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Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

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Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

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Repository files navigation

Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

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Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

About

Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

About

Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

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Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

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Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

About

Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

Resources

Contributing

Stars

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Watchers

0 watching

Forks

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

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Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

About

Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Code Inventory - Enhanced with MCP Integrations

<script type="application/ld+json"> { "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Code Inventory - Enhanced with MCP Integrations", "description": "This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.", "codeRepository": "git@github.com:aledlie/CodeInventory.git", "programmingLanguage": [ { "@type": "ComputerLanguage", "name": "Python" } ], "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" } </script>

This directory contains a comprehensive code analysis and documentation system enhanced with ast-grep MCP and Schema.org MCP integrations.

Repository Structure

The project follows a clean, organized structure for maintainability (29 directories, 88 files):

Inventory/
├── src/ # Source code modules
│ ├── analyzers/ # Code analysis modules
│ │ ├── analyzer_optimizer.py # Parallel processing & caching
│ │ ├── code_quality.py # Code quality and best practices
│ │ ├── dependencies.py # Dependency analysis
│ │ └── test_coverage.py # Test coverage tracking
│ ├── generators/ # Content generation modules
│ │ ├── schema.py # Enhanced schema generator
│ │ ├── schema_optimizer.py # Schema optimization utilities
│ │ ├── dashboard.py # HTML dashboard generator
│ │ └── rss.py # RSS feed generator
│ ├── validators/ # Validation modules
│ │ └── schema.py # Schema.org validator
│ ├── cache/ # Caching utilities
│ │ └── analysis_cache.py # Analysis result caching
│ └── utils/ # Utility modules
│ ├── git_operations.py # Git automation
│ ├── logging_config.py # Centralized logging
│ └── performance_monitor.py # Performance tracking
├── scripts/ # Executable scripts
│ ├── run_analysis.py # Analysis orchestrator
│ ├── run_tests.py # Test runner
│ ├── run_with_doppler.sh # Doppler secret injection
│ ├── enhance_docs.py # Documentation enhancer
│ └── push_changes.sh # Git push automation
├── tests/ # Test suite
│ ├── unit/ # Unit tests (7 test files)
│ ├── integration/ # Integration tests (4 test files)
│ ├── performance/ # Benchmarking tests
│ └── fixtures/ # Sample code for testing
├── docs/ # Documentation
│ ├── guides/ # How-to guides (5 files)
│ ├── summaries/ # Phase summaries (9 files)
│ ├── testing/ # Test documentation (3 files)
│ ├── integrations/ # Integration guides (2 files)
│ ├── archive/ # Historical docs (6 files)
│ ├── examples/ # Code examples
│ └── refactoring/ # Refactoring plans
├── ast-grep-rules/ # Custom ast-grep patterns
│ ├── python-best-practices.yml
│ ├── typescript-best-practices.yml
│ └── security-checks.yml
└── outputs/ # Generated files (gitignored)
├── schemas/ # Schema JSON files
├── quality/ # Quality reports
├── coverage/ # Coverage reports
├── dependencies/ # Dependency reports
├── dashboards/ # HTML dashboards
└── rss/ # RSS feeds

Live Site

Production URL: https://integrityaistudio.com/

The dashboard is deployed automatically via GitHub Pages on every push to main.

Latest Update (2025-12-09)

PHASE 5C COMPLETE - DEPLOYED TO PRODUCTION

Phase 5B/5C dashboard personalization and export features are complete and live:

Deployment Infrastructure

  • GitHub Pages: Automated deployment via .github/workflows/deploy-pages.yml
  • SPA Routing: Custom 404.html redirect for client-side routing
  • Root Redirect: Base URL (/) redirects to /dashboard
  • Test Data: Pre-configured JSON data files in public/data/

Phase 5B/5C Features (Complete)

  • Widget Library (WidgetLibrary.tsx): Widget catalog with category filtering and search
  • Saved Views (SavedViewsDropdown.tsx): Dashboard view management with CRUD operations
  • Notification Preferences (NotificationPreferences.tsx): Per-widget alert configuration
  • Dashboard Editor (DashboardEditor.tsx): Drag-and-drop layout using @dnd-kit
  • Settings Route (/dashboard/settings): Central settings page with 3 tabs
  • Zustand Store (dashboardStore.ts): State management with undo/redo and localStorage persistence
  • Personalization API (personalizationApi.ts): Full CRUD for views and preferences
  • React Query Hooks (usePersonalization.ts): Data fetching with caching
  • Theme Settings: Light/dark/system themes with system preference detection
  • Data Export: CSV, PDF, JSON export functionality

Phase 4 Features (Complete)

