Skip to main content

Adds some YAML functionality to the excellent `pydantic` library.

Project description

pydantic-yaml

This is a small helper library that adds some YAML capabilities to pydantic, namely dumping to yaml via the yaml_model.yaml() function, and parsing from strings/files using YamlModel.parse_raw() and YamlModel.parse_file(). It also adds an Enum subclass that gets dumped to YAML as a string, and fixes dumping of some typical types.

Usage

Example usage is seen below.

from pydantic_yaml import YamlEnum, YamlModel


class MyEnum(str, YamlEnum):
    a = "a"
    b = "b"


class MyModel(YamlModel):
    x: int = 1
    e: MyEnum = MyEnum.a

m1 = MyModel(x=2, e="b")
yml = m1.yaml()

m2 = MyModel.parse_raw(yml, proto="yaml")
assert m1 == m2

m3 = MyModel.parse_raw(yml, content_type="application/yaml")
assert m1 == m3

Installation

pip install pydantic_yaml

Make sure to install ruamel.yaml (recommended) or pyyaml as well. These are optional dependencies:

pip install pydantic_yaml[ruamel]

pip install pydantic_yaml[pyyaml]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydantic_yaml-0.2.3.tar.gz (4.5 kB view hashes)

Uploaded Source

Built Distribution

pydantic_yaml-0.2.3-py3-none-any.whl (6.0 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page