chore(deps): bump actions/checkout from 4 to 6#14
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chore(deps): bump actions/checkout from 4 to 6#14dependabot[bot] wants to merge 387 commits intomainfrom
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…dling - Remove deprecated forecast endpoints from inventory.py - Update scripts to save forecast files to root and data/sample/forecasts/ - Remove forecast file volume mounts from docker-compose.rapids.yml - Remove root-level forecast JSON files (duplicates in data/sample/forecasts/) - Keep document_statuses.json in root (runtime data, already ignored)
…splay - Extract invoice fields from structured_data.extracted_fields instead of regex parsing - Add field name fallback logic to handle different naming conventions - Collect all models used across all processing stages - Display all models in Processing Information section - Store models_used and model_count in processing_metadata
- Handle extracted_fields structure where each field is an object with 'value' key
- Support both nested {field: {value: '...'}} and flat {field: '...'} structures
- Extract actual values from field objects for invoice details display
…lds is empty - Parse invoice fields from extracted_text using regex when LLM doesn't extract structured fields - Extract invoice_number, order_number, dates, service, rates, totals from text - Handle cases where LLM processing returns empty extracted_fields - Maintains backward compatibility with structured field extraction
…LLM extraction fails - Parse invoice fields from OCR text using regex when LLM returns empty extracted_fields - Extract invoice_number, order_number, dates, service, rates, totals from text - Pass ocr_text to _post_process_results for fallback parsing - Ensures invoice details are always extracted even if LLM doesn't return structured data
…cting document data - Store OCR text in LLM result for fallback parsing - Add fallback parsing in _get_extraction_data when LLM returns empty extracted_fields - Parse invoice fields from OCR text if LLM extraction fails - Ensures uploaded document data is always extracted, not mock data
…nt results - Clear documentResults state before fetching new results - Add loadingResults state to show loading indicator - Open dialog immediately but show loading state while fetching - Prevents showing stale/cached data from previous document - Ensures fresh data is always displayed for the selected document
- Add document_id verification before extracting data - Log error if document not found in status tracking - Ensures correct document data is returned, not cached/stale data
- Remove gpu_demo_results.json (demo output) - Remove mcp_gpu_integration_results.json (test output) - Remove pipeline_test_results/ directory (test outputs) - Remove document_statuses.json (runtime file, already in .gitignore) - Update .gitignore to prevent future test output files from being committed - Keep test_documents/ and forecasts/ directories (needed for tests and demos)
…d of mock - Calculate total_documents from actual document_statuses count - Calculate processed_today from documents uploaded today - Calculate average_quality from actual quality scores in processing results - Calculate auto_approved rate from documents with quality >= 4.0 - Calculate success_rate from completed vs failed documents - Generate daily_processing trends from actual upload dates - Generate quality_trends from last 5 documents with quality scores - Generate dynamic summary based on actual document status - Fallback to safe defaults if calculation fails
- Add multiple fallback methods to extract quality scores from validation results - Handle different validation result structures (dict, object, nested) - Try extraction_data as fallback if validation doesn't contain quality score - Add debug logging for quality score extraction failures - Fix issue where average quality was showing 0/5.0 despite completed documents
- Add logging to track document statuses and quality score extraction - Log when documents are completed but quality scores are missing - Log analytics calculation summary for debugging - Help diagnose why quality scores might not be found
- Fix elif after else syntax error - Properly handle COMPLETED, FAILED, and other statuses - Add logging for documents without processing_results
- Convert JudgeEvaluation dataclass to dict before storing - Handle dataclass objects in _serialize_processing_result - Add debug logging for quality score extraction - Fix issue where validation_result dataclass wasn't being serialized correctly - This should fix the 0/5.0 quality score issue in analytics
- Add real-time status updates during background processing after each stage - Remove time-based status simulation that caused race conditions - Add status verification to ensure processing_results exist before COMPLETED - Add proper error handling for each processing stage with status updates - Fix race condition where status shows COMPLETED but results aren't stored - Update status to PROCESSING at start of background task - Update progress and stage status after each completed stage - Add better error messages for different failure scenarios - Ensure status and results are always in sync This fixes inconsistent results where mock data was shown even when processing completed successfully.
