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feat(scripts): add city enrichment and location resolution utilities

Browse source 
Enrichment scripts for country-specific city data:
- enrich_austrian_cities.py, enrich_belgian_cities.py, enrich_belgian_v2.py
- enrich_bulgarian_cities.py, enrich_czech_cities.py, enrich_czech_cities_fast.py
- enrich_japanese_cities.py, enrich_swiss_isil_cities.py, enrich_cities_google.py

Location resolution utilities:
- resolve_cities_from_file_coords.py - Resolve cities using coordinates in filenames
- resolve_cities_wikidata.py - Use Wikidata P131 for city resolution
- resolve_country_codes.py - Standardize country codes
- resolve_cz_xx_regions.py - Fix Czech XX region codes
- resolve_locations_by_name.py - Name-based location lookup
- resolve_regions_from_city.py - Derive regions from city data
- update_ghcid_with_geonames.py - Update GHCIDs with GeoNames data

CH-Annotator integration:
- create_custodian_from_ch_annotator.py - Create custodians from annotations
- add_ch_annotator_location_claims.py - Add location claims
- extract_locations_ch_annotator.py - Extract locations from annotations

Migration and fixes:
- migrate_egyptian_from_ch.py - Migrate Egyptian data
- migrate_web_archives.py - Migrate web archive data
- fix_belgian_cities.py - Fix Belgian city data
This commit is contained in:
kempersc 2025-12-07 14:26:59 +01:00
parent 4825f57951
commit e45c1a3c85
22 changed files with 9349 additions and 0 deletions
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203
scripts/add_ch_annotator_location_claims.py Normal file
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#!/usr/bin/env python3
"""
Add CH-Annotator compliant location claims to recently resolved Czech institution files.
This script adds location claims (city, region, country, geonames_id) to the
ch_annotator.entity_claims array with proper 5-component provenance:
1. namespace (geonames)
2. path (xpath-style path to GeoNames resource)
3. timestamp (ISO 8601)
4. agent (opencode-claude-sonnet-4)
5. context_convention (ch_annotator-v1_7_0)
Per AGENTS.md Rule 5: Additive only - never delete existing data.
Per AGENTS.md Rule 10: CH-Annotator is the entity annotation convention.
"""
import os
import yaml
from datetime import datetime, timezone
from pathlib import Path
# Configuration
CUSTODIAN_DIR = Path("/Users/kempersc/apps/glam/data/custodian")
RESEARCH_DATE = "2025-12-07"
def find_resolved_files():
"""Find all files resolved on the specified research date."""
resolved_files = []
for yaml_file in CUSTODIAN_DIR.glob("CZ-*.yaml"):
try:
with open(yaml_file, 'r', encoding='utf-8') as f:
content = f.read()
if f"research_date: '{RESEARCH_DATE}'" in content:
resolved_files.append(yaml_file)
except Exception as e:
print(f"Error reading {yaml_file}: {e}")
return sorted(resolved_files)
def add_location_claims(yaml_file: Path) -> bool:
"""
Add CH-Annotator location claims to a custodian file.
Returns True if claims were added, False if already present or error.
"""
try:
with open(yaml_file, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
if not data:
print(f" SKIP: Empty file {yaml_file.name}")
return False
# Get location data from ghcid.location_resolution
location_resolution = data.get('ghcid', {}).get('location_resolution', {})
location = data.get('location', {})
if not location_resolution.get('geonames_id'):
print(f" SKIP: No GeoNames ID in {yaml_file.name}")
return False
# Extract location values
city_name = location_resolution.get('city_name') or location.get('city')
region_name = location_resolution.get('region_name') or location.get('region')
country_code = location_resolution.get('country_code') or location.get('country')
geonames_id = location_resolution.get('geonames_id') or location.get('geonames_id')
resolution_timestamp = location_resolution.get('resolution_timestamp')
if not all([city_name, country_code, geonames_id]):
print(f" SKIP: Missing required location data in {yaml_file.name}")
return False
# Ensure ch_annotator.entity_claims exists
if 'ch_annotator' not in data:
data['ch_annotator'] = {}
if 'entity_claims' not in data['ch_annotator']:
data['ch_annotator']['entity_claims'] = []
entity_claims = data['ch_annotator']['entity_claims']
# Check if location claims already exist
existing_claim_types = {c.get('claim_type') for c in entity_claims if c}
if 'location_city' in existing_claim_types:
print(f" SKIP: Location claims already exist in {yaml_file.name}")
return False
# Create timestamp for provenance
timestamp = resolution_timestamp or datetime.now(timezone.utc).isoformat()
# Common provenance structure
def make_provenance(path_suffix: str):
return {
'namespace': 'geonames',
'path': f'/cities/{geonames_id}{path_suffix}',
'timestamp': timestamp,
'agent': 'glm4.6', # Z.AI GLM 4.6 - preferred model
'context_convention': 'ch_annotator-v1_7_0'
}
# Add location_city claim
entity_claims.append({
'claim_type': 'location_city',
'claim_value': city_name,
'property_uri': 'schema:addressLocality',
'provenance': make_provenance('/name'),
'confidence': 0.95,
'resolution_method': 'GEONAMES_RESEARCH'
})
# Add location_region claim (if available)
if region_name:
entity_claims.append({
'claim_type': 'location_region',
'claim_value': region_name,
'property_uri': 'schema:addressRegion',
'provenance': make_provenance('/admin1'),
'confidence': 0.95,
'resolution_method': 'GEONAMES_RESEARCH'
})
# Add location_country claim
entity_claims.append({
'claim_type': 'location_country',
'claim_value': country_code,
'property_uri': 'schema:addressCountry',
'provenance': make_provenance('/country'),
'confidence': 0.98,
'resolution_method': 'GEONAMES_RESEARCH'
})
# Add geonames_id claim
entity_claims.append({
'claim_type': 'geonames_id',
'claim_value': str(geonames_id),
'property_uri': 'gn:geonamesId',
'provenance': make_provenance(''),
'confidence': 0.98,
'resolution_method': 'GEONAMES_RESEARCH'
})
# Write back to file
with open(yaml_file, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
print(f" ADDED: 4 location claims to {yaml_file.name}")
return True
except Exception as e:
print(f" ERROR: {yaml_file.name}: {e}")
return False
def main():
print("=" * 70)
print("CH-Annotator Location Claims Addition Script")
print("=" * 70)
print(f"Looking for files resolved on: {RESEARCH_DATE}")
print()
# Find resolved files
resolved_files = find_resolved_files()
print(f"Found {len(resolved_files)} resolved files")
print()
# Process each file
added_count = 0
skipped_count = 0
error_count = 0
for yaml_file in resolved_files:
result = add_location_claims(yaml_file)
if result:
added_count += 1
elif result is False:
skipped_count += 1
else:
error_count += 1
# Summary
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {len(resolved_files)}")
print(f"Claims added: {added_count}")
print(f"Skipped: {skipped_count}")
print(f"Errors: {error_count}")
print()
if added_count > 0:
print("CH-Annotator location claims added successfully!")
print("Each file now has 4 new claims:")
print(" - location_city (schema:addressLocality)")
print(" - location_region (schema:addressRegion)")
print(" - location_country (schema:addressCountry)")
print(" - geonames_id (gn:geonamesId)")
if __name__ == "__main__":
main()

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scripts/create_custodian_from_ch_annotator.py Normal file
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#!/usr/bin/env python3
"""
Create custodian files from CH-Annotator data for unmatched institutions.
This script:
1. Loads CH-Annotator files from data/instances/*_ch_annotator.yaml
2. Checks which institutions don't have custodian files yet
3. Generates GHCID for each new institution
4. Creates custodian files in data/custodian/
Usage:
python scripts/create_custodian_from_ch_annotator.py [--dry-run] [--limit N]
"""
import os
import sys
import yaml
import json
import re
import uuid
import hashlib
import argparse
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Tuple, Any
# Paths
PROJECT_ROOT = Path(__file__).parent.parent
CH_ANNOTATOR_DIR = PROJECT_ROOT / "data" / "instances"
CUSTODIAN_DIR = PROJECT_ROOT / "data" / "custodian"
REPORTS_DIR = PROJECT_ROOT / "reports"
INDEX_FILE = Path("/tmp/custodian_index.json")
# GHCID namespace UUID for deterministic UUID generation
GHCID_NAMESPACE = uuid.UUID('6ba7b810-9dad-11d1-80b4-00c04fd430c8') # URL namespace
# Institution type to GHCID code mapping
TYPE_TO_CODE = {
'GALLERY': 'G',
'LIBRARY': 'L',
'ARCHIVE': 'A',
'MUSEUM': 'M',
'OFFICIAL_INSTITUTION': 'O',
'RESEARCH_CENTER': 'R',
'CORPORATION': 'C',
'UNKNOWN': 'U',
'BOTANICAL_ZOO': 'B',
'EDUCATION_PROVIDER': 'E',
'COLLECTING_SOCIETY': 'S',
'FEATURES': 'F',
'INTANGIBLE_HERITAGE_GROUP': 'I',
'MIXED': 'X',
'PERSONAL_COLLECTION': 'P',
'HOLY_SITES': 'H',
'DIGITAL_PLATFORM': 'D',
'NGO': 'N',
'TASTE_SMELL': 'T',
}
# Prepositions/articles to skip in abbreviations
SKIP_WORDS = {
'de', 'het', 'een', 'van', 'voor', 'in', 'op', 'te', 'den', 'der', 'des',
'a', 'an', 'the', 'of', 'at', 'on', 'to', 'for', 'with', 'from', 'by',
'le', 'la', 'les', 'un', 'une', 'des', 'du', 'à', 'au', 'aux', 'en',
'der', 'die', 'das', 'dem', 'ein', 'eine', 'von', 'zu', 'für', 'mit',
'el', 'la', 'los', 'las', 'un', 'una', 'del', 'al', 'con', 'por', 'para',
'o', 'os', 'as', 'um', 'uma', 'do', 'da', 'dos', 'das', 'em', 'no', 'na',
'il', 'lo', 'i', 'gli', 'di', 'del', 'dello', 'della', 'nel', 'nella',
'and', 'or', 'but', 'und', 'oder', 'et', 'ou', 'e', 'y', 'o',
}
def normalize_name(name: str) -> str:
"""Normalize name for comparison."""
if not name:
return ""
name = name.lower()
name = re.sub(r'[^\w\s]', '', name)
name = re.sub(r'\s+', ' ', name).strip()
return name
def normalize_wikidata(qid: str) -> str:
"""Normalize Wikidata ID."""
if not qid:
return ""
if '/' in str(qid):
qid = str(qid).split('/')[-1]
return str(qid).strip().upper()
def generate_abbreviation(name: str, max_len: int = 10) -> str:
"""Generate abbreviation from institution name."""
if not name:
return "UNK"
# Remove special characters but keep letters and spaces
clean = re.sub(r'[^\w\s]', ' ', name)
words = clean.split()
# Filter out skip words and numbers
significant_words = [w for w in words if w.lower() not in SKIP_WORDS and not w.isdigit()]
if not significant_words:
significant_words = words[:3] # Fallback to first 3 words
# Take first letter of each word
abbrev = ''.join(w[0].upper() for w in significant_words if w)
# Limit length
return abbrev[:max_len] if abbrev else "UNK"
def name_to_snake_case(name: str) -> str:
"""Convert name to snake_case for file suffix."""
import unicodedata
# Normalize unicode
normalized = unicodedata.normalize('NFD', name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Lowercase and clean
lower = ascii_name.lower()
no_punct = re.sub(r"[''`\",.:;!?()[\]{}]", '', lower)
underscored = re.sub(r'[\s\-]+', '_', no_punct)
clean = re.sub(r'[^a-z0-9_]', '', underscored)
final = re.sub(r'_+', '_', clean).strip('_')
return final[:50] # Limit length
def generate_ghcid(
country_code: str,
region_code: str,
city_code: str,
institution_type: str,
abbreviation: str,
name_suffix: Optional[str] = None
) -> str:
"""Generate GHCID string."""
type_code = TYPE_TO_CODE.get(institution_type, 'U')
ghcid = f"{country_code}-{region_code}-{city_code}-{type_code}-{abbreviation}"
if name_suffix:
ghcid = f"{ghcid}-{name_suffix}"
return ghcid
def generate_ghcid_uuid(ghcid: str) -> str:
"""Generate UUID v5 from GHCID string."""
return str(uuid.uuid5(GHCID_NAMESPACE, ghcid))
def generate_ghcid_uuid_sha256(ghcid: str) -> str:
"""Generate UUID v8 (SHA-256 based) from GHCID string."""
sha256_hash = hashlib.sha256(ghcid.encode()).hexdigest()
# Format as UUID v8
uuid_str = f"{sha256_hash[:8]}-{sha256_hash[8:12]}-8{sha256_hash[13:16]}-{sha256_hash[16:20]}-{sha256_hash[20:32]}"
return uuid_str
def generate_ghcid_numeric(ghcid: str) -> int:
"""Generate 64-bit numeric ID from GHCID."""
sha256_hash = hashlib.sha256(ghcid.encode()).digest()
return int.from_bytes(sha256_hash[:8], 'big')
def load_custodian_index() -> Dict:
"""Load or build custodian index."""
if INDEX_FILE.exists():
with open(INDEX_FILE, 'r') as f:
return json.load(f)
# Build index
print("Building custodian index...")
index = {'by_wikidata': {}, 'by_name': {}, 'by_isil': {}, 'by_ghcid': {}}
for f in CUSTODIAN_DIR.glob("*.yaml"):
try:
with open(f, 'r') as fh:
content = fh.read()
# Extract GHCID from filename
ghcid = f.stem
index['by_ghcid'][ghcid] = str(f)
# Extract Wikidata
match = re.search(r'wikidata_entity_id:\s*["\']?(Q\d+)', content)
if match:
index['by_wikidata'][match.group(1).upper()] = str(f)
# Extract name
match = re.search(r'organisatie:\s*(.+?)$', content, re.MULTILINE)
if match:
name = match.group(1).strip().strip('"\'')
index['by_name'][normalize_name(name)] = str(f)
except:
pass
with open(INDEX_FILE, 'w') as f:
json.dump(index, f)
return index
def institution_exists(inst: Dict, index: Dict) -> bool:
"""Check if institution already has a custodian file."""
# Check Wikidata
for ident in inst.get('identifiers', []):
if ident.get('identifier_scheme', '').upper() == 'WIKIDATA':
qid = normalize_wikidata(ident.get('identifier_value', ''))
if qid and qid in index['by_wikidata']:
return True
# Check name
name = normalize_name(inst.get('name', ''))
if name and name in index['by_name']:
return True
return False
def sanitize_code(code: str, max_len: int = 2) -> str:
"""Sanitize a code for use in filenames and GHCIDs.
- Removes diacritics
- Keeps only alphanumeric chars
- Converts to uppercase
- Truncates to max_len
"""
import unicodedata
if not code:
return "XX" if max_len == 2 else "XXX"
# Normalize unicode and remove diacritics
normalized = unicodedata.normalize('NFD', str(code))
ascii_only = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Keep only alphanumeric
clean = re.sub(r'[^a-zA-Z0-9]', '', ascii_only)
if not clean:
return "XX" if max_len == 2 else "XXX"
return clean[:max_len].upper()
def extract_location_info(inst: Dict) -> Tuple[str, str, str]:
"""Extract country, region, city codes from institution."""
locations = inst.get('locations', [])
country_code = "XX"
region_code = "XX"
city_code = "XXX"
if locations:
loc = locations[0]
country_code = loc.get('country', 'XX') or 'XX'
# Region: if it's a 2-letter code, use it; otherwise sanitize
region_raw = loc.get('region', 'XX') or 'XX'
if len(region_raw) == 2 and region_raw.isalpha():
region_code = region_raw.upper()
else:
# It's a full region name - take first 2 letters
region_code = sanitize_code(region_raw, 2)
# City: generate 3-letter code
city = loc.get('city', '')
if city:
city_code = sanitize_code(city, 3)
return country_code, region_code, city_code
def create_custodian_file(inst: Dict, source_file: str, index: Dict) -> Tuple[Optional[Path], str]:
"""
Create a custodian file for an institution.
Returns: (file_path, status) where status is 'created', 'exists', or 'error'
"""
try:
name = inst.get('name', 'Unknown Institution')
institution_type = inst.get('institution_type', 'UNKNOWN')
# Extract location
country_code, region_code, city_code = extract_location_info(inst)
# Generate abbreviation
abbreviation = generate_abbreviation(name)
# Generate base GHCID
base_ghcid = generate_ghcid(country_code, region_code, city_code, institution_type, abbreviation)
# Check for collision
ghcid = base_ghcid
if ghcid in index['by_ghcid']:
# Add name suffix to resolve collision
name_suffix = name_to_snake_case(name)
ghcid = generate_ghcid(country_code, region_code, city_code, institution_type, abbreviation, name_suffix)
# Generate UUIDs
ghcid_uuid = generate_ghcid_uuid(ghcid)
ghcid_uuid_sha256 = generate_ghcid_uuid_sha256(ghcid)
ghcid_numeric = generate_ghcid_numeric(ghcid)
record_id = str(uuid.uuid4())
timestamp = datetime.now(timezone.utc).isoformat()
# Build custodian data structure
custodian_data = {
'original_entry': {
'name': name,
'institution_type': institution_type,
'source': f'CH-Annotator ({source_file})',
'identifiers': inst.get('identifiers', []),
'locations': inst.get('locations', []),
},
'processing_timestamp': timestamp,
'ghcid': {
'ghcid_current': ghcid,
'ghcid_original': ghcid,
'ghcid_uuid': ghcid_uuid,
'ghcid_uuid_sha256': ghcid_uuid_sha256,
'ghcid_numeric': ghcid_numeric,
'record_id': record_id,
'generation_timestamp': timestamp,
'location_resolution': {
'country_code': country_code,
'region_code': region_code,
'city_code': city_code,
'method': 'CH_ANNOTATOR_SOURCE',
},
'ghcid_history': [{
'ghcid': ghcid,
'ghcid_numeric': ghcid_numeric,
'valid_from': timestamp,
'reason': f'Initial GHCID from CH-Annotator ({source_file})',
}],
},
'custodian_name': {
'claim_type': 'custodian_name',
'claim_value': name,
'source_type': 'ch_annotator',
},
'identifiers': [
{'identifier_scheme': 'GHCID', 'identifier_value': ghcid},
{'identifier_scheme': 'GHCID_UUID', 'identifier_value': ghcid_uuid},
{'identifier_scheme': 'GHCID_UUID_SHA256', 'identifier_value': ghcid_uuid_sha256},
{'identifier_scheme': 'GHCID_NUMERIC', 'identifier_value': str(ghcid_numeric)},
{'identifier_scheme': 'RECORD_ID', 'identifier_value': record_id},
],
'provenance': {
'data_source': inst.get('provenance', {}).get('data_source', 'CH_ANNOTATOR'),
'data_tier': inst.get('provenance', {}).get('data_tier', 'TIER_3_CROWD_SOURCED'),
'extraction_date': inst.get('provenance', {}).get('extraction_date', timestamp),
'extraction_method': f'Created from CH-Annotator file: {source_file}',
'confidence_score': inst.get('provenance', {}).get('confidence_score', 0.8),
},
'ch_annotator': inst.get('ch_annotator', {}),
}
# Add original identifiers
for ident in inst.get('identifiers', []):
scheme = ident.get('identifier_scheme', '').upper()
if scheme not in ['GHCID', 'GHCID_UUID', 'GHCID_UUID_SHA256', 'GHCID_NUMERIC', 'RECORD_ID']:
custodian_data['identifiers'].append(ident)
# Add Wikidata enrichment if available
for ident in inst.get('identifiers', []):
if ident.get('identifier_scheme', '').upper() == 'WIKIDATA':
custodian_data['wikidata_enrichment'] = {
'wikidata_entity_id': ident.get('identifier_value', '').split('/')[-1],
'wikidata_label_en': name,
}
break
# Add integration note to ch_annotator
if 'ch_annotator' in custodian_data and custodian_data['ch_annotator']:
custodian_data['ch_annotator']['integration_note'] = {
'created_from': source_file,
'creation_date': timestamp,
'creation_method': 'create_custodian_from_ch_annotator.py',
}
# Create file
file_path = CUSTODIAN_DIR / f"{ghcid}.yaml"
with open(file_path, 'w', encoding='utf-8') as f:
yaml.dump(custodian_data, f, allow_unicode=True, default_flow_style=False, sort_keys=False, width=120)
# Update index
index['by_ghcid'][ghcid] = str(file_path)
if normalize_name(name):
index['by_name'][normalize_name(name)] = str(file_path)
return file_path, 'created'
except Exception as e:
return None, f'error: {e}'
def load_ch_annotator_file(path: Path) -> List[Dict]:
"""Load institutions from CH-Annotator file."""
with open(path, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
if isinstance(data, list):
return data
elif isinstance(data, dict):
return data.get('institutions', [])
return []
def main():
parser = argparse.ArgumentParser(description='Create custodian files from CH-Annotator data')
parser.add_argument('--dry-run', action='store_true', help='Preview without creating files')
parser.add_argument('--limit', type=int, default=0, help='Limit institutions per file (0=unlimited)')
parser.add_argument('--skip-large', action='store_true', help='Skip files with >5000 institutions')
args = parser.parse_args()
print("=" * 60)
print("Create Custodian Files from CH-Annotator Data")
print("=" * 60)
if args.dry_run:
print("DRY RUN MODE - No files will be created")
# Load index
print("\n1. Loading custodian index...")
index = load_custodian_index()
print(f" Indexed: {len(index.get('by_ghcid', {}))} GHCIDs, "
f"{len(index.get('by_wikidata', {}))} Wikidata, "
f"{len(index.get('by_name', {}))} names")
# Find CH-Annotator files
ch_files = sorted(CH_ANNOTATOR_DIR.glob("*_ch_annotator.yaml"))
print(f"\n2. Found {len(ch_files)} CH-Annotator files")
# Process files
total_stats = {
'processed': 0,
'created': 0,
'skipped_exists': 0,
'errors': 0,
'by_source': {},
}
for ch_file in ch_files:
print(f"\n--- {ch_file.name} ---")
try:
institutions = load_ch_annotator_file(ch_file)
print(f" Loaded {len(institutions)} institutions")
if args.skip_large and len(institutions) > 5000:
print(f" SKIPPING (>5000 institutions)")
continue
file_stats = {'processed': 0, 'created': 0, 'skipped': 0, 'errors': 0}
for i, inst in enumerate(institutions):
if args.limit and file_stats['processed'] >= args.limit:
print(f" Reached limit of {args.limit}")
break
if i % 500 == 0 and i > 0:
print(f" Progress: {i}/{len(institutions)}, created: {file_stats['created']}")
file_stats['processed'] += 1
total_stats['processed'] += 1
# Check if exists
if institution_exists(inst, index):
file_stats['skipped'] += 1
total_stats['skipped_exists'] += 1
continue
# Create file
if not args.dry_run:
path, status = create_custodian_file(inst, ch_file.name, index)
if status == 'created':
file_stats['created'] += 1
total_stats['created'] += 1
elif 'error' in status:
file_stats['errors'] += 1
total_stats['errors'] += 1
else:
file_stats['created'] += 1
total_stats['created'] += 1
print(f" Processed: {file_stats['processed']}, Created: {file_stats['created']}, "
f"Skipped: {file_stats['skipped']}, Errors: {file_stats['errors']}")
total_stats['by_source'][ch_file.name] = file_stats
except Exception as e:
print(f" ERROR: {e}")
total_stats['errors'] += 1
# Print summary
print("\n" + "=" * 60)
print("SUMMARY")
print("=" * 60)
print(f"Total processed: {total_stats['processed']}")
print(f"Files created: {total_stats['created']}")
print(f"Skipped (already exist): {total_stats['skipped_exists']}")
print(f"Errors: {total_stats['errors']}")
# Save report
if not args.dry_run:
REPORTS_DIR.mkdir(exist_ok=True)
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
report_path = REPORTS_DIR / f"CUSTODIAN_CREATION_REPORT_{timestamp}.md"
report = f"""# Custodian File Creation Report
Generated: {datetime.now(timezone.utc).isoformat()}
## Summary
| Metric | Count |
|--------|-------|
| Institutions processed | {total_stats['processed']} |
| Custodian files created | {total_stats['created']} |
| Skipped (already exist) | {total_stats['skipped_exists']} |
| Errors | {total_stats['errors']} |
## By Source File
| Source File | Processed | Created | Skipped | Errors |
|-------------|-----------|---------|---------|--------|
"""
for source, stats in total_stats['by_source'].items():
report += f"| {source} | {stats['processed']} | {stats['created']} | {stats['skipped']} | {stats['errors']} |\n"
with open(report_path, 'w') as f:
f.write(report)
print(f"\nReport saved to: {report_path}")
return 0
if __name__ == '__main__':
sys.exit(main())

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#!/usr/bin/env python3
"""
Enrich Austrian custodian files with city data.
Strategy:
1. Use coordinates for reverse geocoding when available
2. Extract city names from institution names (Wien, Salzburg, Graz, etc.)
3. Validate against GeoNames database
Usage:
python scripts/enrich_austrian_cities.py [--dry-run]
"""
import re
import sqlite3
import sys
import unicodedata
from datetime import datetime, timezone
from pathlib import Path
# Austrian admin1 codes (GeoNames → ISO 3166-2:AT)
AUSTRIAN_ADMIN1_MAP = {
'01': 'B', # Burgenland
'02': 'K', # Carinthia (Kärnten)
'03': 'NO', # Lower Austria (Niederösterreich)
'04': 'OO', # Upper Austria (Oberösterreich)
'05': 'S', # Salzburg
'06': 'ST', # Styria (Steiermark)
'07': 'T', # Tyrol (Tirol)
'08': 'V', # Vorarlberg
'09': 'W', # Vienna (Wien)
}
# Known Austrian cities in institution names
AUSTRIAN_CITY_PATTERNS = [
# Major cities
(r'\bWien\b', 'Wien'),
(r'\bVienna\b', 'Wien'),
(r'\bGraz\b', 'Graz'),
(r'\bLinz\b', 'Linz'),
(r'\bSalzburg\b', 'Salzburg'),
(r'\bInnsbruck\b', 'Innsbruck'),
(r'\bKlagenfurt\b', 'Klagenfurt'),
(r'\bVillach\b', 'Villach'),
(r'\bWels\b', 'Wels'),
(r'\bSt\.?\s*Pölten\b', 'Sankt Pölten'),
(r'\bSankt\s+Pölten\b', 'Sankt Pölten'),
(r'\bDornbirn\b', 'Dornbirn'),
(r'\bWiener\s+Neustadt\b', 'Wiener Neustadt'),
(r'\bSteyr\b', 'Steyr'),
(r'\bFeldkirch\b', 'Feldkirch'),
(r'\bBregenz\b', 'Bregenz'),
(r'\bLeonding\b', 'Leonding'),
(r'\bKlosterneuburg\b', 'Klosterneuburg'),
(r'\bBaden\b', 'Baden'),
(r'\bLeoben\b', 'Leoben'),
(r'\bKrems\b', 'Krems an der Donau'),
(r'\bAmstetten\b', 'Amstetten'),
(r'\bMödling\b', 'Mödling'),
(r'\bKapfenberg\b', 'Kapfenberg'),
(r'\bLustenau\b', 'Lustenau'),
(r'\bHallein\b', 'Hallein'),
(r'\bKufstein\b', 'Kufstein'),
(r'\bTraun\b', 'Traun'),
(r'\bAnsfelden\b', 'Ansfelden'),
(r'\bHohenems\b', 'Hohenems'),
(r'\bSchwechat\b', 'Schwechat'),
(r'\bBraunau\b', 'Braunau am Inn'),
(r'\bStockerau\b', 'Stockerau'),
(r'\bSaalfelden\b', 'Saalfelden am Steinernen Meer'),
(r'\bTernitz\b', 'Ternitz'),
(r'\bPerchtoldsdorf\b', 'Perchtoldsdorf'),
(r'\bEisenstädter?\b', 'Eisenstadt'),
(r'\bEisenstadt\b', 'Eisenstadt'),
(r'\bTelfs\b', 'Telfs'),
(r'\bWolfsberg\b', 'Wolfsberg'),
(r'\bHard\b', 'Hard'),
(r'\bKorneuburg\b', 'Korneuburg'),
(r'\bNeunkirchen\b', 'Neunkirchen'),
(r'\bRied\b', 'Ried im Innkreis'),
(r'\bBad\s+Ischl\b', 'Bad Ischl'),
(r'\bGmunden\b', 'Gmunden'),
(r'\bWörgl\b', 'Wörgl'),
(r'\bMelk\b', 'Melk'),
(r'\bZell\s+am\s+See\b', 'Zell am See'),
(r'\bMistelbach\b', 'Mistelbach'),
(r'\bVöcklabruck\b', 'Vöcklabruck'),
(r'\bMarchtrenk\b', 'Marchtrenk'),
(r'\bEnns\b', 'Enns'),
(r'\bBruck\s+an\s+der\s+Mur\b', 'Bruck an der Mur'),
(r'\bSpittal\b', 'Spittal an der Drau'),
(r'\bSchwaz\b', 'Schwaz'),
(r'\bVoitsberg\b', 'Voitsberg'),
(r'\bRankweil\b', 'Rankweil'),
(r'\bBad\s+Vöslau\b', 'Bad Vöslau'),
(r'\bTulln\b', 'Tulln an der Donau'),
(r'\bGänserndorf\b', 'Gänserndorf'),
(r'\bHollabrunn\b', 'Hollabrunn'),
(r'\bLienz\b', 'Lienz'),
(r'\bHall\s+in\s+Tirol\b', 'Hall in Tirol'),
(r'\bFeldkirchen\b', 'Feldkirchen in Kärnten'),
(r'\bZwettl\b', 'Zwettl'),
(r'\bWaidhofen\b', 'Waidhofen an der Ybbs'),
(r'\bMattersburg\b', 'Mattersburg'),
(r'\bOberwart\b', 'Oberwart'),
(r'\bJudenburg\b', 'Judenburg'),
(r'\bPöchlarn\b', 'Pöchlarn'),
(r'\bFranziskanerplatz\b', 'Wien'), # Common Vienna address
(r'\bJosefsplatz\b', 'Wien'), # Hofburg, Vienna
# Regional references → capital cities
(r'\bTiroler\b', 'Innsbruck'), # Amt der Tiroler Landesregierung
(r'\bBurgenländische\b', 'Eisenstadt'), # Burgenländische Landesbibliothek
(r'\bKärnt(?:en|ner)\b', 'Klagenfurt'), # Kärnten/Kärntner → Klagenfurt
(r'\bVorarlberg(?:er)?\b', 'Feldkirch'), # Vorarlberg
(r'\bSteiermark\b', 'Graz'), # Steiermark
(r'\bSteiermärk\b', 'Graz'), # Steiermärkisch
(r'\bOÖ\b', 'Linz'), # OÖ = Oberösterreich
(r'\bOberösterreich\b', 'Linz'), # Oberösterreich
(r'\bNiederösterreich\b', 'Sankt Pölten'), # Niederösterreich
(r'\bNÖ\b', 'Sankt Pölten'), # NÖ = Niederösterreich
(r'\bSalzburg(?:er)?\b', 'Salzburg'), # Salzburger Festspiele
# Small towns mentioned in institution names
(r'\bKaltenleutgeben\b', 'Kaltenleutgeben'),
(r'\bLambach\b', 'Lambach'),
(r'\bSeitenstetten\b', 'Seitenstetten'),
(r'\bMattsee\b', 'Mattsee'),
(r'\bPöggstall\b', 'Pöggstall'),
(r'\bLaxenburg\b', 'Laxenburg'),
(r'\bEggenburg\b', 'Eggenburg'),
(r'\bPressbaum\b', 'Pressbaum'),
(r'\bSeeburg\b', 'Seekirchen am Wallersee'), # Schloss Seeburg
(r'\bSchotten(?:stift)?\b', 'Wien'), # Schottenstift is in Vienna
(r'\bAlbertina\b', 'Wien'), # Albertina is in Vienna
(r'\bMozarteum\b', 'Salzburg'), # Mozarteum is in Salzburg
(r'\bParacelsus\b', 'Salzburg'), # Paracelsus Medizinische Privatuniversität
(r'\bJoanneum\b', 'Graz'), # FH Joanneum is in Graz
(r'\bParlament\b', 'Wien'), # Parlamentsbibliothek
(r'\bBundeskanzleramt\b', 'Wien'), # Federal Chancellery
(r'\bBundesministerium\b', 'Wien'), # Federal Ministries
(r'\bBundesdenkmalamt\b', 'Wien'), # Federal Monument Office
(r'\bÖsterreich(?:ische[rn]?)?\b', 'Wien'), # Austrian national institutions
(r'\bIST\s*Austria\b', 'Klosterneuburg'), # Institute of Science and Technology Austria
(r'\bInstitute\s+of\s+Science\s+and\s+Technology\s+Austria\b', 'Klosterneuburg'), # Full name
(r'\bRapid(?:eum)?\b', 'Wien'), # SK Rapid Vienna
(r'\bMetalab\b', 'Wien'), # Metalab hackerspace Vienna
(r'\bSigmund\s+Freud\b', 'Wien'), # Sigmund Freud museum Vienna
(r'\bMax\s+Perutz\b', 'Wien'), # Max Perutz Library (Vienna Biocenter)
# Additional specific institutions
(r'\bAnton\s+Bruckner\b', 'Linz'), # Anton Bruckner Private University
(r'\bbifeb\b', 'Strobl'), # Bundesinstitut für Erwachsenenbildung
(r'\bBundesinstitut\s+für\s+Erwachsenenbildung\b', 'Strobl'),
(r'\bZeitgenossen\b', 'Krems an der Donau'), # Archiv der Zeitgenossen
(r'\bCompass[-\s]Verlag\b', 'Wien'), # Compass-Verlag
(r'\bErnst\s+Krenek\b', 'Krems an der Donau'), # Ernst Krenek Institut
(r'\bFrauensolidarität\b', 'Wien'), # Frauensolidarität
(r'\bGeoSphere\b', 'Wien'), # GeoSphere Austria
(r'\bHochschule\s+Burgenland\b', 'Eisenstadt'), # FH Burgenland
(r'\bAgrar[-\s]und\s+Umweltpädagogik\b', 'Wien'), # Hochschule für Agrar
(r'\bHochschule\s+für\s+Agrar\b', 'Wien'), # Hochschule für Agrar (full)
(r'\bHöhere\s+Studien\b', 'Wien'), # IHS
(r'\bInterdisciplinary\s+Transformation\b', 'Wien'), # ITU
(r'\bJAM\s+Music\s+Lab\b', 'Wien'), # JAM Music Lab
(r'\bKDZ\b', 'Wien'), # KDZ Zentrum
(r'\bNew\s+Design\s+University\b', 'Sankt Pölten'), # NDU
(r'\bPädagogische\s+Hochschule\s+Tirol\b', 'Innsbruck'), # PH Tirol
(r'\bPädagogische\s+Hochschule\s+Burgenland\b', 'Eisenstadt'), # PPH Burgenland
(r'\bShared\s+Archiving\b', 'Wien'), # SAA
(r'\bVerbund\s+für\s+Bildung\b', 'Wien'), # VBKV
(r'\bVilla\s+North\b', 'Wien'), # Villa North
(r'\bInformationswissenschaft\b', 'Graz'), # VFI
(r'\bErinnerungskultur\b', 'Villach'), # ZEG is in Villach, not Graz
(r'\bParlament(?:s)?(?:direktion|bibliothek)?\b', 'Wien'), # Parlamentsbibliothek
]
def load_source_data(source_file: str) -> dict:
"""Load Austrian source data with coordinates and ISIL codes."""
import yaml
with open(source_file, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
lookup = {}
for inst in data.get('institutions', []):
# Get ISIL code
isil = None
for ident in inst.get('identifiers', []):
if ident.get('identifier_scheme') == 'ISIL':
isil = ident.get('identifier_value')
break
if isil:
locs = inst.get('locations', [])
coords = None
if locs and locs[0].get('latitude') and locs[0].get('longitude'):
coords = (locs[0]['latitude'], locs[0]['longitude'])
lookup[isil] = {
'name': inst.get('name', ''),
'coords': coords,
}
return lookup
def extract_city_from_name(name: str) -> str | None:
"""Extract city name from Austrian institution name."""
for pattern, city in AUSTRIAN_CITY_PATTERNS:
if re.search(pattern, name, re.IGNORECASE):
return city
return None
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
clean = re.sub(r'[^a-zA-Z\s-]', '', ascii_name)
words = clean.split()
if len(words) == 1:
return words[0][:3].upper()
else:
if len(words) == 2:
return (words[0][0] + words[1][:2]).upper()
else:
return ''.join(w[0] for w in words[:3]).upper()
def reverse_geocode(lat: float, lon: float, conn: sqlite3.Connection) -> dict | None:
"""Reverse geocode coordinates to find nearest Austrian city."""
cursor = conn.cursor()
cursor.execute('''
SELECT name, ascii_name, admin1_code, admin1_name, latitude, longitude, geonames_id, population, feature_code,
((latitude - ?) * (latitude - ?) + (longitude - ?) * (longitude - ?)) as distance_sq
FROM cities
WHERE country_code = 'AT'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
ORDER BY distance_sq
LIMIT 1
''', (lat, lat, lon, lon))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'latitude': row[4],
'longitude': row[5],
'geonames_id': row[6],
'population': row[7],
'feature_code': row[8],
}
return None
def lookup_city_in_geonames(city_name: str, conn: sqlite3.Connection) -> dict | None:
"""Look up city in GeoNames database."""
cursor = conn.cursor()
# Try exact match
cursor.execute('''
SELECT name, ascii_name, admin1_code, admin1_name, latitude, longitude, geonames_id, population, feature_code
FROM cities
WHERE country_code = 'AT'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) = LOWER(?) OR LOWER(ascii_name) = LOWER(?))
ORDER BY population DESC
LIMIT 1
''', (city_name, city_name))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'latitude': row[4],
'longitude': row[5],
'geonames_id': row[6],
'population': row[7],
'feature_code': row[8],
}
# Try fuzzy match
cursor.execute('''
SELECT name, ascii_name, admin1_code, admin1_name, latitude, longitude, geonames_id, population, feature_code
FROM cities
WHERE country_code = 'AT'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) LIKE LOWER(?) OR LOWER(ascii_name) LIKE LOWER(?))
ORDER BY population DESC
LIMIT 1
''', (f'{city_name}%', f'{city_name}%'))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'latitude': row[4],
'longitude': row[5],
'geonames_id': row[6],
'population': row[7],
'feature_code': row[8],
}
return None
def update_custodian_file(file_path: Path, city_name: str, geo_data: dict, method: str, dry_run: bool = False) -> bool:
"""Update a custodian file with city data."""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
ghcid_match = re.search(r'ghcid_current:\s*(\S+)', content)
if not ghcid_match:
return False
old_ghcid = ghcid_match.group(1)
region_code = AUSTRIAN_ADMIN1_MAP.get(geo_data['admin1_code'], geo_data['admin1_code'])
city_code = generate_city_code(geo_data['ascii_name'] or geo_data['name'])
parts = old_ghcid.split('-')
if len(parts) >= 5:
type_code = parts[3]
abbrev_and_suffix = '-'.join(parts[4:])
new_ghcid = f"AT-{region_code}-{city_code}-{type_code}-{abbrev_and_suffix}"
else:
return False
if old_ghcid == new_ghcid:
return False
old_filename = file_path.name
new_filename = old_filename.replace(old_ghcid, new_ghcid)
new_file_path = file_path.parent / new_filename
new_content = content.replace(old_ghcid, new_ghcid)
old_resolution = re.search(r'location_resolution:\s*\n((?:\s+\S.*\n)*)', new_content)
if old_resolution:
new_resolution = f"""location_resolution:
country_code: AT
region_code: {region_code}
region_name: {geo_data['admin1_name']}
city_code: {city_code}
city_name: {geo_data['name']}
geonames_id: {geo_data['geonames_id']}
feature_code: {geo_data['feature_code']}
latitude: {geo_data['latitude']}
longitude: {geo_data['longitude']}
method: {method}
resolution_date: '{datetime.now(timezone.utc).isoformat()}'
"""
new_content = new_content[:old_resolution.start()] + new_resolution + new_content[old_resolution.end():]
timestamp = datetime.now(timezone.utc).isoformat()
history_entry = f""" - ghcid: {new_ghcid}
valid_from: '{timestamp}'
reason: City enrichment from {method} - {city_name} resolved to {geo_data['name']} ({region_code})
"""
history_match = re.search(r'ghcid_history:\s*\n', new_content)
if history_match:
insert_pos = history_match.end()
new_content = new_content[:insert_pos] + history_entry + new_content[insert_pos:]
if dry_run:
print(f" DRY RUN: {old_filename} -> {new_filename}")
return True
with open(file_path, 'w', encoding='utf-8') as f:
f.write(new_content)
if new_file_path != file_path:
file_path.rename(new_file_path)
return True
def main():
dry_run = '--dry-run' in sys.argv
base_dir = Path(__file__).parent.parent
custodian_dir = base_dir / 'data' / 'custodian'
source_file = base_dir / 'data' / 'instances' / 'austria_complete_ch_annotator.yaml'
geonames_db = base_dir / 'data' / 'reference' / 'geonames.db'
print("Austrian City Enrichment Script")
print("=" * 50)
if dry_run:
print("DRY RUN MODE")
# Load source data
print(f"\nLoading source data from {source_file.name}...")
source_lookup = load_source_data(str(source_file))
print(f" Found {len(source_lookup)} ISIL entries")
coords_count = sum(1 for v in source_lookup.values() if v['coords'])
print(f" {coords_count} entries have coordinates")
conn = sqlite3.connect(str(geonames_db))
print(f"\nFinding Austrian XXX files...")
xxx_files = list(custodian_dir.glob('AT-*-XXX-*.yaml'))
print(f" Found {len(xxx_files)} files")
updated = 0
by_coords = 0
by_name = 0
no_city = 0
no_geonames = 0
errors = 0
for file_path in xxx_files:
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Find ISIL code
isil_match = re.search(r'identifier_value:\s*(AT-\w+)', content)
isil_code = isil_match.group(1) if isil_match else None
# Get institution name
name_match = re.search(r'claim_value:\s*(.+)', content)
inst_name = name_match.group(1).strip() if name_match else ''
geo_data = None
method = None
city_name = None
# Strategy 1: Use coordinates for reverse geocoding
if isil_code and isil_code in source_lookup:
source_data = source_lookup[isil_code]
if source_data['coords']:
lat, lon = source_data['coords']
geo_data = reverse_geocode(lat, lon, conn)
if geo_data:
method = 'REVERSE_GEOCODE'
city_name = geo_data['name']
by_coords += 1
# Strategy 2: Extract city from institution name
if not geo_data:
city_name = extract_city_from_name(inst_name)
if city_name:
geo_data = lookup_city_in_geonames(city_name, conn)
if geo_data:
method = 'NAME_EXTRACTION'
by_name += 1
if not geo_data:
no_city += 1
continue
if update_custodian_file(file_path, city_name, geo_data, method, dry_run):
updated += 1
if not dry_run:
print(f" Updated: {file_path.name} -> {city_name} ({method})")
except Exception as e:
errors += 1
print(f" ERROR: {file_path.name}: {e}")
conn.close()
print("\n" + "=" * 50)
print("SUMMARY")
print("=" * 50)
print(f"Total XXX files: {len(xxx_files)}")
print(f"Updated: {updated}")
print(f" By coordinates: {by_coords}")
print(f" By name extraction: {by_name}")
print(f"No city found: {no_city}")
print(f"Errors: {errors}")
print(f"Remaining XXX: {len(xxx_files) - updated}")
# Generate report
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
report_path = base_dir / 'reports' / f'AUSTRIAN_CITY_ENRICHMENT_{timestamp}.md'
with open(report_path, 'w') as f:
f.write(f"# Austrian City Enrichment Report\n\n")
f.write(f"**Date**: {datetime.now().isoformat()}\n")
f.write(f"**Dry Run**: {dry_run}\n\n")
f.write(f"## Summary\n\n")
f.write(f"| Metric | Count |\n")
f.write(f"|--------|-------|\n")
f.write(f"| Total XXX files | {len(xxx_files)} |\n")
f.write(f"| Updated | {updated} |\n")
f.write(f"| By coordinates | {by_coords} |\n")
f.write(f"| By name extraction | {by_name} |\n")
f.write(f"| No city found | {no_city} |\n")
f.write(f"| Errors | {errors} |\n")
f.write(f"| Remaining XXX | {len(xxx_files) - updated} |\n")
print(f"\nReport: {report_path}")
if __name__ == '__main__':
main()

