#!/usr/bin/env python3
"""
Merge Brazil batch 8 enriched institutions back into unified global dataset.
This script merges the 2 missing Wikidata enrichments from batch 8.
"""

import yaml
from datetime import datetime, timezone

def merge_brazil_batch8():
    print("=" * 80)
    print("🔀 Merging Brazil batch 8 enriched data into unified dataset")
    print("=" * 80)
    
    # Load unified dataset
    print("\n📂 Loading unified dataset...")
    with open('data/instances/all/globalglam-20251111.yaml', 'r', encoding='utf-8') as f:
        all_institutions = yaml.safe_load(f)
    print(f"   ✅ Loaded {len(all_institutions)} institutions")
    
    # Load enriched Brazil batch 8 data
    print("\n📂 Loading Brazil batch 8 enriched data...")
    with open('data/instances/brazil/brazilian_institutions_batch8_enriched.yaml', 'r', encoding='utf-8') as f:
        br_batch8 = yaml.safe_load(f)
    print(f"   ✅ Loaded {len(br_batch8)} enriched Brazil institutions")
    
    # Create lookup by ID URL for quick matching
    br_by_id = {inst['id']: inst for inst in br_batch8}
    
    # Merge enriched data
    print("\n🔄 Merging enriched data...")
    merged_count = 0
    updated_count = 0
    
    for i, inst in enumerate(all_institutions):
        inst_id = inst.get('id')
        if inst_id in br_by_id:
            enriched_inst = br_by_id[inst_id]
            
            # Check if this institution has Wikidata in batch 8 but not in master
            has_wd_enriched = any(
                idf.get('identifier_scheme') == 'Wikidata' 
                for idf in enriched_inst.get('identifiers', [])
            )
            has_wd_original = any(
                idf.get('identifier_scheme') == 'Wikidata' 
                for idf in inst.get('identifiers', [])
            )
            
            if has_wd_enriched and not has_wd_original:
                # This is a new enrichment - merge it
                enriched_copy = enriched_inst.copy()
                
                # Preserve GHCID fields from original if they exist
                if 'ghcid' in inst:
                    enriched_copy['ghcid'] = inst['ghcid']
                if 'ghcid_uuid' in inst:
                    enriched_copy['ghcid_uuid'] = inst['ghcid_uuid']
                if 'ghcid_uuid_sha256' in inst:
                    enriched_copy['ghcid_uuid_sha256'] = inst['ghcid_uuid_sha256']
                if 'ghcid_numeric' in inst:
                    enriched_copy['ghcid_numeric'] = inst['ghcid_numeric']
                
                # Replace with enriched version
                all_institutions[i] = enriched_copy
                merged_count += 1
                
                # Extract Q-number for display
                q_num = next(
                    (idf.get('identifier_value') for idf in enriched_copy.get('identifiers', [])
                     if idf.get('identifier_scheme') == 'Wikidata'),
                    'N/A'
                )
                print(f"   ✅ Merged: {inst['name']} -> {q_num}")
            elif has_wd_enriched and has_wd_original:
                # Already has Wikidata, might have other updates
                updated_count += 1
    
    print(f"\n   📊 New Wikidata enrichments merged: {merged_count}")
    print(f"   📊 Already enriched (skipped): {updated_count}")
    
    # Save unified dataset with timestamp
    timestamp = datetime.now(timezone.utc).strftime('%Y%m%d')
    output_path = f'data/instances/all/globalglam-{timestamp}.yaml'
    
    print(f"\n💾 Saving updated unified dataset to {output_path}...")
    with open(output_path, 'w', encoding='utf-8') as f:
        yaml.dump(all_institutions, f, allow_unicode=True, sort_keys=False, default_flow_style=False)
    
    print("   ✅ Saved")
    
    # Verify Brazil coverage
    br_institutions = [
        inst for inst in all_institutions 
        if any(loc.get('country') == 'BR' for loc in inst.get('locations', []))
    ]
    
    br_with_wikidata = sum(
        1 for inst in br_institutions 
        if any(i.get('identifier_scheme') == 'Wikidata' for i in inst.get('identifiers', []))
    )
    
    print("\n" + "=" * 80)
    print("📊 VERIFICATION - Brazil Institutions in Unified Dataset")
    print("=" * 80)
    print(f"Total Brazil institutions:   {len(br_institutions)}")
    print(f"With Wikidata identifiers:   {br_with_wikidata}")
    print(f"Coverage:                    {br_with_wikidata/len(br_institutions)*100:.1f}%")
    print(f"Progress:                    {br_with_wikidata}/{len(br_institutions)}")
    
    if merged_count > 0:
        print(f"\n✅ SUCCESS: {merged_count} new Wikidata enrichments merged!")
        print(f"🇧🇷 Brazil coverage improved: 7 → {br_with_wikidata} institutions")
    else:
        print("\n⚠️  No new enrichments to merge (already up to date)")
    
    print("\n")

if __name__ == '__main__':
    merge_brazil_batch8()