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
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@@ -58,10 +58,16 @@ def _fetch_assistant_info_sync(site_id: int, assistant_id: int) -> dict[str, Any
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conn = get_etl_readonly_connection(site_id)
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# RLS 隔离 + 语句超时(get_etl_readonly_connection 的 SET LOCAL 在 commit 后失效,
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# 需在查询事务中重新设置)
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# CHANGE 2026-05-02 | 同时下发 app.current_business_date,供 RLS 视图业务日上界裁剪
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from app.services.runtime_context import as_runtime_today_param as _rt_today
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_ref_date = _rt_today(site_id)
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with conn.cursor() as cur:
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cur.execute(
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"SET LOCAL app.current_site_id = %s", (str(site_id),)
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)
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cur.execute(
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"SET LOCAL app.current_business_date = %s", (_ref_date.isoformat(),)
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)
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cur.execute(
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"SET LOCAL statement_timeout = %s",
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(f"{FDW_QUERY_TIMEOUT_SEC * 1000}",),
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@@ -86,11 +92,12 @@ def _fetch_assistant_info_sync(site_id: int, assistant_id: int) -> dict[str, Any
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level = row[1] or ""
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hire_date = row[2]
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# 计算工龄
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# 计算工龄(CHANGE 2026-05-02 | 用 business_date 替代 today,沙箱按当时工龄)
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from app.services.runtime_context import as_runtime_today_param
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ref_date = as_runtime_today_param(site_id)
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tenure_months = 0
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if hire_date and isinstance(hire_date, date):
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today = date.today()
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tenure_months = (today.year - hire_date.year) * 12 + (today.month - hire_date.month)
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tenure_months = (ref_date.year - hire_date.year) * 12 + (ref_date.month - hire_date.month)
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# 绩效数据
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# ⚠️ 列名映射: monthly_customers 不存在(用 0 占位),performance_tier→tier_name
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@@ -184,10 +191,16 @@ def _fetch_service_history_sync(
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conn = get_etl_readonly_connection(site_id)
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# RLS 隔离 + 语句超时(get_etl_readonly_connection 的 SET LOCAL 在 commit 后失效,
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# 需在查询事务中重新设置)
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# CHANGE 2026-05-02 | 同时下发 app.current_business_date,供 RLS 视图业务日上界裁剪
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from app.services.runtime_context import as_runtime_today_param as _rt_today2
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_ref_date_outer = _rt_today2(site_id)
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with conn.cursor() as cur:
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cur.execute(
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"SET LOCAL app.current_site_id = %s", (str(site_id),)
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)
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cur.execute(
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"SET LOCAL app.current_business_date = %s", (_ref_date_outer.isoformat(),)
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)
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cur.execute(
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"SET LOCAL statement_timeout = %s",
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(f"{FDW_QUERY_TIMEOUT_SEC * 1000}",),
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@@ -197,6 +210,9 @@ def _fetch_service_history_sync(
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# is_trash=false→is_delete=0, service_date→create_time,
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# duration_minutes→real_use_seconds/60, items_sum→ledger_amount,
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# room_name→site_table_id, is_pd→(order_assistant_type=1)
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# CHANGE 2026-05-02 | 用 business_date 替代 CURRENT_DATE,沙箱不读「未来」服务记录
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from app.services.runtime_context import as_runtime_today_param
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ref_date = as_runtime_today_param(site_id)
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cur.execute(
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"""
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SELECT
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@@ -209,10 +225,11 @@ def _fetch_service_history_sync(
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WHERE site_assistant_id = %s
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AND tenant_member_id = %s
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AND is_delete = 0
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AND create_time >= (CURRENT_DATE - INTERVAL '%s months')
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AND create_time >= (%s::date - (INTERVAL '1 month' * %s))
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AND create_time < (%s::date + INTERVAL '1 day')
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ORDER BY create_time DESC
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""",
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(assistant_id, member_id, months),
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(assistant_id, member_id, ref_date, months, ref_date),
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)
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columns = [desc[0] for desc in cur.description]
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rows = cur.fetchall()
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