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: #strax
@proanalysistrader · Post #28412 · 23.01.2025 г., 13:18
#STRAX/USDT analysis : #STRAX is currently in an uptrend, forming higher highs (HHs) and higher lows (HLs). The price is currently in a correction phase, retracing to test previously respected support zone. It is advisable to wait for the price to retest this zone for a long entry, as higher targets are likely to be achieved. TF : 1D Entry : $0.06163 Target : $0.09200 SL : $0.05174
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@proanalysistrader · Post #27961 · 25.09.2024 г., 15:10
#STRAX/USDT analysis : #STRAX is presently in an uptrend, creating higher highs (HHs) and higher lows (HLs) above the 200 Exponential Moving Average (200EMA). The price is expected to continue its bullish momentum and soon test previous swing high. TF : 30min Entry : $0.05323 Target : $0.05666 SL : $0.05125
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@sublimetraders · Post #2312 · 14.03.2024 г., 04:11
Binance Futures, ByBit USDT, KuCoin Futures #STRAX/USDT Take-Profit target 2 ✅ Profit: 8.796% 📈 Period: 2 Days 8 Hours 14 Minutes ⏰
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@sublimetraders · Post #2308 · 11.03.2024 г., 20:47
Binance Futures, ByBit USDT, KuCoin Futures #STRAX/USDT Take-Profit target 1 ✅ Profit: 3.8677% 📈 Period: 1 Hours 38 Minutes ⏰
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@cryptoarsenal · Post #62282 · 05.04.2026 г., 10:38
🎰#STRAX buying 🔫 100K USDT in 5 min (31%) on Binance P: 0,01543 ⬆️ (14,13%) Vol 24h: 422K USDT Last 19 d ago #CEXTrack
@coinlegs · Post #9211 · 16.10.2023 г., 06:02
Weekly RSI Detections by CoinLegs 🪙 If you are a long term trader, this post is just for you. We sorted all the coins by RSI weekly values. #STRAX#STPT#MKR#SUI#CAKE#PEPE We have bunch of useful tools on CoinLegs platform. Join us!
@coinlegs · Post #9668 · 06.01.2024 г., 08:05
🐬DOLPHIN | AI PREDICTIONS 06.01.2024 08:00 GMT Expected 5% Profit/Loss in 24 Hours #SC | 0.00745 | PP: 100% | LP: 0% #SEI | 0.679 | PP: 100% | LP: 0% #SFP | 0.6866 | PP: 100% | LP: 0% #SHIB | 0.0000095 | PP: 100% | LP: 0% #SKL | 0.07887 | PP: 100% | LP: 0% #SLP | 0.002951 | PP: 100% | LP: 0% #SUPER | 0.5425 | PP: 100% | LP: 0% #THETA | 1.087 | PP: 100% | LP: 0% #TRB | 137.84 | PP: 100% | LP: 0% #TRX | 0.10275 | PP: 100% | LP: 0% #UMA | 1.995 | PP: 100% | LP: 0% #UNFI | 5.867 | PP: 100% | LP: 0% #VIB | 0.0712 | PP: 100% | LP: 0% #SCRT | 0.4394 | PP: 100% | LP: 0% #SXP | 0.3461 | PP: 100% | LP: 1% #SYN | 0.4054 | PP: 100% | LP: 1% #SYS | 0.1248 | PP: 100% | LP: 1% #TFUEL | 0.04529 | PP: 100% | LP: 1% #TKO | 0.2712 | PP: 100% | LP: 1% #TLM | 0.01544 | PP: 100% | LP: 1% #TROY | 0.002296 | PP: 100% | LP: 1% #TRU | 0.05051 | PP: 100% | LP: 1% #TWT | 1.0917 | PP: 100% | LP: 1% #UFT | 0.3549 | PP: 100% | LP: 1% #UNI | 6.137 | PP: 100% | LP: 1% #T | 0.03281 | PP: 100% | LP: 2% #STRAX | 1.224 | PP: 99% | LP: 0% #VET | 0.02952 | PP: 99% | LP: 0% #SUSHI | 1.055 | PP: 99% | LP: 1% #SUI | 0.8495 | PP: 99% | LP: 2% #SUN | 0.00788 | PP: 99% | LP: 2% #USTC | 0.02651444 | PP: 98% | LP: 0% #VOXEL | 0.238 | PP: 98% | LP: 0% #VTHO | 0.002246 | PP: 98% | LP: 0% #WBTC | 43611.94 | PP: 98% | LP: 0% #XNO | 1.123 | PP: 98% | LP: 0% #XVS | 11.76 | PP: 98% | LP: 0% #RUNE | 4.844 | PP: 98% | LP: 0% #RVN | 0.01938 | PP: 98% | LP: 1% #STX | 1.4889 | PP: 97% | LP: 0% #UTK | 0.0707 | PP: 97% | LP: 0% #YGG | 0.4641 | PP: 97% | LP: 0% #SAND | 0.4858 | PP: 97% | LP: 0% #VITE | 0.01781 | PP: 97% | LP: 1% #WAN | 0.2278 | PP: 97% | LP: 1% #VIDT | 0.02808 | PP: 97% | LP: 2% #WING | 9.45 | PP: 96% | LP: 0% #WNXM | 47.48 | PP: 96% | LP: 0% #XRP | 0.5643 | PP: 96% | LP: 0% #YFI | 7199 | PP: 96% | LP: 0% #ROSE | 0.1168 | PP: 96% | LP: 0% ... ——————————————————————— Total Predictions: 365 PP > 50%: 75 LP > 50%: 0 PP > 60%: 75 LP > 60%: 0 PP > 70%: 75 LP > 70%: 0 PP > 80%: 73 LP > 80%: 0 PP > 90%: 70 LP > 90%: 0 ——————————————————————— PP: Profit Probability | LP: Loss Probability