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feat: add PR decoration workflow for automated quality reports#18

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feat: add PR decoration workflow for automated quality reports#18
richa-nvidia wants to merge 410 commits intomainfrom
feature/add-pr-decoration

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Add comprehensive PR decoration workflow that automatically comments on pull requests with:

  • Test results and coverage (Python + Frontend)
  • Security vulnerability scan (Trivy)
  • Code quality metrics (Black, Flake8, MyPy)
  • Automatic size labeling (XS, S, M, L, XL, XXL)
  • Auto-updating comments on each push

🤖 Generated with Claude Code

Description

Brief description of the changes in this PR.

Type of Change

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • Documentation update
  • Performance improvement
  • Code refactoring

Related Issues

Fixes #(issue number)

Changes Made

  • Change 1
  • Change 2
  • Change 3

Testing

  • Unit tests pass
  • Integration tests pass
  • Manual testing completed
  • Docker build successful
  • Helm chart validation passed

Screenshots (if applicable)

Add screenshots to help explain your changes.

Checklist

  • My code follows the project's style guidelines
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas
  • I have made corresponding changes to the documentation
  • My changes generate no new warnings
  • I have added tests that prove my fix is effective or that my feature works
  • New and existing unit tests pass locally with my changes
  • Any dependent changes have been merged and published

Deployment Notes

Any special deployment considerations or environment variable changes.

Breaking Changes

If this is a breaking change, describe the impact and migration path.

- Fix script paths: ./scripts/dev_up.sh → ./scripts/setup/dev_up.sh
- Fix script paths: ./RUN_LOCAL.sh → ./scripts/start_server.sh
- Fix frontend path: ui/web → src/ui/web
- Remove references to non-existent files (chain_server/cli/migrate.py, scripts/simple_migrate.py)
- Add correct migration commands using psql directly
- Add cross-references between quick start and comprehensive guides
- Update repository URLs to Multi-Agent-Intelligent-Warehouse

Root DEPLOYMENT.md: Quick start (236 lines) - 100% accurate
docs/deployment/README.md: Comprehensive guide (698 lines) - now 100% accurate
- Update repository URLs: warehouse-operational-assistant → Multi-Agent-Intelligent-Warehouse
- Fix path references: chain_server/ → src/api/
- Fix path references: ui/web → src/ui/web
- Fix port references: localhost:8002 → localhost:8001
- Update MCP integration documentation with correct paths
- Update API documentation with correct base URL
- Update development guide with correct file paths
- Update forecasting documentation with correct paths
- Update MCP deployment guide with correct repository URL
- Update all import statements in code examples

All documentation files in docs/ are now 100% accurate and up to date.
- Fix remaining chain_server import statements in mcp-api-reference.md
- Fix migration import in database-migrations.md
- All documentation files now have correct paths and references
- Document all files verified and updated
- List all fixes applied
- Confirm 100% accuracy status
- Provide verification summary
- Fix remaining chain_server imports in mcp-migration-guide.md
- Fix remaining chain_server imports in mcp-integration.md
- All code examples now use correct src.api paths
- Documentation verification complete
- Remove docs/mcp-testing-enhancements.md (UI enhancement doc, not test suite)
- Create comprehensive tests/MCP_TESTING_GUIDE.md with test documentation
- Fix outdated import in test_mcp_system.py (chain_server → src.api)
- Document all MCP test components and how to run them
- Include MCP Testing UI information
- Add troubleshooting and best practices sections

The new MCP_TESTING_GUIDE.md provides complete documentation for:
- Unit tests (test_mcp_system.py)
- Integration tests (tests/integration/test_mcp_*.py)
- Performance tests (tests/performance/test_mcp_performance.py)
- MCP Testing UI usage
- Test coverage and CI/CD integration
- Update to reflect all 5 agents (Equipment, Operations, Safety, Forecasting, Document)
- Add NeMo Guardrails to architecture components
- Add Demand Forecasting system details
- Update tool counts (34+ tools across all agents)
- Update quick start commands (use scripts/start_server.sh)
- Add Forecasting and Document endpoints to API reference
- Update agent descriptions with latest capabilities
- Fix GitHub repository URL
- Update footer with NeMo Guardrails mention
- Update development opportunities section

