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Author SHA1 Message Date
iven
3c01754c40 fix(agent): 12 项 agent 对话链路全栈修复
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深端到端验证发现 12 个问题,6 Phase 全栈修复:

Phase 5 — 快速 UX 修复:
- #9: SimpleSidebar 添加新对话按钮 (SquarePen + useChatStore)
- #5: 模型列表 JOIN provider_keys 过滤无 API Key 的模型
- #11: AgentOnboardingWizard 焦点领域增加 4 行业选项
  (医疗健康/教育培训/金融财务/法律合规)

Phase 1 — ButlerPanel 记忆修复:
- #2a: MemorySection URI 从 viking://agent/.../memories/ 修正为 agent://.../
- #2b: "立即分析对话"按钮现在触发 extractAndStoreMemories

Phase 2 — FTS5 中文分词:
- #4: FTS5 tokenizer 从 unicode61 切换到 trigram,原生支持 CJK
- 自动迁移:检测旧 unicode61 表并重建索引
- sanitize_fts_query 支持中文引号短语查询

Phase 3 — 跨会话身份持久化:
- #6-8: 重新启用 USER.md 注入系统提示词 (截断前 10 行)

Phase 4 — Agent 面板同步:
- #1,#10: listClones 从 4 字段扩展到完整映射
  (soul/userProfile 解析 nickname/emoji/userName/userRole)
- updateClone 通过 identity 系统同步 nickname→SOUL.md
  和 userName/userRole→USER.md

Phase 6 — Agent 创建容错:
- #12: createFromTemplate 增加 SaaS 不可用 fallback

验证: tsc --noEmit  cargo check 
2026-04-16 09:21:46 +08:00
iven
08af78aa83 docs: 2026-04-16 变更记录 — 参数名修复 + 解密自愈 + 设置清理
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- known-issues.md: 新增 3 条修复记录 (Heartbeat参数/Relay解密/设置清理)
- log.md: 追加 2026-04-16 变更日志
2026-04-16 08:06:02 +08:00
iven
b69dc6115d fix(relay): API Key 解密失败自愈 — 启动迁移 + 容错跳过
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根因: select_best_key 遇到解密失败时直接 500 返回,
不会尝试下一个 key。如果 DB 中有旧的加密格式 key,
整个 relay 请求被阻断。

修复:
- key_pool: 解密失败时 warn + skip 到下一个 key,不再 500
- key_pool: 新增 heal_provider_keys() 启动自愈迁移
  - 逐个尝试解密所有加密 key
  - 解密成功 → 用当前密钥重新加密(幂等)
  - 解密失败 → 标记 is_active=false + warn
- main.rs: 启动时调用自愈迁移(在 TOTP 迁移之后)
2026-04-16 02:40:44 +08:00
iven
7dea456fda chore(settings): 删除用量统计和积分详情页面 — 与订阅计费重复
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UsageStats 和 Credits 功能已被 PricingPage (订阅与计费) 覆盖,
移除冗余页面简化设置导航。
2026-04-16 02:07:39 +08:00
iven
f6c5dd21ce fix(heartbeat): Tauri invoke 参数名修正 snake_case → camelCase
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Tauri 2.x 默认将 Rust snake_case 参数重命名为 camelCase,
前端 invoke 必须使用 camelCase (agentId 而非 agent_id)。

修复 3 处 invoke 调用:
- heartbeat_update_memory_stats (agentId, taskCount, totalEntries, storageSizeBytes)
- heartbeat_record_correction (agentId, correctionType)
- heartbeat_record_interaction (agentId)
2026-04-16 00:03:57 +08:00
iven
47250a3b70 docs: Heartbeat 统一健康系统文档同步 — TRUTH + wiki + CLAUDE.md §13
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- TRUTH.md: Tauri 182→183, React 104→105, lib 85→76
- wiki/index.md: 同步关键数字
- wiki/log.md: 追加 2026-04-15 Heartbeat 变更记录
- CLAUDE.md §13: 更新架构快照 + 最近变更
2026-04-15 23:22:43 +08:00
iven
215c079d29 fix(intelligence): Heartbeat 统一健康系统 — 6处断链修复 + 健康面板 + SaaS自动恢复
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Rust 后端 (heartbeat.rs):
- 告警实时推送: OnceLock<AppHandle> + Tauri emit heartbeat:alert
- 动态间隔: tokio::select! + Notify 替代不可变 interval
- Config 持久化: update_config 写入 VikingStorage
- heartbeat_init 从 VikingStorage 恢复 config
- 移除 dead code (subscribe, HeartbeatCheckFn)
- Memory stats fallback 分层处理

新增 health_snapshot.rs:
- HealthSnapshot Tauri 命令 — 按需查询引擎/记忆状态
- 注册到 lib.rs invoke_handler

前端修复:
- HeartbeatConfig handleSave 同步到 Rust 后端
- App.tsx 读 localStorage 持久化配置 + heartbeat:alert 监听 + toast
- saasStore 降级后指数退避探测恢复 + saas-recovered 事件
- 新增 HealthPanel.tsx 只读健康面板 (4卡片 + 告警列表)
- SettingsLayout 添加 health 导航入口

清理:
- 删除 intelligence-client/ 目录版 (9文件 -1640行, 单文件版是活跃代码)
2026-04-15 23:19:24 +08:00
iven
043824c722 perf(runtime): nl_schedule 正则预编译 — 9个 LazyLock 静态替代每次调用编译
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将 parse_nl_schedule 中 9 个 Regex::new() 从函数内每次调用编译
提升为 std::sync::LazyLock<Regex> 静态变量,首次调用时编译一次,
后续调用直接复用。16 个单元测试全部通过。
2026-04-15 13:34:27 +08:00
iven
bd12bdb62b fix(chat): 定时功能审计修复 — 消除重复解析 + ID碰撞 + 输入补全
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审计发现修复:
- H-01: 存储 ParsedSchedule 避免重复 parse_nl_schedule 调用
- H-03: trigger ID 追加 UUID 片段防止高并发碰撞
- C-02: execute_trigger 验证错误信息明确系统 Hand 必须注册
- M-02: SchedulerService 传递 trigger_name 作为 task_description
- M-01: 添加拦截路径跳过 post_hook 的设计注释
2026-04-15 10:02:49 +08:00
iven
28c892fd31 fix(chat): 聊天定时功能断链接通 — NlScheduleParser + _reminder Hand
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接通"写了没接"的定时功能断链:
- NlScheduleParser has_schedule_intent/parse_nl_schedule 接入 agent_chat_stream
- 新增 _reminder 系统 Hand 作为定时触发器桥接
- TriggerManager hand_id 验证对 _ 前缀系统 Hand 放行
- 聊天消息含定时意图时自动拦截,创建触发器并返回确认消息

验证:cargo check 0 error, 49 tests passed,
Tauri MCP "每天早上9点提醒我查房" → cron 0 9 * * * 确认正确显示
2026-04-15 09:45:19 +08:00
iven
9715f542b6 docs: 发布前冲刺 Day1 文档同步 — TRUTH.md + wiki 数字更新
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- TRUTH.md: Tauri 182命令、95 invoke、89 @reserved、0孤儿、0 Cargo warnings
- wiki/log.md: 追加 Day1 冲刺记录 (5项修复 + 2项标注)
- wiki/index.md: 更新关键数字与验证日期
2026-04-15 02:07:54 +08:00
iven
5121a3c599 chore(desktop): Tauri 命令 @reserved 全量标注 — 88个无前端调用命令已标注
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- 新增 66 个 @reserved 标注 (已有 22 个)
- 覆盖: agent/butler/classroom/hand/mcp/pipeline/skill/trigger/viking/zclaw 等模块
- MCP 命令增加 @connected 注释说明前端接入路径
- @reserved 总数: 89 (含 identity_init)
2026-04-15 02:05:58 +08:00
iven
ee1c9ef3ea chore: Cargo warnings 清零 — 39→0 (仅剩 sqlx-postgres 外部依赖警告)
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- runtime: 移除未使用的 SessionId/Datelike import,修复 unused variable
- intelligence: 模块级 #![allow(dead_code)] 抑制 Hermes 预留代码警告
- mcp.rs/persist.rs/nl_schedule.rs: 标注 #[allow(dead_code)] 保留接口
2026-04-15 01:53:11 +08:00
iven
76d36f62a6 fix(desktop): 模型自动路由 — 首次登录自动选择可用模型
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- saasStore: fetchAvailableModels 处理 currentModel 为空的情况,自动选择第一个可用模型
- connectionStore: SaaS relay 连接成功后同步 currentModel 到 conversationStore
- 同时覆盖 Tauri 和浏览器两条 SaaS relay 路径
- 修复首次登录用户需手动选模型的问题
2026-04-15 01:45:36 +08:00
iven
be2a136392 fix(saas): relay_tasks 超时自动清理 — 每5分钟扫描 processing >10min 标记 failed
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- scheduler.rs: 新增 start_db_cleanup_tasks 中的 relay 超时清理定时任务
- status=processing 且 updated_at 超过 10 分钟的 relay_task 自动标记为 failed
- 避免 Provider key 禁用后 relay_task 永久停留在 processing 状态
2026-04-15 01:41:50 +08:00
iven
76cdfd0c00 fix(saas): SSE 用量统计一致性修复 — 回写 usage_records + 消除 relay_requests 双重计数
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- service.rs: SSE 流结束后回写 usage_records 真实 token (status=success)
- service.rs: spawned task 中调用 increment_usage 统一递增 tokens + relay_requests
- handlers.rs: 移除 SSE 路径的 increment_dimension("relay_requests") 消除双重计数
- 从 request_body 提取 model_id 用于 usage_records 精准归因
2026-04-15 01:40:27 +08:00
iven
02a4ba5e75 fix(desktop): 替换 require() 为 ES import — 修复生产构建崩溃
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- connectionStore: 2 处 require() → loadConversationStore() 异步预加载 + 闭包引用
- saasStore: 1 处 require() → await import()(logout 是 async)
- llm-service: 1 处 require() → 顶层 import(无循环依赖)
- streamStore: 移除重复动态导入,统一使用顶层 useConnectionStore
- tsc --noEmit 0 errors
2026-04-15 00:47:29 +08:00
iven
a8a0751005 docs: wiki 三端联调V2结果 + 调试环境信息
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- known-issues: 新增V2联调测试(17项通过 + 3项待处理 + SSE token修复)
- development: 新增完整调试环境文档(Windows/PostgreSQL/端口/账号/启动顺序)
- log: 追加V2联调记录
2026-04-15 00:40:05 +08:00
iven
9c59e6e82a fix(saas): SSE relay token capture 修复 — stream_done 标志 + 前缀兼容
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- SseUsageCapture 增加 stream_done 标志,[DONE] 和 stream 结束时设置
- parse_sse_line 兼容 "data:" 和 "data: " 两种前缀
- 增加 total_tokens 兜底解析(某些 provider 不返回 prompt_tokens)
- 轮询逻辑优先检测 stream_done,而非依赖 total > 0 条件
- 超时时增加 warn 日志记录实际 token 值

根因: 上游 provider 不在 SSE chunk 中返回 usage 时,轮询稳定逻辑
(total > 0 条件) 永远不满足,导致 token 始终为 0。
2026-04-15 00:15:03 +08:00
iven
27b98cae6f docs: wiki 全量更新 — 2026-04-14 代码验证驱动
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关键数字修正:
- Rust 77K行(274 .rs)、Tauri 189命令、SaaS 137 routes
- Admin V2 17页、SaaS 16模块(含industry)、@reserved 22
- SQL 20迁移/42表、TODO/FIXME 4个、dead_code 16

内容更新:
- known-issues: V13-GAP 全部标记已修复 + 三端联调测试结果
- middleware: 14层 runtime + 10层 SaaS HTTP 完整清单
- saas: industry模块、路由模块13个、数据表42个
- routing: Store含industryStore、21个Store文件
- butler: 行业配置接入ButlerPanel、4内置行业
- log: 三端联调+V13修复记录追加
2026-04-14 22:15:53 +08:00
iven
d0aabf5f2e fix(test): pain_severity 测试断言修正 + 调试文档代码验证更新
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- test_severity_ordering: 修正错误断言 — 2条挫折信号应触发High而非Medium
- DEBUGGING_PROMPT.md: 全量代码验证更新
  - 数字修正: 97组件/81lib/189命令/137路由/8 Worker
  - V13-GAP 状态更新: 5/6 已修复, 1 标注 DEPRECATED
  - 中间件优先级修正: ButlerRouter@80, DataMasking@90
  - SaaS Relay: resolve_model() 三级解析 (非精确匹配)
2026-04-14 22:03:51 +08:00
iven
3c42e0d692 docs: 三端联调测试报告 V2 — P1 修复状态更新 + 测试截图
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30+ API/16 Admin/8 Tauri 全量测试,3 P1 已修复
2026-04-14 22:02:27 +08:00
iven
e0eb7173c5 fix: 三端联调 P1 修复 — API密钥页崩溃 + 桌面端401恢复 + 用量统计全零
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P1-03: vite.config.ts proxy '/api' → '/api/' 加尾部斜杠,
  防止前缀匹配 /api-keys 导致 SPA 路由崩溃

P1-01: kernel_init 增加 api_key 变更检测(token 刷新后自动重连),
  streamStore 增加 401 自动恢复(refresh token → kernel reconnect),
  KernelClient 新增 getConfig() 方法

P1-02: /api/v1/usage 总计改从 billing_usage_quotas 读取
  (authoritative source,SSE 和 JSON 均写入),
  by_model/by_day 仍从 usage_records 读取
2026-04-14 22:02:02 +08:00
iven
6721a1cc6e fix(admin): 行业选择500修复 + 管理员切换订阅计划
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- fix(industry): list_industries SQL参数编号错位 — count查询和items查询
  共用WHERE子句但参数从$3开始,sqlx bind按$1/$2顺序绑定导致500
- feat(billing): 新增 PUT /admin/accounts/:id/subscription 端点 (super_admin)
  验证目标计划 → 取消当前订阅 → 创建新订阅(30天) → 同步配额
- feat(admin-v2): Accounts.tsx 编辑弹窗新增「订阅计划」选择区
  显示所有活跃计划,保存时调用admin switch plan API
2026-04-14 19:06:58 +08:00
iven
d2a0c8efc0 fix(saas): 启动崩溃修复 — config_items 约束 + industry 类型匹配
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- db.rs: config_items INSERT ON CONFLICT (id) → (category, key_path) 匹配实际唯一约束
- db.rs: fix_seed_data category 重命名前先删除冲突行,避免唯一约束冲突
- migration/service.rs: seed_default_config_items + sync push INSERT 同步修复 ON CONFLICT
- industry/types.rs: keywords_count i64→i32 匹配 PostgreSQL INT4 列类型

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-14 18:35:24 +08:00
iven
70229119be docs: 三端联调测试报告 2026-04-14 — 30+ API/16 Admin/8 Tauri 全量测试
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2026-04-14 17:48:31 +08:00
iven
dd854479eb fix: 三端联调测试 2 P1 + 2 P2 + 4 P3 修复
P1-07: billing get_or_create_usage 同步 max_* 列到当前计划限额
P1-08: relay handler 增加直接配额检查 (relay_requests/input/output_tokens)
P2-09: relay failover 成功后记录 tokens 并标记 completed
P2-10: Tauri agentStore saas-relay 模式下从 SaaS API 获取真实用量
P2-14: super_admin 合成 subscription + check_quota 放行
P3-19: 新建 ApiKeys.tsx 页面替代 ModelServices 路由
P3-15: antd destroyOnClose → destroyOnHidden (3处)
P3-16: ProTable onSearch → onSubmit (2处)
2026-04-14 17:48:22 +08:00
iven
45fd9fee7b fix(desktop): P0-1 验证 SaaS 模型选择 — 防止残留模型 ID 导致请求失败
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Tauri 桌面端通过 SaaS Token Pool 中转访问 LLM,模型列表由 SaaS 后端
动态提供。之前的实现直接使用 conversationStore 持久化的 currentModel,
可能在切换连接模式后使用过期的模型 ID,导致 relay 请求失败。

修复:
- Tauri 路径:用 SaaS relayModels 的 id+alias 构建 validModelIds 集合,
  preferredModel 仅在集合内时才使用,否则回退到第一个可用模型
- 浏览器路径:同样验证 currentModel 在 SaaS 模型列表中才使用

后端 cache.resolve_model() 别名解析作为二道防线保留。
2026-04-14 07:08:56 +08:00
iven
4c3136890b fix: 三端联调测试 2 P0 + 6 P1 + 2 P2 修复
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P0-1: SaaS relay 模型别名解析 — "glm-4-flash" → "glm-4-flash-250414" (resolve_model)
P0-2: config.rs interpolate_env_vars UTF-8 修复 (chars 迭代器替代 bytes as char)
      + DB 启动编码检查 + docker-compose UTF-8 编码参数

P1-3: UI 模型选择器覆盖 Agent 默认模型 (model_override 全链路: TS→Tauri→Rust kernel)
P1-6: 知识搜索管道修复 — seed_knowledge 创建 chunks + 默认分类 (seed/uploaded/distillation)
P1-7: 用量限额从当前 Plan 读取 (非 stale usage 表)
P1-8: relay 双维度配额检查 (relay_requests + input_tokens)

P2-9: SSE 路径 token 计数修复 — 流结束检测替代固定 500ms sleep + billing increment
2026-04-14 00:17:08 +08:00
iven
0903a0d652 fix(v13): FIX-06 PersistentMemoryStore 全量移除 — 665行死代码清理
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- persistent.rs 611→57行: 移除 PersistentMemoryStore struct + 全部方法 + 死 embedding global
- memory_commands.rs: MemoryStoreState→Arc<Mutex<()>>, memory_init→no-op, 移除 2 @reserved 命令
- viking_commands.rs: 移除冗余 PersistentMemoryStore embedding 配置段
- lib.rs: Tauri 命令 191→189 (移除 memory_configure_embedding + memory_is_embedding_configured)
- TRUTH.md + wiki/log.md 数字同步

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-13 20:58:54 +08:00
iven
fd3e7fd2cb docs: V13 审计修复文档同步 — 6项状态更新 + 中间件14→15层
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AUDIT_TRACKER: V13-GAP-01~05 FIXED, GAP-06 PARTIALLY_FIXED
wiki/middleware: 15层 (TrajectoryRecorder V13注册)
wiki/log: 2026-04-13 变更记录
CLAUDE.md: 中间件链 14→15 层

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-13 01:38:55 +08:00
iven
c167ea4ea5 fix(v13): V13 审计 6 项修复 — TrajectoryRecorder注册 + industryStore接入 + 知识搜索 + webhook标注 + structured UI + persistent注释
FIX-01: TrajectoryRecorderMiddleware 注册到 create_middleware_chain() (@650优先级)
FIX-02: industryStore 接入 ButlerPanel 行业专长展示 + 自动拉取
FIX-03: 桌面端知识库搜索 saas-knowledge mixin + VikingPanel SaaS KB UI
FIX-04: webhook 迁移标注 deprecated + 添加 down migration 注释
FIX-05: Admin Knowledge 添加结构化数据 Tab (CRUD + 行浏览)
FIX-06: PersistentMemoryStore 精化 dead_code 标注 (完整迁移留后续)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-13 01:34:08 +08:00
iven
c048cb215f docs: V13 系统性功能审计 — 6 项新发现 + TRUTH.md 数字校准
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V13 审计聚焦 V12 后新增功能 (行业配置/Knowledge/Hermes/管家主动性):
- 总体健康度 82/100 (V12: 76)
- P1 新发现 3 项: TrajectoryRecorder 未注册/industryStore 孤立/桌面端无 Knowledge Search
- P2 新发现 3 项: Webhook 孤儿表/Structured Data 无 Admin/PersistentMemoryStore 遗留
- 修正 V12 错误认知 5 项: Butler/MCP/Gateway/Presentation 已接通
- TRUTH.md 数字校准: Tauri 184→191, SaaS 122→136, @reserved 33→24
2026-04-12 23:33:13 +08:00
iven
f32216e1e0 docs: 添加发散探讨文档和测试截图
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添加了关于管家主动性与行业配置体系的发散探讨文档,包含现状诊断、关键讨论、架构设计等内容。同时添加了测试失败的截图和日志文件。
2026-04-12 22:40:45 +08:00
iven
d5cb636e86 docs: wiki变更日志 — 三轮审计修复记录
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2026-04-12 21:05:06 +08:00
iven
0b512a3d85 fix(industry): 三轮审计修复 — 3 HIGH + 4 MEDIUM 清零
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H1: status 值不匹配 disabled→inactive + source 补 admin 映射 + valueEnum
H2: experience.rs format_for_injection 添加 xml_escape
H3: TriggerContext industry_keywords 接通全局缓存
M2: ID 自动生成移除中文字符保留 + 无 ASCII 时提示手动输入
M3: TS CreateIndustryRequest 添加 id? 字段
M4: ListIndustriesQuery 添加 deny_unknown_fields
2026-04-12 21:04:00 +08:00
iven
168dd87af4 docs: wiki变更日志 — Phase D 统一搜索+种子知识
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2026-04-12 20:48:14 +08:00
iven
640df9937f feat(knowledge): Phase D 统一搜索 + 种子知识冷启动
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- search/recommend API 返回 UnifiedSearchResult (文档+结构化双通道)
- POST /api/v1/knowledge/seed 种子知识冷启动 (幂等, admin权限)
- seed_knowledge service: 按标题+行业查重, source=distillation
- SearchRequest 扩展: search_structured/search_documents/industry_id
2026-04-12 20:46:43 +08:00
iven
f8c5a76ce6 fix(industry): 审计收尾 — MEDIUM + LOW 全部清零
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M-1: Industries 创建弹窗添加 cold_start_template + pain_seed_categories
M-3: industryStore console.warn → createLogger 结构化日志
B2: classify_with_industries 平局打破 + 归一化因子 3.0 文档化
S3: set_account_industries 验证移入事务内消除 TOCTOU
T1: 4 个 SaaS 请求类型添加 deny_unknown_fields
I3: store_trigger_experience Debug 格式 → signal_name 描述名
L-1: 删除 Accounts.tsx 死代码 editingIndustries
L-3: Industries.tsx filters 类型补全 source 字段
2026-04-12 20:37:48 +08:00
iven
3cff31ec03 docs: wiki变更日志 — 二次审计修复记录
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2026-04-12 20:14:52 +08:00
iven
76f6011e0f fix(industry): 二次审计修复 — 2 CRITICAL + 4 HIGH + 2 MEDIUM
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C-1: Industries.tsx 创建弹窗缺少 id 字段 → 添加 id 输入框 + 自动生成
C-2: Accounts.tsx handleSave 无 try/catch → 包装 + handleClose 统一关闭
V1: viking_commands Mutex 跨 await → 先 clone Arc 再释放 Mutex
I1: intelligence_hooks 误导性"相关度" → 移除 access_count 伪分数
I2: pain point 摘要未 XML 转义 → xml_escape() 处理
S1: industry status 无枚举验证 → active/inactive 白名单
S2: create_industry id 无格式验证 → 正则 + 长度检查
H-3: Industries.tsx 编辑模态数据竞争 → data.id === industryId 守卫
H-4: Accounts.tsx useEffect 覆盖用户编辑 → editingId 守卫
2026-04-12 20:13:41 +08:00
iven
0f9211a7b2 docs: wiki变更日志 — Phase B+C 文档提取器+multipart上传
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2026-04-12 19:26:18 +08:00
iven
60062a8097 feat(knowledge): Phase B+C 文档提取器 + multipart 文件上传
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- PDF 提取 (pdf-extract) + DOCX 提取 (zip+quick-xml) + Excel 解析 (calamine)
- 统一格式路由 detect_format() → RAG 通道或结构化通道
- POST /api/v1/knowledge/upload multipart 文件上传
- PDF/DOCX/Markdown → RAG 管线,Excel → structured_rows JSONB
- 结构化数据源 CRUD API (GET/DELETE /api/v1/structured/sources)
- POST /api/v1/structured/query JSONB 关键词查询
- 修复 industry/service.rs SaasError::Database 类型不匹配
2026-04-12 19:25:24 +08:00
iven
4800f89467 docs: wiki变更日志 — 审计修复记录
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2026-04-12 19:06:49 +08:00
iven
fbc8c9fdde fix(industry): 审计修复 — 4 CRITICAL + 5 HIGH 全部解决
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C1: SaaS industry/service.rs SQL 注入风险 → 参数化查询 ($N 绑定)
C2: INDUSTRY_CONFIGS 死链 → Kernel 共享 Arc 接通 ButlerRouter
C3: IndustryListItem 缺 keywords_count → SQL 查询 + 类型补全
C4: set_account_industries 非事务性 → batch 验证 + 事务 DELETE+INSERT
H8: Accounts.tsx mutate 竞态 → mutateAsync 顺序等待
H9: XML 注入未转义 → xml_escape() 辅助函数
H10: update_industry 覆盖 source → 保留原始值
H11: 面包屑缺少 /industries → 添加行业配置映射
2026-04-12 19:06:19 +08:00
iven
c3593d3438 feat(knowledge): Phase A 知识库可见性隔离 + 结构化数据源 + 蒸馏Worker
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- knowledge_items 增加 visibility(public/private) + account_id 字段
- 新建 structured_sources + structured_rows 表 (Excel JSONB 行级存储)
- 结构化数据源 CRUD API (5 路由: list/get/rows/delete/query)
- 安全查询: JSONB GIN 索引 + 可见性过滤 + 行数限制
- 蒸馏 Worker: 复用 Provider Key Pool 调 DeepSeek/Qwen API
- L0 质量过滤: 长度/隐私检测
- create_item 增加 is_admin 参数控制可见性默认值
- generate_embedding: extract_keywords_from_text 改为 pub 复用

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-12 18:36:05 +08:00
iven
b8fb76375c docs: wiki变更日志 + CLAUDE.md架构快照更新 (Phase 1-5完成)
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2026-04-12 18:34:14 +08:00
iven
b357916d97 feat(intelligence): Phase 5 主动行为激活 — 注入格式 + 跨会话连续性 + 触发持久化
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Task 5.1+5.4: ButlerRouter/experience 注入格式升级为 <butler-context> XML fencing
- butler_router: [路由上下文] → <butler-context><routing>...</routing></butler-context>
- experience: [过往经验] → <butler-context><experience>...</experience></butler-context>
- 统一 system-note 提示,引导 LLM 自然运用上下文

Task 5.2: 跨会话连续性 — pre_conversation_hook 注入活跃痛点 + 相关经验
- 从 VikingStorage 检索相关记忆(相似度>=0.3)
- 从 pain_aggregator 获取 High severity 痛点(top 3)

Task 5.3: 触发信号持久化 — post_conversation_hook 将触发信号存入 VikingStorage
- store_trigger_experience(): 模板提取,零 LLM 成本
- 为未来 LLM 深度反思积累数据基础
2026-04-12 18:31:37 +08:00
iven
edf66ab8e6 feat(admin): Phase 4 行业配置管理页面 + 账号行业授权
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- 新增 Industries.tsx: 行业列表(ProTable) + 编辑弹窗(关键词/prompt/痛点种子) + 新建弹窗
- 新增 services/industries.ts: 行业 API 服务层(list/create/update/fullConfig/accountIndustries)
- 增强 Accounts.tsx: 编辑弹窗添加行业授权多选, 自动获取/同步用户行业
- 注册 /industries 路由 + 侧边栏导航(ShopOutlined)
2026-04-12 18:07:52 +08:00
iven
b853978771 feat(industry): Phase 3 Tauri 行业配置加载 — SaaS API mixin + industryStore + Tauri 命令
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- 新增 saas-industry.ts mixin: listIndustries/getIndustryFullConfig/getMyIndustries
- 新增 saas-types 行业类型: IndustryInfo/IndustryFullConfig/AccountIndustryItem
- 新增 industryStore.ts: Zustand store + localStorage persist + Rust 注入
- 新增 viking_load_industry_keywords Tauri 命令: 接收 JSON configs → 全局存储
- 前端 bootstrap 后自动拉取行业配置并推送到 ButlerRouter
2026-04-12 17:18:53 +08:00
iven
29fbfbec59 feat(intelligence): Phase 2 学习循环基础 — 触发信号 + 经验行业维度
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- 新增 triggers.rs: 5 种触发信号(痛点确认/正反馈/复杂工具链/用户纠正/行业模式)
- ExperienceStore 增加 industry_context + source_trigger 字段
- experience.rs format_for_injection 支持行业标签
- intelligence_hooks.rs 集成触发信号评估
- 17 个测试全通过 (7 trigger + 10 experience)
2026-04-12 15:52:29 +08:00
iven
5d1050bf6f feat(industry): Phase 1 行业配置基础 — 数据模型 + 四行业内置配置 + ButlerRouter 动态关键词
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- 新增 SaaS industry 模块 (types/service/handlers/mod/builtin)
- 4 行业内置配置: healthcare/education/garment/ecommerce
- 数据库迁移: industries + account_industries 表
- 8 个 API 端点 (CRUD + 用户行业关联)
- ButlerRouter 改造: 支持 IndustryKeywordConfig 动态注入
- 12 个测试全通过 (含动态行业分类测试)
2026-04-12 15:42:35 +08:00
iven
5599cefc41 feat(saas): 接通 embedding 模型管理全栈
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数据库 migration 已有 is_embedding/model_type 列但全栈未使用。
打通 4 层: ModelRow → ModelInfo/CRUD → CachedModel → Admin 前端。
relay/models 端点也返回 is_embedding 字段,前端可按类型过滤。
2026-04-12 08:10:50 +08:00
iven
b0a304ca82 docs: TRUTH.md 数字校准 + wiki 变更日志
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- TRUTH.md 全面更新 2026-04-11 验证数字
  - Rust 代码 66K→74.6K, 测试 537→798, Tauri 命令 182→184
  - SaaS .route() 140→122, Store 18→20, 组件 135→104
- wiki/log.md 追加发布前准备记录
2026-04-11 23:52:28 +08:00
iven
58aca753aa chore: 发布前准备 — 版本号统一 + 安全加固 + 死组件清理
- Cargo.toml workspace version 0.1.0 → 0.9.0-beta.1
- CSP 添加 object-src 'none' 防止插件注入
- .env.example 补充 SaaS 关键环境变量模板
- 移除已废弃的 SkillMarket.tsx 组件
2026-04-11 23:51:58 +08:00
iven
e1af3cca03 fix(routing): 消除模型路由链路硬编码不匹配模型名
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summarizer_adapter.rs 和 saas-relay-client.ts 中的 fallback 模型名
(glm-4-flash / glm-4-flash-250414) 在 SaaS relay 中不存在,导致请求被拒绝。
改为未配置时明确报错(fail fast),不再静默使用错误模型。
2026-04-11 23:08:06 +08:00
iven
5fcc4c99c1 docs(wiki): 添加 Skill 调用链路 + MCP 架构文档
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- hands-skills.md 标题改为 Hands + Skills + MCP
- 添加 Skill 调用链路说明 (ToolRegistry → AgentLoop → execute_skill)
- 添加 MCP 完整架构 (BasicMcpClient → McpToolAdapter → McpToolWrapper → ToolRegistry)
- 添加 MCP 桥接机制说明 (Arc<RwLock> 共享 + sync_to_kernel)
- 更新关键文件表 (新增 mcp_tool.rs, anthropic.rs, mcp.rs 等)
- 更新 index.md 导航树 + log.md 变更记录
2026-04-11 16:23:31 +08:00
iven
9e0aa496cd fix(runtime): 修复 Skill/MCP 调用链路3个断点
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1. Anthropic Driver ToolResult 格式修复 — ContentBlock 添加 ToolResult 变体,
   tool_call_id 不再被丢弃, 按 Anthropic API 规范发送 tool_result 格式
2. 前端 callMcpTool 参数名对齐 — serviceName/toolName/args 改为
   service_name/tool_name/arguments, 后端支持 service_name 精确路由
3. MCP 工具桥接到 ToolRegistry — McpToolAdapter 添加 service_name/clone,
   新建 McpToolWrapper 实现 Tool trait, Kernel 添加 mcp_adapters 共享状态,
   McpManagerState 与 Kernel 共享同一 Arc<RwLock<Vec>>, MCP 服务启停时
   自动同步工具列表到 LLM 可见的 ToolRegistry
2026-04-11 16:20:38 +08:00
iven
2843bd204f chore: 更新测试注释 — 阈值已从 5 降为 3
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2026-04-11 14:26:53 +08:00
iven
05374f99b0 chore: 移除未使用的 loadConnectionModeTimestamp 函数 2026-04-11 14:26:52 +08:00
iven
c88e3ac630 fix(kernel): UserProfile 序列化失败时记录 warn 而非静默吞掉 2026-04-11 14:26:52 +08:00
iven
dc94a5323a fix(butler): 降低痛点检测阈值 3→2/2→1,更早发现用户需求 2026-04-11 14:26:51 +08:00
iven
69d3feb865 fix(lint): IdentityChangeProposal console.error → createLogger 2026-04-11 14:26:50 +08:00
iven
3927c92fa8 docs: 详情面板7问题修复记录
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2026-04-11 12:59:04 +08:00
iven
730d50bc63 feat(ui): 管家 Tab 空状态增加引导文案 + 立即分析按钮
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- 无数据时显示友好引导文案
- 分析按钮要求至少 2 条对话
- 分析中显示加载状态
2026-04-11 12:58:27 +08:00
iven
ce10befff1 fix(ui): 管家 Tab 统计栏显示管家专属摘要,不再显示聊天统计 2026-04-11 12:58:26 +08:00
iven
f5c6abf03f feat(ui): 演化历史条目增加可展开差异视图 + 文件变更标签
点击展开显示 soul/instructions/profile 变更内容,不再截断原因文本。
2026-04-11 12:58:25 +08:00
iven
b3f7328778 feat(ui): '我眼中的你' 双源渲染 — 静态Clone + 动态UserProfile
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- RightPanel 增加 userProfile state + fetch 逻辑
- 对话结束后通过 CustomEvent 触发画像刷新
- UserProfile 字段: 行业/角色/沟通偏好/近期话题
桥接 identity 系统 → 前端面板。
2026-04-11 12:51:28 +08:00
iven
d50d1ab882 feat(kernel): agent_get 返回值扩展 UserProfile 字段
- AgentInfo 增加 user_profile: Option<Value> (serde default)
- SqliteStorage 增加 pool() getter
- agent_get 命令查询 UserProfileStore 填充 user_profile
- 前端 AgentInfo 类型同步更新
复用已有 UserProfileStore,不新增 Tauri 命令。
2026-04-11 12:51:27 +08:00
iven
d974af3042 fix(reflection): 修复 state restore 竞态 — peek+pop 替代直接 pop
根因: pop_restored_state 在 getHistory 读取前删除数据。
修复: 先 peek 非破坏性读取,apply 后再 pop,确保数据可被多次读取。
2026-04-11 12:51:26 +08:00
iven
8a869f6990 fix(reflection): 降低模式检测阈值 5→3/20→15 以产生更多有意义反思
- task/preference/lesson 累积: 5→3
- high-access memories: 3→2
- low-importance: >20 → >15
- 文案微调: "建议清理" → "可考虑清理"
2026-04-11 12:51:25 +08:00
iven
f7edc59abb fix(auth): 修复重启后无法对话 — restoreSession 优先验证 SaaS token
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根因: 心跳降级将 'tauri' 持久化到 localStorage,重启后盲信该值。
修复: token refresh 成功时强制恢复 'saas' 模式;connectionMode 携带时间戳。
2026-04-11 12:32:20 +08:00
iven
be01127098 fix(autonomy): hand_trigger 从 null 映射改为 handAutoTrigger 字段
根因: autonomy-manager.ts:268 将 hand_trigger 硬编码为 null,
导致任何自主权级别都无法自动触发 Hand。
新增 handAutoTrigger 字段,autonomous 级别默认 true。
UI 增加对应开关。
2026-04-11 12:32:19 +08:00
iven
33c1bd3866 fix(memory): memory_search 空查询时默认 min_similarity=0.0 触发表扫描
根因: FTS5 空查询返回 0 条,而 memory_stats 因设 min_similarity=Some(0.0)
走表扫描才正确计数。统一空查询行为。
2026-04-11 12:32:18 +08:00
iven
b90306ea4b docs(plan): 详情面板7问题修复实施计划
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15个Task分3个Batch:
Batch 1 (P0): memory_search空查询/hand_trigger映射/聊天路由竞态
Batch 2 (P1): 反思阈值+持久化/Agent画像桥接
Batch 3 (P2): 演化差异视图/管家Tab上下文
2026-04-11 12:24:38 +08:00
iven
449768bee9 docs(spec): 详情面板7问题修复设计文档
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7个问题根因分析+修复方案:
P0: 聊天路由竞态/记忆查询缺陷/hand_trigger硬编码
P1: Agent画像断链/反思持久化多重缺陷
P2: 演化差异视图/管家Tab上下文混淆
路径B: 系统桥接修复,扩展已有命令而非新增
2026-04-11 10:50:25 +08:00
iven
d871685e25 fix(auth): 5 BUG 修复 — refresh token 持久化 + 密码验证 + 浏览器兼容
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BUG-1 (P1): LoginPage 注册密码验证从 6 位改为 8 位,与后端一致
BUG-2 (P0): refresh token 持久化到 OS keyring + restoreSession 三级恢复
  (access token → refresh token → cookie auth) + saveSaaSSession 改为 await
BUG-3 (P0): Tauri 聊天路由降级问题,根因同 BUG-2(会话恢复失败)
BUG-4 (P1): App.tsx 跳过 Onboarding 改用 agentStore(兼容所有 client),
  Workspace.tsx Tauri invoke 改为动态 import 避免浏览器崩溃
BUG-5: tauri.conf.json createUpdaterArtifacts 改为 boolean true
2026-04-11 09:43:17 +08:00
iven
1171218276 docs(wiki): 追加发布内测前修复 6 批次记录
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2026-04-11 03:03:13 +08:00
iven
33008c06c7 chore: 版本号 0.1.0 → 0.9.0-beta.1 + updater 插件预留
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- package.json / tauri.conf.json: version 更新为 0.9.0-beta.1
- tauri.conf.json: 添加 plugins.updater 空壳配置 + createUpdaterArtifacts
- Cargo.toml: 添加 tauri-plugin-updater 依赖
- lib.rs: 注册 updater 插件 (空壳,部署时配置 HTTPS 端点 + Ed25519 密钥)
2026-04-11 03:02:39 +08:00
iven
5e937d0ce2 refactor(ui): 移除空壳行业资讯 Tab + Provider URL 去重
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- SimpleSidebar: 移除空壳"行业资讯" Tab 和 Newspaper icon import
- ModelsAPI.tsx: AVAILABLE_PROVIDERS 引用 LLM_PROVIDER_URLS 常量
- models.ts: PROVIDER_DEFAULTS 引用 api-urls.ts,消除重复 URL 定义
- 所有 Provider URL 现在统一在 api-urls.ts 维护
2026-04-11 02:59:16 +08:00
iven
722d8a3a9e fix(ui): UX 文案优化 — 区分新/老用户 + 去政务化 + 友好提示
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- FirstConversationPrompt: 新用户显示"欢迎开始!",老用户"欢迎回来!"
- use-cold-start: 冷启动问候语改为通用语言,去掉政务场景特定文案
- LoginPage: 添加"忘记密码?请联系管理员重置"提示
- connectionStore: 错误提示改为用户友好的"暂时没有可用的 AI 模型"
2026-04-11 02:56:19 +08:00
iven
db1f8dcbbc feat(desktop): Gateway URL 配置化 + Rust panic hook 崩溃报告
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- api-urls.ts: GATEWAY_URLS 读 VITE_GATEWAY_HTTP/WS env
- gateway-storage.ts: DEFAULT_GATEWAY_URL 读 VITE_GATEWAY_WS env
- lib.rs: 添加 tracing_subscriber 初始化 + panic::set_hook
  崩溃时自动写入 crash-reports/ 目录供诊断
- Cargo.toml: 添加 tracing-subscriber workspace 依赖
2026-04-11 02:54:23 +08:00
iven
4e641bd38d refactor(desktop): SaaS URL 集中配置化,消除 5 处硬编码
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- 新增 .env.development / .env.production (VITE_SAAS_URL)
- saasStore.ts / LoginPage.tsx / saas-client.ts / SaaSLogin.tsx
  统一读取 import.meta.env.VITE_SAAS_URL
- 移除 LoginPage 中未使用的 isTauriRuntime import
2026-04-11 02:09:23 +08:00
iven
25a4d4e9d5 fix(saas): 新用户 llm_routing 默认改为 relay 使 SaaS token pool 成为主路径
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- handlers.rs: SQL INSERT 和 LoginResponse 中 'local' → 'relay'
- 新增 migration: ALTER llm_routing SET DEFAULT 'relay'
- 符合管家式服务理念:用户无需配置 API Key,SaaS 自动中转
2026-04-11 02:05:27 +08:00
iven
4dd9ca01fe docs(wiki): 修正关键数字 — Rust 95K行/1055测试/SaaS中间件
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- Rust 总代码: 74.5K→95.2K (含src-tauri 20.7K行, 335 .rs文件)
- 测试函数: 431→~1055 (含tokio::test + 集成测试)
- Tauri命令: 183→190定义/183注册(5 feature-gated)
- 中间件: 14层runtime + 6层SaaS HTTP
2026-04-11 01:08:59 +08:00
iven
b3f97d6525 docs(wiki): 全量代码验证驱动更新 — 10页基于实际扫描非文档推测
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关键数字修正:
- Rust 74.5K行(原66K), Tauri命令 183(原182), SaaS路由 121
- 前端组件 104, lib/ 85文件, Store 17+4子store
- TODO/FIXME 仅 8 个(前端4+Rust4)

内容增强:
- 中间件完整14层注册清单含注册条件和优先级分类
- Store完整目录结构, Pipeline完整目录树
- Hands测试分布, Memory 16个Tauri命令列表
- 管家模式: 关键词路由→语义路由(TF-IDF)修正
- 代码健康度指标新增
2026-04-11 01:05:15 +08:00
iven
36a1c87d87 docs(wiki): 重构为模块化知识库 — 按模块组织而非按文档类型
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问题: 旧 wiki 按文档类型组织(architecture/data-flows/file-map),
修复 Butler Router 需要读 4 个文件才能拼凑全貌。
且 SaaS Relay 主路径 vs 本地降级的优先级描述不准确。

重构为模块化结构,每个模块页自包含:
- 设计思想: 为什么这样设计
- 代码逻辑: 数据流 + 关键代码
- 关联模块: 依赖关系

新增模块页:
- routing.md: 客户端路由 (明确 SaaS Relay 是主路径,不是本地模式)
- chat.md: 聊天系统 (3种实现 + Token Pool 中转机制)
- butler.md: 管家模式 (路由/冷启动/痛点/双模式UI)
- memory.md: 记忆管道 (提取→FTS5→检索→注入)
- saas.md: SaaS平台 (认证/Token池/计费/Admin)
- middleware.md: 中间件链 (14层 + 优先级)
- hands-skills.md: Hands(9) + Skills(75)
- pipeline.md: Pipeline DSL

删除旧文件: architecture.md, data-flows.md, module-status.md, file-map.md
(内容已分布到对应模块页中)

添加 .gitignore 排除 Obsidian 工作区状态文件
2026-04-11 00:36:26 +08:00
iven
9772d6ec94 fix(ui): 空catch块添加日志 + ErrorBoundary覆盖高风险组件
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空catch块修复 (12处, 6文件):
- ModelsAPI: 4处 localStorage 配置读写添加 console.warn
- VikingPanel: 2处 viking 操作添加日志
- Workspace/MCPServices/SaaSStatus/TOTPSettings: 各1-3处

ErrorBoundary新增覆盖:
- ChatArea: 两种UI模式均包裹(防白屏)
- RightPanel: 两种UI模式均包裹
- AuditLogsPanel/HeartbeatConfig/VikingPanel: 设置页包裹
2026-04-11 00:26:24 +08:00
iven
717f2eab4f chore: 清理40个死代码文件 (~9,639行)
删除无任何活跃渲染路径引用的组件:
- Automation/ 全目录 (7文件, 2,598行)
- WorkflowBuilder/ 全目录 (14文件, 1,539行)
- SchedulerPanel + 依赖树 (5文件, 2,595行)
- 独立死组件 (14文件, 2,907行)
  含 SkillMarket, HandsPanel, ErrorNotification 等
- PipelineResultPreview 根目录副本 (534行, 活跃版在 pipeline/)
2026-04-11 00:26:04 +08:00
iven
e790cf171a docs(wiki): 创建 LLM Wiki 知识库 — 编译后项目画像
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受 Karpathy LLM Wiki 启发,将分散在 docs/ + memory/ + CLAUDE.md 的项目知识
编译为 8 个结构化 wiki 页面,解决新会话冷启动时上下文浪费问题。

- wiki/index.md: 主索引入口 (~200行),CLAUDE.md @import 自动加载
- wiki/architecture.md: 系统架构编译 (crate依赖/客户端路由/聊天流/LLM驱动)
- wiki/module-status.md: 9个子系统状态 + Hands详情 + 测试覆盖
- wiki/data-flows.md: 6条核心数据流 (聊天/路由/记忆/认证/管家/Pipeline)
- wiki/development.md: 开发规范 (闭环工作法/验证命令/提交规范)
- wiki/known-issues.md: 缺陷状态 (P0/P1已修复,P2待处理)
- wiki/file-map.md: 代码库文件地图 (crates/desktop/admin-v2/docs)
- wiki/log.md: Append-only 变更日志
- CLAUDE.md: 添加 @wiki/index.md + §8.3 收尾流程增加 wiki 维护步骤
2026-04-11 00:20:17 +08:00
iven
4a5389510e fix(ui): 深度审计修复 — RightPanel流式渲染优化 + SecurityStatus基线真实值
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- RightPanel: useShallow选择器避免流式token导致的无效重渲染
  + stableMessagesRef 限制代码块提取仅在消息数变化时触发
- SecurityStatus: 默认层从全false改为Tauri桌面基线(4/16 true)
  session/input.sanitization/input.schema/exec.sandbox
2026-04-10 23:59:24 +08:00
iven
550e525554 fix(ui): 审计修复 — 路径规范化/SkillInfo类型/分页offset/初始加载/显示统一
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- workspace.rs: canonicalize() 解析 '..' 和符号链接
- Workspace.tsx: 组件挂载时调用 loadDirStats + 统一 KB 显示
- configStore: SkillInfo 接口补充 category 字段 + 空数组回退注释
- securityStore: localStorage 审计日志添加 offset 分页支持
2026-04-10 23:24:32 +08:00
iven
1d0e60d028 fix(ui): 9项端到端真实审计 — 修复记忆/技能/审计/工作区/MCP数据流断裂
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基于 Tauri MCP 实机排查发现并修复:

1. VikingPanel: viking_ls('/') 返回0 → 改为 viking_ls('') 返回100条记忆
2. 技能列表: loadSkillsCatalog 静默失败 → 添加直接 invoke('skill_list') 回退
3. 审计日志: 面板读Gateway API无数据 → 回退读localStorage双源数据
4. 工作区: 浏览按钮无事件 → 接入prompt选择 + workspace_dir_stats 命令
5. MCP: 空列表无引导 → 添加配置文件路径提示
6. 新增 workspace_dir_stats Tauri 命令 (Rust)

排查确认正常的功能: 安全存储(OS Keyring), 心跳引擎(运行中),
定时任务(管道连通), Kernel(已初始化), SaaS relay模式
2026-04-10 23:00:19 +08:00
iven
0d815968ca docs: update BREAKS.md + TRUTH.md — all P0/P1/P2 issues marked FIXED
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BREAKS.md: P1-02, P1-04, P2-03 all marked [FIXED] with commit refs and root cause.
TRUTH.md: Add 2026-04-10 changelog entry for semantic routing + 4 bug fixes.
2026-04-10 21:53:14 +08:00
iven
b2d5b4075c fix(ui): P0-4 — SaaS settings page crash from paginated API response
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listRelayTasks() expected RelayTaskInfo[] but API returns
{items:[], total:0, page:1, page_size:20}. When setTasks() received
the paginated object, tasks.map() crashed during render, triggering
the ErrorBoundary fallback "SaaS 平台加载失败".

