CLI tool to generate test plans from video recordings using Google's Gemini models
npm install @10xdevspl/test-planner``bash | '_ \| '_ \ / _ \ '__|
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|_ _|__ ___| |_ | _ \| | __ _ _ __ _ __ ___ _ __
| |/ _ \/ __| __| | |_) | |/ _
| | __/\__ \ |_ | __/| | (_| | | | | | | | __/ |
|_|\___||___/\__| |_| |_|\__,_|_| |_|_| |_|\___|_|
``
A Node-based CLI tool to generate test plans from video recordings using Google's Gemini models.
Created test plan can be used as an input for Agentic AI model such Claude 3.7 Sonnet - it contains scenarios, steps and expected selectors to cover your project with E2E tests.
All the constraints of Google Generative AI models must be followed.
`bash`
npm install -g @10xdevspl/test-planner
`bash`
npx @10xdevspl/test-planner --video=user-session.mov --outDir=./my-tests
Include the following environment variable in your .env file or pass it as an argument:
`
GOOGLE_API_KEY=your_api_key_here
Generate it here - Google AI Studio
- --video (required): Path to the video file to analyze--outDir
- : Output directory for the test plan (default: ./e2e)--model
- : Gemini model to use (default: gemini-2.0-flash)--optimize
- : Optimize video using ffmpeg before processing (default: false)--fps
- : Frames per second for optimized video (default: 15, requires --optimize)
- Node.js 22 or higher
- (Optional) If using the --optimize` flag, ffmpeg must be installed on your system
ISC