The documentation page now accurately reflects:
- All 5 specialized agents and their capabilities
- Document processing pipeline (6-stage NeMo)
- Demand forecasting system (6 ML models)
- NeMo Guardrails integration
- All 34+ action tools
- Latest API endpoints
- Current system status and features
- Add dedicated NeMo Guardrails accordion section
- Document content safety, security, compliance, and policy management
- Include implementation details and configuration information
- Add protection categories with detailed descriptions
- Complete documentation now covers all 5 agents and all major features
- Update forecasting file paths (chain_server → src/api)
- Update frontend paths (ui/web → src/ui/web)
- Update script paths to correct locations
- All file references now accurate
Backend:
- Update MCP router to include Forecasting and Document agents
- Register Forecasting MCP adapter in tool discovery
- Include tool parameters in tool discovery response
- Enhance /api/v1/mcp/agents endpoint to show all 5 agents

Frontend:
- Add Agent Status section showing all 5 agents
- Add tool parameter input dialog for tools with parameters
- Display tool parameter schema in tool details
- Add Forecasting and Document workflow test examples
- Enhance execution history with detailed result viewing
- Improve tool details display with category and parameters

New Features:
- Agent status cards with operational status and tool counts
- Parameter input dialog for tools requiring parameters
- Execution history details dialog with full result viewing
- Additional workflow examples for all agent types
Removed Duplicate/Outdated Files:
- RUN_LOCAL.sh (superseded by scripts/start_server.sh)
- scripts/phase1_phase2_forecasts.json (generated file)
- scripts/phase3_advanced_forecasts.json (generated file)
- scripts/setup/fix_admin_password.py (outdated, uses passlib)
- scripts/setup/update_admin_password.py (outdated, uses passlib)
- scripts/tools/migrate.py (duplicate of src/api/cli/migrate.py)
- scripts/tools/simple_migrate.py (not referenced, use src/api/cli/migrate.py)

Reorganized:
- Moved scripts/create_model_tracking_tables.sql to scripts/setup/
- Updated test_rapids_forecasting.py to use rapids_gpu_forecasting.py

Note: rapids_forecasting_agent.py kept as it's referenced in docs and Dockerfile.
Will be deprecated in favor of rapids_gpu_forecasting.py in future update.
- Fix test_rapids_forecasting.py to use correct API from rapids_gpu_forecasting.py
- Update SCRIPTS_FOLDER_ANALYSIS.md to reflect completed cleanup
- Update reference to create_model_tracking_tables.sql path in test doc
- Note that rapids_forecasting_agent.py is kept due to Dockerfile/docs references
- Update docs/forecasting/README.md to reference rapids_gpu_forecasting.py
- Update docs/forecasting/RAPIDS_IMPLEMENTATION_PLAN.md
- Update Dockerfile.rapids to copy correct file
- Update test documentation references
- All references now point to the current implementation
- Document all files removed, moved, and updated
- Provide current folder structure
- Include verification checklist
- Add future recommendations
- Summary statistics of cleanup actions
- Fix all markdown rendering issues (missing newlines between sections)
- Expand from data-only to comprehensive scripts directory overview
- Add sections for all script categories (data, forecasting, setup, testing, tools)
- Update script paths to reflect actual locations (scripts/data/, etc.)
- Add proper structure with clear sections and subsections
- Include usage examples for all major scripts
- Add prerequisites, dependencies, and troubleshooting sections
- Fix formatting issues that prevented proper GitHub rendering
- Remove scripts/CLEANUP_SUMMARY.md (cleanup complete)
- Remove scripts/SCRIPTS_FOLDER_ANALYSIS.md (cleanup complete)
- Cleanup documentation no longer needed as main README.md is updated
- Remove docs/DOCUMENTATION_VERIFICATION_REPORT.md
- Verification complete, report no longer needed
- Add note about updating to NVIDIA blueprint style
- Add urgent findings: 7.8MB document_statuses.json in root
- Add test assessment reports section (15 files)
- Add documentation files in docs/ section
- Update statistics: 50+ unnecessary files identified
- Add prioritized action list (Priority 1-3)
- Mark completed items (equipment_old.py, all_skus.txt, etc.)
- Update file status (EXISTS/NOT FOUND) for accurate tracking
- Remove UNNECESSARY_FILES.md from git tracking
- Add to .gitignore as internal analysis file
- File will remain locally but not be tracked in repository
…ement

- Add detailed implementation plan for integrating reasoning into all agents
- Include UI toggle (ON/OFF) for reasoning control
- Provide task breakdown with time estimates (40-55 hours total)
- Document technical considerations and success criteria
- Reference existing Safety Agent implementation as template
- Include future enhancement ideas
- Add enable_reasoning and reasoning_types parameters to ChatRequest
- Add reasoning_chain and reasoning_steps to ChatResponse
- Update MCP Planner Graph to pass reasoning context to all agents
- Integrate reasoning engine into Equipment, Operations, Forecasting, Document, and Safety agents
- Add query complexity detection and reasoning type selection per agent
- Update all agent response models to include reasoning chain
- Add comprehensive test suite for reasoning integration
- Add reasoning integration summary documentation

