acto-pytoolkit 0.3.1

A collection of helper utilities for Python projects.

pytoolkit

pytoolkit is a small collection of helper modules that can be used across different Python projects.

The focus is on simple building blocks: configuration handling, logging, timing, HTTP helpers, caching, string helpers, and more.

Current version: 0.3.1

🌐 Website: www.actobotics.net
🐦 X/Twitter: @actoboticsnet

Project goals

• Provide small, composable utilities instead of a heavy framework
• Keep dependencies minimal and well known
• Make it easy to reuse the same helpers across many projects
• Stay readable and beginner friendly while still being robust

Installation

Basic Installation

pip install acto-pytoolkit

From Source

git clone https://github.com/actobotics/pyToolkit.git
cd pyToolkit
pip install -e .

Optional Dependencies

# For async HTTP client support
pip install acto-pytoolkit[async]

# For development (testing, linting, type checking)
pip install acto-pytoolkit[dev]

# For building documentation
pip install acto-pytoolkit[docs]

# Install everything
pip install acto-pytoolkit[all]

Usage overview

The package is split into focused modules:

• config_loader - Load configuration from JSON, YAML, TOML, and .env files
• logger - Colored logging with environment-based configuration
• timer - Function timing and profiling utilities
• http_client - Sync HTTP client with retry logic
• async_http_client - Async HTTP client using aiohttp (optional)
• crypto_utils - Hashing and secure token generation
• file_utils - Safe file operations with atomic writes
• cache - In-memory caching with TTL support
• retry - Retry decorator with exponential backoff
• validators - Validation for email, URL, UUID, IP addresses
• math_tools - Moving average, normalization, scaling
• string_tools - Slugify, case conversion, text processing
• task_scheduler - Simple in-process task scheduling
• env - Environment detection utilities
• cli - Command-line interface framework
• context_utils - Nested dictionary operations
• serialization - JSON, YAML, TOML helpers

See the examples directory for small, complete scripts, or check the full documentation.

Quick Example

from pytoolkit import ConfigLoader, get_logger, HttpClient

# Configure logging
logger = get_logger()

# Load configuration
config = ConfigLoader(env_file=".env", json_file="config.json")
api_url = config.get("API_URL", "https://api.example.com")

# Make HTTP request with automatic retries
with HttpClient(base_url=api_url, max_retries=3) as client:
    response = client.get("/users")
    users = client.json(response)
    logger.info("Fetched %d users", len(users))

CLI

After installation a small CLI entry point is available:

pytoolkit info
pytoolkit env

Use pytoolkit --help to see available commands.

Contributing

• Fork the repository
• Create a new branch for your change
• Add or adjust tests where it makes sense
• Run the test suite:

python -m unittest discover -s tests

• Open a pull request with a short description of your change

Versioning

The project follows a simple semantic versioning scheme:

• Breaking changes bump the major version
• New features bump the minor version
• Small fixes bump the patch version

Key Features

🚀 Enhanced HTTP Client

• Support for PATCH method
• Custom headers and authentication
• Async HTTP client with aiohttp

🎯 Improved Validators

• Better email validation (RFC 5322 compliant)
• URL validation with TLD requirements
• Strict mode options

🧪 Comprehensive Testing

• 80%+ code coverage
• Tests for all modules
• CI/CD with GitHub Actions

📚 Complete Documentation

• Sphinx documentation
• API reference for all modules
• Quick start guide and examples

🛠️ Developer Tools

• Pre-commit hooks (Black, Ruff)
• MyPy strict type checking
• Automated testing on Python 3.9-3.12

Changelog

See CHANGELOG.md for a detailed history of changes.