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1c3ef841e63ee3e8ec75786314ddb441de42c567
None, NoneType or Literal[None] (#2149)
* feat: add validator for NoneType closes #2095 * feat: support NoneType directly as type * chore: add change file * chore: fix typo * fix: handle Literal[None] for python3.6/3.7 without typing_extensions * chore: move NotNoneError and export it * chore: use constant NONE_TYPES to simplify a bit * chore: use check on Literal instead of typing_extensions These tests would not run on python 3.8+ without typing_extensions even though Literal is defined * test: use fresh Literal[None] in test case * feat: handle `None` type in schema * docs: add NoneType documentation * refactor: switch NONE_TYPES from tuple to set
build(deps): bump to pytest 6.2.1, pytest-mock 3.4.0, mkdocs-material 6.1.7 and codecov-action v1.0.15 (#2201)
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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