mirror of
https://github.com/kennethreitz/pydantic.git
synced 2026-06-05 23:00:18 +00:00
f08fd2fee738145efa894199fe47e49a84c96aa1
* Add support for Type[T] typehints when arbitrary_types_allowe==True. * Add documentation. * Let black do its magic. * Ignore mypy warning - see here: https://github.com/python/mypy/issues/3060 * Prettify docs. * Change Changelog. * Refactor and simplify check for Type[T]. * Black again. ^^ - Really need pre-commit hooks. * Update pydantic/validators.py Co-Authored-By: Samuel Colvin <samcolvin@gmail.com> * Rename arbitrary_class to class. * Black. * Add type hints. * Make private function public. * Add support for bare Type. * Black again. * Update docs. * CO_ct not meant for export. * Fix get_class for Python3.6 * Update error message of ClassError. * Use relative import. * Incorporate typing feedback (both versions are fine with mypy). * Move from issubclass to lenient_issubclass. * correct docs
pydantic
========
|BuildStatus| |Coverage| |pypi| |CondaForge| |downloads| |versions| |license|
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 `Install`_ section in the documentation.
A Simple Example
----------------
.. code-block:: python
from datetime import datetime
from typing import List
from pydantic import BaseModel
class User(BaseModel):
id: int
name = 'John Doe'
signup_ts: 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 the `Contributing to Pydantic`_.
.. |BuildStatus| image:: https://travis-ci.org/samuelcolvin/pydantic.svg?branch=master
:target: https://travis-ci.org/samuelcolvin/pydantic
.. |Coverage| image:: https://codecov.io/gh/samuelcolvin/pydantic/branch/master/graph/badge.svg
:target: https://codecov.io/gh/samuelcolvin/pydantic
.. |pypi| image:: https://img.shields.io/pypi/v/pydantic.svg
:target: https://pypi.python.org/pypi/pydantic
.. |CondaForge| image:: https://img.shields.io/conda/v/conda-forge/pydantic.svg
:target: https://anaconda.org/conda-forge/pydantic
.. |downloads| image:: https://img.shields.io/pypi/dm/pydantic.svg
:target: https://pypistats.org/packages/pydantic
.. |versions| image:: https://img.shields.io/pypi/pyversions/pydantic.svg
:target: https://github.com/samuelcolvin/pydantic
.. |license| image:: https://img.shields.io/github/license/samuelcolvin/pydantic.svg
:target: https://github.com/samuelcolvin/pydantic/blob/master/LICENSE
.. _documentation: https://pydantic-docs.helpmanual.io/
.. _Install: https://pydantic-docs.helpmanual.io/#install
.. _Contributing to Pydantic: https://pydantic-docs.helpmanual.io/#contributing-to-pydantic
Languages
Python
99.7%
Makefile
0.3%