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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@@ -18,6 +18,12 @@ import logging
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from datetime import datetime, timedelta, timezone
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from app.database import get_connection
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from app.services.runtime_context import (
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LIVE_INSTANCE_ID,
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MODE_LIVE,
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MODE_SANDBOX,
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get_runtime_context,
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)
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logger = logging.getLogger(__name__)
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@@ -39,6 +45,14 @@ CACHE_MAX_PER_APP = 20_000
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class AICacheService:
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"""AI 缓存读写服务。"""
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@staticmethod
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def _runtime_scope(site_id: int, target_id: str, conn) -> tuple[str, str, str]:
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"""返回运行模式、实例 ID 和实际 cache target_id。"""
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ctx = get_runtime_context(site_id, conn=conn)
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if ctx.is_sandbox and ctx.sandbox_instance_id:
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return MODE_SANDBOX, ctx.sandbox_instance_id, f"{ctx.sandbox_instance_id}:{target_id}"
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return MODE_LIVE, LIVE_INSTANCE_ID, target_id
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def get_latest(
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self,
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cache_type: str,
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@@ -52,6 +66,9 @@ class AICacheService:
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"""
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conn = get_connection()
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try:
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runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
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site_id, target_id, conn
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)
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with conn.cursor() as cur:
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cur.execute(
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"""
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@@ -60,12 +77,14 @@ class AICacheService:
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created_at, expires_at, status
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FROM biz.ai_cache
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WHERE cache_type = %s AND site_id = %s AND target_id = %s
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AND COALESCE(runtime_mode, 'live') = %s
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AND COALESCE(sandbox_instance_id, 'live') = %s
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AND (status = 'valid' OR status IS NULL)
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AND (expires_at IS NULL OR expires_at > now())
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ORDER BY created_at DESC
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LIMIT 1
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""",
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(cache_type, site_id, target_id),
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(cache_type, site_id, scoped_target_id, runtime_mode, sandbox_instance_id),
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)
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columns = [desc[0] for desc in cur.description]
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row = cur.fetchone()
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@@ -88,6 +107,9 @@ class AICacheService:
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"""
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conn = get_connection()
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try:
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runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
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site_id, target_id, conn
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)
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with conn.cursor() as cur:
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cur.execute(
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"""
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@@ -96,10 +118,12 @@ class AICacheService:
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created_at, expires_at
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FROM biz.ai_cache
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WHERE cache_type = %s AND site_id = %s AND target_id = %s
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AND COALESCE(runtime_mode, 'live') = %s
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AND COALESCE(sandbox_instance_id, 'live') = %s
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ORDER BY created_at DESC
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LIMIT %s
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""",
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(cache_type, site_id, target_id, limit),
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(cache_type, site_id, scoped_target_id, runtime_mode, sandbox_instance_id, limit),
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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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@@ -128,23 +152,29 @@ class AICacheService:
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conn = get_connection()
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try:
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runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
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site_id, target_id, conn
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)
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with conn.cursor() as cur:
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cur.execute(
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"""
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INSERT INTO biz.ai_cache
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(cache_type, site_id, target_id, result_json,
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triggered_by, score, expires_at, status)
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VALUES (%s, %s, %s, %s, %s, %s, %s, 'valid')
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triggered_by, score, expires_at, status,
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runtime_mode, sandbox_instance_id)
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VALUES (%s, %s, %s, %s, %s, %s, %s, 'valid', %s, %s)
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RETURNING id
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""",
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(
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cache_type,
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site_id,
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target_id,
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scoped_target_id,
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json.dumps(result_json, ensure_ascii=False),
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triggered_by,
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score,
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expires_at,
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runtime_mode,
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sandbox_instance_id,
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),
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)
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row = cur.fetchone()
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@@ -158,7 +188,7 @@ class AICacheService:
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# 写入成功后清理超限记录
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try:
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deleted = self._cleanup_excess(cache_type, site_id, target_id)
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deleted = self._cleanup_excess(cache_type, site_id, scoped_target_id)
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if deleted > 0:
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logger.info(
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"清理超限缓存: cache_type=%s site_id=%s target_id=%s 删除=%d",
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@@ -183,15 +213,19 @@ class AICacheService:
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"""写入 generating 状态占位记录，返回 id。完成后调用 finalize_cache 更新。"""
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conn = get_connection()
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try:
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runtime_mode, sandbox_instance_id, scoped_target_id = self._runtime_scope(
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site_id, target_id, conn
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)
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with conn.cursor() as cur:
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cur.execute(
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"""
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INSERT INTO biz.ai_cache
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(cache_type, site_id, target_id, result_json, status, triggered_by)
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VALUES (%s, %s, %s, '{}', 'generating', %s)
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(cache_type, site_id, target_id, result_json, status, triggered_by,
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runtime_mode, sandbox_instance_id)
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VALUES (%s, %s, %s, '{}', 'generating', %s, %s, %s)
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RETURNING id
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""",
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(cache_type, site_id, target_id, triggered_by),
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(cache_type, site_id, scoped_target_id, triggered_by, runtime_mode, sandbox_instance_id),
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)
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row = cur.fetchone()
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conn.commit()
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