StreamzAI Test Case Generator - Internship project

StreamzAI Test Case Generator is a powerful web application that generates test cases for your project files using Plawright Chromium Window. It provides a user-friendly interface to manage projects, test suites, and test runs, with comprehensive reporting and visualization features.

Features

• Web-based dashboard for managing test generation
• Automatic traversal of project directories
• Support for multiple programming languages (Python, JavaScript, TypeScript, Java, C, C++, C#, Go, Ruby, PHP)
• AI-powered test case generation using Google's Generative AI
• Test execution and result tracking
• Visual reporting with charts and statistics
• Export capabilities for test results
• Structured output format that mirrors your project structure

Installation

1. Clone this repository or download the files
2. Install the required dependencies:

pip install -r requirements.txt

After installing all the dependencies install playwright chrome engines if you face any errors else not required to run the below command

playwright install

Environment Setup

This application is configured on python version 3.12.7 create virtual environment using conda

# On Windows
conda create -p venv python == 3.12.7

# Activate venv using
conda activate venv/

Running the Application

1. Initialize the database (first time only):

python
>>> from app import app, db
>>> with app.app_context():
...     db.create_all()
>>> exit()

2. Start the Flask server:

python app.py

3. Open your web browser and navigate to http://localhost:5000

Using the Application

Dashboard

The dashboard provides an overview of your projects, test suites, test runs, and recent activity. From here, you can navigate to different sections of the application.

Projects

1. Create a new project by clicking "Add Project"
2. Provide a name, path to your project directory, and optional description
3. Submit to create the project

Test Suites

1. Create a new test suite by clicking "Add Test Suite"
2. Select a project, provide a name and optional description
3. Submit to create the test suite
4. The application will scan your project directory and generate test cases for supported files

Test Runs

1. Create a new test run by clicking "Add Test Run"
2. Select a test suite, provide a name
3. Submit to start the test run
4. The application will execute the generated test cases and record the results

Reports

The reports section provides visualizations and statistics about your test runs, including:

• Test result distribution
• Pass/fail rates
• Execution times
• Detailed test case information

You can also export test results to various formats for further analysis.

Supported File Extensions

• Python (.py)

Example Output

from playwright.async_api import async_playwright
import asyncio

async def test_recorded_actions():
    async with async_playwright() as p:
        browser = await p.chromium.launch(headless=False)
        page = await browser.new_page()
        await page.goto('https://www.wikipedia.org')
        await page.click('main > nav:nth-of-type(1) > div:nth-of-type(1) > a > strong')
        await page.click('.cdx-button.cdx-button--action-default.cdx-button--weight-normal.cdx-button--size-medium.cdx-button--framed.cdx-search-input__end-button')
        await browser.close()
asyncio.run(test_recorded_actions())

License

MIT