Input path: /home/debian/html/nutritwin/output_llm/66f39694bdb94/input.json
Output path: /home/debian/html/nutritwin/output_llm/66f39694bdb94/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": "œuf",
    "quantity": "2 unités",
    "weight": "environ 100g (50g par unité)",
    "cooking": "à déterminer",
    "brand": "",
    "company": "",
    "type": "produit d'origine animale",
    "time": "indéterminé",
    "event": "declaration"
  }
]
```
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[
  {
    "name": "œuf",
    "quantity": "2 unités",
    "weight": "environ 100g (50g par unité)",
    "cooking": "à déterminer",
    "brand": "",
    "company": "",
    "type": "produit d'origine animale",
    "time": "indéterminé",
    "event": "declaration"
  }
]
```
------------------------------------------------------

------------------------ After simplification ------------------------
[  {    "name": "œuf",    "quantity": "2 unités",    "weight": "environ 100g (50g par unité)",    "cooking": "à déterminer",    "brand": "",    "company": "",    "type": "produit d'origine animale",    "time": "indéterminé",    "event": "declaration"  }]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'œuf', 'quantity': '2 unités', 'weight': 'environ 100g (50g par unité)', 'cooking': 'à déterminer', 'brand': '', 'company': '', 'type': "produit d'origine animale", 'time': 'indéterminé', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'œuf', 'quantity': '2 unités', 'weight': 'environ 100g (50g par unité)', 'cooking': 'à déterminer', 'brand': '', 'company': '', 'type': "produit d'origine animale", 'time': 'indéterminé', '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 '% oeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Oeuf -  oeuf  - cru -  - 177 -  -  - CIQ#89c78a1c04879b2ae973694f50092c79
Oeuf -  oeuf  - dur -  - 0 -  -  - CIQ#fda269f79263c80adf5b9b2c3c29c1d7
Oeuf -  oeuf  - poché -  - 0 -  -  - CIQ#8d04a52d9c575bdba000c6f1cf343ab0
Oeuf -  oeuf  - en poudre -  - 0 -  -  - CIQ#f4b4ef030ae3fcf5bbfea0a792a9ab66
Oeuf -  oeuf  - à la coque -  - 3414 -  -  - CIQ#37567ba433b1d5278fcb1a7813128c96
Oeuf -  oeuf  - blanc, blanc d'oeuf -  - 0 -  -  - CIQ#f8541a0a53cfc718c4be702af74b13a6
Oeuf -  oeuf  - jaune, jaune d'oeuf -  - 0 -  -  - CIQ#caff0c1a1a02e4d086dd987b784e898a
Oeuf -  oeuf  - au plat, frit, salé -  - 0 -  -  - CIQ#f9852838d9a21ae4940ea5102b58e8d1
Oeuf -  oeuf  - blanc, blanc d'oeuf, cru -  - 0 -  -  - CIQ#91658f86dcc6220b09b2ffc7d5e4d309
Oeuf -  oeuf  - jaune, jaune d'oeuf, cru -  - 0 -  -  - CIQ#cab44469339c33f14bf4c536019e8f57
Oeuf -  oeuf  - au plat, sans matière grasse -  - 0 -  -  - CIQ#36e518c64c0e0c5a908f4674e1587a9c
Oeuf -  oeuf  - brouillé, avec matière grasse -  - 0 -  -  - CIQ#89ffd23269a5b9a6910f6a7bb1a17945
Oeuf -  oeuf  - blanc, blanc d'oeuf, en poudre -  - 0 -  -  - CIQ#6dc23efe8a247a89ac865e3539278bb1
Oeuf -  oeuf  - jaune, jaune d'oeuf, en poudre -  - 0 -  -  - CIQ#20ab10b969e15e835fce7d54c1815eeb
Oeuf Dur -  oeuf dur  -  -  - 34213 -  -  - KCA#0c9196f2d28e211ac0aeb81d4c9361a9
Oeuf Poché -  oeuf poche  -  -  - 645 -  -  - KCA#1759edc574d011bf3a8af743ed941e6e
Oeuf d'Oie -  oeuf oie  - cru -  - 0 -  -  - CIQ#d5a0273c1cb314a819952b4272379b24
Oeuf Miroir -  oeuf miroir  -  -  - 11945 -  -  - KCA#5cf9cdac852c9777e406442fcfd51315
Oeufs Panés -  oeuf pane  -  -  - 15 -  -  - KCA#476eea019750878ec03fbc60bcfa9020
Oeufs Frits -  oeuf frit  - aux Tomates Provençales -  - 13 -  -  - KCA#1939ad70c8a272d6285ac0509778f087
----------------------------------------------------


--------------------------------- final result -----------------------------------
{'prompt': '', 'intents': ['Identify food in an image'], 'model': 'gpt-4o-2024-05-13', 'solutions': {'nutrition': [{'name': 'Oeuf', 'normName': ' oeuf ', 'comment': 'cru', 'normComment': ' cru ', 'rank': 177, 'id': 'CIQ#89c78a1c04879b2ae973694f50092c79', 'quantity': '2 unités', 'quantityLem': '2', 'pack': ['OEU.w60'], 'type': "produit d'origine animale", 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'indéterminé', 'event': 'declaration', 'serving': 'OEU-200', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.276474952697754}
----------------------------------------------------------------------------------
LLM CPU Time: 3.276474952697754