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: #infofi
@swift_airdrops · Post #5907 · 19.07.2025 г., 15:35
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@apksarena · Post #4972 · 28.03.2026 г., 13:40
📰 Tonso AI – Final 3 Campaigns: What Their Latest Updates Actually Mean for You 1. @try_limitless 12000$ $limitless for campaign #limitless 2. @GetYieldFi EDEN boost still running hard on yPRISM vault: 38.8k EDEN/day until March 3 + base tokenized yield (~5.7% APY + YF Points). TVL > $11.6M and growing. Why it matters: Double-dip opportunity (EDEN + vault yield) with only ~8 days left. Simple “why I’m adding now” posts get strong replies and quality Buzz. 3. @multiplifi New highlight: Over $3B credit lines backed by tokenized gold → targeting Middle East gold/equity/RWA markets. Borrow against assets without selling. Why it matters: Real liquidity unlock in a dip. Posts on “tokenized gold as collateral = no forced sales” spark serious discussion & mindshare. These three are the only live ones left. Cysic ZK makes every good post count more (provable impact). Pick one whose latest update actually excites you — post something real about it (your take, personal angle, quick breakdown) while time remains. Which update feels most relevant to you right now? Tria’s TradFi call-out? YieldFi’s EDEN boost? Multipli’s tokenized gold push? Comment below 👇 #TonsoAI#Tria#GetYieldFi#MultipliFi#InfoFi
@venturevillagewall · Post #4176 · 17.02.2025 г., 22:00
Crypto Twitter Buzzes Over Kaito.ai Crypto Twitter is abuzz with excitement around *kaito.ai*, a promising new player in the InfoFi space. After a revealing conversation with *Kaito.ai* CEO Yu Hu and notable investors like Sequoia and Dragonfly, awareness of the platform skyrocketed after the launch of ChatGPT, significantly boosting *Kaito.ai*'s valuation. Plans for collaboration with early user support are underway, enhancing insights for the platform. Additionally, JP Morgan's unexpected $100 million investment in strategy shares after buying Bitcoin emphasizes shifting perspectives on crypto, showcasing that actions may speak louder than words in the financial world. Meanwhile, a dramatic 500 ETH (approx. $1.5M) was burned with a mysterious message, indicating internal disputes within *Kuande Investment*. Stay tuned for further updates! Read more here #Crypto#KaitoAI#InfoFi#Bitcoin#JP Morgan #USD#ETH#Burn#Investment#WhaleAlert#AI#Tech#Market#Finance#Sequoia#Dragonfly#Earnings#Meme#Trends#Analytics