File size: 3,875 Bytes
7415d8c | 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 | #!/usr/bin/env python3
from __future__ import annotations
import csv
import gzip
import hashlib
import json
import re
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for block in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(block)
return digest.hexdigest()
errors: list[str] = []
tasks = list(
csv.DictReader(
(ROOT / "task_pool/TASK_INVENTORY_47.csv").open(encoding="utf-8-sig")
)
)
runs = list(
csv.DictReader(
(ROOT / "trajectories/TRAJECTORY_INDEX.csv").open(encoding="utf-8")
)
)
project_ids = {row["project_id"] for row in tasks}
task_ids = {row["task_id"] for row in runs}
settings = {(row["base_model"], row["agent"]) for row in runs}
if len(tasks) != 47 or len(project_ids) != 47:
errors.append("task inventory is not 47 unique projects")
if len(runs) != 423 or len(task_ids) != 423:
errors.append("trajectory index is not 423 unique assignments")
if len(settings) != 9:
errors.append("trajectory index is not nine unique model-agent settings")
if {row["project"] for row in runs} != project_ids:
errors.append("trajectory projects do not match the task inventory")
strong_patterns = {
"local_path": re.compile(r"/Users/ssp|/lustre/prod_glm_volumes"),
"api_key": re.compile(r"(?<![A-Za-z0-9])sk-(?:ant-)?[A-Za-z0-9_-]{12,}"),
"service_token": re.compile(
r"(?<![A-Za-z0-9])(?:ghp_[A-Za-z0-9]{20,}|"
r"github_pat_[A-Za-z0-9_]{20,}|glpat-[A-Za-z0-9_-]{20,}|"
r"hf_[A-Za-z0-9]{30,})"
),
"authorization": re.compile(
r"(?i)authorization\s*[:=]\s*(?:bearer|basic)\s+"
r"(?!<REDACTED>)[A-Za-z0-9][A-Za-z0-9._~+/-]{7,}"
),
"private_key": re.compile(r"BEGIN (?:RSA |EC |OPENSSH )?PRIVATE KEY"),
}
for row in runs:
log = ROOT / row["trajectory_path"]
if not log.is_file():
errors.append(f"missing trajectory: {row['task_id']}")
continue
if log.name != "agent.log.gz":
errors.append(f"unexpected trajectory filename: {row['task_id']}")
if sha256(log) != row["released_log_sha256"]:
errors.append(f"trajectory hash mismatch: {row['task_id']}")
continue
try:
with gzip.open(log, "rt", encoding="utf-8", errors="replace") as handle:
for line_number, line in enumerate(handle, 1):
matched = False
for name, pattern in strong_patterns.items():
if pattern.search(line):
errors.append(
f"residual {name}: {row['task_id']}:{line_number}"
)
matched = True
break
if matched:
break
except (OSError, EOFError) as exc:
errors.append(f"unreadable gzip: {row['task_id']}: {exc}")
manifest = json.loads((ROOT / "DATASET_MANIFEST.json").read_text(encoding="utf-8"))
if manifest.get("task_count") != 47:
errors.append("manifest task count is not 47")
if manifest.get("model_agent_setting_count") != 9:
errors.append("manifest setting count is not nine")
if manifest.get("trajectory_file_count") != 423:
errors.append("manifest trajectory count is not 423")
checksum_file = ROOT / "DATASET_SHA256SUMS"
for raw in checksum_file.read_text(encoding="utf-8").splitlines():
expected, relative = raw.split(" ", 1)
path = ROOT / relative
if not path.is_file() or sha256(path) != expected:
errors.append(f"dataset checksum mismatch: {relative}")
if errors:
print("verification FAILED")
for error in errors[:50]:
print("-", error)
raise SystemExit(1)
print(
"verification OK: "
f"tasks={len(tasks)} settings={len(settings)} trajectories={len(runs)}"
)
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