feat(governance): 新增 fixture dry-run 證據包
This commit is contained in:
@@ -70,6 +70,9 @@ from src.services.ai_agent_learning_writeback_approval_package import (
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from src.services.ai_agent_live_read_model_gate import (
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load_latest_ai_agent_live_read_model_gate,
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)
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from src.services.ai_agent_owner_approved_fixture_dry_run import (
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load_latest_ai_agent_owner_approved_fixture_dry_run,
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)
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from src.services.ai_agent_owner_approved_learning_dry_run import (
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load_latest_ai_agent_owner_approved_learning_dry_run,
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)
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@@ -754,6 +757,34 @@ async def get_agent_owner_approved_learning_dry_run() -> dict[str, Any]:
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) from exc
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@router.get(
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"/agent-owner-approved-fixture-dry-run",
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response_model=dict[str, Any],
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summary="取得 AI Agent owner-approved fixture dry-run 批准包",
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description=(
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"讀取最新已提交的 owner-approved fixture dry-run 批准包;此端點只回傳 fixture-only dry-run 證據,"
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"不寫 KM、不更新 PlayBook trust、不寫 timeline / replay score、不寫 Gateway queue、不呼叫 Telegram Bot API、"
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"不啟動 runtime worker、不開 Redis consumer group、不執行 DB migration、不觸發 workflow、"
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"不執行主機或 cluster 指令、不使用 secrets 或付費 API、不回傳未核准內部細節。"
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),
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)
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async def get_agent_owner_approved_fixture_dry_run() -> dict[str, Any]:
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"""Return the latest read-only AI Agent owner-approved fixture dry-run package."""
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try:
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return await asyncio.to_thread(load_latest_ai_agent_owner_approved_fixture_dry_run)
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except FileNotFoundError as exc:
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raise HTTPException(
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status_code=status.HTTP_404_NOT_FOUND,
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detail=str(exc),
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) from exc
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except (json.JSONDecodeError, ValueError) as exc:
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logger.error("ai_agent_owner_approved_fixture_dry_run_invalid", error=str(exc))
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raise HTTPException(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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detail="AI Agent owner-approved fixture dry-run 批准包無效",
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) from exc
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@router.get(
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"/agent-proactive-operations-contract",
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response_model=dict[str, Any],
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213
apps/api/src/services/ai_agent_owner_approved_fixture_dry_run.py
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213
apps/api/src/services/ai_agent_owner_approved_fixture_dry_run.py
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@@ -0,0 +1,213 @@
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"""
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AI Agent owner-approved fixture dry-run snapshot.
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Loads the latest committed P2-403F fixture-only dry-run package. This module
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never writes KM, updates PlayBook trust, writes timeline or replay scores,
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writes Gateway queues, sends Telegram messages, opens Redis consumer groups,
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starts workers, runs workflows, invokes secrets or paid APIs, or executes host
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and cluster commands.
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any
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from src.services.snapshot_paths import default_evaluations_dir
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_DEFAULT_EVALUATIONS_DIR = default_evaluations_dir(Path(__file__))
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_SNAPSHOT_PATTERN = "ai_agent_owner_approved_fixture_dry_run_*.json"
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_SCHEMA_VERSION = "ai_agent_owner_approved_fixture_dry_run_v1"
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_RUNTIME_AUTHORITY = "owner_approved_fixture_dry_run_only_no_live_write"
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def load_latest_ai_agent_owner_approved_fixture_dry_run(
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evaluations_dir: Path | None = None,
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) -> dict[str, Any]:
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"""Load the newest committed AI Agent owner-approved fixture dry-run package."""
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directory = evaluations_dir or _DEFAULT_EVALUATIONS_DIR
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candidates = sorted(directory.glob(_SNAPSHOT_PATTERN))
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if not candidates:
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raise FileNotFoundError(
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f"no AI Agent owner-approved fixture dry-run snapshots found in {directory}"
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)
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latest = candidates[-1]
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with latest.open(encoding="utf-8") as handle:
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payload = json.load(handle)
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if not isinstance(payload, dict):
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raise ValueError(f"{latest}: expected JSON object")
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_require_schema(payload, str(latest))
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_require_read_only_boundaries(payload, str(latest))
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_require_package_safety(payload, str(latest))
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_require_rollup_consistency(payload, str(latest))
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return payload
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def _require_schema(payload: dict[str, Any], label: str) -> None:
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actual = payload.get("schema_version")
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if actual != _SCHEMA_VERSION:
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raise ValueError(f"{label}: expected schema_version={_SCHEMA_VERSION}, got {actual!r}")
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status = payload.get("program_status") or {}
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if status.get("read_only_mode") is not True:
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raise ValueError(f"{label}: program_status.read_only_mode must be true")
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if status.get("runtime_authority") != _RUNTIME_AUTHORITY:
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raise ValueError(f"{label}: runtime_authority must stay {_RUNTIME_AUTHORITY}")
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if status.get("current_task_id") != "P2-403F":
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raise ValueError(f"{label}: current_task_id must stay P2-403F")
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if status.get("next_task_id") != "P2-403G":
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raise ValueError(f"{label}: next_task_id must stay P2-403G")
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def _require_read_only_boundaries(payload: dict[str, Any], label: str) -> None:
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boundaries = payload.get("approval_boundaries") or {}
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enabled = sorted(key for key, value in boundaries.items() if value is not False)
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if enabled:
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raise ValueError(f"{label}: approval boundaries must remain false: {enabled}")
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truth = payload.get("dry_run_truth") or {}
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if truth.get("owner_fixture_scope_approved") is not True:
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raise ValueError(f"{label}: owner fixture scope must be approved for fixture-only dry-run")
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if truth.get("fixture_dry_run_allowed") is not True:
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raise ValueError(f"{label}: fixture dry-run must remain explicitly allowed")
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false_flags = {
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"production_write_approved",
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"km_write_allowed",
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"playbook_trust_write_allowed",
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"timeline_learning_write_allowed",
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"agent_replay_score_write_allowed",
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"gateway_queue_write_allowed",
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"telegram_send_allowed",
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"redis_consumer_group_allowed",
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"db_migration_allowed",
