Input path: /home/debian/html/nutritwin/output_llm/661f86838798b/input.json
Output path: /home/debian/html/nutritwin/output_llm/661f86838798b/output.json
Input text: Combien de calories dans un verre de lait et une orange
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: Combien de calories dans un verre de lait et une orange
==================================================================================================================================
==================================== 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: ###Combien de calories dans un verre de lait et une orange###.
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: "Combien de calories dans un verre de lait et une orange".
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 "Combien de calories dans un verre de lait et une orange" and here is the information extracted:
```json
[
{
"name": "lait",
"quantity": "un verre",
"cooking": "",
"brand": "",
"company": "",
"type": "boisson",
"time": "",
"event": "unknown"
},
{
"name": "orange",
"quantity": "une",
"cooking": "",
"brand": "",
"company": "",
"type": "fruit",
"time": "",
"event": "unknown"
}
]
```
In this sentence, there is no information about the brand, the company, the cooking mode, the time of day when the foods were eaten, or whether the event is an intent, a declaration, or unknown. Therefore, these fields are left empty. The type of food for milk is beverage and for orange is fruit.
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, I have analyzed the sentence "Combien de calories dans un verre de lait et une orange" and here is the information extracted:
```json
[
{
"name": "lait",
"quantity": "un verre",
"cooking": "",
"brand": "",
"company": "",
"type": "boisson",
"time": "",
"event": "unknown"
},
{
"name": "orange",
"quantity": "une",
"cooking": "",
"brand": "",
"company": "",
"type": "fruit",
"time": "",
"event": "unknown"
}
]
```
In this sentence, there is no information about the brand, the company, the cooking mode, the time of day when the foods were eaten, or whether the event is an intent, a declaration, or unknown. Therefore, these fields are left empty. The type of food for milk is beverage and for orange is fruit.
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "lait", "quantity": "un verre", "cooking": "", "brand": "", "company": "", "type": "boisson", "time": "", "event": "unknown" }, { "name": "orange", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "fruit", "time": "", "event": "unknown" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'lait', 'quantity': 'un verre', 'cooking': '', 'brand': '', 'company': '', 'type': 'boisson', 'time': '', 'event': 'unknown'}, {'name': 'orange', 'quantity': 'une', 'cooking': '', 'brand': '', 'company': '', 'type': 'fruit', 'time': '', 'event': 'unknown'}], 'cost': 0.06114}
--------------------------------------------------------------------------------
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 '% lait %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Lait - lait - teneur en matière grasse inconnue, UHT, aliment moyen - - 0 - - - CIQ#ebdfafe0fce6b513193ae9c0855b4094
Lait à 1 - lait - 2% de matière grasse, UHT, enrichi en plusieurs vitamines - - 0 - - - CIQ#825f8bcb068ecde315938147ed819623
Lait Entier - lait entier - - - 1435 - - - KCA#c131edf4d3c1e17da0b0a54b5ed8bbb6
Lait Écrémé - lait ecreme - UHT - - 9353 - - - CIQ#27de8d007093ae392f4b782851e7fd9c
Lait Entier - lait entier - UHT - - 0 - - - CIQ#5118aac9b89cceae9a62423175de70eb
Lait Écrémé - lait ecreme - pasteurisé - - 0 - - - CIQ#1622e54576ffea9bca81697cacb48d94
Lait Entier - lait entier - pasteurisé - - 0 - - - CIQ#d5881852b522b09ee02aa0fe46885b00
Lait de Soja - lait de soja - - - 3001 - - - KCA#7484ab8a01f886bca7607cf06a579a2c
Lait d'Avoine - lait avoine - - - 837 - - - KCA#54605e0becbb04ace3db6bf78748c15f
Lait de Poule - lait de poule - sans alcool - - 0 - - - CIQ#f6756ecdc46ec65e5972c6aaf481f4a2
Lait en Poudre - lait en poudre - écrémé - - 117 - - - CIQ#1d9ba583216533c41321ffd9ea51b327
Lait en Poudre - lait en poudre - entier - - 25 - - - CIQ#be7d16f0a05422e5eb1d5ff077dee20c
Lait de Brebis - lait de brebi - entier - - 0 - - - CIQ#b54f3b8a48f8d3e0ba7a0228c8adca4f
Lait de Jument - lait de jument - entier - - 0 - - - CIQ#05ea74b811b1a15ad91876c22391f13a
Lait en Poudre - lait en poudre - demi-écrémé - - 0 - - - CIQ#ee03115de1c18f635dbb62d80d6f9715
Lait de Chèvre - lait de chevre - entier, cru - - 0 - - - CIQ#8fb6afe4302a0073de91d274e3722c3e
Lait de Chèvre - lait de chevre - entier, UHT - - 0 - - - CIQ#9d462cfc80afac9cf259f0f2f305db74
Lait de Chèvre - lait de chevre - demi-écrémé, UHT - - 0 - - - CIQ#a497c21ecfbd7c2930cb99326897a779
Lait 1/2 Écrémé - lait 1/2 ecreme - - - 23220 - - - KCA#d5b12fbedab6d0f0a741feeaa8e92b35
Lait Entier UHT - lait entier uht - - - 25 - - - KCA#aeb66cc691b5e08f15b01dc094a51d18
----------------------------------------------------
