Input path: /home/debian/html/nutritwin/output_llm/662a3ad8cc405/input.json
Output path: /home/debian/html/nutritwin/output_llm/662a3ad8cc405/output.json
Input text: J'ai mangé du riz
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 du riz
==================================================================================================================================
==================================== 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 du riz###.
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 du riz".
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, I have analyzed the sentence "J'ai mangé du riz". Here is the information extracted:
[
{
"name": "riz",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "céréale",
"time": "unknown",
"event": "declaration"
}
]
Explanation:
- The food name is "riz" (rice).
- The quantity is not specified in the sentence.
- The cooking mode is not mentioned.
- The brand is not specified and rice is not a product with a well-known specific brand.
- The company is not mentioned.
- The type of food is "céréale" (cereal).
- The time of eating is not specified in the sentence.
- The event is a "declaration" because the eating is in the past.
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, I have analyzed the sentence "J'ai mangé du riz". Here is the information extracted:
[
{
"name": "riz",
"quantity": "",
"cooking": "",
"brand": "",
"company": "",
"type": "céréale",
"time": "unknown",
"event": "declaration"
}
]
Explanation:
- The food name is "riz" (rice).
- The quantity is not specified in the sentence.
- The cooking mode is not mentioned.
- The brand is not specified and rice is not a product with a well-known specific brand.
- The company is not mentioned.
- The type of food is "céréale" (cereal).
- The time of eating is not specified in the sentence.
- The event is a "declaration" because the eating is in the past.
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "riz", "quantity": "", "cooking": "", "brand": "", "company": "", "type": "céréale", "time": "unknown", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'riz', 'quantity': '', 'cooking': '', 'brand': '', 'company': '', 'type': 'céréale', 'time': 'unknown', 'event': 'declaration'}], 'cost': 0.05688}
--------------------------------------------------------------------------------
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 '% riz %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Riz - riz - mélange de variétés, blanc, complet, rouge, sauvage,., cru - - 0 - - - CIQ#a07819c9749e64bb8fdf05c82933f975
Riz Thaï - riz thai - non salé - - 0 - - - CIQ#ac2fd71ae23ef149ca342c965d560af3
Riz Sauté - riz saute - - - 1630 - - - KCA#8a7c81299be0e4a1d8a5d55c311ac357
Riz Blanc - riz blanc - cru - - 0 - - - CIQ#5e08f294c544b6dbc1ee7d37a7eb2c96
Riz Rouge - riz rouge - cru - - 0 - - - CIQ#e52c512dd7f9b51c90d048e5efeec56e
Riz Blanc - riz blanc - non salé - - 16469 - - - CIQ#f9b73aa60d2f7f559fce98ce3ac5c13c
Riz Rouge - riz rouge - non salé - - 0 - - - CIQ#82ae14b06516b5eb3b26a705dcb698a3
Riz Blanc - riz blanc - avec poulet - - 0 - - - CIQ#c71662da3d045e64e316f472d5abd627
Riz Jaune - riz jaune - au lait de Coco - - 54 - - - KCA#fce436115e06eeddfc6a6bb946a77317
Riz Blanc - riz blanc - avec légumes et viande - - 0 - - - CIQ#e80ff9a7c8bfefe077463eba05d7d873
Riz Pilaf - riz pilaf - aux Asperges et aux Champignons - - 148 - - - KCA#51cb6cbdd6b1d60180e4df36e1900396
Riz Gluant - riz gluant - - - 670 - - - KCA#a9f8450583c586dd97516af4daa68d98
Riz Jasmin - riz jasmin - - - 515 - - - KCA#82f0e631fc5d3feb05f2cb82664429d4
Riz au Lait - riz lait - - - 2141 - - - CIQ#708312da229435845a51dc66016ac5dc
Riz Complet - riz complet - cru - - 3 - - - CIQ#64df585ce75d5d905c4e92be834170a5
Riz Sauvage - riz sauvage - cru - - 0 - - - CIQ#65668baead4ceadf6f8269416ce5cef5
Riz Basmati - riz basmati - non salé - - 0 - - - CIQ#1145ed25cb9fd225c13765c6cee54de3
Riz Complet - riz complet - non salé - - 0 - - - CIQ#d99bd2e9a1547db20db6b79a89c0c3c9
Riz Sauvage - riz sauvage - non salé - - 0 - - - CIQ#c0c548033695d9c3adf24102b29dcb1b
Riz au Coco - riz coco - au Poivron et à la Coriandre - - 95 - - - KCA#652179cc35ad46dc7fb28650f7f7d732
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
--------------------------------- final result -----------------------------------
{'prompt': "J'ai mangé du riz", 'intents': ['Capture the user food consumption'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Riz', 'normName': ' riz ', 'comment': 'mélange de variétés, blanc, complet, rouge, sauvage,., cru', 'normComment': ' melange de variete blanc complet rouge sauvage cru ', 'rank': 0, 'id': 'CIQ#a07819c9749e64bb8fdf05c82933f975', 'quantity': '', 'quantityLem': '', 'pack': ['BOR.w200', 'CSS.w20'], 'type': 'céréale', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': ''}, 'cputime': 12.88767695426941}
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LLM CPU Time: 12.88767695426941