Input path: /home/debian/html/nutritwin/output_llm/6620c949bf9ae/input.json
Output path: /home/debian/html/nutritwin/output_llm/6620c949bf9ae/output.json
Input text: J'ai mangé deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner
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 deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner
==================================================================================================================================
==================================== 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 deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner###.
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 deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner".
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 deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner".
```json
[
{
"name": "croissant",
"quantity": "deux",
"cooking": "",
"brand": "",
"company": "",
"type": "boulangerie",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "chocolat au lait",
"quantity": "un",
"cooking": "",
"brand": "",
"company": "",
"type": "boisson",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "jus d'orange",
"quantity": "un",
"cooking": "",
"brand": "",
"company": "",
"type": "boisson",
"time": "petit-déjeuner",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
Based on your instructions, here's the analysis of the sentence "J'ai mangé deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner".
```json
[
{
"name": "croissant",
"quantity": "deux",
"cooking": "",
"brand": "",
"company": "",
"type": "boulangerie",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "chocolat au lait",
"quantity": "un",
"cooking": "",
"brand": "",
"company": "",
"type": "boisson",
"time": "petit-déjeuner",
"event": "declaration"
},
{
"name": "jus d'orange",
"quantity": "un",
"cooking": "",
"brand": "",
"company": "",
"type": "boisson",
"time": "petit-déjeuner",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "croissant", "quantity": "deux", "cooking": "", "brand": "", "company": "", "type": "boulangerie", "time": "petit-déjeuner", "event": "declaration" }, { "name": "chocolat au lait", "quantity": "un", "cooking": "", "brand": "", "company": "", "type": "boisson", "time": "petit-déjeuner", "event": "declaration" }, { "name": "jus d'orange", "quantity": "un", "cooking": "", "brand": "", "company": "", "type": "boisson", "time": "petit-déjeuner", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'croissant', 'quantity': 'deux', 'cooking': '', 'brand': '', 'company': '', 'type': 'boulangerie', 'time': 'petit-déjeuner', 'event': 'declaration'}, {'name': 'chocolat au lait', 'quantity': 'un', 'cooking': '', 'brand': '', 'company': '', 'type': 'boisson', 'time': 'petit-déjeuner', 'event': 'declaration'}, {'name': "jus d'orange", 'quantity': 'un', 'cooking': '', 'brand': '', 'company': '', 'type': 'boisson', 'time': 'petit-déjeuner', 'event': 'declaration'}], 'cost': 0.06834}
--------------------------------------------------------------------------------
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 '% croissant %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Croissant - croissant - - - 0 - - - CIQ#86eae30edf4c00781a56f6b68dc52c22
Croissant Ordinaire - croissant ordinaire - - - 1682 - - - KCA#f001a79b3629152c6f6920a442cd728b
Croissant au Jambon - croissant jambon - - - 212 - - - CIQ#8cd4fb25e8fd9b214dc8f8ca0dfd4d1a
Croissant au Beurre - croissant beurre - artisanal - - 9262 - - - CIQ#7443ae4065cdd758d6077a2a98d30da8
Croissant Ordinaire - croissant ordinaire - artisanal - - 0 - - - CIQ#fe4e88f9975bad79c96e4d457655591a
Croissant au Fromage - croissant fromage - - - 32 - - - KCA#81cabd3f5253e015e4c2a9d30e03d946
Croissant Boulangerie - croissant boulangerie - - - 848 - - - KCA#a4ee72ec661706e325ce7f55832b6f77
Croissant aux Amandes - croissant au amande - artisanal - - 0 - - - CIQ#09009466d5ee111e22cbfc099ea58f4a
Croissant au Jambon Fromage - croissant jambon fromage - - - 0 - - - CIQ#62e60d508ab7cd11d065c260425c770b
----------------------------------------------------
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 '% chocolat lait %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Chocolat au Lait - chocolat lait - - - 17100 - - - KCA#7a8849f6f600e38254b01cd2dcb2e2eb
Chocolat au Lait - chocolat lait - tablette - - 0 - - - CIQ#0c766e8e90e26098e79738866cacd819
Chocolat au Lait - chocolat lait - aux Céréales croustillantes - - 2056 - - - KCA#f5d4edabe0f965da0f72bcc4c5dfb4c2
Chocolat au Lait sans Sucres Ajoutés - chocolat lait san sucre ajoute - avec édulcorants, tablette - - 0 - - - CIQ#09bc5fef8a8b1113265bb2a0ddc95b2f
Barre Chocolat au Lait Avec Nougat - barre chocolat lait avec nougat - - - 0 - - - CIQ#4d30ebad2bc839779b5fedc8be7fd687
----------------------------------------------------
ERROR: no solution for picto in the first solution
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 '% ju orange %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
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
----------------------------------------------------
--------------------------------- final result -----------------------------------
{'prompt': "J'ai mangé deux croissants et un chocolat au lait et un jus d'orange au petit déjeuner", 'intents': ['Capture the user food consumption'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Croissant', 'normName': ' croissant ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'CIQ#86eae30edf4c00781a56f6b68dc52c22', 'quantity': 'deux', 'quantityLem': '2', 'pack': ['VIE.w50'], 'type': 'boulangerie', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': 'VIE-200', 'posiNormName': 0}, {'name': 'Chocolat au Lait', 'normName': ' chocolat lait ', 'comment': '', 'normComment': '', 'rank': 17100, 'id': 'KCA#7a8849f6f600e38254b01cd2dcb2e2eb', 'quantity': 'un', 'quantityLem': '1', 'pack': ['CHO.w7'], 'type': 'boisson', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': "Jus d'Orange", 'normName': ' ju orange ', 'comment': '', 'normComment': '', 'rank': 52983, 'id': 'KCA#da7a1f81a8cd82dbbbbbedf56a167258', 'quantity': 'un', 'quantityLem': '1', 'pack': ['VA4', 'VA3', 'VA2', 'VX1', 'GOB', 'LDK'], 'type': 'boisson', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': 'VA4-100', 'posiNormName': 0}], 'activity': [], 'response': ''}, 'cputime': 10.233962059020996}
----------------------------------------------------------------------------------
LLM CPU Time: 10.233962059020996