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/ai/prompts/app3_clue_prompt.py

@@ -0,0 +1,131 @@
+"""应用 3 客户数据维客线索分析 Prompt 拼装。
+
+消费事件触发，从客户消费数据提取维客线索。
+- 数据源：fetch_member_consumption_data（DWS）
+- 金额口径：items_sum（禁止 consume_money）
+- 线索 category：客户基础 / 消费习惯 / 玩法偏好（3 选 1）
+- 线索 providers 统一为"系统"
+- system prompt 在百炼控制台配置，本模块只拼数据上下文 JSON
+
+返回：单个 prompt 字符串（直接传给 Application.call）。
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+from typing import Any
+
+from app.ai.cache_service import AICacheService
+from app.ai.data_fetchers import fetch_member_consumption_data
+from app.ai.schemas import CacheTypeEnum
+from app.services.runtime_context import as_runtime_business_now_str
+
+logger = logging.getLogger(__name__)
+
+# prompt 观测阈值：历史上 4000 字会触发裁剪；现保留完整消费明细，仅用于测试/审计参考
+_MAX_PROMPT_LEN = 4000
+
+
+async def build_prompt(
+    context: dict,
+    cache_svc: AICacheService | None = None,
+) -> str:
+    """构建 App3 prompt 字符串。
+
+    Args:
+        context: site_id, member_id
+        cache_svc: 缓存服务，用于读取 reference 历史数据
+
+    Returns:
+        JSON 序列化后的 prompt 字符串
+    """
+    site_id = context["site_id"]
+    member_id = context["member_id"]
+
+    # 数据获取（失败降级）
+    fetch_failed = False
+    try:
+        member_data = await fetch_member_consumption_data(site_id, member_id)
+    except Exception:
+        logger.warning(
+            "App3 消费数据获取失败: site_id=%s member_id=%s",
+            site_id, member_id, exc_info=True,
+        )
+        member_data = _default_member_data()
+        fetch_failed = True
+
+    consumption_records = member_data.get("consumption_records") or []
+    if not consumption_records:
+        consumption_records = (
+            "⚠ 消费数据获取失败，该客户暂无消费记录可供分析"
+            if fetch_failed else "该客户暂无消费记录"
+        )
+
+    payload: dict[str, Any] = {
+        "current_time": as_runtime_business_now_str(site_id, fmt="%Y-%m-%d %H:%M"),
+        "member_id": member_id,
+        "member_nickname": member_data.get("member_nickname", ""),
+        "main_data": {
+            "consumption_records": consumption_records,
+            "member_cards": member_data.get("member_cards", []),
+            "card_balance_total": member_data.get("card_balance_total", 0),
+            "stored_value_balance_total": member_data.get("stored_value_balance_total", 0),
+            "expected_visit_date": member_data.get("expected_visit_date"),
+            "days_since_last_visit": member_data.get("days_since_last_visit"),
+        },
+        "reference": _build_reference(site_id, member_id, cache_svc),
+    }
+
+    # 完整明细策略：App3 需要尽量保留消费行为模式，不在本地裁剪消费记录。
+    # 真实 App3 完整 100 条明细调用已验证可在 180s 单步超时内返回。
+    text = json.dumps(payload, ensure_ascii=False, default=str)
+    return text
+
+
+def _default_member_data() -> dict:
+    return {
+        "member_nickname": "",
+        "consumption_records": [],
+        "member_cards": [],
+        "card_balance_total": 0,
+        "stored_value_balance_total": 0,
+        "expected_visit_date": None,
+        "days_since_last_visit": None,
+    }
+
+
+def _build_reference(
+    site_id: int,
+    member_id: int,
+    cache_svc: AICacheService | None,
+) -> dict:
+    """组装参考字段：App6 备注线索最新 + App8 历史最近 2 条。"""
+    if cache_svc is None:
+        return {}
+
+    ref: dict = {}
+    target_id = str(member_id)
+
+    app6_latest = cache_svc.get_latest(
+        CacheTypeEnum.APP6_NOTE_ANALYSIS.value, site_id, target_id,
+    )
+    if app6_latest:
+        ref["app6_note_clues"] = {
+            "result_json": app6_latest.get("result_json"),
+            "generated_at": app6_latest.get("created_at"),
+        }
+
+    app8_history = cache_svc.get_history(
+        CacheTypeEnum.APP8_CLUE_CONSOLIDATED.value, site_id, target_id, limit=2,
+    )
+    if app8_history:
+        ref["app8_history"] = [
+            {
+                "result_json": h.get("result_json"),
+                "generated_at": h.get("created_at"),
+            }
+            for h in app8_history
+        ]
+
+    return ref