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* Added schema generation for Generic fields with tests. Fixed test_assert_raises_validation_error. * Added schema generation for Generic fields with tests. Fixed test_assert_raises_validation_error. * tested on python 3.6, 3.7, 3.8, 3.9 * tested on python 3.6, 3.7, 3.8, 3.9 * restore formatting * fix mistakes * formatting * formatting * formatting * fixed coverage * changes file * changes file * remove redundant len * Update pydantic/schema.py Co-authored-by: Maz Jaleel <mazjaleel@gmail.com> * Generic fields with params * Generic fields with params * Fix my previous test * formatting * merging with nested models-generics * formatting * formatting * rewording Co-authored-by: Maxim Berg <berg@petrostyle.com> Co-authored-by: Maz Jaleel <mazjaleel@gmail.com> Co-authored-by: PrettyWood <em.jolibois@gmail.com>
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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