Datasets:
File size: 4,928 Bytes
8cff660 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 |
\
#!/usr/bin/env python3
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:
# Accept either a parsed list OR a JSON string representing a list
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:
# fenced diff
return ("-" in s and "+" in s)
# also allow plain diff-like strings
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
# hash / uniqueness
h = obj.get("hash")
if isinstance(h, str) and h:
hash_total += 1
hashes.add(h)
# governance + economics (metadata)
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-specific validity
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())
|