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 1 слични објави

Пребарај: #fiscalexpansion

当前筛选 #fiscalexpansion清除筛选

Crypto M - Crypto News

@CryptoM · Post #64792 · 10.04.2026 г., 00:06

Најди слично Погледај

🚀 Global Economic Concerns Amid Middle East Tensions According to Jin10, a report by China International Capital Corporation (CICC) highlights that since March, concerns over conflicts involving the U.S., Israel, and Iran, along with potential blockages in the Strait of Hormuz, have triggered a market-wide risk aversion. This has led to declines in most asset classes, excluding oil and agricultural products, raising fears of stagflation. CICC acknowledges the undeniable impact of supply shocks, which could potentially slow overall economic growth. However, if the Strait of Hormuz gradually reopens, the geopolitical risks might exacerbate the K-shaped economic divergence, leading to increased investment activity while cooling consumption and employment. In the context of accelerated AI substitution and an inherently cooling labor market, inflation in resource and capital goods is unlikely to create a 'wage-inflation' spiral. From this perspective, CICC suggests that the mainstream narrative of global stagflation might be overstated. The report reiterates the view held since the beginning of the year that, amid an intensified K-shaped economy, liquidity recovery from its trough, and sustained fiscal expansion, the global nominal economic cycle driven by investment is expected to resume its upward trend. This will likely lead to continued rebalancing of global funds across sectors, asset classes, and regions, benefiting a range of physical assets and emerging markets. #GlobalEconomy#MiddleEastTensions#GeopoliticalRisk#Stagflation#SupplyShock#EconomicGrowth#KShapedRecovery#Investment#AIImpact#LaborMarket#Inflation#LiquidityRecovery#FiscalExpansion#EmergingMarkets#AssetAllocation

Hashtags

#globaleconomy #middleeasttensions #geopoliticalrisk #stagflation #supplyshock #economicgrowth #kshapedrecovery #investment #aiimpact #labormarket #inflation #liquidityrecovery #fiscalexpansion #emergingmarkets #assetallocation