Input path: /home/debian/html/nutritwin/output_llm/662a7b375c5c2/input.json
Output path: /home/debian/html/nutritwin/output_llm/662a7b375c5c2/output.json
Input text: Compare moi 2 framboises à une Pomme ?
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: Compare moi 2 framboises à une Pomme ?
==================================================================================================================================
==================================== 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: ###Compare moi 2 framboises à une Pomme ?###.
Format the result in JSON format: {intents: []}.
=========================================================================================
------------------------------ LLM Raw response -----------------------------
{
"intents": ["Answer a nutrition question"]
}
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
{
"intents": ["Answer a nutrition question"]
}
------------------------------------------------------
------------------------ After simplification ------------------------
{"intents": ["Answer a nutrition question"]}
----------------------------------------------------------------------
==================================== Prompt =============================================
I need to identify food information from sentences.
Analyze the following french sentence: "Compare moi 2 framboises à une Pomme ?".
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 "Compare moi 2 framboises à une Pomme ?".
The sentence is a comparison between two foods, raspberries and an apple. There's no information about the brand, cooking mode, company, time of consumption, or whether it's an intent or declaration.
Here's the formatted result:
```json
[
{
"name": "framboises",
"quantity": "2",
"cooking": "",
"brand": "",
"company": "",
"type": "fruit",
"time": "",
"event": "unknown"
},
{
"name": "pomme",
"quantity": "1",
"cooking": "",
"brand": "",
"company": "",
"type": "fruit",
"time": "",
"event": "unknown"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, here's the analysis of the sentence "Compare moi 2 framboises à une Pomme ?".
The sentence is a comparison between two foods, raspberries and an apple. There's no information about the brand, cooking mode, company, time of consumption, or whether it's an intent or declaration.
Here's the formatted result:
```json
[
{
"name": "framboises",
"quantity": "2",
"cooking": "",
"brand": "",
"company": "",
"type": "fruit",
"time": "",
"event": "unknown"
},
{
"name": "pomme",
"quantity": "1",
"cooking": "",
"brand": "",
"company": "",
"type": "fruit",
"time": "",
"event": "unknown"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "framboises", "quantity": "2", "cooking": "", "brand": "", "company": "", "type": "fruit", "time": "", "event": "unknown" }, { "name": "pomme", "quantity": "1", "cooking": "", "brand": "", "company": "", "type": "fruit", "time": "", "event": "unknown" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'framboises', 'quantity': '2', 'cooking': '', 'brand': '', 'company': '', 'type': 'fruit', 'time': '', 'event': 'unknown'}, {'name': 'pomme', 'quantity': '1', 'cooking': '', 'brand': '', 'company': '', 'type': 'fruit', 'time': '', 'event': 'unknown'}], 'cost': 0.059519999999999997}
--------------------------------------------------------------------------------
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 '% framboise %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Framboise - framboise - crue - - 0 - - - CIQ#7280d91486e81423f093755b8393d6e3
Framboises - framboise - - - 6163 - - - KCA#af14cef6a278c504481858ea3011b600
Jus de Framboise - ju de framboise - - - 169 - - - KCA#d7d72303dac8b25295ae812af56e6b38
Nectar de Framboise - nectar de framboise - - - 48 - - - KCA#90fa95e15778519e52434a8bf9cd75b5
Brioche aux Framboises - brioche au framboise - - - 17 - - - KCA#8e2dc2bf93d3540cdc397a59bb389ffd
Mulatres aux Framboises - mulatre au framboise - - - 2 - - - KCA#f13ff07b309e64315ed6b8f8b2548b68
Jus de Pêche et Framboise - ju de peche framboise - - - 119 - - - KCA#58f2808a3d83a05541bb1fba5ba32da5
Yaourt Activia Framboise - yaourt activia framboise - - - 325 - - - KCA#f35f17730d8dcf9c13a00434375deb28
Verrine Mangue et Framboise - verrine mangue framboise - et framboise - - 0 - - - KCA#e90a3c8bb80170996c9bb5cdd1751032
Muffins Chocolat Framboises - muffin chocolat framboise - - - 22 - - - KCA#9c65203402c4f39126dbeb3f6fc457ee
Riz au Lait et Compote de Framboise - riz lait compote de framboise - - - 7 - - - KCA#39be3e00f42cbc43a1759d82eb9f9622
Vacherin Glacé à Vanille et à la Framboise - vacherin glace vanille framboise - la framboise - - 0 - - - KCA#dca9781f34613ffbf5996dbe704cc080
----------------------------------------------------
ERROR: no solution for picto in the first solution
