robotframework-domretrylibrary 2.4.0

AI-powered smart locator with retry functionality for Robot Framework using OpenAI

Robot Framework DomRetryLibrary

A Robot Framework library with AI-powered fallback for locator variables, enhancing test reliability by using OpenAI to dynamically generate element locators when primary locators fail.

Installation

Install the library using pip:

pip install robotframework-domretrylibrary

Usage

Import the library in your Robot Framework test file:

*** Settings ***
Library           SeleniumLibrary
Library           DomRetryLibrary    # Just use the direct class name

Define your locators and AI fallback descriptions:

*** Variables ***
${USERNAME_FIELD}      css=#non_existent_username_id
${AI_USERNAME_FIELD}   the username input field with placeholder 'Username'

Use the AI fallback in your tests:

*** Test Cases ***
Login Test
    Open Browser    https://example.com    chrome
    AI Fallback Locator    Input Text    USERNAME_FIELD    myusername
    Close Browser

New in Version 2.3.0: Direct AI Descriptions

You can now provide the AI description directly without needing to define an AI_ variable:

AI Fallback Locator    Input Text    css=#username    myusername    ai_description=the username input field

This approach is especially useful when you:

• Want to use a dynamic description
• Need to use locators without defining variable pairs
• Prefer inline descriptions for better readability
• Need to quickly test different descriptions

New in Version 2.4.0: Backward Compatibility for Existing Test Patterns

Version 2.4.0 adds intelligent backward compatibility for existing test patterns. It's now more forgiving and will:

1. Handle empty locators by inferring from context
2. Find any matching AI_ variable if none is explicitly specified
3. Continue execution rather than failing when no description is found

This means your existing test structure will still work:

*** Keywords ***
Wait And Input Text
    [Arguments]    ${locator}    ${text}
    ${status}    ${error}=    Run Keyword And Ignore Error    Input Text    ${locator}    ${text}
    Run Keyword If    '${status}' == 'FAIL'    AI Fallback Locator    Input Text    ${locator}    ${text}

And empty locator variables will be handled gracefully:

*** Variables ***
${SUBMIT_BUTTON}    # Empty locator
${AI_SUBMIT_BUTTON}    the login button

*** Test Cases ***
Login Test
    AI Fallback Locator    Click Element    ${SUBMIT_BUTTON}    # Works with empty locator

API Key Setup

Store your OpenAI API key in a .env file in your project directory:

OPENAI_API_KEY=your_api_key_here

Or provide it when initializing the library:

*** Settings ***
Library    DomRetryLibrary    api_key=${OPENAI_API_KEY}

How It Works

1. The library first attempts to use your primary locator
2. If the primary locator fails, it uses OpenAI to generate a new locator based on your description
3. The AI-generated locator is used as a fallback
4. Successful fallbacks are logged for future reference

Library Parameters

When importing the library, you can set several parameters:

Library    DomRetryLibrary    
...    api_key=${OPENAI_API_KEY}    
...    model=gpt-4o    
...    locator_storage_file=my_locators.json

Parameter	Default	Description
api_key	None	OpenAI API key (falls back to environment variable)
model	gpt-4o	OpenAI model to use
locator_storage_file	locator_comparison.json	File to store successful AI locators

Keywords

The library provides the following keywords:

• AI Fallback Locator - Add AI fallback to any locator-based keyword

License

MIT