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feat(auto-repair): 所有操作強制寫入 DB — auto_repair_executions 表
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統帥指令: 所有自動修復操作（成功/失敗）必須持久化

變更:
- migrations/phase10_auto_repair_executions.sql: 新增表 + 4 個索引
- db/models.py: 新增 AutoRepairExecution SQLAlchemy model
- repositories/audit_log_repository.py: 新增 AutoRepairExecutionRepository (create/list_by_incident/get_stats)
- auto_repair_service.py: execute_auto_repair 成功/失敗分支都寫入 DB
  - 新增 similarity_score 參數傳遞
  - AutoRepairDecision 新增 similarity_score 欄位
- webhooks.py: 傳入 similarity_score 到 execute_auto_repair

已執行 migration: awoooi_prod@192.168.0.188:5432 ✅

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
OG T
2026-04-08 11:16:37 +08:00
parent 68a2fff746
commit eee6f06215
5 changed files with 218 additions and 3 deletions
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45
apps/api/src/services/auto_repair_service.py
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@@ -63,6 +63,8 @@ class AutoRepairDecision:
blocked_by: str | None = None # 阻擋原因 (如 HIGH_RISK, P1_SEVERITY)
# 2026-04-07 Claude Code: Sprint 4 B2 — 追蹤首次信任
is_cold_start: bool = False
# 2026-04-08 Claude Code: 傳入 execute_auto_repair 供 DB 記錄
similarity_score: float | None = None
@dataclass
@@ -280,9 +282,10 @@ class AutoRepairService:
return AutoRepairDecision(
can_auto_repair=True,
playbook=best_match.playbook,
reason=f"匹配高品質 Playbook: {best_match.playbook.name} (成功率 {best_match.playbook.success_rate:.0%})",
reason=f"匹配 Playbook: {best_match.playbook.name} (相似度 {best_match.similarity_score:.0%})",
risk_level=max_risk,
is_cold_start=_is_cold_start,
similarity_score=best_match.similarity_score,
)
async def execute_auto_repair(
@@ -290,13 +293,14 @@ class AutoRepairService:
incident: Incident,
playbook: Playbook,
is_cold_start: bool = False,
similarity_score: float | None = None,
) -> AutoRepairResult:
"""
執行自動修復
流程:
1. 依序執行 Playbook 中的 repair_steps
2. 記錄執行結果
2. 記錄執行結果到 DB (auto_repair_executions)
3. 更新 Playbook 統計
4. 記錄處置類型 (Sprint 4 B1/B2)
"""
@@ -351,6 +355,24 @@ class AutoRepairService:
execution_time_ms=execution_time,
)
# 2026-04-08 Claude Code: 統帥指令「所有操作都必須被記錄，寫入資料庫」
try:
from src.repositories.audit_log_repository import get_auto_repair_execution_repository
max_risk = self._get_max_risk_level(playbook)
await get_auto_repair_execution_repository().create(
incident_id=incident.incident_id,
playbook_id=playbook.playbook_id,
playbook_name=playbook.name,
success=True,
executed_steps=executed_steps,
triggered_by="cold_start_trust" if is_cold_start else "auto_repair",
similarity_score=similarity_score,
risk_level=max_risk.value if max_risk else None,
execution_time_ms=execution_time,
)
except Exception as _db_e:
logger.error("auto_repair_db_write_failed", error=str(_db_e))
# 2026-04-07 Claude Code: Sprint 4 B1/B2 — 記錄處置類型
# P0-1 Fix: 統一使用 AnomalyCounter.hash_signature()
try:
@@ -407,6 +429,25 @@ class AutoRepairService:
execution_time_ms=execution_time,
)
# 2026-04-08 Claude Code: 失敗也必須寫入 DB
try:
from src.repositories.audit_log_repository import get_auto_repair_execution_repository
max_risk = self._get_max_risk_level(playbook)
await get_auto_repair_execution_repository().create(
incident_id=incident.incident_id,
playbook_id=playbook.playbook_id,
playbook_name=playbook.name,
success=False,
executed_steps=executed_steps,
error_message=str(e),
triggered_by="cold_start_trust" if is_cold_start else "auto_repair",
similarity_score=similarity_score,
risk_level=max_risk.value if max_risk else None,
execution_time_ms=execution_time,
)
except Exception as _db_e:
logger.error("auto_repair_db_write_failed", error=str(_db_e))
# 2026-04-04 Claude Code: Phase 25 P1 — 失敗修復後 fire-and-forget 生成 ANTI_PATTERN
# 2026-04-05 Claude Code: I1 修正 — 補齊 _pending_tasks GC 防護（對稱化）
try: