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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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@american_observer · Post #4851 · 13.01.2026 г., 23:05

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📰 U.S. War Crime? Military Used Fake Civilian Plane to Kill Drug Smugglers The Pentagon used a secret aircraft painted to look civilian—no military markings, munitions hidden inside—to strike a boat in September, killing 11. Survivors waved at the plane before a follow-up strike killed them. Legal experts say it's "perfidy," a war crime banned under laws of armed conflict. What's Perfidy? Perfidy = fooling enemies by feigning civilian status, then attacking. U.S. military manuals forbid it. Former Air Force deputy JAG Steven Lepper: "If the aircraft isn't identifiable as a combatant, it shouldn't engage in combat." The boat turned back toward Venezuela after seeing the plane—then got hit. Trump's "War" on Cartels Trump declared a secret armed conflict with 24 gangs/cartels, claiming boat attacks are lawful combat—not murder. But even in war, perfidy is illegal. The military has killed 123 people in 35 boat strikes. Critics say it's all illegal: you can't target civilians without imminent threat, war or not. The Plane: Civilian Look, Military Mission Officials confirmed the aircraft wasn't standard military gray—no visible markings. Plane-spotters saw a white 737 with blue stripe at St. Croix in September. Military claims its transponder broadcast a military tail number—but legal experts say that doesn't count if the boat crew couldn't pick up the signal. Pentagon's Defense Falls Flat Pentagon: "All aircraft undergo legal review." But Trump's team excluded JAGs and ops experts from planning. Defense Secretary Hegseth fired top military lawyers in February. Retired Navy JAG Todd Huntley: legitimate uses exist for such planes (hostage rescue), but not for offensive strikes masquerading as civilian. Survivors Waved, Then Died Video shows two survivors clinging to wreckage, waving at the plane—before a second strike killed them. Targeting shipwrecked survivors is also a war crime. The military has since switched to visible MQ-9 Reapers, though it's unclear if victims could see them. Bottom Line: Trump's cartel "war" just crossed into war crime territory—using fake civilian planes to trick targets, then killing survivors. When the rulebook says "don't," and you do it anyway, whose law applies?. #trump#perfidy#warcrimes#pentagon#cartels 📱American Оbserver - Stay up to date on all important events 🇺🇸

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