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: #sgweathergrams
@NEASingapore · Post #589 · 12.07.2023 г., 01:02
Did you manage to catch these pastel-coloured altocumulus clouds at sunset? When the sun is at a low angle on the horizon, sunlight travels across a longer distance through the atmosphere before reaching our eyes. As a result, blue colours are scattered by atmospheric particles, leaving behind brilliant hues of pink, orange and yellow. 📷: peiqiitohh #SGWeathergrams#WeatherWednesday
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@NEASingapore · Post #565 · 14.06.2023 г., 00:31
If you were in the Newton area on 25 May, you may have spotted this huge woolly blanket in the sky! This blanket of dense clouds was formed as the top of a cumulonimbus cloud collapsed following strong thunderstorms across Singapore earlier that morning. Named “cirrus spissatus”, these rarer upper atmosphere clouds are thicker and denser, and would block out the sun. The Latin word “spissatus” in its name describes its thicker appearance. 📷 Photo by _quietude__ #SGWeathergrams#WeatherWednesday
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@NEASingapore · Post #78 · 15.07.2020 г., 00:30
The mesmerising patterns formed by these beautiful stratocumulus clouds, seem to be reminding us to keep a safe distance from each other as we go about our daily activities. Tag us in your #SGWeathergrams on Instagram so that we can share your beautiful captures with others! #WeatherWednesday 📷: infectiousj
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@NEASingapore · Post #105 · 22.09.2020 г., 07:45
Hello Halo! Did you spot it this afternoon? These faint coloured rings encircling the sun are formed by the refraction of the light through ice crystals in high-level clouds under relatively clear conditions. #SGWeathergrams#SGWeather
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@NEASingapore · Post #90 · 12.08.2020 г., 00:30
While an impending thunderstorm looms, blue skies and fluffy clouds shine through in the distance. Tag us in your #SGWeathergrams posts on Facebook & Instagram so we can share it on #WeatherWednesdays. :) 📷: siewjunjie
@NEASingapore · Post #579 · 05.07.2023 г., 01:01
#WeatherWednesday#throwback to the sunrise on 17 Jun, when we were greeted by this beautiful scattering of cirrocumulus stratiformis clouds. The Latin word “stratiformis” means “stretched out”, referring to its irregular, dotted, blanket-like appearance. 📷 Photo by knifematchneedle #SGWeathergrams