PrettyWood c83156d0e0 feat: make pydantic 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
2020-10-26 11:09:28 +00:00
2019-08-18 15:58:45 +01:00
2020-07-15 20:24:20 +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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