Input path: /home/debian/html/nutritwin/output_llm/6728b2c5ab470/input.json
Output path: /home/debian/html/nutritwin/output_llm/6728b2c5ab470/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": "raisin",
    "quantity": "grappe",
    "weight": "100",
    "cooking": "cru",
    "brand": "",
    "company": "",
    "type": "fruit",
    "time": "grignotage",
    "event": "declaration"
  }
]
``` 

Veuillez noter que le poids est une estimation approximative et pourrait varier.
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[
  {
    "name": "raisin",
    "quantity": "grappe",
    "weight": "100",
    "cooking": "cru",
    "brand": "",
    "company": "",
    "type": "fruit",
    "time": "grignotage",
    "event": "declaration"
  }
]
``` 

Veuillez noter que le poids est une estimation approximative et pourrait varier.
------------------------------------------------------

------------------------ After simplification ------------------------
[  {    "name": "raisin",    "quantity": "grappe",    "weight": "100",    "cooking": "cru",    "brand": "",    "company": "",    "type": "fruit",    "time": "grignotage",    "event": "declaration"  }]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'raisin', 'quantity': 'grappe', 'weight': '100', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'fruit', 'time': 'grignotage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'raisin', 'quantity': 'grappe', 'weight': '100', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'fruit', '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 '% raisin %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)


------------- Found solution (max 20) --------------
Raisin -  raisin  - sec -  - 3301 -  -  - CIQ#b4259d01a33e32c5013efafd8431d795
Raisins Secs -  raisin sec  -  -  - 0 -  -  - KCA#1629eba3d871ec3e0fd5431f9291bf6d
Raisin Blanc -  raisin blanc  - à gros grain, type Italia ou Dattier, cru -  - 0 -  -  - CIQ#2fdb7b01fab3eb180fcd7f614d97e68f
Raisin Chasselas -  raisin chassela  - cru -  - 0 -  -  - CIQ#540cb502316f69468904e34e0af965e3
Raisin Noir Frais -  raisin noir frai  -  -  - 768 -  -  - KCA#4bf363f94f08fb0f38b13e0bfb2f5857
Raisin Noir Muscat -  raisin noir muscat  - cru -  - 0 -  -  - CIQ#0cec10f8c2fc25b05d0a26ab7921f852
Pain au Raisin -  pain raisin  -  -  - 1786 -  -  - KCA#553835be3dd8de0a372815e6d0eb7399
Jus de Raisin -  ju de raisin  - pur jus -  - 0 -  -  - CIQ#17080b63b0236dd627893c70c6cfd9b6
Jus de Raisin -  ju de raisin  - à base de concentré -  - 0 -  -  - CIQ#4a8a96807435d75264e1ad52cb69dcc2
Tarte au Raisin -  tarte raisin  - au raisin -  - 0 -  -  - KCA#1cf2c3141d8378920fc495d980ab806e
Jus de Raisin Noir et Poire -  ju de raisin noir poire  -  -  - 1 -  -  - KCA#df5169d83aaa4341013aefe547c854e0
Pain aux Raisins -  pain au raisin  - viennoiserie -  - 0 -  -  - CIQ#9e67ae293093774fb909e93ebebbad70
Faisan aux Raisins -  faisan au raisin  -  -  - 1 -  -  - KCA#bcd92953f110e16e960e1b526d85d99d
Pigeons aux Raisins -  pigeon au raisin  -  -  - 2 -  -  - KCA#a6791e0bdaf470d03ed6aa2a6d3e6248
Jus de Kiwi et Raisin Blanc -  ju de kiwi raisin blanc  -  -  - 83 -  -  - KCA#9afe1c1fee0f95f35bb04712f31fb9e8
Pain Avec des Raisins -  pain avec de raisin  -  -  - 313 -  -  - KCA#b3d22a15de728eb6fae5884093730c96
Huile de Pépins de Raisin -  huile de pepin de raisin  -  -  - 60 -  -  - CIQ#a8565e3927893c601646df098f444205
Pain de Seigle aux Raisins -  pain de seigle au raisin  -  -  - 267 -  -  - KCA#713622ef4e191b70a42bdf4313b99401
Foie de Canard aux Raisins -  foie de canard au raisin  -  -  - 7 -  -  - KCA#42f226eb97896c4adca6e90d2fc0f14d
Gâteau de Semoule aux Raisins et Caramel -  gateau de semoule au raisin caramel  -  -  - 0 -  -  - CIQ#7600ca98415ad5d02089e76a9cf96f32
----------------------------------------------------

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': 'Raisin', 'normName': ' raisin ', 'comment': 'sec', 'normComment': ' sec ', 'rank': 3301, 'id': 'CIQ#b4259d01a33e32c5013efafd8431d795', 'quantity': 'grappe', 'quantityLem': 'grappe', 'pack': ['POG.w15'], 'type': 'fruit', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'grignotage', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 3.7489688396453857}
----------------------------------------------------------------------------------
LLM CPU Time: 3.7489688396453857