Creating a library to check various types of a variable

[ferrarigian]

Library Name: CheckType

The CheckType library is designed to provide a set of validation functions for checking the data types of Python objects. This library is particularly useful within the Robot Framework, offering a straightforward way to assert and validate the types of variables.

Key Features:

1. Type Checking Functions:

   • The library includes a collection of functions to check if a given item is of a specific data type. Supported types include dictionaries, objects, integers, lists, booleans, floats, NoneType, tuples, and sets.

2. Customizable Error Messages:

   • Each type-checking function allows the user to include a custom error message. This feature enhances flexibility, enabling users to provide meaningful context in case of a type mismatch.

3. Negation Functions:

   • In addition to type-checking functions, the library provides corresponding functions to assert that an item is not of a certain type. This enables users to perform comprehensive type validation in their Robot Framework test cases.

Example Usage:

*** Settings ***
Library    CheckType

*** Test Cases ***
Validate Dictionary Type
    ${data}=    Create Dictionary    key=value
    CheckType.Should Be Dictionary    ${data}    msg=Expected a dictionary, but got ${data}

Ensure Not a List
    ${value}=   Set Variable    SomeValue
    CheckType.Should Not Be List    ${value}    msg=${value} should not be a list