How to Build Playwright Tests Faster Using Cursor AI

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AI Summary

Summary of YouTube Video Transcript

Topic:

• Creating reliable automated tests using AI with Playwright and Cursor AI.

Application Under Test:

• Frappe CRM, an open-source CRM available on GitHub.
• Installation via Docker as per instructions in the repository README.
• Not all steps are necessary; some files like docker-compose.yml are already available in the cloned repo.
• Containers for Frappe CRM start and initialize, accessible through localhost and the specified port.

Tools Used:

• Cursor AI:
  • Downloadable from cursor.com for various operating systems.
  • Free for up to 2,000 chat completions with a two-week Pro trial.
  • Acts as a pair programmer, generating code based on instructions.
  • Can resolve errors and generate automation frameworks or tests.
  • Allows changing the AI provider, with CLA 3.5 Sonet used in the video.

Process:

• Launch Cursor AI, log in, and open the CRM folder.
• Use the composer (launched with Command + I) to interact with Cursor AI.
• Cursor AI can reference codebase and suggest files related to specific features like login.
• Generate an automation framework with Playwright in TypeScript, including page object models, logging actions, custom error handling, and environment variable support.

Framework Generation:

• Cursor AI reads repository files and creates a basic directory structure.
• Initializes a Playwright TypeScript project and installs necessary packages.
• Includes page object model pattern, custom error handling, logging functionality, constants, selectors, environment variable support, screenshot and video capture, HTML report generation, TypeScript support, and an object-oriented structure.

Error Handling and Test Execution:

• Cursor AI suggests fixes for errors in the test code.
• Test execution is demonstrated with Playwright, showing logging and headless mode operation.
• Adjustments are made to environment variables for successful login during tests.
• The generated report shows test results across different browsers.

Additional Features:

• Custom error and logger files are created automatically.
• Cursor AI can add appropriate locators or test IDs to development codebase for easier testing.
• Recommends restarting containers for changes to take effect.

Conclusion:

• The video demonstrates how AI can be leveraged to quickly create automated tests with Playwright and Cursor AI.
• Encourages viewers to like, comment, and subscribe for support.

Detailed Instructions and URLs (if provided):

• No specific CLI commands, website URLs, or detailed instructions were provided in the summary.