Brief Summary
This video demonstrates how to generate complete, end-to-end Playwright code, including setup and tests, using the Playwright MCP server and cloud models within Visual Studio Code. It covers installing the Playwright MCP server, configuring GitHub Copilot, and using a single prompt to create a product creation test, generate the necessary code, and set up the testing infrastructure.
- Installing Playwright MCP server in Visual Studio Code.
- Configuring GitHub Copilot with agent mode and necessary tools.
- Generating complete Playwright code, including tests, configurations, and setup files, using a single prompt.
Introduction to Code Generation with Playwright MCP Server
The video introduces the capability of generating complete end-to-end code using the Playwright MCP server and cloud models. It highlights that this method not only executes code but also generates it, including the complete Playwright setup, with just a single prompt. The presenter will demonstrate how to achieve this within Visual Studio Code.
Configuring Playwright MCP Server and GitHub Copilot
To start, the Playwright MCP server needs to be configured within Visual Studio Code. The presenter refers to a GitHub repository containing the Playwright MCP server, where users can install the server using the "install server" option. The MCP server has features for UI and API testing, including code generation. Additionally, GitHub Copilot needs to be installed and set to agent mode with the MCP server tool added. This setup enables the generation of code and infrastructure with a single command.
Installing Playwright MCP Server
The process of installing the Playwright MCP server from the GitHub repository involves clicking the "install server" button, which prompts a request to open Visual Studio Code. Upon confirmation, a UI appears, displaying the command (npx) and arguments required to install the Playwright MCP server. Clicking the install button completes the installation, and the server's status can be checked in the Visual Studio Code settings, where it should show the configured tools.
Generating Code and Infrastructure with a Single Prompt
The presenter demonstrates generating code for testing a product creation process on a website. Instead of just generating test code, the goal is to create the entire Playwright infrastructure, including configurations, installation files, and setup for running tests. A prompt is entered into Visual Studio Code, instructing it to navigate to a website, create a product with realistic information, and generate executable test code. The cloud sonet 4 model is selected for this operation.
Automated Test Execution and Code Generation
Upon sending the prompt, the Playwright navigate tool is invoked, and the website interaction begins automatically. The tool fills in product details, takes screenshots, and verifies the product's existence on the UI. Following this, the code generation process starts, creating not just the test itself but also the Playwright configuration for different browsers and various test permutations using spec files.
Complete Project Setup and Test Execution
The process continues with the creation of a package.json file, which includes scripts for running tests in different modes (headed, headless, debug). A plated config.ts file is generated, implementing best practices for test configuration. Additionally, a readme file is created to explain how the project works, along with TS configuration files. Finally, the tests are executed, and a run test.sh file is created for running the tests in a Docker container.
