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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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Crypto M - Crypto News

@CryptoM · Post #65371 · 13.04.2026 г., 02:55

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🚀 BTC Decline Affects Whale's Investment Strategy On April 13, BTC experienced a slight decline, impacting the HYPE token, which fell before recovering above $41. According to BlockBeats, a major investor known for profiting from a long BTC exchange rate strategy is facing pressure, with a capital withdrawal of $1.9 million this week. The investor currently holds a BTC long position with 40x leverage, valued at $30.06 million at an average price of $70,557, and a HYPE short position with 5x leverage, valued at $23.03 million at an average price of $38.93. The positions were established during a previous HYPE surge, with the full setup completed by March 20, totaling approximately $53 million. Since the establishment of these positions, the investor has incurred a net loss of about $1.32 million, with the portfolio yet to achieve positive returns. #BTC#HYPE#WhaleInvestment#Leverage#CapitalWithdrawal#CryptoStrategy#BTCDecline#InvestmentLoss#CryptoMarket

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Crypto M - Crypto News

@CryptoM · Post #64862 · 10.04.2026 г., 05:14

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🚀 Cryptocurrency Whale Faces Losses Amid Market Fluctuations On April 10, according to BlockBeats, monitoring by Hyperinsight revealed that a major cryptocurrency investor, known for leveraging market downturns, has faced challenges with their trading strategy. This investor has historically profited by betting on the 'BTC/altcoin' exchange rate during market declines. However, with Bitcoin stabilizing and HYPE gaining strength, surpassing $40 with a daily increase of over 5%, both sides of the investor's strategy are under pressure, resulting in a daily capital withdrawal of $900,000. Currently, the investor holds a long position in Bitcoin with a 40x leverage, valued at $30.4 million, and a short position in HYPE with a 5x leverage, valued at $23.2 million. The investor began positioning during HYPE's previous surge and completed their setup by March 20, with a total scale of approximately $53 million. Since then, they have incurred a net loss of about $300,000, without achieving positive returns. Previously, this investor employed a similar strategy, investing around $50 million to go long on Bitcoin while shorting eight other cryptocurrencies, including ETH, XRP, and ADA. This approach proved successful, maintaining a total cycle profit of approximately $37.1 million. #Cryptocurrency#Whale#MarketFluctuations#Bitcoin#HYPE#Leverage#CapitalWithdrawal#BTC#Altcoin#InvestorLosses#CryptoStrategy#BlockBeats#Hyperinsight#XRP

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#cryptocurrency #whale #marketfluctuations #bitcoin #hype #leverage #capitalwithdrawal #btc #altcoin #investorlosses #cryptostrategy #blockbeats #hyperinsight #xrp