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chore: import upstream snapshot with attribution
2026-07-13 12:43:05 +08:00

137 lines
4.0 KiB
Python

from __future__ import annotations
import json
import sys
from pathlib import Path
from typing import Any
SCRIPT_DIR = Path(__file__).resolve().parent
sys.path.insert(0, str(SCRIPT_DIR))
sys.path.insert(0, str(SCRIPT_DIR.parent))
from validate_corpus import run as validate_corpus_run # noqa: E402
def _attestation(*, passed: bool = True) -> dict[str, Any]:
return {
"schema": "eliza.privacy_filter_attestation.v1",
"version": 1,
"source": "unit",
"redacted": True,
"reviewed": True,
"passed": passed,
}
def _write_jsonl(path: Path, rows: list[dict[str, Any]]) -> None:
path.write_text(
"".join(json.dumps(row, ensure_ascii=False) + "\n" for row in rows),
encoding="utf-8",
)
def _native_row(
*,
trajectory_id: str = "traj-a",
text: str = "what is 2+2?",
response_text: str = "4",
attested: bool = True,
attestation_passed: bool = True,
) -> dict[str, Any]:
row: dict[str, Any] = {
"format": "eliza_native_v1",
"boundary": "vercel_ai_sdk.generateText",
"trajectoryId": trajectory_id,
"request": {"messages": [{"role": "user", "content": text}]},
"response": {"text": response_text},
"metadata": {
"task_type": "response",
"source_dataset": "unit_native",
},
}
if attested:
row["metadata"]["privacy_attestation"] = _attestation(
passed=attestation_passed
)
return row
def test_validate_corpus_rejects_missing_native_privacy_attestation(
tmp_path: Path,
) -> None:
corpus = tmp_path / "native.jsonl"
report = tmp_path / "report.json"
_write_jsonl(corpus, [_native_row(attested=False)])
code = validate_corpus_run(corpus, report, strict=True, max_records=None)
assert code == 1
parsed = json.loads(report.read_text(encoding="utf-8"))
assert parsed["invalid_records"] == 1
assert (
parsed["errors_by_task_type"]["response"][
"native_v1_missing_privacy_attestation"
]
== 1
)
def test_validate_corpus_rejects_failed_native_privacy_attestation(
tmp_path: Path,
) -> None:
corpus = tmp_path / "native.jsonl"
report = tmp_path / "report.json"
_write_jsonl(corpus, [_native_row(attestation_passed=False)])
code = validate_corpus_run(corpus, report, strict=True, max_records=None)
assert code == 1
parsed = json.loads(report.read_text(encoding="utf-8"))
assert parsed["invalid_records"] == 1
assert (
parsed["errors_by_task_type"]["response"][
"native_v1_missing_privacy_attestation"
]
== 1
)
def test_validate_corpus_rejects_duplicate_native_content(tmp_path: Path) -> None:
source = tmp_path / "dupes.jsonl"
_write_jsonl(
source,
[
_native_row(trajectory_id="traj-a"),
_native_row(trajectory_id="traj-b"),
],
)
report = tmp_path / "report.json"
code = validate_corpus_run(source, report, strict=True, max_records=None)
parsed = json.loads(report.read_text(encoding="utf-8"))
assert code == 1
assert parsed["invalid_records"] == 1
assert parsed["errors_by_task_type"]["response"]["duplicate_native_content"] == 1
assert parsed["errors_by_task_type"]["response"]["duplicate_content_hash"] == 1
assert "first seen on line 1" in parsed["first_50_failing_records"][0]["fix_hint"]
assert "duplicates line 1" in parsed["first_50_failing_records"][0]["fix_hint"]
def test_validate_corpus_accepts_distinct_native_content(tmp_path: Path) -> None:
source = tmp_path / "distinct.jsonl"
_write_jsonl(
source,
[
_native_row(trajectory_id="traj-a"),
_native_row(trajectory_id="traj-b", response_text="four"),
],
)
report = tmp_path / "report.json"
code = validate_corpus_run(source, report, strict=True, max_records=None)
parsed = json.loads(report.read_text(encoding="utf-8"))
assert code == 0
assert parsed["invalid_records"] == 0