feat(governance): 新增 matched PlayBook 學習缺口
This commit is contained in:
@@ -73,6 +73,9 @@ 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_matched_playbook_learning_gap import (
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load_latest_ai_agent_matched_playbook_learning_gap,
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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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@@ -1128,6 +1131,34 @@ async def get_agent_task_result_audit_trail() -> dict[str, Any]:
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) from exc
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@router.get(
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"/agent-matched-playbook-learning-gap",
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response_model=dict[str, Any],
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summary="取得 AI Agent matched PlayBook 學習缺口",
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description=(
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"讀取最新已提交的 P2-104 matched_playbook_id 學習缺口契約;此端點只回傳 "
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"PlayBook id 來源、approval record 序列化、learning service、await learning、測試契約、"
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"live null-rate gate 與 owner gate,不查 live DB、不更新 PlayBook trust、不寫 KM、不寫 timeline、"
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"不寫 Gateway queue、不送 Telegram、不呼叫 Bot API、不寫 production target、不讀 secret。"
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),
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)
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async def get_agent_matched_playbook_learning_gap() -> dict[str, Any]:
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"""Return the latest read-only AI Agent matched PlayBook learning gap contract."""
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try:
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return await asyncio.to_thread(load_latest_ai_agent_matched_playbook_learning_gap)
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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_matched_playbook_learning_gap_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 matched PlayBook 學習缺口無效",
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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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273
apps/api/src/services/ai_agent_matched_playbook_learning_gap.py
Normal file
273
apps/api/src/services/ai_agent_matched_playbook_learning_gap.py
Normal file
@@ -0,0 +1,273 @@
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"""
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AI Agent matched PlayBook learning gap snapshot.
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Loads the latest committed P2-104 matched_playbook_id learning gap contract.
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This module validates repo-committed evidence only; it never reads live DB rows,
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updates PlayBook trust, writes KM, writes timelines, writes Gateway queues,
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sends Telegram messages, reads secrets, or starts runtime work.
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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_matched_playbook_learning_gap_*.json"
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_SCHEMA_VERSION = "ai_agent_matched_playbook_learning_gap_v1"
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_RUNTIME_AUTHORITY = "matched_playbook_learning_gap_contract_only_no_live_trust_write"
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def load_latest_ai_agent_matched_playbook_learning_gap(
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evaluations_dir: Path | None = None,
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) -> dict[str, Any]:
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"""Load the newest committed matched PlayBook learning gap contract."""
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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(f"no AI Agent matched PlayBook learning gap snapshots found in {directory}")
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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_no_live_boundaries(payload, str(latest))
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_require_learning_checkpoints(payload, str(latest))
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_require_gap_items(payload, str(latest))
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_require_test_contracts(payload, str(latest))
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_require_owner_gates(payload, str(latest))
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_require_redaction_contract(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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if payload.get("schema_version") != _SCHEMA_VERSION:
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raise ValueError(f"{label}: expected schema_version={_SCHEMA_VERSION}")
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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 remain {_RUNTIME_AUTHORITY}")
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if status.get("current_task_id") != "P2-104":
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raise ValueError(f"{label}: current_task_id must be P2-104")
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if status.get("next_task_id") != "P2-105":
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raise ValueError(f"{label}: next_task_id must be P2-105")
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def _require_no_live_boundaries(payload: dict[str, Any], label: str) -> None:
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truth = payload.get("learning_gap_truth") or {}
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required_true = {
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"p2_103_result_audit_loaded",
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"matched_playbook_source_contract_ready",
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"approval_record_contract_ready",
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"learning_service_contract_ready",
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"execution_learning_await_contract_ready",
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"e2e_test_contract_ready",
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"owner_gate_contract_ready",
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"all_checkpoints_have_evidence_ref",
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}
