korede-data-validator-tool 0.2

A simple data validation package

Personal Data Validator

Overview

Personal Data Validator is a Python package designed to efficiently validate various types of personal data, including:

• Email addresses
• Phone numbers
• Dates
• URLs

This package follows Object-Oriented Programming (OOP) principles, ensuring modularity, reusability, and easy integration into different projects.

---

Installation

Install the package using:

pip install datavalidator

---

Usage

1️⃣ Import the Validator Class

from datavalidator.validator import DataValidator

2️⃣ Validate an Email

data = "[e-mail]"
validator = DataValidator(data)
print(validator.validate_email())  # Output: True

3️⃣ Validate a Phone Number

data = "[phone]"
validator = DataValidator(data)
print(validator.validate_phone())  # Output: True

4️⃣ Validate a Date

data = "2024-03-14"
validator = DataValidator(data)
print(validator.validate_date())  # Output: True

5️⃣ Validate a URL

data = "https://example.com"
validator = DataValidator(data)
print(validator.validate_url())  # Output: True

---

Running Tests

The package includes unit tests to ensure proper functionality. Run tests using:

pytest tests/

---

Contributing

Contributions are welcome! To contribute:

1. Fork the repository
2. Create a feature branch:

   git checkout -b feature-branch
   

3. Commit your changes:

   git commit -m "Added new feature"
   

4. Push to the branch:

   git push origin feature-branch
   

5. Open a Pull Request

---

License

This project is licensed under the MIT License.

---

Author

👤 Oluwakorede Oyewole
📧 Email: [e-mail]

---