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@paintingsplace · Post #4409 · 29.07.2025 г., 15:37
Camille, 1866 by #Monet🇫🇷 Oil on canvas. 231 x 151 cm. Kunsthalle Bremen, Germany Original file 🆔@paintingsplace
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Изворен канал @pythonotes · Post #397 · 12 ное.
Использование Pydantic сегодня стало нормой, и это правильно. Но иногда на ревью вижу, что используют его не всегда корректно. Например, метод BaseModel.model_dump() по умолчанию не преобразует стандартные типы, такие как datetime, UUID или Decimal, в простой сериализуемый для JSON вид. Тогда пишут кастмоный сериализатор для этих типов чтобы функция json.dump() не падала с ошибкой. import uuid from datetime import datetime from decimal import Decimal from uuid import UUID from pydantic import BaseModel class MyModel(BaseModel): id: UUID date: datetime value: Decimal obj = MyModel( id=uuid.uuid4(), date=datetime.now(), value='1.23' ) print(obj.model_dump()) # не подходит для json.dump # { # 'id': UUID('4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1'), # 'date': datetime.datetime(2025, 12, 12, 12, 12, 12, 111111), # 'value': Decimal('1.23') # } # добавляем свой кастомный сериализатор json.dumps(obj.model_dump(), cls=MySerializer) # { # 'id': '4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1', # 'date': '2025-12-12T12:12:12.111111', # 'value': '1.23' # } В данном случае класс MySerializer обрабатывает datetime, UUID и Decimal. Например так: class MySerializer(json.JSONEncoder): def default(self, o): if isinstance(o, Decimal): return str(o) elif isinstance(o, datetime): return o.isoformat() elif isinstance(o, UUID): return str(o) return super().default(o) Специально для тех, кто всё еще так делает - в этом нет необходимости! Pydantic может это сделать сам, просто нужно добавить параметр mode="json". json.dumps(obj.model_dump(mode="json")) # { # 'id': '4f8c1bc4-25fd-40cd-9dbe-2c73639b0dc1', # 'date': '2012-12-12T12:12:12.111111', # 'value': '1.23' # } #pydantic#libs
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Paintings Place
@paintingsplace · Post #4216 · 05.07.2024 г., 14:55
Breakwater at Trouville, Low Tide, 1870 by #Monet🇫🇷 Oil on canvas. 54 x 65 cm. Museum of Fine Arts Budapest Original file 🆔@paintingsplace
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@paintingsplace · Post #4210 · 29.06.2024 г., 19:21
Gardener's House at Antibes, 1888 by #Monet🇫🇷 Oil on fabric. 66.3 x 93 cm. Cleveland Museum of Art, USA Original file 🆔@paintingsplace
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@paintingsplace · Post #4209 · 28.06.2024 г., 16:03
Rough weather at Étretat, 1883 by #Monet🇫🇷 Oil on canvas. 65 x 81 cm. National Gallery of Victoria, Australia Original file 🆔@paintingsplace
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@paintingsplace · Post #3833 · 23.02.2023 г., 13:29
The Red Kerchief, 1868–73 by #Monet🇫🇷 oil on fabric. 99 x 79.8 cm. Cleveland Museum of Art, USA 🆔@paintingsplace
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@paintingsplace · Post #3649 · 30.11.2020 г., 16:21
La maison du pêcheur, Varengeville, 1882 by #Monet🇫🇷 Oil on canvas. 60 × 78 cm Museum Boijmans, Rotterdam 🆔@paintingsplace
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@paintingsplace · Post #3488 · 16.05.2020 г., 12:18
The water-lily pond, 1899 by #Monet🇫🇷 Oil on canvas. 88 × 93 cm. National Gallery, London 🆔@paintingsplace
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@paintingsplace · Post #3411 · 10.03.2020 г., 12:29
Le Déjeuner sur l'herbe, 1866 by #Monet🇫🇷 Oil on canvas. 248 × 217 cm. Musée d'Orsay, Paris 🆔@paintingsplace
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@PixelExperience · Post #9183 · 27.10.2023 г., 23:52
➡️New build available for Xiaomi Mi 10 Lite 5G (monet) 👤 by Marlon Alkan ℹ️ Version: 13 (Plus edition) 📆 Build date: October 27, 2023 20:46 📂 File size: 1.94 GB ⬇️ Download now 💬 View discussion #monet#pixelexperience
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@PixelExperience · Post #9182 · 27.10.2023 г., 23:52
➡️New build available for Xiaomi Mi 10 Lite 5G (monet) 👤 by Marlon Alkan ℹ️ Version: 13 📆 Build date: October 27, 2023 20:43 📂 File size: 1.93 GB ⬇️ Download now 💬 View discussion #monet#pixelexperience
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@PixelExperience · Post #8520 · 07.05.2023 г., 21:11
➡️New build available for Xiaomi Mi 10 Lite 5G (monet) 👤 by Marlon Alkan ℹ️ Version: 13 (Plus edition) 📆 Build date: May 6, 2023 00:10 📂 File size: 1.92 GB ⬇️ Download now 💬 View discussion #monet#pixelexperience
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@PixelExperience · Post #8519 · 07.05.2023 г., 21:10
➡️New build available for Xiaomi Mi 10 Lite 5G (monet) 👤 by Marlon Alkan ℹ️ Version: 13 📆 Build date: May 6, 2023 14:13 📂 File size: 1.91 GB ⬇️ Download now 💬 View discussion #monet#pixelexperience
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