#!/usr/bin/env python3
"""Random-wrong sanity check: a deliberately wrong deterministic reply should score 0."""
import json
import sys
from pathlib import Path

ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT / "environment" / "src"))
from binary_reasoning_v1.grading import _answer_symbol, grade_item, needs_judge, norm_symbol  # noqa: E402


def resolve_path():
    if len(sys.argv) > 1:
        return Path(sys.argv[1])
    for p in (ROOT / "sample_free.jsonl", ROOT / "environment/src/binary_reasoning_v1/items.jsonl"):
        if p.exists():
            return p
    raise SystemExit("no sample JSONL found; pass one as argv[1]")


def load_rows(path):
    rows = []
    for line in path.read_text(encoding="utf-8").splitlines():
        if line.strip():
            rows.append(json.loads(line))
    return rows


def parse_json_answer(ans):
    if isinstance(ans, dict):
        return ans
    if isinstance(ans, str):
        try:
            obj = json.loads(ans)
            if isinstance(obj, dict):
                return obj
        except Exception:
            pass
    return {}


def mutate_token(s):
    s = str(s)
    if not s:
        return "RELAB_WRONG"
    mid = len(s) // 2
    return f"{s[:mid]}_RELAB_WRONG_{s[mid:]}"


def wrong_reply(row):
    fam = row.get("family", "")
    ans = row.get("answer")
    if fam == "func_id_mc" and isinstance(ans, dict):
        opts = ans.get("options", [])
        correct = norm_symbol(ans.get("correct", ""))
        for i, opt in enumerate(opts[:4]):
            if norm_symbol(opt) != correct:
                return "ABCD"[i]
        return "RELAB_WRONG"
    if fam == "toolchain_fp" and isinstance(ans, dict):
        parts = [mutate_token(s) for s in ans.get("toolchain_strings", []) if str(s)]
        return "\n".join(parts) if parts else "RELAB_WRONG"
    if fam == "library_ident":
        ans_str = str(_answer_symbol(ans) or ans or "")
        toks = [t for t in ans_str.split() if len(t) >= 2]
        return " ".join(mutate_token(t) for t in toks) if toks else "RELAB_WRONG"
    if fam == "crossarch_equivalence":
        obj = parse_json_answer(ans)
        if bool(obj.get("same")):
            return "Not the same."
        return "Same function: RELAB_WRONG"
    sym = _answer_symbol(ans) or ans or ""
    if row.get("family") == "agentic_flag_hunt":
        return mutate_token(sym)
    return f"{sym}_RELAB_WRONG"


def main():
    path = resolve_path()
    rows = load_rows(path)
    passed = failed = skipped = 0
    fails = []
    for row in rows:
        fam = row.get("family", "")
        ans = row.get("answer")
        if needs_judge(fam, ans):
            skipped += 1
            continue
        score = grade_item(fam, wrong_reply(row), ans)
        if score == 0.0:
            passed += 1
        else:
            failed += 1
            fails.append((row.get("id"), fam, score))
    print(f"file={path}")
    print(f"summary: random_wrong pass={passed}/{passed + failed} fail={failed} skipped_judge={skipped}")
    for f in fails[:10]:
        print("FAIL", *f)
    return 0 if failed == 0 else 1


if __name__ == "__main__":
    raise SystemExit(main())