TGINSIGHT SIMILAR POSTS
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
Пребарај: #lumia
@CoinSonar · Post #244250 · 18.04.2026 г., 15:30
#LUMIA | Volume spike (USDT PAIR) 45 times the average volume 129.16K USDT traded in 15 min └Buying vol: 88.74K USDT 🟢 Boost score: 6/10 24h Vol: 274.92K USDT (Binance) Price: 0.122 (-1.0% in 24h)
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@CoinSonar · Post #244009 · 18.04.2026 г., 06:18
#LUMIA | Volume spike (USDT PAIR) 116 times the average volume 111.36K USDT traded in 5 min └Buying vol: 70.86K USDT 🟢 Boost score: 4/10 24h Vol: 274.92K USDT (Binance) Price: 0.117 (-1.0% in 24h)
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@CoinSonar · Post #243417 · 17.04.2026 г., 02:09
#LUMIA | Volume spike (USDT PAIR) 44 times the average volume 128.41K USDT traded in 15 min └Selling vol: 66.66K USDT 🔴 Boost score: 1/10 24h Vol: 274.92K USDT (Binance) Price: 0.105 (-1.0% in 24h)
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@cryptoarsenal · Post #63317 · 18.04.2026 г., 15:32
🎰#LUMIA activity 🤔 360K USDT in 2 min (10%) on Binance Futures P: 0,13218 ⬆️ (8,87%) Vol 24h: 3,83M USDT Last 11 d ago #CEXTrack
@cryptoarsenal · Post #63316 · 18.04.2026 г., 15:32
🎰#LUMIA activity 🤔 213K USDT in 2 min (11%) on Binance P: 0,1367 ⬆️ (10,87%) Vol 24h: 2,14M USDT Last 9 h ago #CEXTrack
@cryptoarsenal · Post #62418 · 07.04.2026 г., 19:07
🎰#LUMIA buying 🔫 351K USDT in 5 min (27%) on Binance Futures P: 0,08283 ⬆️ (4,97%) Vol 24h: 1,61M USDT Last 17 d ago #CEXTrack
@tonevents_en · Post #1031 · 28.11.2024 г., 14:15
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