Eric Jolibois 0b9cd4e537 fix: pydantic dataclass can inherit from stdlib dataclass and arbitrary_types_allowed is supported (#2051)
* fix: pydantic dataclasses can inherit from stdlib dataclasses

closes #2042

* docs: add some documentation

* fix: support arbitrary_types_allowed with stdlib dataclass

closes #2054

* docs: add documentation for custom types
2020-10-28 19:10:55 +00:00
2019-08-18 15:58:45 +01:00
2019-01-17 20:59:58 +00:00
2020-04-14 11:59:03 +01:00
2020-10-25 15:03:33 +00:00

pydantic

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Data validation and settings management using Python type hinting.

Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; validate it with pydantic.

Help

See documentation for more details.

Installation

Install using pip install -U pydantic or conda install pydantic -c conda-forge. For more installation options to make pydantic even faster, see the Install section in the documentation.

A Simple Example

from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: Optional[datetime] = None
    friends: List[int] = []

external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
user = User(**external_data)
print(user)
#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)
#> 123

Contributing

For guidance on setting up a development environment and how to make a contribution to pydantic, see Contributing to Pydantic.

Reporting a Security Vulnerability

See our security policy.

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