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: #ainft
@htxglobalannouncementchannel · Post #14511 · 12.02.2026 г., 04:52
📘Understanding #Web3 AI with #AINFT From #ChatGPT to #Claude, we break down how top #AI models work — and how AINFT unifies them on one platform.🤖 No hype. Just clarity. 🗓 12 Feb · 8AM (UTC) 📍 Venue: HTX English Telegram Group ✈️Telegram | ✖️X ✅Announcements
@CryptoM · Post #65388 · 13.04.2026 г., 04:14
🚀 AINFT Platform Surpasses 700,000 Users, Advances in Web3 AI The AINFT platform has officially exceeded 700,000 users, according to official data. According to Odaily, the growing user base and the continuous enhancement of AI model capabilities are propelling it to become a leading AI platform in the Web3 sector. AINFT currently offers users AI models ready for production and fully supports the execution of on-chain automated workflows, facilitating a rapid transition from creative ideas to on-chain implementation. Leveraging its expanding community and open technical architecture, AINFT aims to lower the barriers to using Web3 AI, enabling more efficient deployment of innovative applications. #AINFT#700000Users#Web3#AIPlatform#AI#Blockchain#OnChain#AutomatedWorkflows#Web3AI#Innovation#Technology#Community
@CryptoM · Post #64620 · 09.04.2026 г., 11:35
🚀 AINFT Transitions to B.AI Brand Focused on Agent Finance The official Twitter account of AINFT will transition to B.AI starting today. According to ChainCatcher, the B.AI brand aims to advance Agent Finance, which involves AI Agents autonomously managing funds, executing trades, and optimizing returns, thereby granting artificial intelligence true financial autonomy and accelerating the realization of Artificial General Intelligence (AGI). To ensure a smooth transition for the community, the brand will implement phased upgrades to avoid the impact of a one-time switch. During this process, AINFT will continue to operate as a core sub-brand within the B.AI ecosystem. All content, technological iterations, and community activities related to AINFT will be migrated to the new platform @AINFTcom. #B_AI#Agent_Finance#AI_Agents#Artificial_Intelligence#AGI#Technology_Transition#AINFT#Financial_Autonomy#Blockchain#Crypto