Fix: extract .items from paginated response with Array.isArray fallback.
Also adds onError logging to ErrorBoundary wrappers for easier debugging.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-10 21:42:52 +08:00
iven
34ef41c96f fix(test): P1-02 browser chat — add SaaS auth fixture for non-Tauri mode
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Root cause: Playwright external Chromium is not a Tauri runtime, so
isTauriRuntime() returns false. The app needs SaaS session to route
chat through relay, but tests never logged in.

Fix: Auto-detect non-Tauri mode and pre-login via SaaS API, injecting
session into localStorage before tests run.
2026-04-10 21:38:34 +08:00
iven
bd48de69ee fix(test): P2-03 rate limit — share auth token across cross-system smoke tests
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6 tests each called saasLogin() → 6 login requests in <60s → hit 5/min/IP
rate limit on the 6th test. Now login once per worker, reuse token for all
6 tests. Reduces login API calls from 6 to 1.
2026-04-10 21:34:07 +08:00
iven
80b7ee8868 fix(admin): P1-04 AuthGuard race condition — always validate cookie before render
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Root cause: loadFromStorage() set isAuthenticated=true from localStorage
without validating the HttpOnly cookie. On page refresh with expired cookie,
children rendered and made failing API calls before AuthGuard could redirect.

Fix:
- authStore: isAuthenticated starts false, never trusted from localStorage
- AuthGuard: always calls GET /auth/me on mount (unless login flow set it)
- Three-state guard (checking/authenticated/unauthenticated) eliminates race
2026-04-10 21:32:14 +08:00
iven
1e675947d5 feat(butler): upgrade ButlerRouter to semantic skill routing
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Replace keyword-only ButlerRouter with SemanticSkillRouter (TF-IDF).
75 skills now participate in intent classification instead of 4 hardcoded domains.

- Expose ButlerRouterBackend trait + RoutingHint as pub
- Add with_router() constructor for injecting custom backends
- Add SemanticRouterAdapter in kernel layer (bridges skills ↔ runtime)
- Enhance context injection with skill-level match info
2026-04-10 21:24:30 +08:00
iven
88cac9557b fix(saas): P0-2/P0-3 — usage endpoint + refresh token type mismatch
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P0-2: GET /usage 500 "text >= timestamptz" — usage_records.created_at
is TEXT in actual DB despite migration declaring TIMESTAMPTZ. Fixed by
using dynamic SQL with ::timestamptz explicit casts for all date
comparisons, avoiding sqlx NULL-without-type-OID binding issues.

P0-3: POST /auth/refresh 500 — refresh_tokens.expires_at/used_at are
TEXT columns. Added ::timestamptz cast to SQL queries in auth handlers
and cleanup worker.
2026-04-10 16:25:52 +08:00
iven
12a018cc74 docs: update BREAKS.md — P0-01/P1-01/P1-03 marked FIXED
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21/30 tests now pass (70%). Remaining: P1-02 Desktop browser chat.
2026-04-10 12:16:37 +08:00
iven
b0e6654944 fix: P0-01/P1-01/P1-03 — account lockout, token revocation, optional display_name
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- P0-01: Account lockout now enforced via SQL-level comparison
  (locked_until > NOW()) instead of broken RFC3339 text parsing
- P1-01: Logout handler accepts JSON body with optional refresh_token,
  revokes ALL refresh tokens for the account (not just current)
- P1-03: Provider display_name is now optional, falls back to name

All 6 smoke tests pass (S1-S6).
2026-04-10 12:13:53 +08:00
iven
8163289454 fix(ui): show panel toggle button in all modes (not just non-compact)
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2026-04-10 12:13:37 +08:00
iven
34043de685 fix(ui): panel toggle in header bar + message spacing
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- Move side panel toggle from floating button to chat header right side
  (Trae Solo style) via new PanelToggleButton component
- Add px-6 py-4 padding to message list container
- Add mb-5 gap between messages for readable vertical spacing
2026-04-10 12:03:29 +08:00
iven
99262efca4 test: execute 30 smoke tests + fix P0 CSS break + BREAKS.md report
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Layer 1 break detection results (21/30 pass, 63%):
- SaaS API: 5/5 pass (S3 skip no LLM key)
- Admin V2: 5/6 pass (A6 flaky auth guard)
- Desktop Chat: 3/6 pass (D1 no chat response in browser; D2/D3 skip non-Tauri)
- Desktop Feature: 6/6 pass
- Cross-System: 2/6 pass (4 blocked by login rate limit 429)

Bugs found:
- P0-01: Account lockout not enforced (locked_until set but not checked)
- P1-01: Refresh token still valid after logout
- P1-02: Desktop browser chat no response (stores not exposed)
- P1-03: Provider API requires display_name (undocumented)

Fixes applied:
- desktop/src/index.css: @import -> @plugin for Tailwind v4 compatibility
- Admin tests: correct credentials admin/admin123 from .env
- Cross tests: correct dashboard endpoint /stats/dashboard
2026-04-10 11:26:13 +08:00
iven
2e70e1a3f8 test: add 30 smoke tests for break detection across SaaS/Admin/Desktop
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Layer 1 断裂探测矩阵:
- S1-S6: SaaS API 端到端 (auth/lockout/relay/permissions/billing/knowledge)
- A1-A6: Admin V2 连通性 (login/dashboard/CRUD/knowledge/roles/models)
- D1-D6: Desktop 聊天流 (gateway/kernel/relay/cancel/offline/error)
- F1-F6: Desktop 功能闭环 (agent/hands/pipeline/memory/butler/skills)
- X1-X6: 跨系统闭环 (provider→desktop/disabled user/knowledge/stats/totp/billing)

Also adds: admin-v2 Playwright config, updated spec doc with cross-reference

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-10 09:47:35 +08:00
iven
ffa137eff6 test(saas): add 8 model config extended tests — encryption, groups, quota
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- API Key encryption at rest: verify enc: prefix in DB for provider keys
  and main provider api_key
- Key pool: toggle active/inactive + delete with DB state verification
- Model Groups: full CRUD lifecycle + cascade delete + user permission
- Quota enforcement: relay_requests exhaustion verified at DB level
  (middleware test infra issue noted — DB state confirmed correct)
- Provider disable: model hidden from relay/models list after disable
2026-04-10 09:20:06 +08:00
iven
c37c7218c2 test(saas): add 36 security/validation/permission tests (184 total, 0 failures)
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New test files:
- auth_security_test.rs (12): account lockout DB state, lockout reset,
  password version invalidation, disabled account, refresh token
  revocation, boundary validation (username/password), role enforcement,
  TOTP 2FA flow
- account_security_test.rs (9): role management, privilege escalation
  prevention, account disable/enable, cross-account access control,
  operation logs
- relay_validation_test.rs (8): input validation (missing fields, empty
  messages, invalid roles), disabled provider, model listing, task
  isolation
- permission_matrix_test.rs (7): super_admin full access, user allowed/
  forbidden endpoints, public endpoints, unauthenticated rejection,
  API token lifecycle

Discovered: account lockout runtime check broken — handlers.rs:213
parse_from_rfc3339 fails on PostgreSQL TIMESTAMPTZ::TEXT format,
silently skipping lockout. DB state is correct but login not rejected.
2026-04-10 08:11:02 +08:00
iven
ca2581be90 test(admin): sync page tests with component changes (BUG-007)
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Fix 6 page test files to match actual component output:
- Login: cookie-based auth login(account), brand text updates
- Config/Logs/Prompts: remove stale description text assertions
- ModelServices: check for actual table buttons instead of title
- Usage: update description text to match PageHeader

All 132 tests pass (17/17 files).
2026-04-10 07:50:39 +08:00
iven
2c8ab47e5c fix: BUG-012/013/007 — panel overlap, Markdown rendering, authStore tests
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BUG-012: Reposition side panel toggle button (top-[52px]→top-20) to
avoid overlap with header buttons in ResizableChatLayout.

BUG-013: Install @tailwindcss/typography plugin and import in index.css
to enable prose-* Markdown rendering classes in StreamingText.

BUG-007: Rewrite authStore tests to match HttpOnly cookie auth model
(login takes 1 arg, no token/refreshToken in state). Rewrite request
interceptor tests for cookie-based auth. Update bug-tracker status.
2026-04-10 07:44:34 +08:00
iven
26336c3daa fix(ui): button overlap + Markdown rendering (BUG-012, BUG-013)
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BUG-012: Move side panel toggle button below header (top-3 → top-[52px])
to avoid overlap with "详情" button in chat header.

BUG-013: Add rich Markdown component overrides to StreamingText:
- Code blocks: dark bg, border, rounded, overflow-x-auto
- Inline code: subtle bg highlight
- Tables: full borders, alternating header bg, proper padding
- Lists: disc/decimal markers, spacing
- Headings: proper hierarchy sizes
- Blockquotes: left border + subtle bg
- Links: blue underlined with hover
2026-04-09 23:58:00 +08:00
iven
3b2209b656 docs: update bug tracker — BUG-009/010/011 marked FIXED
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2026-04-09 23:46:19 +08:00
iven
ba586e5aa7 fix: BUG-009/010/011 — DataMasking, cancel button, SQL casts
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BUG-009 (P1): Add frontend DataMasking in saas-relay-client.ts
- Masks ID cards, phones, emails, money, company names before relay
- Unmasks tokens in AI response so user sees original data
- Mirrors Rust DataMasking middleware patterns

BUG-010 (P3): Send button transforms to Stop during streaming
- Shows square icon when isStreaming, calls cancelStream()
- Normal arrow icon when idle, calls handleSend()

BUG-011 (P2): Add ::timestamptz casts for old TEXT timestamp columns
- account/handlers.rs: dashboard stats query
- telemetry/service.rs: reported_at comparisons
- workers/aggregate_usage.rs: usage aggregation query
2026-04-09 23:45:19 +08:00
iven
a304544233 docs: update bug tracker with UI issues + untestable scenarios
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New bugs from user review:
- BUG-012 (P2): side panel button overlaps with detail button
- BUG-013 (P2): AI response Markdown not rendered, poor formatting

Added detailed section for untestable scenarios:
- 6 scenarios need Tauri local kernel mode
- 4 scenarios need physical environment changes
- 2 scenarios need Admin backend verification
2026-04-09 23:40:28 +08:00
iven
5ae80d800e test: complete exploratory test results for all 4 storylines + sign-off
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Storyline 3 (极客张):
- 3.4 PASS: SaaS Relay SSE chain verified
- 3.6 FAIL: BUG-009 confirmed - middleware chain bypassed
- Others NOT TESTED: require Tauri kernel local mode

Storyline 4 (妈妈):
- 4.1 PASS: simple mode UI + message flow
- Others SKIP/NOT TESTED: voice input, cold start

Sign-off report updated with full test matrix and release recommendation.
Blocking: BUG-009 (DataMasking bypass in SaaS Relay mode)
2026-04-09 23:21:41 +08:00
iven
71cfcf1277 test: final exploratory test report — 82% pass rate, conditional release
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50 test items: 4 storylines + 21 module P0 + 6 Admin pages
41 PASS / 2 FAIL / 7 SKIP or N/A
Key blocker: BUG-009 (middleware bypass in SaaS Relay)
Recommendation: conditional release, prioritize BUG-009 fix
2026-04-09 23:12:04 +08:00
iven
b87e4379f6 test: module matrix P0 verification + Admin V2 results
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15/21 P0 items PASS, 5 SKIP (Tauri-only), 2 PARTIAL
Admin V2: accounts/model-services/relay pages working
New: BUG-011 (P2) Admin dashboard SQL type error
2026-04-09 23:09:33 +08:00
iven
20b856cfb2 test: complete storyline-2 results (BUG-008 fix verification)
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All scenarios PASS after BUG-008 fix:
- 2.1 PASS: teacher role recognition + proactive help
- 2.2 PASS: 5 quiz questions + answers + analysis
- 2.3 PASS: 10-page courseware + interactive elements
- 2.4 PARTIAL: speech guidance ok, TTS not triggered (SaaS Relay)

Known: All Hands (Quiz/Slideshow/Speech) bypassed in SaaS Relay mode (BUG-009)
2026-04-09 23:06:43 +08:00
iven
87537e7c53 test: storyline 2/3/4 exploratory test results + BUG-009/010
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Storyline 2 (Teacher): 3 PASS, 1 FAIL (BUG-008 confirmed)
Storyline 3 (Tech user): SSE verified, model switch OK, BUG-009 middleware bypass
Storyline 4 (Mom): 3 PASS, scene 4.3 anomalous BUG-008 behavior with kimi

New findings:
- BUG-009 (P1): SaaS Relay bypasses all 14 middleware layers
- BUG-010 (P3): No cancel button during streaming
2026-04-09 23:02:58 +08:00
iven
448b89e682 test: complete storyline-1 results (1.5-1.8) + BUG-008 tracker update
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- 1.5 PASS: policy compliance check with 6-clause analysis + PPT outline
- 1.6 PASS: BUG-008 fix verified, AI correctly references prior context
- 1.7 PARTIAL: NlScheduleParser not triggered in SaaS Relay mode
- 1.8 NOT TESTED: requires physical network disconnect
2026-04-09 22:56:25 +08:00
iven
9442471c98 fix(relay): send conversation history to SaaS relay (BUG-008)
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SaaS Relay was sending only the current message without conversation
history, giving LLM no context from previous turns. Root cause:
streamStore passed only `content` string to chatStream(), and
saas-relay-client hard-coded a single-element messages array.

Fix:
- GatewayClient.chatStream() opts: add `history` field
- streamStore: extract last 20 messages as history before calling chatStream
- saas-relay-client: build messages array from history + current message
2026-04-09 22:41:56 +08:00
iven
f8850ba95a test: add storyline-1 test results + update bug tracker
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Storyline 1 (医院行政小李) results:
- 1.1 SKIP (非首次安装)
- 1.2 PASS (首次对话科室识别)
- 1.3 PASS (会议纪要)
- 1.4 NOT TESTED (Collector Hand)
- Found BUG-003 (require→import), BUG-004 (health formula), BUG-008 (no history)
2026-04-09 22:33:17 +08:00
iven
bf728c34f3 fix: saasStore require() bug + health check pool formula + DEV error details
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- saasStore.ts: replace require('./chat/conversationStore') with await import()
  to fix ReferenceError in Vite ESM environment (P1)
- main.rs: fix health check pool usage formula from max_connections - num_idle
  to pool.size() - num_idle, preventing false "degraded" status (P1)
- error.rs: show detailed error messages in ZCLAW_SAAS_DEV=true mode
- Update bug tracker with BUG-003 through BUG-007
2026-04-09 22:23:05 +08:00
iven
bd6cf8e05f fix(saas): add ::bigint cast to all SUM() aggregates for PG NUMERIC compat
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PostgreSQL SUM() on bigint returns NUMERIC, causing sqlx decode errors
when Rust expects i64/Option<i64>. Root cause: key_pool.rs
select_best_key() token_count SUM was missing ::bigint, causing
DATABASE_ERROR on every relay request.

Fixed in 4 files:
- relay/key_pool.rs: SUM(token_count) — root cause of relay failure
- relay/service.rs: SUM(remaining_rpm) in sort_candidates_by_quota
- account/handlers.rs: SUM(input/output_tokens) in dashboard stats
- workers/aggregate_usage.rs: SUM(input/output_tokens) in aggregation
2026-04-09 22:16:27 +08:00
iven
0054b32c61 chore(test): create exploratory test result directory and templates
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2026-04-09 20:53:45 +08:00
iven
a081a97678 fix(relay): audit fixes — abort signal, model selector guard, SSE CRLF, SQL format
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Addresses findings from deep code audit:

H-1: Pass abortController.signal to saasClient.chatCompletion() so
     user-cancelled streams actually abort the HTTP connection (was only
     stopping the read loop, leaving server-side SSE connection open).

H-2: ModelSelector now shows only when (!isTauriRuntime() || isLoggedIn).
     Prevents decorative model list in Tauri local kernel mode where model
     selection has no effect (violates CLAUDE.md §5.2).

M-1: Normalize CRLF to LF before SSE event boundary parsing (\n\n).
     Prevents buffer overflow when behind nginx/CDN with CRLF line endings.

M-2: SQL window_minute comparison uses to_char(NOW()-interval, format)
     instead of (NOW()-interval)::TEXT, matching the stored format exactly.

M-3: sort_candidates_by_quota uses same sliding 60s window as select_best_key.

LOW: Fix misleading invalidate_cache doc comment.
2026-04-09 19:51:34 +08:00
iven
e6eb97dcaa perf(relay): full-chain optimization — key pool, model sync, SSE stream
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Phase 1 (Key Pool correctness):
- RPM: fixed-minute window → sliding 60s aggregation (prevents 2x burst)
- Remove fallback-to-provider-key bypass when all keys rate-limited
- SSE semaphore: 16→64 permits, cleanup delay 60s→5s
- Default 429 cooldown: 5min→60s (better for Coding Plan quotas)
- Expire old key_usage_window rows on record

Phase 2 (Frontend model sync):
- currentModel empty-string fallback to glm-4-flash-250414 in relay client
- Merge duplicate listModels() calls in connectionStore SaaS path
- Show ModelSelector in Tauri mode when models available
- Clear currentModel on SaaS logout

Phase 3 (Relay performance):
- Key Pool: DashMap in-memory cache (TTL 5s) for select_best_key
- Cache invalidation on 429 marking

Phase 4 (SSE stream):
- AbortController integration for user-cancelled streams
- SSE parsing: split by event boundaries (\n\n) instead of per-line
- streamStore cancelStream adapts to 0-arg and 1-arg cancel fns
2026-04-09 19:34:02 +08:00
iven
5c6964f52a fix(desktop): error response improvements — content, retry, model selector
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P1: onError callback now sets content to error message instead of empty string.
    Previously API errors (404/429) produced empty assistant messages with only
    a visual error badge — now the error text is persisted in message content.

P3: Retry button now re-sends the preceding user message via sendToGateway
    instead of copying to input. Works for both virtualized and non-virtualized
    message lists. Removed unused setInput prop from MessageBubble.

Also hides model selector in Tauri runtime (SaaS token pool routes models).
2026-04-09 18:52:27 +08:00
iven
125da57436 fix: sync currentModel from SaaS available models on login
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Root cause: conversationStore hardcoded 'glm-4-flash' as default model,
which may not exist in SaaS admin config, causing 404 on all chat requests.

- conversationStore: default currentModel to empty string (runtime-resolved)
- saasStore: after fetching available models, auto-switch currentModel
  to first available if the stored model is not in the list
- SaaS relay getModel() already had fallback to first available model
2026-04-09 18:50:38 +08:00
iven
1965fa5269 fix: migrate glm-4-flash to glm-4-flash-250414 (model deprecated by Zhipu)
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Zhipu AI has deprecated glm-4-flash, causing 404 errors on all chat requests.
Updated all references:
- config: glm-4-flash → glm-4-flash-250414, added glm-z1-flash
- frontend: defaultModel, conversationStore, ChatArea fallback, ModelsAPI
2026-04-09 18:42:47 +08:00
iven
5f47e62a46 fix(desktop): hide model selector in Tauri runtime — SaaS token pool routes models
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Model selector was cosmetic-only in desktop mode: chatStream never passes
model param to backend. Hiding prevents user confusion and 404 errors when
selecting models not in SaaS token pool.

Also adds E2E test report covering 168 messages, 4 bugs found (P0 fixed).
2026-04-09 18:35:34 +08:00
iven
4c325de6c3 docs: update CLAUDE.md §13 + TRUTH.md for Hermes Intelligence Pipeline
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- §13: Add Hermes pipeline subsystem (4 chunks: experience/user profile/NL cron/trajectory)
- §13: Update middleware count 13→14 (TrajectoryRecorder@650)
- §13: Update recent changes with Hermes entry
- TRUTH.md: Update test count, middleware count, add change log entry
2026-04-09 17:52:15 +08:00
iven
d6ccb18336 docs: add pre-release functional test design + screenshots 2026-04-09 17:48:40 +08:00
iven
2f25316e83 feat(desktop): simple mode UI — ChatArea compact + SimpleSidebar + RightPanel dual-mode
Adapt ChatArea for compact/butler mode:
- Add onOpenDetail prop for expanding to full view
- Remove inline export dialog (moved to detail view)
- Replace SquarePen with ClipboardList icon

Add SimpleSidebar component for butler simple mode:
- Two tabs: 对话 / 行业资讯
- Quick suggestion buttons
- Minimal navigation

RightPanel refactoring for dual-mode support:
- Detect simple vs professional mode
- Conditional rendering based on butler mode state
2026-04-09 17:48:18 +08:00
iven
4b15ead8e7 feat(hermes): implement intelligence pipeline — 4 chunks, 684 tests passing
Hermes Intelligence Pipeline closes breakpoints in ZCLAW's existing
intelligence components with 4 self-contained modules:

Chunk 1 — Self-improvement Loop:
- ExperienceStore (zclaw-growth): FTS5+TF-IDF wrapper with scope prefix
- ExperienceExtractor (desktop/intelligence): template-based extraction
  from successful proposals with implicit keyword detection

Chunk 2 — User Modeling:
- UserProfileStore (zclaw-memory): SQLite-backed structured profiles
  with industry/role/expertise/comm_style/recent_topics/pain_points
- UserProfiler (desktop/intelligence): fact classification by category
  (Preference/Knowledge/Behavior) with profile summary formatting

Chunk 3 — NL Cron Chinese Time Parser:
- NlScheduleParser (zclaw-runtime): 6 pattern matchers for Chinese time
  expressions (每天/每周/工作日/间隔/每月/一次性) producing cron expressions
- Period-aware hour adjustment (下午3点→15, 晚上8点→20)
- Schedule intent detection + task description extraction

Chunk 4 — Trajectory Compression:
- TrajectoryStore (zclaw-memory): trajectory_events + compressed_trajectories
- TrajectoryRecorderMiddleware (zclaw-runtime/middleware): priority 650,
  async non-blocking event recording via tokio::spawn
- TrajectoryCompressor (desktop/intelligence): dedup, request classification,
  satisfaction detection, execution chain JSON

Schema migrations: v2→v3 (user_profiles), v3→v4 (trajectory tables)
2026-04-09 17:47:43 +08:00
iven
0883bb28ff fix: validation hardening — agent import prompt limit, relay retry tracking, heartbeat validation
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- agent_import: add system_prompt length validation (max 50K chars)
  to prevent excessive token consumption from imported configs
- relay retry_task: wrap JoinHandle to log abort on server shutdown
- device_heartbeat: validate device_id length (1-64 chars) matching
  register endpoint constraints
2026-04-09 17:24:36 +08:00
iven
cf9b258c6c docs: pre-release test report + TRUTH.md numbers update
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- Add comprehensive pre-release test report (code-level audit)
- Update TRUTH.md: SaaS endpoints 130→140, middleware 12→13
- Update CLAUDE.md stabilization table with correct numbers
- Mark all blocking bugs as resolved in test report
2026-04-09 16:44:54 +08:00
iven
3f2acb49fb fix: pre-release audit fixes — Twitter OAuth, DataMasking perf, Prompt versioning
- Twitter like/retweet: return explicit unavailable error instead of
  sending doomed Bearer token requests (would 403 on Twitter API v2)
- DataMasking: pre-compile regex patterns with LazyLock (was compiling
  6 patterns on every mask() call)
- Prompt version: fix get_version handler ignoring version path param,
  add service::get_version_by_number for correct per-version retrieval
2026-04-09 16:43:24 +08:00
500 changed files with 40699 additions and 15695 deletions

View File

@@ -44,3 +44,12 @@ ZCLAW_EMBEDDING_MODEL=text-embedding-3-small
# === Logging ===
# 可选: debug, info, warn, error
ZCLAW_LOG_LEVEL=info
# === SaaS Backend ===
ZCLAW_SAAS_JWT_SECRET=
ZCLAW_TOTP_ENCRYPTION_KEY=
ZCLAW_ADMIN_USERNAME=
ZCLAW_ADMIN_PASSWORD=
DB_PASSWORD=
ZCLAW_DATABASE_URL=
ZCLAW_SAAS_DEV=false

164
BREAKS.md Normal file
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@@ -0,0 +1,164 @@
# ZCLAW 断裂探测报告 (BREAKS.md)
> **生成时间**: 2026-04-10
> **更新时间**: 2026-04-10 (P0-01, P1-01, P1-03, P1-02, P1-04, P2-03 已修复)
> **测试范围**: Layer 1 断裂探测 — 30 个 Smoke Test
> **最终结果**: 21/30 通过 (70%), 0 个 P0 bug, 0 个 P1 bug所有已知问题已修复
---
## 测试执行总结
| 域 | 测试数 | 通过 | 失败 | Skip | 备注 |
|----|--------|------|------|------|------|
| SaaS API (S1-S6) | 6 | 5 | 0 | 1 | S3 需 LLM API Key 已 SKIP |
| Admin V2 (A1-A6) | 6 | 5 | 1 | 0 | A6 间歇性失败 (AuthGuard 竞态) |
| Desktop Chat (D1-D6) | 6 | 3 | 1 | 2 | D1 聊天无响应; D2/D3 非 Tauri 环境 SKIP |
| Desktop Feature (F1-F6) | 6 | 6 | 0 | 0 | 全部通过 (探测模式) |
| Cross-System (X1-X6) | 6 | 2 | 4 | 0 | 4个因登录限流 429 失败 |
| **总计** | **30** | **21** | **6** | **3** | |
---
## P0 断裂 (立即修复)
### ~~P0-01: 账户锁定未强制执行~~ [FIXED]
- **测试**: S2 (s2_account_lockout)
- **严重度**: P0 — 安全漏洞
- **修复**: 使用 SQL 层 `locked_until > NOW()` 比较替代 broken 的 RFC3339 文本解析 (commit b0e6654)
- **验证**: `cargo test -p zclaw-saas --test smoke_saas -- s2` PASS
---
## P1 断裂 (当天修复)
### ~~P1-01: Refresh Token 注销后仍有效~~ [FIXED]
- **测试**: S1 (s1_auth_full_lifecycle)
- **严重度**: P1 — 安全缺陷
- **修复**: logout handler 改为接受 JSON body (optional refresh_token),撤销账户所有 refresh token (commit b0e6654)
- **验证**: `cargo test -p zclaw-saas --test smoke_saas -- s1` PASS
### ~~P1-02: Desktop 浏览器模式聊天无响应~~ [FIXED]
- **测试**: D1 (Gateway 模式聊天)
- **严重度**: P1 — 外部浏览器无法使用聊天
- **根因**: Playwright Chromium 非 Tauri 环境,应用走 SaaS relay 路径但测试未预先登录
- **修复**: 添加 Playwright fixture 自动检测非 Tauri 模式并注入 SaaS session (commit 34ef41c)
- **验证**: `npx playwright test smoke_chat` D1 应正常响应
### ~~P1-03: Provider 创建 API 必需 display_name~~ [FIXED]
- **测试**: A2 (Provider CRUD)
- **严重度**: P1 — API 兼容性
- **修复**: `display_name` 改为 `Option<String>`,缺失时 fallback 到 `name` (commit b0e6654)
- **验证**: `cargo test -p zclaw-saas --test smoke_saas -- s3` PASS
### ~~P1-04: Admin V2 AuthGuard 竞态条件~~ [FIXED]
- **测试**: A6 (间歇性失败)
- **严重度**: P1 — 测试稳定性
- **根因**: `loadFromStorage()` 无条件信任 localStorage 设 `isAuthenticated=true`,但 HttpOnly cookie 可能已过期,子组件先渲染后发 401 请求
- **修复**: authStore 初始 `isAuthenticated=false`AuthGuard 三态守卫 (checking/authenticated/unauthenticated),始终先验证 cookie (commit 80b7ee8)
- **验证**: `npx playwright test smoke_admin` A6 连续通过
---
## P2 发现 (本周修复)
### P2-01: /me 端点不返回 pwv 字段
- JWT claims 含 `pwv`password_version`GET /me` 不返回 → 前端无法客户端检测密码变更
### P2-02: 知识搜索即时性不足
- 创建知识条目后立即搜索可能找不到embedding 异步生成中)
### ~~P2-03: 测试登录限流冲突~~ [FIXED]
- **根因**: 6 个 Cross 测试各调一次 `saasLogin()` → 6 次 login/分钟 → 触发 5次/分钟/IP 限流
- **修复**: 测试共享 token6 个测试只 login 一次 (commit bd48de6)
- **验证**: `npx playwright test smoke_cross` 不再因 429 失败
---
## 已修复 (本次探测中修复)
| 修复 | 描述 |
|------|------|
| P0-02 Desktop CSS | `@import "@tailwindcss/typography"``@plugin "@tailwindcss/typography"` (Tailwind v4 语法) |
| Admin 凭据 | `testadmin/Admin123456``admin/admin123` (来自 .env) |
| Dashboard 端点 | `/dashboard/stats``/stats/dashboard` |
| Provider display_name | 添加缺失的 `display_name` 字段 |
---
## 已通过测试 (21/30)
| ID | 测试名称 | 验证内容 |
|----|----------|----------|
| S1 | 认证闭环 | register→login→/me→refresh→logout |
| S2 | 账户锁定 | 5次失败→locked_until设置→DB验证 |
| S4 | 权限矩阵 | super_admin 200 + user 403 + 未认证 401 |
| S5 | 计费闭环 | dashboard stats + billing usage + plans |
| S6 | 知识检索 | category→item→search→DB验证 |
| A1 | 登录→Dashboard | 表单登录→统计卡片渲染 |
| A2 | Provider CRUD | API 创建+页面可见 |
| A3 | Account 管理 | 表格加载、角色列可见 |
| A4 | 知识管理 | 分类→条目→页面加载 |
| A5 | 角色权限 | 页面加载+API验证 |
| D4 | 流取消 | 取消按钮点击+状态验证 |
| D5 | 离线队列 | 断网→发消息→恢复→重连 |
| D6 | 错误恢复 | 无效模型→错误检测→恢复 |
| F1 | Agent 生命周期 | Store 检查+UI 探测 |
| F2 | Hands 触发 | 面板加载+Store 检查 |
| F3 | Pipeline 执行 | 模板列表加载 |
| F4 | 记忆闭环 | Store 检查+面板探测 |
| F5 | 管家路由 | ButlerRouter 分类检查 |
| F6 | 技能发现 | Store/Tauri 检查 |
| X5 | TOTP 流程 | setup 端点调用 |
| X6 | 计费查询 | usage + plans 结构验证 |
---
## 修复优先级路线图
所有 P0/P1/P2 已知问题已修复。剩余 P2 待观察:
```
P2-01 /me 端点不返回 pwv 字段
└── 影响: 前端无法客户端检测密码变更(非阻断)
└── 优先级: 低
P2-02 知识搜索即时性不足
└── 影响: 创建知识条目后立即搜索可能找不到embedding 异步)
└── 优先级: 低
```
---
## 测试基础设施状态
| 项目 | 状态 | 备注 |
|------|------|------|
| SaaS 集成测试框架 | ✅ 可用 | `crates/zclaw-saas/tests/common/mod.rs` |
| Admin V2 Playwright | ✅ 可用 | Chromium 147 + 正确凭据 |
| Desktop Playwright | ✅ 可用 | CSS 已修复 |
| PostgreSQL 测试 DB | ✅ 运行中 | localhost:5432/zclaw |
| SaaS Server | ✅ 运行中 | localhost:8080 |
| Admin V2 dev server | ✅ 运行中 | localhost:5173 |
| Desktop (Tauri dev) | ✅ 可用 | localhost:1420 |
## 验证命令
```bash
# SaaS (需 PostgreSQL)
cargo test -p zclaw-saas --test smoke_saas -- --test-threads=1
# Admin V2
cd admin-v2 && npx playwright test smoke_admin
# Desktop
cd desktop && npx playwright test smoke_chat smoke_features --config tests/e2e/playwright.config.ts
# Cross (需先等 1 分钟让限流重置)
cd desktop && npx playwright test smoke_cross --config tests/e2e/playwright.config.ts
```

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@@ -1,3 +1,5 @@
@wiki/index.md
# ZCLAW 协作与实现规则
> **ZCLAW 是一个独立成熟的 AI Agent 桌面客户端**,专注于提供真实可用的 AI 能力,而不是演示 UI。
@@ -33,10 +35,10 @@ ZCLAW 是面向中文用户的 AI Agent 桌面端,核心能力包括:
| 禁止行为 | 原因 |
|----------|------|
| 新增 SaaS API 端点 | 已有 130 个(含 2 个 dev-only前端未全部接通 |
| 新增 SaaS API 端点 | 已有 140 个(含 2 个 dev-only前端未全部接通 |
| 新增 SKILL.md 文件 | 已有 75 个,大部分未执行验证 |
| 新增 Tauri 命令 | 已有 18270 个无前端调用且无 @reserved |
| 新增中间件/Store | 已有 12 层中间件 + 18 个 Store |
| 新增 Tauri 命令 | 已有 18970 个无前端调用且无 @reserved |
| 新增中间件/Store | 已有 13 层中间件 + 18 个 Store |
| 新增 admin 页面 | 已有 15 页 |
### 1.4 系统真实状态
@@ -354,6 +356,12 @@ docs/
3. **docs/ARCHITECTURE_BRIEF.md** — 架构决策或关键组件变更时
4. **docs/features/** — 功能状态变化时
5. **docs/knowledge-base/** — 新的排查经验或配置说明
6. **wiki/** — 编译后知识库维护(按触发规则更新对应页面):
- 修复 bug → 更新 `wiki/known-issues.md`
- 架构变更 → 更新 `wiki/architecture.md` + `wiki/data-flows.md`
- 文件结构变化 → 更新 `wiki/file-map.md`
- 模块状态变化 → 更新 `wiki/module-status.md`
- 每次更新 → 在 `wiki/log.md` 追加一条记录
6. **docs/TRUTH.md** — 数字命令数、Store 数、crates 数等)变化时
#### 步骤 B提交按逻辑分组
@@ -521,7 +529,7 @@ refactor(store): 统一 Store 数据获取方式
***
<!-- ARCH-SNAPSHOT-START -->
<!-- 此区域由 auto-sync 自动更新,请勿手动编辑。更新时间: 2026-04-09 -->
<!-- 此区域由 auto-sync 自动更新,请勿手动编辑。更新时间: 2026-04-15 -->
## 13. 当前架构快照
@@ -529,18 +537,21 @@ refactor(store): 统一 Store 数据获取方式
| 子系统 | 状态 | 最新变更 |
|--------|------|----------|
| 管家模式 (Butler) | ✅ 活跃 | 04-09 ButlerRouter + 双模式UI + 痛点持久化 + 冷启动 |
| 管家模式 (Butler) | ✅ 活跃 | 04-12 行业配置4行业 + 跨会话连续性 + <butler-context> XML fencing |
| Hermes 管线 | ✅ 活跃 | 04-12 触发信号持久化 + 经验行业维度 + 注入格式优化 |
| Intelligence Heartbeat | ✅ 活跃 | 04-15 统一健康快照 (health_snapshot.rs) + HeartbeatManager 重构 + HealthPanel 前端 |
| 聊天流 (ChatStream) | ✅ 稳定 | 04-02 ChatStore 拆分为 4 Store (stream/conversation/message/chat) |
| 记忆管道 (Memory) | ✅ 稳定 | 04-02 闭环修复: 对话→提取→FTS5+TF-IDF→检索→注入 |
| SaaS 认证 (Auth) | ✅ 稳定 | Token池 RPM/TPM 轮换 + JWT password_version 失效机制 |
| Pipeline DSL | ✅ 稳定 | 04-01 17 个 YAML 模板 + DAG 执行器 |
| Hands 系统 | ✅ 稳定 | 9 启用 (Browser/Collector/Researcher/Twitter/Whiteboard/Slideshow/Speech/Quiz/Clip) |
| 技能系统 (Skills) | ✅ 稳定 | 75 个 SKILL.md + 语义路由 |
| 中间件链 | ✅ 稳定 | 12 层 (含 DataMasking@90, ButlerRouter) |
| 中间件链 | ✅ 稳定 | 15 层 (含 DataMasking@90, ButlerRouter, TrajectoryRecorder@650 — V13注册) |
### 关键架构模式
- **管家模式**: 双模式UI (默认简洁/解锁专业) + ButlerRouter 4域关键词分类 (healthcare/data_report/policy/meeting) + 冷启动4阶段hook (idle→greeting→waiting→completed) + 痛点双写 (内存Vec+SQLite)
- **Hermes 管线**: 4模块闭环 — ExperienceStore(FTS5经验存取) + UserProfiler(结构化用户画像) + NlScheduleParser(中文时间→cron) + TrajectoryRecorder+Compressor(轨迹记录压缩)。通过中间件链+intelligence hooks调用
- **管家模式**: 双模式UI (默认简洁/解锁专业) + ButlerRouter 动态行业关键词(4内置+自定义) + <butler-context> XML fencing注入 + 跨会话连续性(痛点回访+经验检索) + 触发信号持久化(VikingStorage) + 冷启动4阶段hook
- **聊天流**: 3种实现 → GatewayClient(WebSocket) / KernelClient(Tauri Event) / SaaSRelay(SSE) + 5min超时守护。详见 [ARCHITECTURE_BRIEF.md](docs/ARCHITECTURE_BRIEF.md)
- **客户端路由**: `getClient()` 4分支决策树 → Admin路由 / SaaS Relay(可降级到本地) / Local Kernel / External Gateway
- **SaaS 认证**: JWT→OS keyring 存储 + HttpOnly cookie + Token池 RPM/TPM 限流轮换 + SaaS unreachable 自动降级
@@ -549,8 +560,10 @@ refactor(store): 统一 Store 数据获取方式
### 最近变更
1. [04-09] 管家模式6交付物完成: ButlerRouter + 冷启动 + 简洁模式UI + 桥测试 + 发布文档
2. [04-08] 侧边栏 AnimatePresence bug + TopBar 重复 Z 修复 + 发布评估报告
1. [04-15] Heartbeat 统一健康系统: health_snapshot.rs 统一收集器(LLM连接/记忆/会话/系统资源) + heartbeat.rs HeartbeatManager 重构 + HealthPanel.tsx 前端面板 + Tauri 命令 182→183 + intelligence 模块 15→16 文件 + 删除 intelligence-client/ 9 废弃文件
2. [04-12] 行业配置+管家主动性 全栈 5 Phase: 行业数据模型+4内置配置+ButlerRouter动态关键词+触发信号+Tauri加载+Admin管理页面+跨会话连续性+XML fencing注入格式
2. [04-09] Hermes Intelligence Pipeline 4 Chunk: ExperienceStore+Extractor, UserProfileStore+Profiler, NlScheduleParser, TrajectoryRecorder+Compressor (684 tests, 0 failed)
3. [04-09] 管家模式6交付物完成: ButlerRouter + 冷启动 + 简洁模式UI + 桥测试 + 发布文档
3. [04-07] @reserved 标注 5 个 butler Tauri 命令 + 痛点持久化 SQLite
4. [04-06] 4 个发布前 bug 修复 (身份覆盖/模型配置/agent同步/自动身份)
@@ -563,7 +576,7 @@ refactor(store): 统一 Store 数据获取方式
### 反模式警告
- ❌ **不要**建议新增 SaaS API 端点 — 已有 130 个,稳定化约束禁止新增
- ❌ **不要**建议新增 SaaS API 端点 — 已有 140 个,稳定化约束禁止新增
- ❌ **不要**忽略管家模式 — 已上线且为默认模式,所有聊天经过 ButlerRouter
- ❌ **不要**假设 Tauri 直连 LLM — 实际通过 SaaS Token 池中转SaaS unreachable 时降级到本地 Kernel
- ❌ **不要**建议从零实现已有能力 — 先查 Hand(9个)/Skill(75个)/Pipeline(17模板) 现有库

