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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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Pro Analysis

@proanalysistrader · Post #28436 · 30.01.2025 г., 16:10

#BAT/USDT analysis : #BAT is in an uptrend, consistently making new highs while trading above the 200 EMA. Currently, the price is above the support zone and is expected to bounce back from this level, resuming its bullish momentum to test previous highs. TF : 1D Entry : $0.2250 Target : $0.2943 SL : $0.2027

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Pro Analysis

@proanalysistrader · Post #27847 · 17.08.2024 г., 05:11

#BAT/USDT analysis : #BAT is presently consolidating within a channel. The overall trend on the larger timeframes indicates a bearish outlook, suggesting a potential breakout from the channel to continue moving downwards towards lower price levels. It is advisable to wait for a breakout of the channel and a decline below the $0.1564 level for a short position entry. TF : 2H Entry : $0.1564 Target : $0.1313 SL : $0.1640

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Pro Analysis

@proanalysistrader · Post #27722 · 02.07.2024 г., 16:15

#BAT/USDT analysis - #BAT is currently in downtrend, trading below the 200 EMA. The price is in a pullback phase and is projected to test the resistance zone close to the 200 EMA before potentially dropping further to revisit the previous lows. It is recommended to await the price to test the zone before considering a short entry. TF : 4h Entry : $0.1970 Target : $0.1728 SL : $0.2067

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American Crypto©

@americancryptotrading · Post #27581 · 07.04.2026 г., 10:34

🇺🇸#BAT/USDT is testing the lowerboundary of the fallingwedge on the weekly timeframe🧐 A great moment to accumulate🐃 American Crypto©

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American Crypto©

@americancryptotrading · Post #27365 · 04.09.2025 г., 09:49

🇺🇸#BAT/USDT is trending at the s/rzone on the 2D chart👨‍💻 More upside is coming after a bounce🐃 American Crypto©

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American Crypto©

@americancryptotrading · Post #27173 · 03.03.2025 г., 17:12

🇺🇸#BAT/USDT is testing the supportzone on the weekly chart🔍 Bullish priority if we bounce📈 American Crypto©

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American Crypto©

@americancryptotrading · Post #27141 · 03.02.2025 г., 14:58

🇺🇸#BAT/USDT is facing the supportzone on the weekly timeframe💁‍♂️ Pump is expected if we bounce📈 American Crypto©

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