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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 #64901 · 10.04.2026 г., 08:11

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🚀 Praemia REIM France Fund Resumes Secondary Market Trading A fund managed by Praemia REIM France has resumed allowing investors to offer their shares on a secondary market after previously halting redemptions earlier this year. Bloomberg posted on X, highlighting the fund's decision to reopen trading opportunities for its investors. This move comes as part of the fund's strategy to provide liquidity options to its shareholders, following a period of restricted access. The fund's management aims to enhance investor confidence and stabilize its operations by facilitating secondary market transactions. The reopening is expected to impact investor sentiment positively, offering a pathway for those seeking to adjust their investment portfolios. #PraemiaREIM#FranceFund#SecondaryMarket#Trading#Investors#Liquidity#Redemptions#Bloomberg#InvestorSentiment#InvestmentPortfolios#FundManagement

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Crypto M - Crypto News

@CryptoM · Post #65324 · 12.04.2026 г., 23:11

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🚀 Bitwise Amends Spot Hyperliquid ETF Proposal with SEC Bitwise Asset Management has submitted a second amendment for its proposed spot Hyperliquid ETF to the U.S. Securities and Exchange Commission as of April 10. According to NS3.AI, the amendment outlines a 0.67% annual management fee and introduces Flowdesk and Wintermute as approved HYPE trading counterparties, while removing A1 from the list. Anchorage Digital Bank remains the custodian for the fund. The ETF is set to trade on NYSE Arca under the ticker BHYP, with plans to stake the majority of its HYPE holdings while maintaining a 30% liquidity reserve for redemptions. #Bitwise#AssetManagement#HyperliquidETF#SEC#Amendment#ManagementFee#Flowdesk#Wintermute#A1#AnchorageDigitalBank#NYSEArca#BHYP#HYPE#LiquidityReserve#Redemptions

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#bitwise #assetmanagement #hyperliquidetf #sec #amendment #managementfee #flowdesk #wintermute #a1 #anchoragedigitalbank #nysearca #bhyp #hype #liquidityreserve #redemptions