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Python Library that builds a complete CLI given one or more functions using introspection

Project description

Freyja

Freyja ⚡

No-dependency, zero-configuration CLI tool to build command-line interfaces purely from your code.

Transform your Python functions and classes into powerful command-line applications in seconds! Freyja uses introspection and type annotations to automatically generate professional CLIs with zero configuration required.

Table of Contents

🚀 Why Freyja?

Build CLIs in under 5 minutes! No configuration files, no complex setup, no learning curve. Just add type annotations to your functions and Freyja does the rest.

pip install freyja
# That's it! No dependencies, no configuration needed.

Before Freyja:

python script.py --config-file /path/to/config --database-host localhost --database-port 5432 --username admin --password secret --table-name users --action create --data '{"name": "Alice", "email": "alice@example.com"}'

After Freyja:

python script.py database--create-user --name Alice --email alice@example.com
# Global config handled automatically, clean syntax, built-in help

⚡ Quick Start

Step 1: Install Freyja

pip install freyja

Step 2: Add type annotations to your functions

def greet(name: str = "World", excited: bool = False) -> None:
    """Greet someone by name."""
    greeting = f"Hello, {name}!"
    if excited:
        greeting += " 🎉"
    print(greeting)

Step 3: Add 3 lines of Freyja code

from freyja import CLI
import sys

if __name__ == '__main__':
    cli = CLI(sys.modules[__name__], title="My CLI")
    cli.display()

Step 4: Use your new CLI!

python script.py greet --name Alice --excited
# Output: Hello, Alice! 🎉

python script.py --help
# Automatic help generation with beautiful formatting

🗂️ Module-based CLI

Perfect for functional programming styles and simple utilities. Every function becomes a command:

# data_processor.py
from freyja import CLI
import sys


def process_csv(input_file: str, output_format: str = "json", verbose: bool = False) -> None:
    """Process CSV file and convert to specified format."""
    print(f"Processing {input_file} -> {output_format}")
    if verbose:
        print("Verbose mode enabled")


def analyze_logs(log_file: str, pattern: str, max_lines: int = 1000) -> None:
    """Analyze log files for specific patterns."""
    print(f"Analyzing {log_file} for pattern: {pattern} (max {max_lines} lines)")


if __name__ == '__main__':
    cli = CLI(sys.modules[__name__], title="Data Processing Tools")
    cli.display()

Usage:

python data_processor.py process-csv --input-file data.csv --output-format xml --verbose
python data_processor.py analyze-logs --log-file app.log --pattern "ERROR" --max-lines 500
python data_processor.py --help  # Beautiful auto-generated help

🏗️ Class-based CLI

Ideal for stateful applications and complex workflows. Supports two powerful patterns:

Direct Methods Pattern

Simple and clean - each method becomes a command:

# calculator.py
from freyja import CLI


class Calculator:
    """Advanced calculator with memory and history."""

    def __init__(self, precision: int = 2, memory_enabled: bool = True):
        """Initialize calculator with global settings."""
        self.precision = precision
        self.memory = 0 if memory_enabled else None

    def add(self, a: float, b: float, store_result: bool = False) -> None:
        """Add two numbers together."""
        result = round(a + b, self.precision)
        print(f"{a} + {b} = {result}")
        
        if store_result and self.memory is not None:
            self.memory = result
            print(f"Result stored in memory: {result}")

    def multiply(self, a: float, b: float) -> None:
        """Multiply two numbers."""
        result = round(a * b, self.precision)
        print(f"{a} × {b} = {result}")


if __name__ == '__main__':
    cli = CLI(Calculator, title="Advanced Calculator")
    cli.display()

Usage:

python calculator.py --precision 4 add --a 3.14159 --b 2.71828 --store-result
# Output: 3.14159 + 2.71828 = 5.8599
#         Result stored in memory: 5.8599

Inner Classes Pattern

Organize complex applications with flat double-dash commands:

# project_manager.py
from freyja import CLI
from pathlib import Path


class ProjectManager:
    """Complete project management suite with organized command structure."""

