jsonstat-validator 0.1.1

A Python validator for the JSON-stat 2.0 standard format, based on Pydantic.

JSON-stat Validator

A Python validator for the JSON-stat 2.0 standard format, based on Pydantic.

JSON-stat is a simple lightweight format for data interchange. It is a JSON format for data dissemination that allows the representation of statistical data in a way that is both simple and convenient for data processing. With this validator, you can ensure your data conforms to the official JSON-stat 2.0 specification.

Disclaimer

This is a non-official implementation of the JSON-stat validator. The official validator can be found at json-stat.org/format/validator/.

Please note that this implementation is intentionally more strict than the official validator, as it applies all limitations and logical rules mentioned in the specification. For example:

{
    "id": ["country", "year", "age", "concept", "sex"],
    "size": [1, 2]
}

This dataset would be considered valid by the official JSON-stat validator tool, but will fail validation in this package because it violates the rule in the dataset.size section of the specification stating that: size has the same number of elements and in the same order as in id.

Table of Contents

• Installation
• Quick Start
• Key Features
• Usage Examples
• Testing
• Development
  • Local Development Setup
  • Creating a New Release
• Contributing
• License
• Credits

Installation

pip install jsonstat-validator

Quick Start

Validate a JSON-stat object with a single function call. See the samples/quickstart.py file for a complete example.

Key Features

• Validates JSON-stat data against the full 2.0 specification
• Provides models for all major JSON-stat classes: Dataset, Dimension, Collection
• Built on Pydantic for robust type validation and detailed error messages
• Provides tests against the official JSON-stat samples and custom fine-grained tests

Usage Examples

Code examples can be found in the examples/ directory.

Testing

The validator has been thoroughly tested with all official JSON-stat samples from the JSON-stat website.

To run tests:

# Install development dependencies
pip install jsonstat-validator[dev]

# Run all tests
pytest

# Run specific tests
pytest tests/test_official_samples.py

Development

Local Development Setup

For local development:

# Clone the repository
git clone https://github.com/YOUR-USERNAME/jsonstat-validator.git
cd jsonstat-validator

# Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

Creating a New Release

1. Create a new release on GitHub with a tag in the format vX.Y.Z

The GitHub Actions workflow will automatically:

• Run tests
• Build the package
• Update version numbers in both __init__.py and pyproject.toml
• Publish the package to PyPI
• Update the CHANGELOG.md with the release date and commit messages

Contributing

We welcome contributions to the JSON-stat Validator! Here's how to get started:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

For more details, please see our CONTRIBUTING.md file.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Credits

• JSON-stat - For creating and maintaining the JSON-stat standard
• Pydantic - For the data validation framework