458
Cargo.lock generated
View File

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[[package]]
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[[package]]
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[[package]]
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@@ -1552,11 +1613,13 @@ dependencies = [
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"uuid",
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[[package]]
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checksum = "2bb7ef65b3777a325d1eeefefab5b6d4959da54747e33bd6258e789640f307ad"
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[[package]]
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@@ -2004,6 +2076,17 @@ dependencies = [
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[[package]]
name = "filetime"
version = "0.2.27"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f98844151eee8917efc50bd9e8318cb963ae8b297431495d3f758616ea5c57db"
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"libc",
"libredox",
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[[package]]
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@@ -2358,7 +2441,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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"lopdf 0.26.0",
"printpdf",
"rusttype",
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@@ -3276,6 +3359,16 @@ dependencies = [
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[[package]]
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"libc",
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[[package]]
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version = "0.3.2"
@@ -3524,16 +3617,55 @@ dependencies = [
"linked-hash-map",
"log",
"lzw",
"pom",
"pom 3.4.0",
"time 0.2.27",
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[[package]]
name = "lopdf"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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[[package]]
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[[package]]
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source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "68354c5c6bd36d73ff3feceb05efa59b6acb7626617f4962be322a825e61f79a"
[[package]]
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[[package]]
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@@ -3964,6 +4102,7 @@ checksum = "e3e0adef53c21f888deb4fa59fc59f7eb17404926ee8a6f59f5df0fd7f9f3272"
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"block2",
"libc",
"objc2",
"objc2-core-foundation",
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"objc2-core-foundation",
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[[package]]
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source = "registry+https://github.com/rust-lang/crates.io-index"
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"objc2",
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"objc2-foundation",
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[[package]]
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version = "0.3.2"
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"pin-project-lite",
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[[package]]
name = "osakit"
version = "0.3.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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[[package]]
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version = "1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
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[[package]]
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source = "registry+https://github.com/rust-lang/crates.io-index"
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@@ -5268,6 +5500,18 @@ dependencies = [
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[[package]]
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@@ -9153,6 +9486,16 @@ dependencies = [
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[[package]]
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[[package]]
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@@ -9268,7 +9620,7 @@ dependencies = [
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dependencies = [
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dependencies = [
"async-trait",
"base64 0.22.1",
@@ -9307,7 +9659,7 @@ dependencies = [
[[package]]
name = "zclaw-kernel"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"async-trait",
"chrono",
@@ -9330,12 +9682,12 @@ dependencies = [
"zclaw-runtime",
"zclaw-skills",
"zclaw-types",
"zip",
"zip 2.4.2",
]
[[package]]
name = "zclaw-memory"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"anyhow",
"async-trait",
@@ -9354,7 +9706,7 @@ dependencies = [
[[package]]
name = "zclaw-pipeline"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"anyhow",
"async-trait",
@@ -9379,7 +9731,7 @@ dependencies = [
[[package]]
name = "zclaw-protocols"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"async-trait",
"reqwest 0.12.28",
@@ -9394,7 +9746,7 @@ dependencies = [
[[package]]
name = "zclaw-runtime"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"async-stream",
"async-trait",
@@ -9420,12 +9772,13 @@ dependencies = [
"uuid",
"zclaw-growth",
"zclaw-memory",
"zclaw-protocols",
"zclaw-types",
]
[[package]]
name = "zclaw-saas"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"aes-gcm",
"anyhow",
@@ -9436,6 +9789,7 @@ dependencies = [
"axum-extra",
"base64 0.22.1",
"bytes",
"calamine",
"chrono",
"dashmap",
"data-encoding",
@@ -9443,7 +9797,9 @@ dependencies = [
"genpdf",
"hex",
"jsonwebtoken",
"pdf-extract",
"pgvector",
"quick-xml 0.37.5",
"rand 0.8.5",
"regex",
"reqwest 0.12.28",
@@ -9469,11 +9825,12 @@ dependencies = [
"urlencoding",
"uuid",
"zclaw-types",
"zip 2.4.2",
]
[[package]]
name = "zclaw-skills"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"async-trait",
"regex",
@@ -9491,7 +9848,7 @@ dependencies = [
[[package]]
name = "zclaw-types"
version = "0.1.0"
version = "0.9.0-beta.1"
dependencies = [
"chrono",
"serde",
@@ -9546,6 +9903,20 @@ name = "zeroize"
version = "1.8.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b97154e67e32c85465826e8bcc1c59429aaaf107c1e4a9e53c8d8ccd5eff88d0"
dependencies = [
"zeroize_derive",
]
[[package]]
name = "zeroize_derive"
version = "1.4.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "85a5b4158499876c763cb03bc4e49185d3cccbabb15b33c627f7884f43db852e"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.117",
]
[[package]]
name = "zerotrie"
@@ -9586,15 +9957,40 @@ version = "2.4.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fabe6324e908f85a1c52063ce7aa26b68dcb7eb6dbc83a2d148403c9bc3eba50"
dependencies = [
"aes",
"arbitrary",
"bzip2",
"constant_time_eq",
"crc32fast",
"crossbeam-utils",
"deflate64",
"displaydoc",
"flate2",
"getrandom 0.3.4",
"hmac",
"indexmap 2.13.0",
"lzma-rs",
"memchr",
"pbkdf2",
"sha1 0.10.6",
"thiserror 2.0.18",
"time 0.3.47",
"xz2",
"zeroize",
"zopfli",
"zstd",
]
[[package]]
name = "zip"
version = "4.6.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "caa8cd6af31c3b31c6631b8f483848b91589021b28fffe50adada48d4f4d2ed1"
dependencies = [
"arbitrary",
"crc32fast",
"indexmap 2.13.0",
"memchr",
"thiserror 2.0.18",
"zopfli",
]
[[package]]
@@ -9615,6 +10011,34 @@ dependencies = [
"simd-adler32",
]
[[package]]
name = "zstd"
version = "0.13.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e91ee311a569c327171651566e07972200e76fcfe2242a4fa446149a3881c08a"
dependencies = [
"zstd-safe",
]
[[package]]
name = "zstd-safe"
version = "7.2.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8f49c4d5f0abb602a93fb8736af2a4f4dd9512e36f7f570d66e65ff867ed3b9d"
dependencies = [
"zstd-sys",
]
[[package]]
name = "zstd-sys"
version = "2.0.16+zstd.1.5.7"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "91e19ebc2adc8f83e43039e79776e3fda8ca919132d68a1fed6a5faca2683748"
dependencies = [
"cc",
"pkg-config",
]
[[package]]
name = "zune-inflate"
version = "0.2.54"

View File

@@ -19,7 +19,7 @@ members = [
]
[workspace.package]
version = "0.1.0"
version = "0.9.0-beta.1"
edition = "2021"
license = "Apache-2.0 OR MIT"
repository = "https://github.com/zclaw/zclaw"
@@ -103,7 +103,7 @@ wasmtime-wasi = { version = "43" }
tempfile = "3"
# SaaS dependencies
axum = { version = "0.7", features = ["macros"] }
axum = { version = "0.7", features = ["macros", "multipart"] }
axum-extra = { version = "0.9", features = ["typed-header", "cookie"] }
tower = { version = "0.4", features = ["util"] }
tower-http = { version = "0.5", features = ["cors", "trace", "limit", "timeout"] }
@@ -112,6 +112,12 @@ argon2 = "0.5"
totp-rs = "5"
hex = "0.4"
# Document processing
pdf-extract = "0.7"
calamine = "0.26"
quick-xml = "0.37"
zip = "2"
# TCP socket configuration
socket2 = { version = "0.5", features = ["all"] }

View File

@@ -26,6 +26,7 @@
},
"devDependencies": {
"@eslint/js": "^9.39.4",
"@playwright/test": "^1.59.1",
"@tailwindcss/vite": "^4.2.2",
"@testing-library/jest-dom": "^6.9.1",
"@testing-library/react": "^16.3.2",

View File

@@ -0,0 +1,50 @@
import { defineConfig, devices } from '@playwright/test';
/**
* Admin V2 E2E 测试配置
*
* 断裂探测冒烟测试 — 验证 Admin V2 页面与 SaaS 后端的连通性
*
* 前提条件:
* - SaaS Server 运行在 http://localhost:8080
* - Admin V2 dev server 运行在 http://localhost:5173
* - 数据库有种子数据 (super_admin: testadmin/Admin123456)
*/
export default defineConfig({
testDir: './tests/e2e',
timeout: 60000,
expect: {
timeout: 10000,
},
fullyParallel: false,
retries: 0,
workers: 1,
reporter: [
['list'],
['html', { outputFolder: 'test-results/html-report' }],
],
use: {
baseURL: 'http://localhost:5173',
trace: 'on-first-retry',
screenshot: 'only-on-failure',
video: 'retain-on-failure',
actionTimeout: 10000,
navigationTimeout: 30000,
},
projects: [
{
name: 'chromium',
use: {
...devices['Desktop Chrome'],
viewport: { width: 1280, height: 720 },
},
},
],
webServer: {
command: 'pnpm dev --port 5173',
url: 'http://localhost:5173',
reuseExistingServer: true,
timeout: 30000,
},
outputDir: 'test-results/artifacts',
});

View File

@@ -45,6 +45,9 @@ importers:
'@eslint/js':
specifier: ^9.39.4
version: 9.39.4
'@playwright/test':
specifier: ^1.59.1
version: 1.59.1
'@tailwindcss/vite':
specifier: ^4.2.2
version: 4.2.2(vite@8.0.3(@emnapi/core@1.9.1)(@emnapi/runtime@1.9.1)(@types/node@24.12.0)(jiti@2.6.1)(terser@5.46.1))
@@ -552,6 +555,11 @@ packages:
'@oxc-project/types@0.122.0':
resolution: {integrity: sha512-oLAl5kBpV4w69UtFZ9xqcmTi+GENWOcPF7FCrczTiBbmC0ibXxCwyvZGbO39rCVEuLGAZM84DH0pUIyyv/YJzA==}
'@playwright/test@1.59.1':
resolution: {integrity: sha512-PG6q63nQg5c9rIi4/Z5lR5IVF7yU5MqmKaPOe0HSc0O2cX1fPi96sUQu5j7eo4gKCkB2AnNGoWt7y4/Xx3Kcqg==}
engines: {node: '>=18'}
hasBin: true
'@rc-component/async-validator@5.1.0':
resolution: {integrity: sha512-n4HcR5siNUXRX23nDizbZBQPO0ZM/5oTtmKZ6/eqL0L2bo747cklFdZGRN2f+c9qWGICwDzrhW0H7tE9PptdcA==}
engines: {node: '>=14.x'}
@@ -1662,6 +1670,11 @@ packages:
resolution: {integrity: sha512-8RipRLol37bNs2bhoV67fiTEvdTrbMUYcFTiy3+wuuOnUog2QBHCZWXDRijWQfAkhBj2Uf5UnVaiWwA5vdd82w==}
engines: {node: '>= 6'}
fsevents@2.3.2:
resolution: {integrity: sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==}
engines: {node: ^8.16.0 || ^10.6.0 || >=11.0.0}
os: [darwin]
fsevents@2.3.3:
resolution: {integrity: sha512-5xoDfX+fL7faATnagmWPpbFtwh/R77WmMMqqHGS65C3vvB0YHrgF+B1YmZ3441tMj5n63k0212XNoJwzlhffQw==}
engines: {node: ^8.16.0 || ^10.6.0 || >=11.0.0}
@@ -2054,6 +2067,16 @@ packages:
resolution: {integrity: sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==}
engines: {node: '>=12'}
playwright-core@1.59.1:
resolution: {integrity: sha512-HBV/RJg81z5BiiZ9yPzIiClYV/QMsDCKUyogwH9p3MCP6IYjUFu/MActgYAvK0oWyV9NlwM3GLBjADyWgydVyg==}
engines: {node: '>=18'}
hasBin: true
playwright@1.59.1:
resolution: {integrity: sha512-C8oWjPR3F81yljW9o5OxcWzfh6avkVwDD2VYdwIGqTkl+OGFISgypqzfu7dOe4QNLL2aqcWBmI3PMtLIK233lw==}
engines: {node: '>=18'}
hasBin: true
postcss@8.5.8:
resolution: {integrity: sha512-OW/rX8O/jXnm82Ey1k44pObPtdblfiuWnrd8X7GJ7emImCOstunGbXUpp7HdBrFQX6rJzn3sPT397Wp5aCwCHg==}
engines: {node: ^10 || ^12 || >=14}
@@ -3211,6 +3234,10 @@ snapshots:
'@oxc-project/types@0.122.0': {}
'@playwright/test@1.59.1':
dependencies:
playwright: 1.59.1
'@rc-component/async-validator@5.1.0':
dependencies:
'@babel/runtime': 7.29.2
@@ -4370,6 +4397,9 @@ snapshots:
hasown: 2.0.2
mime-types: 2.1.35
fsevents@2.3.2:
optional: true
fsevents@2.3.3:
optional: true
@@ -4704,6 +4734,14 @@ snapshots:
picomatch@4.0.4: {}
playwright-core@1.59.1: {}
playwright@1.59.1:
dependencies:
playwright-core: 1.59.1
optionalDependencies:
fsevents: 2.3.2
postcss@8.5.8:
dependencies:
nanoid: 3.3.11

View File

@@ -21,6 +21,7 @@ import {
SafetyOutlined,
FieldTimeOutlined,
SyncOutlined,
ShopOutlined,
} from '@ant-design/icons'
import { Avatar, Dropdown, Tooltip, Drawer } from 'antd'
import { useAuthStore } from '@/stores/authStore'
@@ -50,6 +51,7 @@ const navItems: NavItem[] = [
{ path: '/relay', name: '中转任务', icon: <SwapOutlined />, permission: 'relay:use', group: '运维' },
{ path: '/scheduled-tasks', name: '定时任务', icon: <FieldTimeOutlined />, permission: 'scheduler:read', group: '运维' },
{ path: '/knowledge', name: '知识库', icon: <BookOutlined />, permission: 'knowledge:read', group: '资源管理' },
{ path: '/industries', name: '行业配置', icon: <ShopOutlined />, permission: 'config:read', group: '资源管理' },
{ path: '/billing', name: '计费管理', icon: <CrownOutlined />, permission: 'billing:read', group: '核心' },
{ path: '/logs', name: '操作日志', icon: <FileTextOutlined />, permission: 'admin:full', group: '运维' },
{ path: '/config-sync', name: '同步日志', icon: <SyncOutlined />, permission: 'config:read', group: '运维' },
@@ -219,6 +221,7 @@ const breadcrumbMap: Record<string, string> = {
'/knowledge': '知识库',
'/billing': '计费管理',
'/config': '系统配置',
'/industries': '行业配置',
'/prompts': '提示词管理',
'/logs': '操作日志',
'/config-sync': '同步日志',

View File

@@ -2,12 +2,14 @@
// 账号管理
// ============================================================
import { useState } from 'react'
import { useState, useEffect } from 'react'
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import { Button, message, Tag, Modal, Form, Input, Select, Popconfirm, Space } from 'antd'
import { Button, message, Tag, Modal, Form, Input, Select, Popconfirm, Space, Divider } from 'antd'
import type { ProColumns } from '@ant-design/pro-components'
import { ProTable } from '@ant-design/pro-components'
import { accountService } from '@/services/accounts'
import { industryService } from '@/services/industries'
import { billingService } from '@/services/billing'
import { PageHeader } from '@/components/PageHeader'
import type { AccountPublic } from '@/types'
@@ -47,13 +49,39 @@ export default function Accounts() {
queryFn: ({ signal }) => accountService.list(searchParams, signal),
})
// 获取行业列表(用于下拉选择)
const { data: industriesData } = useQuery({
queryKey: ['industries-all'],
queryFn: ({ signal }) => industryService.list({ page: 1, page_size: 100, status: 'active' }, signal),
})
// 获取当前编辑用户的行业授权
const { data: accountIndustries } = useQuery({
queryKey: ['account-industries', editingId],
queryFn: ({ signal }) => industryService.getAccountIndustries(editingId!, signal),
enabled: !!editingId,
})
// 当账户行业数据加载完且正在编辑时,同步到表单
// Guard: only sync when editingId matches the query key
useEffect(() => {
if (accountIndustries && editingId) {
const ids = accountIndustries.map((item) => item.industry_id)
form.setFieldValue('industry_ids', ids)
}
}, [accountIndustries, editingId, form])
// 获取所有活跃计划(用于管理员切换)
const { data: plansData } = useQuery({
queryKey: ['billing-plans'],
queryFn: ({ signal }) => billingService.listPlans(signal),
})
const updateMutation = useMutation({
mutationFn: ({ id, data }: { id: string; data: Partial<AccountPublic> }) =>
accountService.update(id, data),
onSuccess: () => {
message.success('更新成功')
queryClient.invalidateQueries({ queryKey: ['accounts'] })
setModalOpen(false)
},
onError: (err: Error) => message.error(err.message || '更新失败'),
})
@@ -68,6 +96,26 @@ export default function Accounts() {
onError: (err: Error) => message.error(err.message || '状态更新失败'),
})
// 设置用户行业授权
const setIndustriesMutation = useMutation({
mutationFn: ({ accountId, industries }: { accountId: string; industries: string[] }) =>
industryService.setAccountIndustries(accountId, {
industries: industries.map((id, idx) => ({
industry_id: id,
is_primary: idx === 0,
})),
}),
onError: (err: Error) => message.error(err.message || '行业授权更新失败'),
})
// 管理员切换用户计划
const switchPlanMutation = useMutation({
mutationFn: ({ accountId, planId }: { accountId: string; planId: string }) =>
billingService.adminSwitchPlan(accountId, planId),
onSuccess: () => message.success('计划切换成功'),
onError: (err: Error) => message.error(err.message || '计划切换失败'),
})
const columns: ProColumns<AccountPublic>[] = [
{ title: '用户名', dataIndex: 'username', width: 120, tooltip: '搜索用户名、邮箱或显示名' },
{ title: '显示名', dataIndex: 'display_name', width: 120, hideInSearch: true },
@@ -149,14 +197,55 @@ export default function Accounts() {
const handleSave = async () => {
const values = await form.validateFields()
if (editingId) {
updateMutation.mutate({ id: editingId, data: values })
if (!editingId) return
try {
// 更新基础信息
const { industry_ids, plan_id, ...accountData } = values
await updateMutation.mutateAsync({ id: editingId, data: accountData })
// 更新行业授权(如果变更了)
const newIndustryIds: string[] = industry_ids || []
const oldIndustryIds = accountIndustries?.map((i) => i.industry_id) || []
const changed = newIndustryIds.length !== oldIndustryIds.length
|| newIndustryIds.some((id) => !oldIndustryIds.includes(id))
if (changed) {
await setIndustriesMutation.mutateAsync({ accountId: editingId, industries: newIndustryIds })
message.success('行业授权已更新')
queryClient.invalidateQueries({ queryKey: ['account-industries'] })
}
// 切换订阅计划(如果选择了新计划)
if (plan_id) {
await switchPlanMutation.mutateAsync({ accountId: editingId, planId: plan_id })
}
handleClose()
} catch {
// Errors handled by mutation onError callbacks
}
}
const handleClose = () => {
setModalOpen(false)
setEditingId(null)
form.resetFields()
}
const industryOptions = (industriesData?.items || []).map((item) => ({
value: item.id,
label: `${item.icon} ${item.name}`,
}))
const planOptions = (plansData || []).map((plan) => ({
value: plan.id,
label: `${plan.display_name}${(plan.price_cents / 100).toFixed(0)}/月)`,
}))
return (
<div>
<PageHeader title="账号管理" description="管理系统用户账号、角色与权限" />
<PageHeader title="账号管理" description="管理系统用户账号、角色、权限与行业授权" />
<ProTable<AccountPublic>
columns={columns}
@@ -169,7 +258,6 @@ export default function Accounts() {
const filtered: Record<string, string> = {}
for (const [k, v] of Object.entries(values)) {
if (v !== undefined && v !== null && v !== '') {
// Map 'username' search field to backend 'search' param
if (k === 'username') {
filtered.search = String(v)
} else {
@@ -192,8 +280,9 @@ export default function Accounts() {
title={<span className="text-base font-semibold"></span>}
open={modalOpen}
onOk={handleSave}
onCancel={() => { setModalOpen(false); setEditingId(null); form.resetFields() }}
confirmLoading={updateMutation.isPending}
onCancel={handleClose}
confirmLoading={updateMutation.isPending || setIndustriesMutation.isPending || switchPlanMutation.isPending}
width={560}
>
<Form form={form} layout="vertical" className="mt-4">
<Form.Item name="display_name" label="显示名">
@@ -215,6 +304,36 @@ export default function Accounts() {
{ value: 'relay', label: 'SaaS 中转 (Token 池)' },
]} />
</Form.Item>
<Divider></Divider>
<Form.Item
name="plan_id"
label="切换计划"
extra="选择新计划后保存将立即切换。留空则不修改当前计划。"
>
<Select
allowClear
placeholder="不修改当前计划"
options={planOptions}
loading={!plansData}
/>
</Form.Item>
<Divider></Divider>
<Form.Item
name="industry_ids"
label="授权行业"
extra="第一个行业将设为主行业。行业决定管家可触达的知识域和技能优先级。"
>
<Select
mode="multiple"
placeholder="选择授权的行业"
options={industryOptions}
loading={!industriesData}
/>
</Form.Item>
</Form>
</Modal>
</div>

View File

@@ -0,0 +1,169 @@
import { useState } from 'react'
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import { Button, message, Tag, Modal, Form, Input, InputNumber, Select, Space, Popconfirm, Typography } from 'antd'
import { PlusOutlined, CopyOutlined } from '@ant-design/icons'
import { ProTable } from '@ant-design/pro-components'
import type { ProColumns } from '@ant-design/pro-components'
import { apiKeyService } from '@/services/api-keys'
import type { TokenInfo } from '@/types'
const { Text, Paragraph } = Typography
const PERMISSION_OPTIONS = [
{ label: 'Relay Chat', value: 'relay:use' },
{ label: 'Knowledge Read', value: 'knowledge:read' },
{ label: 'Knowledge Write', value: 'knowledge:write' },
{ label: 'Agent Read', value: 'agent:read' },
{ label: 'Agent Write', value: 'agent:write' },
]
export default function ApiKeys() {
const queryClient = useQueryClient()
const [form] = Form.useForm()
const [createOpen, setCreateOpen] = useState(false)
const [newToken, setNewToken] = useState<string | null>(null)
const [page, setPage] = useState(1)
const [pageSize, setPageSize] = useState(20)
const { data, isLoading } = useQuery({
queryKey: ['api-keys', page, pageSize],
queryFn: ({ signal }) => apiKeyService.list({ page, page_size: pageSize }, signal),
})
const createMutation = useMutation({
mutationFn: (values: { name: string; expires_days?: number; permissions: string[] }) =>
apiKeyService.create(values),
onSuccess: (result: TokenInfo) => {
message.success('API 密钥创建成功')
if (result.token) {
setNewToken(result.token)
}
queryClient.invalidateQueries({ queryKey: ['api-keys'] })
form.resetFields()
},
onError: (err: Error) => message.error(err.message || '创建失败'),
})
const revokeMutation = useMutation({
mutationFn: (id: string) => apiKeyService.revoke(id),
onSuccess: () => {
message.success('密钥已吊销')
queryClient.invalidateQueries({ queryKey: ['api-keys'] })
},
onError: (err: Error) => message.error(err.message || '吊销失败'),
})
const handleCreate = async () => {
const values = await form.validateFields()
createMutation.mutate(values)
}
const columns: ProColumns<TokenInfo>[] = [
{ title: '名称', dataIndex: 'name', width: 180 },
{
title: '前缀',
dataIndex: 'token_prefix',
width: 120,
render: (val: string) => <Text code>{val}...</Text>,
},
{
title: '权限',
dataIndex: 'permissions',
width: 240,
render: (perms: string[]) =>
perms?.map((p) => <Tag key={p}>{p}</Tag>) || '-',
},
{
title: '最后使用',
dataIndex: 'last_used_at',
width: 180,
render: (val: string) => (val ? new Date(val).toLocaleString() : <Text type="secondary">使</Text>),
},
{
title: '过期时间',
dataIndex: 'expires_at',
width: 180,
render: (val: string) =>
val ? new Date(val).toLocaleString() : <Text type="secondary"></Text>,
},
{
title: '创建时间',
dataIndex: 'created_at',
width: 180,
render: (val: string) => new Date(val).toLocaleString(),
},
{
title: '操作',
width: 100,
render: (_: unknown, record: TokenInfo) => (
<Popconfirm
title="确定吊销此密钥?"
description="吊销后使用该密钥的所有请求将被拒绝"
onConfirm={() => revokeMutation.mutate(record.id)}
>
<Button danger size="small"></Button>
</Popconfirm>
),
},
]
return (
<div style={{ padding: 24 }}>
<ProTable<TokenInfo>
columns={columns}
dataSource={data?.items || []}
loading={isLoading}
rowKey="id"
search={false}
pagination={{
current: page,
pageSize,
total: data?.total || 0,
onChange: (p, ps) => { setPage(p); setPageSize(ps) },
}}
toolBarRender={() => [
<Button key="create" type="primary" icon={<PlusOutlined />} onClick={() => setCreateOpen(true)}>
</Button>,
]}
/>
<Modal
title="创建 API 密钥"
open={createOpen}
onOk={handleCreate}
onCancel={() => { setCreateOpen(false); setNewToken(null); form.resetFields() }}
confirmLoading={createMutation.isPending}
destroyOnHidden
>
{newToken ? (
<div style={{ marginBottom: 16 }}>
<Paragraph type="warning">
</Paragraph>
<Space>
<Text code style={{ fontSize: 13 }}>{newToken}</Text>
<Button
icon={<CopyOutlined />}
size="small"
onClick={() => { navigator.clipboard.writeText(newToken); message.success('已复制') }}
/>
</Space>
</div>
) : (
<Form form={form} layout="vertical">
<Form.Item name="name" label="密钥名称" rules={[{ required: true, message: '请输入名称' }]}>
<Input placeholder="例如: 生产环境 API Key" />
</Form.Item>
<Form.Item name="expires_days" label="有效期 (天)">
<InputNumber min={1} max={3650} placeholder="留空表示永不过期" style={{ width: '100%' }} />
</Form.Item>
<Form.Item name="permissions" label="权限" rules={[{ required: true, message: '请选择至少一项权限' }]}>
<Select mode="multiple" options={PERMISSION_OPTIONS} placeholder="选择权限" />
</Form.Item>
</Form>
)}
</Modal>
</div>
)
}

View File

@@ -0,0 +1,379 @@
// ============================================================
// 行业配置管理
// ============================================================
import { useState, useEffect } from 'react'
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import {
Button, message, Tag, Modal, Form, Input, Select, Space, Popconfirm,
Tabs, Typography, Spin, Empty,
} from 'antd'
import {
PlusOutlined, EditOutlined, CheckCircleOutlined, StopOutlined,
ShopOutlined, SettingOutlined,
} from '@ant-design/icons'
import type { ProColumns } from '@ant-design/pro-components'
import { ProTable } from '@ant-design/pro-components'
import { industryService } from '@/services/industries'
import type { IndustryListItem, IndustryFullConfig, UpdateIndustryRequest } from '@/services/industries'
import { PageHeader } from '@/components/PageHeader'
const { TextArea } = Input
const { Text } = Typography
const statusLabels: Record<string, string> = { active: '启用', inactive: '禁用' }
const statusColors: Record<string, string> = { active: 'green', inactive: 'default' }
const sourceLabels: Record<string, string> = { builtin: '内置', admin: '自定义', custom: '自定义' }
// === 行业列表 ===
function IndustryListPanel() {
const queryClient = useQueryClient()
const [page, setPage] = useState(1)
const [pageSize, setPageSize] = useState(20)
const [filters, setFilters] = useState<{ status?: string; source?: string }>({})
const [editId, setEditId] = useState<string | null>(null)
const [createOpen, setCreateOpen] = useState(false)
const { data, isLoading } = useQuery({
queryKey: ['industries', page, pageSize, filters],
queryFn: ({ signal }) => industryService.list({ page, page_size: pageSize, ...filters }, signal),
})
const updateStatusMutation = useMutation({
mutationFn: ({ id, status }: { id: string; status: string }) =>
industryService.update(id, { status }),
onSuccess: () => {
message.success('状态已更新')
queryClient.invalidateQueries({ queryKey: ['industries'] })
},
onError: (err: Error) => message.error(err.message || '更新失败'),
})
const columns: ProColumns<IndustryListItem>[] = [
{
title: '图标',
dataIndex: 'icon',
width: 50,
search: false,
render: (_, r) => <span className="text-xl">{r.icon}</span>,
},
{
title: '行业名称',
dataIndex: 'name',
width: 150,
},
{
title: '描述',
dataIndex: 'description',
width: 250,
search: false,
ellipsis: true,
},
{
title: '来源',
dataIndex: 'source',
width: 80,
valueType: 'select',
valueEnum: {
builtin: { text: '内置' },
admin: { text: '自定义' },
custom: { text: '自定义' },
},
render: (_, r) => <Tag color={r.source === 'builtin' ? 'blue' : 'purple'}>{sourceLabels[r.source] || r.source}</Tag>,
},
{
title: '关键词数',
dataIndex: 'keywords_count',
width: 90,
search: false,
render: (_, r) => <Tag>{r.keywords_count}</Tag>,
},
{
title: '状态',
dataIndex: 'status',
width: 80,
valueType: 'select',
valueEnum: {
active: { text: '启用', status: 'Success' },
inactive: { text: '禁用', status: 'Default' },
},
render: (_, r) => <Tag color={statusColors[r.status]}>{statusLabels[r.status] || r.status}</Tag>,
},
{
title: '更新时间',
dataIndex: 'updated_at',
width: 160,
valueType: 'dateTime',
search: false,
},
{
title: '操作',
width: 180,
search: false,
render: (_, r) => (
<Space>
<Button
type="link"
size="small"
icon={<EditOutlined />}
onClick={() => setEditId(r.id)}
>
</Button>
{r.status === 'active' ? (
<Popconfirm title="确定禁用此行业?" onConfirm={() => updateStatusMutation.mutate({ id: r.id, status: 'inactive' })}>
<Button type="link" size="small" danger icon={<StopOutlined />}></Button>
</Popconfirm>
) : (
<Popconfirm title="确定启用此行业?" onConfirm={() => updateStatusMutation.mutate({ id: r.id, status: 'active' })}>
<Button type="link" size="small" icon={<CheckCircleOutlined />}></Button>
</Popconfirm>
)}
</Space>
),
},
]
return (
<div>
<ProTable<IndustryListItem>
columns={columns}
dataSource={data?.items || []}
loading={isLoading}
rowKey="id"
search={{
onReset: () => { setFilters({}); setPage(1) },
onSubmit: (values) => { setFilters(values); setPage(1) },
}}
toolBarRender={() => [
<Button key="create" type="primary" icon={<PlusOutlined />} onClick={() => setCreateOpen(true)}>
</Button>,
]}
pagination={{
current: page,
pageSize,
total: data?.total || 0,
showSizeChanger: true,
onChange: (p, ps) => { setPage(p); setPageSize(ps) },
}}
options={{ density: false, fullScreen: false, reload: () => queryClient.invalidateQueries({ queryKey: ['industries'] }) }}
/>
<IndustryEditModal
open={!!editId}
industryId={editId}
onClose={() => setEditId(null)}
/>
<IndustryCreateModal
open={createOpen}
onClose={() => setCreateOpen(false)}
/>
</div>
)
}
// === 行业编辑弹窗 ===
function IndustryEditModal({ open, industryId, onClose }: {
open: boolean
industryId: string | null
onClose: () => void
}) {
const queryClient = useQueryClient()
const [form] = Form.useForm()
const { data, isLoading } = useQuery({
queryKey: ['industry-full-config', industryId],
queryFn: ({ signal }) => industryService.getFullConfig(industryId!, signal),
enabled: !!industryId,
})
useEffect(() => {
if (data && open && data.id === industryId) {
form.setFieldsValue({
name: data.name,
icon: data.icon,
description: data.description,
keywords: data.keywords,
system_prompt: data.system_prompt,
cold_start_template: data.cold_start_template,
pain_seed_categories: data.pain_seed_categories,
})
}
}, [data, open, industryId, form])
const updateMutation = useMutation({
mutationFn: (body: UpdateIndustryRequest) =>
industryService.update(industryId!, body),
onSuccess: () => {
message.success('行业配置已更新')
queryClient.invalidateQueries({ queryKey: ['industries'] })
queryClient.invalidateQueries({ queryKey: ['industry-full-config'] })
onClose()
},
onError: (err: Error) => message.error(err.message || '更新失败'),
})
return (
<Modal
title={<span className="text-base font-semibold"> {data?.name || ''}</span>}
open={open}
onCancel={() => { onClose(); form.resetFields() }}
onOk={() => form.submit()}
confirmLoading={updateMutation.isPending}
width={720}
destroyOnHidden
>
{isLoading ? (
<div className="flex justify-center py-8"><Spin /></div>
) : data ? (
<Form
form={form}
layout="vertical"
className="mt-4"
onFinish={(values) => updateMutation.mutate(values)}
>
<Form.Item name="name" label="行业名称" rules={[{ required: true, message: '请输入行业名称' }]}>
<Input />
</Form.Item>
<Form.Item name="icon" label="图标">
<Input placeholder="行业图标 emoji如 🏥" className="w-32" />
</Form.Item>
<Form.Item name="description" label="描述">
<TextArea rows={2} placeholder="行业简要描述" />
</Form.Item>
<Form.Item name="keywords" label="关键词列表" extra="用于语义路由匹配,回车添加">
<Select mode="tags" placeholder="输入关键词后回车添加" />
</Form.Item>
<Form.Item name="system_prompt" label="系统提示词" extra="匹配到此行业时注入的 system prompt">
<TextArea rows={6} placeholder="行业专属系统提示词模板" />
</Form.Item>
<Form.Item name="cold_start_template" label="冷启动模板" extra="首次匹配时的引导消息模板">
<TextArea rows={3} placeholder="冷启动引导消息" />
</Form.Item>
<Form.Item name="pain_seed_categories" label="痛点种子分类" extra="预置的痛点分类维度">
<Select mode="tags" placeholder="输入痛点分类后回车添加" />
</Form.Item>
<div className="mb-2">
<Text type="secondary">
: <Tag color={data.source === 'builtin' ? 'blue' : 'purple'}>{sourceLabels[data.source]}</Tag>
{' '}: <Tag color={statusColors[data.status]}>{statusLabels[data.status]}</Tag>
</Text>
</div>
</Form>
) : (
<Empty description="未找到行业配置" />
)}
</Modal>
)
}
// === 新建行业弹窗 ===
function IndustryCreateModal({ open, onClose }: {
open: boolean
onClose: () => void
}) {
const queryClient = useQueryClient()
const [form] = Form.useForm()
const createMutation = useMutation({
mutationFn: (data: Parameters<typeof industryService.create>[0]) =>
industryService.create(data),
onSuccess: () => {
message.success('行业已创建')
queryClient.invalidateQueries({ queryKey: ['industries'] })
onClose()
form.resetFields()
},
onError: (err: Error) => message.error(err.message || '创建失败'),
})
return (
<Modal
title="新建行业"
open={open}
onCancel={() => { onClose(); form.resetFields() }}
onOk={() => form.submit()}
confirmLoading={createMutation.isPending}
width={640}
destroyOnHidden
>
<Form
form={form}
layout="vertical"
className="mt-4"
initialValues={{ icon: '🏢' }}
onFinish={(values) => {
// Auto-generate id from name if not provided
if (!values.id && values.name) {
// Strip non-ASCII, keep only lowercase alphanumeric + hyphens
const generated = values.name.toLowerCase()
.replace(/[^a-z0-9]+/g, '-')
.replace(/^-|-$/g, '')
if (generated) {
values.id = generated
} else {
// Name has no ASCII chars — require manual ID entry
message.warning('中文行业名称无法自动生成标识,请手动填写行业标识')
return
}
}
createMutation.mutate(values)
}}
>
<Form.Item name="name" label="行业名称" rules={[{ required: true, message: '请输入行业名称' }]}>
<Input placeholder="如:医疗健康、教育培训" />
</Form.Item>
<Form.Item name="id" label="行业标识" extra="唯一标识,留空则从名称自动生成。仅限小写字母、数字、连字符" rules={[
{ pattern: /^[a-z0-9-]*$/, message: '仅限小写字母、数字、连字符' },
{ max: 63, message: '最长 63 字符' },
]}>
<Input placeholder="如healthcare、education" />
</Form.Item>
<Form.Item name="icon" label="图标">
<Input placeholder="行业图标 emoji" className="w-32" />
</Form.Item>
<Form.Item name="description" label="描述" rules={[{ required: true, message: '请输入行业描述' }]}>
<TextArea rows={2} placeholder="行业简要描述" />
</Form.Item>
<Form.Item name="keywords" label="关键词列表" extra="用于语义路由匹配,回车添加">
<Select mode="tags" placeholder="输入关键词后回车添加" />
</Form.Item>
<Form.Item name="system_prompt" label="系统提示词">
<TextArea rows={4} placeholder="行业专属系统提示词" />
</Form.Item>
<Form.Item name="cold_start_template" label="冷启动模板" extra="新用户首次对话时使用的引导模板">
<TextArea rows={3} placeholder="如:您好!我是您的{行业}管家,可以帮您处理..." />
</Form.Item>
<Form.Item name="pain_seed_categories" label="痛点种子类别" extra="预置的痛点分类,用逗号或回车分隔">
<Select mode="tags" placeholder="如:库存管理、客户服务、合规" />
</Form.Item>
</Form>
</Modal>
)
}
// === 主页面 ===
export default function Industries() {
return (
<div>
<PageHeader title="行业配置" description="管理行业关键词、系统提示词、痛点种子,驱动管家语义路由" />
<Tabs
defaultActiveKey="list"
items={[
{
key: 'list',
label: '行业列表',
icon: <ShopOutlined />,
children: <IndustryListPanel />,
},
]}
/>
</div>
)
}

View File

@@ -19,6 +19,8 @@ import type { ProColumns } from '@ant-design/pro-components'
import { ProTable } from '@ant-design/pro-components'
import { knowledgeService } from '@/services/knowledge'
import type { CategoryResponse, KnowledgeItem, SearchResult } from '@/services/knowledge'
import type { StructuredSource } from '@/services/knowledge'
import { TableOutlined } from '@ant-design/icons'
const { TextArea } = Input
const { Text, Title } = Typography
@@ -331,7 +333,7 @@ function ItemsPanel() {
rowKey="id"
search={{
onReset: () => { setFilters({}); setPage(1) },
onSearch: (values) => { setFilters(values); setPage(1) },
onSubmit: (values) => { setFilters(values); setPage(1) },
}}
toolBarRender={() => [
<Button key="create" type="primary" icon={<PlusOutlined />} onClick={() => setCreateOpen(true)}>
@@ -708,12 +710,138 @@ export default function Knowledge() {
icon: <BarChartOutlined />,
children: <AnalyticsPanel />,
},
{
key: 'structured',
label: '结构化数据',
icon: <TableOutlined />,
children: <StructuredSourcesPanel />,
},
]}
/>
</div>
)
}
// === Structured Data Sources Panel ===
function StructuredSourcesPanel() {
const queryClient = useQueryClient()
const [viewingRows, setViewingRows] = useState<string | null>(null)
const { data: sources = [], isLoading } = useQuery({
queryKey: ['structured-sources'],
queryFn: ({ signal }) => knowledgeService.listStructuredSources(signal),
})
const { data: rows = [], isLoading: rowsLoading } = useQuery({
queryKey: ['structured-rows', viewingRows],
queryFn: ({ signal }) => knowledgeService.listStructuredRows(viewingRows!, signal),
enabled: !!viewingRows,
})
const deleteMutation = useMutation({
mutationFn: (id: string) => knowledgeService.deleteStructuredSource(id),
onSuccess: () => {
message.success('数据源已删除')
queryClient.invalidateQueries({ queryKey: ['structured-sources'] })
},
onError: (err: Error) => message.error(err.message || '删除失败'),
})
const columns: ProColumns<StructuredSource>[] = [
{ title: '名称', dataIndex: 'name', key: 'name', width: 200 },
{ title: '类型', dataIndex: 'source_type', key: 'source_type', width: 120, render: (v: string) => <Tag>{v}</Tag> },
{ title: '行数', dataIndex: 'row_count', key: 'row_count', width: 80 },
{
title: '列',
dataIndex: 'columns',
key: 'columns',
width: 250,
render: (cols: string[]) => (
<Space size={[4, 4]} wrap>
{(cols ?? []).slice(0, 5).map((c) => (
<Tag key={c} color="blue">{c}</Tag>
))}
{(cols ?? []).length > 5 && <Tag>+{(cols as string[]).length - 5}</Tag>}
</Space>
),
},
{
title: '创建时间',
dataIndex: 'created_at',
key: 'created_at',
width: 160,
render: (v: string) => new Date(v).toLocaleString('zh-CN'),
},
{
title: '操作',
key: 'actions',
width: 140,
render: (_: unknown, record: StructuredSource) => (
<Space>
<Button type="link" size="small" onClick={() => setViewingRows(record.id)}>
</Button>
<Popconfirm title="确认删除此数据源?" onConfirm={() => deleteMutation.mutate(record.id)}>
<Button type="link" size="small" danger>
</Button>
</Popconfirm>
</Space>
),
},
]
// Dynamically generate row columns from the first row's keys
const rowColumns = rows.length > 0
? Object.keys(rows[0].row_data).map((key) => ({
title: key,
dataIndex: ['row_data', key],
key,
ellipsis: true,
render: (v: unknown) => String(v ?? ''),
}))
: []
return (
<div className="space-y-4">
{viewingRows ? (
<Card
title="数据行"
extra={<Button onClick={() => setViewingRows(null)}></Button>}
>
{rowsLoading ? (
<Spin />
) : rows.length === 0 ? (
<Empty description="暂无数据" />
) : (
<Table
dataSource={rows}
columns={rowColumns}
rowKey="id"
size="small"
scroll={{ x: true }}
pagination={{ pageSize: 20 }}
/>
)}
</Card>
) : (
<ProTable<StructuredSource>
dataSource={sources}
columns={columns}
loading={isLoading}
rowKey="id"
search={false}
pagination={{ pageSize: 20 }}
toolBarRender={false}
/>
)}
</div>
)
}
// === 辅助函数 ===
// === 辅助函数 ===
function flattenCategories(cats: CategoryResponse[]): { id: string; name: string }[] {

View File

@@ -67,6 +67,7 @@ function ProviderModelsTable({ providerId }: { providerId: string }) {
const columns: ProColumns<Model>[] = [
{ title: '模型 ID', dataIndex: 'model_id', width: 180, render: (_, r) => <Text code>{r.model_id}</Text> },
{ title: '别名', dataIndex: 'alias', width: 120 },
{ title: '类型', dataIndex: 'is_embedding', width: 80, render: (_, r) => r.is_embedding ? <Tag color="purple">Embedding</Tag> : <Tag>Chat</Tag> },
{ title: '上下文窗口', dataIndex: 'context_window', width: 100, render: (_, r) => r.context_window?.toLocaleString() },
{ title: '最大输出', dataIndex: 'max_output_tokens', width: 90, render: (_, r) => r.max_output_tokens?.toLocaleString() },
{ title: '流式', dataIndex: 'supports_streaming', width: 60, render: (_, r) => r.supports_streaming ? <Tag color="green"></Tag> : <Tag></Tag> },
@@ -128,6 +129,9 @@ function ProviderModelsTable({ providerId }: { providerId: string }) {
<Form.Item name="enabled" label="启用" valuePropName="checked" style={{ flex: 1 }}>
<Switch />
</Form.Item>
<Form.Item name="is_embedding" label="Embedding 模型" valuePropName="checked" style={{ flex: 1 }}>
<Switch />
</Form.Item>
<Form.Item name="supports_streaming" label="支持流式" valuePropName="checked" style={{ flex: 1 }}>
<Switch defaultChecked />
</Form.Item>

View File

@@ -327,7 +327,7 @@ export default function ScheduledTasks() {
onCancel={closeModal}
confirmLoading={createMutation.isPending || updateMutation.isPending}
width={520}
destroyOnClose
destroyOnHidden
>
<Form form={form} layout="vertical" className="mt-4">
<Form.Item

View File

@@ -3,10 +3,14 @@
// ============================================================
//
// Auth strategy:
// 1. If Zustand has isAuthenticated=true (normal flow after login) -> authenticated
// 2. If isAuthenticated=false but account in localStorage -> call GET /auth/me
// to validate HttpOnly cookie and restore session
// 1. On first mount, always validate the HttpOnly cookie via GET /auth/me
// 2. If cookie valid -> restore session and render children
// 3. If cookie invalid -> clean up and redirect to /login
// 4. If already authenticated (from login flow) -> render immediately
//
// This eliminates the race condition where localStorage had account data
// but the HttpOnly cookie was expired, causing children to render and
// make failing API calls.
import { useEffect, useRef, useState } from 'react'
import { Navigate, useLocation } from 'react-router-dom'
@@ -14,40 +18,44 @@ import { Spin } from 'antd'
import { useAuthStore } from '@/stores/authStore'
import { authService } from '@/services/auth'
type GuardState = 'checking' | 'authenticated' | 'unauthenticated'
export function AuthGuard({ children }: { children: React.ReactNode }) {
const isAuthenticated = useAuthStore((s) => s.isAuthenticated)
const account = useAuthStore((s) => s.account)
const login = useAuthStore((s) => s.login)
const logout = useAuthStore((s) => s.logout)
const location = useLocation()
// Track restore attempt to avoid double-calling
const restoreAttempted = useRef(false)
const [restoring, setRestoring] = useState(false)
// Track validation attempt to avoid double-calling (React StrictMode)
const validated = useRef(false)
const [guardState, setGuardState] = useState<GuardState>(
isAuthenticated ? 'authenticated' : 'checking'
)
useEffect(() => {
if (restoreAttempted.current) return
restoreAttempted.current = true
// If not authenticated but account exists in localStorage,
// try to validate the HttpOnly cookie via /auth/me
if (!isAuthenticated && account) {
setRestoring(true)
authService.me()
.then((meAccount) => {
// Cookie is valid — restore session
login(meAccount)
setRestoring(false)
})
.catch(() => {
// Cookie expired or invalid — clean up stale data
logout()
setRestoring(false)
})
// Already authenticated from login flow — skip validation
if (isAuthenticated) {
setGuardState('authenticated')
return
}
// Prevent double-validation in React StrictMode
if (validated.current) return
validated.current = true
// Validate HttpOnly cookie via /auth/me
authService.me()
.then((meAccount) => {
login(meAccount)
setGuardState('authenticated')
})
.catch(() => {
logout()
setGuardState('unauthenticated')
})
}, []) // eslint-disable-line react-hooks/exhaustive-deps
if (restoring) {
if (guardState === 'checking') {
return (
<div style={{ display: 'flex', justifyContent: 'center', alignItems: 'center', height: '100vh' }}>
<Spin size="large" />
@@ -55,7 +63,7 @@ export function AuthGuard({ children }: { children: React.ReactNode }) {
)
}
if (!isAuthenticated) {
if (guardState === 'unauthenticated') {
return <Navigate to="/login" state={{ from: location }} replace />
}

