AITestCase
A生成测试用例:基于页面和需求文档内容结合自动生成测试用例,解决单个需求文档生成测试用例质量较差的问题。Test Case Generation: Automatically generate test cases based on the current page and requirement document content, solving the problem of poor quality test cases generated from a single requirement document.
Install / Use
/learn @Echoxiawan/AITestCaseREADME
AITestCase
English | 中文 A tool for generating test cases based on the current webpage and requirement documents.
Features
- 📋 Test Case Generation: Automatically generate test cases based on the current page and requirement document content, solving the problem of poor quality test cases generated from a single requirement document.
- 🔐 Multiple Login Methods: Supports login with username/password and cookies.
- 📊 Excel Export: Supports exporting test cases to Excel format.
- 📝 Requirement Association: Automatically associates test cases with requirement documents.
- 🛠️ Customizable: Flexible configuration options to suit different project needs.
- 📄 Multiple Document Formats: Supports requirement documents in various formats including plain text, Markdown, and Word (DOCX).
- 🌐 Web Interface: Provides a beautiful and user-friendly web interface for easier use.
Installation Steps
- Ensure Python 3.9 or higher is installed.
- Clone or download this repository.
- Install dependencies:
pip install -r requirements.txt - Install Playwright:
playwright install
Usage
Web Interface
You can use the web interface for a more user-friendly experience:
# Start the web interface
python main.py --web
Then open your browser and navigate to http://localhost:5000 to access the interface.
Note: You can change the default port by setting the
APP_PORTenvironment variable in your.envfile.

The image above shows the AITestCase web interface where you can configure test parameters such as URL, login method, and requirement documents in a simple and intuitive way.

The image above shows the result page after AITestCase generates test cases, where you can view test results and download the Excel file.
Basic Usage
Command Line Usage
# Basic usage
python main.py --url <website URL>
# Login with username and password
python main.py --url <website URL> --username <username> --password <password>
# Login with cookies
python main.py --url <website URL> --cookies "<cookie string>"
# Use requirements documents (supports .txt, .md, .docx)
python main.py --url <website URL> --requirements "requirement1.docx,requirement2.md,requirement3.txt"
Cookie Login Support
This tool supports multiple cookie formats:
- Key-Value Format (common in browser developer tools):
cookie1=value1; cookie2=value2; JSESSIONID=123456789; auth_token=abcdefg
Example
# Login with key-value format cookies
python main.py --url https://example.com --cookies "session=abc123; token=xyz789"
Command Line Parameters
python main.py --url https://example.com --username user --password pass
Use AI to Identify Login Elements
python main.py --url https://example.com --login-url https://example.com/login --username user --password pass --use-ai-login
This will use AI to automatically identify form elements on the login page, more accurately locating the login form than traditional methods.
View all available parameters:
python main.py --help
Configuration Options
Configuration files are located in the config/ directory, where you can modify the following settings:
settings.py: General settingsuser_agents.py: User agent strings
Correct Use of Cookie Login
Cookie strings can be in one of the following formats:
- Standard Key-Value:
cookieName=cookieValue; otherCookie=otherValue
Open Source License
GPL License
Troubleshooting
Cookie Issue Troubleshooting
If you encounter cookie-related issues, try the following steps to troubleshoot:
-
Check Cookie Format: Ensure the cookie format is correct, preferably using the browser developer tools to export cookies
# Copy cookies in Chrome browser 1. Open Developer Tools (F12) 2. Switch to the Application/Network tab 3. Find the cookies or the cookie header in the request 4. Copy the complete cookie string -
View Detailed Logs: Modify
config/settings.pyto set the log level to DEBUG# Set in config/settings.py LOG_LEVEL = "DEBUG" # Options: DEBUG, INFO, WARNING, ERROR -
Try Other Login Methods: If cookie login continues to fail, try username/password login
python main.py --url https://example.com --username user --password pass
View Browser Interface
If you need to see the browser operation process, use the --show parameter:
python main.py --url https://example.com --cookies "sessionid=abc123" --show true
This is particularly useful for debugging cookie and login issues, allowing you to observe the actual behavior and redirection of the browser.
