Input path: /home/debian/html/nutritwin/output_llm/671214acf0d4b/input.json
Output path: /home/debian/html/nutritwin/output_llm/671214acf0d4b/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": "croissant aux amandes", "quantity": "portion", "weight": "60", "cooking": "", "brand": "", "company": "", "type": "viennoiserie", "time": "petit-déjeuner", "event": "declaration"},
  {"name": "pain au chocolat", "quantity": "portion", "weight": "60", "cooking": "", "brand": "", "company": "", "type": "viennoiserie", "time": "petit-déjeuner", "event": "declaration"}
]
```
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[
  {"name": "croissant aux amandes", "quantity": "portion", "weight": "60", "cooking": "", "brand": "", "company": "", "type": "viennoiserie", "time": "petit-déjeuner", "event": "declaration"},
  {"name": "pain au chocolat", "quantity": "portion", "weight": "60", "cooking": "", "brand": "", "company": "", "type": "viennoiserie", "time": "petit-déjeuner", "event": "declaration"}
]
```
------------------------------------------------------

------------------------ After simplification ------------------------
[  {"name": "croissant aux amandes", "quantity": "portion", "weight": "60", "cooking": "", "brand": "", "company": "", "type": "viennoiserie", "time": "petit-déjeuner", "event": "declaration"},  {"name": "pain au chocolat", "quantity": "portion", "weight": "60", "cooking": "", "brand": "", "company": "", "type": "viennoiserie", "time": "petit-déjeuner", "event": "declaration"}]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'croissant aux amandes', 'quantity': 'portion', 'weight': '60', 'cooking': '', 'brand': '', 'company': '', 'type': 'viennoiserie', 'time': 'petit-déjeuner', 'event': 'declaration'}, {'name': 'pain au chocolat', 'quantity': 'portion', 'weight': '60', 'cooking': '', 'brand': '', 'company': '', 'type': 'viennoiserie', 'time': 'petit-déjeuner', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'croissant aux amandes', 'quantity': 'portion', 'weight': '60', 'cooking': '', 'brand': '', 'company': '', 'type': 'viennoiserie', 'time': 'petit-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 '% croissant au amande %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Croissant aux Amandes -  croissant au amande  - artisanal -  - 0 -  -  - CIQ#09009466d5ee111e22cbfc099ea58f4a
----------------------------------------------------

ERROR: no solution for picto in the first solution

----------- result to be analyzed -----------
{'name': 'pain au chocolat', 'quantity': 'portion', 'weight': '60', 'cooking': '', 'brand': '', 'company': '', 'type': 'viennoiserie', 'time': 'petit-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 '% pain chocolat %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Pain au Chocolat -  pain chocolat  -  -  - 8865 -  -  - CIQ#aa621dd97d922a7b28ca0ee09aed7449
Pain au Chocolat Feuilleté -  pain chocolat feuillete  - artisanal -  - 0 -  -  - CIQ#bd38d8f7658a11f0a504009aaaa44ead
----------------------------------------------------

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': 'Croissant aux Amandes', 'normName': ' croissant au amande ', 'comment': 'artisanal', 'normComment': ' artisanal ', 'rank': 0, 'id': 'CIQ#09009466d5ee111e22cbfc099ea58f4a', 'quantity': 'portion', 'quantityLem': 'portion', 'pack': ['VIE.w50'], 'type': 'viennoiserie', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Pain au Chocolat', 'normName': ' pain chocolat ', 'comment': '', 'normComment': '', 'rank': 8865, 'id': 'CIQ#aa621dd97d922a7b28ca0ee09aed7449', 'quantity': 'portion', 'quantityLem': 'portion', 'pack': ['PAC.w80'], 'type': 'viennoiserie', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'petit-déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.41877555847168}
----------------------------------------------------------------------------------
LLM CPU Time: 4.41877555847168