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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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@CryptoM · Post #65110 · 11.04.2026 г., 02:24

🚀 AI TRENDS | OpenAI's Sam Altman Addresses AI Development Concerns and Recent Incident OpenAI founder Sam Altman has expressed understanding of societal fears regarding the rapid development of artificial intelligence. According to Odaily, Altman acknowledged that the current period is marked by significant technological change, with associated risks escalating to systemic challenges at the societal level. He emphasized that AI power should not be concentrated in a few institutions and advocated for broader distribution through technological democratization and institutional constraints. Addressing a recent incident where his residence was targeted with a Molotov cocktail, Altman admitted to underestimating the impact of public narratives and emotions amid AI-related anxieties. He also acknowledged mistakes in company governance and conflict management, offering apologies for past actions. Furthermore, Altman reiterated his decision to reject Elon Musk's attempts to control OpenAI, ensuring the company's independent development. Previously, it was reported that the OpenAI founder's residence was attacked with a Molotov cocktail. #AI#OpenAI#SamAltman#AIdevelopment#technologicalchange#AIsociety#democratization#institutionalconstraints#Molotovcocktail#publicnarratives#conflictmanagement#ElonMusk#companygovernance#independence

Venture Village Wall 🦄

@venturevillagewall · Post #3649 · 21.12.2024 г., 10:24

Decart Secures $32M Funding Round Decart raises $32M in a funding round on December 19, 2024. The company aims to democratize consumer AI with innovative solutions. Backed by Sequoia Capital and Zeev Ventures, Decart enhances GPU efficiency for AI model training, making advanced AI tools more accessible. It disrupts gaming and entertainment by enabling immersive experience creation from text prompts. Learn more #Decart#Funding#AI#GPU#Gaming#Entertainment#SequoiaCapital#ZeevVentures#ConsumerAI#TextToExperience#Innovation#Platform #2024 #Revolutionary#Technology#Access#Development#Efficiency#Democratization#Tools#Industry