KCS learning loop: v0 synthetic-prior release, outcome capture, retraining, season replay
48dbbe2 verified | """Explicit research yield/credit interface. Production-valid credit outputs remain null.""" | |
| from pathlib import Path | |
| import argparse | |
| import json | |
| from model_core import assess | |
| if __name__=='__main__': | |
| parser=argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument('--input',type=Path,required=True) | |
| parser.add_argument('--output',type=Path) | |
| parser.add_argument('--synthetic-credit-research',action='store_true') | |
| args=parser.parse_args() | |
| payload=json.loads(args.input.read_text(encoding='utf-8')) | |
| try: | |
| result=assess(payload.get('snapshot',payload),payload.get('finance'), | |
| enable_synthetic_credit=args.synthetic_credit_research) | |
| except (ValueError,FileNotFoundError) as exc: | |
| parser.exit(2,str(exc)+'\n') | |
| text=json.dumps(result,indent=2,allow_nan=False) | |
| if args.output: | |
| args.output.write_text(text,encoding='utf-8') | |
| print(text) | |