wt-registry 0.2.2

Explicit function registry with JSON schema generation

wt-registry

Explicit function registry with JSON schema generation for Python.

Overview

wt-registry provides a simple, explicit decorator-based approach to registering functions with rich metadata and automatic JSON schema generation using Pydantic.

Features

• Explicit Registration: Use @register decorator with metadata (title, description, tags)
• Type Safety: Requires complete type annotations for all registered functions
• JSON Schema Generation: Automatically generates JSON schemas using Pydantic TypeAdapter
• Minimal Dependencies: Only requires Python 3.10+ and Pydantic
• CLI Tool: Export registry contents as JSON via command-line interface
• Fully Serializable: Registry stores metadata and schemas, not function objects

Quick Start with Examples

The fastest way to see wt-registry in action:

# Clone the repository
git clone https://github.com/USERNAME/wt-registry.git
cd wt-registry

# One-time setup
uv sync

# Run an example
uv run python examples/basic_registration.py

See examples/README.md for more examples demonstrating:

• Basic function registration
• JSON and pretty output formats
• Function filtering
• Deprecated function handling
• Multi-module scenarios

Installation

uv pip install wt-registry

Quick Start

from wt_registry import register, get_registry

@register(
    title="Calculate Statistics",
    description="Calculate mean, median, and stdev of numeric values",
    tags=["statistics", "analysis"]
)
def calculate_statistics(
    values: list[float],
    precision: int = 2
) -> dict[str, float]:
    import statistics
    return {
        "mean": round(statistics.mean(values), precision),
        "median": round(statistics.median(values), precision),
        "stdev": round(statistics.stdev(values), precision) if len(values) > 1 else 0.0,
    }

# Access the registry
registry = get_registry()
for fqn, entry in registry.items():
    print(f"{entry.metadata.title}: {fqn}")
    print(f"  Schema: {entry.json_schema}")

CLI Usage

Export the entire registry as JSON:

wt-registry > registry.json

Filter by tags:

wt-registry --filter-tag statistics --format pretty

Filter by module:

wt-registry --module "myapp.tasks.*"

Requirements

• Python 3.10+
• Pydantic 2.0+

Development

Install development dependencies:

# IMPORTANT: Use --group dev (not --extra dev) with dependency-groups
uv sync --group dev

Note: This project uses [dependency-groups] instead of [project.optional-dependencies]. You must use --group dev to install dev dependencies (pytest, mypy, ruff, etc.). Running uv sync alone will not install dev dependencies.

Set up pre-commit hooks (automatically runs ruff linting and formatting on every commit):

uv run pre-commit install

Run tests:

uv run pytest

Run type checking:

uv run mypy src/wt_registry

License

BSD-3-Clause