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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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AI & Law

@ai_and_law · Post #222 · 23.01.2024 г., 08:04

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Controversial Changes to EU's AI Act Allow Facial Recognition Without Judicial Approval Hello, everyone! Recent alterations to the AI Act, initially endorsed in December, are stirring controversy as they permit law enforcement to employ facial recognition on recorded video without judicial consent. German MEP Svenja Hahn decries these last-minute changes, asserting that they undermine civil rights and draw parallels with practices in authoritarian states. The revisions, concluded on December 22, diverge from the initial agreement, which mandated stricter conditions and judicial oversight for facial recognition use. Critics express concerns about post-facial recognition technology, emphasizing the need for clarity on privacy and oversight. The final text faces scrutiny on January 24, with potential amendments requiring further legislative attention. #FacialRecognition#AIAct#EuropeanUnion#CivilRights#PrivacyConcerns

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Crypto M - Crypto News

@CryptoM · Post #64920 · 10.04.2026 г., 09:33

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🚀 Meta's Legal Challenges May Impact Long-Term Share Recovery Meta Platforms Inc. is facing legal challenges that could affect its long-term stock recovery. Wall Street Journal (Markets) posted on X that the company, known for its social media platforms like Facebook and Instagram, is dealing with various lawsuits that may influence investor sentiment and stock performance. These legal issues include antitrust cases and privacy concerns, which have been ongoing for some time. The company's shares have experienced fluctuations due to these legal battles, and analysts suggest that the outcomes could have significant implications for Meta's market position. While the company continues to innovate and expand its services, the legal environment remains a critical factor for investors to consider. Meta's leadership is focused on addressing these challenges while maintaining its growth trajectory. However, the uncertainty surrounding the legal proceedings could lead to volatility in the stock market. Investors are advised to keep a close watch on developments in these cases as they unfold. #Meta#LegalChallenges#StockRecovery#Antitrust#PrivacyConcerns#InvestorSentiment#MarketVolatility#WallStreetJournal#Facebook#Instagram#StockPerformance#InvestorWatch

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