Најди сличен содржај

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

Hashtags

#pydantic #libs

Резултати

Пронајдени 2 слични објави

Пребарај: #gamblinglaws

当前筛选 #gamblinglaws清除筛选

Crypto M - Crypto News

@CryptoM · Post #65088 · 10.04.2026 г., 23:40

Најди слично Погледај

🚀 Federal Judge Halts Arizona's Arraignment of Kalshi Over Prediction Market Contracts A federal judge has issued a temporary restraining order preventing Arizona from proceeding with the arraignment of Kalshi on 20 criminal charges related to its prediction market contracts. According to NS3.AI, District Judge Michael Liburdi ruled that Arizona cannot conduct Kalshi's arraignment scheduled for Monday, April 13. The order prohibits Arizona from applying its gambling laws to contracts listed on designated contract markets regulated by the Commodity Futures Trading Commission (CFTC). The CFTC, which has filed a lawsuit against Arizona and two other states, contends that these event contracts are considered swaps under federal oversight. #FederalJudge#Arizona#Kalshi#PredictionMarket#Contracts#TemporaryRestrainingOrder#GamblingLaws#CommodityFuturesTradingCommission#CFTC#Lawsuit#Swaps

Hashtags

#federaljudge #arizona #kalshi #predictionmarket #contracts #temporaryrestrainingorder #gamblinglaws #commodityfuturestradingcommission #cftc #lawsuit #swaps

Crypto M - Crypto News

@CryptoM · Post #64533 · 09.04.2026 г., 06:35

Најди слично Погледај

🚀 Federal Agencies Challenge Arizona's Gambling Laws Against Kalshi The Commodity Futures Trading Commission (CFTC) and the Department of Justice have requested a federal court to prevent Arizona from applying its gambling laws to Kalshi. According to NS3.AI, the agencies argue that contracts related to sports and elections are federally regulated swaps. Arizona has initiated criminal charges against Kalshi, with an arraignment set for April 13. Should the courts agree with the federal perspective, prediction markets could potentially function across the United States under a unified federal framework, rather than being subject to individual state gambling regulations. #FederalAgencies#Arizona#GamblingLaws#Kalshi#CFTC#DepartmentOfJustice#FederalCourt#SportsContracts#ElectionContracts#PredictionMarkets#FederalRegulation#StateGamblingRegulations

Hashtags

#federalagencies #arizona #gamblinglaws #kalshi #cftc #departmentofjustice #federalcourt #sportscontracts #electioncontracts #predictionmarkets #federalregulation #stategamblingregulations