Metadata-Version: 2.4
Name: minimls
Version: 0.1.0rc1878
Summary: A minimal Python client for accessing MLS (Machine Learning Service) from OMI on-premises environments
Author-email: KiJung Park <kijung.park@sk.com>
License: MIT
Project-URL: Homepage, https://gitlab.cidp.io/mls/minimls
Project-URL: Repository, https://gitlab.cidp.io/mls/minimls
Project-URL: Bug Tracker, https://gitlab.cidp.io/mls/minimls/-/issues
Project-URL: Changelog, https://gitlab.cidp.io/mls/minimls/-/blob/main/CHANGELOG.md
Keywords: mls,client,on-premises,omi,aws
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
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: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: boto3>=1.26
Requires-Dist: pyyaml>=6.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0; extra == "dev"
Requires-Dist: ruff>=0.1.0; extra == "dev"
Requires-Dist: mypy>=1.0; extra == "dev"
Requires-Dist: build>=1.0; extra == "dev"
Requires-Dist: twine>=4.0; extra == "dev"
Dynamic: license-file

# minimls

A minimal Python client for accessing MLS (Machine Learning Service) from OMI on-premises environments.

## Overview

`minimls` provides a lightweight interface for OMI on-premises servers to communicate with the internal MLS service running on AWS. It abstracts REST API calls and/or AWS SDK interactions into a simple, consistent Python API.

## Installation

```bash
pip install minimls
```

## Usage

```python
import minimls

print(minimls.__version__)
```

## Development

### Setup

```bash
# Clone the repository
git clone https://gitlab.cidp.io/mls/minimls.git
cd minimls

# Install with dev dependencies
pip install -e ".[dev]"
```

### Running tests

```bash
pytest
```

### Linting

```bash
ruff check .
mypy minimls/
```

### Building and publishing

```bash
# Build
python -m build

# Upload to PyPI (test)
twine upload --repository testpypi dist/*

# Upload to PyPI
twine upload dist/*
```

## License

MIT
