Input path: /home/debian/html/nutritwin/output_llm/6613e02912409/input.json Output path: /home/debian/html/nutritwin/output_llm/6613e02912409/output.json Input text: Une salade verte avec du saumon fumé un oeuf poché et deux ou trois petits quartiers de tomates 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: Une salade verte avec du saumon fumé un oeuf poché et deux ou trois petits quartiers de tomates ================================================================================================================================== ==================================== Prompt ============================================= Identify in this list of intents: ["Capture the user food consumption", "Capture the user physical activity", "Other intent"], the intents of the prompt: ###Une salade verte avec du saumon fumé un oeuf poché et deux ou trois petits quartiers de tomates###. Format the result in JSON format: {intents: []}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- { "intents": ["Capture the user food consumption"] } ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ { "intents": ["Capture the user food consumption"] } ------------------------------------------------------ ------------------------ After simplification ------------------------ {"intents": ["Capture the user food consumption"]} ---------------------------------------------------------------------- ==================================== Prompt ============================================= I need to identify food information from sentences. Analyze the following french sentence: "Une salade verte avec du saumon fumé un oeuf poché et deux ou trois petits quartiers de tomates". I want to identify for the food or beverage: the name, the type, the quantity for each ingredient and, if it exists, identify the brand, the cooking mode and the company name. Containers, like "canette" or "verre", are quantities and not ingredients or food product. "Portions", like "tranche", are quantities. "Quantity" is in french. "Company" is the company of the brand. "Quignon" is a quantity. Ignore what it is not connected to nutrition, beverage or food. Music and is not nutrition. Extract how the product is consumed. In the name, ignore the level of cooking mode. When brand is not specified and the product is very well-known (like "Coca-Cola"), provide the brand name in "brand", otherwise set "brand" to "". Ignore the actions. The restaurants are not brand. Identify what type of food. Ignore food with a negative verb, ex "Je n'ai pas pris de viande". Do not extract ingredients for product with a brand. If the food or beverage consumption is in the past, the event is a "declaration", for example: "J'ai mangé du pain", the event is a declaration. If the food or beverage consumption will be in the future or even soon, the event is an "intent", for example: "Je vais manger du pain", the event is an intent. Otherwise the event is unknown. Map the event of eating on ["intent", "declaration", "unknown"]. Identify the time of day when the foods were eaten and map it on "petit-déjeuner", "déjeuner", "grignotage" or "dîner". Format the result in french in JSON in an array of tuples {"name":, "quantity":, "cooking":, "brand":, "company":, "type":, "time":, "event":}. ========================================================================================= ------------------------------ LLM Raw response ----------------------------- Based on your instructions, here's the analysis of the sentence "Une salade verte avec du saumon fumé, un oeuf poché et deux ou trois petits quartiers de tomates". ```json [ { "name": "salade verte", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "legume", "time": "unknown", "event": "unknown" }, { "name": "saumon fumé", "quantity": "du", "cooking": "fumé", "brand": "", "company": "", "type": "poisson", "time": "unknown", "event": "unknown" }, { "name": "oeuf", "quantity": "un", "cooking": "poché", "brand": "", "company": "", "type": "oeuf", "time": "unknown", "event": "unknown" }, { "name": "tomates", "quantity": "deux ou trois petits quartiers", "cooking": "", "brand": "", "company": "", "type": "legume", "time": "unknown", "event": "unknown" } ] ``` The sentence does not provide information about the time of day when the food was eaten, nor does it indicate whether the eating event is an intent, a declaration, or unknown. Therefore, these fields are marked as "unknown". ----------------------------------------------------------------------------- ----------------- Make it compliant ------------------ Based on your instructions, here's the analysis of the sentence "Une