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Conflict_Checker/backend/review/schemas.py
T
John Wilganowski 1c1d2ff21b
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Add required human review gate to the Agent pipeline.
Agent web jobs now stop after Brain consolidation and enter needs_review
with a persisted review queue (blocking: high-severity, low-confidence,
sensitive-category findings; audit sample of clean clusters). Humans
decide confirm/reject/unsure/needs_clarification via new review API and
frontend queue; a finalizer applies decisions (rejections suppressed with
reason codes), performs bounded targeted reruns for clarifications,
drafts RFIs only for kept issues, and only then marks the job done and
sends the final email. Two-phase email (review-required, then final
report), per-decision feedback labels with redacted aggregate metrics,
restart recovery from job artifacts, and CLI --no-review bypass.
Classic pipeline unchanged. 65 non-LLM tests.
2026-07-28 19:23:57 +00:00

46 lines
1.5 KiB
Python

"""Human-review decision schema and validation."""
from typing import Optional
DECISIONS = {"confirm", "reject", "unsure", "needs_clarification"}
REASON_CODES = {
"wrong_cluster_link",
"same_value_different_representation",
"not_a_contradiction",
"missing_evidence",
"extraction_misread",
"code_path_not_applicable",
"duplicate",
"severity_too_high",
"severity_too_low",
"other",
}
def validate_decision(raw: dict) -> Optional[dict]:
"""Normalize a reviewer decision payload, or return None if invalid."""
if not isinstance(raw, dict):
return None
decision = str(raw.get("decision") or "").strip()
if decision not in DECISIONS:
return None
reason_code = raw.get("reason_code")
if decision == "reject":
reason_code = str(reason_code or "").strip()
if reason_code not in REASON_CODES:
return None
elif reason_code is not None:
reason_code = str(reason_code).strip() or None
if reason_code and reason_code not in REASON_CODES:
return None
return {
"review_item_id": str(raw.get("review_item_id") or "").strip(),
"decision": decision,
"reason_code": reason_code,
"category_correction": raw.get("category_correction"),
"severity_correction": raw.get("severity_correction"),
"comment": str(raw.get("comment") or "").strip(),
"clarification_answer": raw.get("clarification_answer"),
"reviewed_at": raw.get("reviewed_at"),
}