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 factorydatagenerator.generators: Specific data generators (Person, Company, etc.)datagenerator.models: Pydantic data models
See USAGE.md for detailed documentation.
1 maintainer
Metadata
1 maintainer
Release files for test-datagenerator-faker-python 1.0.0
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