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 '% pomme %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Pomme - pomme - - - 68414 - - - KCA#c9d2ddea97e4a615e9073d59a85ef6a8
Pomme Gala - pomme gala - pulpe, crue - - 0 - - - CIQ#e44cf217ae50f34471f78330ee1fd658
Pomme Golden - pomme golden - pulpe, crue - - 0 - - - CIQ#997cb9698418689b25b6a29c68717773
Pomme Golden - pomme golden - pulpe et peau, crue - - 0 - - - CIQ#d87c09a9ac2671aa7877b0168488a284
Pommes Paille - pomme paille - - - 24 - - - KCA#162eb3eba3a245cd58f39afab73c9aad
Pommes au Four - pomme four - - - 730 - - - KCA#59860e4d5cf11e3aefa80625666866c5
Pommes de Pain - pomme de pain - - - 0 - - - KCA#0078e5ebc4a45eb9c2c612e634f443e5
Pomme de Terre - pomme de terre - égouttée - - 26541 - - - CIQ#bbc0fd1495ed69b7aadd91d1d9b9ae69
Pomme de Terre - pomme de terre - aliment moyen - - 0 - - - CIQ#15f690b8140afc79288abfb96a139095
Pomme de Terre - pomme de terre - sans peau, crue - - 0 - - - CIQ#9d1dc4d850cf0a126428e8235097b299
Pomme de Terre - pomme de terre - rôtie/cuite au four - - 0 - - - CIQ#73642ae51d1ceb413f96f404c2e8fcc5
Pomme de Terre - pomme de terre - purée, aliment moyen - - 0 - - - CIQ#20c56d85dc4d344fdfb3594d5e93f5ff
Pomme de Terre - pomme de terre - bouillie/cuite à l'eau - - 0 - - - CIQ#6997e933cb8bbe4ad6fb62b2f04c05c2
Pomme de Terre - pomme de terre - sans peau, rôtie/cuite au four - - 0 - - - CIQ#7c973fe7644a5cc7a5e1ac7f7690f91c
Pomme de Terre - pomme de terre - purée, avec lait et beurre, non salée - - 54 - - - CIQ#f6d85f887fb7a88d451e7d1390b123ee
Pomme de Terre - pomme de terre - flocons déshydratés, au lait ou à la crème - - 0 - - - CIQ#1450a8209d87032018367a76931b19ad
Pomme de Terre - pomme de terre - purée à base de flocons, reconstituée avec lait entier, matière grasse - - 0 - - - CIQ#e310092ee2308f72f5d4eb70daa82fbc
Pomme de Terre - pomme de terre - purée à base de flocons, reconstituée avec lait demi-écrémé et eau, non salée - - 0 - - - CIQ#3b12d13dfd318911c754bcb37b7b05ab
Pomme Pink Lady - pomme pink lady - pulpe, crue - - 0 - - - CIQ#58334c920409dfe99e388b98139213b4
Pommes Duchesses - pomme duchesse - - - 125 - - - KCA#3f16a3a0f9fcf3a223a3498825d0ccc7
----------------------------------------------------
FRB.w40
POM.w200
==================================== Prompt =============================================
Here is all known information:
For "Framboise", here are the nutrition values:
name: Framboise
GTIN: none
brand: none
calorie: 49.2Kcal per 100g
reference weight for a unity: 40g
salt: 0.013g per 100g
sugar: 5.4g per 100g
NutriScore: none
EcoScore: none
allergens: none
allergen traces: none
data source: Ciqual
For "Pomme", here are the nutrition values:
name: Pomme
GTIN: none
brand: none
calorie: 49.0Kcal per 100g
reference weight for a unity: 200g
salt: 0.00406g per 100g
sugar: -1.0g per 100g
NutriScore: none
EcoScore: none
allergens: none
allergen traces: none
data source: KcalMe
Answer in less than 50 words to this question with a short explanation if needed: "Compare moi 2 framboises à une Pomme ?"
" + "Mention the data source in the response if it exists. The answer must be in the same language than the question
=========================================================================================
------------------------------ LLM Raw response -----------------------------
Deux framboises (environ 80g) contiennent environ 39,36 Kcal, moins que la pomme (200g) avec 49 Kcal. Les données proviennent de Ciqual et KcalMe.
-----------------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': 'Deux framboises (environ 80g) contiennent environ 39,36 Kcal, moins que la pomme (200g) avec 49 Kcal. Les données proviennent de Ciqual et KcalMe.', 'cost': 0.02616}
--------------------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'Compare moi 2 framboises à une Pomme ?', 'intents': ['Answer a nutrition question'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Framboise', 'normName': ' framboise ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 0, 'id': 'CIQ#7280d91486e81423f093755b8393d6e3', 'quantity': '2', 'quantityLem': '2', 'pack': ['FRB.w40'], 'type': 'fruit', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': '', 'posiNormName': 0}, {'name': 'Pomme', 'normName': ' pomme ', 'comment': '', 'normComment': '', 'rank': 68414, 'id': 'KCA#c9d2ddea97e4a615e9073d59a85ef6a8', 'quantity': '1', 'quantityLem': '1', 'pack': ['POM.w200'], 'type': 'fruit', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': 'POM-100', 'posiNormName': 0}], 'activity': [], 'response': {'type': 'text', 'data': 'Deux framboises (environ 80g) contiennent environ 39,36 Kcal, moins que la pomme (200g) avec 49 Kcal. Les données proviennent de Ciqual et KcalMe.'}}, 'cputime': 14.474854946136475}
----------------------------------------------------------------------------------
LLM CPU Time: 14.474854946136475