Phase 1: Backend integration complete
- Align backend and graph timeouts for reasoning queries (115s non-complex, 230s complex)
- Skip enhancements when reasoning is enabled to improve response time
- Include reasoning chain and steps in response with proper circular reference handling
- Add immediate request logging for better debugging
- Update UI components with light theme styling
- Add reasoning chain visualization component
- Add reasoning evaluation test suite and documentation
- Allow nested dictionaries and lists in structured_data while preventing circular references
- Add recursive cleaning function with depth limit and visited object tracking
- Add detailed logging for structured_response data extraction
- Fix empty structured_data issue for operations queries with nested data structures
- Add Functional.md with 78 functional requirements organized by page
- Add Functional_Requirements_Status.md with implementation status assessment (74% operational)
- Integrate USE_CASES.md content into PRD.md (Section 7)
- Update REASONING_ENGINE_OVERVIEW.md to reflect full integration across all agents
- Add USE_CASES_OPERATIONAL_STATUS.md for detailed operational analysis
- Update forecast sample data files
…tatus

- Remove redundant/outdated architecture documentation files
- Update Functional_Requirements_Status.md with positive language
- Remove negative statements and comparisons
- Delete completed TODO documents and redundant summaries
- Update ADR-001, ADR-002, and ADR-003 dates from 2024-01-01 to 2025-09-12
- Dates now reflect actual file creation dates from git history
… README

- Remove Rationale section from ADR-002
- Add comprehensive acronyms and abbreviations table to README.md
- Include important terms: RAG, MCP, NIMs, LLM, GPU, cuVS, cuML, RAPIDS, RBAC, JWT, OCR
- Enforce JWT_SECRET_KEY in production (fails to start if not set)
- Allow development default with warnings for local development
- Remove debug endpoint and password logging
- Add security notes to README, DEPLOYMENT, QUICK_START, and docs/secrets.md
- Create comprehensive SECURITY_REVIEW.md document
- Update CORS configuration to be environment-based
- Remove information disclosure in error messages
T-DevH and others added 26 commits December 12, 2025 10:54
- Add reusable get_project_root() helper function that works from any directory
- Update all file path operations to use project_root instead of relative paths
- Fix .env.example, docker-compose.dev.yaml, and SQL migration file paths
- Ensure all functions (setup_api_keys, check_env_file, run_migration, etc.)
  detect project root correctly regardless of notebook location
- Addresses QA feedback about paths failing when notebook opened from
  notebooks/setup/ directory
- Regenerate SOFTWARE_INVENTORY.md with latest package information
- Add security scan response documents for PyJWT (CVE-2025-45768) and aiohttp (CVE-2024-52304)
- Update software inventory to include all packages from requirements files
- Document false positive status for disputed/mitigated vulnerabilities
- Add React and all frontend dependencies from src/ui/web/package.json
- Update generation script to parse frontend package.json
- Include both dependencies and devDependencies from frontend
- Add support for parsing pyproject.toml (with fallback if tomllib unavailable)
- Regenerate inventory with 77 total packages (34 Python, 41 Node.js)
- All runtime dependencies now captured in inventory
- Add Download Location column to both Python and Node.js package tables
- Shows PyPI URL for Python packages (https://pypi.org/project/{package}/)
- Shows npm URL for Node.js packages (https://www.npmjs.com/package/{package})
- Helps identify where each package/component was downloaded from
- Regenerate inventory with new column
- Remove 2 empty markdown cells that were causing formatting issues
- Notebook now has 31 cells (down from 33)
- Fixes rendering problems in Jupyter notebook viewer
- JSON structure validated and correct
- Fix Step 4 markdown cell that was missing line breaks
- Content was all concatenated on one line
- Now properly formatted with 61 lines and proper paragraph breaks
- Improves readability in Jupyter notebook viewer
- Update warehouse assistant architecture diagram
- Enforce strong algorithms: hardcode HS256, explicitly reject 'none' algorithm
- Prevent algorithm confusion: validate token header algorithm before decoding
- Add comprehensive claim validation: require exp and iat claims
- Always include iat (issued at) claim in token creation
- Update security documentation with detailed mitigation strategies
- Address CVE-2025-45768 (PyJWT weak encryption) with application-level controls
- Add .nspect-allowlist.toml with proper format for directory exclusions
- Fix forecasting SQL query to use parameterized INTERVAL
- Update default lookback_days from 365 to 180 to match data generation
- Add npm overrides for nth-check and css-what security fixes
- Add React Server Components security response documentation
- Fix concatenated imports in Cells 4, 9, 11, 13 (Steps 2, 4, 5, 6)
- Fix unmatched parenthesis in Cell 17 (Step 8)
- Properly format all function bodies with correct line breaks
- All cells now have valid Python syntax
- Fix Docker Compose check to use proper argument list ['docker', 'compose', 'version']
- Previously used 'compose version' as single string argument which failed
- Now correctly detects both docker-compose (standalone) and docker compose (CLI plugin)
- Addresses QA feedback on Step 1 prerequisites check
- Upgrade React and React DOM to 19.2.3 (latest stable with security patches)
- Update TypeScript types (@types/react, @types/react-dom) to v19
- Update @testing-library/react to v16.0.0 for React 19 compatibility
- Add @testing-library/dom and identity-obj-proxy for test support
- Fix fast-equals path mismatch with postinstall symlink script
- Update craco.config.js to exclude @mui from source-map-loader
- Add setupTests.ts with TextEncoder polyfill for Jest
- Update Jest configuration for CSS mocking and ESM support
- Update security documentation to reflect React 19.2.3 usage
- Update README.md with React 19.2.3 in technology stack
- All builds and type checks passing successfully
…dependencies

