feat: 트렌드 워크스페이스(ECharts) 추가 + 이벤트히스토리 sub_area 정렬

트렌드 P1 (Tab 17 "트렌드"):
- 단일 ECharts 차트 슬롯구조(trState/TR_LAYERS/trRender) — P2/P3 무중단 증분 기반
- 기능: 그룹빌더(realtime 아날로그 클릭선택)/멀티시리즈·이중축/dataZoom(좌우날짜)/
  범례표(색변경·행클릭 강조·보이는구간 통계)/보이는범위 minmax 마커/라이브 현재값/
  트립·이벤트 오버레이(/api/event-history 재사용)/100%환산/Y줌
- 백엔드: trend_group 테이블 + v_analog_points 뷰(숫자 livevalue=아날로그) +
  TrendService/TrendController(/api/trend: analog-points·groups CRUD·live) + DI
- echarts 5.5.1 로컬 번들, DTO는 [JsonPropertyName]로 camelCase 고정

이벤트히스토리 sub_area 정렬(컬럼 일치):
- event_history_table section → sub_area (DDL/인덱스/엔티티/DTO/서비스/컨트롤러/evt UI/MCP/프롬프트)
- 이력 조회 PIVOT 재작성(MAX/CASE), ft.category '계기' → 'instrument'

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

mcp-server/server.py

@@ -1622,7 +1622,7 @@ async def query_events(
 
         sql = f"""
             SELECT id, tagname, prev_value, curr_value, event_type, event_time,
-                   area, section, duration_seconds, metadata
+                   area, sub_area, duration_seconds, metadata
             FROM event_history_table
             WHERE {' AND '.join(where)}
             ORDER BY event_time DESC
@@ -1638,7 +1638,7 @@ async def query_events(
         events = [
             {"id": r[0], "tag_name": r[1], "prev_value": r[2], "curr_value": r[3],
              "event_type": r[4], "event_time": r[5].isoformat() if r[5] else None,
-             "area": r[6], "section": r[7],              "prev_state_duration_s": r[8], "metadata": r[9]}
+             "area": r[6], "sub_area": r[7],             "prev_state_duration_s": r[8], "metadata": r[9]}
             for r in rows
         ]
         return json.dumps({
@@ -1678,13 +1678,13 @@ async def active_alarms(area: str | None = None, limit: int = 100) -> str:
             WITH latest AS (
               SELECT DISTINCT ON (tagname)
                      id, tagname, curr_value, event_type, event_time,
-                     area, section, duration_seconds, metadata
+                     area, sub_area, duration_seconds, metadata
               FROM event_history_table
               WHERE event_time >= NOW() - INTERVAL '30 days'
               ORDER BY tagname, event_time DESC
             )
             SELECT id, tagname, curr_value, event_type, event_time,
-                   area, section, duration_seconds, metadata,
+                   area, sub_area, duration_seconds, metadata,
                    EXTRACT(EPOCH FROM (NOW() - event_time))::bigint AS age_seconds
             FROM latest
             WHERE event_type IN ('ALARM', 'TRIP')
@@ -1700,7 +1700,7 @@ async def active_alarms(area: str | None = None, limit: int = 100) -> str:
         alarms = [
             {"id": r[0], "tag_name": r[1], "curr_value": r[2], "event_type": r[3],
              "since": r[4].isoformat() if r[4] else None,
-             "area": r[5], "section": r[6], "prev_state_duration_s": r[7], "metadata": r[8],
+             "area": r[5], "sub_area": r[6], "prev_state_duration_s": r[7], "metadata": r[8],
              "age_seconds": r[9]}
             for r in rows
         ]