DataValidityCheck 0.0.1

A Python package for validating various types of data.

DataValidityCheck - Data Validation Package

Overview

DataValidityCheck is a Python package designed to validate personal data, including emails, phone numbers, dates, and URLs. It provides robust validation methods to ensure data accuracy and compliance with common formats.

Table of Contents

• Installation
• Features
• Usage
  • Email Validation
  • Phone Number Validation
  • Date Validation
  • URL Validation
• Contributing
• License

Installation

To install DataValidityCheck, use:

pip install DataValidityCheck

Features

• Email Validation: Ensures a valid email format.
• Phone Number Validation: Supports Nigerian phone numbers in local and international formats.
• Date Validation: Validates dates in the DD/MM/YYYY format, including leap years.
• URL Validation: Checks for valid domain structures, including http, https, and www prefixes.

Usage

First, import the DataValidator class:

from DataValidityCheck.validate_info_data import DataValidator

validator = DataValidator()

Email Validation

print(validator.validate_email("[e-mail]"))  # True
print(validator.validate_email("invalid-email"))  # False

Phone Number Validation

print(validator.validate_phone("08123456789"))  # True
print(validator.validate_phone("[phone]"))  # True
print(validator.validate_phone("123456"))  # False

Date Validation

print(validator.validate_date("29/02/2024"))  # True (Leap year)
print(validator.validate_date("31/04/2023"))  # False (April has 30 days)

URL Validation

print(validator.validate_url("https://www.google.com"))  # True
print(validator.validate_url("htp://invalid.com"))  # False

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a new branch (feature-branch).
3. Commit your changes.
4. Submit a pull request.

Ensure you run tests before submitting:

pytest tests/

Author

• Main Maintainer: Olajide Oluwafemi Richard

License

This package is open-source and available under the MIT License.