test-datagenerator-faker-python 1.0.0

Test data generation utilities using Faker library for Python test automation projects

Test Data Generator (Python Faker)

Python implementation of test data generation utilities using the Faker library. Designed for test automation projects to generate realistic, reproducible test data.

Features

• Person Data: Names, emails, phones, addresses
• Company Data: Names, industries, catch phrases
• Finance Data: Credit cards, IBANs, currencies
• Internet Data: URLs, IP addresses, passwords
• Reproducibility: Support for seeds to generate consistent data
• Localization: Support for multiple locales (e.g., en-US, es-MX, ru-RU)
• Type Safety: Uses Pydantic models for structured data

Installation

pip install test-datagenerator-faker-python

Quick Start

from datagenerator import PersonDataGenerator

# Create generator
person_gen = PersonDataGenerator()

# Generate data
person = person_gen.generate_person()
print(f"Name: {person.first_name} {person.last_name}")
print(f"Email: {person.email}")

Structure

• datagenerator.core: Core functionality and factory
• datagenerator.generators: Specific data generators (Person, Company, etc.)
• datagenerator.models: Pydantic data models

See USAGE.md for detailed documentation.