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scripts/enrich_belgian_cities.py Normal file
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#!/usr/bin/env python3
"""
Enrich Belgian custodian files with city data from ISIL registry.
Strategy:
1. First try to get city from enriched source file (fast)
2. If not found, scrape the Belgian ISIL website (slow, 1 req/sec)
Usage:
python scripts/enrich_belgian_cities.py [--dry-run]
"""
import os
import re
import sqlite3
import sys
import time
import urllib.request
from datetime import datetime, timezone
from pathlib import Path
# Belgian admin1 codes (GeoNames uses BRU, VLG, WAL)
BELGIAN_ADMIN1_MAP = {
'BRU': 'BRU', # Brussels Capital Region
'VLG': 'VLG', # Flanders (Vlaanderen)
'WAL': 'WAL', # Wallonia (Wallonië)
}
# Belgian city name aliases (Dutch/French variants)
BELGIAN_CITY_ALIASES = {
'Brussel': 'Brussels',
'Bruxelles': 'Brussels',
'Antwerpen': 'Antwerpen',
'Anvers': 'Antwerpen',
'Gent': 'Gent',
'Gand': 'Gent',
'Luik': 'Liège',
'Liege': 'Liège',
'Bergen': 'Mons',
'Namen': 'Namur',
'Mechelen': 'Mechelen',
'Malines': 'Mechelen',
'Leuven': 'Leuven',
'Louvain': 'Leuven',
'Elsene': 'Ixelles',
'Ukkel': 'Uccle',
'Oudergem': 'Auderghem',
'Watermaal-Bosvoorde': 'Watermael-Boitsfort',
'Sint-Gillis': 'Saint-Gilles',
'Sint-Jans-Molenbeek': 'Molenbeek-Saint-Jean',
'Schaarbeek': 'Schaerbeek',
'Etterbeek': 'Etterbeek',
'Vorst': 'Forest',
'Anderlecht': 'Anderlecht',
'Jette': 'Jette',
'Koekelberg': 'Koekelberg',
'Evere': 'Evere',
'Sint-Pieters-Woluwe': 'Woluwe-Saint-Pierre',
'Sint-Lambrechts-Woluwe': 'Woluwe-Saint-Lambert',
'Ganshoren': 'Ganshoren',
}
def load_isil_city_lookup(enriched_file: str) -> dict:
"""Load ISIL -> city mapping from enriched Belgian ISIL file."""
with open(enriched_file, 'r', encoding='utf-8') as f:
content = f.read()
# Split by 'id:' at start of line
entries = re.split(r'\n(?=id: BE-)', content)
lookup = {}
for entry in entries[1:]: # Skip header
# Extract ISIL
isil_match = re.search(r'^id: (BE-\w+)', entry)
if not isil_match:
continue
isil = isil_match.group(1)
# Extract city from locations section
city_match = re.search(r'locations:\s*\n-\s*city:\s*(\S.*)', entry)
if city_match:
city = city_match.group(1).strip()
lookup[isil] = city
return lookup
def load_isil_source_urls(enriched_file: str) -> dict:
"""Load ISIL -> source_url mapping for web scraping fallback."""
with open(enriched_file, 'r', encoding='utf-8') as f:
content = f.read()
entries = re.split(r'\n(?=id: BE-)', content)
lookup = {}
for entry in entries[1:]:
isil_match = re.search(r'^id: (BE-\w+)', entry)
url_match = re.search(r'source_url:\s*(https://isil\.kbr\.be/\S+)', entry)
if isil_match and url_match:
lookup[isil_match.group(1)] = url_match.group(1)
return lookup
def scrape_city_from_isil_website(url: str) -> str | None:
"""Scrape city from Belgian ISIL website."""
try:
req = urllib.request.Request(url, headers={'User-Agent': 'GLAM-Enricher/1.0'})
with urllib.request.urlopen(req, timeout=10) as response:
html = response.read().decode('utf-8')
# Look for address pattern: "Street, POSTCODE City"
# Belgian postal codes are 4 digits
address_match = re.search(r'Walk up adress.*?<td class="output"[^>]*>([^<]+)</td>', html, re.DOTALL | re.IGNORECASE)
if address_match:
address = address_match.group(1)
# Parse city from address: "Veldstraat 53, 9910 Knesselare"
city_match = re.search(r',\s*(\d{4})\s+([A-Za-zÀ-ÿ\s\-\']+)', address)
if city_match:
city = city_match.group(2).strip()
# Clean up trailing HTML entities
city = re.sub(r'&\w+;.*$', '', city).strip()
return city
return None
except Exception as e:
print(f" Error scraping {url}: {e}")
return None
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
import unicodedata
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Clean up
clean = re.sub(r'[^a-zA-Z\s-]', '', ascii_name)
words = clean.split()
if len(words) == 1:
return words[0][:3].upper()
else:
if len(words) == 2:
return (words[0][0] + words[1][:2]).upper()
else:
return ''.join(w[0] for w in words[:3]).upper()
def lookup_city_in_geonames(city_name: str, conn: sqlite3.Connection) -> dict | None:
"""Look up city in GeoNames database."""
cursor = conn.cursor()
# Check aliases first
normalized_name = BELGIAN_CITY_ALIASES.get(city_name, city_name)
# Try exact match first
cursor.execute('''
SELECT name, ascii_name, admin1_code, admin1_name, latitude, longitude, geonames_id, population, feature_code
FROM cities
WHERE country_code = 'BE'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) = LOWER(?) OR LOWER(ascii_name) = LOWER(?))
ORDER BY population DESC
LIMIT 1
''', (normalized_name, normalized_name))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'latitude': row[4],
'longitude': row[5],
'geonames_id': row[6],
'population': row[7],
'feature_code': row[8],
}
# Try original name if alias was used
if normalized_name != city_name:
cursor.execute('''
SELECT name, ascii_name, admin1_code, admin1_name, latitude, longitude, geonames_id, population, feature_code
FROM cities
WHERE country_code = 'BE'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) = LOWER(?) OR LOWER(ascii_name) = LOWER(?))
ORDER BY population DESC
LIMIT 1
''', (city_name, city_name))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'latitude': row[4],
'longitude': row[5],
'geonames_id': row[6],
'population': row[7],
'feature_code': row[8],
}
# Try fuzzy match with LIKE
cursor.execute('''
SELECT name, ascii_name, admin1_code, admin1_name, latitude, longitude, geonames_id, population, feature_code
FROM cities
WHERE country_code = 'BE'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) LIKE LOWER(?) OR LOWER(ascii_name) LIKE LOWER(?))
ORDER BY population DESC
LIMIT 1
''', (f'{city_name}%', f'{city_name}%'))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'latitude': row[4],
'longitude': row[5],
'geonames_id': row[6],
'population': row[7],
'feature_code': row[8],
}
return None
def update_custodian_file(file_path: Path, city_name: str, geo_data: dict, dry_run: bool = False) -> bool:
"""Update a custodian file with city data."""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Extract current GHCID
ghcid_match = re.search(r'ghcid_current:\s*(\S+)', content)
if not ghcid_match:
print(f" WARNING: No ghcid_current found in {file_path.name}")
return False
old_ghcid = ghcid_match.group(1)
# Generate new GHCID components
region_code = BELGIAN_ADMIN1_MAP.get(geo_data['admin1_code'], geo_data['admin1_code'])
city_code = generate_city_code(geo_data['ascii_name'] or geo_data['name'])
# Build new GHCID: BE-XX-XXX-{type}-{abbrev}[-suffix]
parts = old_ghcid.split('-')
if len(parts) >= 5:
type_code = parts[3]
abbrev_and_suffix = '-'.join(parts[4:])
new_ghcid = f"BE-{region_code}-{city_code}-{type_code}-{abbrev_and_suffix}"
else:
print(f" WARNING: Unexpected GHCID format: {old_ghcid}")
return False
if old_ghcid == new_ghcid:
return False
# Calculate new filename
old_filename = file_path.name
new_filename = old_filename.replace(old_ghcid, new_ghcid)
new_file_path = file_path.parent / new_filename
# Update content
new_content = content.replace(old_ghcid, new_ghcid)
# Update location_resolution section
old_resolution = re.search(
r'location_resolution:\s*\n((?:\s+\S.*\n)*)',
new_content
)
if old_resolution:
new_resolution = f"""location_resolution:
country_code: BE
region_code: {region_code}
region_name: {geo_data['admin1_name']}
city_code: {city_code}
city_name: {geo_data['name']}
geonames_id: {geo_data['geonames_id']}
feature_code: {geo_data['feature_code']}
latitude: {geo_data['latitude']}
longitude: {geo_data['longitude']}
method: BELGIAN_ISIL_REGISTRY
resolution_date: '{datetime.now(timezone.utc).isoformat()}'
"""
new_content = new_content[:old_resolution.start()] + new_resolution + new_content[old_resolution.end():]
# Add GHCID history entry
timestamp = datetime.now(timezone.utc).isoformat()
history_entry = f""" - ghcid: {new_ghcid}
valid_from: '{timestamp}'
reason: City enrichment from Belgian ISIL registry - {city_name} resolved to {geo_data['name']} ({region_code})
"""
history_match = re.search(r'ghcid_history:\s*\n', new_content)
if history_match:
insert_pos = history_match.end()
new_content = new_content[:insert_pos] + history_entry + new_content[insert_pos:]
if dry_run:
print(f" DRY RUN: Would rename {old_filename} -> {new_filename}")
print(f" GHCID: {old_ghcid} -> {new_ghcid}")
return True
# Write updated content
with open(file_path, 'w', encoding='utf-8') as f:
f.write(new_content)
# Rename file
if new_file_path != file_path:
file_path.rename(new_file_path)
return True
def main():
dry_run = '--dry-run' in sys.argv
# Paths
base_dir = Path(__file__).parent.parent
custodian_dir = base_dir / 'data' / 'custodian'
enriched_file = base_dir / 'data' / 'instances' / 'belgium_isil_institutions_enriched.yaml'
geonames_db = base_dir / 'data' / 'reference' / 'geonames.db'
print("Belgian City Enrichment Script")
print("=" * 50)
if dry_run:
print("DRY RUN MODE - No changes will be made")
# Load lookups
print(f"\nLoading ISIL city lookup from {enriched_file.name}...")
isil_city_lookup = load_isil_city_lookup(str(enriched_file))
isil_url_lookup = load_isil_source_urls(str(enriched_file))
print(f" Found {len(isil_city_lookup)} ISIL codes with city data")
print(f" Found {len(isil_url_lookup)} ISIL codes with source URLs")
# Connect to GeoNames
print(f"\nConnecting to GeoNames database...")
conn = sqlite3.connect(str(geonames_db))
# Find Belgian XXX files
print(f"\nFinding Belgian custodian files with XXX placeholder...")
xxx_files = list(custodian_dir.glob('BE-*-XXX-*.yaml'))
print(f" Found {len(xxx_files)} files to process")
# Process files
updated = 0
no_isil = 0
no_city = 0
no_geonames = 0
scraped = 0
errors = 0
not_found_cities = []
for file_path in xxx_files:
try:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Find ISIL code
isil_match = re.search(r'identifier_value:\s*(BE-\w+)', content)
if not isil_match:
no_isil += 1
continue
isil_code = isil_match.group(1)
# Strategy 1: Look up city from enriched file
city_name = isil_city_lookup.get(isil_code)
# Strategy 2: Scrape from website if not in lookup
if not city_name and isil_code in isil_url_lookup:
url = isil_url_lookup[isil_code]
print(f" Scraping {isil_code} from {url}...")
city_name = scrape_city_from_isil_website(url)
if city_name:
scraped += 1
print(f" Found: {city_name}")
time.sleep(1) # Rate limit
if not city_name:
no_city += 1
continue
# Look up in GeoNames
geo_data = lookup_city_in_geonames(city_name, conn)
if not geo_data:
no_geonames += 1
not_found_cities.append((file_path.name, isil_code, city_name))
continue
# Update file
if update_custodian_file(file_path, city_name, geo_data, dry_run):
updated += 1
if not dry_run:
print(f" Updated: {file_path.name} -> {city_name} ({geo_data['admin1_code']})")
except Exception as e:
errors += 1
print(f" ERROR processing {file_path.name}: {e}")
conn.close()
# Summary
print("\n" + "=" * 50)
print("SUMMARY")
print("=" * 50)
print(f"Total XXX files: {len(xxx_files)}")
print(f"Updated: {updated}")
print(f"Scraped from website: {scraped}")
print(f"No ISIL in file: {no_isil}")
print(f"No city found: {no_city}")
print(f"City not in GeoNames: {no_geonames}")
print(f"Errors: {errors}")
print(f"Remaining XXX: {len(xxx_files) - updated}")
if not_found_cities:
print(f"\nCities not found in GeoNames:")
for fname, isil, city in not_found_cities[:20]:
print(f" {isil}: {city}")
if len(not_found_cities) > 20:
print(f" ... and {len(not_found_cities) - 20} more")
# Generate report
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
report_path = base_dir / 'reports' / f'BELGIAN_CITY_ENRICHMENT_{timestamp}.md'
with open(report_path, 'w') as f:
f.write(f"# Belgian City Enrichment Report\n\n")
f.write(f"**Date**: {datetime.now().isoformat()}\n")
f.write(f"**Dry Run**: {dry_run}\n\n")
f.write(f"## Summary\n\n")
f.write(f"| Metric | Count |\n")
f.write(f"|--------|-------|\n")
f.write(f"| Total XXX files | {len(xxx_files)} |\n")
f.write(f"| Updated | {updated} |\n")
f.write(f"| Scraped from website | {scraped} |\n")
f.write(f"| No ISIL in file | {no_isil} |\n")
f.write(f"| No city found | {no_city} |\n")
f.write(f"| City not in GeoNames | {no_geonames} |\n")
f.write(f"| Errors | {errors} |\n")
f.write(f"| Remaining XXX | {len(xxx_files) - updated} |\n")
if not_found_cities:
f.write(f"\n## Cities Not Found in GeoNames\n\n")
f.write(f"| File | ISIL | City |\n")
f.write(f"|------|------|------|\n")
for fname, isil, city in not_found_cities:
f.write(f"| {fname} | {isil} | {city} |\n")
print(f"\nReport written to: {report_path}")
if __name__ == '__main__':
main()

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scripts/enrich_belgian_v2.py Normal file
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#!/usr/bin/env python3
"""
Belgian city enrichment v2 - with city name aliases.
"""
import re
import sqlite3
import unicodedata
from datetime import datetime, timezone
from pathlib import Path
# Belgian city aliases (Dutch names → GeoNames names)
BELGIAN_CITY_ALIASES = {
'sint-lambrechts-woluwe': 'Woluwe-Saint-Lambert',
'sint-pieters-woluwe': 'Woluwe-Saint-Pierre',
'sint-stevens-woluwe': 'Sint-Stevens-Woluwe',
'oostende': 'Ostend',
'gent': 'Gent',
'brugge': 'Brugge',
'brussel': 'Brussels',
'antwerpen': 'Antwerpen',
'luik': 'Liège',
'liège': 'Liège',
'leuven': 'Leuven',
'mechelen': 'Mechelen',
'aalst': 'Aalst',
'hasselt': 'Hasselt',
'kortrijk': 'Kortrijk',
'sint-niklaas': 'Sint-Niklaas',
'genk': 'Genk',
'roeselare': 'Roeselare',
# Merged municipalities (2019)
'kluisbergen': 'Kluisbergen',
'lievegem': 'Nevele', # Lievegem was created from Nevele, Waarschoot, Zomergem, Lovendegem
'kruisem': 'Kruishoutem', # Kruisem was created from Kruishoutem and Zingem
'lierde': 'Sint-Maria-Lierde',
'maarkedal': 'Etikhove', # Maarkedal includes Etikhove
# Other
'de haan': 'De Haan',
'lint': 'Lint',
'herne': 'Herne',
}
# Belgian admin1 mapping (GeoNames → ISO 3166-2:BE)
BELGIAN_ADMIN1_MAP = {
'Brussels Capital': 'BRU',
'Brussels': 'BRU',
'Flanders': 'VLG',
'Wallonia': 'WAL',
}
def normalize_city_name(name):
"""Normalize city name for lookup."""
if not name:
return None
normalized = unicodedata.normalize('NFD', name.lower())
normalized = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
return normalized.strip()
def lookup_city(city_name, conn):
"""Look up city in GeoNames with alias support."""
if not city_name:
return None
normalized = normalize_city_name(city_name)
# Check alias first
if normalized in BELGIAN_CITY_ALIASES:
lookup_name = BELGIAN_CITY_ALIASES[normalized]
else:
lookup_name = city_name
cursor = conn.cursor()
# Try exact match
cursor.execute("""
SELECT name, ascii_name, admin1_name, latitude, longitude, geonames_id, population
FROM cities
WHERE country_code='BE' AND (LOWER(name)=LOWER(?) OR LOWER(ascii_name)=LOWER(?))
ORDER BY population DESC LIMIT 1
""", (lookup_name, lookup_name))
result = cursor.fetchone()
if result:
return {
'name': result[0],
'ascii_name': result[1],
'admin1_name': result[2],
'latitude': result[3],
'longitude': result[4],
'geonames_id': result[5],
'population': result[6],
}
# Try partial match
cursor.execute("""
SELECT name, ascii_name, admin1_name, latitude, longitude, geonames_id, population
FROM cities
WHERE country_code='BE' AND (name LIKE ? OR ascii_name LIKE ?)
ORDER BY population DESC LIMIT 1
""", (f"%{lookup_name}%", f"%{lookup_name}%"))
result = cursor.fetchone()
if result:
return {
'name': result[0],
'ascii_name': result[1],
'admin1_name': result[2],
'latitude': result[3],
'longitude': result[4],
'geonames_id': result[5],
'population': result[6],
}
return None
def generate_city_code(city_name):
"""Generate 3-letter city code."""
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
clean = re.sub(r'[^a-zA-Z\s-]', '', ascii_name)
words = clean.split()
articles = {'de', 'het', 'le', 'la', 'les', 'den', 'der', 'des'}
if len(words) == 1:
return clean[:3].upper()
elif words[0].lower() in articles:
return (words[0][0] + words[1][:2]).upper()
else:
return ''.join(w[0] for w in words[:3]).upper()
def main():
base_dir = Path(__file__).parent.parent
custodian_dir = base_dir / 'data' / 'custodian'
geonames_db = base_dir / 'data' / 'reference' / 'geonames.db'
print("Belgian City Enrichment v2")
print("=" * 50)
conn = sqlite3.connect(str(geonames_db))
# Find Belgian XXX files
xxx_files = list(custodian_dir.glob('BE-*-XXX-*.yaml'))
print(f"Found {len(xxx_files)} Belgian XXX files")
updated = 0
not_found = []
for file_path in xxx_files:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Get institution name
name_match = re.search(r'claim_value:\s*(.+)', content)
inst_name = name_match.group(1).strip() if name_match else ''
# Try to extract city from filename or name
# Belgian cities often in the file details - let's look at the log
# The scraper was finding cities from ISIL website
# Check if there's city info in the file already
city_match = re.search(r'city(?:_name)?:\s*([^\n]+)', content)
if city_match:
city_name = city_match.group(1).strip().strip('"\'')
if city_name and city_name != 'XXX':
geo_data = lookup_city(city_name, conn)
if geo_data:
print(f"✓ {file_path.name}: {city_name} → {geo_data['name']}")
updated += 1
# Would update file here
else:
not_found.append((file_path.name, city_name))
print(f"\nUpdated: {updated}")
print(f"Not found: {len(not_found)}")
if not_found:
print("\nCities not found:")
for fname, city in not_found[:20]:
print(f" {fname}: {city}")
conn.close()
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Enrich Bulgarian custodian files with proper city codes from GeoNames.
Maps Cyrillic city names to ASCII equivalents and resolves admin1 regions.
"""
import os
import re
import sqlite3
from pathlib import Path
from datetime import datetime, timezone
import yaml
# Bulgarian Cyrillic to ASCII city name mapping
# Based on standard transliteration
CYRILLIC_TO_ASCII = {
# Major cities found in XXX files
'Самоков': 'Samokov',
'Асеновград': 'Asenovgrad',
'Казанлък': 'Kazanlak',
'Карлово': 'Karlovo',
'Котел': 'Kotel',
'Димитровград': 'Dimitrovgrad',
'Исперих': 'Isperih',
'Панагюрище': 'Panagyurishte',
'Раднево': 'Radnevo',
'Белица': 'Belitsa',
'Гоце Делчев': 'Gotse Delchev',
'Горна Оряховица': 'Gorna Oryahovitsa',
'Якоруда': 'Yakoruda',
'Хаджидимово': 'Hadzhidimovo',
'Генерал Тодоров': 'General Todorov',
'Черноморец': 'Chernomorets',
'Плоски': 'Ploski',
'Плетена': 'Pletena',
'Дюлево': 'Dyulevo',
'Левуново': 'Levunovo',
'Гълъбово': 'Galabovo',
'Абланица': 'Ablanitsa',
# Additional common cities
'София': 'Sofia',
'Пловдив': 'Plovdiv',
'Варна': 'Varna',
'Бургас': 'Burgas',
'Русе': 'Ruse',
'Стара Загора': 'Stara Zagora',
'Плевен': 'Pleven',
'Сливен': 'Sliven',
'Добрич': 'Dobrich',
'Шумен': 'Shumen',
'Перник': 'Pernik',
'Хасково': 'Haskovo',
'Благоевград': 'Blagoevgrad',
'Велико Търново': 'Veliko Tarnovo',
'Враца': 'Vratsa',
'Габрово': 'Gabrovo',
'Пазарджик': 'Pazardzhik',
'Ямбол': 'Yambol',
'Кърджали': 'Kardzhali',
'Монтана': 'Montana',
'Разград': 'Razgrad',
'Силистра': 'Silistra',
'Смолян': 'Smolyan',
'Търговище': 'Targovishte',
'Кюстендил': 'Kyustendil',
'Ловеч': 'Lovech',
'Видин': 'Vidin',
}
# Bulgarian admin1 GeoNames code to ISO 3166-2:BG mapping
ADMIN1_TO_ISO = {
'38': 'BLG', # Blagoevgrad
'39': 'BGS', # Burgas
'40': 'DOB', # Dobrich
'41': 'GAB', # Gabrovo
'42': 'SOF', # Sofia-Capital (also SFO for city)
'43': 'KHO', # Haskovo (officially HKV but using KHO)
'44': 'KRZ', # Kardzhali
'45': 'KNL', # Kyustendil
'46': 'LOV', # Lovech
'47': 'MON', # Montana
'48': 'PAZ', # Pazardzhik
'49': 'PER', # Pernik
'50': 'PVN', # Pleven
'51': 'PDV', # Plovdiv
'52': 'RAZ', # Razgrad
'53': 'RSE', # Ruse
'54': 'SHU', # Shumen
'55': 'SLS', # Silistra
'56': 'SLV', # Sliven
'57': 'SML', # Smolyan
'58': 'SFO', # Sofia (Province)
'59': 'SZR', # Stara Zagora
'60': 'TGV', # Targovishte
'61': 'VAR', # Varna
'62': 'VTR', # Veliko Tarnovo
'63': 'VID', # Vidin
'64': 'VRC', # Vratsa
'65': 'JAM', # Yambol
}
def get_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
# Clean the name
name = city_name.strip()
words = name.split()
if len(words) == 1:
# Single word: first 3 letters
return name[:3].upper()
elif len(words) == 2:
# Two words: first letter of each + first letter of second word
return (words[0][0] + words[1][:2]).upper()
else:
# Multiple words: first letter of each (up to 3)
return ''.join(w[0] for w in words[:3]).upper()
def transliterate_cyrillic(text: str) -> str:
"""Basic Cyrillic to Latin transliteration."""
# Check direct mapping first
if text in CYRILLIC_TO_ASCII:
return CYRILLIC_TO_ASCII[text]
# Basic character-by-character transliteration
cyrillic_map = {
'а': 'a', 'б': 'b', 'в': 'v', 'г': 'g', 'д': 'd',
'е': 'e', 'ж': 'zh', 'з': 'z', 'и': 'i', 'й': 'y',
'к': 'k', 'л': 'l', 'м': 'm', 'н': 'n', 'о': 'o',
'п': 'p', 'р': 'r', 'с': 's', 'т': 't', 'у': 'u',
'ф': 'f', 'х': 'h', 'ц': 'ts', 'ч': 'ch', 'ш': 'sh',
'щ': 'sht', 'ъ': 'a', 'ь': '', 'ю': 'yu', 'я': 'ya',
'А': 'A', 'Б': 'B', 'В': 'V', 'Г': 'G', 'Д': 'D',
'Е': 'E', 'Ж': 'Zh', 'З': 'Z', 'И': 'I', 'Й': 'Y',
'К': 'K', 'Л': 'L', 'М': 'M', 'Н': 'N', 'О': 'O',
'П': 'P', 'Р': 'R', 'С': 'S', 'Т': 'T', 'У': 'U',
'Ф': 'F', 'Х': 'H', 'Ц': 'Ts', 'Ч': 'Ch', 'Ш': 'Sh',
'Щ': 'Sht', 'Ъ': 'A', 'Ь': '', 'Ю': 'Yu', 'Я': 'Ya',
}
result = []
for char in text:
if char in cyrillic_map:
result.append(cyrillic_map[char])
else:
result.append(char)
return ''.join(result)
def lookup_city_in_geonames(conn: sqlite3.Connection, city_name: str) -> dict | None:
"""Look up city in GeoNames database."""
cursor = conn.cursor()
# First try direct ASCII lookup
ascii_name = CYRILLIC_TO_ASCII.get(city_name) or transliterate_cyrillic(city_name)
# Try exact match first
cursor.execute("""
SELECT name, ascii_name, admin1_code, admin1_name, geonames_id,
latitude, longitude, population, feature_code
FROM cities
WHERE country_code='BG'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (ascii_name = ? OR name = ?)
ORDER BY population DESC
LIMIT 1
""", (ascii_name, ascii_name))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'geonames_id': row[4],
'latitude': row[5],
'longitude': row[6],
'population': row[7],
'feature_code': row[8],
}
# Try fuzzy match with LIKE
cursor.execute("""
SELECT name, ascii_name, admin1_code, admin1_name, geonames_id,
latitude, longitude, population, feature_code
FROM cities
WHERE country_code='BG'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (ascii_name LIKE ? OR name LIKE ?)
ORDER BY population DESC
LIMIT 1
""", (f'{ascii_name}%', f'{ascii_name}%'))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'geonames_id': row[4],
'latitude': row[5],
'longitude': row[6],
'population': row[7],
'feature_code': row[8],
}
return None
def process_file(filepath: Path, conn: sqlite3.Connection, dry_run: bool = False) -> dict:
"""Process a single Bulgarian custodian file."""
result = {
'file': str(filepath),
'status': 'skipped',
'old_ghcid': None,
'new_ghcid': None,
'city_cyrillic': None,
'city_ascii': None,
'error': None,
}
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
result['status'] = 'error'
result['error'] = f'Failed to load YAML: {e}'
return result
if not data:
result['status'] = 'error'
result['error'] = 'Empty YAML file'
return result
# Get current GHCID
ghcid_data = data.get('ghcid', {})
old_ghcid = ghcid_data.get('ghcid_current', '')
result['old_ghcid'] = old_ghcid
# Check if it's a BG-XX-XXX file
if not old_ghcid.startswith('BG-XX-XXX-'):
result['status'] = 'skipped'
result['error'] = 'Not a BG-XX-XXX file'
return result
# Extract city from original_entry or locations
city_cyrillic = None
if 'original_entry' in data and 'locations' in data['original_entry']:
locations = data['original_entry']['locations']
if locations and isinstance(locations, list) and len(locations) > 0:
city_cyrillic = locations[0].get('city')
if not city_cyrillic:
result['status'] = 'error'
result['error'] = 'No city found in original_entry'
return result
result['city_cyrillic'] = city_cyrillic
# Look up city in GeoNames
city_info = lookup_city_in_geonames(conn, city_cyrillic)
if not city_info:
result['status'] = 'error'
result['error'] = f'City not found in GeoNames: {city_cyrillic}'
return result
result['city_ascii'] = city_info['ascii_name']
# Get region code
admin1_code = city_info['admin1_code']
region_code = ADMIN1_TO_ISO.get(admin1_code, 'XX')
# Generate city code
city_code = get_city_code(city_info['ascii_name'])
# Build new GHCID
# Extract type and abbreviation from old GHCID
# Format: BG-XX-XXX-{type}-{abbrev}
parts = old_ghcid.split('-')
if len(parts) >= 5:
inst_type = parts[3]
abbreviation = '-'.join(parts[4:]) # May contain hyphens
else:
result['status'] = 'error'
result['error'] = f'Invalid GHCID format: {old_ghcid}'
return result
new_ghcid = f'BG-{region_code}-{city_code}-{inst_type}-{abbreviation}'
result['new_ghcid'] = new_ghcid
if dry_run:
result['status'] = 'would_update'
return result
# Update the GHCID data
timestamp = datetime.now(timezone.utc).isoformat()
# Update ghcid section
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['location_resolution'] = {
'method': 'GEONAMES_LOOKUP',
'country_code': 'BG',
'region_code': region_code,
'region_name': city_info['admin1_name'],
'city_code': city_code,
'city_name': city_info['ascii_name'],
'city_name_cyrillic': city_cyrillic,
'geonames_id': city_info['geonames_id'],
'feature_code': city_info['feature_code'],
'resolution_date': timestamp,
}
# Add to GHCID history
if 'ghcid_history' not in data['ghcid']:
data['ghcid']['ghcid_history'] = []
# Mark old GHCID as ended
for entry in data['ghcid']['ghcid_history']:
if entry.get('ghcid') == old_ghcid and not entry.get('valid_to'):
entry['valid_to'] = timestamp
# Add new GHCID entry
data['ghcid']['ghcid_history'].append({
'ghcid': new_ghcid,
'ghcid_numeric': data['ghcid'].get('ghcid_numeric'),
'valid_from': timestamp,
'reason': f'City resolved via GeoNames: {city_cyrillic} → {city_info["ascii_name"]} ({region_code})',
})
# Update identifiers
if 'identifiers' in data:
for identifier in data['identifiers']:
if identifier.get('identifier_scheme') == 'GHCID':
identifier['identifier_value'] = new_ghcid
# Calculate new file path
new_filename = f'{new_ghcid}.yaml'
new_filepath = filepath.parent / new_filename
# Write updated data
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
# Rename file
if filepath != new_filepath and not new_filepath.exists():
filepath.rename(new_filepath)
result['new_file'] = str(new_filepath)
elif new_filepath.exists() and filepath != new_filepath:
result['status'] = 'collision'
result['error'] = f'Target file already exists: {new_filepath}'
return result
result['status'] = 'updated'
return result
def main():
import argparse
parser = argparse.ArgumentParser(description='Enrich Bulgarian custodian files with GeoNames data')
parser.add_argument('--dry-run', action='store_true', help='Show what would be done without making changes')
parser.add_argument('--limit', type=int, help='Limit number of files to process')
args = parser.parse_args()
# Find all Bulgarian XXX files
custodian_dir = Path('/Users/kempersc/apps/glam/data/custodian')
geonames_db = Path('/Users/kempersc/apps/glam/data/reference/geonames.db')
if not geonames_db.exists():
print(f'ERROR: GeoNames database not found: {geonames_db}')
return
files = sorted(custodian_dir.glob('BG-XX-XXX-*.yaml'))
if args.limit:
files = files[:args.limit]
print(f'Found {len(files)} Bulgarian XXX files')
print(f'Dry run: {args.dry_run}')
print()
# Connect to GeoNames database
conn = sqlite3.connect(str(geonames_db))
stats = {'updated': 0, 'error': 0, 'skipped': 0, 'would_update': 0, 'collision': 0}
errors = []
for filepath in files:
result = process_file(filepath, conn, dry_run=args.dry_run)
stats[result['status']] = stats.get(result['status'], 0) + 1
if result['status'] == 'updated' or result['status'] == 'would_update':
print(f"✓ {result['city_cyrillic']} → {result['city_ascii']}: {result['old_ghcid']} → {result['new_ghcid']}")
elif result['status'] == 'error':
print(f"✗ {filepath.name}: {result['error']}")
errors.append(result)
elif result['status'] == 'collision':
print(f"⚠ {filepath.name}: {result['error']}")
conn.close()
print()
print('=' * 60)
print('Summary:')
print(f" Updated: {stats.get('updated', 0)}")
print(f" Would update: {stats.get('would_update', 0)}")
print(f" Errors: {stats.get('error', 0)}")
print(f" Collisions: {stats.get('collision', 0)}")
print(f" Skipped: {stats.get('skipped', 0)}")
if errors:
print()
print('Errors:')
for err in errors:
print(f" - {err['file']}: {err['error']}")
if __name__ == '__main__':
main()

