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pydantic-core

This package provides the core functionality for pydantic validation and serialization.

Pydantic-core is currently around 17x faster than pydantic V1. See tests/benchmarks/ for details.

Example of direct usage

NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core.

from pydantic_core import SchemaValidator, ValidationError


v = SchemaValidator(
    {
        'type': 'typed-dict',
        'fields': {
            'name': {
                'type': 'typed-dict-field',
                'schema': {
                    'type': 'str',
                },
            },
            'age': {
                'type': 'typed-dict-field',
                'schema': {
                    'type': 'int',
                    'ge': 18,
                },
            },
            'is_developer': {
                'type': 'typed-dict-field',
                'schema': {
                    'type': 'default',
                    'schema': {'type': 'bool'},
                    'default': True,
                },
            },
        },
    }
)

r1 = v.validate_python({'name': 'Samuel', 'age': 35})
assert r1 == {'name': 'Samuel', 'age': 35, 'is_developer': True}

# pydantic-core can also validate JSON directly
r2 = v.validate_json('{"name": "Samuel", "age": 35}')
assert r1 == r2

try:
    v.validate_python({'name': 'Samuel', 'age': 11})
except ValidationError as e:
    print(e)
    """
    1 validation error for model
    age
      Input should be greater than or equal to 18
      [type=greater_than_equal, context={ge: 18}, input_value=11, input_type=int]
    """

Getting Started

You'll need rust stable installed, or rust nightly if you want to generate accurate coverage.

With rust and python 3.7+ installed, compiling pydantic-core should be possible with roughly the following:

# clone this repo or your fork
git clone git@github.com:pydantic/pydantic-core.git
cd pydantic-core
# create a new virtual env
python3 -m venv env
source env/bin/activate
# install dependencies and install pydantic-core
make install

That should be it, the example shown above should now run.

You might find it useful to look at python/pydantic_core/_pydantic_core.pyi and python/pydantic_core/core_schema.py for more information on the python API, beyond that, tests/ provide a large number of examples of usage.

If you want to contribute to pydantic-core, you'll want to use some other make commands:

make build-dev to build the package during development
make build-prod to perform an optimised build for benchmarking
make test to run the tests
make testcov to run the tests and generate a coverage report
make lint to run the linter
make format to format python and rust code
make to run format build-dev lint test

Profiling

It's possible to profile the code using the flamegraph utility from flamegraph-rs. (Tested on Linux.) You can install this with cargo install flamegraph.

Run make build-profiling to install a release build with debugging symbols included (needed for profiling).

Once that is built, you can profile pytest benchmarks with (e.g.):

flamegraph -- pytest tests/benchmarks/test_micro_benchmarks.py -k test_list_of_ints_core_py --benchmark-enable

The flamegraph command will produce an interactive SVG at flamegraph.svg.

Releasing

Bump package version locally. Do not just edit Cargo.toml on Github, you need both Cargo.toml and Cargo.lock to be updated.
Make a PR for the version bump and merge it.
Go to https://github.com/pydantic/pydantic-core/releases and click "Draft a new release"
In the "Choose a tag" dropdown enter the new tag v<the.new.version> and select "Create new tag on publish" when the option appears.
Enter the release title in the form "v<the.new.version> "
Click Generate release notes button
Click Publish release
Go to https://github.com/pydantic/pydantic-core/actions and ensure that all build for release are done successfully.
Go to https://pypi-hypernode.com/project/pydantic-core/ and ensure that the latest release is published.
Done 🎉

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Release history Release notifications | RSS feed

