datacheckerpro

datacheckerpro

Overview

datacheckerpro 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 datacheckerpro

---

## **Usage**

### **1️⃣ Import the Validator Class**
```python
from datacheckerpro.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
To check if a number if froma particular contitnent , you can do this

data = "[phone]"
validator = DATAVALIDATOR(data)
print(validator.african_numbers()) #output :True
repeat for other continents by simply calling the method continentname_numbers()

4️⃣ Validate a Date

data = "2024-02-1123"
validator = DATAVALIDATOR(data)
print(validator.validate_date())  # Output: True

5️⃣ Validate a URL

data = "https://google.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-v

Contributing

Contributions are welcome! To contribute:

• Fork the repository
• Create a feature branch:

  git checkout -b featurebranch
  

• Commit your changes:

  git commit -m "Added new feature"
  

• Push to the branch:

  git push origin featurebranch
  

• Open a Pull Request

License

This project is licensed under the MIT License.

Author

👤 OKOLI OGECHUKWU ABIMBOLA 📧 Email: [e-mail]