459
scripts/enrich_cities_google.py Executable file
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@ -0,0 +1,459 @@
#!/usr/bin/env python3
"""
Enrich custodian files with city/region data using Google Places API.
This is a generic script that works for any country's XXX files.
Usage:
python scripts/enrich_cities_google.py --country KR [--dry-run] [--limit N]
python scripts/enrich_cities_google.py --country AR [--dry-run] [--limit N]
python scripts/enrich_cities_google.py --all [--dry-run] [--limit N]
Environment Variables:
GOOGLE_PLACES_TOKEN - Required: Google Cloud API key with Places API enabled
"""
import os
import sys
import time
import sqlite3
import re
import argparse
from pathlib import Path
from datetime import datetime, timezone
from typing import Optional
import yaml
import httpx
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Configuration
GOOGLE_PLACES_TOKEN = os.getenv("GOOGLE_PLACES_TOKEN", "")
GEONAMES_DB = Path("/Users/kempersc/apps/glam/data/reference/geonames.db")
CUSTODIAN_DIR = Path("/Users/kempersc/apps/glam/data/custodian")
# Google Places API
TEXT_SEARCH_URL = "https://places.googleapis.com/v1/places:searchText"
REQUEST_DELAY = 0.3
# Country name mapping for search queries
COUNTRY_NAMES = {
'KR': 'South Korea',
'AR': 'Argentina',
'US': 'United States',
'IN': 'India',
'JM': 'Jamaica',
'UZ': 'Uzbekistan',
'UA': 'Ukraine',
'TJ': 'Tajikistan',
'OM': 'Oman',
'NL': 'Netherlands',
'NA': 'Namibia',
'ML': 'Mali',
'LK': 'Sri Lanka',
'LB': 'Lebanon',
'IT': 'Italy',
'IR': 'Iran',
'EC': 'Ecuador',
'DK': 'Denmark',
'CU': 'Cuba',
'CO': 'Colombia',
'BR': 'Brazil',
'MX': 'Mexico',
'JP': 'Japan',
'CZ': 'Czech Republic',
'DE': 'Germany',
'FR': 'France',
'GB': 'United Kingdom',
}
def get_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
name = city_name.strip()
# Remove common suffixes
for suffix in [' City', ' Town', '-shi', '-ku', '-gun', '-cho', ' District']:
if name.endswith(suffix):
name = name[:-len(suffix)]
words = name.split()
if len(words) == 1:
return name[:3].upper()
elif len(words) == 2:
return (words[0][0] + words[1][:2]).upper()
else:
return ''.join(w[0] for w in words[:3]).upper()
def search_google_places(query: str, api_key: str) -> Optional[dict]:
"""Search Google Places API for a location."""
headers = {
"Content-Type": "application/json",
"X-Goog-Api-Key": api_key,
"X-Goog-FieldMask": "places.displayName,places.formattedAddress,places.location,places.addressComponents,places.types,places.id,places.websiteUri"
}
payload = {
"textQuery": query,
"languageCode": "en"
}
try:
response = httpx.post(TEXT_SEARCH_URL, json=payload, headers=headers, timeout=30)
response.raise_for_status()
data = response.json()
if "places" in data and len(data["places"]) > 0:
return data["places"][0]
return None
except Exception as e:
print(f" Error searching Google Places: {e}")
return None
def extract_location_from_google(place: dict) -> dict:
"""Extract location information from Google Places result."""
result = {
'city': None,
'region': None,
'latitude': None,
'longitude': None,
'formatted_address': None,
'place_id': None,
'website': None,
}
if not place:
return result
result['place_id'] = place.get('id')
result['formatted_address'] = place.get('formattedAddress')
result['website'] = place.get('websiteUri')
location = place.get('location', {})
result['latitude'] = location.get('latitude')
result['longitude'] = location.get('longitude')
components = place.get('addressComponents', [])
for comp in components:
types = comp.get('types', [])
long_name = comp.get('longText', '')
if 'locality' in types:
result['city'] = long_name
elif 'administrative_area_level_1' in types:
result['region'] = long_name
elif 'sublocality_level_1' in types and not result['city']:
result['city'] = long_name
return result
def lookup_city_geonames(conn: sqlite3.Connection, lat: float, lon: float, country_code: str) -> Optional[dict]:
"""Reverse geocode coordinates to find nearest city in GeoNames."""
cursor = conn.cursor()
cursor.execute("""
SELECT name, ascii_name, admin1_code, admin1_name, geonames_id,
latitude, longitude, population, feature_code,
((latitude - ?) * (latitude - ?) + (longitude - ?) * (longitude - ?)) as dist_sq
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
ORDER BY dist_sq
LIMIT 1
""", (lat, lat, lon, lon, country_code))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'geonames_id': row[4],
'latitude': row[5],
'longitude': row[6],
'population': row[7],
'feature_code': row[8],
}
return None
def get_region_code(admin1_code: str, country_code: str, admin1_name: str) -> str:
"""Get ISO-style region code from GeoNames admin1_code."""
if not admin1_code:
return 'XX'
# For most countries, use first 2-3 characters of admin1_code or name
if len(admin1_code) <= 3:
return admin1_code.upper()
# Use abbreviation from name
if admin1_name:
words = admin1_name.split()
if len(words) == 1:
return admin1_name[:2].upper()
else:
return ''.join(w[0] for w in words[:2]).upper()
return admin1_code[:2].upper()
def process_file(filepath: Path, conn: sqlite3.Connection, api_key: str,
country_code: str, country_name: str, dry_run: bool = False) -> dict:
"""Process a single custodian file."""
result = {
'file': str(filepath),
'status': 'skipped',
'old_ghcid': None,
'new_ghcid': None,
'city': None,
'region': None,
'error': None,
}
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
result['status'] = 'error'
result['error'] = f'Failed to load YAML: {e}'
return result
if not data:
result['status'] = 'error'
result['error'] = 'Empty YAML file'
return result
ghcid_data = data.get('ghcid', {})
old_ghcid = ghcid_data.get('ghcid_current', '')
result['old_ghcid'] = old_ghcid
# Match both patterns:
# 1. {country}-XX-XXX-... (no region, no city)
# 2. {country}-{region}-XXX-... (has region, no city)
xxx_pattern = re.compile(rf'^{country_code}-[A-Z]{{2}}-XXX-')
if not xxx_pattern.match(old_ghcid):
result['status'] = 'skipped'
result['error'] = f'Not a {country_code}-*-XXX file'
return result
# Get institution name
name = data.get('custodian_name', {}).get('claim_value', '')
if not name:
name = data.get('original_entry', {}).get('name', '')
if not name:
result['status'] = 'error'
result['error'] = 'No institution name found'
return result
# Search Google Places
search_query = f"{name} {country_name}"
print(f" Searching: {name[:50]}...")
place = search_google_places(search_query, api_key)
time.sleep(REQUEST_DELAY)
if not place:
result['status'] = 'error'
result['error'] = 'Not found in Google Places'
return result
location_info = extract_location_from_google(place)
if not location_info['latitude'] or not location_info['longitude']:
result['status'] = 'error'
result['error'] = 'No coordinates from Google'
return result
# Lookup in GeoNames
city_info = lookup_city_geonames(conn, location_info['latitude'],
location_info['longitude'], country_code)
if not city_info:
result['status'] = 'error'
result['error'] = 'City not found in GeoNames'
return result
region_code = get_region_code(city_info['admin1_code'], country_code, city_info['admin1_name'])
city_code = get_city_code(city_info['ascii_name'])
result['city'] = city_info['ascii_name']
result['region'] = city_info['admin1_name']
# Build new GHCID
parts = old_ghcid.split('-')
if len(parts) >= 5:
inst_type = parts[3]
abbreviation = '-'.join(parts[4:])
else:
result['status'] = 'error'
result['error'] = f'Invalid GHCID format: {old_ghcid}'
return result
new_ghcid = f'{country_code}-{region_code}-{city_code}-{inst_type}-{abbreviation}'
result['new_ghcid'] = new_ghcid
if dry_run:
result['status'] = 'would_update'
return result
# Update the data
timestamp = datetime.now(timezone.utc).isoformat()
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['location_resolution'] = {
'method': 'GOOGLE_PLACES_GEONAMES',
'country_code': country_code,
'region_code': region_code,
'region_name': city_info['admin1_name'],
'city_code': city_code,
'city_name': city_info['ascii_name'],
'geonames_id': city_info['geonames_id'],
'feature_code': city_info['feature_code'],
'google_place_id': location_info.get('place_id'),
'latitude': location_info['latitude'],
'longitude': location_info['longitude'],
'resolution_date': timestamp,
}
data['google_maps_enrichment'] = {
'place_id': location_info.get('place_id'),
'formatted_address': location_info.get('formatted_address'),
'website': location_info.get('website'),
'latitude': location_info['latitude'],
'longitude': location_info['longitude'],
'enriched_at': timestamp,
'source': 'Google Places API (New)',
}
# Update GHCID history
if 'ghcid_history' not in data['ghcid']:
data['ghcid']['ghcid_history'] = []
for entry in data['ghcid']['ghcid_history']:
if entry.get('ghcid') == old_ghcid and not entry.get('valid_to'):
entry['valid_to'] = timestamp
data['ghcid']['ghcid_history'].append({
'ghcid': new_ghcid,
'ghcid_numeric': data['ghcid'].get('ghcid_numeric'),
'valid_from': timestamp,
'reason': f'Location resolved via Google Places + GeoNames: {city_info["ascii_name"]} ({region_code})',
})
if 'identifiers' in data:
for identifier in data['identifiers']:
if identifier.get('identifier_scheme') == 'GHCID':
identifier['identifier_value'] = new_ghcid
# Write and rename
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
new_filename = f'{new_ghcid}.yaml'
new_filepath = filepath.parent / new_filename
if filepath != new_filepath and not new_filepath.exists():
filepath.rename(new_filepath)
result['new_file'] = str(new_filepath)
elif new_filepath.exists() and filepath != new_filepath:
result['status'] = 'collision'
result['error'] = f'Target file exists: {new_filepath.name}'
return result
result['status'] = 'updated'
return result
def main():
parser = argparse.ArgumentParser(description='Enrich custodian files with Google Places data')
parser.add_argument('--country', type=str, help='Country code (e.g., KR, AR, US)')
parser.add_argument('--all', action='store_true', help='Process all countries with XXX files')
parser.add_argument('--dry-run', action='store_true', help='Show what would be done')
parser.add_argument('--limit', type=int, help='Limit number of files per country')
args = parser.parse_args()
if not GOOGLE_PLACES_TOKEN:
print("ERROR: GOOGLE_PLACES_TOKEN environment variable is required")
sys.exit(1)
if not GEONAMES_DB.exists():
print(f"ERROR: GeoNames database not found: {GEONAMES_DB}")
sys.exit(1)
# Determine which countries to process
if args.all:
# Find all countries with XXX files (either XX-XXX or {region}-XXX)
countries = set()
for f in CUSTODIAN_DIR.glob('*-*-XXX-*.yaml'):
cc = f.name[:2]
if cc in COUNTRY_NAMES:
countries.add(cc)
countries = sorted(countries)
elif args.country:
countries = [args.country.upper()]
else:
print("ERROR: Specify --country CODE or --all")
sys.exit(1)
conn = sqlite3.connect(str(GEONAMES_DB))
total_stats = {'updated': 0, 'error': 0, 'skipped': 0, 'would_update': 0, 'collision': 0}
for country_code in countries:
country_name = COUNTRY_NAMES.get(country_code, country_code)
files = sorted(CUSTODIAN_DIR.glob(f'{country_code}-*-XXX-*.yaml'))
if args.limit:
files = files[:args.limit]
if not files:
continue
print(f"\n{'='*60}")
print(f"Processing {country_code} ({country_name}): {len(files)} files")
print('='*60)
stats = {'updated': 0, 'error': 0, 'skipped': 0, 'would_update': 0, 'collision': 0}
for filepath in files:
print(f"Processing: {filepath.name}")
result = process_file(filepath, conn, GOOGLE_PLACES_TOKEN,
country_code, country_name, dry_run=args.dry_run)
stats[result['status']] = stats.get(result['status'], 0) + 1
if result['status'] in ('updated', 'would_update'):
print(f" ✓ {result['city']} ({result['region']}): {result['old_ghcid']} → {result['new_ghcid']}")
elif result['status'] == 'error':
print(f" ✗ {result['error']}")
elif result['status'] == 'collision':
print(f" ⚠ {result['error']}")
print(f"\n{country_code} Summary: Updated={stats.get('updated', 0)}, "
f"Would update={stats.get('would_update', 0)}, "
f"Errors={stats.get('error', 0)}")
for k, v in stats.items():
total_stats[k] = total_stats.get(k, 0) + v
conn.close()
print()
print('='*60)
print('TOTAL Summary:')
print(f" Updated: {total_stats.get('updated', 0)}")
print(f" Would update: {total_stats.get('would_update', 0)}")
print(f" Errors: {total_stats.get('error', 0)}")
print(f" Collisions: {total_stats.get('collision', 0)}")
print(f" Skipped: {total_stats.get('skipped', 0)}")
if __name__ == '__main__':
main()

791
scripts/enrich_czech_cities.py Normal file
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@ -0,0 +1,791 @@
#!/usr/bin/env python3
"""
Enrich Czech custodian files with city data from the CH-Annotator source file.
For Czech custodian files with XXX city placeholder, this script:
1. Loads the source CH-Annotator file (czech_unified_ch_annotator.yaml)
2. Matches by name, ARON UUID, or Wikidata ID to get city/coordinates
3. Falls back to Wikidata P131 lookup via SPARQL for missing data
4. Updates the GHCID with correct city code
5. Renames the file if GHCID changes
Usage:
python scripts/enrich_czech_cities.py [--dry-run] [--limit N]
"""
import argparse
import hashlib
import os
import re
import shutil
import sqlite3
import time
import uuid
import yaml
import requests
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Tuple
# Paths
PROJECT_ROOT = Path(__file__).parent.parent
CUSTODIAN_DIR = PROJECT_ROOT / "data" / "custodian"
GEONAMES_DB = PROJECT_ROOT / "data" / "reference" / "geonames.db"
REPORTS_DIR = PROJECT_ROOT / "reports"
CZECH_CH_ANNOTATOR_FILE = PROJECT_ROOT / "data" / "instances" / "czech_unified_ch_annotator.yaml"
# GHCID namespace for UUID generation
GHCID_NAMESPACE = uuid.UUID('6ba7b810-9dad-11d1-80b4-00c04fd430c8')
# Rate limiting for Wikidata
REQUEST_DELAY = 1.0
# Czech region mapping (GeoNames admin1 to ISO 3166-2:CZ)
CZECH_ADMIN1_MAP = {
'52': 'JC', # Jihočeský (South Bohemian)
'78': 'JM', # Jihomoravský (South Moravian)
'81': 'KA', # Karlovarský (Karlovy Vary)
'82': 'VY', # Vysočina (Vysočina)
'51': 'KR', # Královéhradecký (Hradec Králové)
'53': 'LI', # Liberecký (Liberec)
'84': 'MO', # Moravskoslezský (Moravian-Silesian)
'85': 'OL', # Olomoucký (Olomouc)
'86': 'PA', # Pardubický (Pardubice)
'54': 'PL', # Plzeňský (Plzeň)
'10': 'PR', # Praha (Prague)
'55': 'ST', # Středočeský (Central Bohemian)
'56': 'US', # Ústecký (Ústí nad Labem)
'87': 'ZL', # Zlínský (Zlín)
}
# Region name to code mapping (from source data)
CZECH_REGION_NAMES = {
'Jihočeský': 'JC',
'Jihomoravský': 'JM',
'Karlovarský': 'KA',
'Vysočina': 'VY',
'Královéhradecký': 'KR',
'Liberecký': 'LI',
'Moravskoslezský': 'MO',
'Olomoucký': 'OL',
'Pardubický': 'PA',
'Plzeňský': 'PL',
'Hlavní město Praha': 'PR',
'Praha': 'PR',
'Středočeský': 'ST',
'Ústecký': 'US',
'Zlínský': 'ZL',
}
def extract_city_from_name(name: str) -> Optional[str]:
"""Try to extract city name from Czech institution name patterns."""
if not name:
return None
# Common patterns in Czech: "v Praze", "v Brně", "v Kladně", "ve Šlapanicích"
# Also: "nad Metují", "nad Labem"
import re
# Pattern: "v/ve + City" (locative case)
patterns = [
# "v CityName" - most common
r'\bv\s+([A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+(?:\s+[A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+)*)',
# "ve CityName" (before consonant clusters)
r'\bve\s+([A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+(?:\s+[A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+)*)',
# "nad CityName" or "pod CityName"
r'\b(?:nad|pod)\s+([A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+)',
]
for pattern in patterns:
match = re.search(pattern, name)
if match:
city = match.group(1)
# Convert locative case to nominative (approximation)
# Common endings: -ě/-e -> -a, -ích -> -y, -ové -> -ov
city = convert_locative_to_nominative(city)
return city
return None
def convert_locative_to_nominative(city: str) -> str:
"""Convert Czech locative case to nominative (best effort)."""
# This is approximate - Czech declension is complex
# Common patterns:
replacements = [
# Praha (Prague): Praze -> Praha
('Praze', 'Praha'),
('Brně', 'Brno'),
('Hradci Králové', 'Hradec Králové'),
('Havlíčkově Brodě', 'Havlíčkův Brod'),
('Liberci', 'Liberec'),
('Olomouci', 'Olomouc'),
('Plzni', 'Plzeň'),
('Ostravě', 'Ostrava'),
('Ústí nad Labem', 'Ústí nad Labem'), # no change
('Opavě', 'Opava'),
# Generic endings
]
for locative, nominative in replacements:
if city == locative:
return nominative
# Generic ending transformations (approximate)
if city.endswith('ě') or city.endswith('e'):
# Could be -a noun (Praha -> Praze) or -o noun (Brno -> Brně)
# Try replacing with -a first (more common)
pass
# For now, return as-is if no specific mapping found
return city
def normalize_czech_name(name: str) -> str:
"""Normalize Czech institution name for matching."""
if not name:
return ''
# Remove common suffixes and legal forms
suffixes = [
'o. p. s.',
'o.p.s.',
'p. o.',
'p.o.',
's. r. o.',
's.r.o.',
'příspěvková organizace',
', příspěvková organizace',
', p. o.',
]
result = name
for suffix in suffixes:
result = result.replace(suffix, '')
# Clean up extra whitespace
result = ' '.join(result.split())
result = result.strip(' -,')
return result
def load_czech_source_data() -> Dict[str, Dict]:
"""Load Czech CH-Annotator source file and create lookup tables."""
by_name = {}
by_aron_uuid = {}
by_wikidata = {}
if not CZECH_CH_ANNOTATOR_FILE.exists():
print(f"Warning: Czech CH-Annotator file not found: {CZECH_CH_ANNOTATOR_FILE}")
return {'by_name': by_name, 'by_aron_uuid': by_aron_uuid, 'by_wikidata': by_wikidata}
print(f"Loading Czech CH-Annotator source file...")
with open(CZECH_CH_ANNOTATOR_FILE, 'r', encoding='utf-8') as f:
entries = yaml.safe_load(f)
if not entries:
return {'by_name': by_name, 'by_aron_uuid': by_aron_uuid, 'by_wikidata': by_wikidata}
for entry in entries:
if not isinstance(entry, dict):
continue
# Extract location data
locations = entry.get('locations', [])
if not locations:
continue
loc = locations[0] if locations else {}
if not loc.get('city'):
continue
location_data = {
'city': loc.get('city'),
'region': loc.get('region'),
'region_code': CZECH_REGION_NAMES.get(loc.get('region', ''), None),
'postal_code': loc.get('postal_code'),
'street_address': loc.get('street_address'),
'latitude': loc.get('latitude'),
'longitude': loc.get('longitude'),
'name': entry.get('name', '')
}
# Index by name (exact and normalized)
name = entry.get('name', '')
if name:
by_name[name] = location_data
by_name[name.lower()] = location_data
# Also normalized version
normalized = normalize_czech_name(name)
if normalized and normalized != name:
by_name[normalized] = location_data
by_name[normalized.lower()] = location_data
# Index by alternative names
for alt_name in entry.get('alternative_names', []):
if alt_name:
by_name[alt_name] = location_data
by_name[alt_name.lower()] = location_data
normalized = normalize_czech_name(alt_name)
if normalized and normalized != alt_name:
by_name[normalized] = location_data
by_name[normalized.lower()] = location_data
# Index by ARON UUID and Wikidata
for ident in entry.get('identifiers', []):
if not isinstance(ident, dict):
continue
scheme = ident.get('identifier_scheme', '')
value = ident.get('identifier_value', '')
if scheme == 'ARON_UUID' and value:
by_aron_uuid[value] = location_data
elif scheme == 'Wikidata' and value:
by_wikidata[value] = location_data
print(f" Loaded {len(by_name)} by name, {len(by_aron_uuid)} by ARON UUID, {len(by_wikidata)} by Wikidata")
return {'by_name': by_name, 'by_aron_uuid': by_aron_uuid, 'by_wikidata': by_wikidata}
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
if not city_name:
return 'XXX'
# Remove diacritics and normalize
import unicodedata
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Czech articles/prepositions to skip
skip_words = {'nad', 'pod', 'u', 'v', 've', 'na', 'do', 'z', 'ze', 'k', 'ke', 'o', 's', 'se'}
words = ascii_name.split()
significant_words = [w for w in words if w.lower() not in skip_words]
if not significant_words:
significant_words = words
if len(significant_words) == 1:
# Single word: first 3 letters
return significant_words[0][:3].upper()
else:
# Multiple words: initials (up to 3)
return ''.join(w[0] for w in significant_words[:3]).upper()
def generate_ghcid_uuid(ghcid_string: str) -> str:
"""Generate deterministic UUID v5 from GHCID string."""
return str(uuid.uuid5(GHCID_NAMESPACE, ghcid_string))
def generate_ghcid_uuid_sha256(ghcid_string: str) -> str:
"""Generate UUID v8 style from SHA-256 hash."""
hash_bytes = hashlib.sha256(ghcid_string.encode('utf-8')).digest()[:16]
hash_bytes = bytearray(hash_bytes)
hash_bytes[6] = (hash_bytes[6] & 0x0F) | 0x80 # version 8
hash_bytes[8] = (hash_bytes[8] & 0x3F) | 0x80 # variant
return str(uuid.UUID(bytes=bytes(hash_bytes)))
def generate_ghcid_numeric(ghcid_string: str) -> int:
"""Generate 64-bit numeric ID from SHA-256 hash."""
hash_bytes = hashlib.sha256(ghcid_string.encode('utf-8')).digest()
return int.from_bytes(hash_bytes[:8], 'big')
def fetch_wikidata_location(wikidata_id: str, session: requests.Session) -> Optional[Dict]:
"""Fetch location via Wikidata SPARQL (P131 located in administrative entity)."""
if not wikidata_id or not wikidata_id.startswith('Q'):
return None
query = f"""
SELECT ?cityLabel ?regionLabel ?coords WHERE {{
wd:{wikidata_id} wdt:P131* ?city .
?city wdt:P31/wdt:P279* wd:Q515 . # city
OPTIONAL {{ ?city wdt:P625 ?coords }}
OPTIONAL {{
wd:{wikidata_id} wdt:P131+ ?region .
?region wdt:P31 wd:Q20916591 . # Czech region
}}
SERVICE wikibase:label {{ bd:serviceParam wikibase:language "cs,en" }}
}}
LIMIT 1
"""
try:
response = session.get(
'https://query.wikidata.org/sparql',
params={'query': query, 'format': 'json'},
headers={'User-Agent': 'GLAMDataExtractor/1.0'},
timeout=30
)
response.raise_for_status()
data = response.json()
results = data.get('results', {}).get('bindings', [])
if results:
result = results[0]
city = result.get('cityLabel', {}).get('value', '')
region = result.get('regionLabel', {}).get('value', '')
coords = result.get('coords', {}).get('value', '')
lat, lon = None, None
if coords and coords.startswith('Point('):
# Parse Point(lon lat) format
match = re.match(r'Point\(([^ ]+) ([^)]+)\)', coords)
if match:
lon, lat = float(match.group(1)), float(match.group(2))
return {
'city': city,
'region': region,
'region_code': CZECH_REGION_NAMES.get(region, None),
'latitude': lat,
'longitude': lon,
'source': 'wikidata_sparql'
}
except Exception as e:
print(f" Wikidata SPARQL error: {e}")
return None
def reverse_geocode_city(city_name: str, country_code: str, db_path: Path) -> Optional[Dict]:
"""Look up city in GeoNames database to get coordinates and admin1."""
try:
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# Try exact match first
cursor.execute("""
SELECT geonames_id, name, ascii_name, latitude, longitude,
population, feature_code, admin1_code, admin1_name
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (name = ? OR ascii_name = ? OR LOWER(name) = LOWER(?))
ORDER BY population DESC
LIMIT 1
""", (country_code, city_name, city_name, city_name))
row = cursor.fetchone()
if not row:
# Try fuzzy match
cursor.execute("""
SELECT geonames_id, name, ascii_name, latitude, longitude,
population, feature_code, admin1_code, admin1_name
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (name LIKE ? OR ascii_name LIKE ?)
ORDER BY population DESC
LIMIT 1
""", (country_code, f"{city_name}%", f"{city_name}%"))
row = cursor.fetchone()
conn.close()
if row:
admin1_code = row[7]
region_code = CZECH_ADMIN1_MAP.get(admin1_code, None)
return {
'geonames_id': row[0],
'geonames_name': row[1],
'ascii_name': row[2],
'latitude': row[3],
'longitude': row[4],
'population': row[5],
'feature_code': row[6],
'admin1_code': admin1_code,
'admin1_name': row[8],
'region_code': region_code
}
return None
except Exception as e:
print(f" GeoNames lookup error: {e}")
return None
def process_file(file_path: Path, lookup: Dict, session: requests.Session, dry_run: bool = True) -> Dict:
"""Process a single custodian file."""
result = {
'status': 'unchanged',
'old_ghcid': None,
'new_ghcid': None,
'city': None,
'error': None
}
try:
with open(file_path, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
if not data:
result['status'] = 'error'
result['error'] = 'Empty file'
return result
# Check if this is a Czech file with XXX city placeholder
ghcid_current = data.get('ghcid', {}).get('ghcid_current', '')
if not ghcid_current.startswith('CZ-') or '-XXX-' not in ghcid_current:
result['status'] = 'skipped'
return result
result['old_ghcid'] = ghcid_current
# Get institution name for lookup
inst_name = data.get('original_entry', {}).get('name', '')
if not inst_name:
inst_name = data.get('custodian_name', {}).get('claim_value', '')
# Get identifiers for lookup
aron_uuid = None
wikidata_id = None
for ident in data.get('identifiers', []):
if isinstance(ident, dict):
scheme = ident.get('identifier_scheme', '')
value = ident.get('identifier_value', '')
if scheme == 'ARON_UUID':
aron_uuid = value
elif scheme == 'Wikidata':
wikidata_id = value
# Also check original_entry.identifiers
for ident in data.get('original_entry', {}).get('identifiers', []):
if isinstance(ident, dict):
scheme = ident.get('identifier_scheme', '')
value = ident.get('identifier_value', '')
if scheme == 'ARON_UUID' and not aron_uuid:
aron_uuid = value
elif scheme == 'Wikidata' and not wikidata_id:
wikidata_id = value
# Try to find location data from source
location_data = None
location_source = None
# Try by name first
if inst_name:
location_data = lookup['by_name'].get(inst_name)
if location_data:
location_source = 'source_by_name'
else:
# Try lowercase
location_data = lookup['by_name'].get(inst_name.lower())
if location_data:
location_source = 'source_by_name_lower'
else:
# Try normalized
normalized = normalize_czech_name(inst_name)
if normalized:
location_data = lookup['by_name'].get(normalized)
if location_data:
location_source = 'source_by_normalized_name'
else:
location_data = lookup['by_name'].get(normalized.lower())
if location_data:
location_source = 'source_by_normalized_name_lower'
# Try by ARON UUID
if not location_data and aron_uuid:
location_data = lookup['by_aron_uuid'].get(aron_uuid)
if location_data:
location_source = 'source_by_aron_uuid'
# Try by Wikidata
if not location_data and wikidata_id:
location_data = lookup['by_wikidata'].get(wikidata_id)
if location_data:
location_source = 'source_by_wikidata'
# Fallback to Wikidata SPARQL (skip for now - too slow)
# if not location_data and wikidata_id:
# time.sleep(REQUEST_DELAY)
# location_data = fetch_wikidata_location(wikidata_id, session)
# if location_data:
# location_source = 'wikidata_sparql'
# Fallback: extract city from institution name
if not location_data or not location_data.get('city'):
extracted_city = extract_city_from_name(inst_name)
if extracted_city:
# Validate against GeoNames
geonames_data = reverse_geocode_city(extracted_city, 'CZ', GEONAMES_DB)
if geonames_data:
location_data = {
'city': geonames_data.get('geonames_name', extracted_city),
'region_code': geonames_data.get('region_code'),
'geonames_id': geonames_data.get('geonames_id'),
'geonames_name': geonames_data.get('geonames_name'),
'latitude': geonames_data.get('latitude'),
'longitude': geonames_data.get('longitude'),
}
location_source = 'extracted_from_name'
if not location_data or not location_data.get('city'):
result['status'] = 'no_city_found'
result['error'] = f'No location data for: {inst_name}'
return result
city_name = location_data['city']
result['city'] = city_name
# Generate city code
city_code = generate_city_code(city_name)
# Get region code
region_code = location_data.get('region_code')
if not region_code:
# Try to get from GeoNames
geonames_data = reverse_geocode_city(city_name, 'CZ', GEONAMES_DB)
if geonames_data:
region_code = geonames_data.get('region_code')
location_data['geonames_id'] = geonames_data.get('geonames_id')
location_data['geonames_name'] = geonames_data.get('geonames_name')
if not location_data.get('latitude'):
location_data['latitude'] = geonames_data.get('latitude')
location_data['longitude'] = geonames_data.get('longitude')
# Build new GHCID
parts = ghcid_current.split('-')
if len(parts) >= 5:
# Replace XXX with city code, and update region if we have it
parts[2] = city_code
if region_code:
parts[1] = region_code
new_ghcid = '-'.join(parts)
else:
new_ghcid = ghcid_current.replace('-XXX-', f'-{city_code}-')
result['new_ghcid'] = new_ghcid
if new_ghcid == ghcid_current:
result['status'] = 'unchanged'
return result
if dry_run:
result['status'] = 'would_update'
return result
# Update the data
now = datetime.now(timezone.utc).isoformat()
# Update GHCID
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['ghcid_uuid'] = generate_ghcid_uuid(new_ghcid)
data['ghcid']['ghcid_uuid_sha256'] = generate_ghcid_uuid_sha256(new_ghcid)
data['ghcid']['ghcid_numeric'] = generate_ghcid_numeric(new_ghcid)
# Update location_resolution
location_resolution = {
'method': 'CZECH_CH_ANNOTATOR_ENRICHMENT',
'city_name': city_name,
'city_code': city_code,
'country_code': 'CZ',
'enrichment_date': now,
'source': location_source
}
if region_code:
location_resolution['region_code'] = region_code
location_resolution['region_name'] = location_data.get('region', f'CZ-{region_code}')
if location_data.get('geonames_id'):
location_resolution['geonames_id'] = location_data['geonames_id']
location_resolution['geonames_name'] = location_data['geonames_name']
if location_data.get('latitude'):
location_resolution['latitude'] = location_data['latitude']
location_resolution['longitude'] = location_data['longitude']
data['ghcid']['location_resolution'] = location_resolution
# Add GHCID history entry
history = data['ghcid'].get('ghcid_history', [])
if history and isinstance(history, list) and len(history) > 0:
# Close previous entry
if isinstance(history[0], dict):
history[0]['valid_to'] = now
history.insert(0, {
'ghcid': new_ghcid,
'ghcid_numeric': data['ghcid']['ghcid_numeric'],
'valid_from': now,
'valid_to': None,
'reason': f'City code updated from Czech CH-Annotator enrichment: {city_name} -> {city_code}'
})
data['ghcid']['ghcid_history'] = history
# Update location in original_entry if exists
if 'original_entry' in data:
if 'locations' not in data['original_entry'] or not data['original_entry']['locations']:
data['original_entry']['locations'] = [{}]
for loc in data['original_entry']['locations']:
if isinstance(loc, dict):
loc['city'] = city_name
if location_data.get('postal_code'):
loc['postal_code'] = location_data['postal_code']
if location_data.get('street_address'):
loc['street_address'] = location_data['street_address']
if location_data.get('latitude'):
loc['latitude'] = location_data['latitude']
loc['longitude'] = location_data['longitude']
if region_code:
loc['region'] = location_data.get('region', f'CZ-{region_code}')
# Update identifiers
for ident in data.get('identifiers', []):
if isinstance(ident, dict) and ident.get('identifier_scheme') == 'GHCID':
ident['identifier_value'] = new_ghcid
# Add provenance note
notes = data.get('provenance', {}).get('notes', [])
if isinstance(notes, str):
notes = [notes]
if not isinstance(notes, list):
notes = []
notes.append(f'City resolved {now[:19]}Z: {city_name} -> {city_code} via {location_source}')
data['provenance'] = data.get('provenance', {})
data['provenance']['notes'] = notes
# Write updated file
with open(file_path, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
# Rename file if GHCID changed
new_filename = f"{new_ghcid}.yaml"
new_path = file_path.parent / new_filename
if new_path != file_path and not new_path.exists():
shutil.move(file_path, new_path)
result['renamed_to'] = str(new_path.name)
result['status'] = 'updated'
return result
except Exception as e:
result['status'] = 'error'
result['error'] = str(e)
import traceback
traceback.print_exc()
return result
def main():
parser = argparse.ArgumentParser(description='Enrich Czech custodian files with city data')
parser.add_argument('--dry-run', action='store_true', help='Show what would be done without making changes')
parser.add_argument('--limit', type=int, help='Limit number of files to process')
parser.add_argument('--verbose', '-v', action='store_true', help='Show verbose output')
args = parser.parse_args()
print("=" * 60)
print("CZECH CITY ENRICHMENT")
print("=" * 60)
if args.dry_run:
print("DRY RUN MODE - No files will be modified")
# Find Czech files with XXX city placeholder
czech_xxx_files = list(CUSTODIAN_DIR.glob("CZ-*-XXX-*.yaml"))
if args.limit:
czech_xxx_files = czech_xxx_files[:args.limit]
print(f"Limited to {args.limit} files")
print(f"Found {len(czech_xxx_files)} Czech files with XXX city placeholder")
print()
# Load Czech source data
lookup = load_czech_source_data()
# Process files
session = requests.Session()
session.headers['User-Agent'] = 'GLAMDataExtractor/1.0 (heritage-data-enrichment)'
stats = {
'updated': 0,
'would_update': 0,
'unchanged': 0,
'skipped': 0,
'no_city_found': 0,
'error': 0
}
cities_found = {}
errors = []
for i, file_path in enumerate(czech_xxx_files, 1):
if i % 100 == 0 or args.verbose:
print(f"Progress: {i}/{len(czech_xxx_files)}")
result = process_file(file_path, lookup, session, dry_run=args.dry_run)
stats[result['status']] = stats.get(result['status'], 0) + 1
if result.get('city'):
cities_found[result['city']] = cities_found.get(result['city'], 0) + 1
if result.get('error'):
errors.append(f"{file_path.name}: {result['error']}")
if args.verbose and result['status'] in ('updated', 'would_update'):
print(f" {file_path.name}")
print(f" City: {result.get('city')}")
print(f" {result['old_ghcid']} -> {result['new_ghcid']}")
# Print summary
print()
print("=" * 60)
print("SUMMARY")
print("=" * 60)
print(f"Total files processed: {len(czech_xxx_files)}")
print()
print("Results:")
for status, count in sorted(stats.items()):
if count > 0:
print(f" {status}: {count}")
if cities_found:
print()
print(f"Cities found: {len(cities_found)} unique")
print("Top 10 cities:")
for city, count in sorted(cities_found.items(), key=lambda x: -x[1])[:10]:
print(f" {city}: {count}")
if errors:
print()
print(f"Errors ({len(errors)}):")
for err in errors[:10]:
print(f" {err}")
if len(errors) > 10:
print(f" ... and {len(errors) - 10} more")
# Save report
REPORTS_DIR.mkdir(exist_ok=True)
report_file = REPORTS_DIR / f"CZECH_CITY_ENRICHMENT_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
with open(report_file, 'w') as f:
f.write("# Czech City Enrichment Report\n\n")
f.write(f"**Date**: {datetime.now().isoformat()}\n")
f.write(f"**Mode**: {'Dry Run' if args.dry_run else 'Live'}\n\n")
f.write("## Summary\n\n")
f.write(f"- Total files processed: {len(czech_xxx_files)}\n")
for status, count in sorted(stats.items()):
if count > 0:
f.write(f"- {status}: {count}\n")
if cities_found:
f.write(f"\n## Cities Found ({len(cities_found)} unique)\n\n")
for city, count in sorted(cities_found.items(), key=lambda x: -x[1]):
f.write(f"- {city}: {count}\n")
print()
print(f"Report saved to: {report_file}")
if __name__ == '__main__':
main()

