Metadata-Version: 2.1
Name: flytekitplugins-pydantic
Version: 1.10.8b2
Summary: Plugin adding type support for Pydantic models
Home-page: https://github.com/flyteorg/flytekit/tree/master/plugins/flytekit-pydantic
Author: flyteorg
Author-email: admin@flyte.org
License: apache2
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: flytekit<2.0.0,>=1.7.0b0
Requires-Dist: pydantic

# Flytekit Pydantic Plugin

Pydantic is a data validation and settings management library that uses Python type annotations to enforce type hints at runtime and provide user-friendly errors when data is invalid. Pydantic models are classes that inherit from `pydantic.BaseModel` and are used to define the structure and validation of data using Python type annotations.

The plugin adds type support for pydantic models.

To install the plugin, run the following command:

```bash
pip install flytekitplugins-pydantic
```


## Type Example
```python
from pydantic import BaseModel


class TrainConfig(BaseModel):
    lr: float = 1e-3
    batch_size: int = 32
    files: List[FlyteFile]
    directories: List[FlyteDirectory]

@task
def train(cfg: TrainConfig):
    ...
```