2.27.0

Nov 12, 2024

2.26.0

Nov 4, 2024

2.25.1

Oct 30, 2024

2.25.0

Oct 23, 2024

2.24.2

Oct 15, 2024

2.24.1

Oct 11, 2024

2.24.0

Sep 20, 2024

2.23.4

Sep 16, 2024

2.23.3

Sep 7, 2024

2.23.2

Sep 5, 2024

2.23.1

Aug 29, 2024

2.23.0

Aug 19, 2024

2.22.0

Aug 15, 2024

2.21.0

Aug 5, 2024

2.20.1

Jul 3, 2024

2.20.0

Jun 25, 2024

2.19.0

Jun 12, 2024

2.18.4

Jun 3, 2024

2.18.3

May 28, 2024

2.18.2

Apr 22, 2024

2.18.1

Apr 11, 2024

2.18.0

Apr 2, 2024

2.17.0

Mar 21, 2024

2.16.3

Feb 23, 2024

2.16.2

Feb 2, 2024

2.16.1

Jan 19, 2024

2.16.0

Jan 17, 2024

2.15.0

Jan 10, 2024

2.14.6

Dec 21, 2023

2.14.5

Nov 22, 2023

2.14.4

Nov 17, 2023

2.14.3

Nov 14, 2023

2.14.1

Nov 9, 2023

This version

2.14.0

Nov 9, 2023

2.13.0

Nov 7, 2023

2.12.0

Nov 6, 2023

2.11.0

Oct 17, 2023

2.10.1

Sep 26, 2023

2.10.0

Sep 21, 2023

2.9.0

Sep 20, 2023

2.8.0

Sep 18, 2023

2.7.0

Aug 29, 2023

2.6.3

Aug 23, 2023

2.6.2

Aug 23, 2023

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Aug 18, 2023

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Aug 16, 2023

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Aug 10, 2023

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Jul 24, 2023

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Jul 19, 2023

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Jul 13, 2023

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Jul 11, 2023

2.1.3

Jul 11, 2023

2.1.2

Jul 4, 2023

2.0.2

Jul 3, 2023

2.0.1

Jun 30, 2023

2.0.0

Jun 30, 2023

0.42.0

Jun 27, 2023

0.41.0

Jun 21, 2023

0.40.1

Jun 14, 2023

0.40.0

Jun 13, 2023

0.39.0

Jun 10, 2023

0.38.0

May 30, 2023

0.37.0

May 28, 2023

0.36.0

May 26, 2023

0.35.0

May 26, 2023

0.34.0

May 25, 2023

0.33.0

May 19, 2023

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May 19, 2023

0.31.0

May 10, 2023

0.30.0

May 5, 2023

0.29.0

May 5, 2023

0.28.1

May 4, 2023

0.28.0

May 3, 2023

0.27.1

Apr 29, 2023

0.27.0

Apr 27, 2023

0.26.0

Apr 26, 2023

0.25.0

Apr 18, 2023

0.24.1

Apr 15, 2023

0.24.0

Apr 13, 2023

0.23.1

Apr 11, 2023

0.23.0

Apr 7, 2023

0.22.0

Apr 2, 2023

0.21.0

Apr 1, 2023

0.20.0

Mar 31, 2023

0.19.0

Mar 30, 2023

0.18.1

Mar 29, 2023

0.18.0

Mar 29, 2023

0.17.1

Mar 27, 2023

0.16.1

Mar 21, 2023

0.16.0

Mar 20, 2023

0.15.2

Mar 18, 2023

0.15.1

Mar 18, 2023

0.15.0

Mar 18, 2023

0.14.1

Mar 17, 2023

0.14.0

Mar 17, 2023

0.13.0

Mar 16, 2023

0.12.1

Mar 16, 2023

0.12.0

Mar 10, 2023

0.11.1

Mar 7, 2023

0.11.0

Mar 2, 2023

0.10.0

Feb 23, 2023

0.9.0

Feb 10, 2023

0.8.2

Feb 2, 2023

0.8.1

Jan 26, 2023

0.7.1

Nov 7, 2022

0.7.0

Nov 3, 2022

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Oct 27, 2022

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Oct 20, 2022

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Oct 18, 2022

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Oct 18, 2022

0.5.0

Oct 16, 2022

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Oct 13, 2022

0.3.1

Sep 30, 2022

0.3.0

Sep 29, 2022

0.1.0

Aug 3, 2022

0.0.1

Apr 20, 2022

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