philiprehberger-test-data 0.1.7

Generate realistic fake data for testing without external dependencies

philiprehberger-test-data

Generate realistic fake data for testing without external dependencies.

Installation

pip install philiprehberger-test-data

Usage

from philiprehberger_test_data import fake

# Basic generators
fake.name()          # "Alice Johnson"
fake.email()         # "[e-mail]"
fake.integer(1, 100) # 42
fake.boolean()       # True
fake.uuid()          # "a1b2c3d4-..."

# Seed for reproducible output
fake.seed(42)
fake.name()  # always the same name with seed 42

# Bulk generation
fake.many(fake.name, 5)   # ["Alice Smith", "Bob Jones", ...]
fake.many(fake.integer, 3, 1, 100)  # [42, 87, 13]

API

Method	Description
fake.seed(value)	Set random seed for reproducible output
fake.name()	Full name (first + last)
fake.first_name()	First name
fake.last_name()	Last name
fake.email()	Email address
fake.integer(low, high)	Random integer in [low, high]
fake.floating(low, high)	Random float in [low, high]
fake.boolean()	Random boolean
fake.choice(items)	Random item from list
fake.sentence(words)	Random sentence
fake.paragraph(sentences)	Random paragraph
fake.uuid()	UUID4 string
fake.date(start_year, end_year)	Random date
fake.datetime_(start_year, end_year)	Random datetime
fake.address()	Street address
fake.full_address()	Full address with city, state, ZIP
fake.phone()	Phone number
fake.company()	Company name
fake.hex_color()	Hex color code
fake.ip_address()	IPv4 address
fake.url()	URL
fake.many(generator, count, *args, **kwargs)	List of N generated values

Development

pip install -e .
python -m pytest tests/ -v

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License

MIT