feat: 2026-04-15~05-02 累积变更基线 — AI 重构 + Runtime Context + DWS 修复

涵盖（每条对应已存的审计记录）：
- AI 模块拆分：apps/backend/app/ai/apps -> prompts/（8 个 APP + app2a 派生）
  audit: 2026-04-20__ai-module-complete.md
- admin-web AI 管理套件：AIDashboard / AIOperations / AIRunLogs / AITriggers / TriggerManager
  audit: 2026-04-21__admin-web-ai-management-suite.md
- App2 财务洞察 prompt v3 -> v5.1 + 小程序 AI 接入（chat / board-finance）
  audit: 2026-04-22__app2_prompt_v5_1_and_miniprogram_ai_insight.md
- App2 prewarm 全过滤器 + AI 触发器 cron reschedule
  audit: 2026-04-21__app2-finance-prewarm-all-filters.md
  migration: 20260420_ai_trigger_jobs_and_app2_prewarm.sql / 20260421_app2_prewarm_cron_reschedule.sql
- AppType 联合类型对齐 + adminAiAppTypes.test.ts
  audit: 2026-04-30__admin_web_ai_app_type_alignment.md
- DashScope tokens_used 提取修复
  audit: 2026-04-30__backend_dashscope_tokens_used_extraction.md
- App3 线索完整详情 prompt
  audit: 2026-05-01__backend_app3_full_detail_prompt.md
- Runtime Context 沙箱（5-1~5-2 主线）：
  - 后端 schema/service + admin_runtime_context / xcx_runtime_clock 两个 router
  - admin-web RuntimeContext.tsx + miniprogram runtime-clock.ts
  - migration: 20260501__runtime_context_sandbox.sql
  - tools/db/verify_admin_web_sandbox.py + verify_sandbox_end_to_end.py
  - database/changes: 7 份 sandbox_* 验证报告
- 飞球 DWS 修复：finance_area_daily 区域汇总 + task_engine 调整
  + RLS 视图业务日上界（migration 20260502 + scripts/ops/gen_rls_business_date_migration.py）

合规：
- .gitignore 启用 tmp/ 排除
- 不入仓：apps/etl/connectors/feiqiu/.env（API_TOKEN secret，本地修改保留）

待验证清单：
- docs/audit/changes/2026-05-04__cumulative_baseline_pending_verification.md
  每个主题的功能完整性 / 上线验证几乎都未收口，按优先级 P0~P3 逐一处理

apps/backend/app/services/task_generator.py

@@ -41,6 +41,13 @@ from dataclasses import dataclass
 from enum import IntEnum
 
 from app.trace.decorators import trace_service
+from app.services.runtime_context import (
+    LIVE_INSTANCE_ID,
+    MODE_LIVE,
+    MODE_SANDBOX,
+    get_runtime_context,
+    task_runtime_filter,
+)
 
 
 class TaskPriority(IntEnum):
@@ -189,6 +196,14 @@ import logging
 logger = logging.getLogger(__name__)
 
 
+def _runtime_values(conn, site_id: int):
+    """返回当前门店任务写入所需的运行上下文值。"""
+    ctx = get_runtime_context(site_id, conn=conn)
+    mode = MODE_SANDBOX if ctx.is_sandbox else MODE_LIVE
+    instance_id = ctx.sandbox_instance_id if ctx.is_sandbox else LIVE_INSTANCE_ID
+    return ctx, mode, instance_id, ctx.business_now
+
+
 def _get_connection():
     """延迟导入 get_connection，避免纯函数测试时触发模块级导入失败。"""
     from app.database import get_connection
@@ -210,7 +225,10 @@ def run() -> dict:
 
     返回: {"created": int, "replaced": int, "skipped": int, "transferred": int}
     """
+    from datetime import datetime, timezone
+
     stats = {"created": 0, "replaced": 0, "skipped": 0, "transferred": 0}
+    run_started_at = datetime.now(timezone.utc)
 
     conn = _get_connection()
     try:
@@ -265,6 +283,14 @@ def run() -> dict:
             )
         conn.commit()
 
+        # ── 6. 触发 AI 消费事件 — 对本次 run 新建的任务逐个触发 ai_consumption_settled
+        # 仅按 created_at >= run_started_at 过滤（精确锁定本次新建），避免误触发历史任务。
+        # dispatcher 内部按 (event, member_id, site_id, date) 去重，重复触发无害。
+        try:
+            _fire_ai_consumption_events(conn, run_started_at)
+        except Exception:
+            logger.exception("ai_consumption_settled 事件触发失败（不影响任务生成主流程）")
+
     finally:
         conn.close()
 
@@ -278,6 +304,54 @@ def run() -> dict:
     return stats
 
 
+def _fire_ai_consumption_events(conn, run_started_at) -> None:
+    """查询本次 run 新建的任务，对每条 (site_id, member_id, assistant_id) 触发 ai_consumption_settled。
+
+    has_assistant 恒为 True（任务必然绑定助教）。
+    dispatcher 去重确保每 member 每天 AI 链路至多跑一次。
+    """
+    from app.services.trigger_scheduler import fire_event
+
+    with conn.cursor() as cur:
+        cur.execute(
+            """
+            SELECT DISTINCT site_id, member_id, assistant_id
+            FROM biz.coach_tasks
+            WHERE created_at >= %s
+              AND member_id IS NOT NULL
+              AND assistant_id IS NOT NULL
+            """,
+            (run_started_at,),
+        )
+        pairs = cur.fetchall()
+    conn.commit()
+
+    triggered = 0
+    for row in pairs:
+        site_id, member_id, assistant_id = row[0], row[1], row[2]
+        try:
+            fire_event(
+                "ai_consumption_settled",
+                {
+                    "site_id": site_id,
+                    "member_id": member_id,
+                    "assistant_id": assistant_id,
+                    "has_assistant": True,
+                },
+            )
+            triggered += 1
+        except Exception:
+            logger.exception(
+                "触发 ai_consumption_settled 失败: site_id=%s member_id=%s",
+                site_id, member_id,
+            )
+
+    logger.info(
+        "ai_consumption_settled 触发完成: 新建任务去重后 %d 个 member，成功触发 %d 次",
+        len(pairs), triggered,
+    )
+
+
 def _run_for_site(conn, site_id: int, stats: dict) -> None:
     """
     单门店处理流程。
@@ -766,9 +840,10 @@ def _run_transfer_check(
     w_ms = params["transfer_score_w_ms"]
     w_ml = params["transfer_score_w_ml"]
 
-    from datetime import datetime, timezone
+    from app.services.runtime_context import as_runtime_now_param
 
-    now = datetime.now(timezone.utc)
+    # 业务时间锚：sandbox 模式下用 business_now，避免按真实时间把已转移很久的任务再算成候选
+    now = as_runtime_now_param(site_id, conn=conn)
 
     for task_id, from_assistant_id, member_id, task_type, transfer_count, created_at in candidates:
         # CHANGE 2026-03-29 | 用升级倍数判定是否触发转移
@@ -805,9 +880,7 @@ def _run_transfer_check(
             )
             entry_dates = {r[0]: r[1] for r in cur.fetchall()}
 
-        from datetime import datetime, timezone, timedelta
-
-        now = datetime.now(timezone.utc)
+        # 沿用上方 business_now，避免「真实今天」的入驻时间保护
         eligible = []
         for a in pool:
             aid = a["assistant_id"]