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missing = sorted(field for field in required_true if truth.get(field) is not True)
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if missing:
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raise ValueError(f"{label}: learning gap readiness flags must remain true: {missing}")
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required_false = {
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"runtime_execution_enabled",
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"live_db_read_enabled",
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"playbook_trust_write_enabled",
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"km_write_enabled",
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"timeline_write_enabled",
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"gateway_queue_write_enabled",
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"telegram_send_enabled",
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"production_write_enabled",
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"secret_value_read_enabled",
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"host_or_cluster_command_enabled",
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"destructive_operation_enabled",
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}
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unsafe = sorted(field for field in required_false if truth.get(field) is not False)
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if unsafe:
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raise ValueError(f"{label}: live read/write/send/execution flags must remain false: {unsafe}")
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zero_counts = {
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"runtime_execution_count_24h",
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"live_db_read_count_24h",
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"playbook_trust_write_count_24h",
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"km_write_count_24h",
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"timeline_write_count_24h",
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"gateway_queue_write_count_24h",
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"telegram_send_count_24h",
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"production_write_count_24h",
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"secret_value_read_count_24h",
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"host_or_cluster_command_count_24h",
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"destructive_operation_count_24h",
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}
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non_zero = sorted(field for field in zero_counts if truth.get(field) != 0)
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if non_zero:
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raise ValueError(f"{label}: live read/write/send/execution counts must remain zero: {non_zero}")
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def _require_learning_checkpoints(payload: dict[str, Any], label: str) -> None:
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checkpoints = payload.get("learning_checkpoints") or []
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checkpoint_ids = {checkpoint.get("checkpoint_id") for checkpoint in checkpoints}
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required = {
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"checkpoint_proposal_playbook_match",
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"checkpoint_approval_record_serialization",
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"checkpoint_learning_service_update",
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"checkpoint_execution_await_learning",
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"checkpoint_repair_candidate_playbook_id",
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"checkpoint_webhook_source_correlation",
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"checkpoint_live_null_rate_gate",
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}
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if checkpoint_ids != required:
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raise ValueError(f"{label}: learning checkpoints must match {sorted(required)}")
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valid_status = {
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"covered_by_test",
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"covered_by_existing_tests",
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"source_guarded",
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"blocked_until_live_evidence",
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}
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for checkpoint in checkpoints:
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checkpoint_id = checkpoint.get("checkpoint_id")
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if checkpoint.get("current_status") not in valid_status:
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raise ValueError(f"{label}: checkpoint {checkpoint_id} current_status is invalid")
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if checkpoint.get("writes_live_state") is not False:
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raise ValueError(f"{label}: checkpoint {checkpoint_id} writes_live_state must remain false")
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if not isinstance(checkpoint.get("requires_owner_review"), bool):
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raise ValueError(f"{label}: checkpoint {checkpoint_id} requires_owner_review must be boolean")
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for field in {"source_component", "evidence_ref", "expected_signal", "gap_if_missing"}:
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if not checkpoint.get(field):
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raise ValueError(f"{label}: checkpoint {checkpoint_id} must list {field}")
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if not _is_redacted_sha256(checkpoint.get("evidence_hash")):
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raise ValueError(f"{label}: checkpoint {checkpoint_id} must expose evidence_hash")
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def _require_gap_items(payload: dict[str, Any], label: str) -> None:
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gaps = payload.get("gap_items") or []
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if not gaps:
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raise ValueError(f"{label}: gap_items must not be empty")
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for gap in gaps:
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gap_id = gap.get("gap_id")
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if gap.get("severity") not in {"critical", "high", "medium", "low"}:
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raise ValueError(f"{label}: gap {gap_id} severity is invalid")
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if not isinstance(gap.get("blocks_trust_write"), bool):
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raise ValueError(f"{label}: gap {gap_id} blocks_trust_write must be boolean")
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for field in {"display_name", "current_state", "required_evidence", "owner_next_action"}:
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if not gap.get(field):
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raise ValueError(f"{label}: gap {gap_id} must list {field}")
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def _require_test_contracts(payload: dict[str, Any], label: str) -> None:
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tests = payload.get("test_contracts") or []
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if len(tests) < 5:
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raise ValueError(f"{label}: test_contracts must include at least five tests")
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for test in tests:
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test_id = test.get("test_id")
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if test.get("live_execution_required") is not False:
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raise ValueError(f"{label}: test {test_id} live_execution_required must remain false")
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if not test.get("test_ref") or "::" not in test.get("test_ref", ""):
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raise ValueError(f"{label}: test {test_id} must expose test_ref")
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if not test.get("expected_result"):
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raise ValueError(f"{label}: test {test_id} must list expected_result")
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def _require_owner_gates(payload: dict[str, Any], label: str) -> None:
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gates = payload.get("owner_gates") or []
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gate_ids = {gate.get("gate_id") for gate in gates}
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required = {
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"gate_read_only_live_null_rate",
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"gate_playbook_trust_write",
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"gate_km_timeline_write",
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}
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if gate_ids != required:
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raise ValueError(f"{label}: owner gates must match {sorted(required)}")
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for gate in gates:
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gate_id = gate.get("gate_id")
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if gate.get("approval_required") is not True:
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raise ValueError(f"{label}: gate {gate_id} approval_required must remain true")
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if gate.get("runtime_write_allowed") is not False:
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raise ValueError(f"{label}: gate {gate_id} runtime_write_allowed must remain false")
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if not gate.get("blocked_reason"):
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raise ValueError(f"{label}: gate {gate_id} must list blocked_reason")
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def _require_redaction_contract(payload: dict[str, Any], label: str) -> None:
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contract = payload.get("display_redaction_contract") or {}
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required_false = {
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"raw_prompt_display_allowed",
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"private_reasoning_display_allowed",
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"secret_value_display_allowed",
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"raw_telegram_payload_display_allowed",
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"work_window_transcript_display_allowed",
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}
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if contract.get("redaction_required") is not True:
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raise ValueError(f"{label}: redaction_required must be true")
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unsafe = sorted(field for field in required_false if contract.get(field) is not False)
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if unsafe:
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raise ValueError(f"{label}: redaction flags must remain false: {unsafe}")
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if not contract.get("allowed_display_fields"):
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raise ValueError(f"{label}: allowed_display_fields must not be empty")
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if not contract.get("blocked_display_fields"):
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raise ValueError(f"{label}: blocked_display_fields 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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checkpoints = payload.get("learning_checkpoints") or []
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gaps = payload.get("gap_items") or []
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tests = payload.get("test_contracts") or []
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gates = payload.get("owner_gates") or []
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expected = {
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"learning_checkpoint_count": len(checkpoints),
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"covered_by_test_count": sum(
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1
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for item in checkpoints
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if item.get("current_status") in {"covered_by_test", "covered_by_existing_tests"}
