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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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Coin Sonar

@CoinSonar · Post #244037 · 18.04.2026 г., 07:32

#FLOW | Volume spike (USDT PAIR) 9 times the average volume 140.32K USDT traded in 15 min └Buying vol: 101.79K USDT 🟢 Boost score: 1/10 24h Vol: 1.37M USDT (Binance) Price: 0.038 (-1.3% in 24h)

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Pro Analysis

@proanalysistrader · Post #28394 · 17.01.2025 г., 13:50

#FLOW/USDT analysis : #FLOW has broken out above the 200 EMA and has retraced back to it. The price is currently in a correction phase, consolidating sideways over the support zone. The price has rebounded and broken out of the trendline. Now, the price is expected to resume its bullish momentum and test higher levels. TF : 1D Entry : $0.798 Target : $1.271 SL : $0.620

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American Crypto©

@americancryptotrading · Post #27166 · 25.02.2025 г., 13:36

🇺🇸#FLOW/USDT is attempting to bounce from the lowerborder of the descendingtriangle pattern on the weekly timeframe💁‍♂️ Looking for a recovery🚀 American Crypto©

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Binance crypto champions

@binancecryptochampions · Post #2570 · 05.08.2025 г., 06:05

✴️Free signal-Futures ✴️ ⚡️⚡️#FLOW/USDT⚡️⚡️ Exchanges: Binance Futures, ByBit USDT, KuCoin Futures Signal Type: Regular (Long Leverage: Cross (10.0x) Entry Targets: 1) 0.364 2) 0.353 Take Profit Targets: 1) 0.368 2) 0.374 3) 0.381 Stop Targets: 1) 0.345 🌱 Published By: @Trading_exp🌱

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Binance crypto champions

@binancecryptochampions · Post #2463 · 04.07.2025 г., 07:31

✴️Free signal-Futures ✴️ ⚡️⚡️#FLOW/USDT⚡️⚡️ Exchanges: Binance Futures, ByBit USDT, KuCoin Futures Signal Type: Regular (Long Leverage: Cross (10.0x) Entry Targets: 1) 0.332 2) 0.317 Take Profit Targets: 1) 0.335 2) 0.344 3) 0.354 Stop Targets: 1) 0.310 🌱 Published By: @Trading_exp🌱

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