakery) in French.
- Time: The time of eating was not specified in the sentence.
- Event: The event (intent, declaration, unknown) could not be determined from the sentence as it does not indicate whether the consumption of Brioche is in the past, future, or present.
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, I've analyzed the sentence "Brioche". However, the sentence is quite simple and does not provide much context. Here's the information I could extract:
```json
[
{
"name": "Brioche",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "boulangerie",
"time": "unknown",
"event": "unknown"
}
]
```
Explanation:
- Name: The food item mentioned is "Brioche".
- Quantity: No quantity was specified in the sentence.
- Cooking: The cooking method was not mentioned in the sentence.
- Brand: No specific brand was mentioned for the Brioche.
- Company: No company was mentioned in the sentence.
- Type: Brioche is a type of pastry, which falls under "boulangerie" (bakery) in French.
- Time: The time of eating was not specified in the sentence.
- Event: The event (intent, declaration, unknown) could not be determined from the sentence as it does not indicate whether the consumption of Brioche is in the past, future, or present.
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "Brioche", "quantity": "", "cooking": "", "brand": "", "company": "", "type": "boulangerie", "time": "unknown", "event": "unknown" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'Brioche', 'quantity': '', 'cooking': '', 'brand': '', 'company': '', 'type': 'boulangerie', 'time': 'unknown', 'event': 'unknown'}], 'cost': 0.06336}
--------------------------------------------------------------------------------
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: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': 'Brioche', 'intents': ['Capture the user food consumption'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Brioche', 'normName': ' brioche ', 'comment': '', 'normComment': '', 'rank': 7170, 'id': 'KCA#6f56d766751cbb846dcd344404a87f36', 'quantity': '', 'quantityLem': '', 'pack': ['TR1.w30'], 'type': 'boulangerie', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': []}, 'cputime': 7.205591201782227}
----------------------------------------------------------------------------------
LLM CPU Time: 7.205591201782227