WebdriverIO with Appium - Mobile Automation

Install Android Studio on mac and configure Android home and sdk paths in bash and jet profiles. Create Android virtual devices and install Xcode for mac-based mobile automation testing.

Connect a real Android device to your laptop for mobile automation testing by enabling developer options, USB debugging, and using adb to verify the connection, with visor mirroring.

Overview on APM3 architecture, updates from APM2, and migration paths. It explains the client-server-driver flow and plugin enhancements (performance, image, universal xml, AI) in a lightweight modular ecosystem.

Reset existing apm configurations with apm setup reset, then install apm globally using npm install -g apm. Verify the installation with apm --version or apm -b on mac or windows.

Install apm drivers and plugins for mobile automation testing using the apm installer, install uiautomator2 and xui tester drivers, and add the inspector plugin.

Establish an APM inspector session by configuring desired capabilities and use the inspector to interact with elements, record actions, and view element information and app source.

Install and configure webdriverio with appium for mobile testing by running npm init webdriverio, selecting Android, mocha, JavaScript, and generating specs and page objects, then npm install.

Explore the wdio.conf.js as the central runtime configuration for the WebDriverIO test runner, detailing test execution, appium connections, services, framework, reporting, and the top-level export of the config object.

Set up a local wdio with appium configuration, connect via port 4723, and define spec and exclude patterns for Android emulator Chrome with UIAutomator and controlled concurrency.

Learn how to configure WebdriverIO with Appium by adjusting logging, failure policy, timeouts, retries, and hooks in the configuration file, including mosha-based options, reporters, services, and lifecycle hooks.

Configure Android device capabilities by updating the desired capabilities with device name, platform version, and app path; verify USB debugging and run tests with npx wdio to launch the app.

Install and restart the VS Code extension for WebDriverIO, configure the e2e.js test, connect the device, and run tests with the play button as the server starts automatically.

Discover how describe groups mocha tests with a suite name and an arrow function, while it runs each case. Describe is optional and ui is set to bdd.

Understand how async and await control WebDriverIO with Appium for mobile automation, pausing execution until commands finish and preventing false positives.

Organize apk files in an apps folder and resolve the path dynamically with path.join and process.cwd. Specify the app activity and package to launch the Android app and run tests.

Identify an element with xpath using the APM inspector and interact with it through the WebDriver IO $ selector to perform a login operation.

Identify elements using accessibility ID and interact across Android and iOS. Use dollar notation to click and set values, or XPath when accessibility ID is unavailable.

Learn how Appium and WebdriverIO handle test execution logs, APM server port allocation when 4723 is occupied, and element identification with waits for login flows.

Learn to identify elements with xpath in mobile automation using appium and webdriverio, including using text, class attributes, and indexed xpaths, then perform click actions.

Compare setValue and addValue in mobile automation: setValue clears the text field before typing, while addValue appends to existing text; demonstrated with a login form in WebdriverIO with Appium.

Trigger and handle mobile alerts with webdriverio and appium by accepting, dismissing, and reading alert text, using xpath or id/css selectors to locate alert elements.

Master the getAttribute command to retrieve an element's attribute values via the apm inspector, then print the text attribute with console.log to verify results.

Learn to handle dropdowns in mobile automation testing with webdriverio and appium by creating a drop down handling spec, using xpath to select options, and validating the chosen value.

Learn to perform swipe down and swipe up gestures on a mobile app using browser.execute with the apm scroll gesture, configured by strategy, selector, and direction.

Explore mobile scrolling with ui scrollable in Android, using scroll to end, scroll to beginning, and scroll into view or scroll text into view with ui selector.

Learn to perform a left swipe on a mobile element using WebdriverIO with Appium by calculating the element's position and size, then issuing a native swipe gesture via browser.execute.

Learn to handle web views in mobile apps by switching context from native to web view using Appium and WebdriverIO, locate web elements, and navigate to sites like Bing.com.

Learn to configure iOS and Android capabilities in WebDriverIO with Appium, update iOS-specific settings (device name, platform version, UDID, app path), write a launch spec, and run on a simulator.

Set up the web driver agent on mac by building integration app, the web driver agent lib, and the runner, then sign in and capabilities, and install on your device.

Identify elements using accessibility ids in mobile automation tests with webdriverio and appium across iOS and android, perform clicks and input values, and fallback to xpaths when ids are unavailable.

Identify elements by tag name or class name in mobile apps with WebdriverIO and Appium. Use double dollar to fetch all matches, iterate, and log each element's text.

Identify elements using xpath by building expressions with tag names and attributes like label, name, value, or type, and use indexing to select a single element for click operations.

Learn to identify iOS elements with the class chain locator in WebdriverIO, an efficient alternative to XPath, implement a click using iOS class chain in a test script.

Use the ios predicate string as a fast locator to identify ios elements in native app automation, demonstrated by clicking the sign up button; prioritize accessibility id, then xpath.

Handle iOS alerts in mobile automation with WebdriverIO and Appium, from alerts to text-entry and destructive prompts. Use accessibility IDs to capture alert text and perform accept or dismiss actions.

Understand how a describe with multiple its runs sequentially within one test session, while multiple spec files execute in parallel per configuration, for mobile automation with WebdriverIO and Appium.

Master handling switches in iOS apps with WebdriverIO and Appium by locating switches via accessibility id, tapping to toggle, and verifying state changes, including using noReset to skip reinstall.

Learn to handle iOS date pickers in WebdriverIO Appium using a dynamic XPath (with contains label and following-sibling) to select today or future dates from the calendar.

