FDJ SLAYER

A Python application that generates random EuroMillions lottery draws using multiple entropy sources to maximize randomness.

Description

This project aims to create truly random EuroMillions lottery draws by combining various entropy sources including hardware information, weather data, system metrics, and cryptographic functions. It generates a configurable number of draws and allows users to view them.

Features

• Multiple entropy sources for good randomness:
  • Weather data from OpenMeteo API
  • Hardware and system information
  • OS random data and cryptographic functions
  • CPU/memory usage and other dynamic metrics
• Fully configurable lottery draws
• Statistical analysis of generated draws:
  • Chi-square testing for randomness verification
  • Frequency distribution analysis of numbers and stars
  • Calculation of standard deviation and variation percentages
  • P-value assessment of randomness quality
• Visualization capabilities:
  • Bar charts showing number/star distributions
  • Comparison with expected frequencies
  • Interactive display of statistical results

Installation

1. Clone the repository:

git clone https://github.com/Floriansylvain/FDJ-SLAYER.git
cd FDJ-SLAYER

2. Install dependencies:

pip install -r requirements.txt

Usage

Run the main script to generate lottery draws:

python main.py

The program will:

1. Generate the configured number of random draws
2. Display a randomly selected draw as the final result
3. Allow you to view additional draws on request

How It Works

The application uses a combination of entropy sources to generate truly random lottery draws:

1. Static Entropy Sources:

   • OS random data
   • Hardware identifiers
   • System configuration
   • Weather data from geographically random locations

2. Dynamic Entropy Sources:

   • Current timestamp
   • CPU and memory usage
   • Process and thread information
   • Network statistics

All sources are combined, hashed, and processed to create seeds for the random number generator that selects the lottery numbers.

Testing

Unit tests are included to verify the functionality of all major components.

Running Tests

Run the test suite with pytest:

python -m pytest test/

For a coverage report:

python -m pytest --cov-report term --cov=./fdj_slayer test/

Configuration

Edit the constants in src/constants.py to modify:

Parameter	Description
NUMBER_OF_DRAWS	Number of draws to generate
NUMBER_OF_NUMBERS	Number of main numbers in a draw (5 for EuroMillions)
MAX_NUMBER	Maximum main number value (50 for EuroMillions)
NUMBER_OF_STARS	Number of star numbers in a draw (2 for EuroMillions)
MAX_STAR	Maximum star number value (12 for EuroMillions)
Weather API parameters	Configuration for the OpenMeteo API

Dependencies

Package	Purpose
openmeteo_requests	Weather data retrieval
progress	Progress bar visualization
psutil	System metrics collection
requests-cache	Caching API requests
numpy	ValuesAsNumpy() on API results
retry-requests	Retry failed API requests
pytest	Unit testing framework
pytest-cov	Test coverage reporting
pytest-mock	Mocking for tests
matplotlib	Data visualization
scipy	Statistical calculations

License

FDJ-SLAYER © 2025 by Florian Sylvain is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).