Input path: /home/debian/html/nutritwin/output_llm/674ef41b954f3/input.json Output path: /home/debian/html/nutritwin/output_llm/674ef41b954f3/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": "poulet", "quantity": "", "weight": "150", "cooking": "grillé", "brand": "", "company": "", "type": "viande", "time": "déjeuner", "event": "declaration" }, { "name": "brocoli", "quantity": "", "weight": "200", "cooking": "rôti", "brand": "", "company": "", "type": "légume", "time": "déjeuner", "event": "declaration" } ] ``` ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ ```json [ { "name": "poulet", "quantity": "", "weight": "150", "cooking": "grillé", "brand": "", "company": "", "type": "viande", "time": "déjeuner", "event": "declaration" }, { "name": "brocoli", "quantity": "", "weight": "200", "cooking": "rôti", "brand": "", "company": "", "type": "légume", "time": "déjeuner", "event": "declaration" } ] ``` ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "poulet", "quantity": "", "weight": "150", "cooking": "grillé", "brand": "", "company": "", "type": "viande", "time": "déjeuner", "event": "declaration" }, { "name": "brocoli", "quantity": "", "weight": "200", "cooking": "rôti", "brand": "", "company": "", "type": "légume", "time": "déjeuner", "event": "declaration" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'poulet', 'quantity': '', 'weight': '150', 'cooking': 'grillé', 'brand': '', 'company': '', 'type': 'viande', 'time': 'déjeuner', 'event': 'declaration'}, {'name': 'brocoli', 'quantity': '', 'weight': '200', 'cooking': 'rôti', 'brand': '', 'company': '', 'type': 'légume', 'time': 'déjeuner', 'event': 'declaration'}], 'cost': 0.0} -------------------------------------------------------------------------------- ----------- result to be analyzed ----------- {'name': 'poulet', 'quantity': '', 'weight': '150', 'cooking': 'grillé', 'brand': '', 'company': '', 'type': 'viande', '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 '% poulet %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Poulet - poulet - - - 8795 - - - KCA#2b8a36538eae9db1a126faeda234fa36 Poulet - poulet - escalope panée - - 0 - - - CIQ#bae631670e62c77d45034eff236a1db0 Poulet - poulet - croquette panée ou nuggets - - 0 - - - CIQ#d8096293142be1614c2e2d792fb0d135 Poulet - poulet - cuisse, viande et peau, cru - - 0 - - - CIQ#7de39f1b0aefe1479f456f2eeffe360d Poulet - poulet - filet, sans peau, sauté/poêlé - - 0 - - - CIQ#bdeff1663af053ba0ef4dfc523f03224 Poulet - poulet - cuisse, viande, rôti/cuit au four - - 0 - - - CIQ#2760b1ebd16b8f276e8dc49751990e69 Poulet - poulet - viande et peau, rôti/cuit au four - - 0 - - - CIQ#ea614234aa25e31d1b1bd4f1dbbbce1a Poulet - poulet - filet, sans peau, sauté/poêlé, bio - - 0 - - - CIQ#8d157895c46690cf07811470dcb92052 Poulet - poulet - cuisse, viande, bouilli/cuit à l'eau - - 0 - - - CIQ#698505f6db4f71029aeeab2e3a06e19c Poulet - poulet - manchons marinés, rôtis/cuits au four - - 0 - - - CIQ#960d39abb32cc5f3c56126dfd2e03e8f Poulet - poulet - aile, viande et peau, rôti/cuit au four - - 0 - - - CIQ#f9c58ba832cc3603548917e8084ee304 Poulet - poulet - cuisse, viande et peau, rôtie/cuite au four - - 0 - - - CIQ#124b0a1b1080244ea5c3ca52f7866c32 Poulet - poulet - poitrine, viande et peau, rôti/cuit au four - - 0 - - - CIQ#e3de333fab10eb5afe51680b6cb1d486 Poulet - poulet - cuisse, viande et peau, bouilli/cuit à l'eau - - 0 - - - CIQ#b2d906c4947a322c9b05108f5b1a0ae3 Poulet Rôti - poulet roti - - - 10622 - - - KCA#8f4155b2705cf340fe3f2777bcfbe7ea Poulet Frit - poulet frit - - - 2594 - - - KCA#dd0ae748ef0c8413ce4c89f25d8229d1 Poulet Marengo - poulet marengo - - - 57 - - - KCA#f706ed1fc95afe84c20df295d5844034 Poulet à l'Ail - poulet ail - - - 51 - - - KCA#ada607ff9b9084654b8663e6d96eaa93 Poulet au Miel - poulet miel - et salade de Fenouil et Céleri à la crème - - 43 - - - KCA#10b8495a1834253e87733dc33ffcfd80 Poulet au Curry - poulet curry - - - 1421 - - - KCA#89f6cd1b00b67266a7db24596103e009 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ----------- result to be analyzed ----------- {'name': 'brocoli', 'quantity': '', 'weight': '200', 'cooking': 'rôti', 'brand': '', 'company': '', 'type': 'légume', '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 '% brocoli %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Brocoli - brocoli - à la vapeur - - 0 - - - CIQ#3fa042802857aa2f2504b1aaef1dacfa Brocoli - brocoli - bouilli/cuit à l'eau, fondant - - 0 - - - CIQ#c7a3c783c0bf6e14b06a5f3ee020ecfd Brocoli - brocoli - bouilli/cuit à l'eau, croquant - - 0 - - - CIQ#862d184e7a78d3cd03e40ac7e0c66fbc Purée de Brocolis - puree de brocoli - - - 462 - - - KCA#0997f21641b0a965f425a2eeed3e672d Gratin de Brocolis - gratin de brocoli - - - 290 - - - KCA#deeca5007f2b6f27a90fc59caba8284e Spaghetti au Brocoli, - spaghetti brocoli - au Parmesan et à l'ail - - 59 - - - KCA#f198684f97ffadd619f67e4bf8502ed2 Chou Romanesco ou Brocoli à Pomme - chou romanesco ou brocoli pomme - - - 0 - - - CIQ#cd7d183e7c242a6a3e015bb67741795a Galette de Choux-fleur et Brocolis Surgelées - galette de chou fleur brocoli surgelee - - - 41 - - - KCA#1142dba527bdbfe4e4ff6bfc248bf402 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '' 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': 'Poulet', 'normName': ' poulet ', 'comment': '', 'normComment': '', 'rank': 8795, 'id': 'KCA#2b8a36538eae9db1a126faeda234fa36', 'quantity': '', 'quantityLem': '', 'pack': ['POU.w100', 'CUI.w200'], 'type': 'viande', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}, {'name': 'Brocoli', 'normName': ' brocoli ', 'comment': 'à la vapeur', 'normComment': ' vapeur ', 'rank': 0, 'id': 'CIQ#3fa042802857aa2f2504b1aaef1dacfa', 'quantity': '', 'quantityLem': '', 'pack': ['BRC.w300'], 'type': 'légume', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'déjeuner', 'event': 'declaration', 'serving': '', 'posiNormName': 0}], 'activity': [], 'response': {}}, 'cputime': 4.068478345870972} ---------------------------------------------------------------------------------- LLM CPU Time: 4.068478345870972