View File

@@ -26,7 +26,7 @@ export const router = createBrowserRouter([
{ path: 'providers', lazy: () => import('@/pages/ModelServices').then((m) => ({ Component: m.default })) },
{ path: 'models', lazy: () => import('@/pages/ModelServices').then((m) => ({ Component: m.default })) },
{ path: 'agent-templates', lazy: () => import('@/pages/AgentTemplates').then((m) => ({ Component: m.default })) },
{ path: 'api-keys', lazy: () => import('@/pages/ModelServices').then((m) => ({ Component: m.default })) },
{ path: 'api-keys', lazy: () => import('@/pages/ApiKeys').then((m) => ({ Component: m.default })) },
{ path: 'usage', lazy: () => import('@/pages/Usage').then((m) => ({ Component: m.default })) },
{ path: 'billing', lazy: () => import('@/pages/Billing').then((m) => ({ Component: m.default })) },
{ path: 'relay', lazy: () => import('@/pages/Relay').then((m) => ({ Component: m.default })) },
@@ -36,6 +36,7 @@ export const router = createBrowserRouter([
{ path: 'prompts', lazy: () => import('@/pages/Prompts').then((m) => ({ Component: m.default })) },
{ path: 'logs', lazy: () => import('@/pages/Logs').then((m) => ({ Component: m.default })) },
{ path: 'config-sync', lazy: () => import('@/pages/ConfigSync').then((m) => ({ Component: m.default })) },
{ path: 'industries', lazy: () => import('@/pages/Industries').then((m) => ({ Component: m.default })) },
],
},
])

View File

@@ -90,4 +90,9 @@ export const billingService = {
getPaymentStatus: (id: string, signal?: AbortSignal) =>
request.get<PaymentStatus>(`/billing/payments/${id}`, withSignal({}, signal))
.then((r) => r.data),
/** 管理员切换用户订阅计划 (super_admin only) */
adminSwitchPlan: (accountId: string, planId: string) =>
request.put<{ success: boolean; subscription: Subscription }>(`/admin/accounts/${accountId}/subscription`, { plan_id: planId })
.then((r) => r.data),
}

View File

@@ -0,0 +1,105 @@
// ============================================================
// 行业配置 API 服务层
// ============================================================
import request, { withSignal } from './request'
import type { PaginatedResponse } from '@/types'
import type { IndustryInfo, AccountIndustryItem } from '@/types'
/** 行业列表项(列表接口返回) */
export interface IndustryListItem {
id: string
name: string
icon: string
description: string
status: string
source: string
keywords_count: number
created_at: string
updated_at: string
}
/** 行业完整配置含关键词、prompt 等) */
export interface IndustryFullConfig {
id: string
name: string
icon: string
description: string
status: string
source: string
keywords: string[]
system_prompt: string
cold_start_template: string
pain_seed_categories: string[]
skill_priorities: Array<{ skill_id: string; priority: number }>
created_at: string
updated_at: string
}
/** 创建行业请求 */
export interface CreateIndustryRequest {
id?: string
name: string
icon: string
description: string
keywords?: string[]
system_prompt?: string
cold_start_template?: string
pain_seed_categories?: string[]
}
/** 更新行业请求 */
export interface UpdateIndustryRequest {
name?: string
icon?: string
description?: string
status?: string
keywords?: string[]
system_prompt?: string
cold_start_template?: string
pain_seed_categories?: string[]
skill_priorities?: Array<{ skill_id: string; priority: number }>
}
/** 设置用户行业请求 */
export interface SetAccountIndustriesRequest {
industries: Array<{
industry_id: string
is_primary: boolean
}>
}
export const industryService = {
/** 行业列表 */
list: (params?: { page?: number; page_size?: number; status?: string }, signal?: AbortSignal) =>
request.get<PaginatedResponse<IndustryListItem>>('/industries', withSignal({ params }, signal))
.then((r) => r.data),
/** 行业详情 */
get: (id: string, signal?: AbortSignal) =>
request.get<IndustryInfo>(`/industries/${id}`, withSignal({}, signal))
.then((r) => r.data),
/** 行业完整配置 */
getFullConfig: (id: string, signal?: AbortSignal) =>
request.get<IndustryFullConfig>(`/industries/${id}/full-config`, withSignal({}, signal))
.then((r) => r.data),
/** 创建行业 */
create: (data: CreateIndustryRequest) =>
request.post<IndustryInfo>('/industries', data).then((r) => r.data),
/** 更新行业 */
update: (id: string, data: UpdateIndustryRequest) =>
request.patch<IndustryInfo>(`/industries/${id}`, data).then((r) => r.data),
/** 获取用户授权行业 */
getAccountIndustries: (accountId: string, signal?: AbortSignal) =>
request.get<AccountIndustryItem[]>(`/accounts/${accountId}/industries`, withSignal({}, signal))
.then((r) => r.data),
/** 设置用户授权行业 */
setAccountIndustries: (accountId: string, data: SetAccountIndustriesRequest) =>
request.put<AccountIndustryItem[]>(`/accounts/${accountId}/industries`, data)
.then((r) => r.data),
}

View File

@@ -62,6 +62,33 @@ export interface ListItemsResponse {
page_size: number
}
// === Structured Data Sources ===
export interface StructuredSource {
id: string
account_id: string
name: string
source_type: string
row_count: number
columns: string[]
created_at: string
updated_at: string
}
export interface StructuredRow {
id: string
source_id: string
row_data: Record<string, unknown>
created_at: string
}
export interface StructuredQueryResult {
row_id: string
source_name: string
row_data: Record<string, unknown>
score: number
}
// === Service ===
export const knowledgeService = {
@@ -159,4 +186,23 @@ export const knowledgeService = {
// 导入
importItems: (data: { category_id: string; files: Array<{ content: string; title?: string; keywords?: string[]; tags?: string[] }> }) =>
request.post('/knowledge/items/import', data).then((r) => r.data),
// === Structured Data Sources ===
listStructuredSources: (signal?: AbortSignal) =>
request.get<StructuredSource[]>('/structured/sources', withSignal({}, signal))
.then((r) => r.data),
getStructuredSource: (id: string, signal?: AbortSignal) =>
request.get<StructuredSource>(`/structured/sources/${id}`, withSignal({}, signal))
.then((r) => r.data),
deleteStructuredSource: (id: string) =>
request.delete(`/structured/sources/${id}`).then((r) => r.data),
listStructuredRows: (sourceId: string, signal?: AbortSignal) =>
request.get<StructuredRow[]>(`/structured/sources/${sourceId}/rows`, withSignal({}, signal))
.then((r) => r.data),
queryStructured: (data: { source_id?: string; query?: string; limit?: number }) =>
request.post<StructuredQueryResult[]>('/structured/query', data).then((r) => r.data),
}

View File

@@ -37,9 +37,11 @@ function loadFromStorage(): { account: AccountPublic | null; isAuthenticated: bo
if (raw) {
try { account = JSON.parse(raw) } catch { /* ignore */ }
}
// If account exists in localStorage, mark as authenticated (cookie validation
// happens in AuthGuard via GET /auth/me — this is just a UI hint)
return { account, isAuthenticated: account !== null }
// IMPORTANT: Do NOT set isAuthenticated = true from localStorage alone.
// The HttpOnly cookie must be validated via GET /auth/me before we trust
// the session. This prevents the AuthGuard race condition where children
// render and make API calls with an expired cookie.
return { account, isAuthenticated: false }
}
interface AuthState {

View File

@@ -44,6 +44,30 @@ export interface PaginatedResponse<T> {
page_size: number
}
/** 行业配置 */
export interface IndustryInfo {
id: string
name: string
icon: string
description: string
status: string
source: string
keywords?: string[]
system_prompt?: string
cold_start_template?: string
pain_seed_categories?: string[]
created_at: string
updated_at: string
}
/** 用户-行业关联 */
export interface AccountIndustryItem {
industry_id: string
is_primary: boolean
industry_name: string
industry_icon: string
}
/** 服务商 (Provider) */
export interface Provider {
id: string
@@ -70,6 +94,8 @@ export interface Model {
supports_streaming: boolean
supports_vision: boolean
enabled: boolean
is_embedding: boolean
model_type: string
pricing_input: number
pricing_output: number
}

View File

@@ -0,0 +1,6 @@
{
"status": "failed",
"failedTests": [
"825d61429c68a1b0492e-735d17b3ccbad35e8726"
]
}

View File

@@ -0,0 +1,196 @@
# Instructions
- Following Playwright test failed.
- Explain why, be concise, respect Playwright best practices.
- Provide a snippet of code with the fix, if possible.
# Test info
- Name: smoke_admin.spec.ts >> A6: 模型服务页面加载→Provider和Model tab可见
- Location: tests\e2e\smoke_admin.spec.ts:179:1
# Error details
```
TimeoutError: page.waitForSelector: Timeout 15000ms exceeded.
Call log:
- waiting for locator('#main-content') to be visible
```
# Page snapshot
```yaml
- generic [ref=e1]:
- link "跳转到主要内容" [ref=e2] [cursor=pointer]:
- /url: "#main-content"
- generic [ref=e5]:
- generic [ref=e9]:
- generic [ref=e11]: Z
- heading "ZCLAW" [level=1] [ref=e12]
- paragraph [ref=e13]: AI Agent 管理平台
- paragraph [ref=e15]: 统一管理 AI 服务商、模型配置、API 密钥、用量监控与系统配置
- generic [ref=e17]:
- heading "登录" [level=2] [ref=e18]
- paragraph [ref=e19]: 输入您的账号信息以继续
- generic [ref=e22]:
- generic [ref=e28]:
- img "user" [ref=e30]:
- img [ref=e31]
- textbox "请输入用户名" [active] [ref=e33]
- generic [ref=e40]:
- img "lock" [ref=e42]:
- img [ref=e43]
- textbox "请输入密码" [ref=e45]
- img "eye-invisible" [ref=e47] [cursor=pointer]:
- img [ref=e48]
- button "登 录" [ref=e51] [cursor=pointer]:
- generic [ref=e52]: 登 录
```
# Test source
```ts
1 | /**
2 | * Smoke Tests — Admin V2 连通性断裂探测
3 | *
4 | * 6 个冒烟测试验证 Admin V2 页面与 SaaS 后端的完整连通性。
5 | * 所有测试使用真实浏览器 + 真实 SaaS Server。
6 | *
7 | * 前提条件:
8 | * - SaaS Server 运行在 http://localhost:8080
9 | * - Admin V2 dev server 运行在 http://localhost:5173
10 | * - 种子用户: testadmin / Admin123456 (super_admin)
11 | *
12 | * 运行: cd admin-v2 && npx playwright test smoke_admin
13 | */
14 |
15 | import { test, expect, type Page } from '@playwright/test';
16 |
17 | const SaaS_BASE = 'http://localhost:8080/api/v1';
18 | const ADMIN_USER = 'admin';
19 | const ADMIN_PASS = 'admin123';
20 |
21 | // Helper: 通过 API 登录获取 HttpOnly cookie + 设置 localStorage
22 | async function apiLogin(page: Page) {
23 | const res = await page.request.post(`${SaaS_BASE}/auth/login`, {
24 | data: { username: ADMIN_USER, password: ADMIN_PASS },
25 | });
26 | const json = await res.json();
27 | // 设置 localStorage 让 Admin V2 AuthGuard 认为已登录
28 | await page.goto('/');
29 | await page.evaluate((account) => {
30 | localStorage.setItem('zclaw_admin_account', JSON.stringify(account));
31 | }, json.account);
32 | return json;
33 | }
34 |
35 | // Helper: 通过 API 登录 + 导航到指定路径
36 | async function loginAndGo(page: Page, path: string) {
37 | await apiLogin(page);
38 | // 重新导航到目标路径 (localStorage 已设置React 应识别为已登录)
39 | await page.goto(path, { waitUntil: 'networkidle' });
40 | // 等待主内容区加载
> 41 | await page.waitForSelector('#main-content', { timeout: 15000 });
| ^ TimeoutError: page.waitForSelector: Timeout 15000ms exceeded.
42 | }
43 |
44 | // ── A1: 登录→Dashboard ────────────────────────────────────────────
45 |
46 | test('A1: 登录→Dashboard 5个统计卡片', async ({ page }) => {
47 | // 导航到登录页
48 | await page.goto('/login');
49 | await expect(page.getByPlaceholder('请输入用户名')).toBeVisible({ timeout: 10000 });
50 |
51 | // 填写表单
52 | await page.getByPlaceholder('请输入用户名').fill(ADMIN_USER);
53 | await page.getByPlaceholder('请输入密码').fill(ADMIN_PASS);
54 |
55 | // 提交 (Ant Design 按钮文本有全角空格 "登 录")
56 | const loginBtn = page.locator('button').filter({ hasText: /登/ }).first();
57 | await loginBtn.click();
58 |
59 | // 验证跳转到 Dashboard (可能需要等待 API 响应)
60 | await expect(page).toHaveURL(/\/(login)?$/, { timeout: 20000 });
61 |
62 | // 验证 5 个统计卡片
63 | await expect(page.getByText('总账号')).toBeVisible({ timeout: 10000 });
64 | await expect(page.getByText('活跃服务商')).toBeVisible();
65 | await expect(page.getByText('活跃模型')).toBeVisible();
66 | await expect(page.getByText('今日请求')).toBeVisible();
67 | await expect(page.getByText('今日 Token')).toBeVisible();
68 |
69 | // 验证统计卡片有数值 (不是 loading 状态)
70 | const statCards = page.locator('.ant-statistic-content-value');
71 | await expect(statCards.first()).not.toBeEmpty({ timeout: 10000 });
72 | });
73 |
74 | // ── A2: Provider CRUD ──────────────────────────────────────────────
75 |
76 | test('A2: Provider 创建→列表可见→禁用', async ({ page }) => {
77 | // 通过 API 创建 Provider
78 | await apiLogin(page);
79 | const createRes = await page.request.post(`${SaaS_BASE}/providers`, {
80 | data: {
81 | name: `smoke_provider_${Date.now()}`,
82 | provider_type: 'openai',
83 | base_url: 'https://api.smoke.test/v1',
84 | enabled: true,
85 | display_name: 'Smoke Test Provider',
86 | },
87 | });
88 | if (!createRes.ok()) {
89 | const body = await createRes.text();
90 | console.log(`A2: Provider create failed: ${createRes.status()}${body.slice(0, 300)}`);
91 | }
92 | expect(createRes.ok()).toBeTruthy();
93 |
94 | // 导航到 Model Services 页面
95 | await page.goto('/model-services');
96 | await page.waitForSelector('#main-content', { timeout: 15000 });
97 |
98 | // 切换到 Provider tab (如果存在 tab 切换)
99 | const providerTab = page.getByRole('tab', { name: /服务商|Provider/i });
100 | if (await providerTab.isVisible()) {
101 | await providerTab.click();
102 | }
103 |
104 | // 验证 Provider 列表非空
105 | const tableRows = page.locator('.ant-table-row');
106 | await expect(tableRows.first()).toBeVisible({ timeout: 10000 });
107 | expect(await tableRows.count()).toBeGreaterThan(0);
108 | });
109 |
110 | // ── A3: Account 管理 ───────────────────────────────────────────────
111 |
112 | test('A3: Account 列表加载→角色可见', async ({ page }) => {
113 | await loginAndGo(page, '/accounts');
114 |
115 | // 验证表格加载
116 | const tableRows = page.locator('.ant-table-row');
117 | await expect(tableRows.first()).toBeVisible({ timeout: 10000 });
118 |
119 | // 至少有 testadmin 自己
120 | expect(await tableRows.count()).toBeGreaterThanOrEqual(1);
121 |
122 | // 验证有角色列
123 | const roleText = await page.locator('.ant-table').textContent();
124 | expect(roleText).toMatch(/super_admin|admin|user/);
125 | });
126 |
127 | // ── A4: 知识管理 ───────────────────────────────────────────────────
128 |
129 | test('A4: 知识分类→条目→搜索', async ({ page }) => {
130 | // 通过 API 创建分类和条目
131 | await apiLogin(page);
132 |
133 | const catRes = await page.request.post(`${SaaS_BASE}/knowledge/categories`, {
134 | data: { name: `smoke_cat_${Date.now()}`, description: 'Smoke test category' },
135 | });
136 | expect(catRes.ok()).toBeTruthy();
137 | const catJson = await catRes.json();
138 |
139 | const itemRes = await page.request.post(`${SaaS_BASE}/knowledge/items`, {
140 | data: {
141 | title: 'Smoke Test Knowledge Item',
```

View File

@@ -0,0 +1,196 @@
/**
* Smoke Tests — Admin V2 连通性断裂探测
*
* 6 个冒烟测试验证 Admin V2 页面与 SaaS 后端的完整连通性。
* 所有测试使用真实浏览器 + 真实 SaaS Server。
*
* 前提条件:
* - SaaS Server 运行在 http://localhost:8080
* - Admin V2 dev server 运行在 http://localhost:5173
* - 种子用户: testadmin / Admin123456 (super_admin)
*
* 运行: cd admin-v2 && npx playwright test smoke_admin
*/
import { test, expect, type Page } from '@playwright/test';
const SaaS_BASE = 'http://localhost:8080/api/v1';
const ADMIN_USER = 'admin';
const ADMIN_PASS = 'admin123';
// Helper: 通过 API 登录获取 HttpOnly cookie + 设置 localStorage
async function apiLogin(page: Page) {
const res = await page.request.post(`${SaaS_BASE}/auth/login`, {
data: { username: ADMIN_USER, password: ADMIN_PASS },
});
const json = await res.json();
// 设置 localStorage 让 Admin V2 AuthGuard 认为已登录
await page.goto('/');
await page.evaluate((account) => {
localStorage.setItem('zclaw_admin_account', JSON.stringify(account));
}, json.account);
return json;
}
// Helper: 通过 API 登录 + 导航到指定路径
async function loginAndGo(page: Page, path: string) {
await apiLogin(page);
// 重新导航到目标路径 (localStorage 已设置React 应识别为已登录)
await page.goto(path, { waitUntil: 'networkidle' });
// 等待主内容区加载
await page.waitForSelector('#main-content', { timeout: 15000 });
}
// ── A1: 登录→Dashboard ────────────────────────────────────────────
test('A1: 登录→Dashboard 5个统计卡片', async ({ page }) => {
// 导航到登录页
await page.goto('/login');
await expect(page.getByPlaceholder('请输入用户名')).toBeVisible({ timeout: 10000 });
// 填写表单
await page.getByPlaceholder('请输入用户名').fill(ADMIN_USER);
await page.getByPlaceholder('请输入密码').fill(ADMIN_PASS);
// 提交 (Ant Design 按钮文本有全角空格 "登 录")
const loginBtn = page.locator('button').filter({ hasText: /登/ }).first();
await loginBtn.click();
// 验证跳转到 Dashboard (可能需要等待 API 响应)
await expect(page).toHaveURL(/\/(login)?$/, { timeout: 20000 });
// 验证 5 个统计卡片
await expect(page.getByText('总账号')).toBeVisible({ timeout: 10000 });
await expect(page.getByText('活跃服务商')).toBeVisible();
await expect(page.getByText('活跃模型')).toBeVisible();
await expect(page.getByText('今日请求')).toBeVisible();
await expect(page.getByText('今日 Token')).toBeVisible();
// 验证统计卡片有数值 (不是 loading 状态)
const statCards = page.locator('.ant-statistic-content-value');
await expect(statCards.first()).not.toBeEmpty({ timeout: 10000 });
});
// ── A2: Provider CRUD ──────────────────────────────────────────────
test('A2: Provider 创建→列表可见→禁用', async ({ page }) => {
// 通过 API 创建 Provider
await apiLogin(page);
const createRes = await page.request.post(`${SaaS_BASE}/providers`, {
data: {
name: `smoke_provider_${Date.now()}`,
provider_type: 'openai',
base_url: 'https://api.smoke.test/v1',
enabled: true,
display_name: 'Smoke Test Provider',
},
});
if (!createRes.ok()) {
const body = await createRes.text();
console.log(`A2: Provider create failed: ${createRes.status()}${body.slice(0, 300)}`);
}
expect(createRes.ok()).toBeTruthy();
// 导航到 Model Services 页面
await page.goto('/model-services');
await page.waitForSelector('#main-content', { timeout: 15000 });
// 切换到 Provider tab (如果存在 tab 切换)
const providerTab = page.getByRole('tab', { name: /服务商|Provider/i });
if (await providerTab.isVisible()) {
await providerTab.click();
}
// 验证 Provider 列表非空
const tableRows = page.locator('.ant-table-row');
await expect(tableRows.first()).toBeVisible({ timeout: 10000 });
expect(await tableRows.count()).toBeGreaterThan(0);
});
// ── A3: Account 管理 ───────────────────────────────────────────────
test('A3: Account 列表加载→角色可见', async ({ page }) => {
await loginAndGo(page, '/accounts');
// 验证表格加载
const tableRows = page.locator('.ant-table-row');
await expect(tableRows.first()).toBeVisible({ timeout: 10000 });
// 至少有 testadmin 自己
expect(await tableRows.count()).toBeGreaterThanOrEqual(1);
// 验证有角色列
const roleText = await page.locator('.ant-table').textContent();
expect(roleText).toMatch(/super_admin|admin|user/);
});
// ── A4: 知识管理 ───────────────────────────────────────────────────
test('A4: 知识分类→条目→搜索', async ({ page }) => {
// 通过 API 创建分类和条目
await apiLogin(page);
const catRes = await page.request.post(`${SaaS_BASE}/knowledge/categories`, {
data: { name: `smoke_cat_${Date.now()}`, description: 'Smoke test category' },
});
expect(catRes.ok()).toBeTruthy();
const catJson = await catRes.json();
const itemRes = await page.request.post(`${SaaS_BASE}/knowledge/items`, {
data: {
title: 'Smoke Test Knowledge Item',
content: 'This is a smoke test knowledge entry for E2E testing.',
category_id: catJson.id,
tags: ['smoke', 'test'],
},
});
expect(itemRes.ok()).toBeTruthy();
// 导航到知识库页面
await page.goto('/knowledge');
await page.waitForSelector('#main-content', { timeout: 15000 });
// 验证页面加载 (有内容)
const content = await page.locator('#main-content').textContent();
expect(content!.length).toBeGreaterThan(0);
});
// ── A5: 角色权限 ───────────────────────────────────────────────────
test('A5: 角色页面加载→角色列表非空', async ({ page }) => {
await loginAndGo(page, '/roles');
// 验证角色内容加载
await page.waitForTimeout(1000);
// 检查页面有角色相关内容 (可能是表格或卡片)
const content = await page.locator('#main-content').textContent();
expect(content!.length).toBeGreaterThan(0);
// 通过 API 验证角色存在
const rolesRes = await page.request.get(`${SaaS_BASE}/roles`);
expect(rolesRes.ok()).toBeTruthy();
const rolesJson = await rolesRes.json();
expect(Array.isArray(rolesJson) || rolesJson.roles).toBeTruthy();
});
// ── A6: 模型+Key池 ────────────────────────────────────────────────
test('A6: 模型服务页面加载→Provider和Model tab可见', async ({ page }) => {
await loginAndGo(page, '/model-services');
// 验证页面标题或内容
const content = await page.locator('#main-content').textContent();
expect(content!.length).toBeGreaterThan(0);
// 检查是否有 Tab 切换 (服务商/模型/API Key)
const tabs = page.locator('.ant-tabs-tab');
if (await tabs.first().isVisible()) {
const tabCount = await tabs.count();
expect(tabCount).toBeGreaterThanOrEqual(1);
}
// 通过 API 验证能列出 Provider
const provRes = await page.request.get(`${SaaS_BASE}/providers`);
expect(provRes.ok()).toBeTruthy();
});

View File

@@ -101,7 +101,6 @@ describe('Config page', () => {
renderWithProviders(<Config />)
expect(screen.getByText('系统配置')).toBeInTheDocument()
expect(screen.getByText('管理系统运行参数和功能开关')).toBeInTheDocument()
})
it('fetches and displays config items', async () => {

View File

@@ -111,7 +111,7 @@ describe('Login page', () => {
it('renders the login form with username and password fields', () => {
renderLogin()
expect(screen.getByText('登录到 ZCLAW')).toBeInTheDocument()
expect(screen.getByText('登录')).toBeInTheDocument()
expect(screen.getByPlaceholderText('请输入用户名')).toBeInTheDocument()
expect(screen.getByPlaceholderText('请输入密码')).toBeInTheDocument()
const submitButton = getSubmitButton()
@@ -121,8 +121,10 @@ describe('Login page', () => {
it('shows the ZCLAW brand logo', () => {
renderLogin()
expect(screen.getByText('Z')).toBeInTheDocument()
expect(screen.getByText(/ZCLAW Admin/)).toBeInTheDocument()
// "Z" logo appears in both desktop brand panel and mobile-only logo
const zElements = screen.getAllByText('Z')
expect(zElements.length).toBeGreaterThanOrEqual(1)
expect(screen.getByText('AI Agent 管理平台')).toBeInTheDocument()
})
it('successful login calls authStore.login and navigates to /', async () => {
@@ -136,11 +138,7 @@ describe('Login page', () => {
await user.click(getSubmitButton())
await waitFor(() => {
expect(mockLogin).toHaveBeenCalledWith(
'jwt-token-123',
'refresh-token-456',
mockAccount,
)
expect(mockLogin).toHaveBeenCalledWith(mockAccount)
})
expect(mockNavigate).toHaveBeenCalledWith('/', { replace: true })

View File

@@ -90,7 +90,6 @@ describe('Logs page', () => {
renderWithProviders(<Logs />)
expect(screen.getByText('操作日志')).toBeInTheDocument()
expect(screen.getByText('系统审计与操作记录')).toBeInTheDocument()
})
it('fetches and displays log entries', async () => {
@@ -130,7 +129,7 @@ describe('Logs page', () => {
})
})
it('shows ErrorState on API failure with retry button', async () => {
it('shows empty table on API failure', async () => {
server.use(
http.get('*/api/v1/logs/operations', () => {
return HttpResponse.json(
@@ -142,13 +141,13 @@ describe('Logs page', () => {
renderWithProviders(<Logs />)
// ErrorState renders the error message
// Page header is still present even on error
expect(screen.getByText('操作日志')).toBeInTheDocument()
// No log entries rendered
await waitFor(() => {
expect(screen.getByText('服务器内部错误')).toBeInTheDocument()
expect(screen.queryByText('登录')).not.toBeInTheDocument()
})
// Ant Design Button splits two-character text with a space: "重 试"
const retryButton = screen.getByRole('button', { name: /重.?试/ })
expect(retryButton).toBeInTheDocument()
})
it('renders action as a colored tag', async () => {

View File

@@ -86,7 +86,7 @@ function renderWithProviders(ui: React.ReactElement) {
// ── Tests ────────────────────────────────────────────────────
describe('ModelServices page', () => {
it('renders page header', async () => {
it('renders page with provider table', async () => {
server.use(
http.get('*/api/v1/providers', () => {
return HttpResponse.json(mockProviders)
@@ -95,8 +95,8 @@ describe('ModelServices page', () => {
renderWithProviders(<ModelServices />)
expect(screen.getByText('模型服务')).toBeInTheDocument()
expect(screen.getByText('管理 AI 服务商、模型配置和 Key 池')).toBeInTheDocument()
// "新建服务商" button is rendered by toolBarRender
expect(screen.getByText('新建服务商')).toBeInTheDocument()
})
it('fetches and displays providers', async () => {
@@ -173,8 +173,8 @@ describe('ModelServices page', () => {
renderWithProviders(<ModelServices />)
// Page header should still render
expect(screen.getByText('模型服务')).toBeInTheDocument()
// "新建服务商" button should still render
expect(screen.getByText('新建服务')).toBeInTheDocument()
// Provider names should NOT be rendered
await waitFor(() => {

View File

@@ -92,8 +92,7 @@ describe('Prompts page', () => {
renderWithProviders(<Prompts />)
expect(screen.getByText('提示词管理')).toBeInTheDocument()
expect(screen.getByText('管理系统提示词模板和版本历史')).toBeInTheDocument()
// "新建提示词" button is rendered by toolBarRender
expect(screen.getByText('新建提示词')).toBeInTheDocument()
})

View File

@@ -98,7 +98,7 @@ describe('Usage page', () => {
renderWithProviders(<Usage />)
expect(screen.getByText('用量统计')).toBeInTheDocument()
expect(screen.getByText('查看模型使用情况Token 消耗')).toBeInTheDocument()
expect(screen.getByText('查看模型使用情况Token 消耗和用户转化')).toBeInTheDocument()
// Summary card titles
expect(screen.getByText('总请求数')).toBeInTheDocument()

View File

@@ -1,24 +1,22 @@
// ============================================================
// request.ts 拦截器测试
// ============================================================
//
// 认证策略已迁移到 HttpOnly cookie 模式。
// 浏览器自动附加 cookiewithCredentials: trueJS 不操作 token。
import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'
import { http, HttpResponse } from 'msw'
import { setupServer } from 'msw/node'
// ── Hoisted: mock functions + store (accessible in vi.mock factory) ──
const { mockSetToken, mockSetRefreshToken, mockLogout, _store } = vi.hoisted(() => {
const mockSetToken = vi.fn()
const mockSetRefreshToken = vi.fn()
// ── Hoisted: mock store (cookie-based auth — no JS token) ──
const { mockLogout, _store } = vi.hoisted(() => {
const mockLogout = vi.fn()
const _store = {
token: null as string | null,
refreshToken: null as string | null,
setToken: mockSetToken,
setRefreshToken: mockSetRefreshToken,
isAuthenticated: false,
logout: mockLogout,
}
return { mockSetToken, mockSetRefreshToken, mockLogout, _store }
return { mockLogout, _store }
})
vi.mock('@/stores/authStore', () => ({
@@ -38,11 +36,8 @@ const server = setupServer()
beforeEach(() => {
server.listen({ onUnhandledRequest: 'bypass' })
mockSetToken.mockClear()
mockSetRefreshToken.mockClear()
mockLogout.mockClear()
_store.token = null
_store.refreshToken = null
_store.isAuthenticated = false
})
afterEach(() => {
@@ -50,34 +45,22 @@ afterEach(() => {
})
describe('request interceptor', () => {
it('attaches Authorization header when token exists', async () => {
let capturedAuth: string | null = null
it('sends requests with credentials (cookie-based auth)', async () => {
let capturedCreds = false
server.use(
http.get('*/api/v1/test', ({ request }) => {
capturedAuth = request.headers.get('Authorization')
// Cookie-based auth: the browser sends cookies automatically.
// We verify the request was made successfully.
capturedCreds = true
return HttpResponse.json({ ok: true })
}),
)
setStoreState({ token: 'test-jwt-token' })
await request.get('/test')
setStoreState({ isAuthenticated: true })
const res = await request.get('/test')
expect(capturedAuth).toBe('Bearer test-jwt-token')
})
it('does not attach Authorization header when no token', async () => {
let capturedAuth: string | null = null
server.use(
http.get('*/api/v1/test', ({ request }) => {
capturedAuth = request.headers.get('Authorization')
return HttpResponse.json({ ok: true })
}),
)
setStoreState({ token: null })
await request.get('/test')
expect(capturedAuth).toBeNull()
expect(res.data).toEqual({ ok: true })
expect(capturedCreds).toBe(true)
})
it('wraps non-401 errors as ApiRequestError', async () => {
@@ -116,7 +99,7 @@ describe('request interceptor', () => {
}
})
it('handles 401 with refresh token success', async () => {
it('handles 401 when authenticated — refreshes cookie and retries', async () => {
let callCount = 0
server.use(
@@ -128,26 +111,25 @@ describe('request interceptor', () => {
return HttpResponse.json({ data: 'success' })
}),
http.post('*/api/v1/auth/refresh', () => {
return HttpResponse.json({ token: 'new-jwt', refresh_token: 'new-refresh' })
// Server sets new HttpOnly cookie in response — no JS token needed
return HttpResponse.json({ ok: true })
}),
)
setStoreState({ token: 'old-jwt', refreshToken: 'old-refresh' })
setStoreState({ isAuthenticated: true })
const res = await request.get('/protected')
expect(res.data).toEqual({ data: 'success' })
expect(mockSetToken).toHaveBeenCalledWith('new-jwt')
expect(mockSetRefreshToken).toHaveBeenCalledWith('new-refresh')
})
it('handles 401 with no refresh token — calls logout immediately', async () => {
it('handles 401 when not authenticated — calls logout immediately', async () => {
server.use(
http.get('*/api/v1/norefresh', () => {
return HttpResponse.json({ error: 'unauthorized' }, { status: 401 })
}),
)
setStoreState({ token: 'old-jwt', refreshToken: null })
setStoreState({ isAuthenticated: false })
try {
await request.get('/norefresh')
@@ -167,7 +149,7 @@ describe('request interceptor', () => {
}),
)
setStoreState({ token: 'old-jwt', refreshToken: 'old-refresh' })
setStoreState({ isAuthenticated: true })
try {
await request.get('/refreshfail')

View File

@@ -36,27 +36,23 @@ describe('authStore', () => {
mockFetch.mockClear()
// Reset store state
useAuthStore.setState({
token: null,
refreshToken: null,
isAuthenticated: false,
account: null,
permissions: [],
})
})
it('login sets token, refreshToken, account and permissions', () => {
const store = useAuthStore.getState()
store.login('jwt-token', 'refresh-token', mockAccount)
it('login sets isAuthenticated, account and permissions', () => {
useAuthStore.getState().login(mockAccount)
const state = useAuthStore.getState()
expect(state.token).toBe('jwt-token')
expect(state.refreshToken).toBe('refresh-token')
expect(state.isAuthenticated).toBe(true)
expect(state.account).toEqual(mockAccount)
expect(state.permissions).toContain('provider:manage')
})
it('super_admin gets admin:full + all permissions', () => {
const store = useAuthStore.getState()
store.login('jwt', 'refresh', superAdminAccount)
useAuthStore.getState().login(superAdminAccount)
const state = useAuthStore.getState()
expect(state.permissions).toContain('admin:full')
@@ -66,8 +62,7 @@ describe('authStore', () => {
it('user role gets only basic permissions', () => {
const userAccount: AccountPublic = { ...mockAccount, role: 'user' }
const store = useAuthStore.getState()
store.login('jwt', 'refresh', userAccount)
useAuthStore.getState().login(userAccount)
const state = useAuthStore.getState()
expect(state.permissions).toContain('model:read')
@@ -75,41 +70,51 @@ describe('authStore', () => {
expect(state.permissions).not.toContain('provider:manage')
})
it('logout clears all state', () => {
useAuthStore.getState().login('jwt', 'refresh', mockAccount)
it('logout clears all state and calls API', () => {
useAuthStore.getState().login(mockAccount)
useAuthStore.getState().logout()
const state = useAuthStore.getState()
expect(state.token).toBeNull()
expect(state.refreshToken).toBeNull()
expect(state.isAuthenticated).toBe(false)
expect(state.account).toBeNull()
expect(state.permissions).toEqual([])
expect(localStorage.getItem('zclaw_admin_account')).toBeNull()
expect(mockFetch).toHaveBeenCalledTimes(1)
})
it('hasPermission returns true for matching permission', () => {
useAuthStore.getState().login('jwt', 'refresh', mockAccount)
useAuthStore.getState().login(mockAccount)
expect(useAuthStore.getState().hasPermission('provider:manage')).toBe(true)
expect(useAuthStore.getState().hasPermission('config:write')).toBe(true)
})
it('hasPermission returns false for non-matching permission', () => {
useAuthStore.getState().login('jwt', 'refresh', mockAccount)
useAuthStore.getState().login(mockAccount)
expect(useAuthStore.getState().hasPermission('admin:full')).toBe(false)
})
it('admin:full grants all permissions via wildcard', () => {
useAuthStore.getState().login('jwt', 'refresh', superAdminAccount)
useAuthStore.getState().login(superAdminAccount)
expect(useAuthStore.getState().hasPermission('anything:here')).toBe(true)
expect(useAuthStore.getState().hasPermission('made:up')).toBe(true)
})
it('persists account to localStorage on login', () => {
useAuthStore.getState().login('jwt', 'refresh', mockAccount)
useAuthStore.getState().login(mockAccount)
const stored = localStorage.getItem('zclaw_admin_account')
expect(stored).not.toBeNull()
expect(JSON.parse(stored!).username).toBe('testuser')
})
it('restores account from localStorage on store creation', () => {
localStorage.setItem('zclaw_admin_account', JSON.stringify(mockAccount))
// Re-import to trigger loadFromStorage — simulate by calling setState + reading
// In practice, Zustand reads localStorage on module load
// We test that the store can handle pre-existing localStorage data
const raw = localStorage.getItem('zclaw_admin_account')
expect(raw).not.toBeNull()
expect(JSON.parse(raw!).role).toBe('admin')
})
})

View File

@@ -20,7 +20,7 @@ export default defineConfig({
timeout: 600_000,
proxyTimeout: 600_000,
},
'/api': {
'/api/': {
target: 'http://localhost:8080',
changeOrigin: true,
timeout: 30_000,

View File

@@ -25,12 +25,19 @@ max_output_tokens = 4096
supports_streaming = true
[[llm.providers.models]]
id = "glm-4-flash"
alias = "GLM-4-Flash"
id = "glm-4-flash-250414"
alias = "GLM-4-Flash (免费)"
context_window = 128000
max_output_tokens = 4096
supports_streaming = true
[[llm.providers.models]]
id = "glm-z1-flash"
alias = "GLM-Z1-Flash (免费推理)"
context_window = 128000
max_output_tokens = 16384
supports_streaming = true
[[llm.providers.models]]
id = "glm-4v-plus"
alias = "GLM-4V-Plus (视觉)"

View File

@@ -129,7 +129,7 @@ retry_delay = "1s"
[llm.aliases]
# 智谱 GLM 模型 (使用正确的 API 模型 ID)
"glm-4-flash" = "zhipu/glm-4-flash"
"glm-4-flash" = "zhipu/glm-4-flash-250414"
"glm-4-plus" = "zhipu/glm-4-plus"
"glm-4.5" = "zhipu/glm-4.5"
# 其他模型

View File

@@ -0,0 +1,367 @@
//! ExperienceStore — CRUD wrapper over VikingStorage for agent experiences.
//!
//! Stores structured experiences extracted from successful solution proposals
//! using the scope prefix `agent://{agent_id}/experience/{pattern_hash}`.
//! Leverages existing FTS5 + TF-IDF + embedding retrieval via VikingAdapter.
use std::sync::Arc;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use tracing::{debug, warn};
use uuid::Uuid;
use crate::types::{MemoryEntry, MemoryType};
use crate::viking_adapter::{FindOptions, VikingAdapter};
// ---------------------------------------------------------------------------
// Experience data model
// ---------------------------------------------------------------------------
/// A structured experience record representing a solved pain point.
///
/// Stored as JSON content inside a VikingStorage `MemoryEntry` with
/// `memory_type = Experience`.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Experience {
/// Unique experience identifier.
pub id: String,
/// Owning agent.
pub agent_id: String,
/// Short pattern describing the pain that was solved (e.g. "logistics export packaging").
pub pain_pattern: String,
/// Context in which the problem occurred.
pub context: String,
/// Ordered steps that resolved the problem.
pub solution_steps: Vec<String>,
/// Verbal outcome reported by the user.
pub outcome: String,
/// How many times this experience has been reused as a reference.
pub reuse_count: u32,
/// Timestamp of initial creation.
pub created_at: DateTime<Utc>,
/// Timestamp of most recent reuse or update.
pub updated_at: DateTime<Utc>,
/// Associated industry ID (e.g. "ecommerce", "healthcare").
#[serde(default)]
pub industry_context: Option<String>,
/// Which trigger signal produced this experience.
#[serde(default)]
pub source_trigger: Option<String>,
}
impl Experience {
/// Create a new experience with the given fields.
pub fn new(
agent_id: &str,
pain_pattern: &str,
context: &str,
solution_steps: Vec<String>,
outcome: &str,
) -> Self {
let now = Utc::now();
Self {
id: Uuid::new_v4().to_string(),
agent_id: agent_id.to_string(),
pain_pattern: pain_pattern.to_string(),
context: context.to_string(),
solution_steps,
outcome: outcome.to_string(),
reuse_count: 0,
created_at: now,
updated_at: now,
industry_context: None,
source_trigger: None,
}
}
/// Deterministic URI for this experience, keyed on a stable hash of the
/// pain pattern so duplicate patterns overwrite the same entry.
pub fn uri(&self) -> String {
let hash = simple_hash(&self.pain_pattern);
format!("agent://{}/experience/{}", self.agent_id, hash)
}
}
/// FNV-1ainspired stable 8-hex-char hash. Good enough for deduplication;
/// collisions are acceptable because the full `pain_pattern` is still stored.
fn simple_hash(s: &str) -> String {
let mut h: u32 = 2166136261;
for b in s.as_bytes() {
h ^= *b as u32;
h = h.wrapping_mul(16777619);
}
format!("{:08x}", h)
}
// ---------------------------------------------------------------------------
// ExperienceStore
// ---------------------------------------------------------------------------
/// CRUD wrapper that persists [`Experience`] records through [`VikingAdapter`].
pub struct ExperienceStore {
viking: Arc<VikingAdapter>,
}
impl ExperienceStore {
/// Create a new store backed by the given VikingAdapter.
pub fn new(viking: Arc<VikingAdapter>) -> Self {
Self { viking }
}
/// Store (or overwrite) an experience. The URI is derived from
/// `agent_id + pain_pattern`, ensuring one experience per pattern.
pub async fn store_experience(&self, exp: &Experience) -> zclaw_types::Result<()> {
let uri = exp.uri();
let content = serde_json::to_string(exp)?;
let mut keywords = vec![exp.pain_pattern.clone()];
keywords.extend(exp.solution_steps.iter().take(3).cloned());
if let Some(ref industry) = exp.industry_context {
keywords.push(industry.clone());
}
let entry = MemoryEntry {
uri,
memory_type: MemoryType::Experience,
content,
keywords,
importance: 8,
access_count: 0,
created_at: exp.created_at,
last_accessed: exp.updated_at,
overview: Some(exp.pain_pattern.clone()),
abstract_summary: Some(exp.outcome.clone()),
};
self.viking.store(&entry).await?;
debug!("[ExperienceStore] Stored experience {} for agent {}", exp.id, exp.agent_id);
Ok(())
}
/// Find experiences whose pain pattern matches the given query.
pub async fn find_by_pattern(
&self,
agent_id: &str,
pattern_query: &str,
) -> zclaw_types::Result<Vec<Experience>> {
let scope = format!("agent://{}/experience/", agent_id);
let opts = FindOptions {
scope: Some(scope),
limit: Some(10),
min_similarity: None,
};
let entries = self.viking.find(pattern_query, opts).await?;
let mut results = Vec::with_capacity(entries.len());
for entry in entries {
match serde_json::from_str::<Experience>(&entry.content) {
Ok(exp) => results.push(exp),
Err(e) => warn!("[ExperienceStore] Failed to deserialize experience at {}: {}", entry.uri, e),
}
}
Ok(results)
}
/// Return all experiences for a given agent.
pub async fn find_by_agent(
&self,
agent_id: &str,
) -> zclaw_types::Result<Vec<Experience>> {
let prefix = format!("agent://{}/experience/", agent_id);
let entries = self.viking.find_by_prefix(&prefix).await?;
let mut results = Vec::with_capacity(entries.len());
for entry in entries {
match serde_json::from_str::<Experience>(&entry.content) {
Ok(exp) => results.push(exp),
Err(e) => warn!("[ExperienceStore] Failed to deserialize experience at {}: {}", entry.uri, e),
}
}
Ok(results)
}
/// Increment the reuse counter for an existing experience.
/// On failure, logs a warning but does **not** propagate the error so
/// callers are never blocked.
pub async fn increment_reuse(&self, exp: &Experience) {
let mut updated = exp.clone();
updated.reuse_count += 1;
updated.updated_at = Utc::now();
if let Err(e) = self.store_experience(&updated).await {
warn!("[ExperienceStore] Failed to increment reuse for {}: {}", exp.id, e);
}
}
/// Delete a single experience by its URI.
pub async fn delete(&self, exp: &Experience) -> zclaw_types::Result<()> {
let uri = exp.uri();
self.viking.delete(&uri).await?;
debug!("[ExperienceStore] Deleted experience {} for agent {}", exp.id, exp.agent_id);
Ok(())
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_experience_new() {
let exp = Experience::new(
"agent-1",
"logistics export packaging",
"export packaging rejected by customs",
vec!["check regulations".into(), "use approved materials".into()],
"packaging passed customs",
);
assert!(!exp.id.is_empty());
assert_eq!(exp.agent_id, "agent-1");
assert_eq!(exp.solution_steps.len(), 2);
assert_eq!(exp.reuse_count, 0);
}
#[test]
fn test_uri_deterministic() {
let exp1 = Experience::new(
"agent-1", "packaging issue", "ctx",
vec!["step1".into()], "ok",
);
// Second experience with same agent + pattern should produce the same URI.
let mut exp2 = exp1.clone();
exp2.id = "different-id".to_string();
assert_eq!(exp1.uri(), exp2.uri());
}
#[test]
fn test_uri_differs_for_different_patterns() {
let exp_a = Experience::new(
"agent-1", "packaging issue", "ctx",
vec!["step1".into()], "ok",
);
let exp_b = Experience::new(
"agent-1", "compliance gap", "ctx",
vec!["step1".into()], "ok",
);
assert_ne!(exp_a.uri(), exp_b.uri());
}
#[test]
fn test_simple_hash_stability() {
let h1 = simple_hash("hello world");
let h2 = simple_hash("hello world");
assert_eq!(h1, h2);
assert_eq!(h1.len(), 8);
}
#[tokio::test]
async fn test_store_and_find_by_agent() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-42",
"export document errors",
"recurring mistakes in export docs",
vec!["use template".into(), "auto-validate".into()],
"no more errors",
);
store.store_experience(&exp).await.unwrap();
let found = store.find_by_agent("agent-42").await.unwrap();
assert_eq!(found.len(), 1);
assert_eq!(found[0].pain_pattern, "export document errors");
assert_eq!(found[0].solution_steps.len(), 2);
}
#[tokio::test]
async fn test_store_overwrites_same_pattern() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp_v1 = Experience::new(
"agent-1", "packaging", "v1",
vec!["old step".into()], "ok",
);
store.store_experience(&exp_v1).await.unwrap();
let exp_v2 = Experience::new(
"agent-1", "packaging", "v2 updated",
vec!["new step".into()], "better",
);
// Force same URI by reusing the ID logic — same pattern → same URI.
store.store_experience(&exp_v2).await.unwrap();
let found = store.find_by_agent("agent-1").await.unwrap();
// Should be overwritten, not duplicated (same URI).
assert_eq!(found.len(), 1);
assert_eq!(found[0].context, "v2 updated");
}
#[tokio::test]
async fn test_find_by_pattern() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-1",
"logistics packaging compliance",
"export compliance issues",
vec!["check regulations".into()],
"passed audit",
);
store.store_experience(&exp).await.unwrap();
let found = store.find_by_pattern("agent-1", "packaging").await.unwrap();
assert_eq!(found.len(), 1);
}
#[tokio::test]
async fn test_increment_reuse() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-1", "packaging", "ctx",
vec!["step".into()], "ok",
);
store.store_experience(&exp).await.unwrap();
store.increment_reuse(&exp).await;
let found = store.find_by_agent("agent-1").await.unwrap();
assert_eq!(found[0].reuse_count, 1);
}
#[tokio::test]
async fn test_delete_experience() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp = Experience::new(
"agent-1", "packaging", "ctx",
vec!["step".into()], "ok",
);
store.store_experience(&exp).await.unwrap();
store.delete(&exp).await.unwrap();
let found = store.find_by_agent("agent-1").await.unwrap();
assert!(found.is_empty());
}
#[tokio::test]
async fn test_find_by_agent_filters_other_agents() {
let viking = Arc::new(VikingAdapter::in_memory());
let store = ExperienceStore::new(viking);
let exp_a = Experience::new("agent-a", "packaging", "ctx", vec!["s".into()], "ok");
let exp_b = Experience::new("agent-b", "compliance", "ctx", vec!["s".into()], "ok");
store.store_experience(&exp_a).await.unwrap();
store.store_experience(&exp_b).await.unwrap();
let found_a = store.find_by_agent("agent-a").await.unwrap();
assert_eq!(found_a.len(), 1);
assert_eq!(found_a[0].pain_pattern, "packaging");
}
}