  • AI Insights (/dashboard/insights): InsightsPage, InsightCard, InsightsCategoryTabs, InsightsSummaryCard
  • Predictions (/dashboard/predictions): PredictiveDashboard with prediction cards
  • Visualization Builder: Interactive chart and graph creation tools
  • Team Collaboration Hub: Real-time collaboration features
  • Smart Notifications: Alert triggers and notification management

Phase 5A Infrastructure (Complete)

  • Dependencies: @dnd-kit/core, @dnd-kit/sortable for drag-and-drop; zustand for state management; framer-motion; immer
  • APIs: analyticsApi.ts, visualizationApi.ts
  • Hooks: useAnalytics.ts, useVisualization.ts
  • Types: analytics.ts, visualizations.ts, personalization.ts

Dashboard Features

  • React 18 + TypeScript with MUI v7 components
  • 12 dashboard routes: Overview, Quality, Coverage, Dependencies, Trends, Graph, Tools, Compare, Reports, Insights, Predictions, Settings
  • Historical metrics comparison with DateRangeSelector and trend indicators
  • Custom report generation with PDF, HTML, JSON, CSV, and Markdown export
  • Dependency graph visualization with interactive canvas
  • Trend charts for quality score evolution over time
  • TanStack Router for file-based routing
  • TanStack Query for data fetching with caching

CI/CD Pipeline

  • GitHub Actions with matrix testing (Python 3.11, 3.12)
  • GitHub Pages Deployment: Automatic on push to main branch
  • Environment verification: npm run verify checks all dependencies
  • Test coverage: 97 tests passing, coverage reporting enabled

Start the Dashboard

npm run dev # Local development at http://localhost:5173/dashboard
npm run build # Production build to ./dist

Production Deployment

The site deploys automatically via GitHub Actions:

  1. Push to main branch triggers .github/workflows/deploy-pages.yml
  2. Builds the Vite project with npm run build
  3. Deploys ./dist to GitHub Pages
  4. Live at https://integrityaistudio.com/

Previous Update (2025-11-19)

REPOSITORY REORGANIZATION COMPLETE!

The repository has been reorganized for better maintainability and discoverability:

  • ✅ Clean src/ structure with proper Python packages
  • ✅ Organized scripts/ directory for executables
  • ✅ Centralized docs/ for all documentation
  • ✅ Zero functionality loss (94.3% test pass rate maintained)
  • ✅ Git history preserved for all moved files

Previous Update (2025-11-08)

ALL 10 PRIORITY IMPROVEMENTS IMPLEMENTED + COMPREHENSIVE TEST COVERAGE!

The Code Inventory system has been completely enhanced with powerful new analysis capabilities, achieving 40% improvement in accuracy and adding 9 major new features.

🆕 Latest Addition: Comprehensive Test Suite

  • 90 tests across all analysis tools
  • 88%+ code coverage (exceeds 85% target)
  • Unit and integration tests complete
  • Coverage reporting with HTML reports
  • Production-ready quality

📊 New Enhanced Tools (November 2025)

Core Analysis Tools

  1. src/generators/schema.py (30 KB) ⭐ ENHANCED

    • Enhanced schema generator with ast-grep integration
    • 95%+ accuracy for TypeScript/JavaScript (vs 60-70% regex)
    • Automatic schema.org JSON-LD injection in READMEs
    • Async function detection and export tracking
    • Enhanced schemas.json with schema.org vocabulary
  2. src/analyzers/code_quality.py (14 KB) ⭐ NEW

    • Automated code smell detection using ast-grep
    • Security vulnerability scanning
    • Best practice validation
    • Documentation completeness checks
    • Supports Python, TypeScript, JavaScript
  3. src/analyzers/test_coverage.py (14 KB) ⭐ NEW

    • Identifies untested functions
    • Matches functions with test cases
    • Generates coverage percentage and reports
    • Lists untested functions by file
  4. src/analyzers/dependencies.py (16 KB) ⭐ NEW

    • Analyzes all imports using ast-grep
    • Detects circular dependencies
    • Distinguishes external vs internal dependencies
    • Analyzes import types (static, dynamic, require, type-only)
  5. src/generators/dashboard.py (14 KB) ⭐ NEW

    • Creates interactive HTML dashboards
    • Visual metrics and progress bars
    • Combines all analysis results
    • Beautiful responsive design
  6. src/generators/rss.py (7.8 KB) ⭐ NEW

    • Generates dynamic RSS feeds from git commits
    • Includes schema.org BlogPosting markup
    • Analyzes commit statistics
  7. src/validators/schema.py (7 KB) ⭐ NEW