- Immediately use mock implementation when no API key (no timeout wait) - Reduce API timeout from 60s to 10s for faster fallback - Add better error handling for timeout and network errors - Limit PDF processing to first 5 pages by default (configurable) - Limit PDF extraction to first 10 pages by default (configurable) - Reduce PDF rendering zoom from 2x to 1.5x for faster processing - Add detailed logging for debugging preprocessing issues - Ensure fast fallback to mock when API calls fail This fixes the issue where preprocessing was hanging indefinitely.
- Add detailed error messages with exception type and message - Update document status with proper error messages on failure - Mark all stages as failed when processing fails - Improve error logging with full exception traceback - Ensure error messages are properly stored and displayed This helps diagnose why preprocessing is failing.
- Check if PyMuPDF is available before using it - Provide clear error message if PyMuPDF is missing - Prevent ImportError from causing silent failures - Add warning log if PyMuPDF is not available
…lity - Convert ProcessingStage enum to string in status endpoint - Convert enum to string in _get_processing_status method - Update frontend to properly handle status updates - Add status field update in frontend document monitoring - Add debug logging for status updates - Ensure progress and status are properly displayed in UI This fixes the issue where progress was stuck at 0% and status wasn't updating in the UI.
- Change status field from ProcessingStage enum to str for frontend compatibility - Add error_message field to DocumentProcessingResponse - Ensure status enum values are properly converted to strings - Fix Pydantic validation error when returning status This fixes the validation error preventing status updates from being returned to the frontend.
- Replace ProcessingStage.PROCESSING with ProcessingStage.PREPROCESSING - Update processing_stages list to include all active processing stages - Fix AttributeError: PROCESSING that was causing immediate failures - Use ROUTING instead of PROCESSING for finalizing state This fixes the AttributeError that was preventing background processing from starting.
- Fix state update timing issue when moving documents to completed - Preserve all document fields (filename, stages) when moving to completed - Use setTimeout to avoid state update during render - Ensure document ID and filename are preserved in completed documents - Fix filter to properly remove null values from processing list This fixes the issue where completed documents tab didn't show the view results link.
…eferences - Fix outdated script paths in root DEPLOYMENT.md - Remove references to non-existent files (RUN_LOCAL.sh, chain_server/cli/migrate.py) - Update frontend path from ui/web to src/ui/web - Add cross-references between root DEPLOYMENT.md and docs/deployment/README.md - Keep comprehensive production deployment sections - Create deployment analysis document - Ensure both files are complementary (quick start vs comprehensive guide) Root DEPLOYMENT.md: Comprehensive guide for all environments docs/deployment/README.md: Quick start for local development (100% accurate)
- 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
- cuDF doesn't support .apply() with arbitrary Python functions - Convert to pandas for trend calculation, then back to cuDF - Fix index alignment when converting Series back to cuDF - Resolves 'Cannot convert a date of object type' and apply() errors
- CUDA_AVAILABLE was only defined when RAPIDS not available - Initialize at module level to ensure it's always defined - Set CUDA_AVAILABLE=True when RAPIDS is available - Resolves 'name CUDA_AVAILABLE is not defined' error
- xgboost was only imported when RAPIDS not available - XGBoost is needed regardless of RAPIDS availability - Move sklearn imports outside conditional block - Resolves 'name xgb is not defined' error
- Fix indentation error at line 51 - Move CUDA checking code outside of conditional block - Ensure proper code structure and indentation
- sklearn GradientBoostingRegressor and Ridge don't support cuDF arrays - Convert cuDF arrays to NumPy using .get() or .to_numpy() before sklearn models - Keep cuDF arrays for cuML models (RandomForest, LinearRegression, SVR) - Resolves 'Implicit conversion to a NumPy array is not allowed' error
- Ridge Regression also needs NumPy arrays when using sklearn - Update Ridge Regression to use NumPy arrays (_np versions)
- Add prominent GPU acceleration section in README.md - Add comprehensive RAPIDS installation guide in DEPLOYMENT.md - Include GPU prerequisites and troubleshooting - Highlight 10-100x performance improvements - Add installation steps to Quick Start guides - Document automatic GPU detection and fallback behavior
- Add GPU acceleration prerequisites section - Document hardware and software requirements - Note that GPU is optional with automatic fallback