Learn to handle segmented controls in mobile automation using WebdriverIO and Appium by selecting options, verifying highlights, and refining locators with XPath and accessibility ID to reliably interact with tools.

Learn to control multiple iOS sliders using WebdriverIO with Appium by selecting each slider via accessibility id or xpath, and setting its value to 0.9.

Learn to handle web views in mobile automation with Appium and WebdriverIO, switch contexts on iOS and Android, and implement a safe tab for overlapping UI elements in swag labs.

Learn to handle web views with WebdriverIO and Appium, selecting by accessibility ID, entering bing.com, and using getContext to check the context, plus a mobile tap workaround when needed.

Perform a generic scroll down and scroll up in a UI kit catalog app using browser.execute with accessibility IDs, applicable to both Android and iOS.

Learn to perform swipe left and swipe right gestures in mobile automation with WebdriverIO and Appium, using onboarding images with accessibility id and configuring the Verve app.

Learn to implement an end-to-end scenario for a mobile app using WebdriverIO with Appium, covering login, add to cart, checkout, form filling, and logout on iOS.

Transform an end-to-end iOS flow into a page object model, defining login, home, cart, info, and overview pages with locators and actions like login, add to cart, and logout.

Organize the test suite into Android and iOS folders under page objects and specs to form a reusable mobile automation framework, with Excel or JSON test data and utilities.

Learn to create Android and iOS shared configurations in WebdriverIO with Appium, defining capabilities, organizing base and platform-specific files, and running cross-platform mobile automation tests.

Define and use before, before each, after, and after each hooks to set preconditions and postconditions, explain their lifecycle in the test runner and configuration, and demonstrate execution counts.

Implement an after test hook in the WebdriverIO configuration to capture screenshots on test failures, using an iOS alerts view and saving images to a dedicated error shots directory.

Discover how to run mobile automation tests on browser stack by uploading your app, configuring WebDriverIO with the browser stack service, and specifying device and app details for cloud testing.

Troubleshoot and stabilize BrowserStack integration for mobile automation testing with WebDriverIO and Appium, resolving import, configuration, and activity issues to establish reliable sessions and live execution insights.

Upload the SwagLabs app, test without an activity name locally, and verify the test runs on a cloud platform using App Automate, checking the build and execution insights.

Learn to initialize a git repository, stage changes, commit locally, and push to a remote GitHub repository using git init, git add, git commit, and git push.

Push code from local to a new GitHub repository by initializing a git repo, staging with git add, committing, and pushing after configuring user credentials; ignore node_modules and .env files.

Discover how GitHub actions automate sdlc workflows by triggering on push and pull requests, with workflows containing jobs and steps defined in a ci.yml under .github/workflows.

Modify the yaml run chunk in a GitHub Actions workflow to run a config using environment secrets, and define browser stack user and key in repository secrets.

Install allure reporting, configure it in WebdriverIO reporters, and generate and view the allure results with the command line tools.

Learn how to attach a screenshot to a failed test in Allure reports by using an after test hook and browser.takeScreenshot, with a UIKit catalog app example.

Demonstrates using it.only and it.skip in a hooks2.spec.js to selectively run or skip tests, showing three ios tests (hook one, hook two, hook three) and console output.

Build the ui kit catalog app for a real iPhone in Xcode. Load its .app path into Appium Inspector, start a session, and verify via the alerts view accessibility id.

Explore what a large language model is, how it acts as a human brain for AI, and how training data enables translation, summarization, and question answering.

Explore how retrieval augmented generation augments LLMs with a knowledge base stored in a vector database to deliver accurate responses. Learn how embedding-based data retrieval augments queries without full retraining.

Explore Lang chain's role in connecting LLMs to external data for retrieval-augmented generation. Understand Lang graph as a memory-based graphical workflow with nodes, edges, states, and checkpoints coordinating AI agents.

Explore the human in the loop concept to require human approval for sensitive AI actions, identify and prevent hallucination with precise prompts, and implement guardrails to enforce safe AI behavior.

Explore how memory in AI enables recalling past interactions to sustain meaningful conversations, distinguishing short-term from long-term memory through chatbot examples and session persistence.

Understand why context matters for llms and how providing precise information shapes their outputs. See relatable examples that show how context improves accuracy and guides llms to deliver relevant results.

Explain how to set and pass a context to an LLM to act as manual or automation tester, enforcing acceptance criteria and UI mockups for test cases.

Explore zero-shot, one-shot, few-shot prompts and chain-of-thought techniques for automation testing, emphasizing clear instructions and structured context files to improve LLM outputs.

Compare ChatGPT, Copilot, and Cursor for coding assistance in mobile and web automation testing, noting Cursor's VS Code integration and its alignment with existing automation code bases.

Explore what an AI model is, how it learns from data to recognize patterns, and how AI models differ from large language models like GPT and image models like DALL-E.

Create a new Jira cloud account, set up a project, generate an API token for authentication, and install Zephyr squad for test management to support test case and defect workflows.

Install the wdio mcp, add an mcp.json in the .vscode directory, start the wdio server, and generate tests with copilot for web, mobile, and hybrid apps.

generate a mobile automation test script using WebDriverIO MCP by providing a detailed prompt, producing an iOS mcp.spec.js file, and running the test to validate locators and capture a screenshot.

Explore creating local agents with agent.md and skills.md to generate manual test cases and automation scripts from story IDs, integrating with Azure or Zira.

Sign up for a free azure dev apps account and set up access for testing. Create an organization and a project, then configure a pipeline to run playwright automation tests.

Create a manual test case generator agent that fetches user story details from azure dev apps and prints title, description, acceptance criteria, and stores ui mockups as screenshots.