pydepm 1.0.5

PyDepM — Python Dependency Manager

PyDepM — Python Dependency Manager

PyDepM (Python Dependency Manager) is a modern, dependency management tool for Python projects that combines the simplicity of npm with Python's powerful packaging ecosystem. It provides two main tools: pydep for dependency management and project scaffolding, and pydepx for enhanced script execution.

Features

🚀 pydep - Core Dependency Manager

• Project Scaffolding: Initialize apps or modules with sensible defaults
• Dependency Management: Add, remove, and update dependencies with version pinning
• Virtual Environment Management: Automatic venv creation and management
• Lockfile Support: Generate and use pypackage-lock.json for reproducible installs
• Build System: Build wheels, sdists, and PyInstaller executables
• Security Auditing: Vulnerability scanning with pip-audit
• Script Runner: npm-like script execution from pypackage.json
• Dependency Analysis: Understand why packages are installed with pydep why

⚡ pydepx - Enhanced Execution Tool

• Rich Output: Beautiful, colorized command output with real-time streaming
• Smart Module Execution: Automatic Python module detection and execution
• Cross-Platform: Consistent behavior on Windows, macOS, and Linux
• Signal Handling: Graceful interrupt handling for long-running processes
• Encoding Support: Robust handling of various terminal encodings

Installation

pip install pydepm

This installs both pydep and pydepx commands globally.

Quick Start

Create a New Project

# Create an application
pydep init --type app

# Or create a reusable module
pydep init my-module --type module 

Manage Dependencies

# Install all dependencies
pydep install

# Add a package
pydep add requests
pydep add "flask>=2.0.0"

# Add with caret syntax (equivalent to npm's ^)
pydep add "numpy^1.24.0"

# Remove a package
pydep remove requests

Run Scripts

# Run scripts defined in pypackage.json
pydep run dev
pydep run test

# Use pydepx for enhanced execution
pydepx black .                    # Run code formatter
pydepx -m pytest tests/          # Run tests as module
pydepx -m http.server 8000       # Run HTTP server

Table of Contents

• Project Structure
• pydep Commands
• pydepx Usage
• Configuration
• Advanced Features
• Examples
• Contributing

Project Structure

PyDepM uses a pypackage.json file to manage project configuration:

{
  "type": "app",
  "name": "my-project",
  "version": "0.1.0",
  "description": "My Python application",
  "dependencies": {
    "requests": "^2.28.0",
    "rich": "==12.6.0"
  },
  "scripts": {
    "dev": "python main.py",
    "test": "pytest tests/"
  },
  "useGlobalDeps": false
}

pydep Commands

Project Management

pydep init [name] [--type app|module]  # Initialize new project
pydep install [-e] [-g]                # Install dependencies
pydep build                            # Build package/executable

Dependency Management

pydep add <package> [--global]         # Add package(s)
pydep remove <package> [--global]      # Remove package(s)
pydep update [packages] [--global]     # Update packages
pydep list                             # List installed packages
pydep why <package>                    # Show dependency reason
pydep outdated                         # Check for outdated packages

Security & Quality

pydep audit [--json] [--extended]      # Security audit
pydep convert --to lock [--hashes]     # Generate lockfile
pydep convert --to toml [-o dir]       # Generate pyproject.toml

Script Execution

pydep run <script>                     # Run project script

pydepx Usage

pydepx enhances command execution with rich output and better handling:

# Direct command execution
pydepx black --check .
pydepx pylint src/

# Module execution (python -m style)
pydepx -m pytest -v tests/
pydepx -m pip install package
pydepx -m http.server --bind 127.0.0.1 8000

# Python file execution
pydepx script.py --arg1 value1

Configuration

Project Types

Application (app): Standalone applications with executable support

• Default project type
• Can build executables with PyInstaller
• Optional pyproject.toml generation

Module (module): Reusable Python packages

• Always generates pyproject.toml
• Supports setuptools packaging
• CLI entry point generation

Virtual Environments

By default, PyDepM creates and uses virtual environments. You can override this:

# Use global Python site-packages for a command
pydep install --global
pydep add requests --global

# Configure project to always use global deps
pydep init --type app --global-deps

Advanced Features

Lockfile Generation

# Fast generation (no hashes)
pydep convert --to lock

# Include SHA256 hashes for security
pydep convert --to lock --hashes

Executable Building

For app-type projects, configure executables in pypackage.json:

{
  "executable": {
    "target": "main.py",
    "parameters": ["--onefile", "--name=myapp"],
    "output": "dist/"
  }
}

Build with:

pydep build

Custom pyproject.toml

For advanced use cases, you can provide custom pyproject.toml content:

{
  "pyproject": {
    "[project.urls]": "https://github.com/ZtaMDev/PyDepM.git"
  }
}

Examples

Complete Workflow

# Create and set up a new module
pydep init --type module my-package
cd my-package

# Add dependencies
pydep add rich
pydep add "pytest^7.0.0" --dev

# Install everything
pydep install

# Run tests
pydep run test
# or with enhanced output
pydepx -m pytest tests/

# Build package
pydep build

# Security audit
pydep audit

Development Scripts

Define scripts in pypackage.json:

{
  "scripts": {
    "dev": "python main.py",
    "test": "pytest tests/ -v",
    "lint": "pylint src/",
    "format": "black . && isort ."
  }
}

Run with: pydep run lint or pydepx -m black .

Contributing

We welcome contributions! Please see our GitHub repository for:

• Bug reports and feature requests
• Pull requests and code contributions
• Documentation improvements

Development Setup

git clone https://github.com/ZtaMDev/PyDepM.git
cd PyDepM
pip install -e .

License

MIT License - see LICENSE for details.

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PyDepM makes Python dependency management intuitive and powerful, combining the best practices from modern development workflows with Python's rich ecosystem.