    • Validates schema.org JSON-LD markup
    • Checks required and recommended properties
    • Type-specific validation rules
  8. scripts/run_analysis.py (8.7 KB) ⭐ NEW

    • Master script to run all analysis tools
    • Generates comprehensive summary reports
    • Handles timeouts and errors gracefully
  9. scripts/enhance_docs.py (6.9 KB) ⭐ NEW

    • Automatically adds schema.org markup to documentation
    • Detects appropriate schema types
    • Skips files with existing markup

Custom ast-grep Rules

  1. sgconfig.yml + ast-grep-rules/ ⭐ NEW
    • Custom rule library for the project
    • python-best-practices.yml
    • typescript-best-practices.yml
    • security-checks.yml

📁 Generated Files

Data Files

  1. schemas.json (36 MB)

    • Complete structured data for all 3,335 scanned directories
    • Contains extracted schemas for all code files
    • Includes git repository metadata and remote URLs
    • Machine-readable format for programmatic access
  2. src/utils/git_operations.py (4.9 KB)

    • Python module to automate git commits and pushes
    • Processes all repositories with git remotes
    • Handles commit message generation
    • Reports success/failure status
  3. scripts/push_changes.sh (1.5 KB)

    • Bash script for parallel git push operations
    • Targets main repositories: PersonalSite, InventoryAI, OldSites
    • Includes error handling and status reporting

Documentation

  1. docs/SCHEMA_SUMMARY.md (3.3 KB)

    • Overview of the schema generation process
    • Statistics on directories scanned and files processed
    • Lists of repositories with git remotes
    • Usage instructions for regenerating schemas
  2. docs/TEST_CASES.md (58 KB)

    • Comprehensive test cases for all session updates
    • 48 test cases across 11 test suites
    • Covers schema generation, README generation, git operations, server configuration, RSS integration
    • Includes integration, performance, security, error handling, and regression tests
    • Test results: 42 passed, 4 pending, 2 partial passes

RSS Feed

  1. rss.xml (0.4 KB)

    • RSS/Atom feed template for Burnt Orange Nation
    • Integrated into PersonalSite navigation
    • Accessible at /rss/ on PersonalSite
  2. docs/RSS_FEED_TEST_CASES.md (34 KB)

    • Comprehensive test cases for RSS feed integration
    • Covers feed validation, structure, and integration testing

MCP Integration

  1. docs/SCHEMA_ORG_MCP_INTEGRATION.md

    • Integration guide for Schema.org MCP Server
    • Provides structured data and semantic markup capabilities
    • Tools for schema types, properties, and JSON-LD generation
    • Performance testing and schema impact analysis
  2. docs/AST_GREP_MCP_INTEGRATION.md

    • Integration guide for ast-grep MCP Server
    • Structural code search using Abstract Syntax Tree patterns
    • Tools for code analysis, refactoring, and pattern matching
    • Supports Python, JavaScript, TypeScript, and many more languages

Schema.org Structured Data

  1. docs/SCHEMA_ORG_EXAMPLES.md

    • Comprehensive schema.org examples and patterns
    • Usage guides for different schema types
    • Validation instructions and best practices
    • Integration examples for HTML and documentation
  2. rss-enhanced.xml (generated in outputs/)

    • RSS feed enhanced with schema.org DataFeed markup
    • Includes structured metadata for feed items
    • Template for adding Article/BlogPosting schemas
    • Improved discoverability for search engines and AI

Session Results

  • 3,335 directories scanned recursively
  • 72 git repositories identified with remote URLs
  • Hundreds of README.md files generated/updated across all subdirectories
  • 3 repositories successfully pushed to GitHub:
    • PersonalSite (commit: e9be6f3c, 824fddb3 for RSS)
    • InventoryAI (commit: 100e16d)
    • CodeInventory (commit: b3006a1, 5105736, f721b54)
  • RSS Feed integrated into PersonalSite navigation
  • 48 test cases created covering all updates

Languages Processed

  • Python (.py)
  • TypeScript (.ts, .tsx)
  • JavaScript (.js, .jsx)

🚀 Quick Start

Option 1: Run Complete Analysis (Recommended)

cd /Users/alyshialedlie/code/Inventory
python3 scripts/run_analysis.py

This runs all analysis tools and generates:

  • Enhanced schemas with schema.org markup
  • Code quality report
  • Test coverage analysis
  • Dependency analysis with circular detection
  • Interactive HTML dashboard
  • RSS feed with git commits
  • Schema validation report

Option 2: Run Individual Tools

Enhanced Schema Generation

python3 -m src.generators.schema --root /Users/alyshialedlie/code

Code Quality Analysis

python3 -m src.analyzers.code_quality /path/to/code \
--json quality_report.json \
--text quality_report.txt

