flytekitplugins-pydantic

Name	flytekitplugins-pydantic JSON
Version	1.14.3 JSON
	download
home_page	https://github.com/flyteorg/flytekit/tree/master/plugins/flytekit-pydantic
Summary	Plugin adding type support for Pydantic models
upload_time	2024-12-26 22:44:54
maintainer	None
docs_url	None
author	flyteorg
requires_python	>=3.9
license	apache2
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Flytekit Pydantic Plugin
## Warning
This plugin is deprecated and will be removed in the future.

Please directly install `pydantic` and use `BaseModel` in your Flyte tasks.

## Introduction
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.v1 import BaseModel


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

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

            

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