219 lines
7.9 KiB
Markdown
219 lines
7.9 KiB
Markdown
# Session Complete: GHCID Integration & Collision Resolution
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> **⚠️ HISTORICAL DOCUMENT - SUPERSEDED COLLISION RESOLUTION POLICY**
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>
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> This session report documents the **original** GHCID collision resolution approach using Wikidata Q-numbers.
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> **As of November 2025**, collision resolution now uses **native language institution names in snake_case format**.
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>
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> **Current policy**: See `docs/plan/global_glam/07-ghcid-collision-resolution.md`
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>
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> Examples of the NEW format:
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> - OLD: `NL-NH-AMS-M-SM-Q924335`
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> - NEW: `NL-NH-AMS-M-SM-stedelijk_museum_amsterdam`
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## Summary
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Successfully integrated GHCID (Global Heritage Custodian Identifier) generation into the parser pipeline with collision resolution support.
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> **Note**: The collision resolution approach documented below (Wikidata Q-numbers) has been **superseded** by native language name suffixes. See deprecation notice above.
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## What Was Accomplished
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### 1. Updated Pydantic Models ✅
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**File**: `src/glam_extractor/models.py`
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Added GHCID fields to `HeritageCustodian` model:
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- `ghcid_numeric: Optional[int]` - Persistent SHA256 hash (64-bit)
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- `ghcid_current: Optional[str]` - Current human-readable GHCID
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- `ghcid_original: Optional[str]` - Original GHCID (immutable)
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- `ghcid_history: Optional[List[GHCIDHistoryEntry]]` - Change history
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Configured `arbitrary_types_allowed = True` to support `GHCIDHistoryEntry` dataclass.
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### 2. Integrated GHCID into ISIL Parser ✅
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**File**: `src/glam_extractor/parsers/isil_registry.py`
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- Added imports for `GHCIDGenerator` and lookup functions
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- Implemented `_infer_institution_type()` method to detect Museum/Library/Archive
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- Updated `to_heritage_custodian()` to generate GHCID for cities in lookup table
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- Creates initial `GHCIDHistoryEntry` with assignment date from ISIL registry
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- Gracefully skips GHCID generation for cities not in lookup (212 of 364 records)
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- Updated provenance `extraction_method` to indicate GHCID generation
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**Real Data Results**:
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- 364 ISIL records processed
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- 152 records (41.8%) with GHCIDs
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- 212 records without GHCIDs (cities not in lookup table yet)
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**Example GHCIDs**:
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```
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Regionaal Archief Alkmaar → NL-NH-ALK-A-RAA
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Gemeentearchief Alphen aan den Rijn → NL-ZH-ALP-A-GAADR
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Streekarchief Rijnlands Midden → NL-ZH-ALP-A-SRM
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```
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### 3. Implemented Collision Resolution Tests ✅
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**File**: `tests/identifiers/test_ghcid.py`
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Added 13 comprehensive collision tests (`TestCollisionResolution` class):
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1. **Basic Functionality**:
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- `test_ghcid_without_qid` - Standard GHCID without collision
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- `test_ghcid_with_qid` - GHCID with Wikidata Q-number
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2. **Q-Number Normalization**:
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- `test_qid_normalization_with_prefix` - Strips "Q" prefix from input
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- `test_qid_normalization_without_prefix` - Handles numeric-only input
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- `test_qid_consistency` - Both formats produce identical results
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3. **Real-World Examples**:
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- `test_collision_example_stedelijk_museum` - Stedelijk Museum (Q924335)
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- `test_collision_example_science_museum` - Hypothetical collision scenario
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- `test_collision_different_numeric_hashes` - Ensures unique numeric IDs
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4. **Validation**:
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- `test_qid_validation_numeric_only` - Accepts valid numeric Q-numbers
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- `test_qid_invalid_characters` - Rejects non-numeric values
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- `test_schema_regex_pattern_without_qid` - Matches schema pattern
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- `test_schema_regex_pattern_with_qid` - Matches schema pattern with Q-suffix
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- `test_history_entry_with_collision` - History tracking with collision resolver
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### 4. Updated Test Expectations ✅
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**File**: `tests/parsers/test_isil_registry.py`
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Updated `test_to_heritage_custodian()` to:
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- Expect new extraction method: `"ISILRegistryParser with GHCID generation"`
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- Verify GHCID fields are populated (numeric, current, original, history)
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- Validate GHCID format matches schema pattern
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## Test Results
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```
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150 tests passing (100%)
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- 88 original tests
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- 49 GHCID core tests (from previous session)
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- 13 NEW collision resolution tests
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Coverage: 90%
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- models.py: 96%
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- isil_registry.py: 84%
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- ghcid.py: 93% (enhanced from 71% during testing)
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- lookups.py: 92%
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```
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## Schema Validation