    def __init__(self, config_file: str = "config.json", debug: bool = False):
        """Initialize with global settings."""
        self.config_file = config_file
        self.debug = debug

    class Database:
        """Database operations and management."""

        def __init__(self, connection_string: str = "sqlite:///projects.db", timeout: int = 30):
            """Initialize database connection."""
            self.connection_string = connection_string
            self.timeout = timeout

        def migrate(self, version: str = "latest", dry_run: bool = False) -> None:
            """Run database migrations."""
            action = "Would run" if dry_run else "Running"
            print(f"{action} migration to version: {version}")
            print(f"Connection: {self.connection_string}")

        def backup(self, output_path: Path, compress: bool = True) -> None:
            """Create database backup."""
            compression = "compressed" if compress else "uncompressed"
            print(f"Creating {compression} backup at: {output_path}")

    class Projects:
        """Project creation and management operations."""

        def __init__(self, workspace: str = "./projects", auto_save: bool = True):
            """Initialize project operations."""
            self.workspace = workspace
            self.auto_save = auto_save

        def create(self, name: str, template: str = "basic", description: str = "") -> None:
            """Create a new project from template."""
            print(f"Creating project '{name}' using '{template}' template")
            print(f"Workspace: {self.workspace}")
            print(f"Description: {description}")
            print(f"Auto-save: {'enabled' if self.auto_save else 'disabled'}")

        def deploy(self, project_name: str, environment: str = "staging", force: bool = False) -> None:
            """Deploy project to specified environment."""
            action = "Force deploying" if force else "Deploying"
            print(f"{action} {project_name} to {environment}")


if __name__ == '__main__':
    cli = CLI(ProjectManager, title="Project Management Suite")
    cli.display()

Usage:

# Global + Sub-global + Command arguments (all flat)
python project_manager.py --config-file prod.json --debug \
  database--migrate --connection-string postgres://prod --version 2.1.0 --dry-run

# Create new project with custom workspace
python project_manager.py projects--create --workspace /prod/projects --auto-save \
  --name "web-app" --template "react" --description "Production web application"

# Deploy with force flag
python project_manager.py projects--deploy --project-name web-app --environment production --force

# Beautiful help shows all flat commands organized by group
python project_manager.py --help

✨ Key Features

🚀 Zero Configuration - Works out of the box with just type annotations
Lightning Fast - No runtime dependencies, minimal overhead
🎯 Type Safe - Automatic validation from your type hints
📚 Auto Documentation - Help text generated from your docstrings
🎨 Beautiful Output - Professional themes and formatting
🔧 Flexible Architecture - Module-based or class-based patterns
📦 No Dependencies - Uses only Python standard library
🌈 Shell Completion - Bash, Zsh, Fish, and PowerShell support
Production Ready - Battle-tested in enterprise applications

📚 Documentation

📖 Complete Documentation Hub - Everything you need to master Freyja

Quick Links

🛠️ Development

📖 Development Guide - Comprehensive guide for contributors

Quick Setup

# Clone and setup
git clone https://github.com/tangledpath/freyja.git
cd freyja

# Install Poetry and setup environment  
curl -sSL https://install.python-poetry.org | python3 -
./bin/setup-dev.sh

# Run tests and examples
./bin/test.sh
poetry run python examples/mod_example.py --help
poetry run python examples/cls_example.py --help

Development Commands

poetry install              # Install dependencies
./bin/test.sh              # Run tests with coverage
./bin/lint.sh              # Run all linters and formatters
poetry build               # Build package
./bin/publish.sh           # Publish to PyPI (maintainers)

⚙️ Requirements

  • Python 3.13.5+ (recommended) or Python 3.8+
  • Zero runtime dependencies - uses only Python standard library
  • Type annotations required - for automatic CLI generation
  • Docstrings recommended - for automatic help text generation

Ready to transform your Python code into powerful CLIs?

pip install freyja
# Start building amazing command-line tools in minutes! ⚡

📚 Get Started Now →

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