View File

@@ -64,6 +64,7 @@ pub mod viking_adapter;
pub mod storage;
pub mod retrieval;
pub mod summarizer;
pub mod experience_store;
// Re-export main types for convenience
pub use types::{
@@ -85,6 +86,7 @@ pub use injector::{InjectionFormat, PromptInjector};
pub use tracker::{AgentMetadata, GrowthTracker, LearningEvent};
pub use viking_adapter::{FindOptions, VikingAdapter, VikingLevel, VikingStorage};
pub use storage::SqliteStorage;
pub use experience_store::{Experience, ExperienceStore};
pub use retrieval::{EmbeddingClient, MemoryCache, QueryAnalyzer, SemanticScorer};
pub use summarizer::SummaryLlmDriver;

View File

@@ -41,6 +41,11 @@ pub(crate) struct MemoryRow {
}
impl SqliteStorage {
/// Get a reference to the underlying connection pool
pub fn pool(&self) -> &SqlitePool {
&self.pool
}
/// Create a new SQLite storage at the given path
pub async fn new(path: impl Into<PathBuf>) -> Result<Self> {
let path = path.into();
@@ -127,13 +132,16 @@ impl SqliteStorage {
.map_err(|e| ZclawError::StorageError(format!("Failed to create memories table: {}", e)))?;
// Create FTS5 virtual table for full-text search
// Use trigram tokenizer for CJK (Chinese/Japanese/Korean) support.
// unicode61 cannot tokenize CJK characters, causing memory search to fail.
// trigram indexes overlapping 3-character slices, works well for all languages.
sqlx::query(
r#"
CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(
uri,
content,
keywords,
tokenize='unicode61'
tokenize='trigram'
)
"#,
)
@@ -184,6 +192,46 @@ impl SqliteStorage {
.await
.map_err(|e| ZclawError::StorageError(format!("Failed to create metadata table: {}", e)))?;
// Migration: Rebuild FTS5 table if using old unicode61 tokenizer (can't handle CJK)
// Check tokenizer by inspecting the existing FTS5 table definition
let needs_rebuild: bool = sqlx::query_scalar::<_, i64>(
"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='memories_fts' AND sql LIKE '%unicode61%'"
)
.fetch_one(&self.pool)
.await
.unwrap_or(0) > 0;
if needs_rebuild {
tracing::info!("[SqliteStorage] Rebuilding FTS5 table: unicode61 → trigram for CJK support");
// Drop old FTS5 table
let _ = sqlx::query("DROP TABLE IF EXISTS memories_fts")
.execute(&self.pool)
.await;
// Recreate with trigram tokenizer
sqlx::query(
r#"
CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5(
uri,
content,
keywords,
tokenize='trigram'
)
"#,
)
.execute(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(format!("Failed to recreate FTS5 table: {}", e)))?;
// Reindex all existing memories into FTS5
let reindexed = sqlx::query(
"INSERT INTO memories_fts (uri, content, keywords) SELECT uri, content, keywords FROM memories"
)
.execute(&self.pool)
.await
.map(|r| r.rows_affected())
.unwrap_or(0);
tracing::info!("[SqliteStorage] FTS5 rebuild complete, reindexed {} entries", reindexed);
}
tracing::info!("[SqliteStorage] Database schema initialized");
Ok(())
}
@@ -373,19 +421,37 @@ impl SqliteStorage {
/// Strips these and keeps only alphanumeric + CJK tokens with length > 1,
/// then joins them with `OR` for broad matching.
fn sanitize_fts_query(query: &str) -> String {
let terms: Vec<String> = query
.to_lowercase()
.split(|c: char| !c.is_alphanumeric())
.filter(|s| !s.is_empty() && s.len() > 1)
.map(|s| s.to_string())
.collect();
// trigram tokenizer requires quoted phrases for substring matching
// and needs at least 3 characters per term to produce results.
let lower = query.to_lowercase();
if terms.is_empty() {
return String::new();
// Check if query contains CJK characters — trigram handles them natively
let has_cjk = lower.chars().any(|c| {
matches!(c, '\u{4E00}'..='\u{9FFF}' | '\u{3400}'..='\u{4DBF}' | '\u{F900}'..='\u{FAFF}')
});
if has_cjk {
// For CJK, use the full query as a quoted phrase for substring matching
// trigram will match any 3-char subsequence
if lower.len() >= 3 {
format!("\"{}\"", lower)
} else {
String::new()
}
} else {
// For non-CJK, split into terms and join with OR
let terms: Vec<String> = lower
.split(|c: char| !c.is_alphanumeric())
.filter(|s| !s.is_empty() && s.len() > 1)
.map(|s| format!("\"{}\"", s))
.collect();
if terms.is_empty() {
return String::new();
}
terms.join(" OR ")
}
// Join with OR so any term can match (broad recall, then rerank by similarity)
terms.join(" OR ")
}
/// Fetch memories by scope with importance-based ordering.

View File

@@ -20,6 +20,7 @@ mod researcher;
mod collector;
mod clip;
mod twitter;
pub mod reminder;
pub use whiteboard::*;
pub use slideshow::*;
@@ -30,3 +31,4 @@ pub use researcher::*;
pub use collector::*;
pub use clip::*;
pub use twitter::*;
pub use reminder::*;

View File

@@ -0,0 +1,77 @@
//! Reminder Hand - Internal hand for scheduled reminders
//!
//! This is a system hand (id `_reminder`) used by the schedule interception
//! layer in `agent_chat_stream`. When the NlScheduleParser detects a schedule
//! intent in chat, it creates a trigger targeting this hand. The SchedulerService
//! fires the trigger at the scheduled time.
use async_trait::async_trait;
use serde_json::Value;
use zclaw_types::Result;
use crate::{Hand, HandConfig, HandContext, HandResult, HandStatus};
/// Internal reminder hand for scheduled tasks
pub struct ReminderHand {
config: HandConfig,
}
impl ReminderHand {
/// Create a new reminder hand
pub fn new() -> Self {
Self {
config: HandConfig {
id: "_reminder".to_string(),
name: "定时提醒".to_string(),
description: "Internal hand for scheduled reminders".to_string(),
needs_approval: false,
dependencies: vec![],
input_schema: None,
tags: vec!["system".to_string()],
enabled: true,
max_concurrent: 0,
timeout_secs: 0,
},
}
}
}
#[async_trait]
impl Hand for ReminderHand {
fn config(&self) -> &HandConfig {
&self.config
}
async fn execute(&self, _context: &HandContext, input: Value) -> Result<HandResult> {
let task_desc = input
.get("task_description")
.and_then(|v| v.as_str())
.unwrap_or("定时提醒");
let cron = input
.get("cron")
.and_then(|v| v.as_str())
.unwrap_or("");
let fired_at = input
.get("fired_at")
.and_then(|v| v.as_str())
.unwrap_or("unknown time");
tracing::info!(
"[ReminderHand] Fired at {} — task: {}, cron: {}",
fired_at, task_desc, cron
);
Ok(HandResult::success(serde_json::json!({
"task": task_desc,
"cron": cron,
"fired_at": fired_at,
"status": "reminded",
})))
}
fn status(&self) -> HandStatus {
HandStatus::Idle
}
}

View File

@@ -497,62 +497,34 @@ impl TwitterHand {
}
/// Execute like action — PUT /2/users/:id/likes
///
/// **NOTE**: Twitter API v2 requires OAuth 1.0a user context for like/retweet.
/// Bearer token (app-only auth) is not sufficient and will return 403.
/// This action is currently unavailable until OAuth 1.0a signing is implemented.
async fn execute_like(&self, tweet_id: &str) -> Result<Value> {
let creds = self.get_credentials().await
.ok_or_else(|| zclaw_types::ZclawError::HandError("Twitter credentials not configured".to_string()))?;
let client = reqwest::Client::new();
// Note: For like/retweet, we need OAuth 1.0a user context
// Using Bearer token as fallback (may not work for all endpoints)
let url = "https://api.twitter.com/2/users/me/likes";
let response = client.post(url)
.header("Authorization", format!("Bearer {}", creds.bearer_token.as_deref().unwrap_or("")))
.header("Content-Type", "application/json")
.header("User-Agent", "ZCLAW/1.0")
.json(&json!({"tweet_id": tweet_id}))
.send()
.await
.map_err(|e| zclaw_types::ZclawError::HandError(format!("Like failed: {}", e)))?;
let status = response.status();
let response_text = response.text().await.unwrap_or_default();
let _ = tweet_id;
tracing::warn!("[TwitterHand] like action requires OAuth 1.0a user context — not yet supported");
Ok(json!({
"success": status.is_success(),
"tweet_id": tweet_id,
"action": "liked",
"status_code": status.as_u16(),
"message": if status.is_success() { "Tweet liked" } else { &response_text }
"success": false,
"action": "like",
"error": "OAuth 1.0a user context required. Like action is not yet supported with app-only Bearer token.",
"suggestion": "Configure OAuth 1.0a credentials (access_token + access_token_secret) to enable write actions."
}))
}
/// Execute retweet action — POST /2/users/:id/retweets
///
/// **NOTE**: Twitter API v2 requires OAuth 1.0a user context for retweet.
/// Bearer token (app-only auth) is not sufficient and will return 403.
/// This action is currently unavailable until OAuth 1.0a signing is implemented.
async fn execute_retweet(&self, tweet_id: &str) -> Result<Value> {
let creds = self.get_credentials().await
.ok_or_else(|| zclaw_types::ZclawError::HandError("Twitter credentials not configured".to_string()))?;
let client = reqwest::Client::new();
let url = "https://api.twitter.com/2/users/me/retweets";
let response = client.post(url)
.header("Authorization", format!("Bearer {}", creds.bearer_token.as_deref().unwrap_or("")))
.header("Content-Type", "application/json")
.header("User-Agent", "ZCLAW/1.0")
.json(&json!({"tweet_id": tweet_id}))
.send()
.await
.map_err(|e| zclaw_types::ZclawError::HandError(format!("Retweet failed: {}", e)))?;
let status = response.status();
let response_text = response.text().await.unwrap_or_default();
let _ = tweet_id;
tracing::warn!("[TwitterHand] retweet action requires OAuth 1.0a user context — not yet supported");
Ok(json!({
"success": status.is_success(),
"tweet_id": tweet_id,
"action": "retweeted",
"status_code": status.as_u16(),
"message": if status.is_success() { "Tweet retweeted" } else { &response_text }
"success": false,
"action": "retweet",
"error": "OAuth 1.0a user context required. Retweet action is not yet supported with app-only Bearer token.",
"suggestion": "Configure OAuth 1.0a credentials (access_token + access_token_secret) to enable write actions."
}))
}

View File

@@ -25,7 +25,7 @@ impl Kernel {
agent_id: &AgentId,
message: String,
) -> Result<MessageResponse> {
self.send_message_with_chat_mode(agent_id, message, None).await
self.send_message_with_chat_mode(agent_id, message, None, None).await
}
/// Send a message to an agent with optional chat mode configuration
@@ -34,6 +34,7 @@ impl Kernel {
agent_id: &AgentId,
message: String,
chat_mode: Option<ChatModeConfig>,
model_override: Option<String>,
) -> Result<MessageResponse> {
let agent_config = self.registry.get(agent_id)
.ok_or_else(|| zclaw_types::ZclawError::NotFound(format!("Agent not found: {}", agent_id)))?;
@@ -41,12 +42,16 @@ impl Kernel {
// Create or get session
let session_id = self.memory.create_session(agent_id).await?;
// Use agent-level model if configured, otherwise fall back to global config
let model = if !agent_config.model.model.is_empty() {
agent_config.model.model.clone()
} else {
self.config.model().to_string()
};
// Model priority: UI override > Agent config > Global config
let model = model_override
.filter(|m| !m.is_empty())
.unwrap_or_else(|| {
if !agent_config.model.model.is_empty() {
agent_config.model.model.clone()
} else {
self.config.model().to_string()
}
});
// Create agent loop with model configuration
let subagent_enabled = chat_mode.as_ref().and_then(|m| m.subagent_enabled).unwrap_or(false);
@@ -122,7 +127,7 @@ impl Kernel {
agent_id: &AgentId,
message: String,
) -> Result<mpsc::Receiver<zclaw_runtime::LoopEvent>> {
self.send_message_stream_with_prompt(agent_id, message, None, None, None).await
self.send_message_stream_with_prompt(agent_id, message, None, None, None, None).await
}
/// Send a message with streaming, optional system prompt, optional session reuse,
@@ -134,6 +139,7 @@ impl Kernel {
system_prompt_override: Option<String>,
session_id_override: Option<zclaw_types::SessionId>,
chat_mode: Option<ChatModeConfig>,
model_override: Option<String>,
) -> Result<mpsc::Receiver<zclaw_runtime::LoopEvent>> {
let agent_config = self.registry.get(agent_id)
.ok_or_else(|| zclaw_types::ZclawError::NotFound(format!("Agent not found: {}", agent_id)))?;
@@ -150,12 +156,16 @@ impl Kernel {
None => self.memory.create_session(agent_id).await?,
};
// Use agent-level model if configured, otherwise fall back to global config
let model = if !agent_config.model.model.is_empty() {
agent_config.model.model.clone()
} else {
self.config.model().to_string()
};
// Model priority: UI override > Agent config > Global config
let model = model_override
.filter(|m| !m.is_empty())
.unwrap_or_else(|| {
if !agent_config.model.model.is_empty() {
agent_config.model.model.clone()
} else {
self.config.model().to_string()
}
});
// Create agent loop with model configuration
let subagent_enabled = chat_mode.as_ref().and_then(|m| m.subagent_enabled).unwrap_or(false);

View File

@@ -27,7 +27,7 @@ use crate::config::KernelConfig;
use zclaw_memory::MemoryStore;
use zclaw_runtime::{LlmDriver, ToolRegistry, tool::SkillExecutor};
use zclaw_skills::SkillRegistry;
use zclaw_hands::{HandRegistry, hands::{BrowserHand, SlideshowHand, SpeechHand, QuizHand, WhiteboardHand, ResearcherHand, CollectorHand, ClipHand, TwitterHand, quiz::LlmQuizGenerator}};
use zclaw_hands::{HandRegistry, hands::{BrowserHand, SlideshowHand, SpeechHand, QuizHand, WhiteboardHand, ResearcherHand, CollectorHand, ClipHand, TwitterHand, ReminderHand, quiz::LlmQuizGenerator}};
pub use adapters::KernelSkillExecutor;
pub use messaging::ChatModeConfig;
@@ -52,6 +52,10 @@ pub struct Kernel {
viking: Arc<zclaw_runtime::VikingAdapter>,
/// Optional LLM driver for memory extraction (set by Tauri desktop layer)
extraction_driver: Option<Arc<dyn zclaw_runtime::LlmDriverForExtraction>>,
/// MCP tool adapters — shared with Tauri MCP manager, updated dynamically
mcp_adapters: Arc<std::sync::RwLock<Vec<zclaw_protocols::McpToolAdapter>>>,
/// Dynamic industry keyword configs — shared with Tauri frontend, loaded from SaaS
industry_keywords: Arc<tokio::sync::RwLock<Vec<zclaw_runtime::IndustryKeywordConfig>>>,
/// A2A router for inter-agent messaging (gated by multi-agent feature)
#[cfg(feature = "multi-agent")]
a2a_router: Arc<A2aRouter>,
@@ -97,6 +101,7 @@ impl Kernel {
hands.register(Arc::new(CollectorHand::new())).await;
hands.register(Arc::new(ClipHand::new())).await;
hands.register(Arc::new(TwitterHand::new())).await;
hands.register(Arc::new(ReminderHand::new())).await;
// Create skill executor
let skill_executor = Arc::new(KernelSkillExecutor::new(skills.clone(), driver.clone()));
@@ -155,6 +160,8 @@ impl Kernel {
running_hand_runs: Arc::new(dashmap::DashMap::new()),
viking,
extraction_driver: None,
mcp_adapters: Arc::new(std::sync::RwLock::new(Vec::new())),
industry_keywords: Arc::new(tokio::sync::RwLock::new(Vec::new())),
#[cfg(feature = "multi-agent")]
a2a_router,
#[cfg(feature = "multi-agent")]
@@ -162,7 +169,7 @@ impl Kernel {
})
}
/// Create a tool registry with built-in tools.
/// Create a tool registry with built-in tools + MCP tools.
/// When `subagent_enabled` is false, TaskTool is excluded to prevent
/// the LLM from attempting sub-agent delegation in non-Ultra modes.
pub(crate) fn create_tool_registry(&self, subagent_enabled: bool) -> ToolRegistry {
@@ -179,6 +186,16 @@ impl Kernel {
tools.register(Box::new(task_tool));
}
// Register MCP tools (dynamically updated by Tauri MCP manager)
if let Ok(adapters) = self.mcp_adapters.read() {
for adapter in adapters.iter() {
let wrapper = zclaw_runtime::tool::builtin::McpToolWrapper::new(
std::sync::Arc::new(adapter.clone())
);
tools.register(Box::new(wrapper));
}
}
tools
}
@@ -193,7 +210,42 @@ impl Kernel {
// Butler router — semantic skill routing context injection
{
use std::sync::Arc;
let mw = zclaw_runtime::middleware::butler_router::ButlerRouterMiddleware::new();
use zclaw_runtime::middleware::butler_router::{ButlerRouterBackend, RoutingHint};
use async_trait::async_trait;
use zclaw_skills::semantic_router::SemanticSkillRouter;
/// Adapter bridging `SemanticSkillRouter` (zclaw-skills) to `ButlerRouterBackend`.
/// Lives here in kernel because kernel depends on both zclaw-runtime and zclaw-skills.
struct SemanticRouterAdapter {
router: Arc<SemanticSkillRouter>,
}
impl SemanticRouterAdapter {
fn new(router: Arc<SemanticSkillRouter>) -> Self {
Self { router }
}
}
#[async_trait]
impl ButlerRouterBackend for SemanticRouterAdapter {
async fn classify(&self, query: &str) -> Option<RoutingHint> {
let result: Option<_> = self.router.route(query).await;
result.map(|r| RoutingHint {
category: "semantic_skill".to_string(),
confidence: r.confidence,
skill_id: Some(r.skill_id),
domain_prompt: None,
})
}
}
// Build semantic router from the skill registry (75 SKILL.md loaded at boot)
let semantic_router = SemanticSkillRouter::new_tf_idf_only(self.skills.clone());
let adapter = SemanticRouterAdapter::new(Arc::new(semantic_router));
let mw = zclaw_runtime::middleware::butler_router::ButlerRouterMiddleware::with_router_and_shared_keywords(
Box::new(adapter),
self.industry_keywords.clone(),
);
chain.register(Arc::new(mw));
}
@@ -302,6 +354,14 @@ impl Kernel {
chain.register(Arc::new(mw));
}
// Trajectory recorder — record agent loop events for Hermes analysis
{
use std::sync::Arc;
let tstore = zclaw_memory::trajectory_store::TrajectoryStore::new(self.memory.pool());
let mw = zclaw_runtime::middleware::trajectory_recorder::TrajectoryRecorderMiddleware::new(Arc::new(tstore));
chain.register(Arc::new(mw));
}
// Only return Some if we actually registered middleware
if chain.is_empty() {
None
@@ -372,6 +432,33 @@ impl Kernel {
tracing::info!("[Kernel] Extraction driver configured for Growth system");
self.extraction_driver = Some(driver);
}
/// Get a reference to the shared MCP adapters list.
///
/// The Tauri MCP manager updates this list when services start/stop.
/// The kernel reads it during `create_tool_registry()` to inject MCP tools
/// into the LLM's available tools.
pub fn mcp_adapters(&self) -> Arc<std::sync::RwLock<Vec<zclaw_protocols::McpToolAdapter>>> {
self.mcp_adapters.clone()
}
/// Replace the MCP adapters with a shared Arc (from Tauri MCP manager).
///
/// Call this after boot to connect the kernel to the Tauri MCP manager's
/// adapter list. After this, MCP service start/stop will automatically
/// be reflected in the LLM's available tools.
pub fn set_mcp_adapters(&mut self, adapters: Arc<std::sync::RwLock<Vec<zclaw_protocols::McpToolAdapter>>>) {
tracing::info!("[Kernel] MCP adapters bridge connected");
self.mcp_adapters = adapters;
}
/// Get a reference to the shared industry keywords config.
///
/// The Tauri frontend updates this list when industry configs are fetched from SaaS.
/// The ButlerRouterMiddleware reads from the same Arc, so updates are automatic.
pub fn industry_keywords(&self) -> Arc<tokio::sync::RwLock<Vec<zclaw_runtime::IndustryKeywordConfig>>> {
self.industry_keywords.clone()
}
}
#[derive(Debug, Clone)]

View File

@@ -85,6 +85,7 @@ impl AgentRegistry {
system_prompt: config.system_prompt.clone(),
temperature: config.temperature,
max_tokens: config.max_tokens,
user_profile: None,
})
}

View File

@@ -77,7 +77,7 @@ impl SchedulerService {
kernel_lock: &Arc<Mutex<Option<Kernel>>>,
) -> Result<()> {
// Collect due triggers under lock
let to_execute: Vec<(String, String, String)> = {
let to_execute: Vec<(String, String, String, String)> = {
let kernel_guard = kernel_lock.lock().await;
let kernel = match kernel_guard.as_ref() {
Some(k) => k,
@@ -103,7 +103,8 @@ impl SchedulerService {
.filter_map(|t| {
if let zclaw_hands::TriggerType::Schedule { ref cron } = t.config.trigger_type {
if Self::should_fire_cron(cron, &now) {
Some((t.config.id.clone(), t.config.hand_id.clone(), cron.clone()))
// (trigger_id, hand_id, cron_expr, trigger_name)
Some((t.config.id.clone(), t.config.hand_id.clone(), cron.clone(), t.config.name.clone()))
} else {
None
}
@@ -123,7 +124,7 @@ impl SchedulerService {
// If parallel execution is needed, spawn each execute_hand in a separate task
// and collect results via JoinSet.
let now = chrono::Utc::now();
for (trigger_id, hand_id, cron_expr) in to_execute {
for (trigger_id, hand_id, cron_expr, trigger_name) in to_execute {
tracing::info!(
"[Scheduler] Firing scheduled trigger '{}' → hand '{}' (cron: {})",
trigger_id, hand_id, cron_expr
@@ -138,6 +139,7 @@ impl SchedulerService {
let input = serde_json::json!({
"trigger_id": trigger_id,
"trigger_type": "schedule",
"task_description": trigger_name,
"cron": cron_expr,
"fired_at": now.to_rfc3339(),
});

View File

@@ -134,7 +134,9 @@ impl TriggerManager {
/// Create a new trigger
pub async fn create_trigger(&self, config: TriggerConfig) -> Result<TriggerEntry> {
// Validate hand exists (outside of our lock to avoid holding two locks)
if self.hand_registry.get(&config.hand_id).await.is_none() {
// System hands (prefixed with '_') are exempt from validation — they are
// registered at boot but may not appear in the hand registry scan path.
if !config.hand_id.starts_with('_') && self.hand_registry.get(&config.hand_id).await.is_none() {
return Err(zclaw_types::ZclawError::InvalidInput(
format!("Hand '{}' not found", config.hand_id)
));
@@ -170,7 +172,7 @@ impl TriggerManager {
) -> Result<TriggerEntry> {
// Validate hand exists if being updated (outside of our lock)
if let Some(hand_id) = &updates.hand_id {
if self.hand_registry.get(hand_id).await.is_none() {
if !hand_id.starts_with('_') && self.hand_registry.get(hand_id).await.is_none() {
return Err(zclaw_types::ZclawError::InvalidInput(
format!("Hand '{}' not found", hand_id)
));
@@ -303,9 +305,10 @@ impl TriggerManager {
};
// Get hand (outside of our lock to avoid potential deadlock with hand_registry)
// System hands (prefixed with '_') must be registered at boot — same rule as create_trigger.
let hand = self.hand_registry.get(&hand_id).await
.ok_or_else(|| zclaw_types::ZclawError::InvalidInput(
format!("Hand '{}' not found", hand_id)
format!("Hand '{}' not found (system hands must be registered at boot)", hand_id)
))?;
// Update state before execution

View File

@@ -6,8 +6,15 @@ mod store;
mod session;
mod schema;
pub mod fact;
pub mod user_profile_store;
pub mod trajectory_store;
pub use store::*;
pub use session::*;
pub use schema::*;
pub use fact::{Fact, FactCategory, ExtractedFactBatch};
pub use user_profile_store::{UserProfileStore, UserProfile, Level, CommStyle};
pub use trajectory_store::{
TrajectoryEvent, TrajectoryStore, TrajectoryStepType,
CompressedTrajectory, CompletionStatus, SatisfactionSignal,
};

View File

@@ -93,4 +93,47 @@ pub const MIGRATIONS: &[&str] = &[
// v1→v2: persist runtime state and message count
"ALTER TABLE agents ADD COLUMN state TEXT NOT NULL DEFAULT 'running'",
"ALTER TABLE agents ADD COLUMN message_count INTEGER NOT NULL DEFAULT 0",
// v2→v3: user profiles for structured user modeling
"CREATE TABLE IF NOT EXISTS user_profiles (
user_id TEXT PRIMARY KEY,
industry TEXT,
role TEXT,
expertise_level TEXT,
communication_style TEXT,
preferred_language TEXT DEFAULT 'zh-CN',
recent_topics TEXT DEFAULT '[]',
active_pain_points TEXT DEFAULT '[]',
preferred_tools TEXT DEFAULT '[]',
confidence REAL DEFAULT 0.0,
updated_at TEXT NOT NULL
)",
// v3→v4: trajectory recording for tool-call chain analysis
"CREATE TABLE IF NOT EXISTS trajectory_events (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
step_index INTEGER NOT NULL,
step_type TEXT NOT NULL,
input_summary TEXT,
output_summary TEXT,
duration_ms INTEGER DEFAULT 0,
timestamp TEXT NOT NULL
)",
"CREATE INDEX IF NOT EXISTS idx_trajectory_session ON trajectory_events(session_id)",
"CREATE TABLE IF NOT EXISTS compressed_trajectories (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
request_type TEXT NOT NULL,
tools_used TEXT,
outcome TEXT NOT NULL,
total_steps INTEGER DEFAULT 0,
total_duration_ms INTEGER DEFAULT 0,
total_tokens INTEGER DEFAULT 0,
execution_chain TEXT NOT NULL,
satisfaction_signal TEXT,
created_at TEXT NOT NULL
)",
"CREATE INDEX IF NOT EXISTS idx_ct_request_type ON compressed_trajectories(request_type)",
"CREATE INDEX IF NOT EXISTS idx_ct_outcome ON compressed_trajectories(outcome)",
];

View File

@@ -21,6 +21,14 @@ impl MemoryStore {
Ok(store)
}
/// Get a clone of the underlying SQLite pool.
///
/// Used by subsystems (e.g. `TrajectoryStore`) that need to share the
/// same database connection pool for their own tables.
pub fn pool(&self) -> SqlitePool {
self.pool.clone()
}
/// Ensure the parent directory for the database file exists
fn ensure_database_dir(database_url: &str) -> Result<()> {
// Parse SQLite URL to extract file path

View File

@@ -0,0 +1,563 @@
//! Trajectory Store -- record and compress tool-call chains for analysis.
//!
//! Stores raw trajectory events (user requests, tool calls, LLM generations)
//! and compressed trajectory summaries. Used by the Hermes Intelligence Pipeline
//! to analyze agent behaviour patterns and improve routing over time.
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use sqlx::SqlitePool;
use zclaw_types::{Result, ZclawError};
// ---------------------------------------------------------------------------
// Types
// ---------------------------------------------------------------------------
/// Step type in a trajectory.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "snake_case")]
pub enum TrajectoryStepType {
UserRequest,
IntentClassification,
SkillSelection,
ToolExecution,
LlmGeneration,
UserFeedback,
}
impl TrajectoryStepType {
/// Serialize to the string stored in SQLite.
pub fn as_str(&self) -> &'static str {
match self {
Self::UserRequest => "user_request",
Self::IntentClassification => "intent_classification",
Self::SkillSelection => "skill_selection",
Self::ToolExecution => "tool_execution",
Self::LlmGeneration => "llm_generation",
Self::UserFeedback => "user_feedback",
}
}
/// Deserialize from the SQLite string representation.
pub fn from_str_lossy(s: &str) -> Self {
match s {
"user_request" => Self::UserRequest,
"intent_classification" => Self::IntentClassification,
"skill_selection" => Self::SkillSelection,
"tool_execution" => Self::ToolExecution,
"llm_generation" => Self::LlmGeneration,
"user_feedback" => Self::UserFeedback,
_ => Self::UserRequest,
}
}
}
/// Single trajectory event.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrajectoryEvent {
pub id: String,
pub session_id: String,
pub agent_id: String,
pub step_index: usize,
pub step_type: TrajectoryStepType,
/// Summarised input (max 200 chars).
pub input_summary: String,
/// Summarised output (max 200 chars).
pub output_summary: String,
pub duration_ms: u64,
pub timestamp: DateTime<Utc>,
}
/// Satisfaction signal inferred from user feedback.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum SatisfactionSignal {
Positive,
Negative,
Neutral,
}
impl SatisfactionSignal {
pub fn as_str(&self) -> &'static str {
match self {
Self::Positive => "positive",
Self::Negative => "negative",
Self::Neutral => "neutral",
}
}
pub fn from_str_lossy(s: &str) -> Option<Self> {
match s {
"positive" => Some(Self::Positive),
"negative" => Some(Self::Negative),
"neutral" => Some(Self::Neutral),
_ => None,
}
}
}
/// Completion status of a compressed trajectory.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum CompletionStatus {
Success,
Partial,
Failed,
Abandoned,
}
impl CompletionStatus {
pub fn as_str(&self) -> &'static str {
match self {
Self::Success => "success",
Self::Partial => "partial",
Self::Failed => "failed",
Self::Abandoned => "abandoned",
}
}
pub fn from_str_lossy(s: &str) -> Self {
match s {
"success" => Self::Success,
"partial" => Self::Partial,
"failed" => Self::Failed,
"abandoned" => Self::Abandoned,
_ => Self::Success,
}
}
}
/// Compressed trajectory (generated at session end).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompressedTrajectory {
pub id: String,
pub session_id: String,
pub agent_id: String,
pub request_type: String,
pub tools_used: Vec<String>,
pub outcome: CompletionStatus,
pub total_steps: usize,
pub total_duration_ms: u64,
pub total_tokens: u32,
/// Serialised JSON execution chain for analysis.
pub execution_chain: String,
pub satisfaction_signal: Option<SatisfactionSignal>,
pub created_at: DateTime<Utc>,
}
// ---------------------------------------------------------------------------
// Store
// ---------------------------------------------------------------------------
/// Persistent store for trajectory events and compressed trajectories.
pub struct TrajectoryStore {
pool: SqlitePool,
}
impl TrajectoryStore {
/// Create a new `TrajectoryStore` backed by the given SQLite pool.
pub fn new(pool: SqlitePool) -> Self {
Self { pool }
}
/// Create the required tables. Idempotent -- safe to call on startup.
pub async fn initialize_schema(&self) -> Result<()> {
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS trajectory_events (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
step_index INTEGER NOT NULL,
step_type TEXT NOT NULL,
input_summary TEXT,
output_summary TEXT,
duration_ms INTEGER DEFAULT 0,
timestamp TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_trajectory_session ON trajectory_events(session_id);
"#,
)
.execute(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS compressed_trajectories (
id TEXT PRIMARY KEY,
session_id TEXT NOT NULL,
agent_id TEXT NOT NULL,
request_type TEXT NOT NULL,
tools_used TEXT,
outcome TEXT NOT NULL,
total_steps INTEGER DEFAULT 0,
total_duration_ms INTEGER DEFAULT 0,
total_tokens INTEGER DEFAULT 0,
execution_chain TEXT NOT NULL,
satisfaction_signal TEXT,
created_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_ct_request_type ON compressed_trajectories(request_type);
CREATE INDEX IF NOT EXISTS idx_ct_outcome ON compressed_trajectories(outcome);
"#,
)
.execute(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
Ok(())
}
/// Insert a raw trajectory event.
pub async fn insert_event(&self, event: &TrajectoryEvent) -> Result<()> {
sqlx::query(
r#"
INSERT INTO trajectory_events
(id, session_id, agent_id, step_index, step_type,
input_summary, output_summary, duration_ms, timestamp)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
"#,
)
.bind(&event.id)
.bind(&event.session_id)
.bind(&event.agent_id)
.bind(event.step_index as i64)
.bind(event.step_type.as_str())
.bind(&event.input_summary)
.bind(&event.output_summary)
.bind(event.duration_ms as i64)
.bind(event.timestamp.to_rfc3339())
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] insert_event failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(())
}
/// Retrieve all raw events for a session, ordered by step_index.
pub async fn get_events_by_session(&self, session_id: &str) -> Result<Vec<TrajectoryEvent>> {
let rows = sqlx::query_as::<_, (String, String, String, i64, String, Option<String>, Option<String>, Option<i64>, String)>(
r#"
SELECT id, session_id, agent_id, step_index, step_type,
input_summary, output_summary, duration_ms, timestamp
FROM trajectory_events
WHERE session_id = ?
ORDER BY step_index ASC
"#,
)
.bind(session_id)
.fetch_all(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
let mut events = Vec::with_capacity(rows.len());
for (id, sid, aid, step_idx, stype, input_s, output_s, dur_ms, ts) in rows {
let timestamp = DateTime::parse_from_rfc3339(&ts)
.map(|dt| dt.with_timezone(&Utc))
.unwrap_or_else(|_| Utc::now());
events.push(TrajectoryEvent {
id,
session_id: sid,
agent_id: aid,
step_index: step_idx as usize,
step_type: TrajectoryStepType::from_str_lossy(&stype),
input_summary: input_s.unwrap_or_default(),
output_summary: output_s.unwrap_or_default(),
duration_ms: dur_ms.unwrap_or(0) as u64,
timestamp,
});
}
Ok(events)
}
/// Insert a compressed trajectory.
pub async fn insert_compressed(&self, trajectory: &CompressedTrajectory) -> Result<()> {
let tools_json = serde_json::to_string(&trajectory.tools_used)
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
sqlx::query(
r#"
INSERT INTO compressed_trajectories
(id, session_id, agent_id, request_type, tools_used,
outcome, total_steps, total_duration_ms, total_tokens,
execution_chain, satisfaction_signal, created_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
"#,
)
.bind(&trajectory.id)
.bind(&trajectory.session_id)
.bind(&trajectory.agent_id)
.bind(&trajectory.request_type)
.bind(&tools_json)
.bind(trajectory.outcome.as_str())
.bind(trajectory.total_steps as i64)
.bind(trajectory.total_duration_ms as i64)
.bind(trajectory.total_tokens as i64)
.bind(&trajectory.execution_chain)
.bind(trajectory.satisfaction_signal.map(|s| s.as_str()))
.bind(trajectory.created_at.to_rfc3339())
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] insert_compressed failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(())
}
/// Retrieve the compressed trajectory for a session, if any.
pub async fn get_compressed_by_session(&self, session_id: &str) -> Result<Option<CompressedTrajectory>> {
let row = sqlx::query_as::<_, (
String, String, String, String, Option<String>,
String, i64, i64, i64, String, Option<String>, String,
)>(
r#"
SELECT id, session_id, agent_id, request_type, tools_used,
outcome, total_steps, total_duration_ms, total_tokens,
execution_chain, satisfaction_signal, created_at
FROM compressed_trajectories
WHERE session_id = ?
"#,
)
.bind(session_id)
.fetch_optional(&self.pool)
.await
.map_err(|e| ZclawError::StorageError(e.to_string()))?;
match row {
Some((id, sid, aid, req_type, tools_json, outcome_str, steps, dur_ms, tokens, chain, sat, created)) => {
let tools_used: Vec<String> = tools_json
.as_deref()
.and_then(|j| serde_json::from_str(j).ok())
.unwrap_or_default();
let timestamp = DateTime::parse_from_rfc3339(&created)
.map(|dt| dt.with_timezone(&Utc))
.unwrap_or_else(|_| Utc::now());
Ok(Some(CompressedTrajectory {
id,
session_id: sid,
agent_id: aid,
request_type: req_type,
tools_used,
outcome: CompletionStatus::from_str_lossy(&outcome_str),
total_steps: steps as usize,
total_duration_ms: dur_ms as u64,
total_tokens: tokens as u32,
execution_chain: chain,
satisfaction_signal: sat.as_deref().and_then(SatisfactionSignal::from_str_lossy),
created_at: timestamp,
}))
}
None => Ok(None),
}
}
/// Delete raw trajectory events older than `days` days. Returns count deleted.
pub async fn delete_events_older_than(&self, days: i64) -> Result<u64> {
let result = sqlx::query(
r#"
DELETE FROM trajectory_events
WHERE timestamp < datetime('now', ?)
"#,
)
.bind(format!("-{} days", days))
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] delete_events_older_than failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(result.rows_affected())
}
/// Delete compressed trajectories older than `days` days. Returns count deleted.
pub async fn delete_compressed_older_than(&self, days: i64) -> Result<u64> {
let result = sqlx::query(
r#"
DELETE FROM compressed_trajectories
WHERE created_at < datetime('now', ?)
"#,
)
.bind(format!("-{} days", days))
.execute(&self.pool)
.await
.map_err(|e| {
tracing::warn!("[TrajectoryStore] delete_compressed_older_than failed: {}", e);
ZclawError::StorageError(e.to_string())
})?;
Ok(result.rows_affected())
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
async fn test_store() -> TrajectoryStore {
let pool = SqlitePool::connect("sqlite::memory:")
.await
.expect("in-memory pool");
let store = TrajectoryStore::new(pool);
store.initialize_schema().await.expect("schema init");
store
}
fn sample_event(index: usize) -> TrajectoryEvent {
TrajectoryEvent {
id: format!("evt-{}", index),
session_id: "sess-1".to_string(),
agent_id: "agent-1".to_string(),
step_index: index,
step_type: TrajectoryStepType::ToolExecution,
input_summary: "search query".to_string(),
output_summary: "3 results found".to_string(),
duration_ms: 150,
timestamp: Utc::now(),
}
}
#[tokio::test]
async fn test_insert_and_get_events() {
let store = test_store().await;
let e1 = sample_event(0);
let e2 = TrajectoryEvent {
id: "evt-1".to_string(),
step_index: 1,
step_type: TrajectoryStepType::LlmGeneration,
..sample_event(0)
};
store.insert_event(&e1).await.unwrap();
store.insert_event(&e2).await.unwrap();
let events = store.get_events_by_session("sess-1").await.unwrap();
assert_eq!(events.len(), 2);
assert_eq!(events[0].step_index, 0);
assert_eq!(events[1].step_index, 1);
assert_eq!(events[0].step_type, TrajectoryStepType::ToolExecution);
assert_eq!(events[1].step_type, TrajectoryStepType::LlmGeneration);
}
#[tokio::test]
async fn test_get_events_empty_session() {
let store = test_store().await;
let events = store.get_events_by_session("nonexistent").await.unwrap();
assert!(events.is_empty());
}
#[tokio::test]
async fn test_insert_and_get_compressed() {
let store = test_store().await;
let ct = CompressedTrajectory {
id: "ct-1".to_string(),
session_id: "sess-1".to_string(),
agent_id: "agent-1".to_string(),
request_type: "data_query".to_string(),
tools_used: vec!["search".to_string(), "calculate".to_string()],
outcome: CompletionStatus::Success,
total_steps: 5,
total_duration_ms: 1200,
total_tokens: 350,
execution_chain: r#"[{"step":0,"type":"tool_execution"}]"#.to_string(),
satisfaction_signal: Some(SatisfactionSignal::Positive),
created_at: Utc::now(),
};
store.insert_compressed(&ct).await.unwrap();
let loaded = store.get_compressed_by_session("sess-1").await.unwrap();
assert!(loaded.is_some());
let loaded = loaded.unwrap();
assert_eq!(loaded.id, "ct-1");
assert_eq!(loaded.request_type, "data_query");
assert_eq!(loaded.tools_used.len(), 2);
assert_eq!(loaded.outcome, CompletionStatus::Success);
assert_eq!(loaded.satisfaction_signal, Some(SatisfactionSignal::Positive));
}
#[tokio::test]
async fn test_get_compressed_nonexistent() {
let store = test_store().await;
let result = store.get_compressed_by_session("nonexistent").await.unwrap();
assert!(result.is_none());
}
#[tokio::test]
async fn test_step_type_roundtrip() {
let all_types = [
TrajectoryStepType::UserRequest,
TrajectoryStepType::IntentClassification,
TrajectoryStepType::SkillSelection,
TrajectoryStepType::ToolExecution,
TrajectoryStepType::LlmGeneration,
TrajectoryStepType::UserFeedback,
];
for st in all_types {
assert_eq!(TrajectoryStepType::from_str_lossy(st.as_str()), st);
}
}
#[tokio::test]
async fn test_satisfaction_signal_roundtrip() {
let signals = [SatisfactionSignal::Positive, SatisfactionSignal::Negative, SatisfactionSignal::Neutral];
for sig in signals {
assert_eq!(SatisfactionSignal::from_str_lossy(sig.as_str()), Some(sig));
}
assert_eq!(SatisfactionSignal::from_str_lossy("bogus"), None);
}
#[tokio::test]
async fn test_completion_status_roundtrip() {
let statuses = [CompletionStatus::Success, CompletionStatus::Partial, CompletionStatus::Failed, CompletionStatus::Abandoned];
for s in statuses {
assert_eq!(CompletionStatus::from_str_lossy(s.as_str()), s);
}
}
#[tokio::test]
async fn test_delete_events_older_than() {
let store = test_store().await;
// Insert an event with a timestamp far in the past
let old_event = TrajectoryEvent {
id: "old-evt".to_string(),
timestamp: Utc::now() - chrono::Duration::days(100),
..sample_event(0)
};
store.insert_event(&old_event).await.unwrap();
// Insert a recent event
let recent_event = TrajectoryEvent {
id: "recent-evt".to_string(),
step_index: 1,
..sample_event(0)
};
store.insert_event(&recent_event).await.unwrap();
let deleted = store.delete_events_older_than(30).await.unwrap();
assert_eq!(deleted, 1);
let remaining = store.get_events_by_session("sess-1").await.unwrap();
assert_eq!(remaining.len(), 1);
assert_eq!(remaining[0].id, "recent-evt");
}
}

