TGINSIGHT SIMILAR POSTS
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
Пребарај: #economicconditions
@CryptoM · Post #64965 · 10.04.2026 г., 12:32
🚀 U.S. March Unadjusted Food Inflation Rate at 2.7% The United States reported an unadjusted food inflation rate of 2.7% for March, according to Jin10. This marks a decrease from the previous rate of 3.1%. The data reflects changes in food prices over the past year, providing insights into the current economic conditions affecting consumers. #US#foodinflation#March#inflationrate#economicconditions#consumerprices
@CryptoM · Post #64459 · 09.04.2026 г., 01:08
🚀 Korean Won Expected to Rebound Amid Lower Oil Prices and Stock Inflows The Korean won is anticipated to recover to levels observed prior to the US-Iran conflict in the second quarter, according to strategists. Bloomberg posted on X, highlighting factors such as declining oil prices and increased foreign investments in stocks as key drivers for this potential rebound. Analysts suggest that these economic conditions could bolster the won's value, reversing the currency's previous downturn. #KoreanWon#OilPrices#StockInflows#USIranConflict#CurrencyRebound#ForeignInvestments#EconomicConditions
@CryptoM · Post #65008 · 10.04.2026 г., 13:37
🚀 Hapvida Aims to Raise $398 Million Through Southern Brazil Operations Sale Hapvida Participacoes e Investimentos is reportedly aiming to raise up to 2 billion reais ($398 million) by selling its operations in southern Brazil. Bloomberg posted on X that the health-care corporation is looking to reduce its debt through this sale. The move comes as part of Hapvida's broader strategy to streamline its operations and improve financial stability. The company has not yet disclosed specific details about potential buyers or the timeline for the sale. This decision reflects a growing trend among corporations to optimize their portfolios and focus on core areas amid challenging economic conditions. #Hapvida#SouthernBrazil#Sale#Healthcare#DebtReduction#FinancialStability#CorporateStrategy#EconomicConditions#Bloomberg#PortfolioOptimization