Input path: /home/debian/html/nutritwin/output_llm/672ca2fd3a603/input.json
Output path: /home/debian/html/nutritwin/output_llm/672ca2fd3a603/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": "roquette",
"quantity": "",
"weight": "20",
"cooking": "cru",
"brand": "",
"company": "",
"type": "légume-feuille",
"time": "déjeuner",
"event": "declaration"
},
{
"name": "tomate cerise",
"quantity": "plusieurs",
"weight": "40",
"cooking": "cru",
"brand": "",
"company": "",
"type": "légume-fruit",
"time": "déjeuner",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "plusieurs morceaux",
"weight": "30",
"cooking": "",
"brand": "",
"company": "",
"type": "produit laitier",
"time": "déjeuner",
"event": "declaration"
}
]
```
-----------------------------------------------------------------------------
----------------- Make it compliant ------------------
```json
[
{
"name": "roquette",
"quantity": "",
"weight": "20",
"cooking": "cru",
"brand": "",
"company": "",
"type": "légume-feuille",
"time": "déjeuner",
"event": "declaration"
},
{
"name": "tomate cerise",
"quantity": "plusieurs",
"weight": "40",
"cooking": "cru",
"brand": "",
"company": "",
"type": "légume-fruit",
"time": "déjeuner",
"event": "declaration"
},
{
"name": "fromage",
"quantity": "plusieurs morceaux",
"weight": "30",
"cooking": "",
"brand": "",
"company": "",
"type": "produit laitier",
"time": "déjeuner",
"event": "declaration"
}
]
```
------------------------------------------------------
------------------------ After simplification ------------------------
[ { "name": "roquette", "quantity": "", "weight": "20", "cooking": "cru", "brand": "", "company": "", "type": "légume-feuille", "time": "déjeuner", "event": "declaration" }, { "name": "tomate cerise", "quantity": "plusieurs", "weight": "40", "cooking": "cru", "brand": "", "company": "", "type": "légume-fruit", "time": "déjeuner", "event": "declaration" }, { "name": "fromage", "quantity": "plusieurs morceaux", "weight": "30", "cooking": "", "brand": "", "company": "", "type": "produit laitier", "time": "déjeuner", "event": "declaration" }]
----------------------------------------------------------------------
--------------------------------- LLM result -----------------------------------
{'response': [{'name': 'roquette', 'quantity': '', 'weight': '20', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'légume-feuille', 'time': 'déjeuner', 'event': 'declaration'}, {'name': 'tomate cerise', 'quantity': 'plusieurs', 'weight': '40', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'légume-fruit', 'time': 'déjeuner', 'event': 'declaration'}, {'name': 'fromage', 'quantity': 'plusieurs morceaux', 'weight': '30', 'cooking': '', 'brand': '', 'company': '', 'type': 'produit laitier', 'time': 'déjeuner', 'event': 'declaration'}], 'cost': 0.0}
--------------------------------------------------------------------------------
----------- result to be analyzed -----------
{'name': 'roquette', 'quantity': '', 'weight': '20', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'légume-feuille', 'time': '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 '% roquette %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Pâtes au Poulet et Pesto à la Roquette - pate poulet pesto roquette - - - 299 - - - KCA#e543a9eeece8988466a86dce6165fd32
----------------------------------------------------
ERROR: Wrong quantity: ''
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'tomate cerise', 'quantity': 'plusieurs', 'weight': '40', 'cooking': 'cru', 'brand': '', 'company': '', 'type': 'légume-fruit', 'time': '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 '% tomate cerise %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0
Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216
