feat(ai): W1-AI-CLOSURE 超级 Sprint — 9 APP 全链路收口 + chat 上下文真激活
Phase 2.3 chat 上下文捕获链路从未真正激活到完整工作: - 14 处 ai-float-button 补 sourcePage,chat.ts 三分支同步设 pageFilters.contextId - 后端 page_context 4 层 BUG 修(列名错位 + RLS site_id 未重设) - xcx_chat filters.pop 破坏 body.page_context 引用 — dict() 浅拷贝隔离 - chat 流式 markdown 实时解析(表格/标题/列表/加粗 + KPI 富卡) - reference_card KPI 富卡接入 SSE 路径,db 真写入 - 维客线索 source 显示规则:AI 来源用机器人 icon 替代长文字 数据库: - public.member_retention_clue 加 emoji + runtime_mode + sandbox_instance_id - biz.ai_run_logs 加 assistant_id + 复合索引 - chk_ai_cache_type CHECK 约束 8 类应用名 - cache_type / app_type 命名统一(app6_note / app7_customer / app8_consolidation) - 历史 emoji 抽取脚本 44/44 成功 后端 silent failure 修: - cleanup_service WHERE app_type → cache_type(90 天清理 + 20K 上限重新生效) - _build_ai_insight 字段错位修复(app4 → app7 + 字段对齐 prompt schema) - task_manager talkingPoints 改 app5_tactics + tactics 字段 - task_manager aiSuggestion 改取 one_line_summary - cache_service.CACHE_EXPIRY_DAYS 加 app2a_finance_area - WS /ws/ai-cache 加 token + JWT + site_id 校验(P0 信息泄露漏洞) - internal_ai token 改 hmac.compare_digest 工具/文档: - main.py 加 RotatingFileHandler logs/backend.log + uvicorn /health 过滤 - 新建 utils/clue_category.py(VI 6 类配色 + emoji fallback + source 显示规则) - 新建 utils/markdown.ts(轻量 md 转 rich-text 解析 + streaming 容错) - audit + 数据库变更说明 + backlog §七 #14 收口 + #15-#38 残余子任务 - backlog 追加 §十一 App1 参数/MCP/沙箱审计 + §十二 百炼/SQL MCP 主任务线 实地 MCP 走查:14 入口数据层 + 5 代表入口 sourcePage 注入 + customer-detail 全模块 + chat md 渲染 + reference_card 富卡 都已验证。9 项预先 BUG/UX 登记 §七 #29-#38 后续修复。 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -143,13 +143,13 @@ async def get_customer_detail(customer_id: int, site_id: int) -> dict:
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# ── 扩展模块(独立 try/except 优雅降级)──
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try:
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ai_insight = _build_ai_insight(customer_id, conn)
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ai_insight = _build_ai_insight(customer_id, site_id, conn)
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except Exception:
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logger.warning("构建 aiInsight 失败,降级为空", exc_info=True)
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ai_insight = {"summary": "", "strategies": []}
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try:
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retention_clues = _build_retention_clues(customer_id, conn)
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retention_clues = _build_retention_clues(customer_id, site_id, conn)
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except Exception:
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logger.warning("构建 retentionClues 失败,降级为空列表", exc_info=True)
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retention_clues = []
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@@ -223,24 +223,29 @@ async def get_customer_detail(customer_id: int, site_id: int) -> dict:
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# ── 3.2 AI 洞察 / 维客线索 / 备注 ──────────────────────────
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def _build_ai_insight(customer_id: int, conn) -> dict:
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def _build_ai_insight(customer_id: int, site_id: int, conn) -> dict:
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"""
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构建 aiInsight 模块。
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构建 aiInsight 模块(来自 App7 客户分析缓存)。
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查询 biz.ai_cache WHERE cache_type='app4_analysis' AND target_id=customerId,
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解析 result_json JSON。无缓存时返回空默认值。
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查询 biz.ai_cache WHERE cache_type='app7_customer' AND target_id=customerId
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AND site_id=site_id。无缓存时返回空默认值。
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App7Result schema: {strategies: [{title, content}], summary: str}
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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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SELECT result_json
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FROM biz.ai_cache
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WHERE cache_type = 'app4_analysis'
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WHERE cache_type = 'app7_customer'
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AND site_id = %s
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AND target_id = %s
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AND COALESCE(status, 'valid') = 'valid'
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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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(str(customer_id),),
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(site_id, str(customer_id)),
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)
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row = cur.fetchone()
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@@ -255,37 +260,69 @@ def _build_ai_insight(customer_id: int, conn) -> dict:
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summary = data.get("summary", "")
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strategies_raw = data.get("strategies", [])
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strategies = []
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# App7Result schema: strategies = [{title, content}],但前端 demo 标杆 wxml 用单
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# 字段 text(`{{item.text}}`)。在 service 层拼接成 demo 形态,前端保持 demo 一致。
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for s in strategies_raw:
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if isinstance(s, dict):
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strategies.append({
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"color": s.get("color", ""),
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"text": s.get("text", ""),
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})
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t = (s.get("title") or "").strip()
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c = (s.get("content") or "").strip()
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text = f"{t}:{c}" if t and c else (c or t)
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strategies.append({"text": text})
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return {"summary": summary, "strategies": strategies}
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def _build_retention_clues(customer_id: int, conn) -> list[dict]:
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def _build_retention_clues(customer_id: int, site_id: int, conn) -> list[dict]:
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"""
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构建 retentionClues 模块。
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查询 public.member_retention_clue,按 recorded_at 倒序。
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查询 public.member_retention_clue(含 emoji 独立列、source、detail),
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按 recorded_at 倒序,跨 source(manual / ai_consumption / ai_note)合并。
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返回字段对齐 clue-card 组件契约 + xcx_customers.RetentionClue schema:
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{tag, tag_color, emoji, text, source, desc}
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"""
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# CHANGE 2026-03-23 | BUG: clue_type/clue_text 列不存在,应为 category/summary;created_at → recorded_at
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from app.utils.clue_category import (
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CATEGORY_TAG_COLOR,
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SOURCE_DISPLAY_NAME,
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format_category_tag,
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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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SELECT category, summary
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SELECT category, summary, detail, emoji, source, recorded_by_name
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FROM public.member_retention_clue
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WHERE member_id = %s
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AND site_id = %s
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AND is_hidden = false
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ORDER BY recorded_at DESC
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""",
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(customer_id,),
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(customer_id, site_id),
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)
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rows = cur.fetchall()
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return [{"type": r[0] or "", "text": r[1] or ""} for r in rows]
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result: list[dict] = []
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for category, summary, detail, emoji, source, recorded_by_name in rows:
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category_str = category or ""
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# source 显示规则(用户拍板:AI 来源用统一短标识 "AI",前端渲染 AI icon):
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# - ai_consumption / ai_note → "AI"(舍弃 providers 详细文字,前端用 icon)
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# - manual + recorded_by_name 非空 → 姓名(如"小燕")
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# - manual + 空 → "系统"
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src = source or "manual"
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if src in ("ai_consumption", "ai_note"):
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display_source = "AI"
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else:
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display_source = recorded_by_name or SOURCE_DISPLAY_NAME.get(src, "系统")
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result.append({
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"tag": format_category_tag(category_str),
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"tag_color": CATEGORY_TAG_COLOR.get(category_str, "primary"),
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"emoji": emoji or "",
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"text": summary or "",
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"source": display_source,
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"desc": detail or "",
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})
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return result
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NOTE_TYPE_LABELS = {"normal": "备注", "follow_up": "回访", "system": "系统", "ai": "AI"}
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