validateurgenerique 0.3.0

A tool for validating, transforming, and controlling data.

Package Name: validateurgenerique Overview This package provides utilities for data validation and transformation. It includes modules for schema validation, form validation, and various data transformations.

Installation You can install the package using pip from PyPI or directly from GitLab.

From PyPI: pip install validateurgenerique From GitLab: pip install validateurgenerique --index-url https://gitlab.com/api/v4/projects/54359493/packages/pypi/simple Modules schemavalidator.py This module includes a SchemaValidator class for validating data against JSON schemas.

Example usage: from validateurgenerique import SchemaValidator

Create a schema validator instance

validator = SchemaValidator(schema=my_schema)

Validate data against the provided schema

is_valid, errors = validator.validate_schema(data=my_data) transformation.py This module contains a Transformations class with various data transformation methods.

Example usage: from validateurgenerique import Transformations

Create a transformations instance

transformer = Transformations(date_formats=["%Y-%m-%d"])

Transform date to a different format

transformed_date = transformer.transform_date(date_str="2024-02-05") formvalidator.py This module provides a FormValidator class for validating data against a specified form schema.

Example usage: from validateurgenerique import FormValidator

Create a form validator instance

validator = FormValidator(schema=my_form_schema)

Validate data against the provided form schema

validation_errors = validator.validate_schema(data=my_form_data) Example Use Cases Schema Validation: from validateurgenerique import SchemaValidator

Create a schema validator instance

validator = SchemaValidator(schema=my_schema)

Validate data against the provided schema

is_valid, errors = validator.validate_schema(data=my_data) Data Transformation: from validateurgenerique import Transformations

Create a transformations instance

transformer = Transformations(date_formats=["%Y-%m-%d"])

Transform date to a different format

transformed_date = transformer.transform_date(date_str="2024-02-05") Form Validation: from validateurgenerique import FormValidator

Create a form validator instance

validator = FormValidator(schema=my_form_schema)

Validate data against the provided form schema

validation_errors = validator.validate_schema(data=my_form_data) Contributors Gharbi Youssef License This package is distributed under the MIT license.