#!/usr/bin/env python """Batch download misfolding target PDB structures for offline use. Downloads all conformations from the misfolding knowledge base. Stores PDB files in data/misfolding_targets/. Generates a target_manifest.json for the pipeline. Usage: python fetch_targets.py # download all targets python fetch_targets.py --dry-run # check what would be downloaded python fetch_targets.py --max 3 # max 3 conformations per target """ import sys import os import io import json import time import argparse from pathlib import Path if sys.platform == 'win32': sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8') PROJECT_DIR = Path(__file__).parent.parent sys.path.insert(0, str(PROJECT_DIR)) from misfolding_knowledge_base import MISFOLDING_TARGETS from misfolding_data_loader import prepare_misfolding_target, DATA_DIR def main(): parser = argparse.ArgumentParser( description='Download misfolding disease target PDB structures' ) parser.add_argument('--dry-run', action='store_true', help='Check what would be downloaded without downloading') parser.add_argument('--max', type=int, default=3, dest='max_confs', help='Max conformations per target (default: 3)') parser.add_argument('--force', action='store_true', help='Force re-download even if cached') args = parser.parse_args() total = 0 success = 0 failed = [] print('=' * 70) print('Misfolding Disease Target PDB Downloader') print(f'Targets: {len(MISFOLDING_TARGETS)}') print(f'Max conformations/target: {args.max_confs}') print(f'Output dir: {DATA_DIR}') if args.dry_run: print('MODE: DRY RUN (no downloads)') print('=' * 70) manifest = {} for disease_key, target in sorted(MISFOLDING_TARGETS.items()): print(f'\n{"─" * 60}') print(f'[{disease_key}]') print(f' Disease: {target["disease_cn"]}') print(f' Protein: {target["protein"]} ({target["gene"]})') confs = target.get('conformations', {}) conf_keys = list(confs.keys())[:args.max_confs] if not confs: print(f' ⚠ No conformations defined — skipping') continue manifest[disease_key] = { 'disease_cn': target['disease_cn'], 'protein': target['protein'], 'gene': target['gene'], 'idp_flag': target.get('idp_flag', False), 'conformations': {}, } for conf_key in conf_keys: conf = confs[conf_key] total += 1 pdb_id = conf['pdb_id'] print(f' [{conf_key}] PDB: {pdb_id} ({conf.get("type", "?")})') if args.dry_run: print(f' → Would download from RCSB') manifest[disease_key]['conformations'][conf_key] = { 'pdb_id': pdb_id, 'status': 'dry_run' } success += 1 continue if args.force: # Clear cache entry import misfolding_data_loader cache = misfolding_data_loader._load_cache() cache_key = f'{disease_key}_{conf_key}' if cache_key in cache: del cache[cache_key] misfolding_data_loader._save_cache(cache) print(f' (forced re-download)') result = prepare_misfolding_target(disease_key, target, conf_key) if result['success']: print(f' ✓ Downloaded → {result["pdb_path"]}') print(f' Chain: {result["chain_id"]} | Resolution: {result["resolution"]}') if result['idp_warning']: print(f' ⚠ IDP warning: {result["idp_warning"][:80]}...') success += 1 manifest[disease_key]['conformations'][conf_key] = { 'pdb_id': pdb_id, 'pdb_path': result['pdb_path'], 'chain_id': result['chain_id'], 'resolution': result['resolution'], 'status': 'ready', } else: print(f' ✗ Failed: {result["error"]}') failed.append(f'{disease_key}/{conf_key}') manifest[disease_key]['conformations'][conf_key] = { 'pdb_id': pdb_id, 'status': 'failed', 'error': result['error'], } if not args.dry_run: time.sleep(0.4) # Save manifest manifest_path = DATA_DIR / 'target_manifest.json' with open(manifest_path, 'w', encoding='utf-8') as f: json.dump(manifest, f, indent=2, ensure_ascii=False) # Summary print(f'\n{"=" * 70}') print(f'SUMMARY') print(f' Total conformations: {total}') print(f' Success: {success}/{total}') if failed: print(f' Failed ({len(failed)}):') for f in failed: print(f' - {f}') print(f' Manifest: {manifest_path}') print(f'{"=" * 70}') return 0 if not failed else 1 if __name__ == '__main__': sys.exit(main())