Generate K6 Test Case using a webpage screenshot and test case scenario as input.
OpenAI Vision Documentation: https://platform.openai.com/docs/guides/vision

TBD

You need Python 3.12.2 installed in your system. If you are using pyenv then check the version using the command: pyenv version

1. Install poetry

   # Linux, macOS, Windows (WSL): https://python-poetry.org/docs/#installing-with-the-official-installer
   curl -sSL https://install.python-poetry.org | python3 -

2. Set poetry to create virtual environment within project folder

   poetry config virtualenvs.in-project true

3. Install dependency and create the virtual environment

   poetry install

4. Run the app with poetry

   poetry run python main.py

   or launch the app via VS Code debug menu. VS Code launch config file is also provided for easy debugging 🤓

To update dependencies use: poetry update
If you want to update dependencies in pyproject.toml, then you need to install plugin poetry-plugin-up. Use the command below:

poetry self add poetry-plugin-up

Once installed, use command poetry up to install updates and edit pyproject.toml automatically.
To view virtual environment location, use: poetry env info --path
To generate requirements.txt using poetry, you need to have an export plugin installed.

Install the plugin:

poetry self add poetry-plugin-export

Once the plugin is installed, use the export command to generate requirements.txt

poetry export -f requirements.txt --output requirements.txt --without-hashes

There are 2 environment variables you can specify.

1. OPENAI_API_KEY: This is your OpenAI API key.
2. GRADIO_SERVER_PORT: This is the Gradio server port. This is optional if not specified in the launch method.

If you are planning on deploying the app to the cloud, you need a Docker image. To build the same use the Dockerfile provided. The multi-stage build makes sure the resulting image is smaller in size and only includes the libraries that are needed. Also, the use of non-root user makes it more secure.

Build arm64 image (Make sure cloud deployment supports arm64 images):

docker build --no-cache -t scr_to_testcase_latest .

For amd64 image (most common and widely supported):

docker buildx build --no-cache --platform linux/amd64 -t scr_to_testcase_latest .

Once the image is built, you can push the same to any cloud provider and use a serverless service to deploy the same easily.

To run the Docker image locally use the below command:

docker run -it \
-e GRADIO_SERVER_PORT=8080 \
-e OPENAI_API_KEY=your_key_here \
-p 8080:8080 \
--name scr_to_testcase \
scr_to_testcase_latest

1. UI is built using Gradio
   
2. Test icons created by Freepik - Flaticon
3. Screenshot icons created by Iamkikirizky - Flaticon

MIT License

Copyright (c) 2024 Sumit Sahoo

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