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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
Пребарај: #sxt
@CoinSonar · Post #243831 · 17.04.2026 г., 20:04
#SXT | Volume spike (USDT PAIR) 91 times the average volume 108.13K USDT traded in 5 min └Buying vol: 85.57K USDT 🟢 Boost score: 7/10 24h Vol: 340.45K USDT (Binance) Price: 0.0185 (-1.8% in 24h)
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@CoinSonar · Post #243732 · 17.04.2026 г., 15:11
#SXT | Volume spike (USDT PAIR) 36 times the average volume 128.56K USDT traded in 15 min └Buying vol: 99.41K USDT 🟢 Boost score: 6/10 24h Vol: 340.45K USDT (Binance) Price: 0.0177 (-1.8% in 24h)
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@binancefuturesignal · Post #35590 · 22.01.2026 г., 22:04
🎯🎯Excellent 83% Profit on #SXT/USDT for all Premium Members 🚀🚀It has crossed all the targets 👁🗨Contact @futurechief to enter the premium group & make daily gains
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@cryptoarsenal · Post #63221 · 17.04.2026 г., 20:06
🎰#SXT activity 🤔 466K USDT in 4 min (10%) on Binance Futures P: 0,01899 ⬆️ (6,03%) Vol 24h: 5,13M USDT Last 5 h ago #CEXTrack
@cryptoarsenal · Post #63220 · 17.04.2026 г., 20:05
🎰#SXT buying 🔫 218K USDT in 5 min (11%) on Binance P: 0,01874 ⬆️ (5,28%) Vol 24h: 2,19M USDT Last 5 h ago #CEXTrack
@cryptoarsenal · Post #63192 · 17.04.2026 г., 15:12
🎰#SXT buying 🔫 135K USDT in 6 min (11%) on Binance P: 0,0178 ⬆️ (4,71%) Vol 24h: 1,34M USDT Last 8 d ago #CEXTrack
@binancefuturesignal · Post #35593 · 23.01.2026 г., 01:52
☑️☑️Below you will see the Futures Premium Signals Results for (22nd January 2026) 🚀#RESOLV-USDT - 158% profit 🚀#AT-USDT - 21% profit 🚀#SXT-USDT - 83% profit 👇Trades That Incurred Loss: ❌ ✅✅Net Profit = 262% Profit 👇🏻Signals Summary ➕Total Signals Sent out - 03 ✔️Profitable Signals - 03 ✖️Total Signals Lost - 00 ◼️Trade cancelled without being executed - 00 ✅✅Net Profit - 262% Profit 👁🗨Contact @futurechief to enter the most profitable Futures Premium Signal Group
@airdropcomic · Post #1971 · 07.05.2025 г., 17:11
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