dataplex-sm-cli 0.2.0

A CLI tool for Dataplex Semantic Model operations with YAML validation

dataplex-sm-cli

A powerful and extensible CLI tool for managing Dataplex Semantic Models. This CLI can be installed in any Python project via pip.

Features

• 🚀 Easy installation via pip
• 🎯 Semantic model management (create, delete, list)
• ⚙️ Configuration management
• 🔧 Extensible command structure
• ✅ YAML validation using js-yaml (npm package)
• 📝 Well-documented commands with examples

Installation

Requirements

• Python 3.8+
• Node.js 14+ (required for YAML validation feature)
• npm (comes with Node.js)

From Source (Development)

# Clone the repository
git clone https://github.com/Sachin-Rungta/dataplex-sm-cli.git
cd dataplex-sm-cli

# Install Node.js dependencies for YAML validator
npm install

# Install Python package in development mode
pip install -e .

From PyPI (Once Published)

pip install dataplex-sm-cli

In Any Project

Once installed, you can use the CLI from any directory:

pip install dataplex-sm-cli
dataplex-sm --help

Usage

Get Help

dataplex-sm --help
dataplex-sm --version

Model Commands

Create a semantic model

dataplex-sm model create --name my-model --description "My model" --project my-project

List all models

dataplex-sm model list --project my-project

Delete a model

dataplex-sm model delete --name my-model --project my-project

Configuration Commands

Set a configuration value

dataplex-sm config set --key project-id --value my-project

Get configuration

dataplex-sm config get --key project-id
dataplex-sm config get  # Get all values

YAML Validation Commands

Validate YAML files using the js-yaml npm package:

dataplex-sm validate-yaml config.yaml
dataplex-sm validate-yaml path/to/file.yaml

The validator will:

• Check YAML syntax validity
• Parse YAML structure
• Report errors with line and column numbers
• Display clear success/failure messages

Development

Setup Development Environment

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

Run Tests

pytest tests/
pytest tests/ --cov=dataplex_sm_cli  # With coverage

Code Quality

# Format code
black dataplex_sm_cli/ tests/

# Lint
flake8 dataplex_sm_cli/ tests/

# Type checking
mypy dataplex_sm_cli/

Project Structure

dataplex-sm-cli/
├── dataplex_sm_cli/
│   ├── __init__.py          # Package initialization
│   └── cli.py               # Main CLI implementation
├── tests/
│   ├── __init__.py
│   └── test_cli.py          # CLI tests
├── pyproject.toml           # Modern Python project config
├── setup.py                 # Setup script for pip
├── README.md                # This file
└── .gitignore               # Git ignore rules

Adding New Commands

To add new commands to the CLI, edit dataplex_sm_cli/cli.py:

@main.command()
@click.option("--option", help="Option help text")
def my_command(option):
    """Command help text."""
    click.echo(f"Executing my-command with option: {option}")

Then add tests in tests/test_cli.py:

def test_my_command(runner):
    result = runner.invoke(main, ["my-command", "--option", "value"])
    assert result.exit_code == 0
    assert "expected output" in result.output

Publishing to PyPI

# Build the package
pip install build
python -m build

# Upload to PyPI (requires credentials)
pip install twine
twine upload dist/*

Requirements

• Python 3.8+
• Node.js 14+ (for YAML validation)
• npm
• click >= 8.0.0 (Python)
• js-yaml >= 4.1.0 (npm)

NPM Dependencies

The project uses the following npm package for YAML validation:

• js-yaml: A JavaScript YAML parser and serializer with excellent error reporting

Install npm dependencies with:

npm install

License

MIT License

Contributing

Contributions are welcome! Please feel free to submit a pull request.