Metadata-Version: 2.4 Name: pydantic_core Version: 2.41.5 Classifier: Development Status :: 3 - Alpha Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3 :: Only Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Programming Language :: Python :: Implementation :: GraalPy Classifier: Programming Language :: Rust Classifier: Framework :: Pydantic Classifier: Intended Audience :: Developers Classifier: Intended Audience :: Information Technology Classifier: Operating System :: POSIX :: Linux Classifier: Operating System :: Microsoft :: Windows Classifier: Operating System :: MacOS Classifier: Typing :: Typed Requires-Dist: typing-extensions>=4.14.1 License-File: LICENSE Summary: Core functionality for Pydantic validation and serialization Home-Page: https://github.com/pydantic/pydantic-core Author-email: Samuel Colvin , Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com>, David Montague , David Hewitt , Sydney Runkle , Victorien Plot License-Expression: MIT Requires-Python: >=3.9 Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM Project-URL: Homepage, https://github.com/pydantic/pydantic-core Project-URL: Funding, https://github.com/sponsors/samuelcolvin Project-URL: Source, https://github.com/pydantic/pydantic-core # pydantic-core [![CI](https://github.com/pydantic/pydantic-core/workflows/ci/badge.svg?event=push)](https://github.com/pydantic/pydantic-core/actions?query=event%3Apush+branch%3Amain+workflow%3Aci) [![Coverage](https://codecov.io/gh/pydantic/pydantic-core/branch/main/graph/badge.svg)](https://codecov.io/gh/pydantic/pydantic-core) [![pypi](https://img.shields.io/pypi/v/pydantic-core.svg)](https://pypi.python.org/pypi/pydantic-core) [![versions](https://img.shields.io/pypi/pyversions/pydantic-core.svg)](https://github.com/pydantic/pydantic-core) [![license](https://img.shields.io/github/license/pydantic/pydantic-core.svg)](https://github.com/pydantic/pydantic-core/blob/main/LICENSE) This package provides the core functionality for [pydantic](https://docs.pydantic.dev) validation and serialization. Pydantic-core is currently around 17x faster than pydantic V1. See [`tests/benchmarks/`](./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._ ```py 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 ### Prerequisites You'll need: 1. **[Rust](https://rustup.rs/)** - Rust stable (or nightly for coverage) 2. **[uv](https://docs.astral.sh/uv/getting-started/installation/)** - Fast Python package manager (will install Python 3.9+ automatically) 3. **[git](https://git-scm.com/)** - For version control 4. **[make](https://www.gnu.org/software/make/)** - For running development commands (or use `nmake` on Windows) ### Quick Start ```bash # Clone the repository (or from your fork) git clone git@github.com:pydantic/pydantic-core.git cd pydantic-core # Install all dependencies using uv, setup pre-commit hooks, and build the development version make install ``` Verify your installation by running: ```bash make ``` This runs a full development cycle: formatting, building, linting, and testing ### Development Commands Run `make help` to see all available commands, or use these common ones: ```bash 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 all # to run to run build-dev + format + lint + test ``` ### Useful Resources * [`python/pydantic_core/_pydantic_core.pyi`](./python/pydantic_core/_pydantic_core.pyi) - Python API types * [`python/pydantic_core/core_schema.py`](./python/pydantic_core/core_schema.py) - Core schema definitions * [`tests/`](./tests) - Comprehensive usage examples ## Profiling It's possible to profile the code using the [`flamegraph` utility from `flamegraph-rs`](https://github.com/flamegraph-rs/flamegraph). (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.): ```bash 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 1. Bump package version locally. Do not just edit `Cargo.toml` on Github, you need both `Cargo.toml` and `Cargo.lock` to be updated. 2. Make a PR for the version bump and merge it. 3. Go to https://github.com/pydantic/pydantic-core/releases and click "Draft a new release" 4. In the "Choose a tag" dropdown enter the new tag `v` and select "Create new tag on publish" when the option appears. 5. Enter the release title in the form "v " 6. Click Generate release notes button 7. Click Publish release 8. Go to https://github.com/pydantic/pydantic-core/actions and ensure that all build for release are done successfully. 9. Go to https://pypi.org/project/pydantic-core/ and ensure that the latest release is published. 10. Done 🎉