- Add Step 10 for optional RAPIDS installation - Include GPU detection and verification - Make it clear that RAPIDS is optional with CPU fallback - Add installation script with error handling - Update step numbering for subsequent steps - Highlight 10-100x performance benefits - Perfect for third-party developers to enable GPU acceleration seamlessly
- Fix duplicate Step 10 (RAPIDS is Step 10, Backend is Step 11) - Fix duplicate Step 12 (Frontend is Step 12, Verification is Step 13) - Update Troubleshooting to Step 14 - Add RAPIDS installation to summary
- Fix Step 12: Verification -> Step 13 - Fix Step 13: Troubleshooting -> Step 14 - All step numbers now correctly sequential
- Fix path detection when notebook is opened from notebooks/setup/ - Automatically change working directory to project root - Ensures .env.example and other root files are found correctly - Works whether notebook is opened from project root or notebooks/setup/ - Fixes issue where Step 6 couldn't find .env.example
- Add find_project_root() function that handles multiple scenarios - Automatically changes to project root when detected - Works whether notebook is opened from project root or notebooks/setup/ - Ensures all subsequent file operations use correct paths - Fixes issue where .env.example couldn't be found in Step 6
- Update Step 4 to explain difference between NVIDIA and Brev API keys - Add configuration options (Option 1: NVIDIA for all, Option 2: Brev + NVIDIA) - Update setup function to handle both API keys correctly - Validate key formats (nvapi- vs brev_api_) - Require EMBEDDING_API_KEY when using Brev API key for LLM - Update environment variable display to show both keys - Clarify that Embedding service always requires NVIDIA API key
- Update table of contents to show 'API Key Configuration (NVIDIA & Brev)' - Update Step 4 markdown header - Update overview section
- Remove note that says same API key works for all endpoints - This is no longer accurate when using Brev API keys
- Update required section check from 'NVIDIA API Key' to 'API Key' - Matches new section name 'API Key Configuration (NVIDIA & Brev)' - Add optional sections check for RAPIDS and Brev - Test now correctly validates updated notebook structure
- Add NIM deployment options section (Cloud vs Self-Hosted) - Explain benefits of self-hosting (data privacy, cost control, custom requirements) - Add self-hosting example with Docker command - Allow users to skip API key setup if using self-hosted NIMs - Reference DEPLOYMENT.md for detailed self-hosting instructions - Make it clear that developers can install NIMs on their own instance
- Add NIM deployment options section in markdown - Explain cloud vs self-hosted options - Include self-hosting Docker example - Reference DEPLOYMENT.md for detailed instructions - Make it clear developers can install NIMs on their own instance
- Fix line breaks and formatting in Step 4 markdown cell - Ensure proper newline handling in notebook JSON structure - Improve markdown cell structure for better rendering
- Remove optional packages (cusignal, cugraph, cuspatial, etc.) from install - Only install cudf and cuml which are required for forecasting - Fix issue where cusignal-cu12 is not available - Use RAPIDS_CUDA variable instead of hardcoded cu12 - Make other packages optional with commented instructions - Resolves installation failure on systems with CUDA 13.0 driver
- Change Option A to Docker Compose (recommended, no psql client needed) - Change Option B to psql direct (alternative, requires PostgreSQL client) - Update notebook to try docker-compose exec first, then docker exec, then psql - Improve error messages to guide users to Docker Compose method - Aligns with QA feedback that Docker Compose is better for consistency
- Update run_migration function to try docker-compose exec first - Fallback order: docker-compose -> docker exec -> psql - Improve error messages to guide users to Docker Compose method - Aligns with documentation changes making Docker Compose recommended
- Specify NVIDIA API Key: Get from https://build.nvidia.com/ - Specify Brev API Key: Get from https://brev.nvidia.com/ (Brev account) - Update all references to be explicit about account sources - Separate and clearly distinguish the two API key types - Improve clarity for third-party developers
- Fix duplicated URL in Brev API Key 'Get from' field - Ensure clean separation between NVIDIA and Brev API key sources
- 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
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](actions/checkout@v4...v6) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com>
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Bumps actions/checkout from 4 to 6.
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Commits
1af3b93update readme/changelog for v6 (#2311)71cf226v6-beta (#2298)069c695Persist creds to a separate file (#2286)ff7abcdUpdate README to include Node.js 24 support details and requirements (#2248)08c6903Prepare v5.0.0 release (#2238)9f26565Update actions checkout to use node 24 (#2226)You can trigger a rebase of this PR by commenting
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