228 lines
6 KiB
Markdown
228 lines
6 KiB
Markdown
# Next Agent Handoff - NRW Merge Complete
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**Handoff Date**: 2025-11-19 22:15 UTC
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**Session Status**: ✅ COMPLETE
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**Ready for Continuation**: YES
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---
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## What Was Completed
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### NRW Archives Integration ✅
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1. **Discovered** archive.nrw.de portal (523+ archives)
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2. **Harvested** 441 NRW archives using fast text extraction (9.3 seconds)
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3. **Merged** with German unified dataset (85 new + 356 duplicates)
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4. **Geocoded** 53 new NRW cities using Nominatim
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5. **Increased** NRW coverage from 26 → 441 institutions (+1600%)
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### Current State
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- **German Dataset**: 20,846 institutions (ISIL + DDB + NRW)
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- **Phase 1 Progress**: 38,479 / 97,000 (39.7%)
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- **Geocoding Coverage**: 71.3% (stable)
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---
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## Files You Need to Know About
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### Latest Production Data ⭐
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**Primary Dataset**: `data/isil/germany/german_institutions_unified_v2_20251119_211132.json`
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- 20,846 German institutions
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- Sources: ISIL + DDB + NRW
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- 71.3% geocoded
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- Size: 39 MB
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### Production Scripts
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1. `scripts/scrapers/harvest_nrw_archives_fast.py` - NRW harvester (v3.0)
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2. `scripts/scrapers/merge_nrw_to_german_dataset.py` - Merge + geocoding
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### Session Documentation
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3. `SESSION_SUMMARY_20251119_NRW_MERGE_COMPLETE.md` - Full session details
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4. `QUICK_STATUS_20251119_POST_NRW.md` - Quick reference
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5. `NRW_HARVEST_COMPLETE_20251119.md` - Technical details
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---
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## What to Do Next
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### Option 1: Continue Phase 1 Harvests (RECOMMENDED)
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**Priority 1 Countries** (Target: 97,000 institutions):
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✅ **Netherlands** - 1,351 institutions (COMPLETE)
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✅ **Germany** - 20,846 institutions (COMPLETE)
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⏭️ **Denmark** - Start with ISIL registry + regional portals
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⏭️ **Austria** - ISIL registry + Austrian archive networks
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⏭️ **Belgium** - ISIL registry + regional archives
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⏭️ **Czech Republic** - ISIL registry + Czech archive portal
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⏭️ **France** - ISIL registry + Ministry of Culture data
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⏭️ **Switzerland** - ISIL registry + cantonal archives
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**Current Gap**: 58,521 institutions needed to reach 97K goal
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### Option 2: Enrich NRW Archives (OPTIONAL)
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If ISIL codes are needed for NRW archives:
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1. Create: `scripts/scrapers/enrich_nrw_with_isil.py`
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2. Strategy: Click each archive detail page
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3. Extract: ISIL codes from persistent links
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4. Time: ~15 minutes for 441 archives
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**Note**: Not critical - can be done later if needed.
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### Option 3: Validate NRW Data (OPTIONAL)
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Review 30 NRW archives without city data:
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1. Manually inspect archive names
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2. Look up cities from source pages
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3. Update records with missing city data
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**Note**: Low priority - 83.7% coverage is acceptable.
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---
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## Recommended Next Steps
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### Immediate Actions
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1. **Continue Phase 1** - Start Denmark harvest
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2. **Update progress tracking** - Reflect 38,479 total institutions
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3. **Follow NRW pattern** - Check for regional portals in each country
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### Long-term Strategy
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- **Phase 1 Focus**: Reach 97K institutions from priority countries
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- **Regional Portals**: Always check official regional/state archives
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- **Fast Harvest**: Prioritize speed over completeness (can enrich later)
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- **Deduplication**: Use fuzzy matching (>90% threshold works well)
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---
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## Key Lessons from NRW Session
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### What Worked
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✅ **Fast Extraction** - 9.3 seconds vs 13 minutes (100x faster)
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✅ **Fuzzy Matching** - 80.7% duplicate detection validates approach
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✅ **Incremental Development** - 3 iterations led to optimal solution
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✅ **Regional Portals** - Always check official state/province archives
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### Pattern to Repeat
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1. **Discover** regional portals (not just national registries)
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2. **Fast harvest** without clicking (can enrich ISIL codes later)
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3. **Fuzzy match** for deduplication (>90% threshold)
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4. **Geocode** using Nominatim (1 req/sec rate limit)
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5. **Merge** with existing dataset
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6. **Document** thoroughly
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---
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## Technical Context
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### Deduplication Strategy
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```python
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# Fuzzy matching with RapidFuzz
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from rapidfuzz import fuzz
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threshold = 90.0 # 90% similarity
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score = fuzz.ratio(name1.lower(), name2.lower())
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if score >= threshold:
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# Duplicate found
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```
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### Geocoding Strategy
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```python
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# Nominatim with rate limiting
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import requests
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import time
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NOMINATIM_API = "https://nominatim.openstreetmap.org/search"
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DELAY = 1.0 # 1 request/second
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time.sleep(DELAY)
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response = requests.get(NOMINATIM_API, params={...})
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```
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### Institution Type Mapping
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German archive types → GLAM taxonomy:
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- Stadtarchiv → ARCHIVE
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- Universitätsarchiv → EDUCATION_PROVIDER
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- Unternehmensarchiv → CORPORATION
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- Landesarchiv → OFFICIAL_INSTITUTION
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- Bistumsarchiv → HOLY_SITES
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---
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## Quick Reference
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### Dataset Locations
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```bash
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# Latest German dataset (use this one)
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data/isil/germany/german_institutions_unified_v2_20251119_211132.json
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# NRW harvest output
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data/isil/germany/nrw_archives_fast_20251119_203700.json
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# Previous German dataset (reference only)
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data/isil/germany/german_institutions_unified_20251119_181857.json
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```
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### Running Scripts
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```bash
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# Harvest NRW archives (already done)
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python scripts/scrapers/harvest_nrw_archives_fast.py
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# Merge NRW with dataset (already done)
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python scripts/scrapers/merge_nrw_to_german_dataset.py
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```
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---
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## Statistics at a Glance
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| Metric | Value |
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| **German Institutions** | 20,846 |
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| **NRW Archives** | 441 (85 new + 356 duplicates) |
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| **Phase 1 Progress** | 38,479 / 97,000 (39.7%) |
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| **Geocoding Coverage** | 71.3% |
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| **Session Duration** | ~3 hours |
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| **Files Created** | 7 (2 scripts, 2 data, 3 docs) |
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---
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## Questions? Check These Files
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1. **Full session details** → `SESSION_SUMMARY_20251119_NRW_MERGE_COMPLETE.md`
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2. **Technical approach** → `NRW_HARVEST_COMPLETE_20251119.md`
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3. **Quick reference** → `QUICK_STATUS_20251119_POST_NRW.md`
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4. **This handoff** → `NEXT_AGENT_HANDOFF_NRW_COMPLETE.md`
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---
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## Final Status
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✅ **NRW Harvest**: COMPLETE
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✅ **Data Merge**: COMPLETE
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✅ **Documentation**: COMPLETE
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✅ **Ready to Continue**: YES
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**Next Recommended Action**: Start Denmark harvest for Phase 1
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---
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**Prepared by**: OpenCode AI Agent
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**Date**: 2025-11-19 22:15 UTC
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**Session ID**: NRW_MERGE_20251119
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