pydantic_core (#4516)
* working on core schema generation * adapting main.py * getting tests to run * fix tests * disable pyright, fix mypy * moving to class-based model generation * working on validators * change how models are created * start fixing test_main.py * fixing mypy * SelfType * recursive models working, more tests fixed * fix tests on <3.10 * get docs build to pass * starting to cleanup types.py * starting works on custom types * working on using annotated-types * using annoated types for constraints * lots of cleanup, fixing network tests * network tests passing 🎉 * working on types * working on types and cleanup * fixing UUID type, restructing again * more types and newer pydantic-core * working on Iterable * more test_types tests * support newer pydantic-core, fixing more test_types.py * working through more test_types.py * test_types.py at last passing locally 🎉 * fixing more tests in test_types.py * fix datetime_parse tests and linting * get tests running again, rename to test_datetime.py * renaming internal modules * working through mypy errors * fixing mypy * refactoring _generate_schema.py * test_main.py passing * uprev deps * fix conftest and linting? * importing Annotated * ltining * import Annotated from typing_extensions * fixing 3.7 compatibility * fixing tests on 3.9 * fix linting * fixing SecretField and 3.9 tests * customising get_type_hints * ignore warnings on 3.11 * spliting repr out of utils * removing unused bits of _repr, fix tests for 3.7 * more cleanup, removing many type aliases * clean up repr * support namedtuples and typeddicts * test is_union * removing errors, uprev pydantic-core * fix tests on 3.8 * fixing private attributes and model_post_init * renaming and cleanup * remove unnecessary PydanticMetadata inheritance * fixing forward refs and mypy tests * fix signatures, change how xfail works * revert mypy tests to 3.7 syntax * correct model title * try to fix tests * fixing ClassVar forward refs * uprev pydantic-core, new error format * add "force" argument to model_rebuild * Apply suggestions from code review Suggestions from @tiangolo and @hramezani 🙏 Co-authored-by: Hasan Ramezani <hasan.r67@gmail.com> Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com> * more suggestions from @tiangolo * extra -> json_schema_extra on Field Co-authored-by: Hasan Ramezani <hasan.r67@gmail.com> Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>
pydantic
Data validation using Python type hints.
Notice
This branch relates to development of pydantic V2 which is not yet ready for release.
If you're a user of pydantic, you probably want either
pydantic V1.10 Documentation or,
1.10.X-fixes git branch.
Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.7+; 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.