Input path: /home/debian/html/nutritwin/output_llm/671f81f653ee1/input.json
Output path: /home/debian/html/nutritwin/output_llm/671f81f653ee1/output.json
Input text: 
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: 
==================================================================================================================================
###########################################
#   For image extraction, GPT4 is used    #
###########################################

==================================== Prompt =============================================
In the image, identify all the foods and the beverages.
For each of them, identify the "name", the "type", the "quantity", if it exists, the "brand" and the "cooking" mode. 
"Portions", like "tranche", are quantities. 
Ignore what it is not connected to nutrition, beverage or food. 
When the "brand" is not specified and the product is very well-known (like "Coca-Cola"), provide the brand name in "brand", otherwise set "brand" to "". 
Identify what "type" of food.
Identify the "company" to which the "brand" belongs.
Estimate the "weight" in grams or centiliters for each result.
Identify the time is the current time, map it on the closest case: "petit-déjeuner", "déjeuner", "grignotage" or "dîner".
When the "name" has synonyms, use the most common name, example: "yaourt" is more common than "yogourt".
Format the result for each ingredient of food & beverage in french in JSON in an array of tuples {"name":, "quantity":, "weight":, "cooking":, "brand":, "company":, "type":, "time":, "event": "declaration"}. 


=========================================================================================

Image recognition....

------------------------------ LLM Raw response -----------------------------
```json
[
  {
    "name": "salade de pâtes",
    "quantity": "portion",
    "weight": "300",
    "cooking": "cuit",
    "brand": "",
    "company": "",
    "type": "plat principal",
    "time": "déjeuner",
    "event": "declaration"
  }
]
```
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[
  {
    "name": "salade de pâtes",
    "quantity": "portion",
    "weight": "300",
    "cooking": "cuit",
    "brand": "",
    "company": "",
    "type": "plat principal",
    "time": "déjeuner",
    "event": "declaration"
  }
]
```
------------------------------------------------------

------------------------ After simplification ------------------------
[  {    "name": "salade de pâtes",    "quantity": "portion",    "weight": "300",    "cooking": "cuit",    "brand": "",    "company": "",    "type": "plat principal",    "time": "déjeuner",    "event": "declaration"  }]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'salade de pâtes', 'quantity': 'portion', 'weight': '300', 'cooking': 'cuit', 'brand': '', 'company': '', 'type': 'plat principal', 'time': 'déjeuner', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'salade de pâtes', 'quantity': 'portion', 'weight': '300', 'cooking': 'cuit', 'brand': '', 'company': '', 'type': 'plat principal', 'time': 'déjeuner', 'event': 'declaration'}

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 '% salade de pate %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Salade de Pâtes au Saumon -  salade de pate saumon  -  -  - 821 -  -  - KCA#b45dedadc67758e4001de8fdbf5b9d68
Salade de Pâtes au Légumes -  salade de pate legume  - avec Thon ou Viande -  - 400 -  -  - KCA#b667ca1e93312c184d74703fe9585c70
Salade de Pâtes et Chapelure à l'Ail -  salade de pate chapelure ail  -  -  - 60 -  -  - KCA#6e50389de7d162a17cf82df451e52ece
----------------------------------------------------

ERROR: no solution for picto in the first solution

--------------------------------- final result -----------------------------------
{'prompt': '', 'intents': ['Identify food in an image'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Salade de Pâtes au Saumon', 'normName': ' salade de pate saumon ', 'comment': '', 'normComment': '', 'rank': 821, 'id': 'KCA#b45dedadc67758e4001de8fdbf5b9d68', 'quantity': 'portion', 'quantityLem': 'portion', 'pack': ['SAL.k216'], 'type': 'plat principal', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.332902669906616}
----------------------------------------------------------------------------------
LLM CPU Time: 4.332902669906616