Data Generator

This project generates synthetic data for enterprise application management, including locations, applications, application usage, and information flows. The generated data is saved as CSV files.

Features

• Generates random locations, applications, application usage, and information flows
• Uses the Faker library for realistic fake data
• Outputs four CSV files:
  • eam_locations.csv
  • eam_applications.csv
  • eam_application_usage.csv
  • eam_information_flows.csv
• Each run prints a summary of generated records and the output files

Requirements

• Python 3.7+
• See requirements.txt for dependencies

Installation

pip install -r requirements.txt

Usage

Run the data generator script:

python data_generator.py

The generated CSV files will appear in the same directory.
After completion, the script prints a summary like:

--- Generation Complete ---
Generated <locations> locations.
Generated <applications> applications.
Generated <application usage entries> application usage entries.
Generated <information flows> information flows.
CSV files created: eam_locations.csv, eam_applications.csv, eam_application_usage.csv, eam_information_flows.csv

Configuration

You can adjust the number of applications, locations, and information flows by editing the configuration variables at the top of data_generator.py:

• NUM_APPLICATIONS
• NUM_LOCATIONS
• AVG_LOCATIONS_PER_APP
• NUM_INFORMATION_FLOWS

Output

• eam_locations.csv: List of generated locations with region, country, and city.
• eam_applications.csv: List of applications with details like name, description, criticality, and vendor.
• eam_application_usage.csv: Links applications to locations with user counts.
• eam_information_flows.csv: Simulated information flows between applications, including flow name, description, frequency, protocol, and sensitivity.

License

This project is provided for demonstration and testing purposes.