Tomates Cerises Rôties aux Broccolinis - tomate cerise rotie au broccolini - et graines de citrouille - - 7 - - - KCA#b4e4bc20b89f5f2678a4843a5d0f40ea
----------------------------------------------------
ERROR: no solution for picto in the first solution
ERROR: no solution for picto in the first solution
----------- result to be analyzed -----------
{'name': 'fromage', 'quantity': 'plusieurs morceaux', 'weight': '30', 'cooking': '', 'brand': '', 'company': '', 'type': 'produit laitier', 'time': '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 '% fromage %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL)
------------- Found solution (max 20) --------------
Fromage - fromage - - - 23096 - - - KCA#e2646df35885ba5fc75c406a551c9fbc
Fromage 45% MG - fromage 45% mg - - - 6874 - - - KCA#14ed2b0745972d44df97c5d52a44ac69
Fromage 20% MG - fromage 20% mg - - - 1124 - - - KCA#e32d6c98bf1d5f0a3c853a8f6bb7c3b3
Fromage 70% MG - fromage 70% mg - - - 494 - - - KCA#351b50fec02ae7c43d964985ac9086c6
Fromage de Tête - fromage de tete - - - 258 - - - CIQ#a80997979cdf84066ed5ed98f0291aef
Fromage de Chèvre - fromage de chevre - - - 4537 - - - KCA#87a40b8f006dcb11aafd4e97014ed3f4
Fromage de Brebis - fromage de brebi - pâte pressée - - 0 - - - KCA#58787aec327646598cc7785b49eea77a
Fromage de Brebis - fromage de brebi - pâte molle à croûte fleurie - - 0 - - - KCA#a463c1fc485a4f9d296ce6817ce2c361
Fromage de Chèvre - fromage de chevre - lactique affiné, au lait cru type Crottin - - 250 - - - KCA#2c01ba493c1fac82cabb393f8f3648a7
Fromage Frais 0% MG - fromage frai 0% mg - - - 519 - - - KCA#88f1992eded597fa4d19465f74683774
Fromage Fondu 25% MG - fromage fondu 25% mg - - - 3246 - - - KCA#d149670a9548a1b193a2c41eca41b75f
Fromage Frais 30% MG - fromage frai 30% mg - - - 145 - - - KCA#7925728898a08e85f13745b60bc71320
Fromage Fondu 45% MG - fromage fondu 45% mg - - - 95 - - - KCA#6d8e1e183c61d211654c306cf3835256
Fromage Frais 20% MG - fromage frai 20% mg - - - 81 - - - KCA#0c277d2e26315ef0b610a1ac6f0b2c8f
Fromage Fondu 70% MG - fromage fondu 70% mg - - - 55 - - - KCA#4310db392dfdcff70718326fee922034
Fromage Fondu 65% MG - fromage fondu 65% mg - - - 52 - - - KCA#df8a055eb661bce01be58e63581e3ace
Fromage Blanc Nature - fromage blanc nature - 0% MG - - 24178 - - - CIQ#36c17f9437be97fba469ea7cd5441d75
Fromage Blanc Nature - fromage blanc nature - 3% MG environ - - 10606 - - - CIQ#4a1c07f162d63ff83801c1fb767aafcf
Fromage Blanc Nature - fromage blanc nature - gourmand, 8% MG environ - - 0 - - - CIQ#4ec95c0d5d5444677063a6486af1e1c9
Fromage Fondu aux Noix - fromage fondu au noix - - - 23 - - - KCA#849bff96c14abb755613ff11508fe7c9
----------------------------------------------------
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': 'Pâtes au Poulet et Pesto à la Roquette', 'normName': ' pate poulet pesto roquette ', 'comment': '', 'normComment': '', 'rank': 299, 'id': 'KCA#e543a9eeece8988466a86dce6165fd32', 'quantity': '', 'quantityLem': '', 'pack': ['NO2.k758', 'PEN.k758'], 'type': 'légume-feuille', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 18}, {'name': 'Tomate Cerise', 'normName': ' tomate cerise ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 0, 'id': 'CIQ#9f76e2172737f480f1c9b66f3627bfb0', 'quantity': 'plusieurs', 'quantityLem': 'plusieur', 'pack': ['CER.w150'], 'type': 'légume-fruit', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Fromage', 'normName': ' fromage ', 'comment': '', 'normComment': '', 'rank': 23096, 'id': 'KCA#e2646df35885ba5fc75c406a551c9fbc', 'quantity': 'plusieurs morceaux', 'quantityLem': 'plusieur morceau', 'pack': ['CAM.w20', 'GRU.w20', 'MIM.w20', 'ROC.w20', 'CH2.w20'], 'type': 'produit laitier', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 6.154204607009888}
----------------------------------------------------------------------------------
LLM CPU Time: 6.154204607009888