dummy-data-generator-id 0.2.3

A library for generating realistic dummy data for Indonesian context

DummyDataGeneratorId

A Python utility class for generating realistic dummy data with Indonesian context. This generator can create various types of data including names, emails, addresses, phone numbers, and more.

Installation

pip install dummy-data-generator-id

Usage

Basic Usage

from dummy_data_generator_id import DummyDataGeneratorId

# Generate a single complete user data
user = DummyDataGeneratorId.generate_user_data()

# Generate multiple user data
users = DummyDataGeneratorId.generate_user_data(count=5)

Individual Data Generation

Generate Name

# Random gender name
name = DummyDataGeneratorId.generate_name()

# Specific gender name
male_name = DummyDataGeneratorId.generate_name(gender='male')
female_name = DummyDataGeneratorId.generate_name(gender='female')

Generate Email

# Random email
email = DummyDataGeneratorId.generate_email()

# Email based on name
email = DummyDataGeneratorId.generate_email(name="John Doe")

Generate Phone Number

# Indonesian phone number (default)
phone = DummyDataGeneratorId.generate_phone()

# Custom country code
phone = DummyDataGeneratorId.generate_phone(country_code='60')

Generate Address

# Random address
address = DummyDataGeneratorId.generate_address()

# Address with specific province
address = DummyDataGeneratorId.generate_address(province='DKI Jakarta')

Generate Job Title

job = DummyDataGeneratorId.generate_job()

Generate Company Name

company = DummyDataGeneratorId.generate_company()

Generate Birthdate

# Default age range (18-65)
birthdate = DummyDataGeneratorId.generate_birthdate()

# Custom age range
birthdate = DummyDataGeneratorId.generate_birthdate(min_age=25, max_age=45)

Generate Credit Card Details

credit_card = DummyDataGeneratorId.generate_credit_card()

Generate Username

username = DummyDataGeneratorId.generate_username()

Generate UUID

uuid = DummyDataGeneratorId.generate_uuid()

Output Examples

Single User Data

{
    'id': '123e4567-e89b-12d3-a456-426614174000',
    'name': 'Ahmad Setiawan',
    'email': '[e-mail]',
    'username': 'BlueKangaroo123',
    'gender': 'male',
    'phone': '6281234567890',
    'birthdate': datetime.datetime(1990, 5, 15),
    'address': {
        'street': 'Jalan Merdeka No. 45',
        'city': 'Kota DKI Jakarta',
        'province': 'DKI Jakarta',
        'postal_code': '12345'
    },
    'job': 'Senior Developer - IT',
    'company': 'PT Teknologi Maju',
    'credit_card': {
        'type': 'Visa',
        'number': '4532015112830366',
        'expiry_date': '05/25',
        'cvv': '123'
    }
}

Features

• Generate Indonesian-context dummy data
• Support for both single and bulk data generation
• Customizable parameters for most generators
• Realistic data patterns
• Built-in validation (e.g., Luhn algorithm for credit card numbers)

Data Types Available

• Full Names (Gender-specific)
• Email Addresses
• Phone Numbers (Indonesian format)
• Addresses (Indonesian provinces)
• Job Titles
• Company Names
• Birthdates
• Credit Card Details
• Usernames
• UUIDs

Notes

• All generated data is fictional and should only be used for testing purposes
• Credit card numbers are valid format but not real cards
• Phone numbers follow Indonesian mobile number formats
• Addresses use Indonesian provinces and city naming conventions

Requirements

• Python 3.6+
• UUID library

License

MIT License