Input path: /home/debian/html/nutritwin/output_llm/6742247a74628/input.json
Output path: /home/debian/html/nutritwin/output_llm/6742247a74628/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 -----------------------------
[
{"name": "riz", "quantity": "portion", "weight": "200", "cooking": "cuit", "brand": "", "company": "", "type": "féculent", "time": "dîner", "event": "declaration"},
{"name": "salade verte", "quantity": "portion", "weight": "50", "cooking": "cru", "brand": "", "company": "", "type": "légume", "time": "dîner", "event": "declaration"}
]
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
[
{"name": "riz", "quantity": "portion", "weight": "200", "cooking": "cuit", "brand": "", "company": "", "type": "féculent", "time": "dîner", "event": "declaration"},
{"name": "salade verte", "quantity": "portion", "weight": "50", "cooking": "cru", "brand": "", "company": "", "type": "légume", "time": "dîner", "event": "declaration"}
]
------------------------------------------------------
------------------------ After simplification ------------------------
[ {"name": "riz", "quantity": "portion", "weight": "200", "cooking": "cuit", "brand": "", "company": "", "type": "féculent", "time": "dîner", "event": "declaration"}, {"name": "salade verte", "quantity": "portion", "weight": "50", "cooking": "cru", "brand": "", "company": "", "type": "légume", "time": "dîner", "event": "declaration"}]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'riz', 'quantity': 'portion', 'weight': '200', 'cooking': 'cuit', 'brand': '', 'company': '', 'type': 'féculent', 'time': 'dîner', 'event': 'declaration'}, {'name': 'salade verte', 'quantity': 'portion', 'weight': '50', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'légume', 'time': 'dîner', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'riz', 'quantity': 'portion', 'weight': '200', 'cooking': 'cuit', 'brand': '', 'company': '', 'type': 'féculent', 'time': 'dîner', '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 '% riz %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Riz - riz - mélange de variétés, blanc, complet, rouge, sauvage,., cru - - 0 - - - CIQ#a07819c9749e64bb8fdf05c82933f975
Riz Thaï - riz thai - non salé - - 0 - - - CIQ#ac2fd71ae23ef149ca342c965d560af3
Riz Sauté - riz saute - - - 1630 - - - KCA#8a7c81299be0e4a1d8a5d55c311ac357
Riz Blanc - riz blanc - cru - - 0 - - - CIQ#5e08f294c544b6dbc1ee7d37a7eb2c96
Riz Rouge - riz rouge - cru - - 0 - - - CIQ#e52c512dd7f9b51c90d048e5efeec56e
Riz Blanc - riz blanc - non salé - - 16469 - - - CIQ#f9b73aa60d2f7f559fce98ce3ac5c13c
Riz Rouge - riz rouge - non salé - - 0 - - - CIQ#82ae14b06516b5eb3b26a705dcb698a3
Riz Blanc - riz blanc - avec poulet - - 0 - - - CIQ#c71662da3d045e64e316f472d5abd627
Riz Jaune - riz jaune - au lait de Coco - - 54 - - - KCA#fce436115e06eeddfc6a6bb946a77317
Riz Blanc - riz blanc - avec légumes et viande - - 0 - - - CIQ#e80ff9a7c8bfefe077463eba05d7d873
Riz Pilaf - riz pilaf - aux Asperges et aux Champignons - - 148 - - - KCA#51cb6cbdd6b1d60180e4df36e1900396
Riz Gluant - riz gluant - - - 670 - - - KCA#a9f8450583c586dd97516af4daa68d98
Riz Jasmin - riz jasmin - - - 515 - - - KCA#82f0e631fc5d3feb05f2cb82664429d4
Riz au Lait - riz lait - - - 2141 - - - CIQ#708312da229435845a51dc66016ac5dc
Riz Complet - riz complet - cru - - 3 - - - CIQ#64df585ce75d5d905c4e92be834170a5
Riz Sauvage - riz sauvage - cru - - 0 - - - CIQ#65668baead4ceadf6f8269416ce5cef5
Riz Basmati - riz basmati - non salé - - 0 - - - CIQ#1145ed25cb9fd225c13765c6cee54de3
Riz Complet - riz complet - non salé - - 0 - - - CIQ#d99bd2e9a1547db20db6b79a89c0c3c9
Riz Sauvage - riz sauvage - non salé - - 0 - - - CIQ#c0c548033695d9c3adf24102b29dcb1b
Riz au Coco - riz coco - au Poivron et à la Coriandre - - 95 - - - KCA#652179cc35ad46dc7fb28650f7f7d732
----------------------------------------------------
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'salade verte', 'quantity': 'portion', 'weight': '50', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'légume', 'time': 'dîner', '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 '% salade verte %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Salade Verte - salade verte - avec vinaigrette - - 61586 - - - KCA#4ab5b82c387924b3ce222cda9fdf1f3e
Salade Verte - salade verte - sans vinaigrette - - 15302 - - - KCA#ffaecdf2b67b1ae9d2055afa2173c027
----------------------------------------------------
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': 'Riz', 'normName': ' riz ', 'comment': 'mélange de variétés, blanc, complet, rouge, sauvage,., cru', 'normComment': ' melange de variete blanc complet rouge sauvage cru ', 'rank': 0, 'id': 'CIQ#a07819c9749e64bb8fdf05c82933f975', 'quantity': 'portion', 'quantityLem': 'portion', 'pack': ['BOR.w200', 'CSS.w20'], 'type': 'féculent', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'dîner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Salade Verte', 'normName': ' salade verte ', 'comment': 'avec vinaigrette', 'normComment': ' avec vinaigrette ', 'rank': 61586, 'id': 'KCA#4ab5b82c387924b3ce222cda9fdf1f3e', 'quantity': 'portion', 'quantityLem': 'portion', 'pack': ['SAL.w170'], 'type': 'légume', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'dîner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.105116128921509}
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LLM CPU Time: 4.105116128921509