Python Valideer class library source code interpretation

Python Valideer is a Python library for data validation. It provides a simple and extensible way to validate data in Python. With Valideer, you can define your validation rules and easily validate input data against those rules. The library is particularly useful when working with user input, such as form submissions or API requests, where you need to ensure that the data meets certain criteria before processing it further. Valideer uses a schema-based approach to data validation. This means that you define a schema that describes the structure and constraints of the data you want to validate, and then use Valideer to validate input data against that schema. Here's a simple example of how you can use Valideer to validate a user's input: python from valideer import Validator, ValidationError # Define a schema for the user's input user_schema = { "name": {"type": str, "required": True}, "age": {"type": int, "required": True, "min": 18}, "email": {"type": str, "required": True, "format": "email"} } # Create a Validator with the schema validator = Validator(user_schema) # Input data to validate input_data = { "name": "John Doe", "age": 25, "email": "johndoe@example.com" } # Validate the input data against the schema try: validated_data = validator.validate(input_data) print("Input data is valid:", validated_data) except ValidationError as e: print("Input data is invalid:", e) In this example, we first define a schema that describes the expected structure of the user's input. Then, we create a Validator with the schema and use it to validate the input data. If the input data meets the criteria defined in the schema, the validation is successful and the validated data is returned. If the input data does not meet the criteria, a ValidationError is raised. Valideer also provides support for custom validators, error messages, and nested validation, making it a versatile and powerful tool for data validation in Python. Overall, Python Valideer is a handy library for ensuring the integrity and quality of input data, and it can be used in a variety of applications, from web development to data processing and beyond.