Status: COMPLETED ✅
Goal: Automatically detect fragmented address/name/phone columns and suggest intelligent combinations before normalization
- Create ColumnCombinationDetector.ts utility
- Implement address component detection (house, street, apt, city, state, zip)
- Implement name component detection (first, middle, last, prefix, suffix)
- Implement phone component detection (area code, number, extension)
- Generate combination suggestions with confidence scores
- Create preview generator for combined output
- Create SmartSuggestions.tsx component
- Build suggestion card with preview
- Add Accept/Customize/Ignore buttons
- Create combination formula display
- Add visual indicators (icons, badges, preview samples)
- Integrate into IntelligentNormalization.tsx upload flow
- Apply combinations before normalization
- Update column mappings with combined columns
- Update CSV output to include combined columns
- Add SmartSuggestions component to UI
- Test with user's address data (House + StreetNameComplete + Apt)
- Test with split names (First + Last)
- Test with split phones (Area Code + Number)
- Update VERSION_HISTORY.md
- Update CHANGELOG.md
- Update version to 3.50.0
- All 22/22 tests passing
Status: COMPLETED ✅
CRITICAL ISSUE: App breaks when processing 400k row files
- Progress hits 50%, slows down significantly
- After reaching 100%, no download button appears
- App becomes unresponsive
Root Cause Analysis:
- Investigate client-side memory usage with 400k rows
- Identify bottleneck in ChunkedNormalizer/Web Worker pipeline
- Analyze CSV download generation (Papa.unparse memory usage)
- Review why Batch Jobs server-side processing was disabled (v3.40.3)
Solution Design:
- Design server-side streaming architecture for large files
- Determine file size threshold (client vs server processing)
- Plan progress tracking for server-side jobs
- Design download mechanism for completed jobs
Implementation:
- Implement streaming CSV parser (avoid loading all rows in memory)
- Implement streaming CSV writer (avoid Papa.unparse for large files)
- Add automatic routing: <50k rows → in-memory, >=50k rows → streaming
- Re-enable and fix server-side job processor
- Add job status polling and download UI (client-side)
Testing:
- Test with 400k row dataset end-to-end
- Verify memory usage stays under 500MB (Heap: 265MB, RSS: 520MB)
- Verify download works correctly (22.89 MB output uploaded to S3)
- Test with 400k rows (582 rows/sec, 687s total)
- Test with client UI (Batch Jobs page)
Documentation:
- Update README with file size limits
- Document architecture decision
- Add troubleshooting guide for large files
- Create VERSION_HISTORY_v3.49.0.md with full details
Status: COMPLETED ✅
User Requirements:
- Remove HTTP/HTTPS protocols
- Remove www. prefix
- Extract only root domain + extension (e.g., google.com)
- Remove all paths, query parameters, fragments
- Examples:
- http://www.google.com → google.com
- https://www.example.com/page → example.com
- www.facebook.com/profile → facebook.com
Implementation Tasks:
- Create URLNormalizer utility class
- Implement protocol removal (http://, https://)
- Implement www. prefix removal
- Implement path/query/fragment removal
- Handle edge cases (subdomains, international domains, etc.)
- Add 'url' column type to schema analyzer
- Integrate into UnifiedNormalizationEngine
- Add URL detection patterns
- Create comprehensive test suite (20+ test cases)
- Test with real-world URLs
- Update documentation
Test Cases to Cover:
- Basic URLs (http://www.google.com)
- HTTPS URLs (https://example.com/path)
- URLs with paths (site.com/page/subpage)
- URLs with query parameters (site.com?query=value)
- URLs with fragments (site.com#section)
- URLs with subdomains (subdomain.site.com)
- International domains (.co.uk, .com.au)
- URLs without protocol (www.site.com)
- Already clean URLs (site.com)
- Invalid/malformed URLs
Test Results: ✅ 40/40 tests passing ✅ All URL normalization patterns working correctly ✅ Integrated into UnifiedNormalizationEngine ✅ Auto-detection working for URL columns
Status: COMPLETED ✅
Problem: City/ZIP normalization services exist but aren't being applied during CSV processing
- ZIP codes appearing in city column (76102, 77539, 75220, 78621, 77304, 77060)
- NaN values remaining in ZIP column
- Context-aware normalization not integrated into actual CSV workflow
Root Cause Investigation:
- Check if normalizeValue.ts is being called during CSV processing
- Verify column type detection for city/ZIP columns
- Check if ContextAwareNormalizer is actually being invoked
- Identify where CSV processing bypasses normalization logic
Fixes Needed:
- Fix ZIP codes appearing in city column
- Fix NaN values in ZIP column
- Ensure ContextAwareNormalizer is called for every city/ZIP value
- Add context-aware normalization to contextAwareExecutor
Testing:
- Create test CSV with problematic data
- Verify no ZIP codes in city column (76102 → Fort Worth)
- Verify no NaN in ZIP column (Houston + NaN → Houston + 77001)
- Verify title case cities (houston → Houston)
- All 8 test cases passing
Secondary Feature (Phone Imputation):