- Updated React from 18.2.0 to 19.2.3
- Updated React DOM from 18.2.0 to 19.2.3
- Updated @types/react from 18.3.27 to 19.0.0
- Updated @types/react-dom from 18.3.7 to 19.0.0
- Updated @testing-library/react from 13.3.0 to 16.0.0
- Added @testing-library/dom (new dependency)
- Added fast-equals (new dependency)
- Added identity-obj-proxy (new dev dependency)
- Updated MUI packages to 5.18.0
- Fixed @mui/x-data-grid compatibility (v7.29.12 with React 19 override)
- Migrated react-query to @tanstack/react-query v5.90.12
- Updated all useQuery/useMutation calls to TanStack Query v5 API
- Fixed DataGrid props (pageSize -> initialState.pagination)
- Added npm overrides for react-copy-to-clipboard and @mui/x-data-grid
- Created .npmrc with legacy-peer-deps=true
- Fixed TypeScript errors in Forecasting.tsx
- Changed mutation isLoading to isPending (TanStack Query v5)
- Fixed all build errors and TypeScript compilation issues
- Ran database migrations (all schema files)
- Generated demo data (users, inventory, tasks, safety, telemetry)
- Generated historical demand data (7,682 movements)
- All endpoints now returning data successfully
…notebook

- Fix duplicate Step 11: rename second occurrence to Step 12 (Start Frontend)
- Add missing # start_backend() commented line in Step 11 cell
- Ensures users can uncomment and run backend server in notebook as instructed
- Fix dev_up.sh to load .env variables with set -a flag before Docker Compose
  - Prevents TimescaleDB setup from hanging due to missing environment variables
  - Adds proper .env file loading with auto-export functionality
  - Includes warning message when .env file is not found

- Update complete_setup_guide.ipynb:
  - Step 6: Add note about .env file requirement for infrastructure services
  - Step 12: Add note about MUI DataGrid v7 dependency and React 19 compatibility
  - Fix duplicate Step 11 numbering (renamed to Step 12)
  - Add missing # start_backend() commented line in Step 11 cell

These changes address issues reported during notebook testing where:
- Infrastructure services failed due to unloaded .env variables
- Frontend dependencies had conflicts (already resolved in codebase)
…ep 3

- Fix bug where dependencies were skipped when user follows best practice
  (creates venv manually before starting Jupyter)
- When skip_setup=True, now checks and installs dependencies from requirements.txt
- Checks for key packages (fastapi, langchain) to determine if install needed
- Prompts user to install/update dependencies even when venv exists
- Prevents missing dependencies when using existing virtual environment

Fixes issue reported by QA where following 'best practice' workflow
would result in dependencies not being installed.
- Add npm override to force glob@^10.3.10 (removes inflight dependency)
- inflight@1.0.6 had memory leak DoS vulnerability (BDSA)
- Newer glob versions (10.x+) do not use inflight
- Verified: npm list inflight returns empty, npm audit shows 0 vulnerabilities
- Updated VULNERABILITY_MITIGATIONS.md to reflect fix status

This resolves the security scan issue where inflight was flagged as
vulnerable due to memory leak in makeres function causing DoS conditions.
- Replace all 'docker-compose' commands with 'docker compose' (modern V2 format)
- Update README.md and DEPLOYMENT.md to use docker compose command
- Delete empty docker-compose-nim-local.yaml file (unused)
- Keep filenames unchanged (docker-compose.dev.yaml, etc.)