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),
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"source_guarded_count": sum(1 for item in checkpoints if item.get("current_status") == "source_guarded"),
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"blocked_until_live_evidence_count": sum(1 for item in checkpoints if item.get("current_status") == "blocked_until_live_evidence"),
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"gap_item_count": len(gaps),
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"high_severity_gap_count": sum(1 for item in gaps if item.get("severity") == "high"),
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"test_contract_count": len(tests),
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"owner_gate_count": len(gates),
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"approval_required_gate_count": sum(1 for item in gates if item.get("approval_required") is True),
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}
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mismatches = {
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key: {"expected": value, "actual": rollups.get(key)}
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for key, value in expected.items()
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if rollups.get(key) != value
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}
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if mismatches:
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raise ValueError(f"{label}: rollup counts mismatch: {mismatches}")
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zero_rollups = {
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"runtime_execution_count",
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"live_db_read_count",
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"playbook_trust_write_count",
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"km_write_count",
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"timeline_write_count",
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"gateway_queue_write_count",
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"telegram_send_count",
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"production_write_count",
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"secret_value_read_count",
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"destructive_operation_count",
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}
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non_zero = sorted(field for field in zero_rollups if rollups.get(field) != 0)
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if non_zero:
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raise ValueError(f"{label}: rollup live read/write/send/execution counts must remain zero: {non_zero}")
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def _is_redacted_sha256(value: Any) -> bool:
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if not isinstance(value, str):
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return False
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if not value.startswith("sha256:"):
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return False
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digest = value.removeprefix("sha256:")
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return len(digest) == 64 and all(char in "0123456789abcdef" for char in digest)
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116
apps/api/tests/test_ai_agent_matched_playbook_learning_gap.py
Normal file
116
apps/api/tests/test_ai_agent_matched_playbook_learning_gap.py
Normal file
@@ -0,0 +1,116 @@
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import copy
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import json
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import pytest
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from src.services.ai_agent_matched_playbook_learning_gap import (
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load_latest_ai_agent_matched_playbook_learning_gap,
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)
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def _write_snapshot(tmp_path, payload):
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path = tmp_path / "ai_agent_matched_playbook_learning_gap_2026-06-13.json"
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path.write_text(json.dumps(payload), encoding="utf-8")
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return path
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def test_load_latest_ai_agent_matched_playbook_learning_gap():
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data = load_latest_ai_agent_matched_playbook_learning_gap()
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assert data["schema_version"] == "ai_agent_matched_playbook_learning_gap_v1"
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assert data["program_status"]["current_task_id"] == "P2-104"
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assert data["program_status"]["next_task_id"] == "P2-105"
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assert data["program_status"]["overall_completion_percent"] == 100
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assert data["learning_gap_truth"]["matched_playbook_source_contract_ready"] is True
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assert data["learning_gap_truth"]["approval_record_contract_ready"] is True
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assert data["learning_gap_truth"]["learning_service_contract_ready"] is True
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assert data["learning_gap_truth"]["runtime_execution_enabled"] is False
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assert data["learning_gap_truth"]["live_db_read_enabled"] is False
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assert data["learning_gap_truth"]["playbook_trust_write_enabled"] is False
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assert data["learning_gap_truth"]["km_write_enabled"] is False
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assert data["learning_gap_truth"]["timeline_write_enabled"] is False
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assert data["learning_gap_truth"]["gateway_queue_write_enabled"] is False
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assert data["learning_gap_truth"]["telegram_send_enabled"] is False
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assert data["rollups"]["learning_checkpoint_count"] == 7
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assert data["rollups"]["covered_by_test_count"] == 4