- Evaluate intelligent imputation for missing phone numbers
- Check if same company + same address → copy phone number
- Implement PhoneImputationService
- All 6 test cases passing
Status: COMPLETED ✅
Goal: Verify and ensure all city/ZIP normalization fixes are properly deployed and working
- Check current version display in footer (showing v3.45.0, should be v3.47.0)
- Verify shared/versionManager.ts has correct VERSION constant
- Check if CityRepairService.ts exists in codebase
- Check if ZIPRepairService.ts exists in codebase
- Check if ContextAwareNormalizer.ts exists in codebase
- Verify normalizeValue.ts imports and uses context-aware services
- Update VERSION constant in shared/versionManager.ts from 3.46.1 to 3.47.0
- Verify Footer component uses dynamic version
- Clear localStorage cache for version
- Confirm CityRepairService has title case conversion
- Confirm CityRepairService has ZIP-to-city lookup
- Confirm ZIPRepairService has city-to-ZIP lookup
- Confirm ContextAwareNormalizer orchestrates both services
- Verify normalizeValue.ts calls context-aware normalization for city columns
- Verify normalizeValue.ts calls ZIP repair for ZIP columns
- Create test CSV with lowercase cities (austin, houston, dallas)
- Create test CSV with ZIP codes in city column (76903, 77304)
- Create test CSV with truncated cities (san, fort, el)
- Process test CSVs through web interface
- Verify output has Title Case cities
- Verify output has proper ZIP codes (not NaN)
- Verify truncated cities are repaired
- Restart dev server to clear worker cache
- Hard refresh browser (Ctrl+Shift+R)
- Verify version shows v3.47.0 in footer
- Re-run functionality tests after restart
- Document test results
- Confirm all normalization fixes are working
- Provide user with verification report
Status: COMPLETED ✅
Features Implemented:
- CityRepairService with ZIP lookup and title case
- ZIPRepairService with city lookup
- ValidationService for cross-validation
- ContextAwareNormalizer orchestration
- Texas city fallback lookup (100+ cities)
- Fixed 31 NaN ZIP codes
- Achieved 100% ZIP population
- Average confidence: 96.92%
Test Results:
- 3,230 rows processed in 10.89s
- 329 cities repaired
- 41 ZIPs repaired
- 133 validation failures flagged
- 0 NaN ZIPs (was 31)
Status: COMPLETED ✅
Goal: Implement dynamic version fetching from package.json with caching, create reusable Footer component, and add GitHub releases link with hover preview
- Create shared/versionManager.ts utility
- readVersionFromPackageJson() function
- getVersionWithCache() function (cache in localStorage)
- Cache expiration (1 hour)
- Create client/src/components/Footer.tsx shared component
- Accept version prop
- Display version number
- GitHub link with icon
- Hover preview for releases link
- Responsive design
- Update versionManager.ts with caching logic
- localStorage key: "app_version_cache"
- Cache timestamp tracking
- Automatic cache invalidation after 1 hour
- Fallback to hardcoded version if fetch fails
- Home.tsx - Replace footer with shared component
- IntelligentNormalization.tsx - Replace footer with shared component
- BatchJobs.tsx - Replace footer with shared component
- CRMSyncMapper.tsx - Replace footer with shared component
- MemoryMonitoringDashboard.tsx - Replace footer with shared component
- Add hover tooltip to releases link
- Show "View releases on GitHub" on hover
- Link to https://github.com/roALAB1/data-normalization-platform/releases
- Simple link styling (no complex preview needed)
- Test version fetching on all pages
- Verify caching works correctly
- Test hover preview on GitHub link
- Create and run unit tests (21/21 tests passing)
- Save checkpoint with all changes
Status: COMPLETED ✅
Goal: Add PO Box normalization, ZIP code validation with @mardillu/us-cities-utils, and confidence scoring system
- Install @mardillu/us-cities-utils npm package
- Create ZIPValidationService class
- lookup(zip) → { city, state, lat, long }
- validateZIPState(zip, state) → boolean
- getStateFromZIP(zip) → string
- isValidZIP(zip) → boolean
- Add error handling for invalid ZIPs
- Create POBoxDetector utility
- Detect PO Box patterns (P.O. Box, PO Box, POBox, P O Box, etc.)
- Normalize to standard format "PO Box XXX"
- Extract box number
- Handle alphanumeric and hyphenated box numbers
- Update AddressParser to handle PO Box addresses
- Continue extracting city/state/ZIP (don't skip)
- Mark address as PO Box in metadata
- Add "box" to STREET_SUFFIXES for proper parsing
- Special handling in parseRunOnAddress for PO Box format
- Integrate ZIPValidationService into AddressParser
- Validate extracted ZIP against extracted state
- Flag mismatches in confidence scoring
- Add validation errors to flags array
- Support ZIP+4 format validation
- Create ConfidenceScorer class
- scoreStreet() - 0-1 based on components
- scoreCity() - 0-1 based on validation
- scoreState() - 0-1 based on format & ZIP match
- scoreZIP() - 0-1 based on format & state match
- scoreOverall() - average of all components
- getConfidenceLevel() - returns "high", "medium", or "low"
- Add flags array for issues (missing_state, missing_zip, ambiguous_city, zip_state_mismatch, etc.)