This aligns documentation with Docker Compose V2 plugin format while
maintaining backward compatibility in scripts that handle both formats.
- Update scripts to use 'docker compose' instead of 'docker-compose'
- Make setup_monitoring.sh handle both formats (V2 plugin and V1 standalone)
- Update error messages and UI text in DeploymentGuide.tsx
- All scripts tested and validated for syntax correctness
- Maintains backward compatibility via format detection in setup_monitoring.sh

Files updated:
- scripts/setup/setup_monitoring.sh (handles both formats)
- scripts/setup/install_rapids.sh
- scripts/setup/setup_rapids_gpu.sh
- scripts/data/run_quick_demo.sh
- scripts/data/run_data_generation.sh
- src/ui/web/src/pages/DeploymentGuide.tsx

This aligns application code with documentation updates and modern
Docker Compose V2 plugin format while maintaining compatibility.
- Update run_sql_file() to check for 'docker compose' (V2) first, then 'docker-compose' (V1)
- Make error message dynamically show the correct command format
- Matches the pattern used in start_infrastructure() and dev_up.sh
- Maintains backward compatibility with docker-compose standalone

This ensures consistency across all notebook functions and aligns with
the modern Docker Compose V2 plugin format while supporting older systems.
- Remove unnecessary kernel restart messages from Step 3
- Add interactive prompts for all NVIDIA service API keys
- Add Brev model name prompt for Option 2 (LLM_MODEL)
- Update service keys: RAIL, NEMO_RETRIEVER, NEMO_OCR, NEMO_PARSE,
  LLAMA_NANO_VL, LLAMA_70B_API_KEY
- Allow users to skip keys (use NVIDIA_API_KEY as fallback)
- Add clear descriptions for each service key
- Ensure LLM_MODEL is set in .env for Brev deployments
- Compatible with nim_client.py environment variable reading
- Fix Decimal128Column error in RAPIDS GPU forecasting
- PostgreSQL NUMERIC/DECIMAL types come as Decimal objects from asyncpg
- cuDF doesn't support Decimal128Column for indexing operations
- Convert Decimal columns to float64 before cuDF conversion
- Fixes feature engineering operations (.shift(), .rolling())
- Ensures consistent behavior across environments
- Resolves 0/38 SKUs processed issue in notebook environment
- Fix SyntaxError: invalid syntax in cell 9 (line 172)
- Remove orphaned else statement that didn't match any if
- Move brev_model = None assignment to if choice == "1" block
- Resolves syntax error preventing notebook execution
- All 16 code cells now pass syntax validation
Add comprehensive PR decoration workflow that automatically comments on pull requests with:
- Test results and coverage (Python + Frontend)
- Security vulnerability scan (Trivy)
- Code quality metrics (Black, Flake8, MyPy)
- Automatic size labeling (XS, S, M, L, XL, XXL)
- Auto-updating comments on each push

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
@github-actions github-actions bot added the size/L PR with L size changes label Dec 17, 2025
@bp-sre-sonarqube
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Quality Gate passed Quality Gate passed

Issues
0 New issues
0 Fixed issues
0 Accepted issues

Measures
0 Security Hotspots
No data about Coverage
No data about Duplication

See analysis details on SonarQube

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📊 PR Quality Report

🧪 Test Results

Python Tests: 0/0 passed
Python Coverage: 0%

🔒 Security Scan (Trivy)

Vulnerabilities Found:

  • 🔴 Critical: 0
  • 🟠 High: 0
  • 🟡 Medium: 0
  • 🟢 Low: 0

📝 Code Quality

⚠️ Linting Results:

  • Black (formatting): 135 files need formatting
  • Flake8 (critical): 15 critical issues
  • Flake8 (total): 8314 total issues
  • MyPy (type errors): 1 type errors

📋 Recommendations

  • 📈 Consider adding more tests to improve coverage

  • 🎨 Run black src/ to format code

  • 🔍 Fix critical flake8 issues

  • 📝 Review type hints and fix mypy errors


💡 Tip: Click "Details" next to each check for more information

🤖 This comment is automatically updated on each push

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