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: #grassland
@amazingeo · Post #361 · 11.10.2025 г., 20:31
🌍 Some savannas and grasslands support massive termite mounds reaching over 8 meters high. These structures regulate temperature and moisture, acting as tiny skyscrapers for entire insect communities. ✨ #savanna⚡#grassland⚡#biodiversity⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #321 · 01.10.2025 г., 20:31
🌍 In South America’s Cerrado grassland, more than 4,800 plant species are found only there. This savanna rivals the Amazon in biodiversity but is rapidly disappearing to farmland. ✨ #savanna⚡#grassland⚡#biodiversity⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #130 · 28.08.2025 г., 03:12
🌍 Some African savannas are home to "whistling thorn" trees, which grow hollow spines. Tiny ants live inside and defend the tree from animals, forming a team-up rarely seen in grassland ecosystems. ✨ #savanna⚡#grassland⚡#biodiversity⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@amazingeo · Post #663 · 16.03.2026 г., 20:31
🌍 Tropical savannas can burn naturally every 1–3 years, yet some species, like the baobab tree, thrive by storing water in thick trunks to survive both drought and fire. ✨ #savanna⚡#grassland⚡#adaptation⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #508 · 11.12.2025 г., 20:31
🌍 Seasonal fires in some savannas are so regular that certain plants have evolved to flower or sprout only after being scorched, using fire as a natural part of their life cycle. ✨ #savanna⚡#grassland⚡#fire⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #281 · 22.09.2025 г., 12:31
🌍 Some grassland fires are started by lightning and play a natural role in shaping these ecosystems. Fire clears old growth, helps seeds sprout, and maintains open habitat for many animals. ✨ #savanna⚡#grassland⚡#fire⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