Function _pick_representative

harness/cli.py:1080–1104

Pick the best result.json from a dedup group for the report agent. Prefer passed-grade > rejected, then highest grade score, then smallest PoC (cleaner to analyze). Returns (result_path, result_dict, crash_dict). Unreadable entries are skipped; ValueError if nothing is readable.

(entries: list[tuple[Path, str, dict]])

def _pick_representative(entries: list[tuple[Path, str, dict]]) -> tuple[Path, dict, dict]:
    """Pick the best result.json from a dedup group for the report agent.

    Prefer passed-grade > rejected, then highest grade score, then smallest PoC
    (cleaner to analyze). Returns (result_path, result_dict, crash_dict).
    Unreadable entries are skipped; ValueError if nothing is readable.
    """
    candidates: list[tuple[tuple[int, float, int, str], Path, dict, dict]] = []
    for path, status, _reason in entries:
        try:
            r = json.loads(path.read_text())
        except (OSError, json.JSONDecodeError):
            continue
        crash = r.get("crash")
        if not crash:
            continue
        score = (r.get("verdict") or {}).get("score") or 0.0
        poc_len = len(crash.get("poc_bytes") or "")
        key = (_STATUS_ORDER.get(status, 2), -score, poc_len, str(path))
        candidates.append((key, path, r, crash))

    if not candidates:
        raise ValueError("no readable result.json in group")
    _k, path, result, crash = min(candidates, key=lambda c: c[0])
    return path, result, crash


async def _report_one(