ratpack 0.1.3

A humorous Python package that simulates rat infestations in your code! It provides tools to create, count, visualize, and exterminate virtual rat infestations represented as files on your filesystem.

RatPack 🐀

RatPack is a humorous Python package that simulates rat infestations in your code! It provides tools to create, count, visualize, and exterminate virtual rat infestations represented as files on your filesystem.

View on PyPI

Description

RatPack brings a bit of lighthearted fun to software development by creating harmless "rat" files in your project directories. These virtual rats can be managed using a set of intuitive functions. The package is perfect for:

• Teaching concepts of file system operations in a fun way
• Demonstrating Python decorator patterns
• Adding a bit of whimsy to your development process
• Setting up prank scenarios for your programmer colleagues

Installation

Install RatPack using pip:

pip install ratpack

Or with pipenv:

pipenv install ratpack

Usage

Quick Start

Create an infestation and manage it:

from ratpack import infest, count_rats, visualize_infestation, exterminate

# Decorate any function to create rats when it's called
@infest()
def my_function():
    return "This function creates rats when called!"

# Call the function to create rats
my_function()

# Count the rats
stats = count_rats()
print(f"You have {stats['total_rats']} rats!")

# Visualize the infestation
report = visualize_infestation()
print(report)

# Exterminate the rats
exterminate()

Function Documentation

The @infest Decorator

The @infest decorator creates rat files when the decorated function is called.

from ratpack import infest

@infest(infestation_level=3, rat_types=["sewer_rat", "brown_rat"], burrow_probability=0.2)
def my_function():
    return "This creates rats when called!"

Parameters:

• infestation_level (int, default=3): Controls how many rats are created (1-5)
• rat_types (List[str], default=None): List of rat types to create. If None, all types are used
• burrow_probability (float, default=0.2): Chance (0.0-1.0) of creating a rat burrow instead of individual rats

The count_rats Function

Count rat files in a specified directory.

from ratpack import count_rats

# Count all rats in the current directory
stats = count_rats()

# Count specific rat types only
stats = count_rats(directory="./project", include_burrows=True, rat_types=["sewer_rat"])

print(f"Total rats: {stats['total_rats']}")
print(f"Surface rats: {stats['surface_rats']}")
print(f"Burrowed rats: {stats['burrowed_rats']}")
print("Rats by type:", stats['rats_by_type'])

Parameters:

• directory (str, default="."): Directory to count rats in
• include_burrows (bool, default=True): Whether to count rats inside burrows
• rat_types (List[str], default=None): List of rat types to count. If None, count all types

Returns a dictionary with statistics about the rat infestation.

The visualize_infestation Function

Visualize the rat infestation in text or ASCII art format.

from ratpack import visualize_infestation

# Get a text visualization
text_report = visualize_infestation(output_format="text")
print(text_report)

# Get an ASCII art visualization
ascii_report = visualize_infestation(output_format="ascii")
print(ascii_report)

Parameters:

• directory (str, default="."): Directory to visualize rats in
• output_format (str, default="text"): Format of the output, either "text" or "ascii"
• include_burrows (bool, default=True): Whether to include rats inside burrows

Returns a string representation of the rat infestation.

The exterminate Function

Remove rat files from a specified directory.

from ratpack import exterminate

# Remove all rats
stats = exterminate()
print(f"Removed {stats['rats_removed']} rats")

# Remove only specific rat types
stats = exterminate(rat_types=["sewer_rat"])

# Remove only burrows (not individual rats)
stats = exterminate(burrows_only=True)

# Perform a dry run without actually removing any files
stats = exterminate(dry_run=True)

Parameters:

• directory (str, default="."): Directory to remove rats from
• rat_types (List[str], default=None): List of rat types to remove. If None, remove all types
• burrows_only (bool, default=False): If True, only remove burrows and rats inside them
• dry_run (bool, default=False): If True, don't actually remove files, just report what would be removed

Returns a dictionary with statistics about the extermination.