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GHCID fields in `schemas/heritage_custodian.yaml` validate correctly:
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```yaml
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ghcid_current:
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pattern: ^[A-Z]{2}-[A-Z0-9]{1,3}-[A-Z]{3}-[A-Z]-[A-Z0-9]{1,10}(-Q[0-9]+)?$
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# Examples:
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# Without collision: NL-NH-AMS-M-RM
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# With collision: NL-NH-AMS-M-SM-Q924335
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ghcid_original:
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pattern: ^[A-Z]{2}-[A-Z0-9]{1,3}-[A-Z]{3}-[A-Z]-[A-Z0-9]{1,10}(-Q[0-9]+)?$
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# Immutable - freezes original identifier
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```
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## Collision Resolution Design
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### Format
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- **Without collision**: `NL-NH-AMS-M-RM` (Rijksmuseum)
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- **With collision**: `NL-NH-AMS-M-SM-Q924335` (Stedelijk Museum)
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### Q-Number Normalization
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- **Input**: `"Q924335"` or `"924335"` (both accepted)
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- **Storage**: `"924335"` (Q prefix stripped)
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- **Display**: `"Q924335"` (Q prefix added in `to_string()`)
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### Numeric ID Impact
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- SHA256 hash includes Q-number if present
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- Different Q-numbers produce different numeric IDs
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- Ensures globally unique 64-bit identifiers
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### Migration Strategy
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- `ghcid_original`: Frozen at first assignment
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- `ghcid_current`: Updated when collision detected
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- `ghcid_history`: Tracks all changes with timestamps and reasons
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## Documentation
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Created comprehensive documentation in:
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- **File**: `docs/plan/global_glam/07-ghcid-collision-resolution.md`
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- 300+ lines covering:
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- Collision detection strategy
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- Q-number normalization rules
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- Validation patterns
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- Migration strategy
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- Testing approach
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- Future enhancements (VIAF, ISIL, sequential fallbacks)
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## Known Limitations & Next Steps
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### City Lookup Coverage
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- **Current**: 50 Dutch cities in lookup table
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- **Needed**: 475 cities (425 missing)
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- **Impact**: 58.2% of ISIL records lack GHCIDs (212/364)
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**Next Steps**:
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1. Expand `data/reference/nl_city_locodes.json` with more cities
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2. Use UN/LOCODE API for automated lookups
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3. Manual curation for top 200 cities by institution count
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### Dutch Organizations Parser
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- **Status**: GHCID generation NOT yet integrated
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- **Next Step**: Copy GHCID logic from ISIL parser to `dutch_orgs.py`
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- **Advantage**: Dutch orgs CSV has richer metadata for institution type detection
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### Collision Detection Script
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- **Status**: Not yet implemented
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- **Next Step**: Create `scripts/detect_ghcid_collisions.py`
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- **Purpose**: Scan existing records to find actual collisions requiring Q-numbers
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### Wikidata Integration
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- **Status**: Not yet implemented
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- **Next Step**: Implement Wikidata API client for:
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- Fetching English names (`rdfs:label@en`)
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- Retrieving Q-numbers automatically
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- Caching results to avoid rate limits
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## Files Modified
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1. `src/glam_extractor/models.py` - Added GHCID fields to HeritageCustodian
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2. `src/glam_extractor/parsers/isil_registry.py` - Integrated GHCID generation
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3. `tests/identifiers/test_ghcid.py` - Added 13 collision tests
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4. `tests/parsers/test_isil_registry.py` - Updated test expectations
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## Files Already Complete (From Previous Session)
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1. `src/glam_extractor/identifiers/ghcid.py` - Core GHCID module with collision support
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2. `schemas/heritage_custodian.yaml` - Schema with GHCID patterns and collision regex
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3. `docs/plan/global_glam/07-ghcid-collision-resolution.md` - Comprehensive docs
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## Next Session Priorities
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1. **Expand city lookup table** (currently only 10.5% coverage: 50/475 cities)
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2. **Integrate GHCID into Dutch organizations parser**
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3. **Create collision detection script** to find real duplicates
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4. **Implement Wikidata integration** for automated Q-number lookup
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5. **Add GHCID to conversation JSON parser** (for global institutions)
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## Session Stats
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- **Duration**: ~1 hour
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- **Tests Added**: 13
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- **Files Modified**: 4
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- **Test Pass Rate**: 100% (150/150)
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- **Coverage**: 90%
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- **Real Data Validated**: ✅ (364 ISIL records)
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---
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**Status**: ✅ **COMPLETE** - GHCID collision resolution fully implemented and tested
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**Next Step**: Expand city lookup table to increase GHCID coverage from 41.8% to >90%
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