ez_validator 0.3.1

Dead simple field/object schema validation for flutter,EzValidator api is inspired by Yup

0.0.1

• ez_validator

0.1.1

• add filledForm option + add set custom locale errors

0.1.2

• fix web plugin error + required custom messages

0.1.3

• add new validations methods

0.1.4

• Fix languages toggle

0.1.5

• Add support to all platforms

0.2.1

• Fix support for Desktop platforms
• Fix typos
• Remove unused files

0.2.2

• Add default values
• Add error key labels

0.3.0

• Nested Validation Support
• Extended Validation Methods:
  • String Validation Methods
  • Numerical Validation Methods
  • Date Validation Methods
  • Boolean Validation Method
  • General/Common Validation Methods
  • List (Array) Validation Methods
• catchErrors Method:
  • Introduced the catchErrors method for capturing and returning validation errors in a structured format. This method is particularly useful for detailed error analysis and customized error handling in applications.
• validateSync Method:
  • Added the validateSync method, offering synchronous validation that returns both processed data and validation errors. This method enhances usability by providing a convenient way to validate data and simultaneously retrieve the validated output.

0.3.1

• .when(String key, ValidationCallback<T> validator): Provides conditional validation based on the value of another field in the schema. The method accepts a key, which refers to another field in the schema, and a validator, which is a function that executes the validation logic. The validator function should return null if the validation passes or a custom error message if it fails. This method is particularly useful for scenarios where the validation of one field depends on the value of another field, such as confirming a password.
• .transform(T Function(T) transformFunction): Applies a transformation function to the field's value before any validation is performed. The method takes a transformFunction which receives the current field value and returns a transformed value. This method is useful for preprocessing the data, such as trimming strings, converting types, or formatting values, before applying the validation rules.