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