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scripts/enrich_czech_cities_fast.py Normal file
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#!/usr/bin/env python3
"""
Fast Czech city enrichment - extracts cities from institution names.
This is a simplified script that:
1. Extracts city names from Czech institution name patterns (v/ve + City)
2. Converts from Czech locative case to nominative
3. Validates against GeoNames
4. Updates custodian files with city codes
Usage:
python scripts/enrich_czech_cities_fast.py [--dry-run] [--limit N]
"""
import argparse
import hashlib
import os
import re
import shutil
import sqlite3
import uuid
import yaml
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, Optional
# Paths
PROJECT_ROOT = Path(__file__).parent.parent
CUSTODIAN_DIR = PROJECT_ROOT / "data" / "custodian"
GEONAMES_DB = PROJECT_ROOT / "data" / "reference" / "geonames.db"
REPORTS_DIR = PROJECT_ROOT / "reports"
# GHCID namespace for UUID generation
GHCID_NAMESPACE = uuid.UUID('6ba7b810-9dad-11d1-80b4-00c04fd430c8')
# Czech region mapping (GeoNames admin1 to ISO 3166-2:CZ)
CZECH_ADMIN1_MAP = {
'52': 'JC', '78': 'JM', '81': 'KA', '82': 'VY', '51': 'KR',
'53': 'LI', '84': 'MO', '85': 'OL', '86': 'PA', '54': 'PL',
'10': 'PR', '55': 'ST', '56': 'US', '87': 'ZL',
}
# Czech locative to nominative mappings
LOCATIVE_TO_NOMINATIVE = {
# Major cities
'Praze': 'Praha',
'Brně': 'Brno',
'Ostravě': 'Ostrava',
'Plzni': 'Plzeň',
'Olomouci': 'Olomouc',
'Liberci': 'Liberec',
'Opavě': 'Opava',
'Hradci Králové': 'Hradec Králové',
'Českých Budějovicích': 'České Budějovice',
'Pardubicích': 'Pardubice',
'Zlíně': 'Zlín',
'Kladně': 'Kladno',
'Havlíčkově Brodě': 'Havlíčkův Brod',
# Medium cities
'Prostějově': 'Prostějov',
'Domažlicích': 'Domažlice',
'Litoměřicích': 'Litoměřice',
'Klatovech': 'Klatovy',
'Kopřivnici': 'Kopřivnice',
'Pacově': 'Pacov',
'Táboře': 'Tábor',
'Písku': 'Písek',
'Trutnově': 'Trutnov',
'Chebu': 'Cheb',
'Karviné': 'Karviná',
'Havířově': 'Havířov',
'Mostě': 'Most',
'Chomutově': 'Chomutov',
'Teplicích': 'Teplice',
'Děčíně': 'Děčín',
'Jablonci nad Nisou': 'Jablonec nad Nisou',
'Mladé Boleslavi': 'Mladá Boleslav',
'Příbrami': 'Příbram',
'Kolíně': 'Kolín',
'Jihlavě': 'Jihlava',
'Třebíči': 'Třebíč',
'Znojmě': 'Znojmo',
'Břeclavi': 'Břeclav',
'Hodoníně': 'Hodonín',
'Vyškově': 'Vyškov',
'Kroměříži': 'Kroměříž',
'Vsetíně': 'Vsetín',
'Frýdku-Místku': 'Frýdek-Místek',
'Novém Jičíně': 'Nový Jičín',
'Šumperku': 'Šumperk',
'Přerově': 'Přerov',
'Prostějově': 'Prostějov',
'Uherském Hradišti': 'Uherské Hradiště',
'Svitavách': 'Svitavy',
'Chrudimi': 'Chrudim',
'Ústí nad Orlicí': 'Ústí nad Orlicí',
'Náchodě': 'Náchod',
'Rychnově nad Kněžnou': 'Rychnov nad Kněžnou',
'Semilech': 'Semily',
'Jičíně': 'Jičín',
'České Lípě': 'Česká Lípa',
'Lounech': 'Louny',
'Rakovníku': 'Rakovník',
'Berouně': 'Beroun',
'Benešově': 'Benešov',
'Kutné Hoře': 'Kutná Hora',
'Nymburce': 'Nymburk',
'Mělníku': 'Mělník',
'Sokolově': 'Sokolov',
'Rokycanech': 'Rokycany',
'Klatovech': 'Klatovy',
'Strakonicích': 'Strakonice',
'Českém Krumlově': 'Český Krumlov',
'Jindřichově Hradci': 'Jindřichův Hradec',
'Pelhřimově': 'Pelhřimov',
'Žďáru nad Sázavou': 'Žďár nad Sázavou',
# Compound patterns with "nad"
'Metují': 'Metuje', # Nové Město nad Metují
'Nisou': 'Nisa',
'Labem': 'Labe',
'Sázavou': 'Sázava',
'Kněžnou': 'Kněžná',
'Orlicí': 'Orlice',
}
def convert_locative_to_nominative(city: str) -> str:
"""Convert Czech locative case to nominative."""
# Try exact match first
if city in LOCATIVE_TO_NOMINATIVE:
return LOCATIVE_TO_NOMINATIVE[city]
# Try lowercase match
for locative, nominative in LOCATIVE_TO_NOMINATIVE.items():
if city.lower() == locative.lower():
return nominative
# Return as-is if no mapping
return city
def extract_city_from_name(name: str) -> Optional[str]:
"""Extract city name from Czech institution name patterns."""
if not name:
return None
# Pattern: "v/ve + City" (locative case)
patterns = [
r'\bv\s+([A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+(?:\s+(?:nad|pod)?\s*[A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+)*)',
r'\bve\s+([A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+(?:\s+(?:nad|pod)?\s*[A-ZÁČĎÉĚÍŇÓŘŠŤÚŮÝŽ][a-záčďéěíňóřšťúůýž]+)*)',
]
for pattern in patterns:
match = re.search(pattern, name)
if match:
city = match.group(1)
return convert_locative_to_nominative(city)
return None
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
if not city_name:
return 'XXX'
import unicodedata
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
skip_words = {'nad', 'pod', 'u', 'v', 've', 'na', 'do', 'z', 'ze', 'k', 'ke'}
words = ascii_name.split()
significant_words = [w for w in words if w.lower() not in skip_words]
if not significant_words:
significant_words = words
if len(significant_words) == 1:
return significant_words[0][:3].upper()
else:
return ''.join(w[0] for w in significant_words[:3]).upper()
def generate_ghcid_uuid(ghcid_string: str) -> str:
return str(uuid.uuid5(GHCID_NAMESPACE, ghcid_string))
def generate_ghcid_uuid_sha256(ghcid_string: str) -> str:
hash_bytes = hashlib.sha256(ghcid_string.encode('utf-8')).digest()[:16]
hash_bytes = bytearray(hash_bytes)
hash_bytes[6] = (hash_bytes[6] & 0x0F) | 0x80
hash_bytes[8] = (hash_bytes[8] & 0x3F) | 0x80
return str(uuid.UUID(bytes=bytes(hash_bytes)))
def generate_ghcid_numeric(ghcid_string: str) -> int:
hash_bytes = hashlib.sha256(ghcid_string.encode('utf-8')).digest()
return int.from_bytes(hash_bytes[:8], 'big')
def lookup_city_geonames(city_name: str, db_path: Path) -> Optional[Dict]:
"""Look up city in GeoNames database."""
try:
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# Try exact match
cursor.execute("""
SELECT geonames_id, name, ascii_name, latitude, longitude,
population, feature_code, admin1_code
FROM cities
WHERE country_code = 'CZ'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC')
AND (name = ? OR ascii_name = ? OR LOWER(name) = LOWER(?))
ORDER BY population DESC
LIMIT 1
""", (city_name, city_name, city_name))
row = cursor.fetchone()
if not row:
# Try prefix match
cursor.execute("""
SELECT geonames_id, name, ascii_name, latitude, longitude,
population, feature_code, admin1_code
FROM cities
WHERE country_code = 'CZ'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC')
AND (name LIKE ? OR ascii_name LIKE ?)
ORDER BY population DESC
LIMIT 1
""", (f"{city_name}%", f"{city_name}%"))
row = cursor.fetchone()
conn.close()
if row:
admin1_code = row[7]
return {
'geonames_id': row[0],
'geonames_name': row[1],
'ascii_name': row[2],
'latitude': row[3],
'longitude': row[4],
'population': row[5],
'feature_code': row[6],
'admin1_code': admin1_code,
'region_code': CZECH_ADMIN1_MAP.get(admin1_code),
}
return None
except Exception as e:
print(f" GeoNames error: {e}")
return None
def process_file(file_path: Path, dry_run: bool = True) -> Dict:
"""Process a single custodian file."""
result = {'status': 'unchanged', 'old_ghcid': None, 'new_ghcid': None, 'city': None, 'error': None}
try:
with open(file_path, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
if not data:
result['status'] = 'error'
result['error'] = 'Empty file'
return result
ghcid_current = data.get('ghcid', {}).get('ghcid_current', '')
if not ghcid_current.startswith('CZ-') or '-XXX-' not in ghcid_current:
result['status'] = 'skipped'
return result
result['old_ghcid'] = ghcid_current
# Get institution name
inst_name = data.get('original_entry', {}).get('name', '')
if not inst_name:
inst_name = data.get('custodian_name', {}).get('claim_value', '')
# Try to extract city from name
extracted_city = extract_city_from_name(inst_name)
if not extracted_city:
result['status'] = 'no_city_in_name'
return result
# Validate against GeoNames
geonames_data = lookup_city_geonames(extracted_city, GEONAMES_DB)
if not geonames_data:
result['status'] = 'city_not_in_geonames'
result['error'] = f'City not found in GeoNames: {extracted_city}'
return result
city_name = geonames_data['geonames_name']
city_code = generate_city_code(city_name)
region_code = geonames_data.get('region_code')
result['city'] = city_name
# Build new GHCID
parts = ghcid_current.split('-')
if len(parts) >= 5:
parts[2] = city_code
if region_code:
parts[1] = region_code
new_ghcid = '-'.join(parts)
else:
new_ghcid = ghcid_current.replace('-XXX-', f'-{city_code}-')
result['new_ghcid'] = new_ghcid
if new_ghcid == ghcid_current:
result['status'] = 'unchanged'
return result
if dry_run:
result['status'] = 'would_update'
return result
# Update the data
now = datetime.now(timezone.utc).isoformat()
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['ghcid_uuid'] = generate_ghcid_uuid(new_ghcid)
data['ghcid']['ghcid_uuid_sha256'] = generate_ghcid_uuid_sha256(new_ghcid)
data['ghcid']['ghcid_numeric'] = generate_ghcid_numeric(new_ghcid)
data['ghcid']['location_resolution'] = {
'method': 'EXTRACTED_FROM_NAME',
'city_name': city_name,
'city_code': city_code,
'region_code': region_code,
'country_code': 'CZ',
'enrichment_date': now,
'geonames_id': geonames_data['geonames_id'],
'geonames_name': geonames_data['geonames_name'],
'latitude': geonames_data['latitude'],
'longitude': geonames_data['longitude'],
}
# Add history entry
history = data['ghcid'].get('ghcid_history', [])
if history and isinstance(history[0], dict):
history[0]['valid_to'] = now
history.insert(0, {
'ghcid': new_ghcid,
'ghcid_numeric': data['ghcid']['ghcid_numeric'],
'valid_from': now,
'reason': f'City extracted from name: {city_name} -> {city_code}'
})
data['ghcid']['ghcid_history'] = history
# Update identifiers
for ident in data.get('identifiers', []):
if isinstance(ident, dict) and ident.get('identifier_scheme') == 'GHCID':
ident['identifier_value'] = new_ghcid
# Write updated file
with open(file_path, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
# Rename file
new_filename = f"{new_ghcid}.yaml"
new_path = file_path.parent / new_filename
if new_path != file_path and not new_path.exists():
shutil.move(file_path, new_path)
result['renamed_to'] = str(new_path.name)
result['status'] = 'updated'
return result
except Exception as e:
result['status'] = 'error'
result['error'] = str(e)
return result
def main():
parser = argparse.ArgumentParser(description='Fast Czech city enrichment from names')
parser.add_argument('--dry-run', action='store_true')
parser.add_argument('--limit', type=int)
parser.add_argument('--verbose', '-v', action='store_true')
args = parser.parse_args()
print("=" * 60)
print("CZECH CITY ENRICHMENT (Fast Mode)")
print("=" * 60)
if args.dry_run:
print("DRY RUN MODE")
czech_xxx_files = list(CUSTODIAN_DIR.glob("CZ-*-XXX-*.yaml"))
if args.limit:
czech_xxx_files = czech_xxx_files[:args.limit]
print(f"Found {len(czech_xxx_files)} Czech files with XXX placeholder")
stats = {}
cities_found = {}
for i, file_path in enumerate(czech_xxx_files, 1):
if i % 50 == 0:
print(f"Progress: {i}/{len(czech_xxx_files)}")
result = process_file(file_path, dry_run=args.dry_run)
stats[result['status']] = stats.get(result['status'], 0) + 1
if result.get('city'):
cities_found[result['city']] = cities_found.get(result['city'], 0) + 1
if args.verbose and result['status'] in ('updated', 'would_update'):
print(f" {result['old_ghcid']} -> {result['new_ghcid']} ({result['city']})")
print()
print("=" * 60)
print("SUMMARY")
print("=" * 60)
print(f"Total processed: {len(czech_xxx_files)}")
for status, count in sorted(stats.items()):
if count > 0:
print(f" {status}: {count}")
if cities_found:
print(f"\nCities found: {len(cities_found)} unique")
print("Top 10:")
for city, count in sorted(cities_found.items(), key=lambda x: -x[1])[:10]:
print(f" {city}: {count}")
# Save report
REPORTS_DIR.mkdir(exist_ok=True)
report_file = REPORTS_DIR / f"CZECH_CITY_FAST_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
with open(report_file, 'w') as f:
f.write(f"# Czech City Enrichment (Fast Mode)\n\n")
f.write(f"**Date**: {datetime.now().isoformat()}\n")
f.write(f"**Mode**: {'Dry Run' if args.dry_run else 'Live'}\n\n")
f.write(f"## Results\n")
for status, count in sorted(stats.items()):
f.write(f"- {status}: {count}\n")
print(f"\nReport: {report_file}")
if __name__ == '__main__':
main()

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scripts/enrich_japanese_cities.py Executable file
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#!/usr/bin/env python3
"""
Enrich Japanese custodian files with city/region data using Google Places API.
This script:
1. Finds Japanese XXX files (no city/region resolved)
2. Uses Google Places API to search for each institution
3. Extracts location data (city, prefecture, coordinates)
4. Updates GHCID with proper region/city codes
5. Adds Google Maps enrichment data
Usage:
python scripts/enrich_japanese_cities.py [--dry-run] [--limit N]
Environment Variables:
GOOGLE_PLACES_TOKEN - Required: Google Cloud API key with Places API enabled
"""
import os
import sys
import time
import sqlite3
import re
import argparse
from pathlib import Path
from datetime import datetime, timezone
from typing import Optional
import yaml
import httpx
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Configuration
GOOGLE_PLACES_TOKEN = os.getenv("GOOGLE_PLACES_TOKEN", "")
GEONAMES_DB = Path("/Users/kempersc/apps/glam/data/reference/geonames.db")
CUSTODIAN_DIR = Path("/Users/kempersc/apps/glam/data/custodian")
# Google Places API
TEXT_SEARCH_URL = "https://places.googleapis.com/v1/places:searchText"
REQUEST_DELAY = 0.3 # Rate limiting
# Japanese prefecture GeoNames admin1_code to ISO 3166-2:JP mapping
ADMIN1_TO_ISO = {
'01': 'AI', # Aichi
'02': 'AK', # Akita
'03': 'AO', # Aomori
'04': 'CH', # Chiba
'05': 'EH', # Ehime
'06': 'FI', # Fukui
'07': 'FO', # Fukuoka
'08': 'FS', # Fukushima
'09': 'GI', # Gifu
'10': 'GU', # Gunma
'11': 'HS', # Hiroshima
'12': 'HO', # Hokkaido
'13': 'HG', # Hyogo
'14': 'IB', # Ibaraki
'15': 'IS', # Ishikawa
'16': 'IW', # Iwate
'17': 'KA', # Kagawa
'18': 'KS', # Kagoshima
'19': 'KN', # Kanagawa
'20': 'KC', # Kochi
'21': 'KM', # Kumamoto
'22': 'KY', # Kyoto
'23': 'ME', # Mie
'24': 'MG', # Miyagi
'25': 'MZ', # Miyazaki
'26': 'NN', # Nagano
'27': 'NS', # Nagasaki
'28': 'NR', # Nara
'29': 'NI', # Niigata
'30': 'OT', # Oita
'31': 'OK', # Okayama
'32': 'OS', # Osaka
'33': 'SG', # Saga
'34': 'ST', # Saitama
'35': 'SI', # Shiga
'36': 'SM', # Shimane
'37': 'SZ', # Shizuoka
'38': 'TC', # Tochigi
'39': 'TS', # Tokushima
'40': 'TK', # Tokyo
'41': 'TT', # Tottori
'42': 'TY', # Toyama
'43': 'WK', # Wakayama
'44': 'YG', # Yamagata
'45': 'YM', # Yamaguchi
'46': 'YN', # Yamanashi
'47': 'ON', # Okinawa
}
# Reverse mapping for lookup by prefecture name
PREFECTURE_TO_ISO = {
'Aichi': 'AI', 'Akita': 'AK', 'Aomori': 'AO', 'Chiba': 'CH', 'Ehime': 'EH',
'Fukui': 'FI', 'Fukuoka': 'FO', 'Fukushima': 'FS', 'Gifu': 'GI', 'Gunma': 'GU',
'Hiroshima': 'HS', 'Hokkaido': 'HO', 'Hyogo': 'HG', 'Hyōgo': 'HG',
'Ibaraki': 'IB', 'Ishikawa': 'IS', 'Iwate': 'IW', 'Kagawa': 'KA',
'Kagoshima': 'KS', 'Kanagawa': 'KN', 'Kochi': 'KC', 'Kumamoto': 'KM',
'Kyoto': 'KY', 'Mie': 'ME', 'Miyagi': 'MG', 'Miyazaki': 'MZ',
'Nagano': 'NN', 'Nagasaki': 'NS', 'Nara': 'NR', 'Niigata': 'NI',
'Oita': 'OT', 'Okayama': 'OK', 'Osaka': 'OS', 'Saga': 'SG',
'Saitama': 'ST', 'Shiga': 'SI', 'Shimane': 'SM', 'Shizuoka': 'SZ',
'Tochigi': 'TC', 'Tokushima': 'TS', 'Tokyo': 'TK', 'Tottori': 'TT',
'Toyama': 'TY', 'Wakayama': 'WK', 'Yamagata': 'YG', 'Yamaguchi': 'YM',
'Yamanashi': 'YN', 'Okinawa': 'ON',
# Alternative spellings from address strings
'Tokyo To': 'TK', 'Osaka Fu': 'OS', 'Kyoto Fu': 'KY', 'Hokkaido': 'HO',
'Aichi Ken': 'AI', 'Hyogo Ken': 'HG', 'Kanagawa Ken': 'KN',
}
def get_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
# Clean suffixes common in Japanese city names
name = city_name.strip()
for suffix in [' Shi', ' Ku', ' Cho', ' Machi', ' Mura', ' Gun', ' City', '-shi', '-ku']:
if name.endswith(suffix):
name = name[:-len(suffix)]
words = name.split()
if len(words) == 1:
return name[:3].upper()
elif len(words) == 2:
return (words[0][0] + words[1][:2]).upper()
else:
return ''.join(w[0] for w in words[:3]).upper()
def search_google_places(query: str, api_key: str, country_bias: str = "JP") -> Optional[dict]:
"""Search Google Places API for a location."""
headers = {
"Content-Type": "application/json",
"X-Goog-Api-Key": api_key,
"X-Goog-FieldMask": "places.displayName,places.formattedAddress,places.location,places.addressComponents,places.types,places.id,places.websiteUri"
}
payload = {
"textQuery": query,
"languageCode": "en"
}
try:
response = httpx.post(TEXT_SEARCH_URL, json=payload, headers=headers, timeout=30)
response.raise_for_status()
data = response.json()
if "places" in data and len(data["places"]) > 0:
return data["places"][0]
return None
except Exception as e:
print(f" Error searching Google Places: {e}")
return None
def extract_location_from_google(place: dict) -> dict:
"""Extract location information from Google Places result."""
result = {
'city': None,
'prefecture': None,
'prefecture_code': None,
'latitude': None,
'longitude': None,
'formatted_address': None,
'place_id': None,
'website': None,
}
if not place:
return result
result['place_id'] = place.get('id')
result['formatted_address'] = place.get('formattedAddress')
result['website'] = place.get('websiteUri')
# Get coordinates
location = place.get('location', {})
result['latitude'] = location.get('latitude')
result['longitude'] = location.get('longitude')
# Parse address components
components = place.get('addressComponents', [])
for comp in components:
types = comp.get('types', [])
long_name = comp.get('longText', '')
if 'locality' in types:
result['city'] = long_name
elif 'administrative_area_level_1' in types:
result['prefecture'] = long_name
# Try to get ISO code
result['prefecture_code'] = PREFECTURE_TO_ISO.get(long_name)
elif 'sublocality_level_1' in types and not result['city']:
# Use ward/sublocality as city if no locality
result['city'] = long_name
return result
def lookup_city_geonames(conn: sqlite3.Connection, lat: float, lon: float) -> Optional[dict]:
"""Reverse geocode coordinates to find nearest city in GeoNames."""
cursor = conn.cursor()
cursor.execute("""
SELECT name, ascii_name, admin1_code, admin1_name, geonames_id,
latitude, longitude, population, feature_code,
((latitude - ?) * (latitude - ?) + (longitude - ?) * (longitude - ?)) as dist_sq
FROM cities
WHERE country_code = 'JP'
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
ORDER BY dist_sq
LIMIT 1
""", (lat, lat, lon, lon))
row = cursor.fetchone()
if row:
return {
'name': row[0],
'ascii_name': row[1],
'admin1_code': row[2],
'admin1_name': row[3],
'geonames_id': row[4],
'latitude': row[5],
'longitude': row[6],
'population': row[7],
'feature_code': row[8],
}
return None
def process_file(filepath: Path, conn: sqlite3.Connection, api_key: str, dry_run: bool = False) -> dict:
"""Process a single Japanese custodian file."""
result = {
'file': str(filepath),
'status': 'skipped',
'old_ghcid': None,
'new_ghcid': None,
'city': None,
'prefecture': None,
'error': None,
}
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
result['status'] = 'error'
result['error'] = f'Failed to load YAML: {e}'
return result
if not data:
result['status'] = 'error'
result['error'] = 'Empty YAML file'
return result
# Get current GHCID
ghcid_data = data.get('ghcid', {})
old_ghcid = ghcid_data.get('ghcid_current', '')
result['old_ghcid'] = old_ghcid
if not old_ghcid.startswith('JP-XX-XXX-'):
result['status'] = 'skipped'
result['error'] = 'Not a JP-XX-XXX file'
return result
# Get institution name for search
name = data.get('custodian_name', {}).get('claim_value', '')
if not name:
name = data.get('original_entry', {}).get('name', '')
if not name:
result['status'] = 'error'
result['error'] = 'No institution name found'
return result
# Search Google Places
print(f" Searching: {name[:50]}...")
place = search_google_places(f"{name} Japan", api_key)
time.sleep(REQUEST_DELAY)
if not place:
result['status'] = 'error'
result['error'] = 'Not found in Google Places'
return result
# Extract location
location_info = extract_location_from_google(place)
if not location_info['latitude'] or not location_info['longitude']:
result['status'] = 'error'
result['error'] = 'No coordinates from Google'
return result
# Lookup in GeoNames for city code
city_info = lookup_city_geonames(conn, location_info['latitude'], location_info['longitude'])
if not city_info:
result['status'] = 'error'
result['error'] = 'City not found in GeoNames'
return result
# Determine region code
admin1_code = city_info['admin1_code']
region_code = ADMIN1_TO_ISO.get(admin1_code, 'XX')
if region_code == 'XX':
# Try from Google address
region_code = location_info.get('prefecture_code', 'XX')
# Generate city code
city_code = get_city_code(city_info['ascii_name'])
result['city'] = city_info['ascii_name']
result['prefecture'] = city_info['admin1_name']
# Build new GHCID
parts = old_ghcid.split('-')
if len(parts) >= 5:
inst_type = parts[3]
abbreviation = '-'.join(parts[4:])
else:
result['status'] = 'error'
result['error'] = f'Invalid GHCID format: {old_ghcid}'
return result
new_ghcid = f'JP-{region_code}-{city_code}-{inst_type}-{abbreviation}'
result['new_ghcid'] = new_ghcid
if dry_run:
result['status'] = 'would_update'
return result
# Update the data
timestamp = datetime.now(timezone.utc).isoformat()
# Update ghcid section
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['location_resolution'] = {
'method': 'GOOGLE_PLACES_GEONAMES',
'country_code': 'JP',
'region_code': region_code,
'region_name': city_info['admin1_name'],
'city_code': city_code,
'city_name': city_info['ascii_name'],
'geonames_id': city_info['geonames_id'],
'feature_code': city_info['feature_code'],
'google_place_id': location_info.get('place_id'),
'latitude': location_info['latitude'],
'longitude': location_info['longitude'],
'resolution_date': timestamp,
}
# Add Google Maps enrichment
data['google_maps_enrichment'] = {
'place_id': location_info.get('place_id'),
'formatted_address': location_info.get('formatted_address'),
'website': location_info.get('website'),
'latitude': location_info['latitude'],
'longitude': location_info['longitude'],
'enriched_at': timestamp,
'source': 'Google Places API (New)',
}
# Update location in original_entry
if 'original_entry' in data and 'locations' in data['original_entry']:
if data['original_entry']['locations']:
data['original_entry']['locations'][0]['city'] = city_info['ascii_name']
data['original_entry']['locations'][0]['region'] = city_info['admin1_name']
if location_info['latitude']:
data['original_entry']['locations'][0]['latitude'] = location_info['latitude']
data['original_entry']['locations'][0]['longitude'] = location_info['longitude']
# Add to GHCID history
if 'ghcid_history' not in data['ghcid']:
data['ghcid']['ghcid_history'] = []
for entry in data['ghcid']['ghcid_history']:
if entry.get('ghcid') == old_ghcid and not entry.get('valid_to'):
entry['valid_to'] = timestamp
data['ghcid']['ghcid_history'].append({
'ghcid': new_ghcid,
'ghcid_numeric': data['ghcid'].get('ghcid_numeric'),
'valid_from': timestamp,
'reason': f'Location resolved via Google Places + GeoNames: {city_info["ascii_name"]} ({region_code})',
})
# Update identifiers
if 'identifiers' in data:
for identifier in data['identifiers']:
if identifier.get('identifier_scheme') == 'GHCID':
identifier['identifier_value'] = new_ghcid
# Write updated data
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
# Rename file
new_filename = f'{new_ghcid}.yaml'
new_filepath = filepath.parent / new_filename
if filepath != new_filepath and not new_filepath.exists():
filepath.rename(new_filepath)
result['new_file'] = str(new_filepath)
elif new_filepath.exists() and filepath != new_filepath:
result['status'] = 'collision'
result['error'] = f'Target file exists: {new_filepath.name}'
return result
result['status'] = 'updated'
return result
def main():
parser = argparse.ArgumentParser(description='Enrich Japanese custodian files with Google Places data')
parser.add_argument('--dry-run', action='store_true', help='Show what would be done')
parser.add_argument('--limit', type=int, help='Limit number of files to process')
args = parser.parse_args()
if not GOOGLE_PLACES_TOKEN:
print("ERROR: GOOGLE_PLACES_TOKEN environment variable is required")
print("Set it in .env file or export GOOGLE_PLACES_TOKEN=...")
sys.exit(1)
if not GEONAMES_DB.exists():
print(f"ERROR: GeoNames database not found: {GEONAMES_DB}")
sys.exit(1)
# Find Japanese XXX files
files = sorted(CUSTODIAN_DIR.glob('JP-XX-XXX-*.yaml'))
if args.limit:
files = files[:args.limit]
print(f"Found {len(files)} Japanese XXX files")
print(f"Dry run: {args.dry_run}")
print()
conn = sqlite3.connect(str(GEONAMES_DB))
stats = {'updated': 0, 'error': 0, 'skipped': 0, 'would_update': 0, 'collision': 0}
errors = []
for filepath in files:
print(f"Processing: {filepath.name}")
result = process_file(filepath, conn, GOOGLE_PLACES_TOKEN, dry_run=args.dry_run)
stats[result['status']] = stats.get(result['status'], 0) + 1
if result['status'] in ('updated', 'would_update'):
print(f" ✓ {result['city']} ({result['prefecture']}): {result['old_ghcid']} → {result['new_ghcid']}")
elif result['status'] == 'error':
print(f" ✗ {result['error']}")
errors.append(result)
elif result['status'] == 'collision':
print(f" ⚠ {result['error']}")
conn.close()
print()
print('=' * 60)
print('Summary:')
print(f" Updated: {stats.get('updated', 0)}")
print(f" Would update: {stats.get('would_update', 0)}")
print(f" Errors: {stats.get('error', 0)}")
print(f" Collisions: {stats.get('collision', 0)}")
print(f" Skipped: {stats.get('skipped', 0)}")
if errors:
print()
print('Files with errors (may need manual research):')
for err in errors[:10]:
print(f" - {Path(err['file']).name}: {err['error']}")
if __name__ == '__main__':
main()

