Files
yao-meta-skill/tests/world_class_human_fixtures.py
T
2026-06-17 00:00:05 +08:00

258 lines
11 KiB
Python

#!/usr/bin/env python3
import hashlib
import json
from pathlib import Path
from world_class_evidence_contract import validate_payload
ROOT = Path(__file__).resolve().parent.parent
TMP = ROOT / "tests" / "tmp_world_class_evidence_intake"
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def write_json(path: Path, payload: dict) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
def human_submission(skill_root: Path, *, reviewer: str = "Yao QA") -> dict:
return {
"schema_version": "1.0",
"evidence_key": "human-adjudication",
"template_only": False,
"category": "human",
"source_type": "blind-ab-review",
"submitted_by": reviewer,
"submitted_at": "2026-06-14",
"summary": "Completed blind A/B reviewer decisions for ledger review.",
"artifact_refs": [
{
"path": "reports/output_review_adjudication.json",
"kind": "adjudication-report",
"contains_raw_content": False,
"sha256": sha256_file(skill_root / "reports" / "output_review_adjudication.json"),
},
{
"path": "reports/output_review_decisions.json",
"kind": "review-decisions",
"contains_raw_content": False,
"sha256": sha256_file(skill_root / "reports" / "output_review_decisions.json"),
},
],
"provenance": {
"reviewer": reviewer,
"blind_pack_path": "reports/output_blind_review_pack.md",
"answer_key_opened_after_decisions": True,
},
"privacy": {
"raw_user_content_included": False,
"raw_provider_prompt_included": False,
"credentials_included": False,
"secrets_included": False,
},
"anti_overclaim": {
"planned_work_counts_as_evidence": False,
"metadata_fallback_counts_as_native_enforcement": False,
"pending_review_counts_as_human_decision": False,
"local_command_runner_counts_as_provider_model": False,
},
"attestation": {
"real_external_or_human_evidence": True,
"reviewer_or_operator_identity_present": True,
"artifact_refs_reviewed": True,
"privacy_contract_satisfied": True,
"ledger_reviewer_approved": True,
"ledger_reviewer": "Yao ledger reviewer",
"ledger_reviewed_at": "2026-06-14",
},
}
def human_pairs(*, complete: bool) -> list[dict]:
if complete:
return [
{
"case_id": "case-a",
"status": "match",
"expected_revealed": True,
"reviewer_winner_variant": "A",
"confidence": 0.9,
"reason": "Variant A follows the rubric.",
},
{
"case_id": "case-b",
"status": "disagree",
"expected_revealed": True,
"reviewer_winner_variant": "B",
"confidence": 0.8,
"reason": "Variant B handles the boundary.",
},
]
return [
{
"case_id": "case-a",
"status": "match",
"expected_revealed": True,
"reviewer_winner_variant": "A",
"confidence": 0.9,
"reason": "Variant A follows the rubric.",
},
{
"case_id": "case-b",
"status": "pending",
"expected_revealed": False,
"reviewer_winner_variant": "",
"confidence": None,
"reason": "",
},
]
def write_human_artifacts(skill_root: Path, *, complete: bool = True, reviewer: str = "Yao QA") -> None:
reviewed_at = "2026-06-14"
summary = {
"pair_count": 2,
"judgment_count": 2 if complete else 1,
"pending_count": 0 if complete else 1,
"agreement_count": 2 if complete else 1,
"disagreement_count": 0,
"invalid_decision_count": 0,
"answer_revealed_count": 2 if complete else 1,
"pending_answer_hidden_count": 0 if complete else 1,
"agreement_rate": 100.0,
"needs_review": not complete,
"failure_count": 0,
}
decisions = [
{"case_id": "case-a", "winner_variant": "A", "confidence": 0.9, "reason": "Variant A follows the rubric."},
{
"case_id": "case-b",
"winner_variant": "B" if complete else "",
"confidence": 0.8 if complete else None,
"reason": "Variant B handles the boundary." if complete else "",
},
]
write_json(
skill_root / "reports" / "output_review_adjudication.json",
{
"schema_version": "1.0",
"ok": True,
"summary": summary,
"reviewer": reviewer,
"reviewed_at": reviewed_at,
"pairs": human_pairs(complete=complete),
"failures": [],
},
)
write_json(
skill_root / "reports" / "output_review_decisions.json",
{
"schema_version": "1.0",
"reviewer": reviewer,
"reviewed_at": reviewed_at,
"decisions": decisions,
},
)
def assert_human_submission_error(skill_root: Path, entry: dict, expected_error: str) -> None:
result = validate_payload(
human_submission(skill_root),
entry,
path=skill_root / "evidence" / "world_class" / "submissions" / "human-adjudication.json",
root=skill_root,
template_expected=False,
)
assert result["status"] == "fail", result
assert any(expected_error in error for error in result["errors"]), result["errors"]