View File

@@ -0,0 +1,592 @@
//! User Profile Store — structured user modeling from conversation patterns.
//!
//! Maintains a single `UserProfile` per user (desktop uses "default_user")
//! in a dedicated SQLite table. Vec fields (recent_topics, pain points,
//! preferred_tools) are stored as JSON arrays and transparently
//! (de)serialised on read/write.
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use sqlx::Row;
use sqlx::SqlitePool;
use zclaw_types::Result;
// ---------------------------------------------------------------------------
// Data types
// ---------------------------------------------------------------------------
/// Expertise level inferred from conversation patterns.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum Level {
Beginner,
Intermediate,
Expert,
}
impl Level {
pub fn as_str(&self) -> &'static str {
match self {
Level::Beginner => "beginner",
Level::Intermediate => "intermediate",
Level::Expert => "expert",
}
}
pub fn from_str_lossy(s: &str) -> Option<Self> {
match s {
"beginner" => Some(Level::Beginner),
"intermediate" => Some(Level::Intermediate),
"expert" => Some(Level::Expert),
_ => None,
}
}
}
/// Communication style preference.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
#[serde(rename_all = "lowercase")]
pub enum CommStyle {
Concise,
Detailed,
Formal,
Casual,
}
impl CommStyle {
pub fn as_str(&self) -> &'static str {
match self {
CommStyle::Concise => "concise",
CommStyle::Detailed => "detailed",
CommStyle::Formal => "formal",
CommStyle::Casual => "casual",
}
}
pub fn from_str_lossy(s: &str) -> Option<Self> {
match s {
"concise" => Some(CommStyle::Concise),
"detailed" => Some(CommStyle::Detailed),
"formal" => Some(CommStyle::Formal),
"casual" => Some(CommStyle::Casual),
_ => None,
}
}
}
/// Structured user profile (one record per user).
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct UserProfile {
pub user_id: String,
pub industry: Option<String>,
pub role: Option<String>,
pub expertise_level: Option<Level>,
pub communication_style: Option<CommStyle>,
pub preferred_language: String,
pub recent_topics: Vec<String>,
pub active_pain_points: Vec<String>,
pub preferred_tools: Vec<String>,
pub confidence: f32,
pub updated_at: DateTime<Utc>,
}
impl UserProfile {
/// Create a blank profile for the given user.
pub fn blank(user_id: &str) -> Self {
Self {
user_id: user_id.to_string(),
industry: None,
role: None,
expertise_level: None,
communication_style: None,
preferred_language: "zh-CN".to_string(),
recent_topics: Vec::new(),
active_pain_points: Vec::new(),
preferred_tools: Vec::new(),
confidence: 0.0,
updated_at: Utc::now(),
}
}
/// Default profile for single-user desktop mode ("default_user").
pub fn default_profile() -> Self {
Self::blank("default_user")
}
}
// ---------------------------------------------------------------------------
// DDL
// ---------------------------------------------------------------------------
const PROFILE_DDL: &str = r#"
CREATE TABLE IF NOT EXISTS user_profiles (
user_id TEXT PRIMARY KEY,
industry TEXT,
role TEXT,
expertise_level TEXT,
communication_style TEXT,
preferred_language TEXT DEFAULT 'zh-CN',
recent_topics TEXT DEFAULT '[]',
active_pain_points TEXT DEFAULT '[]',
preferred_tools TEXT DEFAULT '[]',
confidence REAL DEFAULT 0.0,
updated_at TEXT NOT NULL
)
"#;
// ---------------------------------------------------------------------------
// Row mapping
// ---------------------------------------------------------------------------
fn row_to_profile(row: &sqlx::sqlite::SqliteRow) -> Result<UserProfile> {
let recent_topics_json: String = row.try_get("recent_topics").unwrap_or_else(|_| "[]".to_string());
let pain_json: String = row.try_get("active_pain_points").unwrap_or_else(|_| "[]".to_string());
let tools_json: String = row.try_get("preferred_tools").unwrap_or_else(|_| "[]".to_string());
let recent_topics: Vec<String> = serde_json::from_str(&recent_topics_json)?;
let active_pain_points: Vec<String> = serde_json::from_str(&pain_json)?;
let preferred_tools: Vec<String> = serde_json::from_str(&tools_json)?;
let expertise_str: Option<String> = row.try_get("expertise_level").unwrap_or(None);
let comm_str: Option<String> = row.try_get("communication_style").unwrap_or(None);
let updated_at_str: String = row.try_get("updated_at").unwrap_or_else(|_| Utc::now().to_rfc3339());
let updated_at = DateTime::parse_from_rfc3339(&updated_at_str)
.map(|dt| dt.with_timezone(&Utc))
.unwrap_or_else(|_| Utc::now());
Ok(UserProfile {
user_id: row.try_get("user_id").unwrap_or_default(),
industry: row.try_get("industry").unwrap_or(None),
role: row.try_get("role").unwrap_or(None),
expertise_level: expertise_str.as_deref().and_then(Level::from_str_lossy),
communication_style: comm_str.as_deref().and_then(CommStyle::from_str_lossy),
preferred_language: row.try_get("preferred_language").unwrap_or_else(|_| "zh-CN".to_string()),
recent_topics,
active_pain_points,
preferred_tools,
confidence: row.try_get("confidence").unwrap_or(0.0),
updated_at,
})
}
// ---------------------------------------------------------------------------
// UserProfileStore
// ---------------------------------------------------------------------------
/// SQLite-backed store for user profiles.
pub struct UserProfileStore {
pool: SqlitePool,
}
impl UserProfileStore {
/// Create a new store backed by the given connection pool.
pub fn new(pool: SqlitePool) -> Self {
Self { pool }
}
/// Create tables. Idempotent — safe to call on every startup.
pub async fn initialize_schema(&self) -> Result<()> {
sqlx::query(PROFILE_DDL)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
Ok(())
}
/// Fetch the profile for a user. Returns `None` when no row exists.
pub async fn get(&self, user_id: &str) -> Result<Option<UserProfile>> {
let row = sqlx::query(
"SELECT user_id, industry, role, expertise_level, communication_style, \
preferred_language, recent_topics, active_pain_points, preferred_tools, \
confidence, updated_at \
FROM user_profiles WHERE user_id = ?",
)
.bind(user_id)
.fetch_optional(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
match row {
Some(r) => Ok(Some(row_to_profile(&r)?)),
None => Ok(None),
}
}
/// Insert or replace the full profile.
pub async fn upsert(&self, profile: &UserProfile) -> Result<()> {
let topics = serde_json::to_string(&profile.recent_topics)?;
let pains = serde_json::to_string(&profile.active_pain_points)?;
let tools = serde_json::to_string(&profile.preferred_tools)?;
let expertise = profile.expertise_level.map(|l| l.as_str());
let comm = profile.communication_style.map(|c| c.as_str());
let updated = profile.updated_at.to_rfc3339();
sqlx::query(
"INSERT OR REPLACE INTO user_profiles \
(user_id, industry, role, expertise_level, communication_style, \
preferred_language, recent_topics, active_pain_points, preferred_tools, \
confidence, updated_at) \
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
)
.bind(&profile.user_id)
.bind(&profile.industry)
.bind(&profile.role)
.bind(expertise)
.bind(comm)
.bind(&profile.preferred_language)
.bind(&topics)
.bind(&pains)
.bind(&tools)
.bind(profile.confidence)
.bind(&updated)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
Ok(())
}
/// Update a single scalar field by name.
///
/// `field` must be one of: industry, role, expertise_level,
/// communication_style, preferred_language, confidence.
/// Returns error for unrecognised field names (prevents SQL injection).
pub async fn update_field(&self, user_id: &str, field: &str, value: &str) -> Result<()> {
let sql = match field {
"industry" => "UPDATE user_profiles SET industry = ?, updated_at = ? WHERE user_id = ?",
"role" => "UPDATE user_profiles SET role = ?, updated_at = ? WHERE user_id = ?",
"expertise_level" => {
"UPDATE user_profiles SET expertise_level = ?, updated_at = ? WHERE user_id = ?"
}
"communication_style" => {
"UPDATE user_profiles SET communication_style = ?, updated_at = ? WHERE user_id = ?"
}
"preferred_language" => {
"UPDATE user_profiles SET preferred_language = ?, updated_at = ? WHERE user_id = ?"
}
"confidence" => {
"UPDATE user_profiles SET confidence = ?, updated_at = ? WHERE user_id = ?"
}
_ => {
return Err(zclaw_types::ZclawError::InvalidInput(format!(
"Unknown profile field: {}",
field
)));
}
};
let now = Utc::now().to_rfc3339();
// confidence is REAL; parse the value string.
if field == "confidence" {
let f: f32 = value.parse().map_err(|_| {
zclaw_types::ZclawError::InvalidInput(format!("Invalid confidence: {}", value))
})?;
sqlx::query(sql)
.bind(f)
.bind(&now)
.bind(user_id)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
} else {
sqlx::query(sql)
.bind(value)
.bind(&now)
.bind(user_id)
.execute(&self.pool)
.await
.map_err(|e| zclaw_types::ZclawError::StorageError(e.to_string()))?;
}
Ok(())
}
/// Append a topic to `recent_topics`, trimming to `max_topics`.
/// Creates a default profile row if none exists.
pub async fn add_recent_topic(
&self,
user_id: &str,
topic: &str,
max_topics: usize,
) -> Result<()> {
let mut profile = self
.get(user_id)
.await?
.unwrap_or_else(|| UserProfile::blank(user_id));
// Deduplicate: remove if already present, then push to front.
profile.recent_topics.retain(|t| t != topic);
profile.recent_topics.insert(0, topic.to_string());
profile.recent_topics.truncate(max_topics);
profile.updated_at = Utc::now();
self.upsert(&profile).await
}
/// Append a pain point, trimming to `max_pains`.
/// Creates a default profile row if none exists.
pub async fn add_pain_point(
&self,
user_id: &str,
pain: &str,
max_pains: usize,
) -> Result<()> {
let mut profile = self
.get(user_id)
.await?
.unwrap_or_else(|| UserProfile::blank(user_id));
profile.active_pain_points.retain(|p| p != pain);
profile.active_pain_points.insert(0, pain.to_string());
profile.active_pain_points.truncate(max_pains);
profile.updated_at = Utc::now();
self.upsert(&profile).await
}
/// Append a preferred tool, trimming to `max_tools`.
/// Creates a default profile row if none exists.
pub async fn add_preferred_tool(
&self,
user_id: &str,
tool: &str,
max_tools: usize,
) -> Result<()> {
let mut profile = self
.get(user_id)
.await?
.unwrap_or_else(|| UserProfile::blank(user_id));
profile.preferred_tools.retain(|t| t != tool);
profile.preferred_tools.insert(0, tool.to_string());
profile.preferred_tools.truncate(max_tools);
profile.updated_at = Utc::now();
self.upsert(&profile).await
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
/// Helper: create an in-memory store with schema.
async fn test_store() -> UserProfileStore {
let pool = SqlitePool::connect("sqlite::memory:")
.await
.expect("in-memory pool");
let store = UserProfileStore::new(pool);
store.initialize_schema().await.expect("schema init");
store
}
#[tokio::test]
async fn test_initialize_schema_idempotent() {
let store = test_store().await;
// Second call should succeed without error.
store.initialize_schema().await.unwrap();
store.initialize_schema().await.unwrap();
}
#[tokio::test]
async fn test_get_returns_none_for_missing() {
let store = test_store().await;
let profile = store.get("nonexistent").await.unwrap();
assert!(profile.is_none());
}
#[tokio::test]
async fn test_upsert_and_get() {
let store = test_store().await;
let mut profile = UserProfile::blank("default_user");
profile.industry = Some("healthcare".to_string());
profile.role = Some("admin".to_string());
profile.expertise_level = Some(Level::Intermediate);
profile.communication_style = Some(CommStyle::Concise);
profile.recent_topics = vec!["reporting".to_string(), "compliance".to_string()];
profile.confidence = 0.65;
store.upsert(&profile).await.unwrap();
let loaded = store.get("default_user").await.unwrap().unwrap();
assert_eq!(loaded.user_id, "default_user");
assert_eq!(loaded.industry.as_deref(), Some("healthcare"));
assert_eq!(loaded.role.as_deref(), Some("admin"));
assert_eq!(loaded.expertise_level, Some(Level::Intermediate));
assert_eq!(loaded.communication_style, Some(CommStyle::Concise));
assert_eq!(loaded.recent_topics, vec!["reporting", "compliance"]);
assert!((loaded.confidence - 0.65).abs() < f32::EPSILON);
}
#[tokio::test]
async fn test_upsert_replaces_existing() {
let store = test_store().await;
let mut profile = UserProfile::blank("user1");
profile.industry = Some("tech".to_string());
store.upsert(&profile).await.unwrap();
profile.industry = Some("finance".to_string());
store.upsert(&profile).await.unwrap();
let loaded = store.get("user1").await.unwrap().unwrap();
assert_eq!(loaded.industry.as_deref(), Some("finance"));
}
#[tokio::test]
async fn test_update_field_scalar() {
let store = test_store().await;
let profile = UserProfile::blank("user2");
store.upsert(&profile).await.unwrap();
store
.update_field("user2", "industry", "education")
.await
.unwrap();
store
.update_field("user2", "role", "teacher")
.await
.unwrap();
let loaded = store.get("user2").await.unwrap().unwrap();
assert_eq!(loaded.industry.as_deref(), Some("education"));
assert_eq!(loaded.role.as_deref(), Some("teacher"));
}
#[tokio::test]
async fn test_update_field_confidence() {
let store = test_store().await;
let profile = UserProfile::blank("user3");
store.upsert(&profile).await.unwrap();
store
.update_field("user3", "confidence", "0.88")
.await
.unwrap();
let loaded = store.get("user3").await.unwrap().unwrap();
assert!((loaded.confidence - 0.88).abs() < f32::EPSILON);
}
#[tokio::test]
async fn test_update_field_rejects_unknown() {
let store = test_store().await;
let result = store.update_field("user", "evil_column", "oops").await;
assert!(result.is_err());
}
#[tokio::test]
async fn test_add_recent_topic_auto_creates_profile() {
let store = test_store().await;
// No profile exists yet.
store
.add_recent_topic("new_user", "data analysis", 5)
.await
.unwrap();
let loaded = store.get("new_user").await.unwrap().unwrap();
assert_eq!(loaded.recent_topics, vec!["data analysis"]);
}
#[tokio::test]
async fn test_add_recent_topic_dedup_and_trim() {
let store = test_store().await;
let profile = UserProfile::blank("user");
store.upsert(&profile).await.unwrap();
store.add_recent_topic("user", "topic_a", 3).await.unwrap();
store.add_recent_topic("user", "topic_b", 3).await.unwrap();
store.add_recent_topic("user", "topic_c", 3).await.unwrap();
// Duplicate — should move to front, not add.
store.add_recent_topic("user", "topic_a", 3).await.unwrap();
let loaded = store.get("user").await.unwrap().unwrap();
assert_eq!(
loaded.recent_topics,
vec!["topic_a", "topic_c", "topic_b"]
);
}
#[tokio::test]
async fn test_add_pain_point_trim() {
let store = test_store().await;
for i in 0..5 {
store
.add_pain_point("user", &format!("pain_{}", i), 3)
.await
.unwrap();
}
let loaded = store.get("user").await.unwrap().unwrap();
assert_eq!(loaded.active_pain_points.len(), 3);
// Most recent first.
assert_eq!(loaded.active_pain_points[0], "pain_4");
}
#[tokio::test]
async fn test_add_preferred_tool_trim() {
let store = test_store().await;
store
.add_preferred_tool("user", "python", 5)
.await
.unwrap();
store
.add_preferred_tool("user", "rust", 5)
.await
.unwrap();
// Duplicate — moved to front.
store
.add_preferred_tool("user", "python", 5)
.await
.unwrap();
let loaded = store.get("user").await.unwrap().unwrap();
assert_eq!(loaded.preferred_tools, vec!["python", "rust"]);
}
#[test]
fn test_level_round_trip() {
for level in [Level::Beginner, Level::Intermediate, Level::Expert] {
assert_eq!(Level::from_str_lossy(level.as_str()), Some(level));
}
assert_eq!(Level::from_str_lossy("unknown"), None);
}
#[test]
fn test_comm_style_round_trip() {
for style in [
CommStyle::Concise,
CommStyle::Detailed,
CommStyle::Formal,
CommStyle::Casual,
] {
assert_eq!(CommStyle::from_str_lossy(style.as_str()), Some(style));
}
assert_eq!(CommStyle::from_str_lossy("unknown"), None);
}
#[test]
fn test_profile_serialization() {
let mut p = UserProfile::blank("test_user");
p.industry = Some("logistics".into());
p.expertise_level = Some(Level::Expert);
p.communication_style = Some(CommStyle::Detailed);
p.recent_topics = vec!["exports".into(), "customs".into()];
let json = serde_json::to_string(&p).unwrap();
let decoded: UserProfile = serde_json::from_str(&json).unwrap();
assert_eq!(decoded.user_id, "test_user");
assert_eq!(decoded.industry.as_deref(), Some("logistics"));
assert_eq!(decoded.expertise_level, Some(Level::Expert));
assert_eq!(decoded.communication_style, Some(CommStyle::Detailed));
assert_eq!(decoded.recent_topics, vec!["exports", "customs"]);
}
}

View File

@@ -20,7 +20,9 @@ use crate::mcp::{McpClient, McpTool, McpToolCallRequest};
/// so we expose a simple trait here that mirrors the essential Tool interface.
/// The runtime side will wrap this in a thin `Tool` impl.
pub struct McpToolAdapter {
/// Tool name (prefixed with server name to avoid collisions)
/// Service name this tool belongs to
service_name: String,
/// Tool name (original from MCP server, NOT prefixed)
name: String,
/// Tool description
description: String,
@@ -30,9 +32,22 @@ pub struct McpToolAdapter {
client: Arc<dyn McpClient>,
}
impl McpToolAdapter {
pub fn new(tool: McpTool, client: Arc<dyn McpClient>) -> Self {
impl Clone for McpToolAdapter {
fn clone(&self) -> Self {
Self {
service_name: self.service_name.clone(),
name: self.name.clone(),
description: self.description.clone(),
input_schema: self.input_schema.clone(),
client: self.client.clone(),
}
}
}
impl McpToolAdapter {
pub fn new(service_name: String, tool: McpTool, client: Arc<dyn McpClient>) -> Self {
Self {
service_name,
name: tool.name,
description: tool.description,
input_schema: tool.input_schema,
@@ -41,16 +56,29 @@ impl McpToolAdapter {
}
/// Create adapters for all tools from an MCP server
pub async fn from_server(client: Arc<dyn McpClient>) -> Result<Vec<Self>> {
pub async fn from_server(service_name: String, client: Arc<dyn McpClient>) -> Result<Vec<Self>> {
let tools = client.list_tools().await?;
debug!(count = tools.len(), "Discovered MCP tools");
Ok(tools.into_iter().map(|t| Self::new(t, client.clone())).collect())
Ok(tools.into_iter().map(|t| Self::new(service_name.clone(), t, client.clone())).collect())
}
pub fn name(&self) -> &str {
&self.name
}
/// Full qualified name: service_name.tool_name (for ToolRegistry to avoid collisions)
pub fn qualified_name(&self) -> String {
format!("{}.{}", self.service_name, self.name)
}
pub fn service_name(&self) -> &str {
&self.service_name
}
pub fn tool_name(&self) -> &str {
&self.name
}
pub fn description(&self) -> &str {
&self.description
}
@@ -129,7 +157,7 @@ impl McpServiceManager {
name: String,
client: Arc<dyn McpClient>,
) -> Result<Vec<&McpToolAdapter>> {
let adapters = McpToolAdapter::from_server(client.clone()).await?;
let adapters = McpToolAdapter::from_server(name.clone(), client.clone()).await?;
self.clients.insert(name.clone(), client);
self.adapters.insert(name.clone(), adapters);
Ok(self.adapters.get(&name).unwrap().iter().collect())

View File

@@ -11,6 +11,7 @@ description = "ZCLAW runtime with LLM drivers and agent loop"
zclaw-types = { workspace = true }
zclaw-memory = { workspace = true }
zclaw-growth = { workspace = true }
zclaw-protocols = { workspace = true }
tokio = { workspace = true }
tokio-stream = { workspace = true }

View File

@@ -231,15 +231,19 @@ impl AnthropicDriver {
input: input.clone(),
}],
}),
zclaw_types::Message::ToolResult { tool_call_id: _, tool: _, output, is_error } => {
let content = if *is_error {
zclaw_types::Message::ToolResult { tool_call_id, tool: _, output, is_error } => {
let content_text = if *is_error {
format!("Error: {}", output)
} else {
output.to_string()
};
Some(AnthropicMessage {
role: "user".to_string(),
content: vec![ContentBlock::Text { text: content }],
content: vec![ContentBlock::ToolResult {
tool_use_id: tool_call_id.clone(),
content: content_text,
is_error: *is_error,
}],
})
}
_ => None,

View File

@@ -116,6 +116,13 @@ pub enum ContentBlock {
Text { text: String },
Thinking { thinking: String },
ToolUse { id: String, name: String, input: serde_json::Value },
/// Anthropic API tool result — must be sent as `role: "user"` with this content block.
ToolResult {
tool_use_id: String,
content: String,
#[serde(skip_serializing_if = "std::ops::Not::not")]
is_error: bool,
},
}
/// Stop reason

View File

@@ -737,6 +737,9 @@ impl OpenAiDriver {
input: input.clone(),
});
}
ContentBlock::ToolResult { .. } => {
// ToolResult is only used in request messages, never in responses
}
}
}

View File

@@ -17,6 +17,7 @@ pub mod growth;
pub mod compaction;
pub mod middleware;
pub mod prompt;
pub mod nl_schedule;
// Re-export main types
pub use driver::{
@@ -33,3 +34,4 @@ pub use zclaw_growth::EmbeddingClient;
pub use zclaw_growth::LlmDriverForExtraction;
pub use compaction::{CompactionConfig, CompactionOutcome};
pub use prompt::{PromptBuilder, PromptContext, PromptSection};
pub use middleware::butler_router::{ButlerRouterMiddleware, IndustryKeywordConfig};

View File

@@ -278,3 +278,4 @@ pub mod title;
pub mod token_calibration;
pub mod tool_error;
pub mod tool_output_guard;
pub mod trajectory_recorder;

View File

@@ -4,8 +4,14 @@
//! to classify intent, and injects routing context into the system prompt.
//!
//! Priority: 80 (runs before data_masking at 90, so it sees raw user input).
//!
//! Supports two modes:
//! 1. **Static mode** (default): Uses built-in `KeywordClassifier` with 4 healthcare domains.
//! 2. **Dynamic mode**: Industry keywords loaded from SaaS via `update_industry_keywords()`.
use async_trait::async_trait;
use std::sync::Arc;
use tokio::sync::RwLock;
use zclaw_types::Result;
use crate::middleware::{AgentMiddleware, MiddlewareContext, MiddlewareDecision};
@@ -21,19 +27,38 @@ pub struct ButlerRouterMiddleware {
/// Optional full semantic router (when zclaw-skills is available).
/// If None, falls back to keyword-based classification.
_router: Option<Box<dyn ButlerRouterBackend>>,
/// Dynamic industry keywords (loaded from SaaS industry config).
/// If empty, falls back to static KeywordClassifier.
industry_keywords: Arc<RwLock<Vec<IndustryKeywordConfig>>>,
}
/// A single industry's keyword configuration for routing.
#[derive(Debug, Clone)]
pub struct IndustryKeywordConfig {
pub id: String,
pub name: String,
pub keywords: Vec<String>,
pub system_prompt: String,
}
/// Backend trait for routing implementations.
///
/// Implementations can be keyword-based (default), semantic (TF-IDF/embedding),
/// or any custom strategy. The kernel layer provides a `SemanticSkillRouter`
/// adapter that bridges `zclaw_skills::SemanticSkillRouter` to this trait.
#[async_trait]
trait ButlerRouterBackend: Send + Sync {
pub trait ButlerRouterBackend: Send + Sync {
async fn classify(&self, query: &str) -> Option<RoutingHint>;
}
/// A routing hint to inject into the system prompt.
struct RoutingHint {
category: String,
confidence: f32,
skill_id: Option<String>,
pub struct RoutingHint {
pub category: String,
pub confidence: f32,
pub skill_id: Option<String>,
/// Optional domain-specific system prompt to inject.
pub domain_prompt: Option<String>,
}
// ---------------------------------------------------------------------------
@@ -77,13 +102,13 @@ impl KeywordClassifier {
]);
let domains = [
("healthcare", healthcare_score),
("data_report", data_score),
("policy_compliance", policy_score),
("meeting_coordination", meeting_score),
("healthcare", healthcare_score, Some("用户可能在询问医院行政管理相关的问题。请注意使用医疗行业术语,回答要专业准确。")),
("data_report", data_score, Some("用户可能在请求数据统计或报表相关的工作。请优先提供结构化的数据和建议。")),
("policy_compliance", policy_score, Some("用户可能在咨询政策法规或合规要求。请引用具体政策文件并给出明确的合规建议。")),
("meeting_coordination", meeting_score, Some("用户可能在处理会议协调或行政事务。请提供简洁的待办清单或行动方案。")),
];
let (best_domain, best_score) = domains
let (best_domain, best_score, best_prompt) = domains
.into_iter()
.max_by(|a, b| a.1.partial_cmp(&b.1).unwrap_or(std::cmp::Ordering::Equal))?;
@@ -95,6 +120,7 @@ impl KeywordClassifier {
category: best_domain.to_string(),
confidence: best_score,
skill_id: None,
domain_prompt: best_prompt.map(|s| s.to_string()),
})
}
@@ -104,9 +130,40 @@ impl KeywordClassifier {
if hits == 0 {
return 0.0;
}
// Normalize: more hits = higher score, capped at 1.0
// Normalize: 3 keyword hits → score 1.0 (saturated). Threshold 0.2 ≈ 0.6 hits.
(hits as f32 / 3.0).min(1.0)
}
/// Classify against dynamic industry keyword configs.
///
/// Tie-breaking: when two industries score equally, the *first* entry wins
/// (keeps existing best on `<=`). Industries should be ordered by priority
/// in the config array if specific tie-breaking is desired.
fn classify_with_industries(query: &str, industries: &[IndustryKeywordConfig]) -> Option<RoutingHint> {
let lower = query.to_lowercase();
let mut best: Option<(String, f32, String)> = None;
for industry in industries {
let keywords: Vec<&str> = industry.keywords.iter().map(|s| s.as_str()).collect();
let score = Self::score_domain(&lower, &keywords);
if score < 0.2 {
continue;
}
match &best {
Some((_, best_score, _)) if score <= *best_score => {}
_ => {
best = Some((industry.id.clone(), score, industry.system_prompt.clone()));
}
}
}
best.map(|(id, score, prompt)| RoutingHint {
category: id,
confidence: score,
skill_id: None,
domain_prompt: if prompt.is_empty() { None } else { Some(prompt) },
})
}
}
#[async_trait]
@@ -123,23 +180,87 @@ impl ButlerRouterBackend for KeywordClassifier {
impl ButlerRouterMiddleware {
/// Create a new butler router with keyword-based classification only.
pub fn new() -> Self {
Self { _router: None }
Self {
_router: None,
industry_keywords: Arc::new(RwLock::new(Vec::new())),
}
}
/// Create a butler router with a custom semantic routing backend.
///
/// The kernel layer uses this to inject `SemanticSkillRouter` from `zclaw-skills`,
/// enabling TF-IDF + embedding-based intent classification across all 75 skills.
pub fn with_router(router: Box<dyn ButlerRouterBackend>) -> Self {
Self {
_router: Some(router),
industry_keywords: Arc::new(RwLock::new(Vec::new())),
}
}
/// Create a butler router with a custom semantic routing backend AND
/// a shared industry keywords Arc.
///
/// The shared Arc allows the Tauri command layer to update industry keywords
/// through the Kernel's `industry_keywords()` field, which the middleware
/// reads automatically — no chain rebuild needed.
pub fn with_router_and_shared_keywords(
router: Box<dyn ButlerRouterBackend>,
shared_keywords: Arc<RwLock<Vec<IndustryKeywordConfig>>>,
) -> Self {
Self {
_router: Some(router),
industry_keywords: shared_keywords,
}
}
/// Update dynamic industry keyword configs (called from Tauri command or SaaS sync).
pub async fn update_industry_keywords(&self, configs: Vec<IndustryKeywordConfig>) {
let mut guard = self.industry_keywords.write().await;
tracing::info!("ButlerRouter: updating industry keywords ({} industries)", configs.len());
*guard = configs;
}
/// Domain context to inject into system prompt based on routing hint.
///
/// Uses structured `<butler-context>` XML fencing (Hermes-inspired) for
/// reliable prompt cache preservation across turns.
fn build_context_injection(hint: &RoutingHint) -> String {
let domain_context = match hint.category.as_str() {
"healthcare" => "用户可能在询问医院行政管理相关的问题。请注意使用医疗行业术语,回答要专业准确。",
"data_report" => "用户可能在请求数据统计或报表相关的工作。请优先提供结构化的数据和建议。",
"policy_compliance" => "用户可能在咨询政策法规或合规要求。请引用具体政策文件并给出明确的合规建议。",
"meeting_coordination" => "用户可能在处理会议协调或行政事务。请提供简洁的待办清单或行动方案。",
_ => return String::new(),
};
// Semantic skill routing
if hint.category == "semantic_skill" {
if let Some(ref skill_id) = hint.skill_id {
return format!(
"\n\n<butler-context>\n<routing>匹配技能: {} (置信度: {:.0}%)</routing>\n<system-note>系统检测到用户的意图与已注册技能高度相关,请在回答中充分利用该技能的能力。</system-note>\n</butler-context>",
xml_escape(skill_id),
hint.confidence * 100.0
);
}
return String::new();
}
// Use domain_prompt if available (dynamic industry or static with prompt)
let domain_context = hint.domain_prompt.as_deref().unwrap_or_else(|| {
match hint.category.as_str() {
"healthcare" => "用户可能在询问医院行政管理相关的问题。",
"data_report" => "用户可能在请求数据统计或报表相关的工作。",
"policy_compliance" => "用户可能在咨询政策法规或合规要求。",
"meeting_coordination" => "用户可能在处理会议协调或行政事务。",
_ => "",
}
});
if domain_context.is_empty() {
return String::new();
}
let skill_info = hint.skill_id.as_ref().map_or(String::new(), |id| {
format!("\n<skill>{}</skill>", xml_escape(id))
});
format!(
"\n\n[路由上下文] (置信度: {:.0}%)\n{}",
"\n\n<butler-context>\n<routing confidence=\"{:.0}%\">{}</routing>{}<system-note>以上是管家系统对您当前意图的分析。在对话中自然运用这些信息,主动提供有帮助的建议。</system-note>\n</butler-context>",
hint.confidence * 100.0,
domain_context
xml_escape(domain_context),
skill_info
)
}
}
@@ -150,6 +271,15 @@ impl Default for ButlerRouterMiddleware {
}
}
/// Escape XML special characters in user/admin-provided content to prevent
/// breaking the `<butler-context>` XML structure.
fn xml_escape(s: &str) -> String {
s.replace('&', "&amp;")
.replace('<', "&lt;")
.replace('>', "&gt;")
.replace('"', "&quot;")
}
#[async_trait]
impl AgentMiddleware for ButlerRouterMiddleware {
fn name(&self) -> &str {
@@ -167,10 +297,25 @@ impl AgentMiddleware for ButlerRouterMiddleware {
return Ok(MiddlewareDecision::Continue);
}
let hint = if let Some(ref router) = self._router {
router.classify(user_input).await
// Try dynamic industry keywords first
let industries = self.industry_keywords.read().await;
let hint = if !industries.is_empty() {
KeywordClassifier::classify_with_industries(user_input, &industries)
} else {
KeywordClassifier.classify(user_input).await
None
};
drop(industries);
// Fall back to static or custom router
let hint = match hint {
Some(h) => Some(h),
None => {
if let Some(ref router) = self._router {
router.classify(user_input).await
} else {
KeywordClassifier.classify(user_input).await
}
}
};
if let Some(hint) = hint {
@@ -232,7 +377,6 @@ mod tests {
#[test]
fn test_no_match_returns_none() {
let result = KeywordClassifier::classify_query("今天天气怎么样?");
// "天气" doesn't match any domain strongly enough
assert!(result.is_none() || result.unwrap().confidence < 0.3);
}
@@ -242,13 +386,71 @@ mod tests {
category: "healthcare".to_string(),
confidence: 0.8,
skill_id: None,
domain_prompt: None,
};
let injection = ButlerRouterMiddleware::build_context_injection(&hint);
assert!(injection.contains("路由上下文"));
assert!(injection.contains("医院行政"));
assert!(injection.contains("butler-context"));
assert!(injection.contains("医院"));
assert!(injection.contains("80%"));
}
#[test]
fn test_dynamic_industry_classification() {
let industries = vec![
IndustryKeywordConfig {
id: "ecommerce".to_string(),
name: "电商零售".to_string(),
keywords: vec![
"库存".to_string(), "促销".to_string(), "SKU".to_string(),
"GMV".to_string(), "转化率".to_string(),
],
system_prompt: "电商行业上下文".to_string(),
},
IndustryKeywordConfig {
id: "garment".to_string(),
name: "制衣制造".to_string(),
keywords: vec![
"面料".to_string(), "打版".to_string(), "裁床".to_string(),
"缝纫".to_string(), "供应链".to_string(),
],
system_prompt: "制衣行业上下文".to_string(),
},
];
// Ecommerce match
let hint = KeywordClassifier::classify_with_industries(
"帮我查一下这个SKU的库存和促销活动",
&industries,
).unwrap();
assert_eq!(hint.category, "ecommerce");
assert!(hint.domain_prompt.is_some());
// Garment match
let hint = KeywordClassifier::classify_with_industries(
"这批面料的打版什么时候完成?裁床排期如何?",
&industries,
).unwrap();
assert_eq!(hint.category, "garment");
}
#[test]
fn test_dynamic_industry_no_match() {
let industries = vec![
IndustryKeywordConfig {
id: "ecommerce".to_string(),
name: "电商零售".to_string(),
keywords: vec!["库存".to_string(), "促销".to_string()],
system_prompt: "电商行业上下文".to_string(),
},
];
let result = KeywordClassifier::classify_with_industries(
"今天天气怎么样?",
&industries,
);
assert!(result.is_none());
}
#[tokio::test]
async fn test_middleware_injects_context() {
let mw = ButlerRouterMiddleware::new();
@@ -265,10 +467,39 @@ mod tests {
let decision = mw.before_completion(&mut ctx).await.unwrap();
assert!(matches!(decision, MiddlewareDecision::Continue));
assert!(ctx.system_prompt.contains("路由上下文"));
assert!(ctx.system_prompt.contains("butler-context"));
assert!(ctx.system_prompt.contains("医院"));
}
#[tokio::test]
async fn test_middleware_with_dynamic_industries() {
let mw = ButlerRouterMiddleware::new();
mw.update_industry_keywords(vec![
IndustryKeywordConfig {
id: "ecommerce".to_string(),
name: "电商零售".to_string(),
keywords: vec!["库存".to_string(), "GMV".to_string(), "转化率".to_string()],
system_prompt: "您是电商运营管家。".to_string(),
},
]).await;
let mut ctx = MiddlewareContext {
agent_id: test_agent_id(),
session_id: test_session_id(),
user_input: "帮我查一下库存和GMV数据".to_string(),
system_prompt: "You are a helpful assistant.".to_string(),
messages: vec![],
response_content: vec![],
input_tokens: 0,
output_tokens: 0,
};
let decision = mw.before_completion(&mut ctx).await.unwrap();
assert!(matches!(decision, MiddlewareDecision::Continue));
assert!(ctx.system_prompt.contains("butler-context"));
assert!(ctx.system_prompt.contains("电商运营管家"));
}
#[tokio::test]
async fn test_middleware_skips_empty_input() {
let mw = ButlerRouterMiddleware::new();
@@ -290,9 +521,7 @@ mod tests {
#[test]
fn test_mixed_domain_picks_best() {
// "医保报表" touches both healthcare and data_report
let hint = KeywordClassifier::classify_query("帮我做一份医保费用的月度报表").unwrap();
// Should pick the domain with highest score
assert!(!hint.category.is_empty());
assert!(hint.confidence > 0.3);
}

View File

@@ -7,7 +7,7 @@
use std::collections::HashMap;
use std::sync::atomic::{AtomicU64, Ordering};
use std::sync::{Arc, RwLock};
use std::sync::{Arc, LazyLock, RwLock};
use async_trait::async_trait;
use regex::Regex;
@@ -15,6 +15,26 @@ use zclaw_types::{Message, Result};
use super::{AgentMiddleware, MiddlewareContext, MiddlewareDecision};
// ---------------------------------------------------------------------------
// Pre-compiled regex patterns (compiled once, reused across all calls)
// ---------------------------------------------------------------------------
static RE_COMPANY: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(r"[^\s]{1,20}(?:公司|厂|集团|工作室|商行|有限|股份)").unwrap()
});
static RE_MONEY: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(r"[¥¥$]\s*[\d,.]+[万亿]?元?|[\d,.]+[万亿]元").unwrap()
});
static RE_PHONE: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(r"1[3-9]\d-?\d{4}-?\d{4}").unwrap()
});
static RE_EMAIL: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}").unwrap()
});
static RE_ID_CARD: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(r"\b\d{17}[\dXx]\b").unwrap()
});
// ---------------------------------------------------------------------------
// DataMasker — entity detection and token mapping
// ---------------------------------------------------------------------------
@@ -73,38 +93,28 @@ impl DataMasker {
let mut entities = Vec::new();
// Company names: X公司、XX集团、XX工作室 (1-20 char prefix + suffix)
if let Ok(re) = Regex::new(r"[^\s]{1,20}(?:公司|厂|集团|工作室|商行|有限|股份)") {
for cap in re.find_iter(text) {
entities.push(cap.as_str().to_string());
}
for cap in RE_COMPANY.find_iter(text) {
entities.push(cap.as_str().to_string());
}
// Money amounts: ¥50万、¥100元、$200、50万元
if let Ok(re) = Regex::new(r"[¥¥$]\s*[\d,.]+[万亿]?元?|[\d,.]+[万亿]元") {
for cap in re.find_iter(text) {
entities.push(cap.as_str().to_string());
}
for cap in RE_MONEY.find_iter(text) {
entities.push(cap.as_str().to_string());
}
// Phone numbers: 1XX-XXXX-XXXX or 1XXXXXXXXXX
if let Ok(re) = Regex::new(r"1[3-9]\d-?\d{4}-?\d{4}") {
for cap in re.find_iter(text) {
entities.push(cap.as_str().to_string());
}
for cap in RE_PHONE.find_iter(text) {
entities.push(cap.as_str().to_string());
}
// Email addresses
if let Ok(re) = Regex::new(r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}") {
for cap in re.find_iter(text) {
entities.push(cap.as_str().to_string());
}
for cap in RE_EMAIL.find_iter(text) {
entities.push(cap.as_str().to_string());
}
// ID card numbers (simplified): 18 digits
if let Ok(re) = Regex::new(r"\b\d{17}[\dXx]\b") {
for cap in re.find_iter(text) {
entities.push(cap.as_str().to_string());
}
for cap in RE_ID_CARD.find_iter(text) {
entities.push(cap.as_str().to_string());
}
// Sort by length descending to replace longest entities first
@@ -115,11 +125,35 @@ impl DataMasker {
/// Get existing token for entity or create a new one.
fn get_or_create_token(&self, entity: &str) -> String {
/// Recover from a poisoned RwLock by taking the inner value and re-wrapping.
/// A poisoned lock only means a panic occurred while holding it — the data is still valid.
fn recover_read<T>(lock: &RwLock<T>) -> std::sync::LockResult<std::sync::RwLockReadGuard<'_, T>> {
match lock.read() {
Ok(guard) => Ok(guard),
Err(_e) => {
tracing::warn!("[DataMasker] RwLock poisoned during read, recovering");
// Poison error still gives us access to the inner guard
lock.read()
}
}
}
fn recover_write<T>(lock: &RwLock<T>) -> std::sync::LockResult<std::sync::RwLockWriteGuard<'_, T>> {
match lock.write() {
Ok(guard) => Ok(guard),
Err(_e) => {
tracing::warn!("[DataMasker] RwLock poisoned during write, recovering");
lock.write()
}
}
}
// Check if already mapped
{
let forward = self.forward.read().unwrap();
if let Some(token) = forward.get(entity) {
return token.clone();
if let Ok(forward) = recover_read(&self.forward) {
if let Some(token) = forward.get(entity) {
return token.clone();
}
}
}
@@ -128,12 +162,10 @@ impl DataMasker {
let token = format!("__ENTITY_{}__", counter);
// Store in both mappings
{
let mut forward = self.forward.write().unwrap();
if let Ok(mut forward) = recover_write(&self.forward) {
forward.insert(entity.to_string(), token.clone());
}
{
let mut reverse = self.reverse.write().unwrap();
if let Ok(mut reverse) = recover_write(&self.reverse) {
reverse.insert(token.clone(), entity.to_string());
}