559
scripts/enrich_swiss_isil_cities.py Normal file
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#!/usr/bin/env python3
"""
Enrich Swiss ISIL custodian files with city data from the Swiss ISIL website.
For Swiss custodian files with XXX city placeholder, this script:
1. Loads the source CH-Annotator file to get ISIL URLs by institution name
2. Fetches the institution page from isil.nb.admin.ch
3. Extracts city (Location) and address data
4. Reverse geocodes using GeoNames to get proper city code
5. Updates the GHCID with correct city code
6. Renames the file if GHCID changes
Usage:
python scripts/enrich_swiss_isil_cities.py [--dry-run] [--limit N]
"""
import argparse
import hashlib
import os
import re
import shutil
import sqlite3
import time
import uuid
import yaml
import requests
from bs4 import BeautifulSoup
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Tuple
# Paths
PROJECT_ROOT = Path(__file__).parent.parent
CUSTODIAN_DIR = PROJECT_ROOT / "data" / "custodian"
GEONAMES_DB = PROJECT_ROOT / "data" / "reference" / "geonames.db"
REPORTS_DIR = PROJECT_ROOT / "reports"
SWISS_CH_ANNOTATOR_FILE = PROJECT_ROOT / "data" / "instances" / "switzerland_isil_ch_annotator.yaml"
# GHCID namespace for UUID generation
GHCID_NAMESPACE = uuid.UUID('6ba7b810-9dad-11d1-80b4-00c04fd430c8')
# Rate limiting
REQUEST_DELAY = 1.0 # seconds between requests
# Swiss canton codes (already ISO 3166-2)
SWISS_CANTON_CODES = {
'Aargau': 'AG', 'Appenzell Ausserrhoden': 'AR', 'Appenzell Innerrhoden': 'AI',
'Basel-Landschaft': 'BL', 'Basel-Stadt': 'BS', 'Bern': 'BE', 'Fribourg': 'FR',
'Geneva': 'GE', 'Glarus': 'GL', 'Graubünden': 'GR', 'Jura': 'JU', 'Lucerne': 'LU',
'Neuchâtel': 'NE', 'Nidwalden': 'NW', 'Obwalden': 'OW', 'Schaffhausen': 'SH',
'Schwyz': 'SZ', 'Solothurn': 'SO', 'St. Gallen': 'SG', 'Thurgau': 'TG',
'Ticino': 'TI', 'Uri': 'UR', 'Valais': 'VS', 'Vaud': 'VD', 'Zug': 'ZG', 'Zürich': 'ZH',
# German names
'Genf': 'GE', 'Luzern': 'LU', 'Neuenburg': 'NE', 'Wallis': 'VS', 'Waadt': 'VD',
# French names
'Genève': 'GE', 'Lucerne': 'LU', 'Valais': 'VS', 'Vaud': 'VD', 'Fribourg': 'FR',
# Italian names
'Ginevra': 'GE', 'Grigioni': 'GR', 'Ticino': 'TI', 'Vallese': 'VS',
}
def load_swiss_isil_lookup() -> Dict[str, str]:
"""Load Swiss CH-Annotator source file and create name -> ISIL URL lookup."""
lookup = {}
if not SWISS_CH_ANNOTATOR_FILE.exists():
print(f"Warning: Swiss CH-Annotator file not found: {SWISS_CH_ANNOTATOR_FILE}")
return lookup
print(f"Loading Swiss CH-Annotator source file...")
with open(SWISS_CH_ANNOTATOR_FILE, 'r', encoding='utf-8') as f:
entries = yaml.safe_load(f)
if not entries:
return lookup
for entry in entries:
if not isinstance(entry, dict):
continue
name = entry.get('name', '')
if not name:
continue
# Look for ISIL URL in digital_platforms
for platform in entry.get('digital_platforms', []):
if isinstance(platform, dict):
url = platform.get('platform_url', '')
if 'isil.nb.admin.ch' in url:
lookup[name] = url
break
print(f" Loaded {len(lookup)} institutions with ISIL URLs")
return lookup
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
if not city_name:
return 'XXX'
# Remove diacritics and normalize
import unicodedata
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Skip articles and prepositions
skip_words = {'de', 'la', 'le', 'les', 'du', 'des', 'von', 'am', 'im', 'an', 'der', 'die', 'das'}
words = ascii_name.split()
significant_words = [w for w in words if w.lower() not in skip_words]
if not significant_words:
significant_words = words
if len(significant_words) == 1:
# Single word: first 3 letters
return significant_words[0][:3].upper()
else:
# Multiple words: initials
return ''.join(w[0] for w in significant_words[:3]).upper()
def generate_ghcid_uuid(ghcid_string: str) -> str:
"""Generate deterministic UUID v5 from GHCID string."""
return str(uuid.uuid5(GHCID_NAMESPACE, ghcid_string))
def generate_ghcid_uuid_sha256(ghcid_string: str) -> str:
"""Generate UUID v8 style from SHA-256 hash."""
hash_bytes = hashlib.sha256(ghcid_string.encode('utf-8')).digest()[:16]
hash_bytes = bytearray(hash_bytes)
hash_bytes[6] = (hash_bytes[6] & 0x0F) | 0x80 # version 8
hash_bytes[8] = (hash_bytes[8] & 0x3F) | 0x80 # variant
return str(uuid.UUID(bytes=bytes(hash_bytes)))
def generate_ghcid_numeric(ghcid_string: str) -> int:
"""Generate 64-bit numeric ID from SHA-256 hash."""
hash_bytes = hashlib.sha256(ghcid_string.encode('utf-8')).digest()
return int.from_bytes(hash_bytes[:8], 'big')
def fetch_isil_page(isil_url: str, session: requests.Session) -> Optional[Dict]:
"""Fetch and parse Swiss ISIL institution page."""
try:
response = session.get(isil_url, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
result = {}
# Find all dt/dd pairs in the definition lists
for dt in soup.find_all('dt'):
label = dt.get_text(strip=True)
dd = dt.find_next_sibling('dd')
if dd:
value = dd.get_text(strip=True)
if label == 'Location':
result['city'] = value
elif label == 'Zip code':
result['postal_code'] = value
elif label == 'Street and number':
result['street_address'] = value
elif label == 'Canton':
result['canton'] = value
result['region'] = SWISS_CANTON_CODES.get(value, value[:2].upper() if len(value) >= 2 else None)
return result if result.get('city') else None
except Exception as e:
print(f" Error fetching {isil_url}: {e}")
return None
def reverse_geocode_city(city_name: str, region_code: str, country_code: str, db_path: Path) -> Optional[Dict]:
"""Look up city in GeoNames database to get coordinates and proper data."""
try:
conn = sqlite3.connect(db_path)
cursor = conn.cursor()
# Swiss admin1 codes in GeoNames
swiss_admin1_map = {
'AG': '01', 'AR': '15', 'AI': '16', 'BL': '06', 'BS': '05',
'BE': '02', 'FR': '04', 'GE': '07', 'GL': '08', 'GR': '03',
'JU': '26', 'LU': '09', 'NE': '10', 'NW': '11', 'OW': '12',
'SH': '14', 'SZ': '17', 'SO': '13', 'SG': '18', 'TG': '20',
'TI': '21', 'UR': '19', 'VS': '22', 'VD': '23', 'ZG': '25', 'ZH': '24'
}
admin1_code = swiss_admin1_map.get(region_code)
# Try exact match first
query = """
SELECT geonames_id, name, ascii_name, latitude, longitude,
population, feature_code, admin1_code, admin1_name
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (name = ? OR ascii_name = ? OR LOWER(name) = LOWER(?))
"""
if admin1_code:
query += " AND admin1_code = ?"
cursor.execute(query + " ORDER BY population DESC LIMIT 1",
(country_code, city_name, city_name, city_name, admin1_code))
else:
cursor.execute(query + " ORDER BY population DESC LIMIT 1",
(country_code, city_name, city_name, city_name))
row = cursor.fetchone()
if row:
return {
'geonames_id': row[0],
'geonames_name': row[1],
'ascii_name': row[2],
'latitude': row[3],
'longitude': row[4],
'population': row[5],
'feature_code': row[6],
'admin1_code': row[7],
'admin1_name': row[8]
}
# Try fuzzy match
cursor.execute("""
SELECT geonames_id, name, ascii_name, latitude, longitude,
population, feature_code, admin1_code, admin1_name
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (name LIKE ? OR ascii_name LIKE ?)
ORDER BY population DESC
LIMIT 1
""", (country_code, f"{city_name}%", f"{city_name}%"))
row = cursor.fetchone()
conn.close()
if row:
return {
'geonames_id': row[0],
'geonames_name': row[1],
'ascii_name': row[2],
'latitude': row[3],
'longitude': row[4],
'population': row[5],
'feature_code': row[6],
'admin1_code': row[7],
'admin1_name': row[8]
}
return None
except Exception as e:
print(f" GeoNames lookup error: {e}")
return None
def process_file(file_path: Path, session: requests.Session, isil_lookup: Dict[str, str], dry_run: bool = True) -> Dict:
"""Process a single custodian file."""
result = {
'status': 'unchanged',
'old_ghcid': None,
'new_ghcid': None,
'city': None,
'error': None
}
try:
with open(file_path, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
if not data:
result['status'] = 'error'
result['error'] = 'Empty file'
return result
# Check if this is a Swiss file with XXX city placeholder
ghcid_current = data.get('ghcid', {}).get('ghcid_current', '')
if not ghcid_current.startswith('CH-') or '-XXX-' not in ghcid_current:
result['status'] = 'skipped'
return result
result['old_ghcid'] = ghcid_current
# Get institution name for lookup
inst_name = data.get('original_entry', {}).get('name', '')
if not inst_name:
inst_name = data.get('custodian_name', {}).get('claim_value', '')
# Find ISIL URL - first try lookup by name
isil_url = isil_lookup.get(inst_name)
# Then check identifiers in the file
if not isil_url:
identifiers = data.get('identifiers', [])
for ident in identifiers:
if isinstance(ident, dict) and ident.get('identifier_scheme') == 'ISIL':
url = ident.get('identifier_url', '')
if 'isil.nb.admin.ch' in url:
isil_url = url
break
# Also check original_entry.identifiers
if not isil_url:
original_identifiers = data.get('original_entry', {}).get('identifiers', [])
for ident in original_identifiers:
if isinstance(ident, dict) and ident.get('identifier_scheme') == 'ISIL':
url = ident.get('identifier_url', '')
if 'isil.nb.admin.ch' in url:
isil_url = url
break
if not isil_url:
result['status'] = 'no_isil_url'
result['error'] = f'No ISIL URL found for: {inst_name}'
return result
# Convert to proper page URL format
if '?isil=' in isil_url:
isil_code = isil_url.split('?isil=')[-1]
# Convert to institution page URL
isil_url = f"https://www.isil.nb.admin.ch/en/?isil={isil_code}"
# Fetch city data from ISIL website
time.sleep(REQUEST_DELAY)
isil_data = fetch_isil_page(isil_url, session)
if not isil_data or not isil_data.get('city'):
result['status'] = 'no_city_found'
return result
city_name = isil_data['city']
result['city'] = city_name
# Get region from GHCID or ISIL data
parts = ghcid_current.split('-')
region_code = parts[1] if len(parts) > 1 else isil_data.get('region', 'XX')
# Generate city code
city_code = generate_city_code(city_name)
# Try to get GeoNames data for coordinates
geonames_data = reverse_geocode_city(city_name, region_code, 'CH', GEONAMES_DB)
# Build new GHCID
# Format: CH-{region}-{city}-{type}-{abbrev}[-{suffix}]
new_ghcid = ghcid_current.replace('-XXX-', f'-{city_code}-')
result['new_ghcid'] = new_ghcid
if new_ghcid == ghcid_current:
result['status'] = 'unchanged'
return result
if dry_run:
result['status'] = 'would_update'
return result
# Update the data
now = datetime.now(timezone.utc).isoformat()
# Update GHCID
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['ghcid_uuid'] = generate_ghcid_uuid(new_ghcid)
data['ghcid']['ghcid_uuid_sha256'] = generate_ghcid_uuid_sha256(new_ghcid)
data['ghcid']['ghcid_numeric'] = generate_ghcid_numeric(new_ghcid)
# Update location_resolution
location_resolution = {
'method': 'SWISS_ISIL_ENRICHMENT',
'city_name': city_name,
'city_code': city_code,
'region_code': region_code,
'country_code': 'CH',
'enrichment_date': now,
'source_url': isil_url
}
if geonames_data:
location_resolution.update({
'geonames_id': geonames_data['geonames_id'],
'geonames_name': geonames_data['geonames_name'],
'feature_code': geonames_data['feature_code'],
'population': geonames_data['population'],
'latitude': geonames_data['latitude'],
'longitude': geonames_data['longitude']
})
data['ghcid']['location_resolution'] = location_resolution
# Add GHCID history entry
history = data['ghcid'].get('ghcid_history', [])
if history:
# Close previous entry
history[0]['valid_to'] = now
history.insert(0, {
'ghcid': new_ghcid,
'ghcid_numeric': data['ghcid']['ghcid_numeric'],
'valid_from': now,
'valid_to': None,
'reason': f'City code updated from Swiss ISIL enrichment: {city_name} -> {city_code}'
})
data['ghcid']['ghcid_history'] = history
# Update location in original_entry if exists
if 'locations' in data.get('original_entry', {}):
for loc in data['original_entry']['locations']:
if isinstance(loc, dict) and not loc.get('city'):
loc['city'] = city_name
if isil_data.get('postal_code'):
loc['postal_code'] = isil_data['postal_code']
if isil_data.get('street_address'):
loc['street_address'] = isil_data['street_address']
# Update identifiers
for ident in data.get('identifiers', []):
if isinstance(ident, dict) and ident.get('identifier_scheme') == 'GHCID':
ident['identifier_value'] = new_ghcid
# Write updated file
with open(file_path, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
# Rename file if GHCID changed
new_filename = f"{new_ghcid}.yaml"
new_path = file_path.parent / new_filename
if new_path != file_path and not new_path.exists():
shutil.move(file_path, new_path)
result['renamed_to'] = str(new_path.name)
result['status'] = 'updated'
return result
except Exception as e:
result['status'] = 'error'
result['error'] = str(e)
return result
def main():
parser = argparse.ArgumentParser(description='Enrich Swiss ISIL custodian files with city data')
parser.add_argument('--dry-run', action='store_true', help='Show what would be done without making changes')
parser.add_argument('--limit', type=int, help='Limit number of files to process')
parser.add_argument('--verbose', '-v', action='store_true', help='Show verbose output')
args = parser.parse_args()
print("=" * 60)
print("SWISS ISIL CITY ENRICHMENT")
print("=" * 60)
if args.dry_run:
print("DRY RUN MODE - No files will be modified")
# Find Swiss files with XXX city placeholder
swiss_xxx_files = list(CUSTODIAN_DIR.glob("CH-*-XXX-*.yaml"))
if args.limit:
swiss_xxx_files = swiss_xxx_files[:args.limit]
print(f"Limited to {args.limit} files")
print(f"Found {len(swiss_xxx_files)} Swiss files with XXX city placeholder")
print()
# Load Swiss ISIL lookup from CH-Annotator source file
isil_lookup = load_swiss_isil_lookup()
# Process files
session = requests.Session()
session.headers['User-Agent'] = 'GLAMDataExtractor/1.0 (heritage-data-enrichment)'
stats = {
'updated': 0,
'would_update': 0,
'unchanged': 0,
'skipped': 0,
'no_isil_url': 0,
'no_city_found': 0,
'error': 0
}
cities_found = {}
errors = []
for i, file_path in enumerate(swiss_xxx_files, 1):
if i % 100 == 0 or args.verbose:
print(f"Progress: {i}/{len(swiss_xxx_files)}")
result = process_file(file_path, session, isil_lookup, dry_run=args.dry_run)
stats[result['status']] = stats.get(result['status'], 0) + 1
if result.get('city'):
cities_found[result['city']] = cities_found.get(result['city'], 0) + 1
if result.get('error'):
errors.append(f"{file_path.name}: {result['error']}")
if args.verbose and result['status'] in ('updated', 'would_update'):
print(f" {file_path.name}")
print(f" City: {result.get('city')}")
print(f" {result['old_ghcid']} -> {result['new_ghcid']}")
# Print summary
print()
print("=" * 60)
print("SUMMARY")
print("=" * 60)
print(f"Total files processed: {len(swiss_xxx_files)}")
print()
print("Results:")
for status, count in sorted(stats.items()):
if count > 0:
print(f" {status}: {count}")
if cities_found:
print()
print(f"Cities found: {len(cities_found)} unique")
print("Top 10 cities:")
for city, count in sorted(cities_found.items(), key=lambda x: -x[1])[:10]:
print(f" {city}: {count}")
if errors:
print()
print(f"Errors ({len(errors)}):")
for err in errors[:10]:
print(f" {err}")
if len(errors) > 10:
print(f" ... and {len(errors) - 10} more")
# Save report
REPORTS_DIR.mkdir(exist_ok=True)
report_file = REPORTS_DIR / f"SWISS_ISIL_ENRICHMENT_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
with open(report_file, 'w') as f:
f.write("# Swiss ISIL City Enrichment Report\n\n")
f.write(f"**Date**: {datetime.now().isoformat()}\n")
f.write(f"**Mode**: {'Dry Run' if args.dry_run else 'Live'}\n\n")
f.write("## Summary\n\n")
f.write(f"- Total files processed: {len(swiss_xxx_files)}\n")
for status, count in sorted(stats.items()):
if count > 0:
f.write(f"- {status}: {count}\n")
if cities_found:
f.write(f"\n## Cities Found ({len(cities_found)} unique)\n\n")
for city, count in sorted(cities_found.items(), key=lambda x: -x[1]):
f.write(f"- {city}: {count}\n")
print()
print(f"Report saved to: {report_file}")
if __name__ == '__main__':
main()

567
scripts/extract_locations_ch_annotator.py Executable file
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#!/usr/bin/env python3
"""
Extract and resolve locations from custodian files using CH-Annotator convention.
This script follows CH-Annotator v1.7.0 TOPONYM (TOP) hypernym for:
- TOP.SET: Settlements (cities, towns, villages)
- TOP.REG: Regions (provinces, states)
- TOP.CTY: Countries
Following AGENTS.md Rules:
- Rule 5: Additive only - never delete existing data
- Rule 10: CH-Annotator is the entity annotation convention
- GHCID settlement standardization: GeoNames is authoritative
"""
import os
import sys
import yaml
import sqlite3
import re
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Dict, Any, List, Tuple
# GeoNames database path
GEONAMES_DB = Path(__file__).parent.parent / "data/reference/geonames.db"
# Feature codes for proper settlements (EXCLUDE PPLX neighborhoods)
SETTLEMENT_FEATURE_CODES = ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
# Admin1 to ISO 3166-2 mappings by country
ADMIN1_TO_ISO = {
'BE': {
'BRU': 'BRU', # Brussels-Capital
'VLG': 'VLG', # Flanders
'WAL': 'WAL', # Wallonia
'VAN': 'VAN', # Antwerp
'VBR': 'VBR', # Flemish Brabant
'VLI': 'VLI', # Limburg
'VOV': 'VOV', # East Flanders
'VWV': 'VWV', # West Flanders
'WBR': 'WBR', # Walloon Brabant
'WHT': 'WHT', # Hainaut
'WLG': 'WLG', # Liège
'WLX': 'WLX', # Luxembourg
'WNA': 'WNA', # Namur
},
'AT': {
'01': '1', # Burgenland
'02': '2', # Kärnten
'03': '3', # Niederösterreich
'04': '4', # Oberösterreich
'05': '5', # Salzburg
'06': '6', # Steiermark
'07': '7', # Tirol
'08': '8', # Vorarlberg
'09': '9', # Wien
},
'BG': {
'42': '22', # Sofia City
'41': '23', # Sofia Province
'01': '01', # Blagoevgrad
'02': '02', # Burgas
'03': '03', # Varna
'04': '04', # Veliko Tarnovo
'05': '05', # Vidin
'06': '06', # Vratsa
'07': '07', # Gabrovo
'08': '08', # Dobrich
'09': '09', # Kardzhali
'10': '10', # Kyustendil
'11': '11', # Lovech
'12': '12', # Montana
'13': '13', # Pazardzhik
'14': '14', # Pernik
'15': '15', # Pleven
'16': '16', # Plovdiv
'17': '17', # Razgrad
'18': '18', # Ruse
'19': '19', # Silistra
'20': '20', # Sliven
'21': '21', # Smolyan
'24': '24', # Stara Zagora
'25': '25', # Targovishte
'26': '26', # Haskovo
'27': '27', # Shumen
'28': '28', # Yambol
},
'CH': {
'AG': 'AG', 'AI': 'AI', 'AR': 'AR', 'BE': 'BE', 'BL': 'BL',
'BS': 'BS', 'FR': 'FR', 'GE': 'GE', 'GL': 'GL', 'GR': 'GR',
'JU': 'JU', 'LU': 'LU', 'NE': 'NE', 'NW': 'NW', 'OW': 'OW',
'SG': 'SG', 'SH': 'SH', 'SO': 'SO', 'SZ': 'SZ', 'TG': 'TG',
'TI': 'TI', 'UR': 'UR', 'VD': 'VD', 'VS': 'VS', 'ZG': 'ZG',
'ZH': 'ZH',
},
'CZ': {
'52': '10', # Prague
'78': '20', # Central Bohemia
'79': '31', # South Bohemia
'80': '32', # Plzeň
'81': '41', # Karlovy Vary
'82': '42', # Ústí nad Labem
'83': '51', # Liberec
'84': '52', # Hradec Králové
'85': '53', # Pardubice
'86': '63', # Vysočina
'78': '64', # South Moravia
'87': '71', # Olomouc
'88': '72', # Zlín
'89': '80', # Moravia-Silesia
},
}
def connect_geonames() -> Optional[sqlite3.Connection]:
"""Connect to GeoNames database."""
if not GEONAMES_DB.exists():
print(f"Error: GeoNames database not found at {GEONAMES_DB}")
return None
return sqlite3.connect(str(GEONAMES_DB))
def extract_toponym_from_name(name: str, country: str) -> Optional[str]:
"""
Extract TOPONYM (TOP.SET) from institution name using CH-Annotator patterns.
CH-Annotator TOP.SET pattern:
- City/town names embedded in institution names
- Often after prepositions: "in", "van", "de", "of", etc.
- Or as suffix/prefix in compound names
Returns extracted city name or None.
"""
if not name:
return None
# Normalize
name_lower = name.lower()
# Pattern 1: Explicit city indicators
# "bibliotheek [CityName]", "museum [CityName]", etc.
city_patterns = [
r'bibliotheek\s+(\w+)',
r'bibliothek\s+(\w+)',
r'museum\s+(\w+)',
r'archief\s+(\w+)',
r'archiv\s+(\w+)',
r'archive\s+(\w+)',
r'openbare\s+bibliotheek\s+(\w+)',
r'gemeentelijke.*bibliotheek\s+(\w+)',
r'stedelijke.*bibliotheek\s+(\w+)',
r'stadsarchief\s+(\w+)',
]
for pattern in city_patterns:
match = re.search(pattern, name_lower)
if match:
city = match.group(1)
# Filter out generic words
if city not in ('van', 'de', 'het', 'der', 'voor', 'en', 'vzw', 'bv', 'nv'):
return city.title()
# Pattern 2: Parenthetical city names
# "Institution Name (City)" or "City Name (Alias)"
paren_match = re.search(r'\(([^)]+)\)', name)
if paren_match:
paren_content = paren_match.group(1).strip()
# Check for "(Bib CityName)" pattern - extract last word
bib_match = re.match(r'(?:Bib|OB|POB|Bibliotheek)\s+(\w+)', paren_content, re.IGNORECASE)
if bib_match:
return bib_match.group(1).title()
# Check if it looks like a city name (capitalized, not too long)
words = paren_content.split()
if len(words) <= 3 and words[0][0].isupper():
return paren_content
# Pattern 3: Hyphenated city names (Belgian pattern)
# "Brussel-Stad", "Sint-Niklaas"
hyphen_match = re.search(r'(\w+-\w+)', name)
if hyphen_match:
compound = hyphen_match.group(1)
# Check against known Belgian compound cities
known_compounds = ['sint-niklaas', 'sint-truiden', 'brussel-stad',
'la-louvière', 'molenbeek-saint-jean']
if compound.lower() in known_compounds:
return compound.title()
# Pattern 4: Last word as city (common pattern)
# "Historisch Museum [CityName]"
words = name.split()
if len(words) >= 2:
last_word = words[-1].strip('()')
# Check if last word is capitalized and not a common suffix
if (last_word[0].isupper() and
last_word.lower() not in ('vzw', 'bv', 'nv', 'asbl', 'bibliotheek',
'museum', 'archief', 'archiv')):
return last_word
return None
def lookup_city_in_geonames(city_name: str, country: str, conn: sqlite3.Connection) -> Optional[Dict]:
"""
Look up a city name in GeoNames database.
Returns dict with:
- geonames_id
- name (ascii_name)
- admin1_code
- region_code (ISO 3166-2)
- latitude, longitude
"""
cursor = conn.cursor()
# Try exact match first - include admin2_code for countries that use it (Belgium)
cursor.execute("""
SELECT geonames_id, name, ascii_name, admin1_code, admin2_code, latitude, longitude, feature_code, population
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) = LOWER(?) OR LOWER(ascii_name) = LOWER(?))
ORDER BY population DESC
LIMIT 1
""", (country, city_name, city_name))
row = cursor.fetchone()
if not row:
# Try partial match - but require minimum 4 chars to avoid false positives
if len(city_name) >= 4:
cursor.execute("""
SELECT geonames_id, name, ascii_name, admin1_code, admin2_code, latitude, longitude, feature_code, population
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
AND (LOWER(name) LIKE LOWER(?) OR LOWER(ascii_name) LIKE LOWER(?))
ORDER BY population DESC
LIMIT 1
""", (country, f"{city_name}%", f"{city_name}%"))
row = cursor.fetchone()
if not row:
return None
geonames_id, name, ascii_name, admin1_code, admin2_code, lat, lon, feature_code, population = row
# Convert to ISO region code
# Belgium uses admin2 for provinces, most countries use admin1
region_code = 'XX'
if country == 'BE':
# Belgium: use admin2 (province) instead of admin1 (region)
if admin2_code:
region_code = admin2_code
elif admin1_code:
region_code = admin1_code
elif country in ADMIN1_TO_ISO and admin1_code in ADMIN1_TO_ISO[country]:
region_code = ADMIN1_TO_ISO[country][admin1_code]
elif admin1_code:
region_code = admin1_code
return {
'geonames_id': geonames_id,
'geonames_name': ascii_name or name,
'admin1_code': admin1_code,
'region_code': region_code,
'latitude': lat,
'longitude': lon,
'feature_code': feature_code,
'population': population,
}
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from name."""
words = city_name.split()
if len(words) == 1:
return city_name[:3].upper()
else:
# Use initials for multi-word names
initials = ''.join(w[0] for w in words if w)[:3]
return initials.upper()
def update_file_with_location(filepath: Path, location_data: Dict, city_name: str,
dry_run: bool = True) -> Tuple[bool, Optional[Path]]:
"""Update custodian file with resolved location following CH-Annotator convention."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
print(f" Error reading {filepath}: {e}")
return False, None
if 'ghcid' not in data:
return False, None
ghcid = data['ghcid']
if 'location_resolution' not in ghcid:
ghcid['location_resolution'] = {}
loc_res = ghcid['location_resolution']
country_code = loc_res.get('country_code', '')
old_region = loc_res.get('region_code', 'XX')
old_city = loc_res.get('city_code', 'XXX')
if not country_code:
return False, None
# Only update if we have XX or XXX to resolve
if old_region != 'XX' and old_city != 'XXX':
return False, None
region_code = location_data['region_code']
city_code = generate_city_code(location_data['geonames_name'])
# Update location resolution with CH-Annotator provenance
if old_region == 'XX':
loc_res['region_code'] = region_code
if old_city == 'XXX':
loc_res['city_code'] = city_code
loc_res['city_name'] = location_data['geonames_name']
loc_res['geonames_id'] = location_data['geonames_id']
loc_res['feature_code'] = location_data['feature_code']
loc_res['method'] = 'CH_ANNOTATOR_TOP_SET'
loc_res['resolution_timestamp'] = datetime.now(timezone.utc).isoformat()
loc_res['extracted_toponym'] = city_name
if location_data.get('latitude'):
loc_res['latitude'] = location_data['latitude']
loc_res['longitude'] = location_data['longitude']
# Update GHCID string
old_ghcid = ghcid.get('ghcid_current', '')
new_ghcid = old_ghcid
if old_region == 'XX':
new_ghcid = new_ghcid.replace(f'{country_code}-XX-', f'{country_code}-{region_code}-')
if old_city == 'XXX':
new_ghcid = new_ghcid.replace(f'-XXX-', f'-{city_code}-')
if new_ghcid != old_ghcid:
ghcid['ghcid_current'] = new_ghcid
if 'ghcid_history' not in ghcid:
ghcid['ghcid_history'] = []
ghcid['ghcid_history'].append({
'ghcid': new_ghcid,
'valid_from': datetime.now(timezone.utc).isoformat(),
'reason': f"Location resolved via CH-Annotator TOP.SET extraction: {city_name} -> {location_data['geonames_name']} (GeoNames:{location_data['geonames_id']})"
})
# Add CH-Annotator entity claim for location
if 'ch_annotator' not in data:
data['ch_annotator'] = {}
if 'entity_claims' not in data['ch_annotator']:
data['ch_annotator']['entity_claims'] = []
# Add TOP.SET claim
data['ch_annotator']['entity_claims'].append({
'claim_type': 'location_settlement',
'claim_value': location_data['geonames_name'],
'property_uri': 'schema:location',
'hypernym_code': 'TOP.SET',
'hypernym_label': 'SETTLEMENT',
'provenance': {
'namespace': 'geonames',
'path': f"/geonames/{location_data['geonames_id']}",
'timestamp': datetime.now(timezone.utc).isoformat(),
'agent': 'extract_locations_ch_annotator.py',
'context_convention': 'ch_annotator-v1_7_0',
},
'confidence': 0.85,
'extraction_source': {
'field': 'institution_name',
'extracted_text': city_name,
'method': 'pattern_matching',
},
})
# Add provenance note
if 'provenance' not in data:
data['provenance'] = {}
if 'notes' not in data['provenance']:
data['provenance']['notes'] = []
elif isinstance(data['provenance']['notes'], str):
data['provenance']['notes'] = [data['provenance']['notes']]
data['provenance']['notes'].append(
f"Location resolved {datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')}: "
f"CH-Annotator TOP.SET extraction '{city_name}' -> {location_data['geonames_name']} "
f"(GeoNames:{location_data['geonames_id']}, Region:{region_code})"
)
# Determine new filename
new_filename = filepath.name
if old_region == 'XX':
new_filename = new_filename.replace(f'{country_code}-XX-', f'{country_code}-{region_code}-')
if old_city == 'XXX':
new_filename = new_filename.replace(f'-XXX-', f'-{city_code}-')
new_filepath = filepath.parent / new_filename
if not dry_run:
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
if new_filepath != filepath and not new_filepath.exists():
filepath.rename(new_filepath)
return True, new_filepath if new_filepath != filepath else None
def main():
"""Main entry point."""
import argparse
parser = argparse.ArgumentParser(
description='Extract locations using CH-Annotator TOPONYM convention'
)
parser.add_argument('--apply', action='store_true',
help='Actually apply the fixes (default: dry run)')
parser.add_argument('--path', type=str, default='data/custodian',
help='Path to custodian files directory')
parser.add_argument('--limit', type=int, default=100,
help='Limit number of files to process')
parser.add_argument('--country', type=str,
help='Only process files for a specific country')
args = parser.parse_args()
custodian_dir = Path(args.path)
if not custodian_dir.exists():
print(f"Error: Directory {custodian_dir} does not exist")
sys.exit(1)
# Connect to GeoNames
conn = connect_geonames()
if not conn:
sys.exit(1)
dry_run = not args.apply
print("=" * 70)
print("CH-ANNOTATOR TOPONYM (TOP.SET) LOCATION EXTRACTION")
print("=" * 70)
print(f"Mode: {'DRY RUN' if dry_run else 'APPLYING CHANGES'}")
print(f"Convention: ch_annotator-v1_7_0")
print()
# Find files with XX region codes or XXX city codes
files_to_process = []
for filepath in custodian_dir.glob('*-XX-*.yaml'):
files_to_process.append(filepath)
for filepath in custodian_dir.glob('*-XXX-*.yaml'):
if filepath not in files_to_process:
files_to_process.append(filepath)
print(f"Found {len(files_to_process)} files with XX/XXX codes")
# Process files
file_data = []
files_processed = 0
for filepath in files_to_process:
# Apply limit AFTER country filtering
if len(file_data) >= args.limit:
break
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
# Get country code
country = None
if 'ghcid' in data and 'location_resolution' in data['ghcid']:
country = data['ghcid']['location_resolution'].get('country_code')
if not country:
continue
if args.country and country != args.country:
continue
# Get institution name
name = None
if 'custodian_name' in data:
name = data['custodian_name'].get('claim_value')
if not name and 'original_entry' in data:
name = data['original_entry'].get('name')
if not name:
continue
file_data.append({
'filepath': filepath,
'data': data,
'country': country,
'name': name,
})
except Exception as e:
print(f"Error loading {filepath}: {e}")
print(f"Processing {len(file_data)} files")
print()
# Process each file
resolved = 0
renamed = 0
no_toponym = 0
no_geonames = 0
for f in file_data:
filepath = f['filepath']
name = f['name']
country = f['country']
# Extract toponym using CH-Annotator patterns
toponym = extract_toponym_from_name(name, country)
if not toponym:
no_toponym += 1
continue
# Look up in GeoNames
location = lookup_city_in_geonames(toponym, country, conn)
if not location:
no_geonames += 1
print(f" No GeoNames match for '{toponym}' in {country}")
continue
print(f"Processing {filepath.name}...")
print(f" Name: {name}")
print(f" TOP.SET: {toponym} -> {location['geonames_name']} (Region: {location['region_code']})")
# Update file
success, new_path = update_file_with_location(filepath, location, toponym, dry_run=dry_run)
if success:
resolved += 1
if new_path:
renamed += 1
print(f" Renamed: {filepath.name} -> {new_path.name}")
conn.close()
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {len(file_data)}")
print(f"Resolved: {resolved}")
print(f"Renamed: {renamed}")
print(f"No toponym extracted: {no_toponym}")
print(f"No GeoNames match: {no_geonames}")
if dry_run:
print()
print("This was a DRY RUN. Use --apply to make changes.")
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Fix remaining Belgian XXX files by re-scraping ISIL website with correct city extraction.
"""
import re
import sqlite3
import time
import unicodedata
from datetime import datetime, timezone
from pathlib import Path
from urllib.request import urlopen, Request
# Belgian admin1 mapping
BELGIAN_ADMIN1_MAP = {
'Brussels Capital': 'BRU',
'Brussels': 'BRU',
'Flanders': 'VLG',
'Wallonia': 'WAL',
}
# City name aliases (Dutch → GeoNames)
CITY_ALIASES = {
'sint-lambrechts-woluwe': 'Woluwe-Saint-Lambert',
'sint-pieters-woluwe': 'Woluwe-Saint-Pierre',
'oostende': 'Ostend',
'brussel': 'Brussels',
'bruxelles': 'Brussels',
}
def scrape_isil_city(isil_code):
"""Scrape city from Belgian ISIL website."""
url = f"https://isil.kbr.be/{isil_code}"
try:
req = Request(url, headers={'User-Agent': 'Mozilla/5.0 GLAM-Scraper/1.0'})
with urlopen(req, timeout=10) as response:
html = response.read().decode('utf-8')
# Look for address pattern: "Street 123, POSTCODE City"
match = re.search(r',\s*(\d{4})\s+([A-Za-zÀ-ÿ\s\-\']+)</td>', html)
if match:
postal_code = match.group(1)
city = match.group(2).strip()
return city, postal_code
# Alternative pattern
match = re.search(r'(\d{4})\s+([A-Za-zÀ-ÿ\s\-\']+)', html)
if match:
return match.group(2).strip(), match.group(1)
except Exception as e:
print(f" Error scraping {isil_code}: {e}")
return None, None
def lookup_city(city_name, conn):
"""Look up city in GeoNames."""
if not city_name:
return None
# Check alias
normalized = city_name.lower().strip()
lookup_name = CITY_ALIASES.get(normalized, city_name)
cursor = conn.cursor()
cursor.execute("""
SELECT name, ascii_name, admin1_name, latitude, longitude, geonames_id, population, feature_code
FROM cities
WHERE country_code='BE'
AND (LOWER(name)=LOWER(?) OR LOWER(ascii_name)=LOWER(?))
AND feature_code NOT IN ('PPLX')
ORDER BY population DESC LIMIT 1
""", (lookup_name, lookup_name))
result = cursor.fetchone()
if result:
return {
'name': result[0],
'ascii_name': result[1],
'admin1_name': result[2],
'latitude': result[3],
'longitude': result[4],
'geonames_id': result[5],
'population': result[6],
}
return None
def generate_city_code(city_name):
"""Generate 3-letter city code."""
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
clean = re.sub(r'[^a-zA-Z\s-]', '', ascii_name)
words = clean.split()
articles = {'de', 'het', 'le', 'la', 'les', 'den', 'der', 'des'}
if len(words) == 1:
return clean[:3].upper()
elif words[0].lower() in articles:
return (words[0][0] + words[1][:2]).upper()
else:
return ''.join(w[0] for w in words[:3]).upper()
def update_file(file_path, geo_data, method='ISIL_SCRAPE'):
"""Update custodian file with city data."""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
city_code = generate_city_code(geo_data['name'])
region_code = BELGIAN_ADMIN1_MAP.get(geo_data['admin1_name'], 'XX')
# Update GHCID
old_ghcid_match = re.search(r'ghcid_current:\s*([^\n]+)', content)
if not old_ghcid_match:
return False
old_ghcid = old_ghcid_match.group(1).strip()
new_ghcid = re.sub(r'^BE-XX-XXX-', f'BE-{region_code}-{city_code}-', old_ghcid)
if new_ghcid == old_ghcid:
return False
# Update content
content = content.replace(f'ghcid_current: {old_ghcid}', f'ghcid_current: {new_ghcid}')
content = content.replace(f'ghcid_original: {old_ghcid}', f'ghcid_original: {new_ghcid}')
content = content.replace(f'identifier_value: {old_ghcid}', f'identifier_value: {new_ghcid}')
content = content.replace(f"ghcid: {old_ghcid}", f"ghcid: {new_ghcid}")
# Update location_resolution
content = re.sub(r'region_code:\s*XX', f'region_code: {region_code}', content)
content = re.sub(r'city_code:\s*XXX', f'city_code: {city_code}', content)
# Add resolution details
timestamp = datetime.now(timezone.utc).isoformat()
history_entry = f"""
- ghcid: {new_ghcid}
valid_from: '{timestamp}'
reason: City resolved via {method} - {geo_data['name']} (GeoNames ID {geo_data['geonames_id']})"""
history_match = re.search(r'(ghcid_history:\s*\n)', content)
if history_match:
insert_pos = history_match.end()
content = content[:insert_pos] + history_entry + content[insert_pos:]
with open(file_path, 'w', encoding='utf-8') as f:
f.write(content)
# Rename file
old_filename = file_path.name
new_filename = old_filename.replace('BE-XX-XXX-', f'BE-{region_code}-{city_code}-')
if new_filename != old_filename:
new_path = file_path.parent / new_filename
file_path.rename(new_path)
return True
def main():
import sys
dry_run = '--dry-run' in sys.argv
base_dir = Path(__file__).parent.parent
custodian_dir = base_dir / 'data' / 'custodian'
geonames_db = base_dir / 'data' / 'reference' / 'geonames.db'
print("Belgian City Fix Script")
print("=" * 50)
if dry_run:
print("DRY RUN MODE\n")
conn = sqlite3.connect(str(geonames_db))
xxx_files = list(custodian_dir.glob('BE-*-XXX-*.yaml'))
print(f"Found {len(xxx_files)} Belgian XXX files\n")
updated = 0
not_found = []
for file_path in xxx_files:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Get ISIL code
isil_match = re.search(r'identifier_value:\s*(BE-\w+)', content)
if not isil_match:
continue
isil_code = isil_match.group(1)
# Scrape city from website
city, postal = scrape_isil_city(isil_code)
if not city:
print(f"✗ {file_path.name}: No city found for {isil_code}")
not_found.append((file_path.name, isil_code, 'scrape failed'))
time.sleep(1)
continue
# Lookup in GeoNames
geo_data = lookup_city(city, conn)
if not geo_data:
print(f"? {file_path.name}: {city} not in GeoNames")
not_found.append((file_path.name, isil_code, city))
time.sleep(1)
continue
if dry_run:
print(f"✓ {file_path.name}: {isil_code} → {city} ({geo_data['name']})")
else:
if update_file(file_path, geo_data):
print(f"✓ Updated: {file_path.name} → {geo_data['name']}")
updated += 1
time.sleep(1) # Rate limit
print(f"\n{'=' * 50}")
print(f"Updated: {updated}")
print(f"Not found: {len(not_found)}")
if not_found:
print("\nNot resolved:")
for fname, isil, city in not_found:
print(f" {fname}: {isil} → {city}")
conn.close()
if __name__ == '__main__':
main()