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assert data["rollups"]["source_guarded_count"] == 2
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assert data["rollups"]["blocked_until_live_evidence_count"] == 1
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assert data["rollups"]["gap_item_count"] == 4
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assert data["rollups"]["high_severity_gap_count"] == 2
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assert data["rollups"]["test_contract_count"] == 5
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assert data["rollups"]["owner_gate_count"] == 3
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assert data["rollups"]["approval_required_gate_count"] == 3
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assert data["rollups"]["live_db_read_count"] == 0
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assert data["rollups"]["playbook_trust_write_count"] == 0
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assert data["rollups"]["telegram_send_count"] == 0
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def test_rejects_live_db_read_enabled(tmp_path):
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data = load_latest_ai_agent_matched_playbook_learning_gap()
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bad = copy.deepcopy(data)
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bad["learning_gap_truth"]["live_db_read_enabled"] = True
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_write_snapshot(tmp_path, bad)
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with pytest.raises(ValueError, match="live read/write/send/execution flags"):
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load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
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def test_rejects_playbook_trust_write_count(tmp_path):
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data = load_latest_ai_agent_matched_playbook_learning_gap()
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bad = copy.deepcopy(data)
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bad["learning_gap_truth"]["playbook_trust_write_count_24h"] = 1
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bad["rollups"]["playbook_trust_write_count"] = 1
|
||||
_write_snapshot(tmp_path, bad)
|
||||
|
||||
with pytest.raises(ValueError, match="live read/write/send/execution counts"):
|
||||
load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
|
||||
|
||||
|
||||
def test_rejects_checkpoint_live_write(tmp_path):
|
||||
data = load_latest_ai_agent_matched_playbook_learning_gap()
|
||||
bad = copy.deepcopy(data)
|
||||
bad["learning_checkpoints"][0]["writes_live_state"] = True
|
||||
_write_snapshot(tmp_path, bad)
|
||||
|
||||
with pytest.raises(ValueError, match="writes_live_state"):
|
||||
load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
|
||||
|
||||
|
||||
def test_rejects_checkpoint_without_evidence_ref(tmp_path):
|
||||
data = load_latest_ai_agent_matched_playbook_learning_gap()
|
||||
bad = copy.deepcopy(data)
|
||||
bad["learning_checkpoints"][0]["evidence_ref"] = ""
|
||||
_write_snapshot(tmp_path, bad)
|
||||
|
||||
with pytest.raises(ValueError, match="evidence_ref"):
|
||||
load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
|
||||
|
||||
|
||||
def test_rejects_test_contract_live_execution(tmp_path):
|
||||
data = load_latest_ai_agent_matched_playbook_learning_gap()
|
||||
bad = copy.deepcopy(data)
|
||||
bad["test_contracts"][0]["live_execution_required"] = True
|
||||
_write_snapshot(tmp_path, bad)
|
||||
|
||||
with pytest.raises(ValueError, match="live_execution_required"):
|
||||
load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
|
||||
|
||||
|
||||
def test_rejects_owner_gate_runtime_write(tmp_path):
|
||||
data = load_latest_ai_agent_matched_playbook_learning_gap()
|
||||
bad = copy.deepcopy(data)
|
||||
bad["owner_gates"][0]["runtime_write_allowed"] = True
|
||||
_write_snapshot(tmp_path, bad)
|
||||
|
||||
with pytest.raises(ValueError, match="runtime_write_allowed"):
|
||||
load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
|
||||
|
||||
|
||||
def test_rejects_rollup_mismatch(tmp_path):
|
||||
data = load_latest_ai_agent_matched_playbook_learning_gap()
|
||||
bad = copy.deepcopy(data)
|
||||
bad["rollups"]["learning_checkpoint_count"] = 999
|
||||
_write_snapshot(tmp_path, bad)
|
||||
|
||||
with pytest.raises(ValueError, match="rollup counts"):
|
||||
load_latest_ai_agent_matched_playbook_learning_gap(tmp_path)
|
||||
@@ -0,0 +1,37 @@
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from src.main import app
|
||||
|
||||
|
||||
def test_get_ai_agent_matched_playbook_learning_gap_api():
|
||||
client = TestClient(app)
|
||||
response = client.get("/api/v1/agents/agent-matched-playbook-learning-gap")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["schema_version"] == "ai_agent_matched_playbook_learning_gap_v1"
|
||||
assert data["program_status"]["current_task_id"] == "P2-104"
|
||||
assert data["program_status"]["next_task_id"] == "P2-105"
|
||||
assert data["program_status"]["overall_completion_percent"] == 100
|
||||
assert data["learning_gap_truth"]["matched_playbook_source_contract_ready"] is True
|
||||
assert data["learning_gap_truth"]["approval_record_contract_ready"] is True
|
||||
assert data["learning_gap_truth"]["learning_service_contract_ready"] is True
|
||||
assert data["learning_gap_truth"]["runtime_execution_enabled"] is False
|
||||
assert data["learning_gap_truth"]["live_db_read_enabled"] is False
|
||||
assert data["learning_gap_truth"]["playbook_trust_write_enabled"] is False
|
||||
assert data["learning_gap_truth"]["km_write_enabled"] is False
|
||||
assert data["learning_gap_truth"]["timeline_write_enabled"] is False
|
||||
assert data["learning_gap_truth"]["gateway_queue_write_enabled"] is False
|
||||
assert data["learning_gap_truth"]["telegram_send_enabled"] is False
|
||||
assert data["rollups"]["learning_checkpoint_count"] == 7
|
||||
assert data["rollups"]["covered_by_test_count"] == 4
|
||||
assert data["rollups"]["source_guarded_count"] == 2
|
||||
assert data["rollups"]["blocked_until_live_evidence_count"] == 1
|
||||
assert data["rollups"]["gap_item_count"] == 4
|
||||
assert data["rollups"]["high_severity_gap_count"] == 2
|
||||
assert data["rollups"]["test_contract_count"] == 5
|
||||
assert data["rollups"]["owner_gate_count"] == 3
|
||||
assert data["rollups"]["approval_required_gate_count"] == 3
|
||||
assert data["rollups"]["live_db_read_count"] == 0
|
||||
assert data["rollups"]["playbook_trust_write_count"] == 0
|
||||
assert data["rollups"]["telegram_send_count"] == 0
|
||||
Reference in New Issue
Block a user