View File

@@ -0,0 +1,231 @@
//! Trajectory Recorder Middleware — records tool-call chains for analysis.
//!
//! Priority 650 (telemetry range: after business middleware at 400-599,
//! before token_calibration at 700). Records events asynchronously via
//! `tokio::spawn` so the main conversation flow is never blocked.
use async_trait::async_trait;
use std::sync::Arc;
use std::sync::atomic::{AtomicU64, Ordering};
use tokio::sync::RwLock;
use zclaw_memory::trajectory_store::{
TrajectoryEvent, TrajectoryStepType, TrajectoryStore,
};
use zclaw_types::Result;
use crate::driver::ContentBlock;
use crate::middleware::{AgentMiddleware, MiddlewareContext, MiddlewareDecision};
// ---------------------------------------------------------------------------
// Step counter per session
// ---------------------------------------------------------------------------
/// Tracks step indices per session so events are ordered correctly.
struct StepCounter {
counters: RwLock<Vec<(String, Arc<AtomicU64>)>>,
}
impl StepCounter {
fn new() -> Self {
Self {
counters: RwLock::new(Vec::new()),
}
}
async fn next(&self, session_id: &str) -> usize {
let map = self.counters.read().await;
for (sid, counter) in map.iter() {
if sid == session_id {
return counter.fetch_add(1, Ordering::Relaxed) as usize;
}
}
drop(map);
let mut map = self.counters.write().await;
// Double-check after acquiring write lock
for (sid, counter) in map.iter() {
if sid == session_id {
return counter.fetch_add(1, Ordering::Relaxed) as usize;
}
}
let counter = Arc::new(AtomicU64::new(1));
map.push((session_id.to_string(), counter.clone()));
0
}
}
// ---------------------------------------------------------------------------
// TrajectoryRecorderMiddleware
// ---------------------------------------------------------------------------
/// Middleware that records agent loop events into `TrajectoryStore`.
///
/// Hooks:
/// - `before_completion` → records UserRequest step
/// - `after_tool_call` → records ToolExecution step
/// - `after_completion` → records LlmGeneration step
pub struct TrajectoryRecorderMiddleware {
store: Arc<TrajectoryStore>,
step_counter: StepCounter,
}
impl TrajectoryRecorderMiddleware {
pub fn new(store: Arc<TrajectoryStore>) -> Self {
Self {
store,
step_counter: StepCounter::new(),
}
}
/// Spawn an async write — fire-and-forget, non-blocking.
fn spawn_write(&self, event: TrajectoryEvent) {
let store = self.store.clone();
tokio::spawn(async move {
if let Err(e) = store.insert_event(&event).await {
tracing::warn!(
"[TrajectoryRecorder] Async write failed (non-fatal): {}",
e
);
}
});
}
fn truncate(s: &str, max: usize) -> String {
if s.len() <= max {
s.to_string()
} else {
s.chars().take(max).collect::<String>() + ""
}
}
}
#[async_trait]
impl AgentMiddleware for TrajectoryRecorderMiddleware {
fn name(&self) -> &str {
"trajectory_recorder"
}
fn priority(&self) -> i32 {
650
}
async fn before_completion(
&self,
ctx: &mut MiddlewareContext,
) -> Result<MiddlewareDecision> {
if ctx.user_input.is_empty() {
return Ok(MiddlewareDecision::Continue);
}
let step = self.step_counter.next(&ctx.session_id.to_string()).await;
let event = TrajectoryEvent {
id: uuid::Uuid::new_v4().to_string(),
session_id: ctx.session_id.to_string(),
agent_id: ctx.agent_id.to_string(),
step_index: step,
step_type: TrajectoryStepType::UserRequest,
input_summary: Self::truncate(&ctx.user_input, 200),
output_summary: String::new(),
duration_ms: 0,
timestamp: chrono::Utc::now(),
};
self.spawn_write(event);
Ok(MiddlewareDecision::Continue)
}
async fn after_tool_call(
&self,
ctx: &mut MiddlewareContext,
tool_name: &str,
result: &serde_json::Value,
) -> Result<()> {
let step = self.step_counter.next(&ctx.session_id.to_string()).await;
let result_summary = match result {
serde_json::Value::String(s) => Self::truncate(s, 200),
serde_json::Value::Object(_) => {
let s = serde_json::to_string(result).unwrap_or_default();
Self::truncate(&s, 200)
}
other => Self::truncate(&other.to_string(), 200),
};
let event = TrajectoryEvent {
id: uuid::Uuid::new_v4().to_string(),
session_id: ctx.session_id.to_string(),
agent_id: ctx.agent_id.to_string(),
step_index: step,
step_type: TrajectoryStepType::ToolExecution,
input_summary: Self::truncate(tool_name, 200),
output_summary: result_summary,
duration_ms: 0,
timestamp: chrono::Utc::now(),
};
self.spawn_write(event);
Ok(())
}
async fn after_completion(&self, ctx: &MiddlewareContext) -> Result<()> {
let step = self.step_counter.next(&ctx.session_id.to_string()).await;
let output_summary = ctx.response_content.iter()
.filter_map(|b| match b {
ContentBlock::Text { text } => Some(text.as_str()),
_ => None,
})
.collect::<Vec<_>>()
.join(" ");
let event = TrajectoryEvent {
id: uuid::Uuid::new_v4().to_string(),
session_id: ctx.session_id.to_string(),
agent_id: ctx.agent_id.to_string(),
step_index: step,
step_type: TrajectoryStepType::LlmGeneration,
input_summary: String::new(),
output_summary: Self::truncate(&output_summary, 200),
duration_ms: 0,
timestamp: chrono::Utc::now(),
};
self.spawn_write(event);
Ok(())
}
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
#[tokio::test]
async fn test_step_counter_sequential() {
let counter = StepCounter::new();
assert_eq!(counter.next("sess-1").await, 0);
assert_eq!(counter.next("sess-1").await, 1);
assert_eq!(counter.next("sess-1").await, 2);
}
#[tokio::test]
async fn test_step_counter_different_sessions() {
let counter = StepCounter::new();
assert_eq!(counter.next("sess-1").await, 0);
assert_eq!(counter.next("sess-2").await, 0);
assert_eq!(counter.next("sess-1").await, 1);
assert_eq!(counter.next("sess-2").await, 1);
}
#[test]
fn test_truncate_short() {
assert_eq!(TrajectoryRecorderMiddleware::truncate("hello", 10), "hello");
}
#[test]
fn test_truncate_long() {
let long: String = "".repeat(300);
let truncated = TrajectoryRecorderMiddleware::truncate(&long, 200);
assert!(truncated.chars().count() <= 201); // 200 + …
}
}

View File

@@ -0,0 +1,607 @@
//! Natural Language Schedule Parser — transforms Chinese time expressions into cron.
//!
//! Three-layer fallback strategy:
//! 1. Regex pattern matching (covers ~80% of common expressions)
//! 2. LLM-assisted parsing (for ambiguous/complex expressions) — TODO: wire when Haiku driver available
//! 3. Interactive clarification (return `Unclear`)
//!
//! Lives in `zclaw-runtime` because it's a pure text→cron utility with no kernel dependency.
use std::sync::LazyLock;
use chrono::Timelike;
use regex::Regex;
use serde::{Deserialize, Serialize};
use zclaw_types::AgentId;
// ---------------------------------------------------------------------------
// Data structures
// ---------------------------------------------------------------------------
/// Result of parsing a natural language schedule expression.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParsedSchedule {
/// Cron expression, e.g. "0 9 * * *"
pub cron_expression: String,
/// Human-readable description of the schedule
pub natural_description: String,
/// Confidence of the parse (0.01.0)
pub confidence: f32,
/// What the task does (extracted from user input)
pub task_description: String,
/// What to trigger when the schedule fires
pub task_target: TaskTarget,
}
/// Target to trigger on schedule.
#[derive(Debug, Clone, Serialize, Deserialize)]
#[serde(tag = "type", content = "id")]
pub enum TaskTarget {
/// Trigger a specific agent
Agent(String),
/// Trigger a specific hand
Hand(String),
/// Trigger a specific workflow
Workflow(String),
/// Generic reminder (no specific target)
Reminder,
}
/// Outcome of NL schedule parsing.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ScheduleParseResult {
/// High-confidence single parse
Exact(ParsedSchedule),
/// Multiple possible interpretations
Ambiguous(Vec<ParsedSchedule>),
/// Unable to parse — needs user clarification
Unclear,
}
// ---------------------------------------------------------------------------
// Pre-compiled regex patterns (LazyLock — compiled once, reused forever)
// ---------------------------------------------------------------------------
/// Time-of-day period fragment used across multiple patterns.
const PERIOD: &str = "(凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)?";
// extract_task_description
static RE_TIME_STRIP: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(
r"^(?:凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)?\d{1,2}[点时:]\d{0,2}分?"
).unwrap()
});
// try_every_day
static RE_EVERY_DAY_EXACT: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(&format!(
r"(?:每天|每日)(?:的)?{}(\d{{1,2}})[点时:](\d{{1,2}})?",
PERIOD
)).unwrap()
});
static RE_EVERY_DAY_PERIOD: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(
r"(?:每天|每日)(?:的)?(凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)"
).unwrap()
});
// try_every_week
static RE_EVERY_WEEK: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(&format!(
r"(?:每周|每个?星期|每个?礼拜)(一|二|三|四|五|六|日|天|周一|周二|周三|周四|周五|周六|周日|周天|星期一|星期二|星期三|星期四|星期五|星期六|星期日|星期天|礼拜一|礼拜二|礼拜三|礼拜四|礼拜五|礼拜六|礼拜日|礼拜天)(?:的)?{}(\d{{1,2}})[点时:](\d{{1,2}})?",
PERIOD
)).unwrap()
});
// try_workday
static RE_WORKDAY_EXACT: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(&format!(
r"(?:工作日|每个?工作日|工作日(?:的)?){}(\d{{1,2}})[点时:](\d{{1,2}})?",
PERIOD
)).unwrap()
});
static RE_WORKDAY_PERIOD: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(
r"(?:工作日|每个?工作日)(?:的)?(凌晨|早上|早晨|上午|中午|下午|午后|傍晚|黄昏|晚上|晚间|夜里|夜晚|半夜|午夜)"
).unwrap()
});
// try_interval
static RE_INTERVAL: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(r"每(\d{1,2})(小时|分钟|分|钟|个小时)").unwrap()
});
// try_monthly
static RE_MONTHLY: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(&format!(
r"(?:每月|每个月)(?:的)?(\d{{1,2}})[号日](?:的)?{}(\d{{1,2}})?[点时:]?(\d{{1,2}})?",
PERIOD
)).unwrap()
});
// try_one_shot
static RE_ONE_SHOT: LazyLock<Regex> = LazyLock::new(|| {
Regex::new(&format!(
r"(明天|后天|大后天)(?:的)?{}(\d{{1,2}})[点时:](\d{{1,2}})?",
PERIOD
)).unwrap()
});
// ---------------------------------------------------------------------------
// Helper lookups (pure functions, no allocation)
// ---------------------------------------------------------------------------
/// Chinese time period keywords → hour mapping
fn period_to_hour(period: &str) -> Option<u32> {
match period {
"凌晨" => Some(0),
"早上" | "早晨" | "上午" => Some(9),
"中午" => Some(12),
"下午" | "午后" => Some(15),
"傍晚" | "黄昏" => Some(18),
"晚上" | "晚间" | "夜里" | "夜晚" => Some(21),
"半夜" | "午夜" => Some(0),
_ => None,
}
}
/// Chinese weekday names → cron day-of-week
fn weekday_to_cron(day: &str) -> Option<&'static str> {
match day {
"" | "周一" | "星期一" | "礼拜一" => Some("1"),
"" | "周二" | "星期二" | "礼拜二" => Some("2"),
"" | "周三" | "星期三" | "礼拜三" => Some("3"),
"" | "周四" | "星期四" | "礼拜四" => Some("4"),
"" | "周五" | "星期五" | "礼拜五" => Some("5"),
"" | "周六" | "星期六" | "礼拜六" => Some("6"),
"" | "周日" | "星期日" | "礼拜日" | "" | "周天" | "星期天" | "礼拜天" => Some("0"),
_ => None,
}
}
/// Adjust hour based on time-of-day period. Chinese 12-hour convention:
/// 下午3点 = 15, 晚上8点 = 20, etc. Morning hours stay as-is.
fn adjust_hour_for_period(hour: u32, period: Option<&str>) -> u32 {
if let Some(p) = period {
match p {
"下午" | "午后" => { if hour < 12 { hour + 12 } else { hour } }
"晚上" | "晚间" | "夜里" | "夜晚" => { if hour < 12 { hour + 12 } else { hour } }
"傍晚" | "黄昏" => { if hour < 12 { hour + 12 } else { hour } }
"中午" => { if hour == 12 { 12 } else if hour < 12 { hour + 12 } else { hour } }
"半夜" | "午夜" => { if hour == 12 { 0 } else { hour } }
_ => hour,
}
} else {
hour
}
}
// ---------------------------------------------------------------------------
// Parser implementation
// ---------------------------------------------------------------------------
/// Parse a natural language schedule expression into a cron expression.
///
/// Uses a series of regex-based pattern matchers covering common Chinese
/// time expressions. Returns `Unclear` if no pattern matches.
pub fn parse_nl_schedule(input: &str, default_agent_id: &AgentId) -> ScheduleParseResult {
let input = input.trim();
if input.is_empty() {
return ScheduleParseResult::Unclear;
}
let task_description = extract_task_description(input);
if let Some(result) = try_every_day(input, &task_description, default_agent_id) {
return result;
}
if let Some(result) = try_every_week(input, &task_description, default_agent_id) {
return result;
}
if let Some(result) = try_workday(input, &task_description, default_agent_id) {
return result;
}
if let Some(result) = try_interval(input, &task_description, default_agent_id) {
return result;
}
if let Some(result) = try_monthly(input, &task_description, default_agent_id) {
return result;
}
if let Some(result) = try_one_shot(input, &task_description, default_agent_id) {
return result;
}
ScheduleParseResult::Unclear
}
/// Extract task description from input, stripping schedule-related keywords.
fn extract_task_description(input: &str) -> String {
let strip_prefixes = [
"每天", "每日", "每周", "工作日", "每个工作日",
"每月", "", "定时", "定期",
"提醒我", "提醒", "帮我", "", "",
"明天", "后天", "大后天",
];
let mut desc = input.to_string();
for _ in 0..3 {
loop {
let mut stripped = false;
for prefix in &strip_prefixes {
if desc.starts_with(prefix) {
desc = desc[prefix.len()..].to_string();
stripped = true;
}
}
if !stripped { break; }
}
let new_desc = RE_TIME_STRIP.replace(&desc, "").to_string();
if new_desc == desc { break; }
desc = new_desc;
}
desc.trim().to_string()
}
// -- Pattern matchers (all use pre-compiled statics) --
fn try_every_day(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
if let Some(caps) = RE_EVERY_DAY_EXACT.captures(input) {
let period = caps.get(1).map(|m| m.as_str());
let raw_hour: u32 = caps.get(2)?.as_str().parse().ok()?;
let minute: u32 = caps.get(3).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} * * *", minute, hour),
natural_description: format!("每天{:02}:{:02}", hour, minute),
confidence: 0.95,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
if let Some(caps) = RE_EVERY_DAY_PERIOD.captures(input) {
let period = caps.get(1)?.as_str();
if let Some(hour) = period_to_hour(period) {
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("0 {} * * *", hour),
natural_description: format!("每天{}", period),
confidence: 0.85,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
}
None
}
fn try_every_week(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let caps = RE_EVERY_WEEK.captures(input)?;
let day_str = caps.get(1)?.as_str();
let dow = weekday_to_cron(day_str)?;
let period = caps.get(2).map(|m| m.as_str());
let raw_hour: u32 = caps.get(3)?.as_str().parse().ok()?;
let minute: u32 = caps.get(4).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} * * {}", minute, hour, dow),
natural_description: format!("每周{} {:02}:{:02}", day_str, hour, minute),
confidence: 0.92,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}))
}
fn try_workday(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
if let Some(caps) = RE_WORKDAY_EXACT.captures(input) {
let period = caps.get(1).map(|m| m.as_str());
let raw_hour: u32 = caps.get(2)?.as_str().parse().ok()?;
let minute: u32 = caps.get(3).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} * * 1-5", minute, hour),
natural_description: format!("工作日{:02}:{:02}", hour, minute),
confidence: 0.90,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
if let Some(caps) = RE_WORKDAY_PERIOD.captures(input) {
let period = caps.get(1)?.as_str();
if let Some(hour) = period_to_hour(period) {
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("0 {} * * 1-5", hour),
natural_description: format!("工作日{}", period),
confidence: 0.85,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
}
None
}
fn try_interval(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
if let Some(caps) = RE_INTERVAL.captures(input) {
let n: u32 = caps.get(1)?.as_str().parse().ok()?;
if n == 0 {
return None;
}
let unit = caps.get(2)?.as_str();
let (cron, desc) = if unit.contains("") {
(format!("0 */{} * * *", n), format!("{}小时", n))
} else {
(format!("*/{} * * * *", n), format!("{}分钟", n))
};
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: cron,
natural_description: desc,
confidence: 0.90,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
None
}
fn try_monthly(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
if let Some(caps) = RE_MONTHLY.captures(input) {
let day: u32 = caps.get(1)?.as_str().parse().ok()?;
let period = caps.get(2).map(|m| m.as_str());
let raw_hour: u32 = caps.get(3).map(|m| m.as_str().parse().unwrap_or(9)).unwrap_or(9);
let minute: u32 = caps.get(4).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if day > 31 || hour > 23 || minute > 59 {
return None;
}
return Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: format!("{} {} {} * *", minute, hour, day),
natural_description: format!("每月{}号 {:02}:{:02}", day, hour, minute),
confidence: 0.90,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}));
}
None
}
fn try_one_shot(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
let caps = RE_ONE_SHOT.captures(input)?;
let day_offset = match caps.get(1)?.as_str() {
"明天" => 1,
"后天" => 2,
"大后天" => 3,
_ => return None,
};
let period = caps.get(2).map(|m| m.as_str());
let raw_hour: u32 = caps.get(3)?.as_str().parse().ok()?;
let minute: u32 = caps.get(4).map(|m| m.as_str().parse().unwrap_or(0)).unwrap_or(0);
let hour = adjust_hour_for_period(raw_hour, period);
if hour > 23 || minute > 59 {
return None;
}
let target = chrono::Utc::now()
.checked_add_signed(chrono::Duration::days(day_offset))
.unwrap_or_else(chrono::Utc::now)
.with_hour(hour)
.unwrap_or_else(|| chrono::Utc::now())
.with_minute(minute)
.unwrap_or_else(|| chrono::Utc::now())
.with_second(0)
.unwrap_or_else(|| chrono::Utc::now());
Some(ScheduleParseResult::Exact(ParsedSchedule {
cron_expression: target.to_rfc3339(),
natural_description: format!("{} {:02}:{:02}", caps.get(1)?.as_str(), hour, minute),
confidence: 0.88,
task_description: task_desc.to_string(),
task_target: TaskTarget::Agent(agent_id.to_string()),
}))
}
// ---------------------------------------------------------------------------
// Schedule intent detection
// ---------------------------------------------------------------------------
/// Keywords indicating the user wants to set a scheduled task.
const SCHEDULE_INTENT_KEYWORDS: &[&str] = &[
"提醒我", "提醒", "定时", "每天", "每日", "每周", "每月",
"工作日", "每隔", "", "定期", "到时候", "准时",
"闹钟", "闹铃", "日程", "日历",
];
/// Check if user input contains schedule intent.
pub fn has_schedule_intent(input: &str) -> bool {
let lower = input.to_lowercase();
SCHEDULE_INTENT_KEYWORDS.iter().any(|kw| lower.contains(kw))
}
// ---------------------------------------------------------------------------
// Tests
// ---------------------------------------------------------------------------
#[cfg(test)]
mod tests {
use super::*;
fn default_agent() -> AgentId {
AgentId::new()
}
#[test]
fn test_every_day_explicit_time() {
let result = parse_nl_schedule("每天早上9点提醒我查房", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 9 * * *");
assert!(s.confidence >= 0.9);
}
_ => panic!("Expected Exact, got {:?}", result),
}
}
#[test]
fn test_every_day_with_minute() {
let result = parse_nl_schedule("每天下午3点30分提醒我", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "30 15 * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_every_day_period_only() {
let result = parse_nl_schedule("每天早上提醒我看看报告", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 9 * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_every_week_monday() {
let result = parse_nl_schedule("每周一上午10点提醒我开会", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 10 * * 1");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_every_week_friday() {
let result = parse_nl_schedule("每个星期五下午2点", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 14 * * 5");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_workday() {
let result = parse_nl_schedule("工作日下午3点提醒我写周报", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 15 * * 1-5");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_interval_hours() {
let result = parse_nl_schedule("每2小时提醒我喝水", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 */2 * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_interval_minutes() {
let result = parse_nl_schedule("每30分钟检查一次", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "*/30 * * * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_monthly() {
let result = parse_nl_schedule("每月1号早上9点提醒我", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert_eq!(s.cron_expression, "0 9 1 * *");
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_one_shot_tomorrow() {
let result = parse_nl_schedule("明天下午3点提醒我开会", &default_agent());
match result {
ScheduleParseResult::Exact(s) => {
assert!(s.cron_expression.contains('T'));
assert!(s.natural_description.contains("明天"));
}
_ => panic!("Expected Exact"),
}
}
#[test]
fn test_unclear_input() {
let result = parse_nl_schedule("今天天气怎么样", &default_agent());
assert!(matches!(result, ScheduleParseResult::Unclear));
}
#[test]
fn test_empty_input() {
let result = parse_nl_schedule("", &default_agent());
assert!(matches!(result, ScheduleParseResult::Unclear));
}
#[test]
fn test_schedule_intent_detection() {
assert!(has_schedule_intent("每天早上9点提醒我查房"));
assert!(has_schedule_intent("帮我设个定时任务"));
assert!(has_schedule_intent("工作日提醒我打卡"));
assert!(!has_schedule_intent("今天天气怎么样"));
assert!(!has_schedule_intent("帮我写个报告"));
}
#[test]
fn test_period_to_hour_mapping() {
assert_eq!(period_to_hour("凌晨"), Some(0));
assert_eq!(period_to_hour("早上"), Some(9));
assert_eq!(period_to_hour("中午"), Some(12));
assert_eq!(period_to_hour("下午"), Some(15));
assert_eq!(period_to_hour("晚上"), Some(21));
assert_eq!(period_to_hour("不知道"), None);
}
#[test]
fn test_weekday_to_cron_mapping() {
assert_eq!(weekday_to_cron(""), Some("1"));
assert_eq!(weekday_to_cron(""), Some("5"));
assert_eq!(weekday_to_cron(""), Some("0"));
assert_eq!(weekday_to_cron("星期三"), Some("3"));
assert_eq!(weekday_to_cron("礼拜天"), Some("0"));
assert_eq!(weekday_to_cron("未知"), None);
}
#[test]
fn test_task_description_extraction() {
assert_eq!(extract_task_description("每天早上9点提醒我查房"), "查房");
}
}

View File

@@ -9,6 +9,7 @@ mod skill_load;
mod path_validator;
mod task;
mod ask_clarification;
pub mod mcp_tool;
pub use file_read::FileReadTool;
pub use file_write::FileWriteTool;
@@ -19,6 +20,7 @@ pub use skill_load::SkillLoadTool;
pub use path_validator::{PathValidator, PathValidatorConfig};
pub use task::TaskTool;
pub use ask_clarification::AskClarificationTool;
pub use mcp_tool::McpToolWrapper;
use crate::tool::ToolRegistry;

View File

@@ -0,0 +1,48 @@
//! MCP Tool Wrapper — bridges MCP server tools into the ToolRegistry
//!
//! Wraps `McpToolAdapter` (from zclaw-protocols) as a `Tool` trait object
//! so the LLM can discover and call MCP tools during conversations.
use async_trait::async_trait;
use serde_json::Value;
use std::sync::Arc;
use zclaw_types::Result;
use crate::tool::{Tool, ToolContext};
/// Wraps an MCP tool adapter into the `Tool` trait.
///
/// The wrapper holds an `Arc<McpToolAdapter>` and delegates execution
/// to the adapter, ignoring the `ToolContext` (MCP tools don't need
/// agent_id, workspace, etc.).
pub struct McpToolWrapper {
adapter: Arc<zclaw_protocols::McpToolAdapter>,
/// Cached qualified name (service.tool) for Tool::name()
qualified_name: String,
}
impl McpToolWrapper {
pub fn new(adapter: Arc<zclaw_protocols::McpToolAdapter>) -> Self {
let qualified_name = adapter.qualified_name();
Self { adapter, qualified_name }
}
}
#[async_trait]
impl Tool for McpToolWrapper {
fn name(&self) -> &str {
&self.qualified_name
}
fn description(&self) -> &str {
self.adapter.description()
}
fn input_schema(&self) -> Value {
self.adapter.input_schema().clone()
}
async fn execute(&self, input: Value, _context: &ToolContext) -> Result<Value> {
self.adapter.execute(input).await
}
}

View File

@@ -53,5 +53,11 @@ bytes = { workspace = true }
async-stream = { workspace = true }
genpdf = "0.2"
# Document processing
pdf-extract = { workspace = true }
calamine = { workspace = true }
quick-xml = { workspace = true }
zip = { workspace = true }
[dev-dependencies]
tempfile = { workspace = true }

View File

@@ -1,3 +1,7 @@
-- NOTE: DEPRECATED — These tables are defined but NOT consumed by any Rust code.
-- Kept for schema compatibility. Will be removed in a future cleanup pass.
-- See: V13 audit FIX-04
-- Webhook subscriptions: external endpoints that receive event notifications
CREATE TABLE IF NOT EXISTS webhook_subscriptions (
id TEXT PRIMARY KEY,
@@ -26,3 +30,10 @@ CREATE TABLE IF NOT EXISTS webhook_deliveries (
CREATE INDEX IF NOT EXISTS idx_webhook_subscriptions_account ON webhook_subscriptions(account_id);
CREATE INDEX IF NOT EXISTS idx_webhook_subscriptions_events ON webhook_subscriptions USING gin(events);
CREATE INDEX IF NOT EXISTS idx_webhook_deliveries_pending ON webhook_deliveries(subscription_id) WHERE delivered_at IS NULL;
-- === DOWN MIGRATION ===
-- DROP INDEX IF EXISTS idx_webhook_deliveries_pending;
-- DROP INDEX IF EXISTS idx_webhook_subscriptions_events;
-- DROP INDEX IF EXISTS idx_webhook_subscriptions_account;
-- DROP TABLE IF EXISTS webhook_deliveries;
-- DROP TABLE IF EXISTS webhook_subscriptions;

View File

@@ -0,0 +1,3 @@
-- 20260411000001_accounts_llm_routing_default_relay.sql
-- 新用户默认走 SaaS relay (Token Pool), 符合管家式服务理念
ALTER TABLE accounts ALTER COLUMN llm_routing SET DEFAULT 'relay';

View File

@@ -0,0 +1,34 @@
-- 行业配置表
CREATE TABLE IF NOT EXISTS industries (
id TEXT PRIMARY KEY, -- "healthcare" | "education" | "garment" | "ecommerce"
name TEXT NOT NULL, -- "医疗行政"
icon TEXT NOT NULL DEFAULT '', -- emoji 或图标标识
description TEXT NOT NULL DEFAULT '', -- 行业描述
keywords JSONB NOT NULL DEFAULT '[]', -- 行业关键词列表
system_prompt TEXT NOT NULL DEFAULT '', -- 行业 system prompt 片段
cold_start_template TEXT NOT NULL DEFAULT '', -- 冷启动问候模板
pain_seed_categories JSONB NOT NULL DEFAULT '[]', -- 痛点种子类别
skill_priorities JSONB NOT NULL DEFAULT '[]', -- 技能推荐优先级
status TEXT NOT NULL DEFAULT 'active', -- "active" | "disabled"
source TEXT NOT NULL DEFAULT 'builtin', -- "builtin" | "admin"
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW()
);
-- 用户-行业关联表(多对多)
CREATE TABLE IF NOT EXISTS account_industries (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
account_id TEXT NOT NULL REFERENCES accounts(id) ON DELETE CASCADE,
industry_id TEXT NOT NULL REFERENCES industries(id) ON DELETE CASCADE,
is_primary BOOLEAN NOT NULL DEFAULT false,
custom_config JSONB, -- Admin 可覆盖的配置
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
updated_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
CONSTRAINT uq_account_industry UNIQUE (account_id, industry_id)
);
-- 索引
CREATE INDEX IF NOT EXISTS idx_account_industries_account ON account_industries(account_id);
CREATE INDEX IF NOT EXISTS idx_account_industries_industry ON account_industries(industry_id);
CREATE INDEX IF NOT EXISTS idx_industries_status ON industries(status);
CREATE INDEX IF NOT EXISTS idx_industries_source ON industries(source);

View File

@@ -0,0 +1,77 @@
-- Phase A: 知识库可见性隔离 + 结构化数据源
-- 1. knowledge_items 增加 visibility + account_id (公共/私有隔离)
-- 2. 新建 structured_sources (Excel/CSV 数据源元数据)
-- 3. 新建 structured_rows (行级 JSONB 存储)
-- ============================================================
-- 1. knowledge_items 可见性扩展
-- ============================================================
ALTER TABLE knowledge_items
ADD COLUMN IF NOT EXISTS visibility VARCHAR(20) DEFAULT 'public'
CHECK (visibility IN ('public', 'private'));
ALTER TABLE knowledge_items
ADD COLUMN IF NOT EXISTS account_id TEXT REFERENCES accounts(id);
-- NULL account_id + public = Admin 上传的公共知识
-- 有 account_id + private = 用户私有知识
CREATE INDEX IF NOT EXISTS idx_ki_visibility
ON knowledge_items(visibility, account_id)
WHERE visibility = 'private';
-- ============================================================
-- 2. 结构化数据源 (Excel / CSV)
-- ============================================================
CREATE TABLE IF NOT EXISTS structured_sources (
id TEXT PRIMARY KEY,
account_id TEXT REFERENCES accounts(id), -- NULL=公共 (Admin上传)
title VARCHAR(255) NOT NULL, -- "2026春季面料目录"
description TEXT,
original_file_name VARCHAR(500),
sheet_names TEXT[] DEFAULT '{}', -- 工作表名称列表
row_count INT DEFAULT 0,
column_headers TEXT[] DEFAULT '{}', -- 合并所有列头 (用于搜索发现)
visibility VARCHAR(20) DEFAULT 'public'
CHECK (visibility IN ('public', 'private')),
industry_id TEXT, -- 关联行业 (可选)
status VARCHAR(20) DEFAULT 'active'
CHECK (status IN ('active', 'archived')),
created_by TEXT NOT NULL REFERENCES accounts(id),
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_ss_visibility
ON structured_sources(visibility, account_id)
WHERE visibility = 'private';
CREATE INDEX IF NOT EXISTS idx_ss_industry
ON structured_sources(industry_id)
WHERE industry_id IS NOT NULL;
-- ============================================================
-- 3. 结构化数据行 (Excel 每行一条)
-- ============================================================
CREATE TABLE IF NOT EXISTS structured_rows (
id TEXT PRIMARY KEY,
source_id TEXT NOT NULL REFERENCES structured_sources(id) ON DELETE CASCADE,
sheet_name VARCHAR(255), -- 工作表名称
row_index INT NOT NULL, -- 行号
headers TEXT[] NOT NULL, -- 列头 ["型号","面料","克重","价格"]
row_data JSONB NOT NULL, -- {"型号":"A100","面料":"纯棉","克重":200,"价格":45}
created_at TIMESTAMPTZ DEFAULT NOW()
);
-- JSONB GIN 索引: 支持对 row_data 任意字段精确查询
CREATE INDEX IF NOT EXISTS idx_sr_data
ON structured_rows USING GIN(row_data jsonb_path_ops);
CREATE INDEX IF NOT EXISTS idx_sr_source
ON structured_rows(source_id);
CREATE UNIQUE INDEX IF NOT EXISTS idx_sr_source_row
ON structured_rows(source_id, sheet_name, row_index);

View File

@@ -0,0 +1,2 @@
DROP TABLE IF EXISTS account_industries;
DROP TABLE IF EXISTS industries;

View File

@@ -0,0 +1,7 @@
-- Down migration: 知识库可见性隔离 + 结构化数据源
DROP TABLE IF EXISTS structured_rows;
DROP TABLE IF EXISTS structured_sources;
ALTER TABLE knowledge_items DROP COLUMN IF EXISTS visibility;
ALTER TABLE knowledge_items DROP COLUMN IF EXISTS account_id;

View File

@@ -193,9 +193,9 @@ pub async fn dashboard_stats(
.and_utc();
let today_row: DashboardTodayRow = sqlx::query_as(
"SELECT
(SELECT COUNT(*) FROM relay_tasks WHERE created_at >= $1 AND created_at < $2) as tasks_today,
COALESCE((SELECT SUM(input_tokens) FROM usage_records WHERE created_at >= $1 AND created_at < $2), 0) as tokens_input,
COALESCE((SELECT SUM(output_tokens) FROM usage_records WHERE created_at >= $1 AND created_at < $2), 0) as tokens_output"
(SELECT COUNT(*) FROM relay_tasks WHERE created_at::timestamptz >= $1 AND created_at::timestamptz < $2) as tasks_today,
COALESCE((SELECT SUM(input_tokens) FROM usage_records WHERE created_at::timestamptz >= $1 AND created_at::timestamptz < $2), 0)::bigint as tokens_input,
COALESCE((SELECT SUM(output_tokens) FROM usage_records WHERE created_at::timestamptz >= $1 AND created_at::timestamptz < $2), 0)::bigint as tokens_output"
).bind(&today_start).bind(&tomorrow_start).fetch_one(&state.db).await?;
Ok(Json(serde_json::json!({
@@ -283,6 +283,11 @@ pub async fn device_heartbeat(
.and_then(|v| v.as_str())
.ok_or_else(|| SaasError::InvalidInput("缺少 device_id".into()))?;
// Validate device_id length (must match register endpoint constraints)
if device_id.is_empty() || device_id.len() > 64 {
return Err(SaasError::InvalidInput("device_id 长度必须在 1-64 个字符之间".into()));
}
let now = chrono::Utc::now();
// Also update platform/app_version if provided (supports client upgrades)

View File

@@ -120,7 +120,7 @@ pub async fn register(
sqlx::query(
"INSERT INTO accounts (id, username, email, password_hash, display_name, role, status, created_at, updated_at, llm_routing)
VALUES ($1, $2, $3, $4, $5, $6, 'active', $7, $7, 'local')"
VALUES ($1, $2, $3, $4, $5, $6, 'active', $7, $7, 'relay')"
)
.bind(&account_id)
.bind(&req.username)
@@ -176,7 +176,7 @@ pub async fn register(
status: "active".into(),
totp_enabled: false,
created_at: now.to_rfc3339(),
llm_routing: "local".into(),
llm_routing: "relay".into(),
},
};
let jar = set_auth_cookies(jar, &resp.token, &refresh_token);
@@ -208,13 +208,17 @@ pub async fn login(
return Err(SaasError::Forbidden(format!("账号已{},请联系管理员", r.status)));
}
// M2: 检查账号是否被临时锁定
if let Some(ref locked_until_str) = r.locked_until {
if let Ok(locked_time) = chrono::DateTime::parse_from_rfc3339(locked_until_str) {
if chrono::Utc::now() < locked_time.with_timezone(&chrono::Utc) {
return Err(SaasError::AuthError("账号已被临时锁定,请稍后再试".into()));
}
}
// M2: 检查账号是否被临时锁定 (直接在 SQL 层比较,避免时区解析问题)
let is_locked: bool = sqlx::query_scalar(
"SELECT locked_until IS NOT NULL AND locked_until > NOW() FROM accounts WHERE id = $1"
)
.bind(&r.id)
.fetch_one(&state.db)
.await
.unwrap_or(false);
if is_locked {
return Err(SaasError::AuthError("账号已被临时锁定,请稍后再试".into()));
}
if !verify_password_async(req.password.clone(), r.password_hash.clone()).await? {
@@ -327,7 +331,7 @@ pub async fn refresh(
// 3. 从 DB 查找 refresh token确保未被使用
let row: Option<(String,)> = sqlx::query_as(
"SELECT account_id FROM refresh_tokens WHERE jti = $1 AND used_at IS NULL AND expires_at > $2"
"SELECT account_id FROM refresh_tokens WHERE jti = $1 AND used_at IS NULL AND expires_at::timestamptz > $2"
)
.bind(jti)
.bind(&chrono::Utc::now())
@@ -563,7 +567,7 @@ async fn cleanup_expired_refresh_tokens(db: &sqlx::PgPool) -> SaasResult<()> {
let now = chrono::Utc::now();
// 删除过期超过 30 天的已使用 token (减少 DB 膨胀)
sqlx::query(
"DELETE FROM refresh_tokens WHERE (used_at IS NOT NULL AND used_at < $1) OR (expires_at < $1)"
"DELETE FROM refresh_tokens WHERE (used_at IS NOT NULL AND used_at::timestamptz < $1) OR (expires_at::timestamptz < $1)"
)
.bind(&now)
.execute(db).await?;
@@ -580,33 +584,49 @@ fn sha256_hex(input: &str) -> String {
pub async fn logout(
State(state): State<AppState>,
jar: CookieJar,
Json(req): Json<super::types::LogoutRequest>,
) -> (CookieJar, axum::http::StatusCode) {
// 尝试从 cookie 中获取 refresh token 并撤销
if let Some(refresh_cookie) = jar.get(REFRESH_TOKEN_COOKIE) {
let token = refresh_cookie.value();
if let Ok(claims) = verify_token_skip_expiry(token, state.jwt_secret.expose_secret()) {
if claims.token_type == "refresh" {
if let Some(jti) = claims.jti {
let now = chrono::Utc::now();
// 标记 refresh token 为已使用(等效于撤销/黑名单)
let result = sqlx::query(
"UPDATE refresh_tokens SET used_at = $1 WHERE jti = $2 AND used_at IS NULL"
)
.bind(&now).bind(&jti)
.execute(&state.db)
.await;
let jwt_secret = state.jwt_secret.expose_secret();
match result {
Ok(r) => {
if r.rows_affected() > 0 {
tracing::info!(account_id = %claims.sub, jti = %jti, "Refresh token revoked on logout");
}
}
Err(e) => {
tracing::warn!(jti = %jti, error = %e, "Failed to revoke refresh token on logout");
}
// 收集所有可用的 refresh token 来源
let mut tokens_to_check: Vec<String> = Vec::new();
// 来源 1: 请求 body 中的 refresh_token
if let Some(ref token) = req.refresh_token {
tokens_to_check.push(token.clone());
}
// 来源 2: cookie 中的 refresh_token
if let Some(refresh_cookie) = jar.get(REFRESH_TOKEN_COOKIE) {
let cookie_val = refresh_cookie.value().to_string();
if !tokens_to_check.contains(&cookie_val) {
tokens_to_check.push(cookie_val);
}
}
// 从任意有效的 refresh token 提取 account_id然后撤销该账户所有 token
for token in &tokens_to_check {
if let Ok(claims) = verify_token_skip_expiry(token, jwt_secret) {
if claims.token_type == "refresh" {
let now = chrono::Utc::now();
// 撤销该账户的所有 refresh token (不仅是当前的)
let result = sqlx::query(
"UPDATE refresh_tokens SET used_at = $1 WHERE account_id = $2 AND used_at IS NULL"
)
.bind(&now)
.bind(&claims.sub)
.execute(&state.db)
.await;
match result {
Ok(r) => {
tracing::info!(account_id = %claims.sub, n = r.rows_affected(), "All refresh tokens revoked on logout");
}
Err(e) => {
tracing::warn!(account_id = %claims.sub, error = %e, "Failed to revoke refresh tokens");
}
}
break; // 一次成功即可
}
}
}

View File

@@ -62,3 +62,9 @@ pub struct AuthContext {
pub struct RefreshRequest {
pub refresh_token: String,
}
/// 登出请求 (refresh_token 可选,不传则仅清除 cookie)
#[derive(Debug, Deserialize)]
pub struct LogoutRequest {
pub refresh_token: Option<String>,
}

View File

@@ -7,6 +7,7 @@ use axum::{
use serde::Deserialize;
use crate::auth::types::AuthContext;
use crate::auth::handlers::{log_operation, check_permission};
use crate::error::{SaasError, SaasResult};
use crate::state::AppState;
use super::service;
@@ -39,9 +40,23 @@ pub async fn get_subscription(
let sub = service::get_active_subscription(&state.db, &ctx.account_id).await?;
let usage = service::get_or_create_usage(&state.db, &ctx.account_id).await?;
// P2-14 修复: super_admin 无订阅时合成一个 "active" subscription
let sub_value = if sub.is_none() && ctx.role == "super_admin" {
Some(serde_json::json!({
"id": format!("sub-admin-{}", &ctx.account_id.chars().take(8).collect::<String>()),
"account_id": ctx.account_id,
"plan_id": plan.id,
"status": "active",
"current_period_start": usage.period_start,
"current_period_end": usage.period_end,
}))
} else {
sub.map(|s| serde_json::to_value(s).unwrap_or_default())
};
Ok(Json(serde_json::json!({
"plan": plan,
"subscription": sub,
"subscription": sub_value,
"usage": usage,
})))
}
@@ -101,6 +116,41 @@ pub async fn increment_usage_dimension(
})))
}
/// POST /api/v1/billing/payments — 创建支付订单
/// PUT /api/v1/admin/accounts/:id/subscription — 管理员切换用户订阅计划(仅 super_admin
pub async fn admin_switch_subscription(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Path(account_id): Path<String>,
Json(req): Json<AdminSwitchPlanRequest>,
) -> SaasResult<Json<serde_json::Value>> {
// 仅 super_admin 可操作
check_permission(&ctx, "admin:full")?;
// 验证 plan_id 非空
if req.plan_id.trim().is_empty() {
return Err(SaasError::InvalidInput("plan_id 不能为空".into()));
}
let sub = service::admin_switch_plan(&state.db, &account_id, &req.plan_id).await?;
log_operation(
&state.db,
&ctx.account_id,
"billing.admin_switch_plan",
"account",
&account_id,
Some(serde_json::json!({ "plan_id": req.plan_id })),
None,
).await.ok(); // 日志失败不影响主流程
Ok(Json(serde_json::json!({
"success": true,
"subscription": sub,
})))
}
/// POST /api/v1/billing/payments — 创建支付订单
pub async fn create_payment(
State(state): State<AppState>,

View File

@@ -6,7 +6,7 @@ pub mod handlers;
pub mod payment;
pub mod invoice_pdf;
use axum::routing::{get, post};
use axum::routing::{get, post, put};
/// 全部计费路由(用于 main.rs 一次性挂载)
pub fn routes() -> axum::Router<crate::state::AppState> {
@@ -51,3 +51,9 @@ pub fn mock_routes() -> axum::Router<crate::state::AppState> {
.route("/api/v1/billing/mock-pay", get(handlers::mock_pay_page))
.route("/api/v1/billing/mock-pay/confirm", post(handlers::mock_pay_confirm))
}
/// 管理员计费路由(需 super_admin 权限)
pub fn admin_routes() -> axum::Router<crate::state::AppState> {
axum::Router::new()
.route("/api/v1/admin/accounts/:id/subscription", put(handlers::admin_switch_subscription))
}

View File

@@ -114,7 +114,26 @@ pub async fn get_or_create_usage(pool: &PgPool, account_id: &str) -> SaasResult<
.await?;
if let Some(usage) = existing {
return Ok(usage);
// P1-07 修复: 同步当前计划限额到 max_* 列(防止计划变更后数据不一致)
let plan = get_account_plan(pool, account_id).await?;
let limits: PlanLimits = serde_json::from_value(plan.limits.clone())
.unwrap_or_else(|_| PlanLimits::free());
sqlx::query(
"UPDATE billing_usage_quotas SET max_input_tokens=$2, max_output_tokens=$3, \
max_relay_requests=$4, max_hand_executions=$5, max_pipeline_runs=$6, updated_at=NOW() \
WHERE id=$1"
)
.bind(&usage.id)
.bind(limits.max_input_tokens_monthly)
.bind(limits.max_output_tokens_monthly)
.bind(limits.max_relay_requests_monthly)
.bind(limits.max_hand_executions_monthly)
.bind(limits.max_pipeline_runs_monthly)
.execute(pool).await?;
let updated = sqlx::query_as::<_, UsageQuota>(
"SELECT * FROM billing_usage_quotas WHERE id = $1"
).bind(&usage.id).fetch_one(pool).await?;
return Ok(updated);
}
// 获取当前计划限额
@@ -281,20 +300,119 @@ pub async fn increment_dimension_by(
Ok(())
}
/// 管理员切换用户订阅计划(仅 super_admin 调用)
///
/// 1. 验证目标 plan_id 存在且 active
/// 2. 取消用户当前 active 订阅
/// 3. 创建新订阅status=active, 30 天周期)
/// 4. 更新当月 usage quota 的 max_* 列
pub async fn admin_switch_plan(
pool: &PgPool,
account_id: &str,
target_plan_id: &str,
) -> SaasResult<Subscription> {
// 1. 验证目标计划存在且 active
let plan = get_plan(pool, target_plan_id).await?
.ok_or_else(|| crate::error::SaasError::NotFound("目标计划不存在或已下架".into()))?;
// 2. 检查是否已订阅该计划
if let Some(current_sub) = get_active_subscription(pool, account_id).await? {
if current_sub.plan_id == target_plan_id {
return Err(crate::error::SaasError::InvalidInput("用户已订阅该计划".into()));
}
}
let mut tx = pool.begin().await
.map_err(|e| crate::error::SaasError::Internal(format!("开启事务失败: {}", e)))?;
let now = chrono::Utc::now();
// 3. 取消当前活跃订阅
sqlx::query(
"UPDATE billing_subscriptions SET status = 'canceled', canceled_at = $1, updated_at = $1 \
WHERE account_id = $2 AND status IN ('trial', 'active', 'past_due')"
)
.bind(&now)
.bind(account_id)
.execute(&mut *tx)
.await?;
// 4. 创建新订阅
let sub_id = uuid::Uuid::new_v4().to_string();
let period_start = now;
let period_end = now + chrono::Duration::days(30);
sqlx::query(
"INSERT INTO billing_subscriptions \
(id, account_id, plan_id, status, current_period_start, current_period_end, created_at, updated_at) \
VALUES ($1, $2, $3, 'active', $4, $5, $6, $6)"
)
.bind(&sub_id)
.bind(account_id)
.bind(&target_plan_id)
.bind(&period_start)
.bind(&period_end)
.bind(&now)
.execute(&mut *tx)
.await?;
// 5. 同步当月 usage quota 的 max_* 列
let limits: PlanLimits = serde_json::from_value(plan.limits.clone())
.unwrap_or_else(|_| PlanLimits::free());
sqlx::query(
"UPDATE billing_usage_quotas SET max_input_tokens=$1, max_output_tokens=$2, \
max_relay_requests=$3, max_hand_executions=$4, max_pipeline_runs=$5, updated_at=NOW() \
WHERE account_id=$6 AND period_start = DATE_TRUNC('month', NOW())"
)
.bind(limits.max_input_tokens_monthly)
.bind(limits.max_output_tokens_monthly)
.bind(limits.max_relay_requests_monthly)
.bind(limits.max_hand_executions_monthly)
.bind(limits.max_pipeline_runs_monthly)
.bind(account_id)
.execute(&mut *tx)
.await?;
tx.commit().await
.map_err(|e| crate::error::SaasError::Internal(format!("事务提交失败: {}", e)))?;
// 查询返回新订阅
let sub = sqlx::query_as::<_, Subscription>(
"SELECT * FROM billing_subscriptions WHERE id = $1"
)
.bind(&sub_id)
.fetch_one(pool)
.await?;
Ok(sub)
}
/// 检查用量配额
///
/// P1-7 修复: 从当前 Plan 读取限额(而非 stale 的 usage 表冗余列)
/// P1-8 修复: 支持 relay_requests + input_tokens 双维度检查
pub async fn check_quota(
pool: &PgPool,
account_id: &str,
role: &str,
quota_type: &str,
) -> SaasResult<QuotaCheck> {
// P2-14 修复: super_admin 不受配额限制
if role == "super_admin" {
return Ok(QuotaCheck { allowed: true, reason: None, current: 0, limit: None, remaining: None });
}
let usage = get_or_create_usage(pool, account_id).await?;
// 从当前 Plan 读取真实限额,而非 usage 表的 stale 冗余列
let plan = get_account_plan(pool, account_id).await?;
let limits: crate::billing::types::PlanLimits = serde_json::from_value(plan.limits)
.unwrap_or_else(|_| crate::billing::types::PlanLimits::free());
let (current, limit) = match quota_type {
"input_tokens" => (usage.input_tokens, usage.max_input_tokens),
"output_tokens" => (usage.output_tokens, usage.max_output_tokens),
"relay_requests" => (usage.relay_requests as i64, usage.max_relay_requests.map(|v| v as i64)),
"hand_executions" => (usage.hand_executions as i64, usage.max_hand_executions.map(|v| v as i64)),
"pipeline_runs" => (usage.pipeline_runs as i64, usage.max_pipeline_runs.map(|v| v as i64)),
"input_tokens" => (usage.input_tokens, limits.max_input_tokens_monthly),
"output_tokens" => (usage.output_tokens, limits.max_output_tokens_monthly),
"relay_requests" => (usage.relay_requests as i64, limits.max_relay_requests_monthly.map(|v| v as i64)),
"hand_executions" => (usage.hand_executions as i64, limits.max_hand_executions_monthly.map(|v| v as i64)),
"pipeline_runs" => (usage.pipeline_runs as i64, limits.max_pipeline_runs_monthly.map(|v| v as i64)),
_ => return Ok(QuotaCheck {
allowed: true,
reason: None,
@@ -309,7 +427,7 @@ pub async fn check_quota(
Ok(QuotaCheck {
allowed,
reason: if !allowed { Some(format!("{} 配额已用尽", quota_type)) } else { None },
reason: if !allowed { Some(format!("{} 配额已用尽 (已用 {}/{})", quota_type, current, limit.unwrap_or(0))) } else { None },
current,
limit,
remaining,

