pip install -e .
pip install pyvis  # For visualization

# Set UTF-8 encoding (Windows)
$env:PYTHONIOENCODING="utf-8"

# Run large project demo
python test_large_project.py

cd output
start ecommerce-platform_full.html

# Clone repository
git clone <repository-url>
cd karate-feature-graph-analyzer

# Install dependencies
pip install -e .

# Install visualization library
pip install pyvis

# Verify installation
pytest tests/ -v

from karate_graph_analyzer.mcp_interface.mcp_tool import KarateGraphAnalyzerTool

# Initialize tool
tool = KarateGraphAnalyzerTool()

# Register project
tool.register_project(
    name="my-project",
    root_path="/path/to/karate/project",
    feature_file_patterns=["**/*.feature"]
)

# Analyze project
analysis = tool.analyze_project("my-project")
print(f"Found {analysis['statistics']['total_nodes']} nodes")

# Query dependencies
deps = tool.query_dependencies("tc_0001", transitive=True)
print(f"Found {deps['count']} dependencies")

# Impact analysis
impact = tool.impact_analysis("api_0001")
print(f"Affected: {impact['total_count']} test cases")

# Export graph
export = tool.export_graph("my-project", format="json")
with open("graph.json", "w") as f:
    f.write(export['data'])

from karate_graph_analyzer.visualization.graph_visualizer import GraphVisualizer

# Get graph
graph = tool.graphs["my-project"]

# Create visualizer
visualizer = GraphVisualizer(graph)

# Render full graph
visualizer.render("output/graph.html", height="900px")

# Render impact view
visualizer.render_impact_view(
    changed_component_id="api_0001",
    affected_test_case_ids=["tc_0001", "tc_0002"],
    output_path="output/impact.html"
)

# Analyze large project
python test_large_project.py

# Output will be in output/ directory:
# - ecommerce-platform_full.html (full graph)
# - ecommerce-platform_impact.html (impact view)
# - ecommerce-platform_graph.json (graph data)
# - LARGE_PROJECT_ANALYSIS_REPORT.md (detailed report)

karate-feature-graph-analyzer/
├── src/karate_graph_analyzer/
│   ├── models.py                    # Data models
│   ├── parser/                      # Feature file parsing
│   │   └── feature_parser.py
│   ├── graph/                       # Graph construction
│   │   └── graph_builder.py
│   ├── analyzer/                    # Dependency analysis
│   │   └── dependency_analyzer.py
│   ├── mcp_interface/               # MCP protocol
│   │   └── mcp_tool.py
│   ├── storage/                     # Project registry
│   │   └── project_registry.py
│   ├── cache/                       # AST caching
│   │   └── cache_manager.py
│   ├── visualization/               # Graph visualization
│   │   └── graph_visualizer.py
│   └── logging_config.py            # Logging setup
│
├── tests/
│   ├── unit/                        # 306 unit tests
│   ├── integration/                 # Integration tests
│   └── fixtures/                    # Test data
│
├── output/                          # Generated files
│   ├── ecommerce-platform_full.html
│   ├── ecommerce-platform_impact.html
│   ├── ecommerce-platform_graph.json
│   ├── LARGE_PROJECT_ANALYSIS_REPORT.md
│   └── README.md
│
├── test_project_demo/               # Small demo project
├── test_project_large/              # Large demo project (e-commerce)
├── examples/                        # Usage examples
├── docs/                            # Documentation
│   ├── API.md
│   └── jira_tag_extraction.md
│
├── test_large_project.py            # Demo script
├── pyproject.toml                   # Project config
├── pytest.ini                       # Test config
└── README.md                        # This file

# Run demo
python test_large_project.py

# View results
cd output
start ecommerce-platform_full.html

# Find what tests are affected by API change
impact = tool.impact_analysis("api_0001")

print(f"Changed: {impact['changed_component']}")
print(f"Affected: {impact['total_count']} test cases")

for tc in impact['affected_test_cases']:
    print(f"  - {tc['name']} (depth: {tc['depth']})")
    if tc['jira_tags']:
        print(f"    Jira: {', '.join(tc['jira_tags'])}")

Changed: api_0001
Affected: 14 test cases
  - Successful login (depth: 1)
    Jira: @AUTH-101
  - Get user profile (depth: 1)
    Jira: @USER-101
  ...

# Find reusable components across projects
common = tool.find_common_components(["project1", "project2"])

for comp in common['components']:
    print(f"{comp['component_type']}: {comp['identifier']}")
    print(f"  Used in {comp['usage_count']} projects")
    print(f"  Projects: {', '.join(comp['projects'])}")

# Run all tests
pytest tests/ -v

# Run specific test suite
pytest tests/unit/ -v
pytest tests/integration/ -v

# Run with coverage
pytest tests/ --cov=src/karate_graph_analyzer --cov-report=html

📊 Legend
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🟢 Test Case - Scenario hoặc test
🔵 Workflow - Reusable workflow
🟠 API - API endpoint
🟣 Page - Page object
🔴 Database - Database operation
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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from karate_graph_analyzer.models import ParserConfig

config = ParserConfig(
    jira_tag_patterns=[
        r'@[A-Z]+-\d+',      # @PROJ-123
        r'@[a-z]+-\d+',      # @proj-123
        r'@[A-Z]+_\d+',      # @PROJ_123
    ],
    workflow_directories=['workflows', 'common'],
    page_object_directories=['pages', 'page-objects'],
    variable_patterns=[r'\$\{(\w+)\}'],
    api_extraction_rules={
        'extract_from_variables': True,
        'extract_from_strings': True,
    }
)

# Use custom config
tool.register_project(
    name="my-project",
    root_path="/path/to/project",
    parser_config=config
)

# Clone your fork
git clone <your-fork-url>
cd karate-feature-graph-analyzer

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Run linter
flake8 src/

# Format code
black src/