Input path: /home/debian/html/nutritwin/output_llm/67165a14e2db1/input.json
Output path: /home/debian/html/nutritwin/output_llm/67165a14e2db1/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": "barre chocolatée",
    "quantity": "1",
    "weight": "",
    "cooking": "",
    "brand": "Lion",
    "company": "Nestlé",
    "type": "confiserie",
    "time": "grignotage",
    "event": "declaration"
  }
]
```

Note: Le poids exact de la barre chocolatée n'est pas spécifié dans l'image, donc l'entrée "weight" reste vide. Cependant, la taille standard d'une barre chocolatée Lion snack size peut être autour de 30 grammes, ce qui pourrait être utilisé comme estimation si nécessaire.
-----------------------------------------------------------------------------

----------------- Make it compliant ------------------
```json
[
  {
    "name": "barre chocolatée",
    "quantity": "1",
    "weight": "",
    "cooking": "",
    "brand": "Lion",
    "company": "Nestlé",
    "type": "confiserie",
    "time": "grignotage",
    "event": "declaration"
  }
]
```

Note: Le poids exact de la barre chocolatée n'est pas spécifié dans l'image, donc l'entrée "weight" reste vide. Cependant, la taille standard d'une barre chocolatée Lion snack size peut être autour de 30 grammes, ce qui pourrait être utilisé comme estimation si nécessaire.
------------------------------------------------------

------------------------ After simplification ------------------------
[  {    "name": "barre chocolatée",    "quantity": "1",    "weight": "",    "cooking": "",    "brand": "Lion",    "company": "Nestlé",    "type": "confiserie",    "time": "grignotage",    "event": "declaration"  }]
----------------------------------------------------------------------

--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'barre chocolatée', 'quantity': '1', 'weight': '', 'cooking': '', 'brand': 'Lion', 'company': 'Nestlé', 'type': 'confiserie', 'time': 'grignotage', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------

----------- result to be analyzed -----------
{'name': 'barre chocolatée', 'quantity': '1', 'weight': '', 'cooking': '', 'brand': 'Lion', 'company': 'Nestlé', 'type': 'confiserie', '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 '% barre chocolatee %' AND V_NormTrademark LIKE '%lion%' 


Second 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_NormAggr LIKE '% barre chocolatee %' AND V_NormTrademark LIKE '%lion%' 


Third 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_NormAggr LIKE '% barre chocolatee %' AND V_NormAggr LIKE '% lion %' AND V_NormAggr LIKE '% nestle %' 


------------- Found solution (max 20) --------------
Barre Chocolatée Lion -  barre chocolatee lion  -  - Nestlé - 0 - 7613035008106 - 7613035008106 - OFF#f080bd390256541b1ea0243893ed1f1e
Lion Barre Chocolatée -  lion barre chocolatee  -  - Nestlé - 0 - 7613038316345 - 7613038316345 - OFF#2827794321e0199e19241dd3bb07a589
Lion Mini Barres Chocolatées -  lion mini barre chocolatee  -  - Nestlé - 0 - 3033710042814 - 3033710042814 - OFF#00f475dc29e6a7460a53cddbcdaf87d2
Lion Mini Barres Chocolatées -  lion mini barre chocolatee  -  - Nestlé - 0 - 7613032638801 - 3033710042814 - OFF#581561a6c6ba1ddf59dd8b90558fbaff
Lion Mini Barres Chocolatées Offre Gourmande -  lion mini barre chocolatee offre gourmande  -  - Nestlé - 0 - 7613037964639 - 7613037964639 - OFF#2841e19e5d520f99310439ffe6b0be47
Lion White Barres Chocolatées -  lion white barre chocolatee  -  - Nestlé - 0 - 7613035502369 - 7613035502369 - OFF#af2de8a27318859e235b19417a964d3e
Lion Peanut Barre Chocolatée -  lion peanut barre chocolatee  -  - Nestlé - 0 - 7613033950940 - 7613033950940 - OFF#15e9bf96b1bbc64491a83589b4cb9d5a
----------------------------------------------------

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': 'Barre Chocolatée Lion', 'normName': ' barre chocolatee lion ', 'comment': '', 'normComment': '', 'rank': 0, 'id': 'OFF#f080bd390256541b1ea0243893ed1f1e', 'quantity': '1', 'quantityLem': '1', 'pack': ['BAR.w33', 'BAR.w21'], 'type': 'confiserie', 'gtin': '7613035008106', 'gtinRef': '7613035008106', 'brand': 'Nestlé', 'time': 'grignotage', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.739023208618164}
----------------------------------------------------------------------------------
LLM CPU Time: 4.739023208618164