- Return confidence in AddressParseResult
- Support ambiguous city detection
- Update AddressParser.ts to use all new features
- Update AddressParseResult interface with confidence field
- Create v3.45.0 unit tests
- PO Box normalization tests (10 tests)
- ZIP validation tests (5 tests)
- Confidence scoring tests (22 tests)
- Edge cases (missing components, mismatches, etc.)
- Run full test suite - 37/37 v3.45.0 tests passing
- Verify backward compatibility with v3.43 and v3.44 tests
- Create comprehensive test suite (37 tests)
- Test all PO Box variations (P.O. Box, PO Box, POBox, P O Box, P.O.Box)
- Test confidence scoring for complete and incomplete addresses
- Test ZIP/state validation and mismatch detection
- Test ambiguous city detection
- Verify all 37 v3.45.0 tests passing
- Verify backward compatibility (all v3.43 and v3.44 tests still passing)
- Ready for checkpoint and delivery
Status: COMPLETED ✅
Goal: Fix 8 failing edge case tests and add ZIP+4 support to improve extraction rates from 70-75% to 90%+
- Run test suite and identify 5 failing tests (not 8)
- Categorize failures by pattern:
- Issue #1: Addresses without ZIP - city parsed as street (456 Maple Dr Springfield IL)
- Issue #2: Addresses without street suffix - entire address parsed as city (123 Main Durham NC 27701)
- Issue #3: Periods not removed from street names (301 W. 6th St. → should be 301 W 6th St)
- Issue #4: Hyphens in street names treated as word boundaries (North-South → Blvd)
- Issue #5: Trailing periods not removed after secondary address stripping (301 W6th St.)
- Root causes identified:
- parseRunOnAddress() requires street suffix to identify street boundary
- Title case formatter doesn't remove periods
- Hyphenated street names split incorrectly
- Secondary address stripping leaves trailing periods
- Fix period handling in street names (titleCase now removes periods)
- Fix hyphenated street name preservation (North-South Blvd)
- Fix stripSecondaryAddress word boundary issues (Springfield vs sp)
- Fix addresses without ZIP codes (456 Maple Dr Springfield IL)
- Fix addresses without street suffix (123 Main Durham NC 27701)
- Update AddressParser.ts with all fixes
- Verify all 25 tests now pass (was 20/25, now 25/25)
- Add ZIP+4 pattern detection (12345-6789)
- Update parseRunOnAddress() to handle extended format
- Add 12 tests for ZIP+4 extraction (all passing)
- Ensure backward compatibility with 5-digit ZIP
- Test mixed ZIP formats (5-digit and ZIP+4)
- Run full test suite (71/71 passing - includes 34 v3.42, 25 v3.43, 12 v3.44)
- Test with 200+ sample addresses (203 total)
- Verify extraction rates EXCEEDED targets:
- City: 99.5% (target 90%+, was 75%) - +24.5% improvement
- State: 91.1% (target 90%+, was 70%) - +21.1% improvement
- ZIP: 91.1% (target 85%+, was 55%) - +36.1% improvement
- Test ZIP+4 extraction on real data (12 tests, all passing)
- Verify backward compatibility (5-digit ZIPs still work)
- Update VERSION_HISTORY.md with v3.44.0 (docs/VERSION_HISTORY_v3.44.0.md)
- Update CHANGELOG.md with comprehensive v3.44.0 entry
- Create checkpoint (ready)
- Deliver to user with improved test results
Status: COMPLETED ✅
- Update VERSION_HISTORY.md with v3.43.0 (docs/VERSION_HISTORY_v3.43.0.md)
- Update CHANGELOG.md with v3.43.0 entry
- Create checkpoint (66f8afa1)
- Deliver to user with test results
Status: COMPLETED ✅
- Update VERSION_HISTORY.md with v3.42.0
- Update CHANGELOG.md
- Create checkpoint (8bdf2bee)
- Deliver to user with test results
Status: COMPLETED ✅
- Committed all changes to git
- Pushed changes to GitHub
- Verified v3.41.0 release created successfully
- Verified GitHub Actions workflows functional
- All automation features working
Status: COMPLETED ✅
Root Cause: File descriptor leak in Vite's HMR system (19 leaked handles to index.html)
Solution:
- Added file watcher limits to vite.config.ts
- Proper file handle cleanup in server/_core/vite.ts
- 90% CPU reduction (72% → 7.2%)
- 99.97% faster health checks (30s → 10ms)
Status: COMPLETED ✅
- 266/266 tests passing
- 70% improvement in parsing success rate
Status: COMPLETED ✅
- Added 314 missing credentials (682 → 996)
Phone Number Imputation (NEW FEATURE):
- Create PhoneImputationService
- Normalize company names for matching
- Normalize addresses for matching
- Build lookup map from rows with phone numbers
- Fill missing phones using context matching
- Integrate into CSV processing workflow
- Test with user's CSV data (ready for production)