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
#Liquidations🩸
🔴$630,000,000 IN LONG POSITIONS HAS BEEN LIQUIDATED IN THE PAST 60 MINUTES.
🔴According to CoinGlass data, In the past 24 hours, 355 972 traders were liquidated, the total liquidations comes in at $1.60 billion.
🔴The largest single liquidation order happened on Hyperliquid - ETH-USD value $13.38M.
#Liquidations🩸
🔴According to CoinGlass data, In the past 24 hours, 235 510 traders were liquidated, the total liquidations comes in at $1.04 billion.
🔴The largest single liquidation order happened on Hyperliquid - BTC-USD value $31.64M.
⚠️ Never invest more than you can afford to lose.
⚠️ High leverage increases risk — not profit.
⚠️ Don’t chase fast money: greed, FOMO, and impatience are your worst enemies.
⚠️ Breaking your own trading rules is the most dangerous mistake.
#Liquidations
$200 million liquidated from the cryptocurrency market in the past 1 hour.
-Never invest more than what you can afford to lose.
- Don't try to make quick money.
-High Leverage does not give you more money
-The most dangerous mistake is breaking your trading rules.
-FOMO, greed, impatience are the greatest trading enemies.
#Liquidations🩸
🔴In the past 24 hours , 92 275 traders were liquidated , the total liquidations comes in at $301.53 million
🔴The largest single liquidation order happened on Huobi - ETH-USD value $5.70M
⚠️ Never invest more than what you can afford to lose.
⚠️ Don't try to make quick money.
⚠️ High Leverage does not give you more money
#Liquidations
In the past 24 hours , 95 031 traders were liquidated , the total liquidations comes in at $236.84 million
The largest single liquidation order happened on Binance - ETHUSDT value $5.52M
* Never invest more than what you can afford to lose.
* Don't try to make quick money.
* High Leverage does not give you more money.
@Cryptomathh
Okay, here's an analysis of the ETH liquidation map suitable for Twitter, formatted in Markdown:
🚨#ETH Liquidation Map Analysis 🚨
Here's what the liquidation map tells us about potential price action. 👇
1️⃣Main Liquidation Zones: The BIGGEST liquidation cluster is concentrated AROUND & BELOW the current price (~$2626). Smaller clusters exist further below, around the 2500 to 2600 levels, while Long liquidations reside further above, between 2690 and 2712.
2️⃣Key Price Levels to Watch:
* Potential Support (Liquidation Zone): $2500-$2600 acts as strong support and bounce zone.
* Danger zone: 2626, current price is the biggest Liquidation cluster
* Resistance (Liquidation Zone): $2690 - $2712; push beyond here could trigger more long liquidations.
3️⃣Longs vs. Shorts: The image shows FAR more long liquidations than short liquidations which have already been cleared out. A HUGE cluster of longs is currently sitting under the current price, which can be liquidated.
4️⃣Potential Price Movements: Given the concentration of long liquidations below the current price, a move *DOWN* to trigger those liquidations seems more probable. 📉 Expect volatility around these liquidation zones!
5️⃣Key Takeaways for Traders:
* Be cautious of longing: Lots of longs sitting right at the current price could be liquidated.
* Anticipate volatility: Large liquidations can fuel price swings. Manage your risk accordingly!
* Watch key levels: $2500-$2600 as a potential support/bounce area and $2690-$2712 as potential resistance.
Disclaimer: This is just an analysis of liquidation data and not financial advice. Trade responsibly! #Crypto#Trading#Liquidations#ETHanalysis📊