测试自动化平台

git clone <repository-url>
cd mcp_integration

# Create virtual environment
python -m venv venv

# Activate (Windows)
.\\venv\\Scripts\\activate

# Install dependencies
pip install -r requirements.txt

# Run the automated setup script
.\\setup_mcp.bat

# Required for GitHub operations
GITHUB_TOKEN=your_github_personal_access_token

# Required for AI test generation
AZURE_OPENAI_KEY=your_azure_openai_key
AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/

playwright install chromium firefox webkit

cd frontend
npm install
cd ..

cd app/api
uvicorn main:app --reload --port 8001

cd frontend
npm run dev

python -m app.recorder.run_playwright_recorder_v2 --url "https://example.com" --capture-dom --timeout 60

from app.self_healing_with_mcp import SelfHealingExecutor
from pathlib import Path

# Initialize executor
executor = SelfHealingExecutor(framework_root=Path("./framework_repos/my-framework"))

# Run with automatic self-healing (up to 2 retries)
success, logs, healing_attempts = executor.run_trial_with_real_time_healing(
    script_content=my_test_script,
    test_url="https://app.com/page",
    max_retries=2,
    headed=False
)

if success:
    print(f"✅ Test passed after {len(healing_attempts)} healing attempts")

# 1. Record with trace enabled (default)
python -m app.recorder.run_playwright_recorder_v2 --url "https://example.com" --timeout 60

# 2. Analyze the recording
python -m app.recorder.trace_analyzer recordings/<session_name>

# 3. View trace in Playwright Inspector
playwright show-trace recordings/<session_name>/trace.zip

📊 Summary:
  - Trace events: 45
  - Recorded actions: 42
  - Missing events: 3
  - Coverage: 93.3%

❌ Missing Events:
  1. Type: click → Selector: button[data-testid="submit"]
  2. Type: fill → Selector: input#email
  3. Type: check → Selector: input[type="checkbox"]#terms

# Query the vector DB
python -m app.core.vector_db query "Create Supplier" --top-k 5

# List stored documents
python -m app.core.vector_db list --limit 50

from app.core.mcp_client import get_microsoft_docs_mcp

docs_mcp = get_microsoft_docs_mcp()

# Search documentation
results = docs_mcp.search_docs("Playwright locators")

# Get code samples
samples = docs_mcp.search_code_samples("getByRole", language="typescript")

from app.core.mcp_client import get_github_mcp

github = get_github_mcp()

# Search code
code_results = github.search_code("playwright locators")

# Clone repository
github.clone_repository(repo_url, target_path)

mcp_integration/
├── app/
│   ├── api/                    # FastAPI backend
│   ├── core/                   # Core utilities
│   │   ├── llm_client.py      # LLM integration (self-healing)
│   │   ├── mcp_client.py      # MCP server clients
│   │   ├── vector_db.py       # Vector database
│   │   └── browser_utils.py   # Browser utilities
│   ├── generators/             # Test generation
│   │   └── agentic_script_agent.py  # AI script generation
│   ├── recorder/               # Recording module
│   │   ├── run_playwright_recorder_v2.py
│   │   └── mcp_integration.py # Recorder MCP integration
│   ├── ingestion/              # Data ingestion
│   └── services/               # Business logic
├── frontend/                   # React UI
├── docs/                       # Documentation
│   └── MCP_INTEGRATION.md     # MCP integration guide
├── recordings/                 # Recording output
├── framework_repos/           # Cloned test frameworks
├── .vscode/
│   └── mcp.json               # MCP server configuration
├── .env.template              # Environment variables template
├── setup_mcp.bat              # MCP setup script
└── requirements.txt           # Python dependencies

# Run all tests
python -m pytest -q

# Run specific test file
python -m pytest app/tests/test_vector_db.py -v

# Run with coverage
python -m pytest --cov=app --cov-report=html

Error: npx: command not found

Error: GitHub API rate limit exceeded

ModuleNotFoundError: No module named 'app.core.mcp_client'

# Basic self-healing trial
from app.self_healing_with_mcp import SelfHealingExecutor

executor = SelfHealingExecutor(framework_root=Path("./my-framework"))
success, logs, attempts = executor.run_trial_with_real_time_healing(
    script_content=test_script,
    test_url="https://app.com",
    max_retries=2
)

# Check if healing was successful
if success and attempts:
    print(f"✅ Healed after {len(attempts)} attempts")

from app.self_healing_executor import run_trial_with_self_healing

success, logs, attempts = run_trial_with_self_healing(
    script_content=script,
    framework_root=Path("./framework"),
    max_retries=3,
    headed=True  # Show browser for debugging
)

from app.core.mcp_client import (
    get_microsoft_docs_mcp,
    get_github_mcp,
    get_filesystem_mcp
)

# Search official Playwright docs
docs_mcp = get_microsoft_docs_mcp()
results = docs_mcp.search_docs("getByRole selector")

# Find test patterns in GitHub
github_mcp = get_github_mcp()
patterns = github_mcp.search_code("microsoft/playwright", "page.getByRole")

# Safe file operations
fs_mcp = get_filesystem_mcp()
fs_mcp.safe_write_file(Path("test.spec.ts"), content, backup=True)