Input path: /home/debian/html/nutritwin/output_llm/671b792c60649/input.json
Output path: /home/debian/html/nutritwin/output_llm/671b792c60649/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": "Compote de pommes fraises",
    "quantity": "1 portion",
    "weight": "100",
    "cooking": "",
    "brand": "Charles & Alice",
    "company": "Charles & Alice",
    "type": "Dessert fruité",
    "time": "grignotage",
    "event": "declaration"
  }
]
```
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[
  {
    "name": "Compote de pommes fraises",
    "quantity": "1 portion",
    "weight": "100",
    "cooking": "",
    "brand": "Charles & Alice",
    "company": "Charles & Alice",
    "type": "Dessert fruité",
    "time": "grignotage",
    "event": "declaration"
  }
]
```
------------------------------------------------------

------------------------ After simplification ------------------------
[  {    "name": "Compote de pommes fraises",    "quantity": "1 portion",    "weight": "100",    "cooking": "",    "brand": "Charles & Alice",    "company": "Charles & Alice",    "type": "Dessert fruité",    "time": "grignotage",    "event": "declaration"  }]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'Compote de pommes fraises', 'quantity': '1 portion', 'weight': '100', 'cooking': '', 'brand': 'Charles & Alice', 'company': 'Charles & Alice', 'type': 'Dessert fruité', 'time': 'grignotage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'Compote de pommes fraises', 'quantity': '1 portion', 'weight': '100', 'cooking': '', 'brand': 'Charles & Alice', 'company': 'Charles & Alice', 'type': 'Dessert fruité', 'time': 'grignotage', '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 '% compote de pomme fraise %' AND V_NormTrademark LIKE '%charles alice%' 


------------- Found solution (max 20) --------------
Compote de Pomme Fraises Allégée en Sucres -  compote de pomme fraise allegee en sucre  -  - Charles & Alice - 0 - 3288310845284 - 3288310845284 - OFF#4268655797efddf14266c7a43b893b34
Compote de Pommes et Fraises Allégée en Sucre -  compote de pomme fraise allegee en sucre  -  - Charles & Alice - 0 - 3288310849459 - 3288310845284 - OFF#005c8f8ae0ee9d3b864ecea9d35d4b09
----------------------------------------------------

ERROR: no solution for picto in the first solution
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': 'Compote de Pomme Fraises Allégée en Sucres', 'normName': ' compote de pomme fraise allegee en sucre ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#4268655797efddf14266c7a43b893b34', 'quantity': '1 portion', 'quantityLem': '1 portion', 'pack': ['YA1.w125'], 'type': 'Dessert fruité', 'gtin': '3288310845284', 'gtinRef': '3288310845284', 'brand': 'Charles & Alice', 'time': 'grignotage', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.1409285068511963}
----------------------------------------------------------------------------------
LLM CPU Time: 3.1409285068511963