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Helpful tools for Logging, Typer, Pydantic, and Debugging

Project description

🛠️ pytools

A modular collection of Python utilities for Typer, Pydantic, and Debugging. Built for high-performance developer workflows using uv and hatchling.

pytools is designed as a "buffet" library—install only the submodules you need to keep your project dependencies lean.

🚀 Quick Start

Add pytools to your project using uv. You can choose specific "extras" to pull in only the dependencies required for that module.

# Install just the Typer utilities (and their deps)
uv add "pytools[typer] @ git+ssh://git@github.com/buchanan-solutions/pytools.git"

# Install everything
uv add "pytools[all] @ git+ssh://git@github.com/buchanan-solutions/pytools.git"

📦 Submodules

Extra Description Key Dependencies
core Foundational logic used by all modules. None (Std Lib only)
typer CLI helpers, context management, and rich logging. typer, rich, python-dotenv
pydantic Custom validators and base model configurations. pydantic
pydantic-settings Environment management and config loading. pydantic-settings
debugging Enhanced print utilities and object inspection. icecream

💡 Usage

Typer Context Helper

Easily grab objects from the Typer context in nested commands:

from pytools.typer.utils.get_from_ctx import get_from_ctx
from my_app.models import Config

@app.command()
def run(ctx: typer.Context):
    # Traverses parent contexts automatically
    config = get_from_ctx(ctx, "config", Config)
    ...

Enhanced Debugging

from pytools.debugging.debug_print import debug_print

data = {"status": "success", "meta": [1, 2, 3]}
debug_print(data) # Beautifully formatted terminal output

🛠️ Development

This project uses the src layout and hatchling backend.

# Clone and sync environment
git clone https://github.com/your-org/pytools.git
cd pytools
uv sync --all-extras

# Run tests
uv run pytest

📜 License

MIT © 2026 Buchanan Information Systems Inc.

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