| \ |
| |
| from __future__ import annotations |
|
|
| import argparse |
| import json |
| from pathlib import Path |
| from typing import Any, Dict, Iterable, Tuple |
|
|
| REQUIRED_FIELDS = {"id","created","topic","task_type","difficulty","instruction","input","output","metadata","hash"} |
|
|
| def iter_jsonl(path: Path, max_rows: int | None) -> Iterable[Dict[str, Any]]: |
| n = 0 |
| with path.open("r", encoding="utf-8") as f: |
| for line in f: |
| line = line.strip() |
| if not line: |
| continue |
| try: |
| obj = json.loads(line) |
| except Exception: |
| yield {"__parse_error__": True} |
| n += 1 |
| if max_rows and n >= max_rows: |
| return |
| continue |
| yield obj |
| n += 1 |
| if max_rows and n >= max_rows: |
| return |
|
|
| def is_tool_trace_valid(out: Any) -> bool: |
| |
| if isinstance(out, str): |
| s = out.strip() |
| if not s: |
| return False |
| try: |
| out = json.loads(s) |
| except Exception: |
| return False |
| if not isinstance(out, list) or len(out) == 0: |
| return False |
| for step in out: |
| if not isinstance(step, dict): |
| return False |
| if "tool" not in step or "args" not in step: |
| return False |
| if not isinstance(step["tool"], str) or not isinstance(step["args"], dict): |
| return False |
| return True |
|
|
| def is_patch_diff_valid(out: Any) -> bool: |
| if not isinstance(out, str): |
| return False |
| s = out.strip() |
| if "```diff" in s: |
| |
| return ("-" in s and "+" in s) |
| |
| return s.startswith("-") or s.startswith("diff") or ("- " in s and "+ " in s) |
|
|
| def is_self_grade_valid(out: Any) -> bool: |
| if isinstance(out, str): |
| try: |
| out = json.loads(out) |
| except Exception: |
| return False |
| if not isinstance(out, dict): |
| return False |
| score = out.get("score") |
| conf = out.get("confidence") |
| notes = out.get("notes") |
| if not (isinstance(score, int) and 0 <= score <= 10): |
| return False |
| if not (isinstance(conf, (int, float)) and 0.0 <= float(conf) <= 1.0): |
| return False |
| if not (isinstance(notes, str) and len(notes) >= 3): |
| return False |
| return True |
|
|
| def main() -> int: |
| ap = argparse.ArgumentParser(description="Genesis AI Code Bench (Within Us AI)") |
| ap.add_argument("--jsonl", required=True, help="Path to JSONL file") |
| ap.add_argument("--max_rows", type=int, default=5000) |
| args = ap.parse_args() |
|
|
| path = Path(args.jsonl) |
| total = 0 |
| format_valid = 0 |
| required_ok = 0 |
| tool_ok = tool_total = 0 |
| diff_ok = diff_total = 0 |
| grade_ok = grade_total = 0 |
| gov_ok = 0 |
| econ_ok = 0 |
| hashes = set() |
| hash_total = 0 |
|
|
| for obj in iter_jsonl(path, args.max_rows): |
| total += 1 |
| if obj.get("__parse_error__"): |
| continue |
| format_valid += 1 |
|
|
| keys = set(obj.keys()) |
| if REQUIRED_FIELDS.issubset(keys): |
| required_ok += 1 |
|
|
| |
| h = obj.get("hash") |
| if isinstance(h, str) and h: |
| hash_total += 1 |
| hashes.add(h) |
|
|
| |
| md = obj.get("metadata", {}) |
| if isinstance(md, dict): |
| if md.get("audit_required") is True: |
| gov_ok += 1 |
| if isinstance(md.get("cost_budget"), int) and isinstance(md.get("latency_ms_target"), int): |
| econ_ok += 1 |
|
|
| |
| task = obj.get("task_type") |
| out = obj.get("output") |
| if task == "tool_trace": |
| tool_total += 1 |
| if is_tool_trace_valid(out): |
| tool_ok += 1 |
| elif task == "patch_diff": |
| diff_total += 1 |
| if is_patch_diff_valid(out): |
| diff_ok += 1 |
| elif task == "self_grade": |
| grade_total += 1 |
| if is_self_grade_valid(out): |
| grade_ok += 1 |
|
|
| def rate(num: int, den: int) -> float: |
| return 0.0 if den == 0 else round(num / den, 4) |
|
|
| report = { |
| "rows_scanned": total, |
| "format_valid_rate": rate(format_valid, total), |
| "required_fields_rate": rate(required_ok, total), |
| "tool_trace_valid_rate": rate(tool_ok, tool_total), |
| "patch_diff_valid_rate": rate(diff_ok, diff_total), |
| "self_grade_valid_rate": rate(grade_ok, grade_total), |
| "governance_present_rate": rate(gov_ok, total), |
| "economics_present_rate": rate(econ_ok, total), |
| "uniqueness_rate": rate(len(hashes), hash_total), |
| } |
|
|
| print(json.dumps(report, indent=2)) |
| return 0 |
|
|
| if __name__ == "__main__": |
| raise SystemExit(main()) |
|
|