def assert_human_contract_artifact_validation() -> None:
entry = {"key": "human-adjudication", "category": "human"}
skill_root = TMP / "human_contract_root"
write_human_artifacts(skill_root, complete=True)
valid_result = validate_payload(
human_submission(skill_root),
entry,
path=skill_root / "evidence" / "world_class" / "submissions" / "human-adjudication.json",
root=skill_root,
template_expected=False,
)
assert valid_result["status"] == "pass", valid_result
assert valid_result["artifact_integrity"]["required_artifact_verified_count"] == 2, valid_result
wrong_kind_submission = human_submission(skill_root)
wrong_kind_submission["artifact_refs"][1]["kind"] = "aggregate-report"
wrong_kind_result = validate_payload(
wrong_kind_submission,
entry,
path=skill_root / "evidence" / "world_class" / "submissions" / "human-adjudication.json",
root=skill_root,
template_expected=False,
)
assert wrong_kind_result["status"] == "fail", wrong_kind_result
assert any("kind must be review-decisions" in error for error in wrong_kind_result["errors"]), wrong_kind_result["errors"]
write_human_artifacts(skill_root, complete=False)
pending_result = validate_payload(
human_submission(skill_root),
entry,
path=skill_root / "evidence" / "world_class" / "submissions" / "human-adjudication.json",
root=skill_root,
template_expected=False,
)
assert pending_result["status"] == "fail", pending_result
assert any("summary.pending_count must be 0" in error for error in pending_result["errors"]), pending_result["errors"]
assert any("summary.judgment_count must equal" in error for error in pending_result["errors"]), pending_result["errors"]
assert any("summary.needs_review must be false" in error for error in pending_result["errors"]), pending_result["errors"]
assert any("A/B winner_variant" in error for error in pending_result["errors"]), pending_result["errors"]
write_human_artifacts(skill_root, complete=True, reviewer="Yao QA")
mismatch_result = validate_payload(
human_submission(skill_root, reviewer="Different Reviewer"),
entry,
path=skill_root / "evidence" / "world_class" / "submissions" / "human-adjudication.json",
root=skill_root,
template_expected=False,
)
assert mismatch_result["status"] == "fail", mismatch_result
assert any("provenance.reviewer must match decisions.reviewer" in error for error in mismatch_result["errors"]), mismatch_result["errors"]
write_human_artifacts(skill_root, complete=True, reviewer="Yao QA")
forged_decisions = json.loads((skill_root / "reports" / "output_review_decisions.json").read_text(encoding="utf-8"))
forged_decisions["decisions"][1]["case_id"] = "unknown-case"
write_json(skill_root / "reports" / "output_review_decisions.json", forged_decisions)
assert_human_submission_error(skill_root, entry, "case_id set must match adjudication pairs")
write_human_artifacts(skill_root, complete=True, reviewer="Yao QA")
forged_decisions = json.loads((skill_root / "reports" / "output_review_decisions.json").read_text(encoding="utf-8"))
forged_decisions["decisions"][0]["confidence"] = 1.2
write_json(skill_root / "reports" / "output_review_decisions.json", forged_decisions)
assert_human_submission_error(skill_root, entry, "confidence must be between 0 and 1")
write_human_artifacts(skill_root, complete=True, reviewer="Yao QA")
forged_decisions = json.loads((skill_root / "reports" / "output_review_decisions.json").read_text(encoding="utf-8"))
forged_decisions["decisions"][0]["expected_winner_variant"] = "A"
write_json(skill_root / "reports" / "output_review_decisions.json", forged_decisions)
assert_human_submission_error(skill_root, entry, "answer-key fields")
write_human_artifacts(skill_root, complete=True, reviewer="Yao QA")
forged_decisions = json.loads((skill_root / "reports" / "output_review_decisions.json").read_text(encoding="utf-8"))
forged_decisions["decisions"][0]["metadata"] = {"raw_output": "verbatim model answer must not ship"}
write_json(skill_root / "reports" / "output_review_decisions.json", forged_decisions)
assert_human_submission_error(skill_root, entry, "decisions[1].metadata.raw_output")
write_human_artifacts(skill_root, complete=True, reviewer="Yao QA")
forged_decisions = json.loads((skill_root / "reports" / "output_review_decisions.json").read_text(encoding="utf-8"))
forged_decisions["decisions"][0]["metadata"] = {"API_KEY": "credential material must not ship"}
write_json(skill_root / "reports" / "output_review_decisions.json", forged_decisions)
assert_human_submission_error(skill_root, entry, "decisions[1].metadata.API_KEY")