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c83156d0e07589cb8f8050bbeebe03490dc2e639
dataclass decorator support built-in dataclass (#1817)
* feat: pydantic dataclasses support built-in ones closes #744 * feat: improve dataclass typing * feat: add support for nested dataclasses closes #1743 * feat: support dataclass schema with nested dataclasses * refactor: remove `_dataclass_with_validation` function * docs: add docstring for `make_dataclass_validator` * refactor: rename DataclassType into Dataclass The name `DataclassType` was missleading as it's not a `Type` per say. * refactor: change global `dataclass` import to local pydantic import time was improved in https://github.com/samuelcolvin/pydantic/pull/1132 by keeping `dataclass` import local. So let's keep it that way! * test: add extra nested case with BaseModel * chore: s/pydantic/_pydantic_/g * docs: add some documentation
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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