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 '% orange %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Orange - orange - pulpe, crue - - 19789 - - - CIQ#a84ec3c1b9bc46c10b639fa15eeef5f4
Orange Givrée - orange givree - - - 31 - - - KCA#78bd77a68826904b6b891043ddcc9d5a
Orange Pressée - orange pressee - - - 3137 - - - KCA#d951c9057cfe647b69b7f30181322ad1
Jus d'Orange - ju orange - - - 52983 - - - KCA#da7a1f81a8cd82dbbbbbedf56a167258
Jus d'Orange - ju orange - pur jus - - 0 - - - CIQ#a4328be11b7e0fb0c4474532724cf38f
Jus d'Orange - ju orange - à base de concentré - - 0 - - - CIQ#72928c242781a6ee15266175037b3fb8
Jus d'Orange Pasteurisé - ju orange pasteurise - - - 44 - - - KCA#8dc9e7ac955777e77122f7bd97350613
Jus d'Orange et Gingembre - ju orange gingembre - - - 31 - - - KCA#ac517779183d5fdeff117cfe8eb4be98
Jus d'Orange, Mangue et Fraise - ju orange mangue fraise - - - 60 - - - KCA#12cc18043b0813e5110bb808101edc8e
Jus Orange Pamplemousse Pressés - ju orange pamplemousse presse - - - 517 - - - KCA#e606e760b12355e0cc070fbf069b4261
Jus d'Orange, Carotte et Céleri - ju orange carotte celeri - - - 117 - - - KCA#ba4cb33c47a671db82eeaad9ddd5c63e
Jus d'Orange, Gingembre et Ananas - ju orange gingembre anana - - - 6 - - - KCA#e2edd8bdeebd69177ece6caee7f071d8
Jus d'Orange, Carotte et Gingembre - ju orange carotte gingembre - - - 73 - - - KCA#0c209cbc5beac761ddcf7ea316e5b29e
Jus d'Orange, Ananas et Glace au Melon - ju orange anana glace melon - - - 21 - - - KCA#3e4e71456576da23059304f3eba50c9c
Gin Orange - gin orange - - - 11 - - - KCA#69422eafcd803a4841e22ba7a24dbeaf
Vodka Orange - vodka orange - - - 303 - - - KCA#afee6734db3389d9a53ba62d8e345e8e
Tarte à l'Orange - tarte orange - à l'orange - - 0 - - - KCA#8cf553da1e0c3135218833739419ea98
Salade d'Oranges - salade orange - - - 71 - - - KCA#a7fe61d6cb0d6c12eba4ca95e0f74781
Dorade à l'Orange - dorade orange - - - 76 - - - KCA#f37ceb94004879aa0221259fea9ea8bd
Canard à l'Orange - canard orange - - - 33 - - - KCA#42651abfdc29355ec0cf7e410b802f1a
----------------------------------------------------
VX1,VA2,VA3,BI4,VA4
ORA.w200
==================================== Prompt =============================================
Here is all known information:
For "Lait", here are the nutrition values:
name: Lait
GTIN: none
brand: none
calorie: 47.3Kcal per 100ml
reference volume for a unity: 250ml
salt: 0.092g per 100ml
sugar: 4.62g per 100ml
NutriScore: none
EcoScore: none
allergens: en:milk
allergen traces: none
data source: Ciqual
For "Orange", here are the nutrition values:
name: Orange
GTIN: none
brand: none
calorie: 45.5Kcal per 100g
reference weight for a unity: 200g
salt: 0.013g per 100g
sugar: 7.6g per 100g
NutriScore: none
EcoScore: none
allergens: none
allergen traces: none
data source: Ciqual
Answer in less than 50 words to this question with a short explanation if needed: "Combien de calories dans un verre de lait et une orange"
" + "Mention the data source in the response if it exists. The answer must be in the same language than the question
=========================================================================================
------------------------------ LLM Raw response -----------------------------
Un verre de lait de 250ml contient environ 118 calories et une orange de 200g environ 91 calories. Ces données proviennent de Ciqual.
-----------------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': 'Un verre de lait de 250ml contient environ 118 calories et une orange de 200g environ 91 calories. Ces données proviennent de Ciqual.', 'cost': 0.02454}
--------------------------------------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': 'Combien de calories dans un verre de lait et une orange', 'intents': ['Answer a nutrition question'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Lait', 'normName': ' lait ', 'comment': 'teneur en matière grasse inconnue, UHT, aliment moyen', 'normComment': ' teneur en matiere grasse inconnue uht aliment moyen ', 'rank': 0, 'id': 'CIQ#ebdfafe0fce6b513193ae9c0855b4094', 'quantity': 'un verre', 'quantityLem': '1 verre', 'pack': ['VX1', 'VA2', 'VA3', 'BI4', 'VA4'], 'type': 'boisson', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': 'VA2-100', 'posiNormName': 0}, {'name': 'Orange', 'normName': ' orange ', 'comment': 'pulpe, crue', 'normComment': ' pulpe crue ', 'rank': 19789, 'id': 'CIQ#a84ec3c1b9bc46c10b639fa15eeef5f4', 'quantity': 'une', 'quantityLem': '1', 'pack': ['ORA.w200'], 'type': 'fruit', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': '', 'event': 'unknown', 'serving': 'ORA-100', 'posiNormName': 0}], 'activity': [], 'response': {'type': 'text', 'data': 'Un verre de lait de 250ml contient environ 118 calories et une orange de 200g environ 91 calories. Ces données proviennent de Ciqual.'}}, 'cputime': 15.870882034301758}
----------------------------------------------------------------------------------
LLM CPU Time: 15.870882034301758