Example Program

Here's a complete example that demonstrates all RatPack functionality:

import os
from ratpack import infest, count_rats, visualize_infestation, exterminate

def main():
    """Demonstrate the full RatPack workflow."""
    print("🐀 RatPack Demo 🐀")
    
    # Clean directory
    print("\n1. First, let's check for existing rats:")
    initial_stats = count_rats()
    print(visualize_infestation())
    
    if initial_stats["total_rats"] > 0:
        print("\nClearing out existing rats for a clean demo...")
        exterminate()
    
    # Create three different levels of infestation
    print("\n2. Let's create some rat infestations with different parameters:")
    
    print("\n--- Low Infestation ---")
    create_low_infestation()
    low_stats = count_rats()
    print(visualize_infestation())
    print(f"Created {low_stats['total_rats']} rats")
    
    print("\n--- Medium Infestation ---")
    create_medium_infestation()
    medium_stats = count_rats()
    print(visualize_infestation())
    print(f"Created {medium_stats['total_rats']} rats")
    
    print("\n--- High Infestation with Burrows ---")
    create_high_infestation_with_burrows()
    high_stats = count_rats()
    print(visualize_infestation(output_format="ascii"))
    print(f"Created {high_stats['total_rats']} rats")
    
    # Demonstrate filtering by rat type
    print("\n3. Let's count only sewer rats:")
    sewer_stats = count_rats(rat_types=["sewer_rat"])
    print(f"Found {sewer_stats['rats_by_type']['sewer_rat']} sewer rats")
    
    # Demonstrate removing specific rat types
    print("\n4. Let's remove only brown rats:")
    before_partial = count_rats()
    exterminate_stats = exterminate(rat_types=["brown_rat"])
    after_partial = count_rats()
    print(f"Removed {exterminate_stats['rats_removed']} brown rats")
    print(f"Rats before: {before_partial['total_rats']}, Rats after: {after_partial['total_rats']}")
    
    # Clean up all rats
    print("\n5. Finally, let's clean everything up:")
    final_exterminate = exterminate()
    print(f"Removed {final_exterminate['rats_removed']} rats and {final_exterminate['burrows_removed']} burrows")
    
    # Verify cleanliness
    final_check = count_rats()
    if final_check["total_rats"] == 0:
        print("\nAll clean! No more rats!")
    else:
        print(f"\nOh no! {final_check['total_rats']} rats escaped extermination!")

@infest(infestation_level=1, rat_types=["sewer_rat"])
def create_low_infestation():
    """Create a low-level infestation with only sewer rats."""
    return "Low infestation created"

@infest(infestation_level=3, rat_types=["brown_rat", "black_rat"])
def create_medium_infestation():
    """Create a medium-level infestation with brown and black rats."""
    return "Medium infestation created"

@infest(infestation_level=5, burrow_probability=0.8)
def create_high_infestation_with_burrows():
    """Create a high-level infestation with all rat types and high burrow probability."""
    return "High infestation with burrows created"

if __name__ == "__main__":
    main()

Development Setup

To set up a development environment for RatPack:

1. Clone the repository:

git clone https://github.com/software-students-spring2025/3-python-package-team-1.git
cd 3-python-package-team-1

2. Install pipenv if you haven't already:

pip install pipenv

3. Install dependencies:

pipenv install --dev

4. Activate the virtual environment:

pipenv shell

Running Tests

Run the tests using pytest:

pytest

Building the Package

To build the package:

python -m build

This will create both source distribution and wheel files in the dist/ directory.

Publishing to PyPI

To publish the package to PyPI:

python -m twine upload dist/*

You'll need to provide your PyPI credentials.

Project Structure

RatPack/
├── src/
│   └── ratpack/
│       ├── __init__.py          # Package initialization and imports
│       ├── infest.py            # Core functionality implementation
│       └── images/              # Images for rat files
│
├── tests/
│   ├── __init__.py              # Test package initialization
│   ├── conftest.py              # Test fixtures and utilities
│   ├── test_infest_decorator.py # Tests for @infest decorator
│   ├── test_count_rats.py       # Tests for count_rats function
│   ├── test_exterminate.py      # Tests for exterminate function
│   ├── test_visualize_infestation.py # Tests for visualize_infestation function
│   └── test_integration.py      # Integration tests
│
├── .github/
│   └── workflows/               # GitHub Actions workflows
│
├── README.md                    # Project documentation
├── LICENSE                      # Project license
├── Pipfile                      # Project dependencies
└── setup.py                     # Package configuration for distribution

Environment Configuration

No special environment variables are needed to run RatPack. The package works directly with the file system as is.

Contributors

• Patrick Cao - [e-mail]
• Helen Ho - [e-mail]
• Noah Perelmuter - [e-mail]
• Apollo Wyndham - [e-mail]

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

RatPack creates files on your system but does not modify any existing files. The "rats" are just harmless image files with a .rat extension. While we've taken care to ensure these are benign, always be mindful when using packages that create files on your system.