XenValidator 0.1.4

XenValidator is schema validation library for Python, You can Validate Strings, Numbers, Objects, Arrays, Dates, URLs, Ip addresses & more. You can even create your custom validators! Make sure to give it a ⭐ on github.

XenValidator

XenValidator is a powerful, flexible, and easy-to-use Python library for validating data structures. It simplifies the process of defining complex validation rules, handling cross-field dependencies, and providing informative error messages.

Features

Comprehensive Validation: Supports validation for strings, numbers, dates, arrays, urls, and custom data types.

Custom Error Handling: Easily customize error messages for various validation rules.

Flexible Date Formats: Supports multiple date formats to match various use cases.

Installation

Install XenValidator using pip:

    pip install xenvalidator

Example usage:

Import the package into to your app:

    from XenValidator import X, Object, ValidationError

Create and validate the schema.

    Schema = Object({
        "Name": X["STRING"](),
        "Age":  X["NUMBER"]().min(2),
        "Tags": X["ARRAY"](),
    })

    try:
        Data = {
            "Name": "John Doe",
            "Age": 18,
            "Tags": ["TAG1", "TAG2", "TAG3"], 
        }
        Schema.validate(Data)
        print("Data is valid:", Data)
    except ValidationError as e:
        print("Data is invalid:", e)

Explanation

• Name: Required field validated as a string. A custom error message is provided if validation fails.
• Age: Number field with a minimum value of 2. A custom error message is triggered if validation fails.
• Tags: Array field validated to ensure it is indeed an array. A custom error message is returned if validation fails.