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"workflow_trigger_allowed",
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"runtime_worker_allowed",
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"host_or_cluster_command_allowed",
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"secret_or_paid_api_allowed",
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}
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unsafe = sorted(flag for flag in false_flags if truth.get(flag) is not False)
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if unsafe:
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raise ValueError(f"{label}: dry-run truth flags must remain false: {unsafe}")
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zero_counts = {
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"live_learning_write_count",
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"live_playbook_trust_update_count",
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"live_km_update_count",
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"live_timeline_write_count",
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"live_replay_score_write_count",
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"live_gateway_queue_write_count",
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"live_telegram_send_count",
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}
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non_zero = sorted(key for key in zero_counts if truth.get(key) != 0)
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if non_zero:
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raise ValueError(f"{label}: live dry-run counts must remain zero: {non_zero}")
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def _require_package_safety(payload: dict[str, Any], label: str) -> None:
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package = payload.get("fixture_package") or {}
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required_fields = set(package.get("required_fields") or [])
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required_minimum = {
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"fixture_event_id",
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"source_contract_ref",
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"scenario_type",
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"owner_scope_ref",
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"agent_owner",
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"target_surface",
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"proposed_delta_summary",
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"redacted_evidence_ref",
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"dry_run_expected_output",
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"no_write_proof_ref",
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"rollback_plan_ref",
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}
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missing = sorted(required_minimum - required_fields)
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if missing:
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raise ValueError(f"{label}: fixture package missing required fields: {missing}")
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if package.get("owner_review_required") is not True:
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raise ValueError(f"{label}: owner review must be required")
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if package.get("rollback_required") is not True:
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raise ValueError(f"{label}: rollback must be required")
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if package.get("no_write_proof_required") is not True:
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raise ValueError(f"{label}: no-write proof must be required")
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redaction = payload.get("display_redaction_contract") or {}
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if redaction.get("redaction_required") is not True:
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raise ValueError(f"{label}: frontend redaction must be required")
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for flag in (
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"raw_payload_display_allowed",
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"private_reasoning_display_allowed",
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"secret_value_display_allowed",
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"action_button_allowed",
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):
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if redaction.get(flag) is not False:
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raise ValueError(f"{label}: {flag} must remain false")
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rollback = payload.get("rollback_contract") or {}
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if rollback.get("rollback_required") is not True:
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raise ValueError(f"{label}: rollback_contract.rollback_required must be true")
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if not rollback.get("rollback_steps"):
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raise ValueError(f"{label}: rollback steps must not be empty")
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if not payload.get("fixture_sets"):
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raise ValueError(f"{label}: fixture sets must not be empty")
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if not payload.get("simulation_steps"):
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raise ValueError(f"{label}: simulation steps must not be empty")
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def _require_rollup_consistency(payload: dict[str, Any], label: str) -> None:
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rollups = payload.get("rollups") or {}
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fixture_sets = payload.get("fixture_sets") or []
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gates = payload.get("dry_run_gates") or []
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steps = payload.get("simulation_steps") or []
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package = payload.get("fixture_package") or {}
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truth = payload.get("dry_run_truth") or {}
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expected_counts = {
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"fixture_set_count": len(fixture_sets),
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"dry_run_gate_count": len(gates),
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"simulation_step_count": len(steps),
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"approved_fixture_only_count": sum(
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1 for fixture in fixture_sets if fixture.get("status") == "approved_for_fixture_only"
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),
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"blocked_runtime_action_count": len(
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{
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action
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for action in [gate.get("blocked_runtime_action") for gate in gates]
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if action
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}
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),
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"required_field_count": len(package.get("required_fields") or []),
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"forbidden_field_count": len(package.get("forbidden_fields") or []),
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}
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mismatched = {
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key: {"expected": expected, "actual": rollups.get(key)}
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for key, expected in expected_counts.items()
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if rollups.get(key) != expected
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}
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if mismatched:
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raise ValueError(f"{label}: rollup counts must match payload sections: {mismatched}")
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approval_required = sorted(
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gate.get("gate_id") for gate in gates if gate.get("status") == "approval_required"
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)
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if sorted(rollups.get("approval_required_gate_ids") or []) != approval_required:
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raise ValueError(f"{label}: rollups.approval_required_gate_ids mismatch")
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live_write_total = sum(
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int(truth.get(key) or 0)
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for key in (
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"live_learning_write_count",
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"live_playbook_trust_update_count",
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"live_km_update_count",
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"live_timeline_write_count",
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"live_replay_score_write_count",
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"live_gateway_queue_write_count",
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)
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)
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if rollups.get("live_write_count_total") != live_write_total:
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raise ValueError(f"{label}: rollups.live_write_count_total mismatch")
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if rollups.get("live_send_count_total") != int(truth.get("live_telegram_send_count") or 0):
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raise ValueError(f"{label}: rollups.live_send_count_total mismatch")
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if rollups.get("live_receipt_count_total") != 0:
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raise ValueError(f"{label}: rollups.live_receipt_count_total must remain zero")
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