File size: 2,190 Bytes
d1a3338 4ba7b46 d1a3338 4ba7b46 | 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 | """Standalone loader for the certificate failure atlas.
Works with `datasets` if you have it, and without it if you don't — the corpus is
small and dependency-free access matters more here than streaming.
"""
from __future__ import annotations
import json
from pathlib import Path
from typing import Dict, Iterator, List, Optional
HERE = Path(__file__).parent
SPLITS = ("valid", "invalid")
def load_split(split: str, root: Optional[Path] = None) -> List[dict]:
"""Load one split as a list of dicts. No third-party dependency required."""
if split not in SPLITS:
raise ValueError(f"split must be one of {SPLITS}, got {split!r}")
path = (root or HERE) / "data" / f"{split}-00000.jsonl"
with path.open(encoding="utf-8") as fh:
return [json.loads(line) for line in fh if line.strip()]
def load(root: Optional[Path] = None) -> Dict[str, List[dict]]:
"""Load every split."""
return {s: load_split(s, root) for s in SPLITS}
def iter_forgeries(root: Optional[Path] = None) -> Iterator[dict]:
"""Every invalid case, which is what the corpus is for."""
yield from load_split("invalid", root)
def artifact(row: dict) -> Dict[str, str]:
"""Decode a row's artifact into {filename: contents}."""
return json.loads(row["artifact_json"])
def schema(root: Optional[Path] = None) -> dict:
return json.loads(((root or HERE) / "schema.json").read_text(encoding="utf-8"))
def as_hf_dataset(root: Optional[Path] = None):
"""Return a `datasets.DatasetDict` if the `datasets` package is installed."""
try:
from datasets import Dataset, DatasetDict
except ImportError as exc: # pragma: no cover
raise ImportError(
"the `datasets` package is not installed; use load() for plain dicts") from exc
return DatasetDict({s: Dataset.from_list(load_split(s, root)) for s in SPLITS})
if __name__ == "__main__":
d = load()
print(f"valid: {len(d['valid'])} invalid: {len(d['invalid'])}")
print(f"atlas digest: {schema()['atlas_digest']}")
for r in d["invalid"][:3]:
print(f" {r['id']:34} [{r['severity']}] {r['title']}")
print(f" files: {', '.join(artifact(r))}")
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