| """Apply verified 1950-2026 combined PATSTAT IPC/CPC downloads to blank final-master fields.""" |
| import csv,gzip,json,os |
| from collections import defaultdict,Counter |
| from pathlib import Path |
| csv.field_size_limit(100_000_000) |
| BASE=Path('/Users/deep1003/data3/webofscience_ai_global_export/bibtex/ai_policy_organized_20260619/patstat') |
| RAW=BASE/'online_sql_exports/patstat_2026_spring_ai_expanded_v2_full_fields' |
| OUT=BASE/'final_master_20260712';FINAL=OUT/'patstat_ai_complete_master_legacy_priority_20260712.csv.gz';TMP=OUT/'_ipc_cpc_backfill.tmp.csv.gz' |
| vals=defaultdict(lambda:{'ipc':[],'cpc':[]}) |
| def add(a,k,v): |
| v=(v or '').strip() |
| if v and v not in vals[a][k]:vals[a][k].append(v) |
| for p in sorted(RAW.glob('patstat_ai_classification_*_rows_*.csv')): |
| with p.open(encoding='utf-8-sig',newline='') as f: |
| for r in csv.DictReader(f,delimiter=';'): |
| for key,col in [('ipc','all_ipc_codes'),('cpc','all_cpc_codes')]: |
| for code in (r.get(col,'') or '').split(';'):add(r.get('app_id',''),key,code) |
| filled=Counter();rows=0 |
| with gzip.open(FINAL,'rt',encoding='utf-8',newline='') as src,gzip.open(TMP,'wt',encoding='utf-8',newline='') as dst: |
| rd=csv.DictReader(src);w=csv.DictWriter(dst,fieldnames=rd.fieldnames);w.writeheader() |
| for r in rd: |
| rows+=1;x=vals.get(r['app_id']) |
| if x: |
| if not (r.get('all_ipc_codes')or'').strip() and x['ipc']:r['all_ipc_codes']='; '.join(x['ipc']);r['ipc_count']=str(len(x['ipc']));filled['ipc']+=1 |
| if not (r.get('all_cpc_codes')or'').strip() and x['cpc']:r['all_cpc_codes']='; '.join(x['cpc']);r['cpc_count']=str(len(x['cpc']));filled['cpc']+=1 |
| w.writerow(r) |
| os.replace(TMP,FINAL) |
| report={'state':'applied','years':[1950,2026],'rows':rows,'download_app_ids':len(vals),'filled_blank_rows':dict(filled),'rule':'existing nonblank values preserved; only blanks filled'} |
| (OUT/'ipc_cpc_backfill_1950_2026_report.json').write_text(json.dumps(report,indent=2),encoding='utf-8') |
| print(json.dumps(report,indent=2)) |
|
|
