fix(coverage_evaluator): KM 欄位修正 ke.body → ke.content + 擴大 title 匹配

實測 df71c9a 部署後 coverage_evaluator 生效:
  - monitoring: 2 hosts match Prometheus targets
  - alerting: 74 筆 (22 green + 52 red)
  - km: 0 (錯誤: column "ke.body" does not exist)

真因: knowledge_entries 表欄位是 'content' 不是 'body'
修復: ke.content ILIKE '%name%' OR ke.title ILIKE '%name%'

同時清 unused import (typing.Any)

下輪 coverage_evaluator tick 將正確 UPDATE auto_km_creation 維度
解鎖完整 3 維 coverage (monitoring/alerting/km)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

apps/api/src/jobs/coverage_evaluator_job.py

@@ -27,7 +27,6 @@ from __future__ import annotations
 import asyncio
 import json as _json
 import time as _time
-from typing import Any
 
 import httpx
 import structlog
@@ -253,27 +252,29 @@ async def _evaluate_alerting(run_id: str) -> int:
 async def _evaluate_km_coverage(run_id: str) -> int:
     """
     asset 有對應 knowledge_entries → green
-    粗略: k8s_workload 看 app/namespace 是否有出現在 knowledge_entries.body.
+
+    2026-04-19 ogt + Claude Opus 4.7 v2 bug fix: knowledge_entries 欄位是 'content',
+    不是 'body' (前次 UndefinedColumnError). 同時加 title 匹配擴大覆蓋.
     """
     from sqlalchemy import text as _sql
     from src.db.base import get_db_context
 
     try:
         async with get_db_context() as db:
-            # 簡化: 只看 k8s_workload 是否有 app:name 字樣出現在 KM 裡
             result = await db.execute(
                 _sql("""
                     UPDATE asset_coverage_snapshot cs
                     SET coverage_status = CASE
                             WHEN ai.asset_type = 'k8s_workload' AND EXISTS (
                                 SELECT 1 FROM knowledge_entries ke
-                                WHERE ke.body ILIKE '%' || ai.name || '%'
+                                WHERE ke.content ILIKE '%' || ai.name || '%'
+                                   OR ke.title ILIKE '%' || ai.name || '%'
                             ) THEN 'green'
                             WHEN ai.asset_type = 'k8s_workload' THEN 'yellow'
                             ELSE cs.coverage_status
                         END,
                         evidence = jsonb_build_object(
-                            'source', 'knowledge_entries_substring_match',
+                            'source', 'knowledge_entries_content_or_title_match',
                             'asset_name', ai.name
                         )
                     FROM asset_inventory ai