jps-controlled-vocabularies-utils 0.1.0

The package is intended to be reusable across projects by allowing any consumer to load proprietary controlled vocabularies stored in YAML files and validate/consume terms programmatically.

jps-controlled-vocabularies-utils

A standalone Python package for loading, managing, and validating controlled vocabularies stored in YAML files.

🚀 Overview

jps-controlled-vocabularies-utils provides a complete solution for managing controlled vocabularies in Python applications. It enables you to:

• Define vocabularies in human-readable YAML files
• Load and query vocabularies with a simple API
• Validate values against term rules (allowed values, regex patterns)
• Search terms by name, key, or synonyms
• Get explainable validation results

Perfect for healthcare workflows, data pipelines, ETL validation, and any application requiring consistent terminology.

Features

• YAML-backed vocabulary registry - Store vocabularies in version-controlled YAML files
• Flexible parser - Load from files, directories, or in-memory strings
• Comprehensive validation - Validate both registry integrity and runtime values
• Pydantic models - Full type safety with Pydantic v2
• Smart key derivation - Auto-generate stable keys from term names
• Search capabilities - Prefix, contains, and exact matching with case sensitivity options
• Explainable results - Detailed reasons for validation failures

Example Usage

from jps_controlled_vocabularies_utils import Parser, Validator

# Load vocabulary from YAML file
parser = Parser()
registry = parser.load_path("vocabularies/workflow_terms.yml")

# Query terms
vocab = registry.get_vocabulary("workflow.system_terminology")
term = registry.get_term("workflow.system_terminology", "readiness_status.ready")
print(f"{term.name}: {term.description}")

# Search terms
results = registry.search_terms("workflow.system_terminology", "ready")
print(f"Found {len(results)} matching terms")

# Validate values
validator = Validator()
result = validator.validate_value(
    registry,
    vocabulary_id="workflow.system_terminology",
    term_key="readiness_status.ready",
    value="Ready"
)

if result.is_valid:
    print("✓ Valid")
else:
    print(f"✗ Invalid: {', '.join(result.reasons)}")

📦 Installation

pip install jps-controlled-vocabularies-utils

Development Installation

git clone https://github.com/jai-python3/jps-controlled-vocabularies-utils.git
cd jps-controlled-vocabularies-utils
pip install -e ".[dev]"

🧪 Development

Setup

make install

Testing and Quality

# Run tests
make test

# Format and lint
make fix && make format && make lint

# Type checking
mypy src

📖 Documentation

See docs/ for detailed documentation including:

• YAML schema reference
• API documentation
• Configuration options
• Advanced usage examples

Quick YAML Example

schema_version: "1.0"
vocabulary_id: "workflow.system_terminology"
title: "Workflow Terminology"
description: "Core workflow terms"
terms:
  - key: readiness_status.ready
    name: "Ready"
    description: "All requirements satisfied"
    allowed_values: ["Ready", "ready"]
    tags: ["status"]

🛠️ Requirements

• Python 3.10+
• pydantic >= 2.0.0
• pyyaml >= 6.0.0

📜 License

MIT License © Jaideep Sundaram

🤝 Contributing

Contributions welcome! Please open an issue or submit a pull request.

🔗 Links

• Repository: https://github.com/jai-python3/jps-controlled-vocabularies-utils
• Issues: https://github.com/jai-python3/jps-controlled-vocabularies-utils/issues