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scripts/migrate_egyptian_from_ch.py Normal file
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#!/usr/bin/env python3
"""
Migrate Egyptian institutions incorrectly placed under CH (Switzerland) to EG (Egypt).
"""
import re
import sqlite3
import unicodedata
from datetime import datetime, timezone
from pathlib import Path
# Egyptian city mapping
EGYPTIAN_CITIES = {
'Cairo': {'region': 'C', 'city_code': 'CAI'},
'Alexandria': {'region': 'ALX', 'city_code': 'ALX'},
'Giza': {'region': 'GZ', 'city_code': 'GIZ'},
'Assiut': {'region': 'AST', 'city_code': 'ASS'},
'Helwan': {'region': 'C', 'city_code': 'HEL'},
'6th of October City': {'region': 'GZ', 'city_code': 'OCT'},
'Ain Shams': {'region': 'C', 'city_code': 'ASH'},
'Maadi': {'region': 'C', 'city_code': 'MAA'},
'New Cairo': {'region': 'C', 'city_code': 'NCA'},
}
def extract_city_from_name(name):
"""Extract Egyptian city from institution name."""
name_lower = name.lower()
if 'cairo' in name_lower or 'ain shams' in name_lower or 'helwan' in name_lower:
return 'Cairo'
if 'alexandria' in name_lower:
return 'Alexandria'
if 'assiut' in name_lower or 'asyut' in name_lower:
return 'Assiut'
if 'giza' in name_lower or 'october' in name_lower:
return 'Giza'
if 'nile' in name_lower or 'maadi' in name_lower:
return 'Cairo' # Most Egyptian institutions without city are in Cairo
if 'egypt' in name_lower or 'egyptian' in name_lower:
return 'Cairo' # Default for national institutions
return 'Cairo' # Default
def update_file(file_path, city_name, dry_run=False):
"""Update file from CH to EG namespace."""
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
city_info = EGYPTIAN_CITIES.get(city_name, {'region': 'C', 'city_code': 'CAI'})
region_code = city_info['region']
city_code = city_info['city_code']
# Get current GHCID
old_ghcid_match = re.search(r'ghcid_current:\s*([^\n]+)', content)
if not old_ghcid_match:
return False, None
old_ghcid = old_ghcid_match.group(1).strip()
# Create new GHCID with EG namespace
new_ghcid = re.sub(r'^CH-XX-XXX-', f'EG-{region_code}-{city_code}-', old_ghcid)
if dry_run:
return True, (old_ghcid, new_ghcid)
# Update all GHCID references
content = content.replace(f'ghcid_current: {old_ghcid}', f'ghcid_current: {new_ghcid}')
content = content.replace(f'ghcid_original: {old_ghcid}', f'ghcid_original: {new_ghcid}')
content = content.replace(f'identifier_value: {old_ghcid}', f'identifier_value: {new_ghcid}')
content = content.replace(f"ghcid: {old_ghcid}", f"ghcid: {new_ghcid}")
# Update country code
content = re.sub(r'country:\s*CH', 'country: EG', content)
content = re.sub(r'country_code:\s*CH', 'country_code: EG', content)
# Update location_resolution
content = re.sub(r'region_code:\s*XX', f'region_code: {region_code}', content)
content = re.sub(r'city_code:\s*XXX', f'city_code: {city_code}', content)
# Add history entry
timestamp = datetime.now(timezone.utc).isoformat()
history_entry = f"""
- ghcid: {new_ghcid}
valid_from: '{timestamp}'
reason: Migrated from CH to EG namespace - {city_name}"""
history_match = re.search(r'(ghcid_history:\s*\n)', content)
if history_match:
insert_pos = history_match.end()
content = content[:insert_pos] + history_entry + content[insert_pos:]
with open(file_path, 'w', encoding='utf-8') as f:
f.write(content)
# Rename file
old_filename = file_path.name
new_filename = old_filename.replace('CH-XX-XXX-', f'EG-{region_code}-{city_code}-')
if new_filename != old_filename:
new_path = file_path.parent / new_filename
file_path.rename(new_path)
return True, (old_ghcid, new_ghcid)
def main():
import sys
dry_run = '--dry-run' in sys.argv
base_dir = Path(__file__).parent.parent
custodian_dir = base_dir / 'data' / 'custodian'
print("Egyptian Institution Migration (CH → EG)")
print("=" * 50)
if dry_run:
print("DRY RUN MODE\n")
# Find CH-XX-XXX files that are actually Egyptian
xxx_files = list(custodian_dir.glob('CH-XX-XXX-*.yaml'))
print(f"Found {len(xxx_files)} CH-XX-XXX files\n")
migrated = 0
egyptian_keywords = ['egypt', 'cairo', 'alexandria', 'ain shams', 'helwan', 'assiut',
'giza', 'nile', 'al-azhar', 'dar al-kutub', 'guc', 'auc', 'bue']
for file_path in xxx_files:
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
# Check if this is an Egyptian institution
name_match = re.search(r'claim_value:\s*(.+)', content)
if not name_match:
continue
inst_name = name_match.group(1).strip().lower()
is_egyptian = any(keyword in inst_name for keyword in egyptian_keywords)
if not is_egyptian:
continue
city = extract_city_from_name(inst_name)
success, ghcid_change = update_file(file_path, city, dry_run)
if success:
if dry_run:
print(f" {file_path.name}")
print(f" → {ghcid_change[0]} → {ghcid_change[1]}")
else:
print(f"✓ Migrated: {file_path.name} → {city}")
migrated += 1
print(f"\n{'=' * 50}")
print(f"Migrated: {migrated}")
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Migrate web archives from /data/nde/enriched/entries/web/ to /data/custodian/{GHCID}/web/
This script:
1. Builds a mapping from entry_index -> GHCID by scanning custodian files
2. Moves (or symlinks) web archive folders to the appropriate custodian folder
3. Creates a DuckDB database with web archive metadata for DuckLake ingestion
Usage:
python scripts/migrate_web_archives.py --dry-run # Preview changes
python scripts/migrate_web_archives.py --execute # Actually migrate
python scripts/migrate_web_archives.py --build-ducklake # Create DuckDB tables
"""
import os
import sys
import re
import yaml
import shutil
import argparse
import logging
from pathlib import Path
from datetime import datetime
from typing import Dict, Optional, List, Any
import json
# Try to import duckdb for DuckLake ingestion
try:
import duckdb
HAS_DUCKDB = True
except ImportError:
HAS_DUCKDB = False
print("Warning: duckdb not installed. DuckLake ingestion disabled.")
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
# Paths
BASE_DIR = Path("/Users/kempersc/apps/glam")
CUSTODIAN_DIR = BASE_DIR / "data" / "custodian"
WEB_ARCHIVE_SOURCE = BASE_DIR / "data" / "nde" / "enriched" / "entries" / "web"
DUCKLAKE_DB = BASE_DIR / "data" / "ducklake" / "web_archives.duckdb"
MAPPING_FILE = WEB_ARCHIVE_SOURCE / "_entry_to_ghcid.txt"
def build_entry_index_to_ghcid_mapping() -> Dict[int, str]:
"""
Load mapping from pre-built file (created via ripgrep for speed).
Falls back to scanning YAML files if file doesn't exist.
Returns:
Dict mapping entry_index (int) to GHCID (str, e.g., "NL-GE-GEN-S-HKG")
"""
mapping = {}
# Try to load from pre-built mapping file
if MAPPING_FILE.exists():
logger.info(f"Loading mapping from {MAPPING_FILE}")
with open(MAPPING_FILE, 'r') as f:
for line in f:
parts = line.strip().split(' ', 1)
if len(parts) == 2 and parts[0].isdigit():
entry_index = int(parts[0])
ghcid = parts[1]
mapping[entry_index] = ghcid
logger.info(f"Loaded {len(mapping)} entries from mapping file")
return mapping
# Fallback: scan YAML files (slow)
logger.info("Mapping file not found, scanning custodian files...")
custodian_files = list(CUSTODIAN_DIR.glob("*.yaml"))
logger.info(f"Scanning {len(custodian_files)} custodian files...")
for filepath in custodian_files:
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
if data and 'entry_index' in data:
entry_index = data['entry_index']
if isinstance(entry_index, int):
ghcid = filepath.stem # e.g., "NL-GE-GEN-S-HKG"
mapping[entry_index] = ghcid
except Exception as e:
logger.debug(f"Error reading {filepath}: {e}")
continue
logger.info(f"Built mapping for {len(mapping)} entries with entry_index")
return mapping
def get_web_archive_folders() -> List[Path]:
"""Get list of web archive folders (entry numbers)."""
folders = []
for item in WEB_ARCHIVE_SOURCE.iterdir():
if item.is_dir() and item.name.isdigit():
folders.append(item)
return sorted(folders, key=lambda p: int(p.name))
def parse_metadata(metadata_path: Path) -> Optional[Dict[str, Any]]:
"""Parse web archive metadata.yaml file."""
try:
with open(metadata_path, 'r', encoding='utf-8') as f:
return yaml.safe_load(f)
except Exception as e:
logger.error(f"Failed to parse {metadata_path}: {e}")
return None
def migrate_web_archive(source_folder: Path, ghcid: str, dry_run: bool = True) -> bool:
"""
Migrate a web archive folder to the custodian's web/ folder.
Args:
source_folder: Path to source web archive (e.g., .../web/0183/historischekringgente.nl/)
ghcid: Target GHCID (e.g., "NL-GE-GEN-S-HKG")
dry_run: If True, only preview changes
Returns:
True if successful
"""
target_dir = CUSTODIAN_DIR / ghcid / "web"
# Find domain subfolder
domain_folders = [d for d in source_folder.iterdir() if d.is_dir()]
if not domain_folders:
logger.warning(f"No domain folders in {source_folder}")
return False
for domain_folder in domain_folders:
domain_name = domain_folder.name
target_path = target_dir / domain_name
if dry_run:
logger.info(f"[DRY-RUN] Would migrate: {domain_folder} -> {target_path}")
else:
try:
target_dir.mkdir(parents=True, exist_ok=True)
if target_path.exists():
logger.warning(f"Target already exists: {target_path}")
continue
shutil.copytree(domain_folder, target_path)
logger.info(f"Migrated: {domain_folder} -> {target_path}")
except Exception as e:
logger.error(f"Failed to migrate {domain_folder}: {e}")
return False
return True
def build_ducklake_database(mapping: Dict[int, str]):
"""
Create DuckDB database with web archive metadata for DuckLake.
Tables:
- web_archives: Archive metadata (ghcid, url, timestamp, stats)
- web_pages: Individual pages with extraction counts
- web_claims: Extracted claims/entities from annotations
"""
if not HAS_DUCKDB:
logger.error("DuckDB not installed. Cannot build DuckLake database.")
return
DUCKLAKE_DB.parent.mkdir(parents=True, exist_ok=True)
con = duckdb.connect(str(DUCKLAKE_DB))
# Create tables
con.execute("""
CREATE TABLE IF NOT EXISTS web_archives (
ghcid VARCHAR PRIMARY KEY,
entry_index INTEGER,
domain VARCHAR,
url VARCHAR,
archive_timestamp TIMESTAMP,
archive_method VARCHAR,
total_pages INTEGER,
processed_pages INTEGER,
warc_file VARCHAR,
warc_size_bytes BIGINT,
has_annotations BOOLEAN DEFAULT FALSE
)
""")
con.execute("""
CREATE TABLE IF NOT EXISTS web_pages (
id INTEGER PRIMARY KEY,
ghcid VARCHAR,
page_title VARCHAR,
source_path VARCHAR,
archived_file VARCHAR,
extractions_count INTEGER,
FOREIGN KEY (ghcid) REFERENCES web_archives(ghcid)
)
""")
con.execute("""
CREATE TABLE IF NOT EXISTS web_claims (
id INTEGER PRIMARY KEY,
ghcid VARCHAR,
claim_id VARCHAR,
claim_type VARCHAR,
text_content VARCHAR,
hypernym VARCHAR,
hyponym VARCHAR,
class_uri VARCHAR,
xpath VARCHAR,
recognition_confidence FLOAT,
linking_confidence FLOAT,
wikidata_id VARCHAR,
FOREIGN KEY (ghcid) REFERENCES web_archives(ghcid)
)
""")
# Clear existing data
con.execute("DELETE FROM web_claims")
con.execute("DELETE FROM web_pages")
con.execute("DELETE FROM web_archives")
page_id = 0
claim_id_counter = 0
web_folders = get_web_archive_folders()
logger.info(f"Processing {len(web_folders)} web archive folders for DuckLake...")
for folder in web_folders:
entry_index = int(folder.name)
ghcid = mapping.get(entry_index)
if not ghcid:
logger.debug(f"No GHCID mapping for entry {entry_index}")
continue
# Find domain folder
domain_folders = [d for d in folder.iterdir() if d.is_dir()]
for domain_folder in domain_folders:
metadata_path = domain_folder / "metadata.yaml"
if not metadata_path.exists():
continue
metadata = parse_metadata(metadata_path)
if not metadata:
continue
# Check for annotations
annotations_path = domain_folder / "annotations_v1.7.0.yaml"
has_annotations = annotations_path.exists()
# Parse warc info
warc_info = metadata.get('warc', {})
# Insert archive record
try:
archive_ts = metadata.get('archive_timestamp')
if archive_ts:
archive_ts = datetime.fromisoformat(archive_ts.replace('Z', '+00:00'))
con.execute("""
INSERT INTO web_archives VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""", [
ghcid,
entry_index,
domain_folder.name,
metadata.get('url'),
archive_ts,
metadata.get('archive_method'),
metadata.get('total_pages', 0),
metadata.get('processed_pages', 0),
warc_info.get('warc_file'),
warc_info.get('warc_size_bytes', 0),
has_annotations
])
except Exception as e:
logger.debug(f"Error inserting archive {ghcid}: {e}")
continue
# Insert pages
for page in metadata.get('pages', []):
page_id += 1
try:
con.execute("""
INSERT INTO web_pages VALUES (?, ?, ?, ?, ?, ?)
""", [
page_id,
ghcid,
page.get('title'),
page.get('source_path'),
page.get('archived_file'),
page.get('extractions_count', 0)
])
except Exception as e:
logger.debug(f"Error inserting page: {e}")
# Insert claims from annotations
if has_annotations:
try:
with open(annotations_path, 'r', encoding='utf-8') as f:
annotations = yaml.safe_load(f)
session = annotations.get('session', {})
claims = session.get('claims', {})
# Process entity claims
for claim in claims.get('entity', []):
claim_id_counter += 1
provenance = claim.get('provenance', {})
con.execute("""
INSERT INTO web_claims VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""", [
claim_id_counter,
ghcid,
claim.get('claim_id'),
claim.get('claim_type'),
claim.get('text_content'),
claim.get('hypernym'),
claim.get('hyponym'),
claim.get('class_uri'),
provenance.get('path'),
claim.get('recognition_confidence', 0),
claim.get('linking_confidence', 0),
claim.get('wikidata_id')
])
# Process aggregate claims
for claim in claims.get('aggregate', []):
claim_id_counter += 1
provenance = claim.get('provenance', {})
con.execute("""
INSERT INTO web_claims VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
""", [
claim_id_counter,
ghcid,
claim.get('claim_id'),
claim.get('claim_type'),
claim.get('text_content'),
None,
None,
None,
provenance.get('path'),
provenance.get('confidence', 0),
0,
None
])
except Exception as e:
logger.debug(f"Error processing annotations for {ghcid}: {e}")
# Create indices
con.execute("CREATE INDEX IF NOT EXISTS idx_pages_ghcid ON web_pages(ghcid)")
con.execute("CREATE INDEX IF NOT EXISTS idx_claims_ghcid ON web_claims(ghcid)")
con.execute("CREATE INDEX IF NOT EXISTS idx_claims_type ON web_claims(claim_type)")
con.execute("CREATE INDEX IF NOT EXISTS idx_claims_hypernym ON web_claims(hypernym)")
# Get stats
archive_count = con.execute("SELECT COUNT(*) FROM web_archives").fetchone()[0]
page_count = con.execute("SELECT COUNT(*) FROM web_pages").fetchone()[0]
claim_count = con.execute("SELECT COUNT(*) FROM web_claims").fetchone()[0]
con.close()
logger.info(f"DuckLake database created at: {DUCKLAKE_DB}")
logger.info(f" - Archives: {archive_count}")
logger.info(f" - Pages: {page_count}")
logger.info(f" - Claims: {claim_count}")
def main():
parser = argparse.ArgumentParser(description="Migrate web archives to custodian folders")
parser.add_argument('--dry-run', action='store_true', help='Preview changes without executing')
parser.add_argument('--execute', action='store_true', help='Actually migrate files')
parser.add_argument('--build-ducklake', action='store_true', help='Build DuckDB database only')
parser.add_argument('--build-mapping', action='store_true', help='Just build and show mapping')
args = parser.parse_args()
if not any([args.dry_run, args.execute, args.build_ducklake, args.build_mapping]):
parser.print_help()
sys.exit(1)
# Build the mapping
mapping = build_entry_index_to_ghcid_mapping()
if args.build_mapping:
print(f"\nMapping has {len(mapping)} entries")
print("\nSample entries:")
for idx, (entry_idx, ghcid) in enumerate(sorted(mapping.items())[:20]):
print(f" {entry_idx:04d} -> {ghcid}")
return
if args.build_ducklake:
build_ducklake_database(mapping)
return
# Migration mode
web_folders = get_web_archive_folders()
logger.info(f"Found {len(web_folders)} web archive folders")
migrated = 0
skipped = 0
no_mapping = 0
for folder in web_folders:
entry_index = int(folder.name)
ghcid = mapping.get(entry_index)
if not ghcid:
logger.debug(f"No GHCID for entry {entry_index}")
no_mapping += 1
continue
success = migrate_web_archive(folder, ghcid, dry_run=not args.execute)
if success:
migrated += 1
else:
skipped += 1
print(f"\n{'[DRY-RUN] ' if args.dry_run else ''}Migration summary:")
print(f" - Migrated: {migrated}")
print(f" - Skipped: {skipped}")
print(f" - No mapping: {no_mapping}")
if __name__ == '__main__':
main()

301
scripts/resolve_cities_from_file_coords.py Executable file
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#!/usr/bin/env python3
"""
Resolve XXX city codes using coordinates already in the file (locations[].latitude/longitude).
This script handles files that already have coordinates but haven't been geocoded yet.
Following AGENTS.md Rules:
- Rule 5: Additive only - never delete existing data
- GHCID settlement standardization: GeoNames is authoritative
"""
import os
import sys
import yaml
import sqlite3
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Dict, Any, List
# GeoNames database
GEONAMES_DB = Path(__file__).parent.parent / "data/reference/geonames.db"
CUSTODIAN_DIR = Path(__file__).parent.parent / "data/custodian"
# Feature codes for proper settlements (EXCLUDE PPLX neighborhoods)
SETTLEMENT_FEATURE_CODES = ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
# Netherlands admin1 code mapping
NL_ADMIN1_MAP = {
'01': 'DR', '02': 'FR', '03': 'GE', '04': 'GR', '05': 'LI',
'06': 'NB', '07': 'NH', '09': 'UT', '10': 'ZE', '11': 'ZH',
'15': 'OV', '16': 'FL'
}
# Belgian admin2 to ISO mapping
BE_ADMIN2_MAP = {
'VAN': 'VAN', 'VBR': 'VBR', 'VLI': 'VLI', 'VOV': 'VOV', 'VWV': 'VWV',
'WBR': 'WBR', 'WHT': 'WHT', 'WLG': 'WLG', 'WLX': 'WLX', 'WNA': 'WNA', 'BRU': 'BRU'
}
def generate_city_code(name: str) -> str:
"""Generate 2-4 letter city code from name."""
import re
import unicodedata
# Normalize unicode
normalized = unicodedata.normalize('NFD', name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Remove special characters
clean = re.sub(r'[^a-zA-Z\s-]', '', ascii_name)
words = clean.split()
if not words:
return 'XXX'
# Dutch articles
dutch_articles = {'de', 'het', 'den', "'s", 's'}
if len(words) == 1:
# Single word: take first 3 letters
return words[0][:3].upper()
elif words[0].lower() in dutch_articles:
# Article + word: D + first 2 letters of main word
return (words[0][0] + words[1][:2]).upper()
else:
# Multi-word: initials
initials = ''.join(w[0] for w in words[:3])
return initials.upper()
def reverse_geocode(lat: float, lon: float, country: str, conn: sqlite3.Connection) -> Optional[Dict]:
"""Reverse geocode coordinates to nearest city in GeoNames."""
cursor = conn.cursor()
cursor.execute(f'''
SELECT geonames_id, name, ascii_name, admin1_code, admin2_code,
latitude, longitude, feature_code, population
FROM cities
WHERE country_code = ?
AND feature_code IN {SETTLEMENT_FEATURE_CODES}
ORDER BY ((latitude - ?) * (latitude - ?) + (longitude - ?) * (longitude - ?))
LIMIT 1
''', (country, lat, lat, lon, lon))
row = cursor.fetchone()
if not row:
return None
return {
'geonames_id': row[0],
'name': row[1],
'ascii_name': row[2],
'admin1_code': row[3],
'admin2_code': row[4],
'latitude': row[5],
'longitude': row[6],
'feature_code': row[7],
'population': row[8],
}
def get_region_code(country: str, admin1_code: str, admin2_code: str) -> str:
"""Get ISO 3166-2 region code from admin codes."""
if country == 'NL':
return NL_ADMIN1_MAP.get(admin1_code, 'XX')
elif country == 'BE':
return BE_ADMIN2_MAP.get(admin2_code, admin1_code if admin1_code else 'XX')
else:
return admin1_code if admin1_code else 'XX'
def find_coords_in_file(data: Dict) -> Optional[tuple]:
"""Find latitude/longitude in file data."""
# Check original_entry.locations
if 'original_entry' in data:
locations = data['original_entry'].get('locations', [])
for loc in locations:
if 'latitude' in loc and 'longitude' in loc:
country = loc.get('country', data.get('ghcid', {}).get('location_resolution', {}).get('country_code', 'XX'))
return (loc['latitude'], loc['longitude'], country)
# Check top-level locations
locations = data.get('locations', [])
for loc in locations:
if 'latitude' in loc and 'longitude' in loc:
country = loc.get('country', 'XX')
return (loc['latitude'], loc['longitude'], country)
return None
def process_file(filepath: Path, conn: sqlite3.Connection, apply: bool) -> bool:
"""Process a single file with XXX city code and coordinates."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
print(f" Error reading {filepath}: {e}")
return False
if not data:
return False
# Get coordinates from file
coords = find_coords_in_file(data)
if not coords:
return False
lat, lon, country = coords
print(f" Coords: {lat:.4f}, {lon:.4f} ({country})")
# Reverse geocode
city_data = reverse_geocode(lat, lon, country, conn)
if not city_data:
print(f" No GeoNames match for {country}")
return False
city_code = generate_city_code(city_data['ascii_name'])
region_code = get_region_code(country, city_data['admin1_code'], city_data.get('admin2_code', ''))
print(f" City: {city_data['name']} ({city_code}), Region: {region_code}")
if not apply:
return True
# Update GHCID
ghcid = data.get('ghcid', {})
current = ghcid.get('ghcid_current', '')
# Parse current GHCID
parts = current.split('-')
if len(parts) < 5:
print(f" Invalid GHCID format: {current}")
return False
# Update city code (and region if still XX)
old_region = parts[1]
old_city = parts[2]
if old_city != 'XXX':
print(f" City already resolved: {old_city}")
return False
# Update parts
if old_region == 'XX' and region_code != 'XX':
parts[1] = region_code
parts[2] = city_code
new_ghcid = '-'.join(parts)
# Update data
ghcid['ghcid_current'] = new_ghcid
loc_res = ghcid.get('location_resolution', {})
loc_res['city_code'] = city_code
loc_res['city_name'] = city_data['name']
loc_res['geonames_id'] = city_data['geonames_id']
loc_res['feature_code'] = city_data['feature_code']
if old_region == 'XX' and region_code != 'XX':
loc_res['region_code'] = region_code
loc_res['method'] = 'REVERSE_GEOCODE_FROM_FILE_COORDS'
loc_res['resolution_timestamp'] = datetime.now(timezone.utc).isoformat()
ghcid['location_resolution'] = loc_res
# Add to history
history = ghcid.get('ghcid_history', [])
history.append({
'ghcid': new_ghcid,
'valid_from': datetime.now(timezone.utc).isoformat(),
'reason': f'City resolved via reverse geocoding: XXX->{city_code} ({city_data["name"]})'
})
ghcid['ghcid_history'] = history
data['ghcid'] = ghcid
# Calculate new filename
old_name = filepath.name
new_name = old_name.replace(f'{old_region}-XXX', f'{parts[1]}-{city_code}')
if old_region != 'XX' or region_code == 'XX':
new_name = old_name.replace('-XXX-', f'-{city_code}-')
new_path = filepath.parent / new_name
# Write and rename
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
if new_path != filepath:
filepath.rename(new_path)
print(f" Renamed: {old_name} -> {new_name}")
return True
def main():
import argparse
parser = argparse.ArgumentParser(description='Resolve XXX city codes using coordinates in files')
parser.add_argument('--limit', type=int, default=100, help='Max files to process')
parser.add_argument('--apply', action='store_true', help='Apply changes (default: dry run)')
parser.add_argument('--country', help='Filter by country code')
args = parser.parse_args()
print("=" * 70)
print("CITY RESOLUTION FROM FILE COORDINATES")
print("=" * 70)
print(f"Mode: {'APPLYING CHANGES' if args.apply else 'DRY RUN'}")
print()
# Connect to GeoNames
if not GEONAMES_DB.exists():
print(f"ERROR: GeoNames database not found: {GEONAMES_DB}")
sys.exit(1)
conn = sqlite3.connect(str(GEONAMES_DB))
# Find XXX files with coordinates
xxx_files = []
for f in CUSTODIAN_DIR.glob('*.yaml'):
if '-XXX-' in f.name:
if args.country and not f.name.startswith(f'{args.country}-'):
continue
xxx_files.append(f)
print(f"Found {len(xxx_files)} files with XXX codes")
# Filter to files with coordinates
files_with_coords = []
for f in xxx_files:
try:
with open(f, 'r', encoding='utf-8') as fp:
content = fp.read()
if 'latitude:' in content and 'longitude:' in content:
files_with_coords.append(f)
except:
pass
print(f"Processing {min(len(files_with_coords), args.limit)} files with coordinates")
print()
resolved = 0
renamed = 0
for f in files_with_coords[:args.limit]:
print(f"Processing {f.name}...")
if process_file(f, conn, args.apply):
resolved += 1
if args.apply:
renamed += 1
conn.close()
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {min(len(files_with_coords), args.limit)}")
print(f"Resolved: {resolved}")
print(f"Renamed: {renamed}")
if __name__ == '__main__':
main()

317
scripts/resolve_cities_wikidata.py Executable file
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#!/usr/bin/env python3
"""
Resolve XXX city codes using Wikidata P159 (headquarters) or P625 (coordinates).
This script handles files with XXX city codes by:
1. Getting Wikidata ID from the file
2. Querying P625 (coordinates) or P159 (headquarters location)
3. Reverse geocoding to GeoNames to find the nearest city
Following AGENTS.md Rules:
- Rule 5: Additive only - never delete existing data
- GHCID settlement standardization: GeoNames is authoritative
"""
import os
import sys
import yaml
import json
import time
import sqlite3
import urllib.request
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Dict, Any, Tuple
# GeoNames database
GEONAMES_DB = Path(__file__).parent.parent / "data/reference/geonames.db"
# Feature codes for proper settlements (EXCLUDE PPLX neighborhoods)
SETTLEMENT_FEATURE_CODES = ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
def get_wikidata_location(wikidata_id: str) -> Optional[Tuple[float, float]]:
"""Get coordinates from Wikidata entity using P625 or P159."""
headers = {'User-Agent': 'GLAM-Extractor/1.0 (heritage research project)'}
url = f'https://www.wikidata.org/w/api.php?action=wbgetentities&ids={wikidata_id}&props=claims&format=json'
try:
req = urllib.request.Request(url, headers=headers)
with urllib.request.urlopen(req, timeout=30) as response:
data = json.loads(response.read().decode('utf-8'))
claims = data['entities'][wikidata_id]['claims']
# Try P625 (coordinates) first
if 'P625' in claims:
coords = claims['P625'][0]['mainsnak']['datavalue']['value']
return (coords['latitude'], coords['longitude'])
# Try P159 (headquarters location)
if 'P159' in claims:
loc_id = claims['P159'][0]['mainsnak']['datavalue']['value']['id']
time.sleep(0.5) # Rate limiting
# Get coordinates of headquarters
url2 = f'https://www.wikidata.org/w/api.php?action=wbgetentities&ids={loc_id}&props=claims&format=json'
req2 = urllib.request.Request(url2, headers=headers)
with urllib.request.urlopen(req2, timeout=30) as response2:
data2 = json.loads(response2.read().decode('utf-8'))
claims2 = data2['entities'][loc_id]['claims']
if 'P625' in claims2:
coords = claims2['P625'][0]['mainsnak']['datavalue']['value']
return (coords['latitude'], coords['longitude'])
return None
except Exception as e:
print(f" Error fetching Wikidata {wikidata_id}: {e}")
return None
def reverse_geocode(lat: float, lon: float, country: str, conn: sqlite3.Connection) -> Optional[Dict]:
"""Reverse geocode coordinates to nearest city in GeoNames."""
cursor = conn.cursor()
cursor.execute(f'''
SELECT geonames_id, name, ascii_name, admin1_code, admin2_code,
latitude, longitude, feature_code, population,
((latitude - ?) * (latitude - ?) + (longitude - ?) * (longitude - ?)) as distance_sq
FROM cities
WHERE country_code = ?
AND feature_code IN {SETTLEMENT_FEATURE_CODES}
ORDER BY distance_sq
LIMIT 1
''', (lat, lat, lon, lon, country))
row = cursor.fetchone()
if not row:
return None
return {
'geonames_id': row[0],
'name': row[1],
'ascii_name': row[2],
'admin1_code': row[3],
'admin2_code': row[4],
'latitude': row[5],
'longitude': row[6],
'feature_code': row[7],
'population': row[8],
'distance_sq': row[9],
}
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from name."""
words = city_name.split()
if len(words) == 1:
return city_name[:3].upper()
else:
initials = ''.join(w[0] for w in words if w)[:3]
return initials.upper()
def process_file(filepath: Path, conn: sqlite3.Connection, dry_run: bool = True) -> Tuple[bool, Optional[Path]]:
"""Process a single file to resolve XXX city code."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
print(f" Error reading {filepath}: {e}")
return False, None
# Check if has XXX city code
ghcid = data.get('ghcid', {})
loc_res = ghcid.get('location_resolution', {})
if loc_res.get('city_code', '') != 'XXX':
return False, None
country = loc_res.get('country_code', '')
if not country:
return False, None
# Get Wikidata ID
wikidata_id = None
if 'original_entry' in data and 'wikidata_id' in data['original_entry']:
wikidata_id = data['original_entry']['wikidata_id']
elif 'wikidata_enrichment' in data and 'wikidata_entity_id' in data['wikidata_enrichment']:
wikidata_id = data['wikidata_enrichment']['wikidata_entity_id']
if not wikidata_id:
return False, None
# Get coordinates from Wikidata
coords = get_wikidata_location(wikidata_id)
if not coords:
print(f" No coordinates for {wikidata_id}")
return False, None
lat, lon = coords
print(f" Coords: {lat:.4f}, {lon:.4f}")
# Reverse geocode
city_data = reverse_geocode(lat, lon, country, conn)
if not city_data:
print(f" No GeoNames match in {country}")
return False, None
city_name = city_data['ascii_name'] or city_data['name']
city_code = generate_city_code(city_name)
print(f" City: {city_name} ({city_code})")
# Update file
old_city_code = loc_res.get('city_code', 'XXX')
loc_res['city_code'] = city_code
loc_res['city_label'] = city_name
loc_res['geonames_id'] = city_data['geonames_id']
loc_res['method'] = 'WIKIDATA_COORDS_REVERSE_GEOCODE'
loc_res['resolution_timestamp'] = datetime.now(timezone.utc).isoformat()
# Update GHCID string
old_ghcid = ghcid.get('ghcid_current', '')
new_ghcid = old_ghcid.replace(f'-XXX-', f'-{city_code}-')
ghcid['ghcid_current'] = new_ghcid
# Add to history
if 'ghcid_history' not in ghcid:
ghcid['ghcid_history'] = []
ghcid['ghcid_history'].append({
'ghcid': new_ghcid,
'valid_from': datetime.now(timezone.utc).isoformat(),
'reason': f"City resolved via Wikidata {wikidata_id} coordinates: XXX->{city_code} ({city_name})"
})
# Add provenance note
if 'provenance' not in data:
data['provenance'] = {}
if 'notes' not in data['provenance']:
data['provenance']['notes'] = []
elif isinstance(data['provenance']['notes'], str):
data['provenance']['notes'] = [data['provenance']['notes']]
data['provenance']['notes'].append(
f"City resolved {datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')}: "
f"XXX->{city_code} via Wikidata {wikidata_id} coords ({lat:.4f},{lon:.4f}) -> {city_name} (GeoNames:{city_data['geonames_id']})"
)
# Determine new filename
new_filename = filepath.name.replace(f'-XXX-', f'-{city_code}-')
new_filepath = filepath.parent / new_filename
if not dry_run:
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
if new_filepath != filepath and not new_filepath.exists():
filepath.rename(new_filepath)
return True, new_filepath if new_filepath != filepath else None
def main():
import argparse
parser = argparse.ArgumentParser(description='Resolve XXX city codes using Wikidata coordinates')
parser.add_argument('--apply', action='store_true', help='Actually apply the fixes')
parser.add_argument('--path', type=str, default='data/custodian', help='Path to custodian files')
parser.add_argument('--limit', type=int, default=50, help='Limit number of files to process')
parser.add_argument('--country', type=str, help='Only process files for a specific country')
args = parser.parse_args()
custodian_dir = Path(args.path)
if not custodian_dir.exists():
print(f"Error: Directory {custodian_dir} does not exist")
sys.exit(1)
# Connect to GeoNames
if not GEONAMES_DB.exists():
print(f"Error: GeoNames database not found at {GEONAMES_DB}")
sys.exit(1)
conn = sqlite3.connect(GEONAMES_DB)
dry_run = not args.apply
print("=" * 70)
print("WIKIDATA COORDINATES CITY RESOLUTION")
print("=" * 70)
print(f"Mode: {'DRY RUN' if dry_run else 'APPLYING CHANGES'}")
print()
# Find files with XXX city codes
files_to_process = list(custodian_dir.glob('*-XXX-*.yaml'))
print(f"Found {len(files_to_process)} files with XXX codes")
# Filter and collect files with Wikidata IDs
file_data = []
for filepath in files_to_process:
if len(file_data) >= args.limit:
break
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
country = data.get('ghcid', {}).get('location_resolution', {}).get('country_code', '')
if args.country and country != args.country:
continue
# Check for Wikidata ID
wikidata_id = None
if 'original_entry' in data and 'wikidata_id' in data['original_entry']:
wikidata_id = data['original_entry']['wikidata_id']
elif 'wikidata_enrichment' in data and 'wikidata_entity_id' in data['wikidata_enrichment']:
wikidata_id = data['wikidata_enrichment']['wikidata_entity_id']
if not wikidata_id:
continue
file_data.append({
'filepath': filepath,
'wikidata_id': wikidata_id,
'country': country,
})
except Exception:
pass
print(f"Processing {len(file_data)} files with Wikidata IDs")
print()
resolved = 0
renamed = 0
for f in file_data:
filepath = f['filepath']
print(f"Processing {filepath.name}...")
print(f" Wikidata: {f['wikidata_id']}")
success, new_path = process_file(filepath, conn, dry_run=dry_run)
if success:
resolved += 1
if new_path:
renamed += 1
print(f" Renamed: {filepath.name} -> {new_path.name}")
time.sleep(0.5) # Rate limiting
conn.close()
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {len(file_data)}")
print(f"Resolved: {resolved}")
print(f"Renamed: {renamed}")
if dry_run:
print()
print("This was a DRY RUN. Use --apply to make changes.")
if __name__ == '__main__':
main()

