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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@@ -218,9 +218,10 @@ async def chat_stream(
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try:
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from app.ai.data_fetchers import build_page_text
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filters = {}
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if body.page_context:
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filters = body.page_context
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# W1-AI-CLOSURE 复盘修正:必须 dict() 浅拷贝,否则 filters.pop("contextId")
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# 会破坏 body.page_context(同引用),导致后续 reference_card 块
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# 拿不到 contextId(返回 None,跳过 KPI 富卡构建)。
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filters = dict(body.page_context) if body.page_context else {}
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context_id = filters.pop("contextId", None)
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page_text = await build_page_text(
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source_page=body.source_page,
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@@ -266,14 +267,34 @@ async def chat_stream(
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full_reply = "".join(full_reply_parts)
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estimated_tokens = len(full_reply)
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# Phase 1.3:assistant 消息挂 reference_card(若用户从特定详情页入口发起对话)
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# Phase 1.3 + W1-AI-CLOSURE 组 4(P0-15):assistant 消息挂 reference_card。
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# customer-detail / customer-service-records 入口走 KPI 富卡(余额/30 天消费/到店),
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# 其他入口走简单跳转链接卡(保持现状)。
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try:
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from app.ai.references import build_app1_reference_card
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_ref_card = None
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_pc = body.page_context or {}
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_ctx_id = _pc.get("contextId") or _pc.get("taskId") or _pc.get("customerId") or _pc.get("coachId")
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_ctx_id = (
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_pc.get("contextId")
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or _pc.get("taskId")
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or _pc.get("customerId")
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or _pc.get("coachId")
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)
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if body.source_page and _ctx_id:
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_ref_card = build_app1_reference_card(body.source_page, _ctx_id)
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if body.source_page in ("customer-detail", "customer-service-records"):
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try:
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_customer_id = int(_ctx_id)
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_ref_card = svc.build_reference_card(_customer_id, user.site_id)
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if _ref_card:
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_ref_card.setdefault(
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"link",
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f"/pages/customer-detail/customer-detail?customerId={_ctx_id}",
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)
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_ref_card.setdefault("source_page", body.source_page)
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except (ValueError, TypeError):
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_ref_card = None
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if _ref_card is None:
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_ref_card = build_app1_reference_card(body.source_page, _ctx_id)
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except Exception:
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logger.warning("构建 reference_card 失败", exc_info=True)
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_ref_card = None
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