salade verte avec du saumon fumé, un oeuf poché et deux ou trois petits quartiers de tomates". ```json [ { "name": "salade verte", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "legume", "time": "unknown", "event": "unknown" }, { "name": "saumon fumé", "quantity": "du", "cooking": "fumé", "brand": "", "company": "", "type": "poisson", "time": "unknown", "event": "unknown" }, { "name": "oeuf", "quantity": "un", "cooking": "poché", "brand": "", "company": "", "type": "oeuf", "time": "unknown", "event": "unknown" }, { "name": "tomates", "quantity": "deux ou trois petits quartiers", "cooking": "", "brand": "", "company": "", "type": "legume", "time": "unknown", "event": "unknown" } ] ``` The sentence does not provide information about the time of day when the food was eaten, nor does it indicate whether the eating event is an intent, a declaration, or unknown. Therefore, these fields are marked as "unknown". ------------------------------------------------------ ------------------------ After simplification ------------------------ [ { "name": "salade verte", "quantity": "une", "cooking": "", "brand": "", "company": "", "type": "legume", "time": "unknown", "event": "unknown" }, { "name": "saumon fumé", "quantity": "du", "cooking": "fumé", "brand": "", "company": "", "type": "poisson", "time": "unknown", "event": "unknown" }, { "name": "oeuf", "quantity": "un", "cooking": "poché", "brand": "", "company": "", "type": "oeuf", "time": "unknown", "event": "unknown" }, { "name": "tomates", "quantity": "deux ou trois petits quartiers", "cooking": "", "brand": "", "company": "", "type": "legume", "time": "unknown", "event": "unknown" }] ---------------------------------------------------------------------- --------------------------------- LLM result ----------------------------------- {'response': [{'name': 'salade verte', 'quantity': 'une', 'cooking': '', 'brand': '', 'company': '', 'type': 'legume', 'time': 'unknown', 'event': 'unknown'}, {'name': 'saumon fumé', 'quantity': 'du', 'cooking': 'fumé', 'brand': '', 'company': '', 'type': 'poisson', 'time': 'unknown', 'event': 'unknown'}, {'name': 'oeuf', 'quantity': 'un', 'cooking': 'poché', 'brand': '', 'company': '', 'type': 'oeuf', 'time': 'unknown', 'event': 'unknown'}, {'name': 'tomates', 'quantity': 'deux ou trois petits quartiers', 'cooking': '', 'brand': '', 'company': '', 'type': 'legume', 'time': 'unknown', 'event': 'unknown'}], 'cost': 0.07866} -------------------------------------------------------------------------------- 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 ---------------------------------------------------- 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 '% saumon fume %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Saumon Fumé - saumon fume - - - 11676 - - - CIQ#d8453997de6adf67fd709f2e16e4a09f Röstis au Saumon Fumé - rosti saumon fume - - - 12 - - - KCA#14382263fff55c2e867e77149a5dc44e Salade de Saumon Fumé et Sauce au Tamarin - salade de saumon fume sauce tamarin - - - 220 - - - KCA#c5784931561a3c9bf01b76742038638a Bruschette au Saumon Fumé - bruschette saumon fume - au Fromage frais et à la roquette - - 29 - - - KCA#f4639ed3001f45c9e7e0569913f5f131 Mille-feuille Saumon Fumé - mille feuille saumon fume - Fromage frais - - 12 - - - KCA#872e1faa5af3b5a1af0abf16cc535dd5 ---------------------------------------------------- ERROR: Wrong quantity: '' ERROR: no solution for picto in the first solution 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 '% oeuf %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Oeuf - oeuf - cru - - 177 - - - CIQ#89c78a1c04879b2ae973694f50092c79 Oeuf - oeuf - dur - - 0 - - - CIQ#fda269f79263c80adf5b9b2c3c29c1d7 Oeuf - oeuf - poché - - 0 - - - CIQ#8d04a52d9c575bdba000c6f1cf343ab0 Oeuf - oeuf - en poudre - - 0 - - - CIQ#f4b4ef030ae3fcf5bbfea0a792a9ab66 Oeuf - oeuf - à la coque - - 3414 - - - CIQ#37567ba433b1d5278fcb1a7813128c96 Oeuf - oeuf - blanc, blanc d'oeuf - - 0 - - - CIQ#f8541a0a53cfc718c4be702af74b13a6 Oeuf - oeuf - jaune, jaune d'oeuf - - 0 - - - CIQ#caff0c1a1a02e4d086dd987b784e898a Oeuf - oeuf - au plat, frit, salé - - 0 - - - CIQ#f9852838d9a21ae4940ea5102b58e8d1 Oeuf - oeuf - blanc, blanc d'oeuf, cru - - 0 - - - CIQ#91658f86dcc6220b09b2ffc7d5e4d309 Oeuf - oeuf - jaune, jaune d'oeuf, cru - - 0 - - - CIQ#cab44469339c33f14bf4c536019e8f57 Oeuf - oeuf - au plat, sans matière grasse - - 0 - - - CIQ#36e518c64c0e0c5a908f4674e1587a9c Oeuf - oeuf - brouillé, avec matière grasse - - 0 - - - CIQ#89ffd23269a5b9a6910f6a7bb1a17945 Oeuf - oeuf - blanc, blanc d'oeuf, en poudre - - 0 - - - CIQ#6dc23efe8a247a89ac865e3539278bb1 Oeuf - oeuf - jaune, jaune d'oeuf, en poudre - - 0 - - - CIQ#20ab10b969e15e835fce7d54c1815eeb Oeuf Dur - oeuf dur - - - 34213 - - - KCA#0c9196f2d28e211ac0aeb81d4c9361a9 Oeuf Poché - oeuf poche - - - 645 - - - KCA#1759edc574d011bf3a8af743ed941e6e Oeuf d'Oie - oeuf oie - cru - - 0 - - - CIQ#d5a0273c1cb314a819952b4272379b24 Oeuf Miroir - oeuf miroir - - - 11945 - - - KCA#5cf9cdac852c9777e406442fcfd51315 Oeufs Panés - oeuf pane - - - 15 - - - KCA#476eea019750878ec03fbc60bcfa9020 Oeufs Frits - oeuf frit - aux Tomates Provençales - - 13 - - - KCA#1939ad70c8a272d6285ac0509778f087 ---------------------------------------------------- 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 %' AND (V_NormTrademark = '' OR V_NormTrademark IS NULL) ------------- Found solution (max 20) -------------- Tomate - tomate - crue - - 50564 - - - CIQ#9019c33adc1aff1aeff07888f760e3dc Tomate - tomate - purée - - 0 - - - CIQ#98e08e3b00fecca745d7da29e1015a95 Tomate - tomate - pulpe - - 0 - - - CIQ#fd785fdebdb36567c615d2cf46456ffd Tomate - tomate - concentré - - 0 - - - CIQ#7020e6d5e5bd9e09aaa1661220ba09b7 Tomate - tomate - pelée, égouttée - - 0 - - - CIQ#e42ed02a1db9c324a72333e04d401dc1 Tomate - tomate - double concentré - - 0 - - - CIQ#316f9d6fdf5ec84b18998fae96416e09 Tomate - tomate - séchée, à l'huile - - 0 - - - CIQ#b7e1592c157fef2c1429cdc04e65f429 Tomate - tomate - rôtie/cuite au four - - 0 - - - CIQ#abc1ee10e1ef1b8d9ea01e5cf5081ac9 Tomate - tomate - pulpe et peau, rôtie/cuite au four - - 0 - - - CIQ#a670b9fa38af8c6557b321a08d7ab367 Tomate Ronde - tomate ronde - crue - - 0 - - - CIQ#684dc9134dc864e3c83f5330fa9965d4 Tomate Farcie - tomate farcie - - - 1889 - - - CIQ#6662d127dcc7f87a176e7cda4540b6d5 Tomate Cerise - tomate cerise - crue - - 0 - - - CIQ#9f76e2172737f480f1c9b66f3627bfb0 Tomate Grappe - tomate grappe - crue - - 0 - - - CIQ#2bdccc054e39de9382dcb2ff97b1204d Tomate Cerise - tomate cerise - tomate cerise - - 0 - - - KCA#fc7d1647e177b261c9a22262037f6216 Tomate Séchée - tomate sechee - tomate séchée - - 0 - - - KCA#1dfa8e1ad113a5175e6a3ba4bee46416 Tomates au Four - tomate four - au four - - 0 - - - KCA#7bd06a9534bdcb97e7af0143ac0124d5 Tomates Farcies - tomate farcie - tomates farcies - - 0 - - - KCA#6e01a7596f6a74b9bca3e51ca2721e81 Tomates Tartares - tomate tartare - tomates tartares - - 0 - - - KCA#e15190c59aa8508125d81de65be88670 Tomate Concentrée - tomate concentree - tomate concentrée - - 0 - - - KCA#22854ad0ad81beeccc0841c1f0c5d66c Tomates Provençales - tomate provencale - tomates provençales - - 0 - - - KCA#799358a4b450be03bfd4014d3908c6dc ---------------------------------------------------- ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: Wrong quantity: '2 ou 3 petit quartier' ERROR: no solution for picto in the first solution --------------------------------- final result ----------------------------------- {'prompt': 'Une salade verte avec du saumon fumé un oeuf poché et deux ou trois petits quartiers de tomates', 'intents': ['Capture the user food consumption'], 'model': 'mistral-large-latest', 'solutions': {'nutrition': [{'name': 'Salade Verte', 'normName': ' salade verte ', 'comment': 'avec vinaigrette', 'normComment': ' avec vinaigrette ', 'rank': 61586, 'id': 'KCA#4ab5b82c387924b3ce222cda9fdf1f3e', 'quantity': 'une', 'quantityLem': '1', 'pack': ['SAL.w170'], 'type': 'legume', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'unknown', 'serving': 'SAL-100', 'posiNormName': 0}, {'name': 'Saumon Fumé', 'normName': ' saumon fume ', 'comment': '', 'normComment': '', 'rank': 11676, 'id': 'CIQ#d8453997de6adf67fd709f2e16e4a09f', 'quantity': 'du', 'quantityLem': '', 'pack': ['TR7.w35'], 'type': 'poisson', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'unknown', 'serving': '', 'posiNormName': 0}, {'name': 'Oeuf', 'normName': ' oeuf ', 'comment': 'cru', 'normComment': ' cru ', 'rank': 177, 'id': 'CIQ#89c78a1c04879b2ae973694f50092c79', 'quantity': 'un', 'quantityLem': '1', 'pack': ['OEU.w60'], 'type': 'oeuf', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'unknown', 'serving': 'OEU-100', 'posiNormName': 0}, {'name': 'Tomate', 'normName': ' tomate ', 'comment': 'crue', 'normComment': ' crue ', 'rank': 50564, 'id': 'CIQ#9019c33adc1aff1aeff07888f760e3dc', 'quantity': 'deux ou trois petits quartiers', 'quantityLem': '2 ou 3 petit quartier', 'pack': ['TOM.w150'], 'type': 'legume', 'gtin': '', 'gtinRef': '', 'brand': '', 'time': 'unknown', 'event': 'unknown', 'serving': '', 'posiNormName': 0}], 'activity': []}, 'cputime': 10.560400009155273} ---------------------------------------------------------------------------------- LLM CPU Time: 10.560400009155273