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scripts/resolve_country_codes.py Normal file
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#!/usr/bin/env python3
"""
Resolve XX country codes using Wikidata P17 (country) lookup.
This script:
1. Finds files with XX country code
2. Extracts Wikidata IDs from the files
3. Queries Wikidata P17 to get country
4. Updates files with resolved country code
5. Renames files to match new GHCID
Following AGENTS.md Rules:
- Rule 5: Additive only - never delete existing data
"""
import os
import sys
import yaml
import json
import re
import urllib.request
import urllib.parse
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Dict, Any, List, Tuple
# Wikidata entity ID to ISO 3166-1 alpha-2 country code mapping
WIKIDATA_COUNTRY_TO_ISO = {
'Q213': 'CZ', # Czechia
'Q40': 'AT', # Austria
'Q183': 'DE', # Germany
'Q36': 'PL', # Poland
'Q39': 'CH', # Switzerland
'Q31': 'BE', # Belgium
'Q142': 'FR', # France
'Q145': 'GB', # United Kingdom
'Q38': 'IT', # Italy
'Q29': 'ES', # Spain
'Q55': 'NL', # Netherlands
'Q30': 'US', # United States
'Q17': 'JP', # Japan
'Q884': 'KR', # South Korea
'Q148': 'CN', # China
'Q668': 'IN', # India
'Q155': 'BR', # Brazil
'Q96': 'MX', # Mexico
'Q414': 'AR', # Argentina
'Q298': 'CL', # Chile
'Q45': 'PT', # Portugal
'Q27': 'IE', # Ireland
'Q20': 'NO', # Norway
'Q35': 'DK', # Denmark
'Q34': 'SE', # Sweden
'Q33': 'FI', # Finland
'Q211': 'LV', # Latvia
'Q37': 'LT', # Lithuania
'Q191': 'EE', # Estonia
'Q159': 'RU', # Russia
'Q212': 'UA', # Ukraine
'Q184': 'BY', # Belarus
'Q219': 'BG', # Bulgaria
'Q218': 'RO', # Romania
'Q28': 'HU', # Hungary
'Q214': 'SK', # Slovakia
'Q215': 'SI', # Slovenia
'Q224': 'HR', # Croatia
'Q225': 'BA', # Bosnia and Herzegovina
'Q117': 'GH', # Ghana
'Q115': 'ET', # Ethiopia
'Q1033': 'NG', # Nigeria
'Q258': 'ZA', # South Africa
'Q916': 'AO', # Angola
'Q1008': 'CI', # Ivory Coast
'Q114': 'KE', # Kenya
'Q1044': 'SN', # Senegal
'Q262': 'DZ', # Algeria
'Q1028': 'MA', # Morocco
'Q948': 'TN', # Tunisia
'Q79': 'EG', # Egypt
'Q1030': 'LY', # Libya
'Q265': 'UZ', # Uzbekistan
'Q232': 'KZ', # Kazakhstan
'Q863': 'TJ', # Tajikistan
'Q874': 'TM', # Turkmenistan
'Q813': 'KG', # Kyrgyzstan
'Q889': 'AF', # Afghanistan
'Q794': 'IR', # Iran
'Q796': 'IQ', # Iraq
'Q858': 'SY', # Syria
'Q801': 'IL', # Israel
'Q810': 'JO', # Jordan
'Q822': 'LB', # Lebanon
'Q846': 'QA', # Qatar
'Q878': 'AE', # United Arab Emirates
'Q851': 'SA', # Saudi Arabia
'Q805': 'YE', # Yemen
'Q842': 'OM', # Oman
'Q398': 'BH', # Bahrain
'Q817': 'KW', # Kuwait
'Q16': 'CA', # Canada
'Q408': 'AU', # Australia
'Q664': 'NZ', # New Zealand
'Q869': 'TH', # Thailand
'Q881': 'VN', # Vietnam
'Q928': 'PH', # Philippines
'Q252': 'ID', # Indonesia
'Q833': 'MY', # Malaysia
'Q334': 'SG', # Singapore
'Q836': 'MM', # Myanmar
'Q424': 'KH', # Cambodia
'Q819': 'LA', # Laos
'Q865': 'TW', # Taiwan
'Q921': 'BN', # Brunei
'Q399': 'AM', # Armenia
'Q230': 'GE', # Georgia
'Q227': 'AZ', # Azerbaijan
'Q217': 'MD', # Moldova
'Q229': 'CY', # Cyprus
'Q41': 'GR', # Greece
'Q43': 'TR', # Turkey
'Q221': 'MK', # North Macedonia
'Q222': 'AL', # Albania
'Q403': 'RS', # Serbia
'Q236': 'ME', # Montenegro
'Q23635': 'XK', # Kosovo
'Q347': 'LI', # Liechtenstein
'Q32': 'LU', # Luxembourg
'Q235': 'MC', # Monaco
'Q238': 'SM', # San Marino
'Q237': 'VA', # Vatican City
'Q228': 'AD', # Andorra
'Q233': 'MT', # Malta
'Q189': 'IS', # Iceland
'Q219060': 'PS', # Palestine
# Add more as needed
}
def extract_wikidata_ids(data: Dict[str, Any]) -> List[str]:
"""Extract all Wikidata IDs from custodian data."""
wikidata_ids = []
# Check identifiers array
if 'identifiers' in data:
for ident in data['identifiers']:
if ident.get('identifier_scheme') == 'Wikidata':
value = ident.get('identifier_value', '')
if value.startswith('Q'):
wikidata_ids.append(value)
# Check original_entry.identifiers
if 'original_entry' in data and 'identifiers' in data['original_entry']:
for ident in data['original_entry']['identifiers']:
if ident.get('identifier_scheme') == 'Wikidata':
value = ident.get('identifier_value', '')
if value.startswith('Q') and value not in wikidata_ids:
wikidata_ids.append(value)
# Check wikidata_enrichment
if 'wikidata_enrichment' in data:
wd_id = data['wikidata_enrichment'].get('wikidata_entity_id', '')
if wd_id.startswith('Q') and wd_id not in wikidata_ids:
wikidata_ids.append(wd_id)
return wikidata_ids
def query_wikidata_countries(wikidata_ids: List[str]) -> Dict[str, str]:
"""Query Wikidata for P17 (country) in batch."""
if not wikidata_ids:
return {}
values = ' '.join([f'wd:{qid}' for qid in wikidata_ids])
query = f"""
SELECT ?item ?country WHERE {{
VALUES ?item {{ {values} }}
?item wdt:P17 ?country.
}}
"""
url = "https://query.wikidata.org/sparql"
headers = {
'Accept': 'application/sparql-results+json',
'User-Agent': 'GLAM-Data-Project/1.0 (heritage institution research)'
}
data = urllib.parse.urlencode({'query': query}).encode('utf-8')
try:
request = urllib.request.Request(url, data=data, headers=headers)
with urllib.request.urlopen(request, timeout=60) as response:
result = json.loads(response.read().decode('utf-8'))
bindings = result.get('results', {}).get('bindings', [])
except Exception as e:
print(f" Wikidata SPARQL error: {e}")
return {}
country_map = {}
for row in bindings:
item_uri = row.get('item', {}).get('value', '')
country_uri = row.get('country', {}).get('value', '')
if item_uri and country_uri:
qid = item_uri.split('/')[-1]
country_qid = country_uri.split('/')[-1]
if country_qid in WIKIDATA_COUNTRY_TO_ISO:
country_map[qid] = WIKIDATA_COUNTRY_TO_ISO[country_qid]
return country_map
def update_custodian_file(filepath: Path, country_code: str, dry_run: bool = True) -> Tuple[bool, Optional[Path]]:
"""Update a custodian file with resolved country code."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
print(f" Error reading {filepath}: {e}")
return False, None
if 'ghcid' not in data:
return False, None
ghcid = data['ghcid']
if 'location_resolution' not in ghcid:
ghcid['location_resolution'] = {}
loc_res = ghcid['location_resolution']
# Check if country code is XX
old_country = loc_res.get('country_code', 'XX')
if old_country != 'XX':
return False, None
# Update country code
loc_res['country_code'] = country_code
loc_res['method'] = 'WIKIDATA_P17'
loc_res['resolution_timestamp'] = datetime.now(timezone.utc).isoformat()
# Update GHCID string
old_ghcid = ghcid.get('ghcid_current', '')
new_ghcid = old_ghcid.replace('XX-XX-', f'{country_code}-XX-')
if new_ghcid != old_ghcid:
ghcid['ghcid_current'] = new_ghcid
# Add to history
if 'ghcid_history' not in ghcid:
ghcid['ghcid_history'] = []
ghcid['ghcid_history'].append({
'ghcid': new_ghcid,
'valid_from': datetime.now(timezone.utc).isoformat(),
'reason': f"Country resolved via Wikidata P17: XX→{country_code}"
})
# Add provenance note
if 'provenance' not in data:
data['provenance'] = {}
if 'notes' not in data['provenance']:
data['provenance']['notes'] = []
elif isinstance(data['provenance']['notes'], str):
data['provenance']['notes'] = [data['provenance']['notes']]
data['provenance']['notes'].append(
f"Country resolved {datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')}: "
f"XX→{country_code} via Wikidata P17"
)
# Determine new filename
old_filename = filepath.name
new_filename = old_filename.replace('XX-XX-', f'{country_code}-XX-')
new_filepath = filepath.parent / new_filename
if not dry_run:
# Write updated file
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
# Rename if needed
if new_filepath != filepath and not new_filepath.exists():
filepath.rename(new_filepath)
return True, new_filepath if new_filepath != filepath else None
def main():
"""Main entry point."""
import argparse
parser = argparse.ArgumentParser(
description='Resolve XX country codes using Wikidata P17 lookup'
)
parser.add_argument('--apply', action='store_true',
help='Actually apply the fixes (default: dry run)')
parser.add_argument('--path', type=str, default='data/custodian',
help='Path to custodian files directory')
parser.add_argument('--limit', type=int, default=100,
help='Limit number of files to process')
args = parser.parse_args()
custodian_dir = Path(args.path)
if not custodian_dir.exists():
print(f"Error: Directory {custodian_dir} does not exist")
sys.exit(1)
dry_run = not args.apply
print("=" * 70)
print("COUNTRY CODE RESOLUTION VIA WIKIDATA P17")
print("=" * 70)
print(f"Mode: {'DRY RUN' if dry_run else 'APPLYING CHANGES'}")
print()
# Find files with XX country code
files_to_process = list(custodian_dir.glob('XX-*.yaml'))[:args.limit]
print(f"Found {len(files_to_process)} files with XX country code")
print()
# Load files and extract Wikidata IDs
file_data = []
for filepath in files_to_process:
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
wikidata_ids = extract_wikidata_ids(data)
file_data.append({
'filepath': filepath,
'data': data,
'wikidata_ids': wikidata_ids
})
except Exception as e:
print(f"Error loading {filepath}: {e}")
print(f"Loaded {len(file_data)} files")
# Count files with Wikidata IDs
with_wikidata = [f for f in file_data if f['wikidata_ids']]
without_wikidata = [f for f in file_data if not f['wikidata_ids']]
print(f" With Wikidata IDs: {len(with_wikidata)}")
print(f" Without Wikidata IDs: {len(without_wikidata)}")
print()
# Query Wikidata for countries in batch
all_wikidata_ids = []
for f in with_wikidata:
all_wikidata_ids.extend(f['wikidata_ids'])
all_wikidata_ids = list(set(all_wikidata_ids))
print(f"Querying Wikidata for {len(all_wikidata_ids)} entities...")
# Batch in groups of 50
all_countries = {}
for i in range(0, len(all_wikidata_ids), 50):
batch = all_wikidata_ids[i:i+50]
countries = query_wikidata_countries(batch)
all_countries.update(countries)
if i + 50 < len(all_wikidata_ids):
import time
time.sleep(1) # Rate limiting
print(f" Retrieved country for {len(all_countries)} entities")
print()
# Process files
resolved = 0
renamed = 0
no_country = []
# First process files with Wikidata IDs
for f in with_wikidata:
filepath = f['filepath']
wikidata_ids = f['wikidata_ids']
# Find country from any Wikidata ID
country_code = None
for wid in wikidata_ids:
if wid in all_countries:
country_code = all_countries[wid]
break
if not country_code:
no_country.append(filepath.name)
continue
# Update file
success, new_path = update_custodian_file(filepath, country_code, dry_run=dry_run)
if success:
resolved += 1
if new_path:
renamed += 1
print(f" {filepath.name} → {new_path.name}")
else:
print(f" Updated: {filepath.name}")
# Now process files without Wikidata IDs using source-based inference
source_resolved = 0
for f in without_wikidata:
filepath = f['filepath']
data = f['data']
# Try to infer country from source file
country_code = None
source = data.get('original_entry', {}).get('source', '')
# Czech source patterns
if 'czech' in source.lower() or 'cz_' in source.lower():
country_code = 'CZ'
# Austrian source patterns
elif 'austria' in source.lower() or 'at_' in source.lower():
country_code = 'AT'
# German source patterns
elif 'german' in source.lower() or 'de_' in source.lower():
country_code = 'DE'
# Swiss source patterns
elif 'swiss' in source.lower() or 'switzerland' in source.lower() or 'ch_' in source.lower():
country_code = 'CH'
# Belgian source patterns
elif 'belgium' in source.lower() or 'belgian' in source.lower() or 'be_' in source.lower():
country_code = 'BE'
# Dutch source patterns
elif 'dutch' in source.lower() or 'netherlands' in source.lower() or 'nl_' in source.lower():
country_code = 'NL'
# Japanese source patterns
elif 'japan' in source.lower() or 'jp_' in source.lower():
country_code = 'JP'
if country_code:
success, new_path = update_custodian_file(filepath, country_code, dry_run=dry_run)
if success:
source_resolved += 1
resolved += 1
if new_path:
renamed += 1
print(f" [source-inferred] {filepath.name} → {new_path.name}")
else:
no_country.append(filepath.name)
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {len(file_data)}")
print(f"With Wikidata IDs: {len(with_wikidata)}")
print(f"Source-inferred: {source_resolved}")
print(f"Resolved: {resolved}")
print(f"Renamed: {renamed}")
print(f"No country found: {len(no_country)}")
print(f"Without Wikidata IDs: {len(without_wikidata)}")
if no_country and len(no_country) <= 20:
print()
print("Files without country resolution:")
for name in no_country:
print(f" - {name}")
if dry_run:
print()
print("This was a DRY RUN. Use --apply to make changes.")
if __name__ == '__main__':
main()

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scripts/resolve_cz_xx_regions.py Normal file
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#!/usr/bin/env python3
"""
Resolve CZ-XX (unknown region) files to proper ISO 3166-2:CZ region codes.
This script updates 36 Czech institution files that have placeholder XX region codes
to their correct ISO 3166-2:CZ region codes based on researched location data.
Research completed 2025-12-07 via GeoNames database and web searches.
"""
import os
import re
import yaml
from datetime import datetime, timezone
from pathlib import Path
# GeoNames Admin1 → ISO 3166-2:CZ region code mapping
ADMIN1_TO_ISO = {
'52': '10', # Prague
'78': '64', # South Moravian (Jihomoravský)
'79': '31', # South Bohemian (Jihočeský)
'80': '63', # Vysočina
'81': '41', # Karlovy Vary
'82': '52', # Hradec Králové
'83': '51', # Liberec
'84': '71', # Olomouc
'85': '80', # Moravian-Silesian (Moravskoslezský)
'86': '53', # Pardubice
'87': '32', # Plzeň
'88': '20', # Central Bohemian (Středočeský)
'89': '42', # Ústí nad Labem
'90': '72', # Zlín
}
# Research results: mapping from old filename suffix to resolution data
# Format: (new_region_code, new_city_code, city_name, geonames_id, admin1_code)
RESOLUTIONS = {
# Archives (A)
'A-SAČTÚ': ('10', 'PRA', 'Prague', 3067696, '52'),
'A-SAČÚZK': ('10', 'PRA', 'Prague', 3067696, '52'),
'A-SAERÚ': ('63', 'JIH', 'Jihlava', 3074199, '80'),
'A-SAÚPOHS': ('64', 'BRN', 'Brno', 3078610, '78'),
'A-BSS': ('51', 'MAS', 'Malá Skála', 3071223, '83'),
'A-PSJAK': ('53', 'BNO', 'Brandýs nad Orlicí', 3078836, '86'),
'A-ZI': ('10', 'PRA', 'Prague', 3067696, '52'), # Admin location
# Galleries (G)
'G-GAU': ('52', 'HOS', 'Hostinné', 3075058, '82'),
'G-GVP': ('20', 'MLB', 'Mladá Boleslav', 3070544, '88'),
# Libraries (L) - Many are research institutes in Prague/Brno
'L-SÚPRO': ('10', 'PRA', 'Prague', 3067696, '52'), # ABE064
'L-ÚRB': ('10', 'PRA', 'Prague', 3067696, '52'), # ABE444
'L-ÚSLOZ': ('10', 'PRA', 'Prague', 3067696, '52'), # ABE215
'L-VŠZFA': ('10', 'PRA', 'Prague', 3067696, '52'),
'L-VŠZR': ('10', 'PRA', 'Prague', 3067696, '52'),
'L-VÚB': ('64', 'BRN', 'Brno', 3078610, '78'), # BOC006
'L-VÚI': ('10', 'PRA', 'Prague', 3067696, '52'), # ABC043
'L-VÚP': ('10', 'PRA', 'Prague', 3067696, '52'), # ABC066
'L-VÚRV': ('10', 'PRA', 'Prague', 3067696, '52'), # ABC162
'L-VUTÚTMŘP': ('64', 'BRN', 'Brno', 3078610, '78'),
'L-VVÚNP': ('64', 'BRN', 'Brno', 3078610, '78'), # BOF045
'L-ZVVZVÚV': ('10', 'PRA', 'Prague', 3067696, '52'), # ABF127
# Museums (M)
'M-BMOP': ('32', 'KPC', 'Klenčí pod Čerchovem', 3073644, '87'),
'M-MD': ('10', 'PRA', 'Prague', 3067696, '52'),
'M-MH': ('20', 'KNC', 'Kostelec nad Černými Lesy', 3073152, '88'),
'M-MJD': ('32', 'CHU', 'Chudenice', 3077528, '87'),
'M-MKISMDAH': ('63', 'HUM', 'Humpolec', 3074723, '80'),
'M-MMGLK': ('20', 'POD', 'Poděbrady', 3068107, '88'),
'M-MMM': ('42', 'MIK', 'Mikulášovice', 3070725, '89'), # Mikcentrum!
'M-MMSR': ('10', 'PRA', 'Prague', 3067696, '52'),
'M-MRV': ('51', 'DES', 'Desná', 3077198, '83'),
'M-MSČ': ('20', 'OST', 'Ostředek', 3068792, '88'),
'M-MTZSŘ': ('52', 'DEO', 'Deštné v Orlických horách', 3077191, '82'),
'M-MVBŽS': ('31', 'VOD', 'Vodňany', 3062642, '79'),
'M-PDEHAM': ('53', 'HOL', 'Holice', 3075599, '86'),
'M-PMJH': ('31', 'HUS', 'Husinec', 3074686, '79'),
'M-PZV': ('51', 'PNJ', 'Paseky nad Jizerou', 3068552, '83'),
}
def generate_city_code(city_name: str) -> str:
"""Generate 3-letter city code from city name."""
# Remove diacritics and common prefixes
import unicodedata
normalized = unicodedata.normalize('NFD', city_name)
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Handle multi-word names
words = ascii_name.split()
# Skip common prefixes in Czech
skip_words = {'nad', 'pod', 'v', 'u', 'na'}
significant_words = [w for w in words if w.lower() not in skip_words]
if len(significant_words) == 1:
# Single word: first 3 letters
return significant_words[0][:3].upper()
elif len(significant_words) >= 2:
# Multi-word: initials
return ''.join(w[0].upper() for w in significant_words[:3])
else:
return ascii_name[:3].upper()
def update_yaml_file(filepath: Path, resolution: tuple) -> tuple:
"""
Update a YAML file with resolved region/city data.
Returns: (old_ghcid, new_ghcid, new_filepath)
"""
region_code, city_code, city_name, geonames_id, admin1_code = resolution
with open(filepath, 'r', encoding='utf-8') as f:
content = f.read()
# Parse YAML
data = yaml.safe_load(content)
# Extract current GHCID
old_ghcid = data.get('ghcid', {}).get('ghcid_current', '')
# Build new GHCID
# Pattern: CZ-XX-XXX-{TYPE}-{ABBREV} -> CZ-{REGION}-{CITY}-{TYPE}-{ABBREV}
match = re.match(r'CZ-XX-XXX-([A-Z])-(.+)$', old_ghcid)
if not match:
print(f" WARNING: Could not parse GHCID: {old_ghcid}")
return None, None, None
inst_type, abbrev = match.groups()
new_ghcid = f"CZ-{region_code}-{city_code}-{inst_type}-{abbrev}"
timestamp = datetime.now(timezone.utc).isoformat()
# Update ghcid section
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['location_resolution'] = {
'method': 'GEONAMES_RESEARCH',
'country_code': 'CZ',
'region_code': region_code,
'region_name': get_region_name(region_code),
'city_code': city_code,
'city_name': city_name,
'geonames_id': geonames_id,
'admin1_code': admin1_code,
'resolution_timestamp': timestamp,
'research_date': '2025-12-07',
'research_method': 'GeoNames database + web search verification'
}
# Add history entry
if 'ghcid_history' not in data['ghcid']:
data['ghcid']['ghcid_history'] = []
data['ghcid']['ghcid_history'].append({
'ghcid': new_ghcid,
'valid_from': timestamp,
'reason': f'Region resolved via GeoNames research: XX→{region_code}, city: {city_name} (GeoNames ID: {geonames_id})'
})
# Update provenance notes
if 'provenance' not in data:
data['provenance'] = {}
if 'notes' not in data['provenance']:
data['provenance']['notes'] = []
data['provenance']['notes'].append(
f'Region resolved {timestamp[:10]}: XX→CZ-{region_code} ({city_name}) via GeoNames research'
)
# Update location if present
if 'location' not in data:
data['location'] = {}
data['location']['city'] = city_name
data['location']['country'] = 'CZ'
data['location']['region'] = get_region_name(region_code)
data['location']['geonames_id'] = geonames_id
# Write updated YAML
new_filename = f"{new_ghcid}.yaml"
new_filepath = filepath.parent / new_filename
with open(new_filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
# Remove old file if different
if new_filepath != filepath:
filepath.unlink()
return old_ghcid, new_ghcid, new_filepath
def get_region_name(region_code: str) -> str:
"""Get region name from ISO 3166-2:CZ code."""
region_names = {
'10': 'Prague',
'20': 'Central Bohemian',
'31': 'South Bohemian',
'32': 'Plzeň',
'41': 'Karlovy Vary',
'42': 'Ústí nad Labem',
'51': 'Liberec',
'52': 'Hradec Králové',
'53': 'Pardubice',
'63': 'Vysočina',
'64': 'South Moravian',
'71': 'Olomouc',
'72': 'Zlín',
'80': 'Moravian-Silesian',
}
return region_names.get(region_code, 'Unknown')
def main():
"""Main execution function."""
custodian_dir = Path('/Users/kempersc/apps/glam/data/custodian')
# Find all CZ-XX-XXX files
xx_files = list(custodian_dir.glob('CZ-XX-XXX-*.yaml'))
print(f"Found {len(xx_files)} CZ-XX-XXX files to resolve")
resolved = 0
failed = 0
for filepath in sorted(xx_files):
filename = filepath.stem
# Extract suffix (e.g., "A-SAČTÚ" from "CZ-XX-XXX-A-SAČTÚ")
suffix_match = re.match(r'CZ-XX-XXX-(.+)$', filename)
if not suffix_match:
print(f" SKIP: Could not parse filename: {filename}")
failed += 1
continue
suffix = suffix_match.group(1)
if suffix not in RESOLUTIONS:
print(f" SKIP: No resolution for: {suffix}")
failed += 1
continue
resolution = RESOLUTIONS[suffix]
try:
old_ghcid, new_ghcid, new_filepath = update_yaml_file(filepath, resolution)
if old_ghcid and new_ghcid:
print(f" ✓ {old_ghcid} → {new_ghcid}")
resolved += 1
else:
print(f" ✗ Failed to update: {filepath.name}")
failed += 1
except Exception as e:
print(f" ✗ Error processing {filepath.name}: {e}")
failed += 1
print(f"\n{'='*60}")
print(f"SUMMARY: Resolved {resolved}/{len(xx_files)} files")
if failed:
print(f" Failed: {failed}")
# Verify no CZ-XX files remain
remaining = list(custodian_dir.glob('CZ-XX-*.yaml'))
print(f"\nRemaining CZ-XX files: {len(remaining)}")
if remaining:
for f in remaining:
print(f" - {f.name}")
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Resolve XX region codes using city names extracted from institution names.
This script handles files without coordinates or Wikidata IDs by:
1. Extracting city names from institution names
2. Looking up cities in GeoNames database
3. Mapping to ISO 3166-2 region codes
Following AGENTS.md Rules:
- Rule 5: Additive only - never delete existing data
"""
import os
import sys
import yaml
import sqlite3
import re
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Dict, Any, List, Tuple
# Belgian city name patterns
BELGIAN_CITIES = {
'brussel': 'BRU', 'bruxelles': 'BRU', 'brussels': 'BRU',
'antwerpen': 'VAN', 'anvers': 'VAN', 'antwerp': 'VAN',
'gent': 'VOV', 'ghent': 'VOV', 'gand': 'VOV',
'brugge': 'VWV', 'bruges': 'VWV',
'leuven': 'VBR', 'louvain': 'VBR',
'mechelen': 'VAN', 'malines': 'VAN',
'hasselt': 'VLI',
'luik': 'WLG', 'liège': 'WLG', 'liege': 'WLG',
'charleroi': 'WHT',
'namur': 'WNA', 'namen': 'WNA',
'mons': 'WHT', 'bergen': 'WHT',
'tournai': 'WHT', 'doornik': 'WHT',
'kortrijk': 'VWV', 'courtrai': 'VWV',
'oostende': 'VWV', 'ostende': 'VWV',
'aalst': 'VOV', 'alost': 'VOV',
'sint-niklaas': 'VOV',
'dendermonde': 'VOV',
'genk': 'VLI',
'roeselare': 'VWV',
'mouscron': 'WHT', 'moeskroen': 'WHT',
'tienen': 'VBR', 'tirlemont': 'VBR',
'ieper': 'VWV', 'ypres': 'VWV',
'turnhout': 'VAN',
'waregem': 'VWV',
'lokeren': 'VOV',
'beveren': 'VOV',
'vilvoorde': 'VBR',
'dilbeek': 'VBR',
'schoten': 'VAN',
'brasschaat': 'VAN',
'boom': 'VAN',
'mortsel': 'VAN',
'temse': 'VOV',
'herzele': 'VOV',
'brecht': 'VAN',
'oudenaarde': 'VOV',
'rotselaar': 'VBR',
'niel': 'VAN',
'lint': 'VAN',
'ravels': 'VAN',
'bree': 'VLI',
'peer': 'VLI',
'meeuwen': 'VLI',
'gruitrode': 'VLI',
'arlon': 'WLX', 'aarlen': 'WLX',
'bastogne': 'WLX', 'bastenaken': 'WLX',
}
# Austrian state codes
AUSTRIAN_STATES = {
'wien': '9', 'vienna': '9',
'salzburg': '5',
'tirol': '7', 'tyrol': '7', 'innsbruck': '7',
'vorarlberg': '8', 'bregenz': '8',
'kärnten': '2', 'carinthia': '2', 'klagenfurt': '2',
'steiermark': '6', 'styria': '6', 'graz': '6',
'oberösterreich': '4', 'upper austria': '4', 'linz': '4',
'niederösterreich': '3', 'lower austria': '3', 'st. pölten': '3',
'burgenland': '1', 'eisenstadt': '1',
}
# Bulgarian province codes
BULGARIAN_PROVINCES = {
'sofia': '22', 'софія': '22',
'plovdiv': '16', 'пловдив': '16',
'varna': '03', 'варна': '03',
'burgas': '02', 'бургас': '02',
'ruse': '18', 'русе': '18',
'stara zagora': '24',
'pleven': '15', 'плевен': '15',
}
# Swiss canton codes (abbreviated)
SWISS_CANTONS = {
'zürich': 'ZH', 'zurich': 'ZH',
'bern': 'BE', 'berne': 'BE',
'luzern': 'LU', 'lucerne': 'LU',
'genève': 'GE', 'geneva': 'GE', 'genf': 'GE',
'basel': 'BS',
'lausanne': 'VD',
'winterthur': 'ZH',
'st. gallen': 'SG', 'st gallen': 'SG',
'lugano': 'TI',
'biel': 'BE', 'bienne': 'BE',
'thun': 'BE',
'fribourg': 'FR', 'freiburg': 'FR',
'schaffhausen': 'SH',
'chur': 'GR',
'neuchâtel': 'NE', 'neuchatel': 'NE',
'sion': 'VS',
'aarau': 'AG',
'baden': 'AG',
}
def extract_city_from_name(name: str, country: str) -> Optional[Tuple[str, str]]:
"""
Extract city name from institution name.
Returns (city_name, region_code) or None.
"""
name_lower = name.lower()
if country == 'BE':
for city, region in BELGIAN_CITIES.items():
if city in name_lower:
return (city.title(), region)
elif country == 'AT':
for city, region in AUSTRIAN_STATES.items():
if city in name_lower:
return (city.title(), region)
elif country == 'BG':
for city, region in BULGARIAN_PROVINCES.items():
if city in name_lower:
return (city.title(), region)
elif country == 'CH':
for city, region in SWISS_CANTONS.items():
if city in name_lower:
return (city.title(), region)
return None
def update_file_with_region(filepath: Path, region_code: str, city_name: str,
dry_run: bool = True) -> Tuple[bool, Optional[Path]]:
"""Update a custodian file with resolved region code."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
print(f" Error reading {filepath}: {e}")
return False, None
if 'ghcid' not in data:
return False, None
ghcid = data['ghcid']
if 'location_resolution' not in ghcid:
ghcid['location_resolution'] = {}
loc_res = ghcid['location_resolution']
country_code = loc_res.get('country_code', '')
if not country_code:
return False, None
old_region = loc_res.get('region_code', 'XX')
if old_region != 'XX':
return False, None
# Update location resolution
loc_res['region_code'] = region_code
loc_res['region_name'] = city_name
loc_res['method'] = 'NAME_LOOKUP'
loc_res['resolution_timestamp'] = datetime.now(timezone.utc).isoformat()
# Update GHCID string
old_ghcid = ghcid.get('ghcid_current', '')
new_ghcid = old_ghcid.replace(f'{country_code}-XX-', f'{country_code}-{region_code}-')
if new_ghcid != old_ghcid:
ghcid['ghcid_current'] = new_ghcid
if 'ghcid_history' not in ghcid:
ghcid['ghcid_history'] = []
ghcid['ghcid_history'].append({
'ghcid': new_ghcid,
'valid_from': datetime.now(timezone.utc).isoformat(),
'reason': f"Region resolved via name lookup: XX->{region_code} (city: {city_name})"
})
# Add provenance note
if 'provenance' not in data:
data['provenance'] = {}
if 'notes' not in data['provenance']:
data['provenance']['notes'] = []
elif isinstance(data['provenance']['notes'], str):
data['provenance']['notes'] = [data['provenance']['notes']]
data['provenance']['notes'].append(
f"Region resolved {datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ')}: "
f"XX->{region_code} via name lookup (city: {city_name})"
)
# Determine new filename
new_filename = filepath.name.replace(f'{country_code}-XX-', f'{country_code}-{region_code}-')
new_filepath = filepath.parent / new_filename
if not dry_run:
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
if new_filepath != filepath and not new_filepath.exists():
filepath.rename(new_filepath)
return True, new_filepath if new_filepath != filepath else None
def main():
"""Main entry point."""
import argparse
parser = argparse.ArgumentParser(
description='Resolve XX region codes using city names from institution names'
)
parser.add_argument('--apply', action='store_true',
help='Actually apply the fixes (default: dry run)')
parser.add_argument('--path', type=str, default='data/custodian',
help='Path to custodian files directory')
parser.add_argument('--limit', type=int, default=100,
help='Limit number of files to process')
parser.add_argument('--country', type=str,
help='Only process files for a specific country')
args = parser.parse_args()
custodian_dir = Path(args.path)
if not custodian_dir.exists():
print(f"Error: Directory {custodian_dir} does not exist")
sys.exit(1)
dry_run = not args.apply
print("=" * 70)
print("REGION RESOLUTION VIA NAME LOOKUP")
print("=" * 70)
print(f"Mode: {'DRY RUN' if dry_run else 'APPLYING CHANGES'}")
print()
# Find files with XX region codes
files_to_process = []
for filepath in custodian_dir.glob('*-XX-*.yaml'):
files_to_process.append(filepath)
print(f"Found {len(files_to_process)} files with XX region codes")
# Load files and extract institution names
file_data = []
for filepath in files_to_process[:args.limit]:
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
# Get country code
country = None
if 'ghcid' in data and 'location_resolution' in data['ghcid']:
country = data['ghcid']['location_resolution'].get('country_code')
if not country:
continue
if args.country and country != args.country:
continue
# Get institution name
name = None
if 'custodian_name' in data:
name = data['custodian_name'].get('claim_value')
if not name and 'original_entry' in data:
name = data['original_entry'].get('name')
if not name:
continue
file_data.append({
'filepath': filepath,
'data': data,
'country': country,
'name': name
})
except Exception as e:
print(f"Error loading {filepath}: {e}")
print(f"Processing {len(file_data)} files with institution names")
print()
# Process each file
resolved = 0
renamed = 0
no_match = 0
for f in file_data:
filepath = f['filepath']
name = f['name']
country = f['country']
# Try to extract city from name
result = extract_city_from_name(name, country)
if not result:
no_match += 1
continue
city_name, region_code = result
print(f"Processing {filepath.name}...")
print(f" Name: {name}")
print(f" City: {city_name} -> Region: {region_code}")
# Update file
success, new_path = update_file_with_region(filepath, region_code, city_name, dry_run=dry_run)
if success:
resolved += 1
if new_path:
renamed += 1
print(f" {filepath.name} -> {new_path.name}")
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {len(file_data)}")
print(f"Resolved: {resolved}")
print(f"Renamed: {renamed}")
print(f"No city match: {no_match}")
if dry_run:
print()
print("This was a DRY RUN. Use --apply to make changes.")
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Resolve XX region codes using city names already in the file.
This script handles files that have city data but unknown region codes.
It looks up the city in GeoNames to get the admin1 (region) code.
Following AGENTS.md Rules:
- Rule 5: Additive only - never delete existing data
- GHCID settlement standardization: GeoNames is authoritative
"""
import os
import sys
import yaml
import sqlite3
import re
import unicodedata
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Dict, Any, List, Tuple
# GeoNames database
GEONAMES_DB = Path(__file__).parent.parent / "data/reference/geonames.db"
CUSTODIAN_DIR = Path(__file__).parent.parent / "data/custodian"
# Feature codes for proper settlements (EXCLUDE PPLX neighborhoods)
SETTLEMENT_FEATURE_CODES = ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
# Country-specific region code mappings (GeoNames admin1 → ISO 3166-2)
COUNTRY_ADMIN_MAPS = {
'NL': {
'01': 'DR', '02': 'FR', '03': 'GE', '04': 'GR', '05': 'LI',
'06': 'NB', '07': 'NH', '09': 'UT', '10': 'ZE', '11': 'ZH',
'15': 'OV', '16': 'FL'
},
'BE': {
'VAN': 'VAN', 'VBR': 'VBR', 'VLI': 'VLI', 'VOV': 'VOV', 'VWV': 'VWV',
'WBR': 'WBR', 'WHT': 'WHT', 'WLG': 'WLG', 'WLX': 'WLX', 'WNA': 'WNA',
'BRU': 'BRU'
},
# Georgia: GeoNames admin1 → ISO 3166-2:GE
'GE': {
'51': 'TB', # Tbilisi
'04': 'AJ', # Adjara
'67': 'KA', # Kakheti
'66': 'IM', # Imereti
'68': 'KK', # Kvemo Kartli
'69': 'MM', # Mtskheta-Mtianeti
'70': 'RL', # Racha-Lechkhumi and Kvemo Svaneti
'71': 'SZ', # Samegrelo and Zemo Svaneti
'72': 'SJ', # Samtskhe-Javakheti
'73': 'SK', # Shida Kartli
'65': 'GU', # Guria
},
# Czech Republic: GeoNames admin1 → ISO 3166-2:CZ (2-digit NUTS codes)
# Source: https://en.wikipedia.org/wiki/ISO_3166-2:CZ
'CZ': {
'52': '10', # Prague (Praha)
'88': '20', # Central Bohemian (Středočeský kraj)
'79': '31', # South Bohemian (Jihočeský kraj)
'87': '32', # Plzeň Region (Plzeňský kraj)
'81': '41', # Karlovy Vary Region (Karlovarský kraj)
'89': '42', # Ústí nad Labem Region (Ústecký kraj)
'83': '51', # Liberec Region (Liberecký kraj)
'82': '52', # Hradec Králové Region (Královéhradecký kraj)
'86': '53', # Pardubice Region (Pardubický kraj)
'80': '63', # Vysočina Region
'78': '64', # South Moravian (Jihomoravský kraj)
'84': '71', # Olomouc Region (Olomoucký kraj)
'90': '72', # Zlín Region (Zlínský kraj)
'85': '80', # Moravian-Silesian (Moravskoslezský kraj)
},
# Austria: GeoNames admin1 → ISO 3166-2:AT
'AT': {
'01': '1', # Burgenland
'02': '2', # Kärnten (Carinthia)
'03': '3', # Niederösterreich (Lower Austria)
'04': '4', # Oberösterreich (Upper Austria)
'05': '5', # Salzburg
'06': '6', # Steiermark (Styria)
'07': '7', # Tirol (Tyrol)
'08': '8', # Vorarlberg
'09': '9', # Wien (Vienna)
},
# Bulgaria: GeoNames admin1 → ISO 3166-2:BG (2-letter province codes)
'BG': {
'38': '01', # Blagoevgrad
'39': '02', # Burgas
'40': '08', # Dobrich
'41': '07', # Gabrovo
'42': '26', # Haskovo
'43': '09', # Kardzhali (Kurdzhali)
'44': '10', # Kyustendil
'45': '11', # Lovech
'46': '12', # Montana
'47': '13', # Pazardzhik
'48': '14', # Pernik
'49': '15', # Pleven
'50': '16', # Plovdiv
'51': '17', # Razgrad
'52': '18', # Ruse
'53': '27', # Shumen
'54': '19', # Silistra
'55': '20', # Sliven
'56': '21', # Smolyan
'57': '23', # Sofia (Sofiya-Grad)
'58': '22', # Sofia Province (Sofiya)
'59': '24', # Stara Zagora
'60': '25', # Targovishte
'61': '03', # Varna
'62': '04', # Veliko Tarnovo
'63': '05', # Vidin
'64': '06', # Vratsa
'65': '28', # Yambol
},
# Switzerland: GeoNames already uses ISO 3166-2:CH canton codes
'CH': {
'AG': 'AG', 'AI': 'AI', 'AR': 'AR', 'BE': 'BE', 'BL': 'BL',
'BS': 'BS', 'FR': 'FR', 'GE': 'GE', 'GL': 'GL', 'GR': 'GR',
'JU': 'JU', 'LU': 'LU', 'NE': 'NE', 'NW': 'NW', 'OW': 'OW',
'SG': 'SG', 'SH': 'SH', 'SO': 'SO', 'SZ': 'SZ', 'TG': 'TG',
'TI': 'TI', 'UR': 'UR', 'VD': 'VD', 'VS': 'VS', 'ZG': 'ZG',
'ZH': 'ZH',
},
# Vietnam: GeoNames admin1 codes are the ISO 3166-2:VN codes (use directly)
# GeoNames uses 2-digit codes that match ISO 3166-2:VN province codes
'VN': {
'01': 'HN', # Hanoi (Ha Noi)
'31': 'HP', # Hai Phong
'48': 'DN', # Da Nang (Đà Nẵng)
'79': 'SG', # Ho Chi Minh City (Saigon)
'92': 'CT', # Can Tho
'75': 'DNa', # Dong Nai
'24': 'BN', # Bac Ninh
'22': 'QN', # Quang Ninh (Quảng Ninh)
'38': 'TH', # Thanh Hoa (Thanh Hóa)
'46': 'TTH', # Thua Thien-Hue (Thừa Thiên Huế)
'40': 'NA', # Nghe An (Nghệ An)
'04': 'CB', # Cao Bang
'37': 'NB', # Ninh Binh
'56': 'KH', # Khanh Hoa
'66': 'DLK', # Dak Lak
'68': 'LDG', # Lam Dong
'91': 'AG', # An Giang
'86': 'VL', # Vinh Long
'82': 'DTP', # Dong Thap
'80': 'TNi', # Tay Ninh
'96': 'CMa', # Ca Mau
'51': 'QNg', # Quang Ngai
'52': 'GL', # Gia Lai
'19': 'TN', # Thai Nguyen
'25': 'PT', # Phu Tho
},
# Japan: GeoNames admin1 → ISO 3166-2:JP (2-digit prefecture codes)
# See: https://en.wikipedia.org/wiki/ISO_3166-2:JP
'JP': {
'01': '23', # Aichi
'02': '05', # Akita
'03': '02', # Aomori
'04': '12', # Chiba
'05': '38', # Ehime
'06': '18', # Fukui
'07': '40', # Fukuoka
'08': '07', # Fukushima
'09': '21', # Gifu
'10': '10', # Gunma
'11': '34', # Hiroshima
'12': '01', # Hokkaido
'13': '28', # Hyogo
'14': '08', # Ibaraki
'15': '17', # Ishikawa
'16': '03', # Iwate
'17': '37', # Kagawa
'18': '46', # Kagoshima
'19': '14', # Kanagawa
'20': '39', # Kochi
'21': '43', # Kumamoto
'22': '26', # Kyoto
'23': '24', # Mie
'24': '04', # Miyagi
'25': '45', # Miyazaki
'26': '20', # Nagano
'27': '42', # Nagasaki
'28': '29', # Nara
'29': '15', # Niigata
'30': '44', # Oita
'31': '33', # Okayama
'32': '27', # Osaka
'33': '41', # Saga
'34': '11', # Saitama
'35': '25', # Shiga
'36': '32', # Shimane
'37': '22', # Shizuoka
'38': '09', # Tochigi
'39': '36', # Tokushima
'40': '13', # Tokyo
'41': '31', # Tottori
'42': '16', # Toyama
'43': '30', # Wakayama
'44': '06', # Yamagata
'45': '35', # Yamaguchi
'46': '19', # Yamanashi
'47': '47', # Okinawa
},
# Egypt: GeoNames admin1 → ISO 3166-2:EG
# See: https://en.wikipedia.org/wiki/ISO_3166-2:EG
'EG': {
'01': 'DK', # Dakahlia
'02': 'BA', # Red Sea (Al Bahr al Ahmar)
'03': 'BH', # Beheira
'04': 'FYM', # Faiyum
'05': 'GH', # Gharbia
'06': 'ALX', # Alexandria
'07': 'IS', # Ismailia
'08': 'GZ', # Giza
'09': 'MNF', # Monufia
'10': 'MN', # Minya
'11': 'C', # Cairo
'12': 'KB', # Qalyubia
'13': 'WAD', # New Valley (Al Wadi al Jadid)
'14': 'SHR', # Sharqia
'15': 'SUZ', # Suez
'16': 'ASN', # Aswan
'17': 'AST', # Asyut
'18': 'BNS', # Beni Suweif
'19': 'PTS', # Port Said
'20': 'DT', # Damietta
'21': 'KFS', # Kafr el-Sheikh
'22': 'MT', # Matruh
'23': 'KN', # Qena
'24': 'SHG', # Sohag
'26': 'JS', # South Sinai
'27': 'SIN', # North Sinai
'28': 'LX', # Luxor
},
}
# City name translations (native → GeoNames ASCII name)
# Many cities in GeoNames use English/anglicized names
CITY_NAME_TRANSLATIONS = {
# German → English
'wien': 'vienna',
'munchen': 'munich',
'koln': 'cologne',
'nurnberg': 'nuremberg',
'braunschweig': 'brunswick',
# Czech → GeoNames (use normalized/ASCII keys)
'praha': 'prague',
'plzen': 'pilsen', # Plzeň → plzen after normalization
'brno': 'brno',
'ostrava': 'ostrava',
# Swiss cities
'geneve': 'geneva',
'zurich': 'zurich',
'bern': 'berne',
'basel': 'basle',
# Italian cities
'roma': 'rome',
'milano': 'milan',
'napoli': 'naples',
'firenze': 'florence',
'venezia': 'venice',
'torino': 'turin',
# Austrian special cases (use normalized keys after diacritics removal)
# GeoNames uses 'oe' for ö, so 'Sankt Poelten'
'st. polten': 'sankt poelten',
'st polten': 'sankt poelten',
'sankt polten': 'sankt poelten',
# Japanese cities - complex administrative format to GeoNames
# Format: "District Gun City Machi/Cho" → just the city name
'haga gun motegi machi': 'motegi',
'motegi machi': 'motegi',
# Egyptian landmarks → Cairo
'nile corniche': 'cairo',
}
def normalize_city_name(name: str) -> str:
"""Normalize city name for matching."""
# NFD normalization to separate diacritics
normalized = unicodedata.normalize('NFD', name)
# Remove diacritics
ascii_name = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Lowercase
return ascii_name.lower().strip()
def clean_city_name(city: str) -> str:
"""Extract base city name from complex strings like 'Praha 1' or 'Zlín - Louky'."""
# Remove district numbers like "Praha 1", "Praha 9 - Běchovice"
city = re.sub(r'\s+\d+.*$', '', city)
# Remove parts after dash
city = re.sub(r'\s*-\s*.*$', '', city)
# Remove postal code patterns
city = re.sub(r'\s+\d{3}\s*\d{2}.*$', '', city)
return city.strip()
def lookup_city_region(city_name: str, country: str, conn: sqlite3.Connection) -> Optional[Dict]:
"""Look up city in GeoNames and return region info."""
cursor = conn.cursor()
# Clean city name
base_city = clean_city_name(city_name)
normalized = normalize_city_name(base_city)
# Check for translated name (native → GeoNames)
if normalized in CITY_NAME_TRANSLATIONS:
translated = CITY_NAME_TRANSLATIONS[normalized]
else:
translated = normalized
# Try translated name first, then normalized
row = None
for search_name in [translated, normalized]:
cursor.execute(f'''
SELECT geonames_id, name, ascii_name, admin1_code, admin2_code,
latitude, longitude, feature_code, population
FROM cities
WHERE country_code = ?
AND feature_code IN {SETTLEMENT_FEATURE_CODES}
AND LOWER(ascii_name) = ?
ORDER BY population DESC
LIMIT 1
''', (country, search_name))
row = cursor.fetchone()
if row:
break
# If no match, try LIKE search with normalized name
if not row:
cursor.execute(f'''
SELECT geonames_id, name, ascii_name, admin1_code, admin2_code,
latitude, longitude, feature_code, population
FROM cities
WHERE country_code = ?
AND feature_code IN {SETTLEMENT_FEATURE_CODES}
AND LOWER(ascii_name) LIKE ?
ORDER BY population DESC
LIMIT 1
''', (country, f'{normalized}%'))
row = cursor.fetchone()
if not row:
return None
return {
'geonames_id': row[0],
'name': row[1],
'ascii_name': row[2],
'admin1_code': row[3],
'admin2_code': row[4],
'latitude': row[5],
'longitude': row[6],
'feature_code': row[7],
'population': row[8],
}
def get_region_code(country: str, admin1_code: Optional[str], admin2_code: Optional[str] = None) -> str:
"""Convert GeoNames admin codes to ISO 3166-2 region codes."""
if country in COUNTRY_ADMIN_MAPS:
country_map = COUNTRY_ADMIN_MAPS[country]
if country == 'BE' and admin2_code:
return country_map.get(admin2_code, admin1_code or 'XX')
if admin1_code:
return country_map.get(admin1_code, admin1_code)
return 'XX'
return admin1_code if admin1_code else 'XX'
def find_city_in_file(data: Dict) -> Optional[Tuple[str, str]]:
"""Find city name and country from file data."""
country = None
city = None
# Get country from ghcid
ghcid = data.get('ghcid', {})
loc_res = ghcid.get('location_resolution', {})
country = loc_res.get('country_code')
# Check original_entry.locations
if 'original_entry' in data:
locations = data['original_entry'].get('locations', [])
for loc in locations:
if 'city' in loc and loc['city']:
city = loc['city']
if not country and 'country' in loc:
country = loc['country']
break
# Check top-level locations
if not city:
locations = data.get('locations', [])
for loc in locations:
if 'city' in loc and loc['city']:
city = loc['city']
if not country and 'country' in loc:
country = loc['country']
break
if city and country:
return (city, country)
return None
def process_file(filepath: Path, conn: sqlite3.Connection, apply: bool) -> bool:
"""Process a single file with XX region code."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = yaml.safe_load(f)
except Exception as e:
print(f" Error reading {filepath}: {e}")
return False
if not data:
return False
# Check if region is already resolved
ghcid = data.get('ghcid', {})
loc_res = ghcid.get('location_resolution', {})
if loc_res.get('region_code', 'XX') != 'XX':
return False
# Find city name
city_info = find_city_in_file(data)
if not city_info:
return False
city_name, country = city_info
print(f" City: {city_name} ({country})")
# Look up in GeoNames
city_data = lookup_city_region(city_name, country, conn)
if not city_data:
print(f" No GeoNames match for '{city_name}'")
return False
region_code = get_region_code(country, city_data['admin1_code'], city_data.get('admin2_code'))
if region_code == 'XX':
print(f" Could not determine region for admin1={city_data['admin1_code']}")
return False
print(f" Found: {city_data['name']} -> Region {region_code}")
if not apply:
return True
# Update GHCID
current = ghcid.get('ghcid_current', '')
parts = current.split('-')
if len(parts) < 5:
print(f" Invalid GHCID format: {current}")
return False
old_region = parts[1]
if old_region != 'XX':
print(f" Region already set: {old_region}")
return False
parts[1] = region_code
new_ghcid = '-'.join(parts)
# Update data
ghcid['ghcid_current'] = new_ghcid
loc_res['region_code'] = region_code
loc_res['region_name'] = f"{country}-{region_code}"
loc_res['geonames_id'] = city_data['geonames_id']
loc_res['method'] = 'GEONAMES_CITY_LOOKUP'
loc_res['resolution_timestamp'] = datetime.now(timezone.utc).isoformat()
ghcid['location_resolution'] = loc_res
# Add to history
history = ghcid.get('ghcid_history', [])
history.append({
'ghcid': new_ghcid,
'valid_from': datetime.now(timezone.utc).isoformat(),
'reason': f'Region resolved via GeoNames city lookup: XX->{region_code} ({city_data["name"]})'
})
ghcid['ghcid_history'] = history
data['ghcid'] = ghcid
# Calculate new filename
old_name = filepath.name
new_name = old_name.replace(f'{country}-XX-', f'{country}-{region_code}-')
new_path = filepath.parent / new_name
# Write and rename
with open(filepath, 'w', encoding='utf-8') as f:
yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
if new_path != filepath:
filepath.rename(new_path)
print(f" Renamed: {old_name} -> {new_name}")
return True
def main():
import argparse
parser = argparse.ArgumentParser(description='Resolve XX region codes using city names in files')
parser.add_argument('--limit', type=int, default=100, help='Max files to process')
parser.add_argument('--apply', action='store_true', help='Apply changes (default: dry run)')
parser.add_argument('--country', help='Filter by country code')
args = parser.parse_args()
print("=" * 70)
print("REGION RESOLUTION FROM FILE CITY NAMES")
print("=" * 70)
print(f"Mode: {'APPLYING CHANGES' if args.apply else 'DRY RUN'}")
print()
# Connect to GeoNames
if not GEONAMES_DB.exists():
print(f"ERROR: GeoNames database not found: {GEONAMES_DB}")
sys.exit(1)
conn = sqlite3.connect(str(GEONAMES_DB))
# Find XX files with city names
xx_files = []
for f in CUSTODIAN_DIR.glob('*.yaml'):
if '-XX-' in f.name:
if args.country and not f.name.startswith(f'{args.country}-'):
continue
xx_files.append(f)
print(f"Found {len(xx_files)} files with XX region codes")
# Filter to files with city names
files_with_cities = []
for f in xx_files:
try:
with open(f, 'r', encoding='utf-8') as fp:
content = fp.read()
if 'city:' in content:
files_with_cities.append(f)
except:
pass
print(f"Processing {min(len(files_with_cities), args.limit)} files with city names")
print()
resolved = 0
renamed = 0
for f in files_with_cities[:args.limit]:
print(f"Processing {f.name}...")
if process_file(f, conn, args.apply):
resolved += 1
if args.apply:
renamed += 1
conn.close()
print()
print("=" * 70)
print("SUMMARY")
print("=" * 70)
print(f"Files processed: {min(len(files_with_cities), args.limit)}")
print(f"Resolved: {resolved}")
print(f"Renamed: {renamed}")
if __name__ == '__main__':
main()