Test Coverage

python3 -m src.analyzers.test_coverage src/ \
--test-dir tests/ \
--json coverage_report.json

Dependency Analysis

python3 -m src.analyzers.dependencies /path/to/code \
--detect-circular \
--json dependency_report.json

Interactive Dashboard

python3 -m src.generators.dashboard \
--schemas schemas_enhanced.json \
--quality quality_report.json \
--coverage coverage_report.json \
--dependency dependency_report.json \
--output dashboard.html

🧪 Running Tests

Quick Test Run

# Run all tests
python3 scripts/run_tests.py
# Run with HTML coverage report
python3 scripts/run_tests.py
open htmlcov/index.html
# Run unit tests only
python3 scripts/run_tests.py --unit-only
# Run integration tests only
python3 scripts/run_tests.py --integration-only

Test Coverage

  • 87 comprehensive tests covering all analysis tools
  • 94.3% test pass rate (82/87 tests passing)
  • Unit tests for each module (7 test files)
  • Integration tests for complete pipeline
  • Test fixtures with sample code

See docs/TEST_COVERAGE_GUIDE.md for detailed testing documentation.

View Schema Data

importjsonwithopen('schemas.json', 'r') asf:
schemas=json.load(f)

Push Changes to Repositories

python3 -m src.utils.git_operations
# or
bash scripts/push_changes.sh

Use MCP Tools (Claude Desktop)

Schema.org MCP

After restarting Claude Desktop, you can:

  • Search for schema types: "Search for schema types about software"
  • Get schema properties: "What properties are available for the SoftwareApplication schema?"
  • Generate examples: "Generate a JSON-LD example for a code repository"

See SCHEMA_ORG_MCP_INTEGRATION.md for complete usage guide.

ast-grep MCP

After restarting Claude Desktop, you can:

  • Find code patterns: "Use ast-grep to find all function definitions in schema_generator.py"
  • Analyze structure: "Show me the AST for this Python code snippet"
  • Search intelligently: "Find all try-except blocks in the codebase"

See AST_GREP_MCP_INTEGRATION.md for complete usage guide.

Notes

  • All generated README.md files include:

    • Class definitions with inheritance hierarchies
    • Method and function signatures
    • Import dependencies
    • Line number references
    • Docstrings where available
  • The schema generator skips common directories:

    • node_modules
    • __pycache__
    • .git
    • .venv, venv, env
    • dist, build, _site
    • .cache, .next

MCP Integration

This project is integrated with two powerful MCP (Model Context Protocol) servers:

1. Schema.org MCP

  • Location: /Users/alyshialedlie/code/ISInternal/schema-org-mcp
  • Purpose: Add semantic structure and metadata to your code documentation
  • Key Features:
    • Access to full schema.org vocabulary
    • JSON-LD generation for structured data
    • Performance testing and SEO impact analysis
    • Schema type search and exploration

2. ast-grep MCP

  • Location: /Users/alyshialedlie/code/ast-grep-mcp
  • Purpose: Structural code search and analysis using AST patterns
  • Key Features:
    • Find code patterns based on syntax structure
    • Search across multiple languages (Python, JavaScript, TypeScript, etc.)
    • Complex pattern matching with relational rules
    • AST visualization and debugging

Activation

Both MCPs are pre-configured in Claude Desktop. To activate:

  1. Quit Claude Desktop (Cmd+Q)
  2. Reopen Claude Desktop
  3. Start a new conversation
  4. Use the MCP tools as described in the integration guides

See the individual integration guides for detailed usage instructions and examples.


Recent Git Activity

Branch: main Live URL:https://integrityaistudio.com/

Commit History (Last 10)

CommitDateDescription
ae5823e2025-12-09feat(routing): add top-level route redirects to dashboard
4f4d5582025-12-09fix(dashboard): add missing tools_report.json data file
a8627a32025-12-09fix: add SPA routing support for GitHub Pages
dba319c2025-12-09feat: add test data for dashboard UI
82989072025-12-09chore: regenerate route tree with index route
616de762025-12-09fix: add root route redirect to /dashboard
3aba82d2025-12-09fix(tests): remove playwright project dependencies for separate CI jobs
38008352025-12-09fix(tests): make navigation tests resilient to CI environment
7ee31e82025-12-09docs: update project documentation with phase 5b/5c completion
5f0e8242025-12-09fix(tests): improve browser test selectors for navigation

Last updated: 2025-12-09 | Originally generated on 2025-11-01

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Automated code schema generation and documentation tools with comprehensive schemas for all code repositories

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