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It helps development and QA teams to quickly identify issues, track test performance over time, and gain insights into failure patterns.\n\nIt can be: **Run as a Standalone CLI Tool**: Install globally or use with `npx` to quickly view reports.\n\n[Note: **Pulse Dashboard** uses playwright-pulse-report generated data]\n\n## Key Features\n\n[![pulse-dashboard-key-features](https://ocpaxmghzmfbuhxzxzae.supabase.co/storage/v1/object/public/images/pulse-dashboard/pulse-dashboard-key-features.svg)](https://ocpaxmghzmfbuhxzxzae.supabase.co/storage/v1/object/public/images/pulse-dashboard/pulse-dashboard-key-features.svg)\n\n*   **Real-time Dashboard**: View summary metrics (total, passed, failed, skipped, duration), test distribution charts, and system information from the latest test run.\n*   **Test Results**: Browse and filter test results by status, name, suite, tags, and browser. View detailed information for each test, including execution steps, error messages, and retries.\n*   **Trend Analysis**: Visualize historical data for test outcomes and duration over time to identify patterns and regressions.\n*   **Flaky Test Analysis**: Identify tests that have shown inconsistent pass/fail behavior across historical runs.\n*   **Failure Categorization**: Group common failure types based on error messages to quickly pinpoint systemic issues.\n*   **Attachment Viewing**:\n    *   **Screenshots**: Displays images captured during test execution (sourced from the `screenshots: string[]` field in each test result).\n    *   **Videos**: Allows viewing of video recordings of test runs (sourced from the `videoPath: string[]` field).\n    *   **Trace Files**: Provides download links for Playwright trace files for in-depth debugging (sourced from the `tracePath: string` field).\n    *   **Other File Types**: The UI includes tabs for HTML, PDF, JSON, Text/CSV, and other generic file types. *Note: To populate these tabs, your `playwright-pulse-report.json` would need to include an `attachments` array (or similar structured data) within each test result, where each element is an object like `{ name: string, path: string, contentType: string }`. Currently, these specific tabs are not populated directly from the `screenshots`, `videoPath`, or `tracePath` fields.*\n*   **Export to CSV**: Download the current run's test results as a CSV file for external analysis.\n*   **Customizable Theme**: Toggle between light and dark modes for optimal viewing.\n*   **Responsive Design**: Access the dashboard on various devices.\n\n## How to Use Pulse Dashboard\n\n### 1. As a Standalone CLI Tool (Recommended for quick report viewing)\n\nInstall the package globally or use `npx` to run the dashboard directly.\n\n**Prerequisites:**\n*   Node.js and npm/npx installed.\n*   playwright installed.\n*   Playwright-pulse-report npm package integrated into the playwright test repository (`playwright-pulse-report.json` and optional `history/trend-*.json` files) organized in a `pulse-report` directory.\n\n**Installation & Usage:**\n\n*   **Using npx (Recommended for easy, one-time use):**\n    Navigate to your project directory that contains the `pulse-report` folder (with your `playwright-pulse-report.json` inside it), and run:\n\n    ```bash\n    npx pulse-dashboard\n    ```\n\n    This will download and run the latest version of Pulse Dashboard without a global installation.\n\n    **Custom Output Directory Support:**\n    If you're using a custom output directory in your `playwright-pulse-report` configuration, Pulse Dashboard will automatically detect it from your `playwright.config.ts/js` file. Alternatively, you can specify it explicitly:\n\n    ```bash\n    npx pulse-dashboard --output-dir custom-report-folder\n    # OR using short form\n    npx pulse-dashboard -o custom-report-folder\n    ```\n\n    **Custom Port Configuration:**\n    You can specify a custom port for the dashboard server using either a CLI flag or environment variable. This is especially useful for Docker, cloud deployments, CI environments, or shared servers:\n\n    ```bash\n    # Using CLI flag\n    npx pulse-dashboard --port 8080\n    # OR using short form\n    npx pulse-dashboard -p 8080\n    \n    # Using environment variable\n    PORT=8080 npx pulse-dashboard\n    \n    # Combining custom output directory and port\n    npx pulse-dashboard --output-dir custom-report --port 3000\n    \n    # In Docker/CI environments\n    PORT=8080 npx pulse-dashboard -o /app/reports\n    ```\n\n    **Port Precedence:** CLI flag (`--port`) > Environment variable (`PORT`) > Default (`9002`)\n\n    **[NOTE: user does not need to navigate inside `pulse-report` folder]**\n\n*   **Global Installation (if you use it frequently):**\n\n    ```bash\n    npm install -g pulse-dashboard\n    ```\n\n    Then, navigate to your project directory that contains the `pulse-report` folder (not inside `pulse-report` folder) and run:\n\n    ```bash\n    npm run pulse-dashboard\n    ```\n\nThe dashboard will start on the specified port (default: `http://localhost:9002`) and serve data from the `pulse-report` directory located in your current working directory.\n\n**Data Directory Structure for CLI Usage:**\nWhen you run `pulse-dashboard` or `npx pulse-dashboard`, it expects the following structure in the directory **from where you run the command**:\n\n[![pulse-dashboard-client-folder-structure](https://ocpaxmghzmfbuhxzxzae.supabase.co/storage/v1/object/public/images/pulse-dashboard/pulse-dashboard-client-folder-structure.svg)](https://ocpaxmghzmfbuhxzxzae.supabase.co/storage/v1/object/public/images/pulse-dashboard/pulse-dashboard-client-folder-structure.svg)\n\n## Technical Stack (of this Dashboard Project/Component Package)\n\n[![pulse-dashboard-framework](https://ocpaxmghzmfbuhxzxzae.supabase.co/storage/v1/object/public/images/pulse-dashboard/pulse-dashboard-framework.svg)](https://ocpaxmghzmfbuhxzxzae.supabase.co/storage/v1/object/public/images/pulse-dashboard/pulse-dashboard-framework.svg)\n\n## NPM Scripts (for developing this project)\n\n-   `npm run pulse-dashboard`: Starts the Next.js development server for standalone source viewing.\n\n## Thank You\n\nSpecial Thanks to **[@Suman Vishwakarma](https://www.linkedin.com/in/suman-vishwakarma-426108185/)** for continuous UAT feedback and **[@Sagnik Ghosh](https://www.linkedin.com/in/sagnikghosh99/)** for continuous development related help.\n\n## **[View the Live Documentation](https://arghajit47.github.io/playwright-pulse-dashboard/)**\n\n## License\n\nThis project is licensed under the MIT License.\n","readmeFilename":"README.md"}