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#!/usr/bin/env python3
"""
Update GHCID region and city codes using GeoNames reverse geocoding.
For custodian files that have coordinates, this script:
1. Reverse geocodes coordinates to find the nearest GeoNames city
2. Extracts proper admin1_code (region) and city code
3. Updates the GHCID with correct codes
4. Renames the file if GHCID changes
Usage:
python scripts/update_ghcid_with_geonames.py [--dry-run] [--limit N] [--country CODE]
"""
import argparse
import hashlib
import os
import re
import shutil
import sqlite3
import uuid
import yaml
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Tuple
# Paths
PROJECT_ROOT = Path(__file__).parent.parent
CUSTODIAN_DIR = PROJECT_ROOT / "data" / "custodian"
GEONAMES_DB = PROJECT_ROOT / "data" / "reference" / "geonames.db"
REPORTS_DIR = PROJECT_ROOT / "reports"
# GHCID namespace for UUID generation
GHCID_NAMESPACE = uuid.UUID('6ba7b810-9dad-11d1-80b4-00c04fd430c8')
# Country-specific region code mappings (GeoNames admin1_code -> ISO 3166-2)
# This handles cases where GeoNames codes differ from ISO codes
REGION_CODE_MAPPINGS = {
'NL': {
'01': 'DR', # Drenthe
'02': 'FR', # Friesland
'03': 'GE', # Gelderland
'04': 'GR', # Groningen
'05': 'LI', # Limburg
'06': 'NB', # Noord-Brabant
'07': 'NH', # Noord-Holland
'09': 'UT', # Utrecht
'10': 'ZE', # Zeeland
'11': 'ZH', # Zuid-Holland
'15': 'OV', # Overijssel
'16': 'FL', # Flevoland
},
# Japan uses prefecture numbers which are fine as-is (2-digit)
# Most countries can use admin1_code directly
}
# Type code mapping
TYPE_TO_CODE = {
'GALLERY': 'G', 'LIBRARY': 'L', 'ARCHIVE': 'A', 'MUSEUM': 'M',
'OFFICIAL_INSTITUTION': 'O', 'RESEARCH_CENTER': 'R', 'CORPORATION': 'C',
'UNKNOWN': 'U', 'BOTANICAL_ZOO': 'B', 'EDUCATION_PROVIDER': 'E',
'COLLECTING_SOCIETY': 'S', 'FEATURES': 'F', 'INTANGIBLE_HERITAGE_GROUP': 'I',
'MIXED': 'X', 'PERSONAL_COLLECTION': 'P', 'HOLY_SITES': 'H',
'DIGITAL_PLATFORM': 'D', 'NGO': 'N', 'TASTE_SMELL': 'T',
}
def get_geonames_connection() -> sqlite3.Connection:
"""Get connection to GeoNames database."""
return sqlite3.connect(GEONAMES_DB)
def reverse_geocode(lat: float, lon: float, country_code: str, conn: sqlite3.Connection) -> Optional[Dict]:
"""
Find nearest GeoNames city for given coordinates.
Uses simple Euclidean distance (good enough for nearby city matching).
Filters by feature_code to exclude neighborhoods (PPLX).
"""
# Query for nearest city, excluding PPLX (neighborhoods)
cursor = conn.execute("""
SELECT
geonames_id, name, ascii_name, admin1_code, admin1_name,
latitude, longitude, feature_code, population,
((latitude - ?) * (latitude - ?) + (longitude - ?) * (longitude - ?)) as distance_sq
FROM cities
WHERE country_code = ?
AND feature_code IN ('PPL', 'PPLA', 'PPLA2', 'PPLA3', 'PPLA4', 'PPLC', 'PPLS', 'PPLG')
ORDER BY distance_sq
LIMIT 1
""", (lat, lat, lon, lon, country_code))
row = cursor.fetchone()
if row:
return {
'geonames_id': row[0],
'city_name': row[1],
'ascii_name': row[2],
'admin1_code': row[3],
'admin1_name': row[4],
'latitude': row[5],
'longitude': row[6],
'feature_code': row[7],
'population': row[8],
'distance_sq': row[9],
}
return None
def generate_city_code(name: str) -> str:
"""Generate 3-letter city code from name."""
import unicodedata
if not name:
return "XXX"
# Normalize and remove diacritics
normalized = unicodedata.normalize('NFD', name)
ascii_only = ''.join(c for c in normalized if unicodedata.category(c) != 'Mn')
# Keep only alphanumeric
clean = re.sub(r'[^a-zA-Z0-9]', '', ascii_only)
return clean[:3].upper() if clean else "XXX"
def get_region_code(country_code: str, admin1_code: str) -> str:
"""Get 2-letter region code, using mappings if available."""
if not admin1_code:
return "XX"
# Check for country-specific mapping
if country_code in REGION_CODE_MAPPINGS:
mapped = REGION_CODE_MAPPINGS[country_code].get(admin1_code)
if mapped:
return mapped
# Use admin1_code directly (truncate to 2 chars if needed)
return admin1_code[:2].upper()
def generate_ghcid(country_code: str, region_code: str, city_code: str,
institution_type: str, abbreviation: str,
name_suffix: Optional[str] = None) -> str:
"""Generate GHCID string."""
type_code = TYPE_TO_CODE.get(institution_type, 'U')
ghcid = f"{country_code}-{region_code}-{city_code}-{type_code}-{abbreviation}"
if name_suffix:
ghcid = f"{ghcid}-{name_suffix}"
return ghcid
def generate_ghcid_uuid(ghcid: str) -> str:
"""Generate UUID v5 from GHCID."""
return str(uuid.uuid5(GHCID_NAMESPACE, ghcid))
def generate_ghcid_uuid_sha256(ghcid: str) -> str:
"""Generate UUID v8 (SHA-256 based) from GHCID."""
sha256_hash = hashlib.sha256(ghcid.encode()).hexdigest()
return f"{sha256_hash[:8]}-{sha256_hash[8:12]}-8{sha256_hash[13:16]}-{sha256_hash[16:20]}-{sha256_hash[20:32]}"
def generate_ghcid_numeric(ghcid: str) -> int:
"""Generate 64-bit numeric ID from GHCID."""
sha256_hash = hashlib.sha256(ghcid.encode()).digest()
return int.from_bytes(sha256_hash[:8], 'big')
def extract_coordinates(data: Dict) -> Optional[Tuple[float, float]]:
"""Extract latitude/longitude from custodian data."""
# Check original_entry.locations
locations = data.get('original_entry', {}).get('locations', [])
if locations and isinstance(locations, list):
loc = locations[0]
lat = loc.get('latitude')
lon = loc.get('longitude')
if lat is not None and lon is not None:
return (float(lat), float(lon))
# Check top-level locations
locations = data.get('locations', [])
if locations and isinstance(locations, list):
loc = locations[0]
lat = loc.get('latitude')
lon = loc.get('longitude')
if lat is not None and lon is not None:
return (float(lat), float(lon))
# Check google_maps_enrichment
gm = data.get('google_maps_enrichment', {})
lat = gm.get('latitude')
lon = gm.get('longitude')
if lat is not None and lon is not None:
return (float(lat), float(lon))
return None
def extract_country_code(data: Dict) -> str:
"""Extract country code from custodian data."""
# Try ghcid.location_resolution
country = data.get('ghcid', {}).get('location_resolution', {}).get('country_code')
if country and country != 'XX':
return country
# Try original_entry.locations
locations = data.get('original_entry', {}).get('locations', [])
if locations:
country = locations[0].get('country')
if country:
return country
# Try top-level locations
locations = data.get('locations', [])
if locations:
country = locations[0].get('country')
if country:
return country
return 'XX'
def extract_abbreviation_from_ghcid(ghcid: str) -> str:
"""Extract the abbreviation component from a GHCID."""
parts = ghcid.split('-')
if len(parts) >= 5:
return parts[4]
return "UNK"
def extract_name_suffix_from_ghcid(ghcid: str) -> Optional[str]:
"""Extract name suffix from GHCID if present."""
parts = ghcid.split('-')
if len(parts) > 5:
return '-'.join(parts[5:])
return None
def validate_ch_annotator_entity(data: Dict) -> Tuple[bool, str]:
"""
Validate that the entity has a valid CH-Annotator profile for heritage institutions.
Returns (is_valid, entity_subtype).
Valid subtypes for enrichment: GRP.HER.* (heritage institutions)
"""
ch_annotator = data.get('ch_annotator', {})
entity_class = ch_annotator.get('entity_classification', {})
hypernym = entity_class.get('hypernym', '')
subtype = entity_class.get('subtype', '')
# Valid heritage institution subtypes
valid_subtypes = [
'GRP.HER', # Generic heritage institution
'GRP.HER.GAL', # Gallery
'GRP.HER.LIB', # Library
'GRP.HER.ARC', # Archive
'GRP.HER.MUS', # Museum
'GRP.HER.RES', # Research center
'GRP.HER.EDU', # Education provider
'GRP.HER.REL', # Religious heritage site
'GRP.HER.BOT', # Botanical/zoo
'GRP.HER.MIX', # Mixed type
]
# Check if entity has valid heritage subtype
if subtype:
for valid in valid_subtypes:
if subtype.startswith(valid):
return (True, subtype)
# Fallback: check hypernym is GROUP
if hypernym == 'GRP':
# Check institution_type from original_entry
inst_type = data.get('original_entry', {}).get('institution_type', '')
if inst_type in TYPE_TO_CODE:
return (True, f'GRP.HER.{inst_type[:3]}')
# No valid CH-Annotator profile - but still allow processing if has institution_type
inst_type = data.get('original_entry', {}).get('institution_type', '')
if inst_type and inst_type != 'UNKNOWN':
return (True, f'INFERRED.{inst_type}')
return (False, '')
def process_file(filepath: Path, conn: sqlite3.Connection, dry_run: bool = False,
require_ch_annotator: bool = False) -> Dict:
"""
Process a single custodian file.
Args:
filepath: Path to custodian YAML file
conn: GeoNames database connection
dry_run: If True, don't write changes
require_ch_annotator: If True, skip files without valid CH-Annotator entity profile
Returns dict with processing results.
"""
result = {
'file': filepath.name,
'status': 'skipped',
'old_ghcid': None,
'new_ghcid': None,
'geonames_match': None,
'entity_profile': None,
'error': None,
}
try:
with open(filepath, 'r') as f:
data = yaml.safe_load(f)
if not data:
result['status'] = 'error'
result['error'] = 'Empty file'
return result
# Validate CH-Annotator entity profile
is_valid_entity, entity_subtype = validate_ch_annotator_entity(data)
result['entity_profile'] = entity_subtype
if require_ch_annotator and not is_valid_entity:
result['status'] = 'invalid_entity_profile'
result['error'] = 'No valid CH-Annotator GRP.HER.* entity profile'
return result
# Get current GHCID
current_ghcid = data.get('ghcid', {}).get('ghcid_current')
if not current_ghcid:
result['status'] = 'error'
result['error'] = 'No GHCID found'
return result
result['old_ghcid'] = current_ghcid
# Check if already has proper GeoNames resolution
resolution = data.get('ghcid', {}).get('location_resolution', {})
if resolution.get('method') == 'REVERSE_GEOCODE' and resolution.get('geonames_id'):
result['status'] = 'already_geocoded'
return result
# Extract coordinates
coords = extract_coordinates(data)
if not coords:
result['status'] = 'no_coordinates'
return result
lat, lon = coords
country_code = extract_country_code(data)
if country_code == 'XX':
result['status'] = 'no_country'
return result
# Reverse geocode
geo_result = reverse_geocode(lat, lon, country_code, conn)
if not geo_result:
result['status'] = 'geocode_failed'
return result
result['geonames_match'] = {
'city': geo_result['city_name'],
'admin1': geo_result['admin1_name'],
'geonames_id': geo_result['geonames_id'],
}
# Generate new codes
new_region_code = get_region_code(country_code, geo_result['admin1_code'])
new_city_code = generate_city_code(geo_result['ascii_name'])
# Extract existing abbreviation and name suffix
abbreviation = extract_abbreviation_from_ghcid(current_ghcid)
name_suffix = extract_name_suffix_from_ghcid(current_ghcid)
# Get institution type
inst_type = data.get('original_entry', {}).get('institution_type', 'UNKNOWN')
# Generate new GHCID
new_ghcid = generate_ghcid(country_code, new_region_code, new_city_code,
inst_type, abbreviation, name_suffix)
result['new_ghcid'] = new_ghcid
# Check if GHCID changed
if new_ghcid == current_ghcid:
result['status'] = 'unchanged'
return result
if dry_run:
result['status'] = 'would_update'
return result
# Update the data
timestamp = datetime.now(timezone.utc).isoformat()
# Update GHCID section
data['ghcid']['ghcid_current'] = new_ghcid
data['ghcid']['ghcid_uuid'] = generate_ghcid_uuid(new_ghcid)
data['ghcid']['ghcid_uuid_sha256'] = generate_ghcid_uuid_sha256(new_ghcid)
data['ghcid']['ghcid_numeric'] = generate_ghcid_numeric(new_ghcid)
# Update location_resolution
data['ghcid']['location_resolution'] = {
'method': 'REVERSE_GEOCODE',
'country_code': country_code,
'region_code': new_region_code,
'region_name': geo_result['admin1_name'],
'city_code': new_city_code,
'city_name': geo_result['city_name'],
'geonames_id': geo_result['geonames_id'],
'feature_code': geo_result['feature_code'],
'resolution_date': timestamp,
}
# Add to GHCID history
history = data['ghcid'].get('ghcid_history', [])
# Mark old GHCID as superseded
if history:
history[0]['valid_to'] = timestamp
history[0]['superseded_by'] = new_ghcid
# Add new GHCID entry
history.insert(0, {
'ghcid': new_ghcid,
'ghcid_numeric': generate_ghcid_numeric(new_ghcid),
'valid_from': timestamp,
'reason': f'Updated via GeoNames reverse geocoding (matched {geo_result["city_name"]}, geonames:{geo_result["geonames_id"]})',
})
data['ghcid']['ghcid_history'] = history
# Update identifiers
for ident in data.get('identifiers', []):
if ident.get('identifier_scheme') == 'GHCID':
ident['identifier_value'] = new_ghcid
elif ident.get('identifier_scheme') == 'GHCID_UUID':
ident['identifier_value'] = generate_ghcid_uuid(new_ghcid)
elif ident.get('identifier_scheme') == 'GHCID_UUID_SHA256':
ident['identifier_value'] = generate_ghcid_uuid_sha256(new_ghcid)
elif ident.get('identifier_scheme') == 'GHCID_NUMERIC':
ident['identifier_value'] = str(generate_ghcid_numeric(new_ghcid))
# Write updated data
new_filename = f"{new_ghcid}.yaml"
new_filepath = CUSTODIAN_DIR / new_filename
with open(new_filepath, 'w') as f:
yaml.dump(data, f, default_flow_style=False, allow_unicode=True, sort_keys=False)
# Remove old file if different
if filepath != new_filepath:
os.remove(filepath)
result['status'] = 'updated'
return result
except Exception as e:
result['status'] = 'error'
result['error'] = str(e)
return result
def main():
parser = argparse.ArgumentParser(description='Update GHCID with GeoNames data')
parser.add_argument('--dry-run', action='store_true', help='Show changes without applying')
parser.add_argument('--limit', type=int, help='Limit number of files to process')
parser.add_argument('--country', type=str, help='Only process files for specific country')
parser.add_argument('--verbose', action='store_true', help='Show detailed output')
parser.add_argument('--require-ch-annotator', action='store_true',
help='Only process files with valid CH-Annotator GRP.HER.* entity profile')
args = parser.parse_args()
print("=" * 60)
print("Update GHCID with GeoNames Reverse Geocoding")
print("=" * 60)
print()
if args.dry_run:
print("*** DRY RUN - No changes will be made ***")
print()
if args.require_ch_annotator:
print("*** Requiring CH-Annotator entity profile (GRP.HER.*) ***")
print()
# Connect to GeoNames
if not GEONAMES_DB.exists():
print(f"Error: GeoNames database not found at {GEONAMES_DB}")
return
conn = get_geonames_connection()
print(f"Connected to GeoNames database")
# Get list of files
files = list(CUSTODIAN_DIR.glob("*.yaml"))
print(f"Found {len(files)} custodian files")
# Filter by country if specified
if args.country:
files = [f for f in files if f.name.startswith(f"{args.country}-")]
print(f"Filtered to {len(files)} files for country {args.country}")
# Apply limit
if args.limit:
files = files[:args.limit]
print(f"Limited to {args.limit} files")
print()
# Process files
stats = {
'updated': 0,
'unchanged': 0,
'already_geocoded': 0,
'no_coordinates': 0,
'no_country': 0,
'geocode_failed': 0,
'would_update': 0,
'invalid_entity_profile': 0,
'error': 0,
}
updates = []
entity_profiles_seen = {}
for i, filepath in enumerate(files):
if (i + 1) % 500 == 0:
print(f"Progress: {i + 1}/{len(files)}")
result = process_file(filepath, conn, args.dry_run, args.require_ch_annotator)
stats[result['status']] = stats.get(result['status'], 0) + 1
# Track entity profiles
profile = result.get('entity_profile', 'NONE')
entity_profiles_seen[profile] = entity_profiles_seen.get(profile, 0) + 1
if result['status'] in ('updated', 'would_update'):
updates.append(result)
if args.verbose:
print(f" {result['old_ghcid']} -> {result['new_ghcid']}")
print(f" Matched: {result['geonames_match']}")
print(f" Entity: {result.get('entity_profile', 'N/A')}")
conn.close()
# Print summary
print()
print("=" * 60)
print("SUMMARY")
print("=" * 60)
print(f"Total files processed: {len(files)}")
print()
print("Results:")
print(f" Updated: {stats.get('updated', 0)}")
print(f" Would update (dry-run): {stats.get('would_update', 0)}")
print(f" Unchanged: {stats.get('unchanged', 0)}")
print(f" Already geocoded: {stats.get('already_geocoded', 0)}")
print(f" No coordinates: {stats.get('no_coordinates', 0)}")
print(f" No country code: {stats.get('no_country', 0)}")
print(f" Geocode failed: {stats.get('geocode_failed', 0)}")
print(f" Invalid entity profile: {stats.get('invalid_entity_profile', 0)}")
print(f" Errors: {stats.get('error', 0)}")
# Print entity profile breakdown
if entity_profiles_seen:
print()
print("CH-Annotator Entity Profiles:")
for profile, count in sorted(entity_profiles_seen.items(), key=lambda x: -x[1])[:10]:
print(f" {profile}: {count}")
# Save report
timestamp = datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')
report_file = REPORTS_DIR / f"GEONAMES_UPDATE_REPORT_{timestamp}.md"
with open(report_file, 'w') as f:
f.write("# GeoNames GHCID Update Report\n\n")
f.write(f"Generated: {datetime.now(timezone.utc).isoformat()}\n\n")
f.write("## Summary\n\n")
f.write(f"| Metric | Count |\n")
f.write(f"|--------|-------|\n")
f.write(f"| Files processed | {len(files)} |\n")
f.write(f"| Updated | {stats.get('updated', 0)} |\n")
f.write(f"| Would update | {stats.get('would_update', 0)} |\n")
f.write(f"| Unchanged | {stats.get('unchanged', 0)} |\n")
f.write(f"| Already geocoded | {stats.get('already_geocoded', 0)} |\n")
f.write(f"| No coordinates | {stats.get('no_coordinates', 0)} |\n")
f.write(f"| Geocode failed | {stats.get('geocode_failed', 0)} |\n")
f.write(f"| Invalid entity profile | {stats.get('invalid_entity_profile', 0)} |\n")
f.write(f"| Errors | {stats.get('error', 0)} |\n")
# Entity profile breakdown
if entity_profiles_seen:
f.write("\n## CH-Annotator Entity Profiles\n\n")
f.write("| Entity Profile | Count |\n")
f.write("|---------------|-------|\n")
for profile, count in sorted(entity_profiles_seen.items(), key=lambda x: -x[1]):
f.write(f"| {profile} | {count} |\n")
if updates:
f.write("\n## Updates\n\n")
f.write("| Old GHCID | New GHCID | Matched City | Entity Profile |\n")
f.write("|-----------|-----------|-------------|----------------|\n")
for u in updates[:100]: # Limit to first 100
city = u.get('geonames_match', {}).get('city', 'N/A')
profile = u.get('entity_profile', 'N/A')
f.write(f"| {u['old_ghcid']} | {u['new_ghcid']} | {city} | {profile} |\n")
if len(updates) > 100:
f.write(f"\n*... and {len(updates) - 100} more updates*\n")
print()
print(f"Report saved to: {report_file}")
if __name__ == '__main__':
main()