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* refactor: extra `BaseConfig` and `Extra` in dedicated `config` module * refactor: clean useless `#noqa: F401` * refactor: clean useless `#noqa: F811` * refactor: replace enum check Error with 3.10 > DeprecationWarning: accessing one member from another is not supported * refactor: avoid using `distutils` directly error with python 3.10 > DeprecationWarning: The distutils package is deprecated and slated > for removal in Python 3.12. > Use setuptools or check PEP 632 for potential alternatives * fix: `__annotations__` always exists * fix: origin of `typing.Hashable` is not `None` * ci: add run with 3.10.0b2 * docs: add 3.10 * feat: support `|` union operator properly `|` operator has origin `types.Union` (and not `typing.Union`) * fix: enum repr is different with 3.10+ * fix: error message changed a bit change from basic `__init__` to `test_hashable_required.<locals>.MyDataclass.__init__()` (with `__qualname__`) * fix: always exists and is not inherited anymore * fix: avoid calling `asyncio.get_event_loop` directly With python 3.10, calling it results in > DeprecationWarning: There is no current event loop * fix(ci): do not run 3.10 on linux for now For now it can not be compiled. Let's just skip the check on linux for now instead of tuning the CI pipeline * fix(ci): ignore DeprecationWarning raised by `mypy` on windows * docs: add change file
pydantic
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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