"""Whitelist-only export of descriptive model/runtime trial metrics."""
import json
import math
from pathlib import Path
import re
import sys

NUMBERS=['elapsed_s','initial_input_tokens','initial_ttft_s','tool_calls','tool_errors','visible_stream_tps','visible_cycle_tps']
FLAGS=['completed','gate_pass','full_suite_pass','repair_verified']


def public_run(source):
    identifier=source.get('run_id')
    if not isinstance(identifier,str) or not re.fullmatch(r'[A-Za-z0-9_-]{1,100}',identifier):
        raise ValueError('Invalid run identifier')
    out={'run_id':identifier}
    for key in NUMBERS:
        value=source.get(key)
        if value is not None and (type(value) not in (int,float) or not math.isfinite(value)):
            raise ValueError('Invalid numeric metric')
        out[key]=value
    for key in FLAGS:
        value=source.get(key)
        if value is not None and type(value) is not bool:raise ValueError('Invalid boolean metric')
        out[key]=value
    return out


def main():
    source=Path(sys.argv[1]);dest=Path(sys.argv[2]);raw=json.loads(source.read_text())
    result={'schema_version':1,'scope':'Single-run-per-configuration descriptive task measurements; failed/timeout records retained. No private source/transcript is exported.',
            'prompt_sha256':raw['prompt_sha256'],'repository_revision':raw['repository_revision'],
            'candidate_sampling':raw['candidate_sampling'],
            'baseline_sampling_caveat':raw['baseline_sampling_caveat'],
            'actual256k_candidate_proof':False,'production_replaced':False,
            'runs':[public_run(row) for row in raw['runs']]}
    dest.parent.mkdir(parents=True,exist_ok=True);dest.write_text(json.dumps(result,indent=2)+'\n')


if __name__=='__main__':main()