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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📖Title : The Frozen River
✍️Author : Ariel Lawhon
⭐️Rating : 4.38/5 (Goodreads)
📆Published : Dec 05, 2023
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Summary:The Frozen River by Ariel Lawhon is a historical mystery set in 1789 Maine. Midwife and healer Martha Ballard is called to examine the body of a man found trapped in the frozen Kennebec River. While authorities quickly declare the death an accident, Martha suspects something far darker. As she records events in her diary and follows the clues, she uncovers a web of violence, secrets, and injustice involving powerful members of the community. Determined to seek the truth despite threats and social pressures, Martha risks her reputation and safety while fighting for justice in a society where women’s voices are often ignored.
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📖Title : More Days at the Morisaki Bookshop
✍️Author : Satoshi Yagisawa
⭐️Rating : 3.85/5 (Goodreads)
📆Published : Dec 06, 2011
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Summary:More Days at the Morisaki Bookshop follows Takako as she continues healing while living above her uncle’s secondhand bookshop in Tokyo’s Jimbocho district. Surrounded by books and familiar faces, she confronts lingering grief, evolving relationships, and quiet uncertainties about the future. The novel focuses on small, meaningful moments, showing how literature, routine, and human connection gently restore a sense of belonging. Through everyday interactions, it portrays healing as gradual, imperfect, and deeply tied to community, memory, and the comforting presence of books.
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📖Title : Bemused
✍️Author : Farrah Rochon
⭐️Rating : 3.92/5 (Goodreads)
📆Published : Jan 07, 2025
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Summary:Five sheltered sisters living in a quiet seaside village learn that they are the legendary Muses, daughters of Mnemosyne, Goddess of Memory. After their mother is kidnapped by Hades, the sisters are forced to leave their protected lives behind. Guided by Calliope’s leadership, they journey through dangerous lands, face mythical trials, and uncover their divine powers. Along the way, they confront fear, doubt, and destiny itself. Through music, storytelling, courage, and unity, the sisters strengthen their bond and transform from overlooked performers into heroic figures, embracing their true identities and shaping their own legendary “gospel truth.”
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#fantasy#mythology#retellings#fiction#historicalfiction#audiobook#bemused#farrahrochen@Bookslibraryofficial@free_novellas@eternalmantra