View File

@@ -159,3 +159,9 @@ pub struct PaymentResult {
pub pay_url: String,
pub amount_cents: i32,
}
/// 管理员切换计划请求
#[derive(Debug, Deserialize)]
pub struct AdminSwitchPlanRequest {
pub plan_id: String,
}

View File

@@ -21,6 +21,8 @@ pub struct CachedModel {
pub supports_streaming: bool,
pub supports_vision: bool,
pub enabled: bool,
pub is_embedding: bool,
pub model_type: String,
pub pricing_input: f64,
pub pricing_output: f64,
}
@@ -111,15 +113,15 @@ impl AppCache {
self.providers.retain(|k, _| provider_keys.contains(k));
// Load models (key = model_id for relay lookup) — insert-then-retain
let model_rows: Vec<(String, String, String, String, i64, i64, bool, bool, bool, f64, f64)> = sqlx::query_as(
let model_rows: Vec<(String, String, String, String, i64, i64, bool, bool, bool, bool, String, f64, f64)> = sqlx::query_as(
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens,
supports_streaming, supports_vision, enabled, pricing_input, pricing_output
supports_streaming, supports_vision, enabled, is_embedding, model_type, pricing_input, pricing_output
FROM models"
).fetch_all(db).await?;
let model_keys: HashSet<String> = model_rows.iter().map(|(_, _, mid, ..)| mid.clone()).collect();
for (id, provider_id, model_id, alias, context_window, max_output_tokens,
supports_streaming, supports_vision, enabled, pricing_input, pricing_output) in &model_rows
supports_streaming, supports_vision, enabled, is_embedding, model_type, pricing_input, pricing_output) in &model_rows
{
self.models.insert(model_id.clone(), CachedModel {
id: id.clone(),
@@ -131,6 +133,8 @@ impl AppCache {
supports_streaming: *supports_streaming,
supports_vision: *supports_vision,
enabled: *enabled,
is_embedding: *is_embedding,
model_type: model_type.clone(),
pricing_input: *pricing_input,
pricing_output: *pricing_output,
});
@@ -244,6 +248,37 @@ impl AppCache {
.map(|r| r.value().clone())
}
/// 按别名查找模型 — 用于向后兼容旧模型 ID (如 "glm-4-flash" → "glm-4-flash-250414")
/// 先按 alias 字段精确匹配,再按 model_id 前缀匹配(去掉日期后缀)
pub fn resolve_model(&self, model_name: &str) -> Option<CachedModel> {
// 1. 直接 model_id 查找
if let Some(m) = self.get_model(model_name) {
return Some(m);
}
// 2. 按 alias 精确匹配
for entry in self.models.iter() {
if entry.value().enabled && entry.value().alias == model_name {
return Some(entry.value().clone());
}
}
// 3. 前缀匹配: "glm-4-flash" 匹配 "glm-4-flash-250414" 等带后缀的模型
for entry in self.models.iter() {
let mid = &entry.value().model_id;
if entry.value().enabled
&& (mid.starts_with(&format!("{}-", model_name))
|| mid.starts_with(&format!("{}v", model_name)))
{
tracing::info!(
"Model alias resolved: {} → {}",
model_name,
mid
);
return Some(entry.value().clone());
}
}
None
}
/// 按 provider id 查找已启用的 Provider。O(1) DashMap 查找。
pub fn get_provider(&self, provider_id: &str) -> Option<CachedProvider> {
self.providers.get(provider_id)

View File

@@ -465,22 +465,25 @@ impl SaaSConfig {
/// 替换 TOML 配置文件中的 `${ENV_VAR}` 模式为环境变量值
/// 未设置的环境变量保留原文,后续数据库连接或 JWT 初始化时会报明确错误
///
/// 注意: 使用 chars() 迭代器而非 bytes() 来正确处理多字节 UTF-8 字符(如中文),
/// 避免将多字节 UTF-8 序列的每个字节单独 `as char` 导致编码损坏。
fn interpolate_env_vars(content: &str) -> String {
let mut result = String::with_capacity(content.len());
let bytes = content.as_bytes();
let chars: Vec<char> = content.chars().collect();
let mut i = 0;
while i < bytes.len() {
if i + 1 < bytes.len() && bytes[i] == b'$' && bytes[i + 1] == b'{' {
while i < chars.len() {
if i + 1 < chars.len() && chars[i] == '$' && chars[i + 1] == '{' {
let start = i + 2;
let mut end = start;
while end < bytes.len()
&& (bytes[end].is_ascii_alphanumeric() || bytes[end] == b'_')
while end < chars.len()
&& (chars[end].is_ascii_alphanumeric() || chars[end] == '_')
{
end += 1;
}
if end < bytes.len() && bytes[end] == b'}' {
let var_name = std::str::from_utf8(&bytes[start..end]).unwrap_or("");
match std::env::var(var_name) {
if end < chars.len() && chars[end] == '}' {
let var_name: String = chars[start..end].iter().collect();
match std::env::var(&var_name) {
Ok(val) => {
tracing::debug!("Config: ${{{}}} → resolved ({} bytes)", var_name, val.len());
result.push_str(&val);
@@ -492,11 +495,11 @@ fn interpolate_env_vars(content: &str) -> String {
}
i = end + 1;
} else {
result.push(bytes[i] as char);
result.push(chars[i]);
i += 1;
}
} else {
result.push(bytes[i] as char);
result.push(chars[i]);
i += 1;
}
}

View File

@@ -5,7 +5,7 @@ use sqlx::PgPool;
use crate::config::DatabaseConfig;
use crate::error::SaasResult;
const SCHEMA_VERSION: i32 = 14;
const SCHEMA_VERSION: i32 = 15;
/// 初始化数据库
pub async fn init_db(config: &DatabaseConfig) -> SaasResult<PgPool> {
@@ -38,10 +38,26 @@ pub async fn init_db(config: &DatabaseConfig) -> SaasResult<PgPool> {
.connect(&database_url)
.await?;
// 验证数据库编码为 UTF8 — 中文 Windows (GBK/代码页936) 可能导致默认非 UTF8
let encoding: (String,) = sqlx::query_as("SHOW server_encoding")
.fetch_one(&pool)
.await
.unwrap_or(("UNKNOWN".to_string(),));
if encoding.0.to_uppercase() != "UTF8" {
tracing::error!(
"⚠ 数据库编码为 '{}',非 UTF8中文数据将损坏。请使用 CREATE DATABASE ... WITH ENCODING='UTF8' 重建数据库。",
encoding.0
);
} else {
tracing::info!("Database encoding: {}", encoding.0);
}
run_migrations(&pool).await?;
ensure_security_columns(&pool).await?;
seed_admin_account(&pool).await?;
seed_builtin_prompts(&pool).await?;
seed_knowledge_categories(&pool).await?;
seed_builtin_industries(&pool).await?;
seed_demo_data(&pool).await?;
fix_seed_data(&pool).await?;
tracing::info!("Database initialized (schema v{})", SCHEMA_VERSION);
@@ -726,7 +742,7 @@ async fn seed_demo_data(pool: &PgPool) -> SaasResult<()> {
let id = format!("cfg-{}-{}", cat, key);
sqlx::query(
"INSERT INTO config_items (id, category, key_path, value_type, current_value, default_value, source, description, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, 'local', $7, $8, $8) ON CONFLICT (id) DO NOTHING"
VALUES ($1, $2, $3, $4, $5, $6, 'local', $7, $8, $8) ON CONFLICT (category, key_path) DO NOTHING"
).bind(&id).bind(cat).bind(key).bind(vtype).bind(current).bind(default).bind(desc).bind(&ts)
.execute(pool).await?;
}
@@ -838,6 +854,7 @@ async fn fix_seed_data(pool: &PgPool) -> SaasResult<()> {
let admin_ids: Vec<String> = admins.into_iter().map(|(id,)| id).collect();
// 2. 更新 config_items 分类名(旧 → 新)
// 先删除目标 (category, key_path) 已存在的旧 category 行,避免唯一约束冲突
let category_mappings = [
("server", "general"),
("llm", "model"),
@@ -846,6 +863,13 @@ async fn fix_seed_data(pool: &PgPool) -> SaasResult<()> {
("security", "rate_limit"),
];
for (old_cat, new_cat) in &category_mappings {
// 删除旧 category 中与目标 category key_path 冲突的行
sqlx::query(
"DELETE FROM config_items WHERE category = $1 AND key_path IN \
(SELECT key_path FROM config_items WHERE category = $2)"
).bind(old_cat).bind(new_cat)
.execute(pool).await?;
let result = sqlx::query(
"UPDATE config_items SET category = $1, updated_at = $2 WHERE category = $3"
).bind(new_cat).bind(&now).bind(old_cat)
@@ -873,7 +897,7 @@ async fn fix_seed_data(pool: &PgPool) -> SaasResult<()> {
let id = format!("cfg-{}-{}", cat, key);
sqlx::query(
"INSERT INTO config_items (id, category, key_path, value_type, current_value, default_value, source, description, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, 'local', $7, $8, $8) ON CONFLICT (id) DO NOTHING"
VALUES ($1, $2, $3, $4, $5, $6, 'local', $7, $8, $8) ON CONFLICT (category, key_path) DO NOTHING"
).bind(&id).bind(cat).bind(key).bind(vtype).bind(current).bind(default).bind(desc).bind(&now)
.execute(pool).await?;
}
@@ -998,6 +1022,36 @@ async fn ensure_security_columns(pool: &PgPool) -> SaasResult<()> {
Ok(())
}
/// 种子化内置行业配置
async fn seed_builtin_industries(pool: &PgPool) -> SaasResult<()> {
crate::industry::service::seed_builtin_industries(pool).await
}
/// 种子化知识库默认分类(幂等)
async fn seed_knowledge_categories(pool: &PgPool) -> SaasResult<()> {
let now = chrono::Utc::now();
let categories = [
("seed", "种子知识", "系统内置的行业基础知识"),
("uploaded", "上传文档", "用户上传的文档知识"),
("distillation", "蒸馏知识", "API 蒸馏生成的知识"),
];
for (id, name, desc) in &categories {
sqlx::query(
"INSERT INTO knowledge_categories (id, name, description, created_at, updated_at) \
VALUES ($1, $2, $3, $4, $4) \
ON CONFLICT (id) DO NOTHING"
)
.bind(id)
.bind(name)
.bind(desc)
.bind(&now)
.execute(pool)
.await?;
}
tracing::debug!("Seeded knowledge categories");
Ok(())
}
#[cfg(test)]
mod tests {
// PostgreSQL 单元测试需要真实数据库连接,此处保留接口兼容

View File

@@ -127,11 +127,15 @@ impl IntoResponse for SaasError {
fn into_response(self) -> Response {
let status = self.status_code();
let (error_code, message) = match &self {
// 500 错误不泄露内部细节给客户端
// 500 错误不泄露内部细节给客户端 (开发模式除外)
Self::Database(_) | Self::Internal(_) | Self::Io(_)
| Self::Jwt(_) | Self::Config(_) => {
tracing::error!("内部错误 [{}]: {}", self.error_code(), self);
(self.error_code().to_string(), "服务内部错误".to_string())
if std::env::var("ZCLAW_SAAS_DEV").as_deref() == Ok("true") {
(self.error_code().to_string(), format!("[DEV] {}", self))
} else {
(self.error_code().to_string(), "服务内部错误".to_string())
}
}
_ => (self.error_code().to_string(), self.to_string()),
};

View File

@@ -0,0 +1,128 @@
//! 四行业内置配置
//!
//! 作为数据库 seed首次启动时通过 migration 自动插入 `source = "builtin"`。
/// 内置行业配置定义
pub struct BuiltinIndustryDef {
pub id: &'static str,
pub name: &'static str,
pub icon: &'static str,
pub description: &'static str,
pub keywords: &'static [&'static str],
pub system_prompt: &'static str,
pub cold_start_template: &'static str,
pub pain_seed_categories: &'static [&'static str],
pub skill_priorities: &'static [(&'static str, i32)],
}
/// 获取所有内置行业配置
pub fn builtin_industries() -> Vec<BuiltinIndustryDef> {
vec![
BuiltinIndustryDef {
id: "healthcare",
name: "医疗行政",
icon: "🏥",
description: "医院行政管理、科室排班、医保、病历管理",
keywords: &[
"医院", "科室", "排班", "护理", "门诊", "住院", "病历", "医嘱",
"药品", "处方", "检查", "手术", "出院", "入院", "急诊", "住院部",
"报告", "会诊", "转科", "转院", "床位数", "占用率",
"医疗", "患者", "医保", "挂号", "收费", "报销", "临床",
"值班", "交接班", "查房", "医技", "检验", "影像",
"院感", "质控", "病案", "门诊量", "手术量", "药占比",
],
system_prompt: "您是一位医疗行政管理助手。请注意使用医疗行业术语,回答要专业准确。涉及患者隐私的信息要严格保密。在提供数据报告时优先使用表格形式。",
cold_start_template: "您好!我是您的医疗行政管家。我可以帮您处理排班管理、数据报表、政策查询、会议协调等工作。有什么需要我帮忙的吗?",
pain_seed_categories: &[
"排班冲突", "数据报表耗时", "医保政策频繁变化",
"病历质控", "科室协调", "库存管理", "院感防控",
],
skill_priorities: &[
("data_report", 10),
("meeting_notes", 9),
("schedule_query", 8),
("policy_search", 7),
],
},
BuiltinIndustryDef {
id: "education",
name: "教育培训",
icon: "🎓",
description: "课程管理、学生评估、教务、培训",
keywords: &[
"课程", "学生", "评估", "教务", "培训", "教学", "考试",
"成绩", "班级", "学期", "教学计划", "教案", "课件",
"作业", "答疑", "辅导", "招生", "毕业", "学分",
"教师", "讲师", "课堂", "实验", "实习", "论文",
"学籍", "选课", "排课", "成绩单", "GPA", "教研",
"德育", "校务", "家校", "班主任",
],
system_prompt: "您是一位教育培训管理助手。熟悉教务流程、课程设计和学生评估方法。回答要注重教学法和学习效果。",
cold_start_template: "您好!我是您的教育培训助手。我可以帮您处理课程安排、成绩分析、教学计划、培训方案等工作。有什么需要我帮忙的吗?",
pain_seed_categories: &[
"排课冲突", "成绩统计繁琐", "教学资源不足",
"学生差异化管理", "家校沟通", "培训效果评估",
],
skill_priorities: &[
("data_report", 10),
("schedule_query", 9),
("content_writing", 8),
("meeting_notes", 7),
],
},
BuiltinIndustryDef {
id: "garment",
name: "制衣制造",
icon: "🏭",
description: "面料管理、打版、裁床、供应链",
keywords: &[
"面料", "打版", "裁床", "缝纫", "供应链", "订单", "样衣",
"尺码", "工艺", "质检", "包装", "出货", "库存",
"布料", "纱线", "织造", "染整", "印花", "绣花",
"辅料", "拉链", "纽扣", "里布", "衬布",
"生产线", "产能", "工时", "成本", "报价",
"采购", "交期", "验收", "返工", "损耗率", "排料",
],
system_prompt: "您是一位制衣制造管理助手。熟悉面料特性、生产流程和供应链管理。回答要务实,注重成本和效率。",
cold_start_template: "您好!我是您的制衣制造管家。我可以帮您处理订单跟踪、面料管理、生产排期、成本核算等工作。有什么需要我帮忙的吗?",
pain_seed_categories: &[
"交期延误", "面料损耗", "尺码管理",
"产能不足", "质检不合格", "成本超支", "供应链中断",
],
skill_priorities: &[
("data_report", 10),
("schedule_query", 9),
("inventory_mgmt", 8),
("order_tracking", 7),
],
},
BuiltinIndustryDef {
id: "ecommerce",
name: "电商零售",
icon: "🛒",
description: "库存管理、促销、客服、物流、品类运营",
keywords: &[
"库存", "促销", "客服", "物流", "品类", "订单", "发货",
"退货", "评价", "店铺", "商品", "SKU", "SPU",
"转化率", "客单价", "复购率", "GMV", "流量", "点击率",
"直通车", "钻展", "直播", "短视频", "种草", "达人",
"仓储", "拣货", "打包", "快递", "配送", "签收",
"售后", "退款", "换货", "投诉", "差评",
"选品", "定价", "毛利", "成本", "竞品",
"玩具", "食品", "服装", "美妆", "家居",
],
system_prompt: "您是一位电商零售管理助手。熟悉平台运营、库存管理、物流配送和客户服务。回答要注重数据驱动和ROI。",
cold_start_template: "您好!我是您的电商零售管家。我可以帮您处理库存预警、销售分析、促销方案、物流跟踪等工作。有什么需要我帮忙的吗?",
pain_seed_categories: &[
"库存积压", "转化率低", "退货率高",
"物流延迟", "客服压力大", "选品困难", "价格战",
],
skill_priorities: &[
("data_report", 10),
("inventory_mgmt", 9),
("order_tracking", 8),
("content_writing", 7),
],
},
]
}

View File

@@ -0,0 +1,111 @@
//! 行业配置 API handlers
use axum::extract::{Path, Query, State};
use axum::Extension;
use axum::Json;
use crate::error::SaasResult;
use crate::state::AppState;
use crate::auth::types::AuthContext;
use super::types::*;
use super::service;
/// GET /api/v1/industries — 行业列表(公开,已认证用户可访问)
pub async fn list_industries(
State(state): State<AppState>,
Query(query): Query<ListIndustriesQuery>,
) -> SaasResult<Json<crate::common::PaginatedResponse<IndustryListItem>>> {
let result = service::list_industries(&state.db, &query).await?;
Ok(Json(result))
}
/// GET /api/v1/industries/:id — 行业详情(公开)
pub async fn get_industry(
State(state): State<AppState>,
Path(id): Path<String>,
) -> SaasResult<Json<Industry>> {
let industry = service::get_industry(&state.db, &id).await?;
Ok(Json(industry))
}
/// POST /api/v1/industries — 创建行业 (admin: config:write)
pub async fn create_industry(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Json(body): Json<CreateIndustryRequest>,
) -> SaasResult<Json<Industry>> {
require_config_write(&ctx)?;
let industry = service::create_industry(&state.db, &body).await?;
Ok(Json(industry))
}
/// PATCH /api/v1/industries/:id — 更新行业 (admin: config:write)
pub async fn update_industry(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Path(id): Path<String>,
Json(body): Json<UpdateIndustryRequest>,
) -> SaasResult<Json<Industry>> {
require_config_write(&ctx)?;
let industry = service::update_industry(&state.db, &id, &body).await?;
Ok(Json(industry))
}
/// GET /api/v1/industries/:id/full-config — 完整配置含关键词、prompt等
pub async fn get_industry_full_config(
State(state): State<AppState>,
Path(id): Path<String>,
) -> SaasResult<Json<IndustryFullConfig>> {
let config = service::get_industry_full_config(&state.db, &id).await?;
Ok(Json(config))
}
/// GET /api/v1/accounts/:id/industries — 用户授权行业列表
pub async fn list_account_industries(
State(state): State<AppState>,
Path(account_id): Path<String>,
) -> SaasResult<Json<Vec<AccountIndustryItem>>> {
let items = service::list_account_industries(&state.db, &account_id).await?;
Ok(Json(items))
}
/// PUT /api/v1/accounts/:id/industries — 设置用户行业 (admin: account:admin)
pub async fn set_account_industries(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Path(account_id): Path<String>,
Json(body): Json<SetAccountIndustriesRequest>,
) -> SaasResult<Json<Vec<AccountIndustryItem>>> {
require_account_admin(&ctx)?;
let items = service::set_account_industries(&state.db, &account_id, &body).await?;
Ok(Json(items))
}
/// GET /api/v1/accounts/me/industries — 当前用户行业
pub async fn list_my_industries(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
) -> SaasResult<Json<Vec<AccountIndustryItem>>> {
let account_id = &ctx.account_id;
let items = service::list_account_industries(&state.db, account_id).await?;
Ok(Json(items))
}
// ============ Helpers ============
fn require_config_write(ctx: &AuthContext) -> SaasResult<()> {
if !ctx.permissions.contains(&"config:write".to_string())
&& !ctx.permissions.contains(&"admin:full".to_string())
{
return Err(crate::error::SaasError::Forbidden("需要 config:write 权限".to_string()));
}
Ok(())
}
fn require_account_admin(ctx: &AuthContext) -> SaasResult<()> {
if !ctx.permissions.contains(&"account:admin".to_string())
&& !ctx.permissions.contains(&"admin:full".to_string())
{
return Err(crate::error::SaasError::Forbidden("需要 account:admin 权限".to_string()));
}
Ok(())
}

View File

@@ -0,0 +1,25 @@
//! 行业配置模块
//!
//! 提供行业定义、关键词、system prompt、痛点种子等配置管理。
//! 支持内置行业builtin和 Admin 自定义行业。
pub mod types;
pub mod builtin;
pub mod service;
pub mod handlers;
use axum::routing::{get, patch, post, put};
pub fn routes() -> axum::Router<crate::state::AppState> {
axum::Router::new()
// 公开路由(已认证用户)
.route("/api/v1/industries", get(handlers::list_industries))
.route("/api/v1/industries/:id", get(handlers::get_industry))
.route("/api/v1/industries/:id/full-config", get(handlers::get_industry_full_config))
.route("/api/v1/accounts/me/industries", get(handlers::list_my_industries))
.route("/api/v1/accounts/:id/industries", get(handlers::list_account_industries))
// Admin 路由
.route("/api/v1/industries", post(handlers::create_industry))
.route("/api/v1/industries/:id", patch(handlers::update_industry))
.route("/api/v1/accounts/:id/industries", put(handlers::set_account_industries))
}

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//! 行业配置业务逻辑层
use sqlx::PgPool;
use crate::error::{SaasError, SaasResult};
use crate::common::{normalize_pagination, PaginatedResponse};
use super::types::*;
use super::builtin::builtin_industries;
// ============ 行业 CRUD ============
/// 列表查询(参数化查询,无 SQL 注入风险)
pub async fn list_industries(
pool: &PgPool,
query: &ListIndustriesQuery,
) -> SaasResult<PaginatedResponse<IndustryListItem>> {
let (page, page_size, offset) = normalize_pagination(query.page, query.page_size);
let status_param: Option<String> = query.status.clone();
let source_param: Option<String> = query.source.clone();
// 构建 WHERE 条件 — 每个查询独立的参数编号
let mut where_parts: Vec<String> = vec!["1=1".to_string()];
// count 查询:参数从 $1 开始
let mut count_params: Vec<String> = Vec::new();
let mut count_idx = 1;
if status_param.is_some() {
count_params.push(format!("status = ${}", count_idx));
count_idx += 1;
}
if source_param.is_some() {
count_params.push(format!("source = ${}", count_idx));
count_idx += 1;
}
let count_where = if count_params.is_empty() {
"1=1".to_string()
} else {
format!("1=1 AND {}", count_params.join(" AND "))
};
// items 查询:$1=LIMIT, $2=OFFSET, $3+=filters
let mut items_params: Vec<String> = Vec::new();
let mut items_idx = 3;
if status_param.is_some() {
items_params.push(format!("status = ${}", items_idx));
items_idx += 1;
}
if source_param.is_some() {
items_params.push(format!("source = ${}", items_idx));
items_idx += 1;
}
let items_where = if items_params.is_empty() {
"1=1".to_string()
} else {
format!("1=1 AND {}", items_params.join(" AND "))
};
// count 查询
let count_sql = format!("SELECT COUNT(*) FROM industries WHERE {}", count_where);
let mut count_q = sqlx::query_scalar::<_, i64>(&count_sql);
if let Some(ref s) = status_param { count_q = count_q.bind(s); }
if let Some(ref s) = source_param { count_q = count_q.bind(s); }
let total = count_q.fetch_one(pool).await?;
// items 查询
let items_sql = format!(
"SELECT id, name, icon, description, status, source, \
COALESCE(jsonb_array_length(keywords), 0) as keywords_count, \
created_at, updated_at \
FROM industries WHERE {} ORDER BY source, id LIMIT $1 OFFSET $2",
items_where
);
let mut items_q = sqlx::query_as::<_, IndustryListItem>(&items_sql)
.bind(page_size as i64)
.bind(offset);
if let Some(ref s) = status_param { items_q = items_q.bind(s); }
if let Some(ref s) = source_param { items_q = items_q.bind(s); }
let items = items_q.fetch_all(pool).await?;
Ok(PaginatedResponse { items, total, page, page_size })
}
/// 获取行业详情
pub async fn get_industry(pool: &PgPool, id: &str) -> SaasResult<Industry> {
let industry: Option<Industry> = sqlx::query_as(
"SELECT * FROM industries WHERE id = $1"
)
.bind(id)
.fetch_optional(pool)
.await?;
industry.ok_or_else(|| SaasError::NotFound(format!("行业 {} 不存在", id)))
}
/// 创建行业
pub async fn create_industry(
pool: &PgPool,
req: &CreateIndustryRequest,
) -> SaasResult<Industry> {
// Validate id format: lowercase alphanumeric + hyphen, 1-63 chars
let id = req.id.trim();
if id.is_empty() || id.len() > 63 {
return Err(SaasError::InvalidInput("行业 ID 长度须 1-63 字符".to_string()));
}
if !id.chars().all(|c| c.is_ascii_lowercase() || c.is_ascii_digit() || c == '-') {
return Err(SaasError::InvalidInput("行业 ID 仅限小写字母、数字、连字符".to_string()));
}
let now = chrono::Utc::now();
let keywords = serde_json::to_value(&req.keywords).unwrap_or(serde_json::json!([]));
let pain_categories = serde_json::to_value(&req.pain_seed_categories).unwrap_or(serde_json::json!([]));
let skill_priorities = serde_json::to_value(&req.skill_priorities).unwrap_or(serde_json::json!([]));
sqlx::query(
r#"INSERT INTO industries (id, name, icon, description, keywords, system_prompt, cold_start_template, pain_seed_categories, skill_priorities, status, source, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, 'active', 'admin', $10, $10)"#
)
.bind(&req.id).bind(&req.name).bind(&req.icon).bind(&req.description)
.bind(&keywords).bind(&req.system_prompt).bind(&req.cold_start_template)
.bind(&pain_categories).bind(&skill_priorities).bind(&now)
.execute(pool).await
.map_err(|e| SaasError::from_sqlx_unique(e, "行业"))?;
get_industry(pool, &req.id).await
}
/// 更新行业
pub async fn update_industry(
pool: &PgPool,
id: &str,
req: &UpdateIndustryRequest,
) -> SaasResult<Industry> {
// Validate status enum
if let Some(ref status) = req.status {
match status.as_str() {
"active" | "inactive" => {},
_ => return Err(SaasError::InvalidInput(format!("无效状态 '{}', 允许: active/inactive", status))),
}
}
// 先确认存在
let existing = get_industry(pool, id).await?;
let now = chrono::Utc::now();
let name = req.name.as_deref().unwrap_or(&existing.name);
let icon = req.icon.as_deref().unwrap_or(&existing.icon);
let description = req.description.as_deref().unwrap_or(&existing.description);
let status = req.status.as_deref().unwrap_or(&existing.status);
let system_prompt = req.system_prompt.as_deref().unwrap_or(&existing.system_prompt);
let cold_start = req.cold_start_template.as_deref().unwrap_or(&existing.cold_start_template);
let keywords = req.keywords.as_ref()
.map(|k| serde_json::to_value(k).unwrap_or(serde_json::json!([])))
.unwrap_or(existing.keywords.clone());
let pain_cats = req.pain_seed_categories.as_ref()
.map(|c| serde_json::to_value(c).unwrap_or(serde_json::json!([])))
.unwrap_or(existing.pain_seed_categories.clone());
let skill_prios = req.skill_priorities.as_ref()
.map(|s| serde_json::to_value(s).unwrap_or(serde_json::json!([])))
.unwrap_or(existing.skill_priorities.clone());
sqlx::query(
r#"UPDATE industries SET name=$1, icon=$2, description=$3, keywords=$4,
system_prompt=$5, cold_start_template=$6, pain_seed_categories=$7,
skill_priorities=$8, status=$9, updated_at=$10 WHERE id=$11"#
)
.bind(name).bind(icon).bind(description).bind(&keywords)
.bind(system_prompt).bind(cold_start).bind(&pain_cats)
.bind(&skill_prios).bind(status).bind(&now).bind(id)
.execute(pool).await?;
get_industry(pool, id).await
}
/// 获取行业完整配置
pub async fn get_industry_full_config(pool: &PgPool, id: &str) -> SaasResult<IndustryFullConfig> {
let industry = get_industry(pool, id).await?;
let keywords: Vec<String> = serde_json::from_value(industry.keywords.clone())
.unwrap_or_default();
let pain_categories: Vec<String> = serde_json::from_value(industry.pain_seed_categories.clone())
.unwrap_or_default();
let skill_priorities: Vec<SkillPriority> = serde_json::from_value(industry.skill_priorities.clone())
.unwrap_or_default();
Ok(IndustryFullConfig {
id: industry.id,
name: industry.name,
icon: industry.icon,
description: industry.description,
keywords,
system_prompt: industry.system_prompt,
cold_start_template: industry.cold_start_template,
pain_seed_categories: pain_categories,
skill_priorities,
status: industry.status,
source: industry.source,
created_at: industry.created_at,
updated_at: industry.updated_at,
})
}
// ============ 用户-行业关联 ============
/// 获取用户授权行业列表
pub async fn list_account_industries(
pool: &PgPool,
account_id: &str,
) -> SaasResult<Vec<AccountIndustryItem>> {
let items: Vec<AccountIndustryItem> = sqlx::query_as(
r#"SELECT ai.industry_id, ai.is_primary, i.name as industry_name, i.icon as industry_icon
FROM account_industries ai
JOIN industries i ON i.id = ai.industry_id
WHERE ai.account_id = $1 AND i.status = 'active'
ORDER BY ai.is_primary DESC, ai.industry_id"#
)
.bind(account_id)
.fetch_all(pool)
.await?;
Ok(items)
}
/// 设置用户行业(全量替换,事务性)
pub async fn set_account_industries(
pool: &PgPool,
account_id: &str,
req: &SetAccountIndustriesRequest,
) -> SaasResult<Vec<AccountIndustryItem>> {
let now = chrono::Utc::now();
let ids: Vec<&str> = req.industries.iter().map(|e| e.industry_id.as_str()).collect();
// 事务:验证 + DELETE + INSERT 原子执行,消除 TOCTOU
let mut tx = pool.begin().await.map_err(SaasError::Database)?;
// 验证:所有行业必须存在且启用
let valid_count: (i64,) = sqlx::query_as(
"SELECT COUNT(*) FROM industries WHERE id = ANY($1) AND status = 'active'"
)
.bind(&ids)
.fetch_one(&mut *tx)
.await
.map_err(SaasError::Database)?;
if valid_count.0 != ids.len() as i64 {
tx.rollback().await.ok();
return Err(SaasError::InvalidInput("部分行业不存在或已禁用".to_string()));
}
sqlx::query("DELETE FROM account_industries WHERE account_id = $1")
.bind(account_id)
.execute(&mut *tx)
.await?;
for entry in &req.industries {
sqlx::query(
r#"INSERT INTO account_industries (account_id, industry_id, is_primary, created_at, updated_at)
VALUES ($1, $2, $3, $4, $4)"#
)
.bind(account_id)
.bind(&entry.industry_id)
.bind(entry.is_primary)
.bind(&now)
.execute(&mut *tx)
.await?;
}
tx.commit().await.map_err(SaasError::Database)?;
list_account_industries(pool, account_id).await
}
// ============ Seed ============
/// 插入内置行业配置(幂等 ON CONFLICT DO NOTHING
pub async fn seed_builtin_industries(pool: &PgPool) -> SaasResult<()> {
let now = chrono::Utc::now();
for def in builtin_industries() {
let keywords = serde_json::to_value(def.keywords).unwrap_or(serde_json::json!([]));
let pain_cats = serde_json::to_value(def.pain_seed_categories).unwrap_or(serde_json::json!([]));
let skill_prios: Vec<serde_json::Value> = def.skill_priorities.iter()
.map(|(skill_id, priority)| serde_json::json!({"skill_id": skill_id, "priority": priority}))
.collect();
let skill_prios = serde_json::Value::Array(skill_prios);
sqlx::query(
r#"INSERT INTO industries (id, name, icon, description, keywords, system_prompt, cold_start_template, pain_seed_categories, skill_priorities, status, source, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, 'active', 'builtin', $10, $10)
ON CONFLICT (id) DO NOTHING"#
)
.bind(def.id).bind(def.name).bind(def.icon).bind(def.description)
.bind(&keywords).bind(def.system_prompt).bind(def.cold_start_template)
.bind(&pain_cats).bind(&skill_prios).bind(&now)
.execute(pool)
.await?;
}
tracing::info!("Seeded {} builtin industries", builtin_industries().len());
Ok(())
}

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//! 行业配置数据类型
use serde::{Deserialize, Serialize};
/// 行业定义
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct Industry {
pub id: String,
pub name: String,
pub icon: String,
pub description: String,
pub keywords: serde_json::Value,
pub system_prompt: String,
pub cold_start_template: String,
pub pain_seed_categories: serde_json::Value,
pub skill_priorities: serde_json::Value,
pub status: String,
pub source: String,
pub created_at: chrono::DateTime<chrono::Utc>,
pub updated_at: chrono::DateTime<chrono::Utc>,
}
/// 行业列表项(简化,含关键词数统计)
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct IndustryListItem {
pub id: String,
pub name: String,
pub icon: String,
pub description: String,
pub status: String,
pub source: String,
pub keywords_count: i32,
pub created_at: chrono::DateTime<chrono::Utc>,
pub updated_at: chrono::DateTime<chrono::Utc>,
}
/// 创建行业请求
#[derive(Debug, Deserialize)]
#[serde(deny_unknown_fields)]
pub struct CreateIndustryRequest {
pub id: String,
pub name: String,
#[serde(default)]
pub icon: String,
#[serde(default)]
pub description: String,
#[serde(default)]
pub keywords: Vec<String>,
#[serde(default)]
pub system_prompt: String,
#[serde(default)]
pub cold_start_template: String,
#[serde(default)]
pub pain_seed_categories: Vec<String>,
#[serde(default)]
pub skill_priorities: Vec<SkillPriority>,
}
/// 更新行业请求
#[derive(Debug, Deserialize)]
#[serde(deny_unknown_fields)]
pub struct UpdateIndustryRequest {
pub name: Option<String>,
pub icon: Option<String>,
pub description: Option<String>,
pub keywords: Option<Vec<String>>,
pub system_prompt: Option<String>,
pub cold_start_template: Option<String>,
pub pain_seed_categories: Option<Vec<String>>,
pub skill_priorities: Option<Vec<SkillPriority>>,
pub status: Option<String>,
}
/// 技能优先级
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SkillPriority {
pub skill_id: String,
pub priority: i32,
}
/// 用户-行业关联
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct AccountIndustry {
pub id: String,
pub account_id: String,
pub industry_id: String,
pub is_primary: bool,
pub custom_config: Option<serde_json::Value>,
pub created_at: chrono::DateTime<chrono::Utc>,
pub updated_at: chrono::DateTime<chrono::Utc>,
}
/// 用户行业列表项
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct AccountIndustryItem {
pub industry_id: String,
pub is_primary: bool,
pub industry_name: String,
pub industry_icon: String,
}
/// 设置用户行业请求
#[derive(Debug, Deserialize)]
#[serde(deny_unknown_fields)]
pub struct SetAccountIndustriesRequest {
pub industries: Vec<AccountIndustryEntry>,
}
/// 用户行业条目
#[derive(Debug, Deserialize)]
#[serde(deny_unknown_fields)]
pub struct AccountIndustryEntry {
pub industry_id: String,
#[serde(default)]
pub is_primary: bool,
}
/// 行业完整配置含关键词、prompt 等详情)
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct IndustryFullConfig {
pub id: String,
pub name: String,
pub icon: String,
pub description: String,
pub keywords: Vec<String>,
pub system_prompt: String,
pub cold_start_template: String,
pub pain_seed_categories: Vec<String>,
pub skill_priorities: Vec<SkillPriority>,
pub status: String,
pub source: String,
pub created_at: chrono::DateTime<chrono::Utc>,
pub updated_at: chrono::DateTime<chrono::Utc>,
}
/// 列表查询参数
#[derive(Debug, Deserialize)]
#[serde(deny_unknown_fields)]
pub struct ListIndustriesQuery {
pub page: Option<u32>,
pub page_size: Option<u32>,
pub status: Option<String>,
pub source: Option<String>,
}

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//! 文档处理管线 — PDF/DOCX/Excel 格式提取
//!
//! 核心思想:每种格式输出统一的 NormalizedDocument后面复用现有管线。
//! Excel 走独立的结构化通道JSONB 行级存储),不走 RAG。
use calamine::{Reader, Data, Range};
// === 规范化文档 — 所有格式的统一中间表示 ===
/// 文档提取结果(用于 RAG 通道)
pub struct NormalizedDocument {
pub title: String,
pub sections: Vec<DocumentSection>,
pub metadata: DocumentMetadata,
}
pub struct DocumentSection {
pub heading: Option<String>,
pub content: String,
pub level: u8,
pub page_number: Option<u32>,
}
pub struct DocumentMetadata {
pub source_format: String,
pub file_name: String,
pub total_pages: Option<u32>,
pub total_sections: u32,
}
// === 格式路由 ===
/// 根据文件扩展名判断处理通道
pub fn detect_format(file_name: &str) -> Option<DocumentFormat> {
let ext = file_name.rsplit('.').next().unwrap_or("").to_lowercase();
match ext.as_str() {
"pdf" => Some(DocumentFormat::Pdf),
"docx" | "doc" => Some(DocumentFormat::Docx),
"xlsx" | "xls" => Some(DocumentFormat::Excel),
"md" | "txt" | "markdown" => Some(DocumentFormat::Markdown),
"csv" => Some(DocumentFormat::Csv),
_ => None,
}
}
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum DocumentFormat {
Pdf,
Docx,
Excel,
Csv,
Markdown,
}
impl DocumentFormat {
pub fn is_structured(&self) -> bool {
matches!(self, Self::Excel | Self::Csv)
}
}
// === 文件处理结果 ===
pub enum ProcessedFile {
/// 文档通道RAG— PDF/DOCX/Markdown
Document(NormalizedDocument),
/// 结构化通道 — Excel/CSV 行数据
Structured {
title: String,
sheet_names: Vec<String>,
column_headers: Vec<String>,
rows: Vec<(Option<String>, i32, Vec<String>, serde_json::Value)>,
},
}
// === 提取错误 ===
#[derive(Debug)]
pub struct ExtractError(pub String);
impl std::fmt::Display for ExtractError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "{}", self.0)
}
}
impl std::error::Error for ExtractError {}
impl From<ExtractError> for crate::error::SaasError {
fn from(e: ExtractError) -> Self {
crate::error::SaasError::InvalidInput(e.0)
}
}
// === PDF 提取 ===
pub fn extract_pdf(data: &[u8], file_name: &str) -> Result<NormalizedDocument, ExtractError> {
let text = pdf_extract::extract_text_from_mem(data)
.map_err(|e| ExtractError(format!("PDF 提取失败: {}", e)))?;
let pages: Vec<&str> = text.split('\x0c').collect();
let page_count = pages.len() as u32;
let mut sections = Vec::new();
let mut current_content = String::new();
for (i, page) in pages.iter().enumerate() {
let page_text = page.trim();
if page_text.is_empty() {
continue;
}
current_content.push_str(page_text);
current_content.push('\n');
if current_content.len() > 2000 || i == pages.len() - 1 {
let content = current_content.trim().to_string();
if !content.is_empty() {
sections.push(DocumentSection {
heading: Some(format!("{}", i + 1)),
content,
level: 2,
page_number: Some((i + 1) as u32),
});
}
current_content.clear();
}
}
let title = extract_title(file_name, ".pdf");
let total_sections = sections.len() as u32;
Ok(NormalizedDocument {
title,
sections,
metadata: DocumentMetadata {
source_format: "pdf".to_string(),
file_name: file_name.to_string(),
total_pages: Some(page_count),
total_sections,
},
})
}
// === DOCX 提取 ===
pub fn extract_docx(data: &[u8], file_name: &str) -> Result<NormalizedDocument, ExtractError> {
let reader = std::io::Cursor::new(data);
let mut archive = zip::ZipArchive::new(reader)
.map_err(|e| ExtractError(format!("DOCX 解压失败: {}", e)))?;
let mut doc_xml = archive.by_name("word/document.xml")
.map_err(|e| ExtractError(format!("DOCX 中未找到 document.xml: {}", e)))?;
let mut xml_content = String::new();
use std::io::Read;
doc_xml.read_to_string(&mut xml_content)
.map_err(|e| ExtractError(format!("DOCX 读取失败: {}", e)))?;
let mut sections = Vec::new();
let mut current_heading: Option<String> = None;
let mut current_content = String::new();
// 简单 XML 解析:提取 <w:t> 文本和 <w:pStyle> 标题层级
let mut in_text = false;
let mut paragraph_style = String::new();
let mut text_buf = String::new();
let mut reader = quick_xml::Reader::from_str(&xml_content);
let mut buf = Vec::new();
loop {
match reader.read_event_into(&mut buf) {
Ok(quick_xml::events::Event::Start(e)) => {
let name = String::from_utf8_lossy(e.local_name().as_ref()).to_string();
match name.as_str() {
"p" => paragraph_style.clear(),
"t" => in_text = true,
"pStyle" => {
for attr in e.attributes().flatten() {
if attr.key.local_name().as_ref() == b"val" {
paragraph_style = String::from_utf8_lossy(&attr.value).to_string();
}
}
}
_ => {}
}
}
Ok(quick_xml::events::Event::Text(t)) => {
if in_text {
text_buf.push_str(&t.unescape().unwrap_or_default());
}
}
Ok(quick_xml::events::Event::End(e)) => {
let name = String::from_utf8_lossy(e.local_name().as_ref()).to_string();
match name.as_str() {
"p" => {
let text = text_buf.trim().to_string();
text_buf.clear();
if text.is_empty() { continue; }
let is_heading = paragraph_style.starts_with("Heading")
|| paragraph_style.starts_with("heading")
|| paragraph_style == "Title";
if is_heading {
if !current_content.is_empty() {
sections.push(DocumentSection {
heading: current_heading.take(),
content: current_content.trim().to_string(),
level: 2,
page_number: None,
});
current_content.clear();
}
current_heading = Some(text);
} else {
current_content.push_str(&text);
current_content.push('\n');
}
}
"t" => in_text = false,
_ => {}
}
}
Ok(quick_xml::events::Event::Eof) => break,
Err(e) => {
tracing::warn!("DOCX XML parse warning: {}", e);
break;
}
_ => {}
}
buf.clear();
}
if !current_content.is_empty() {
sections.push(DocumentSection {
heading: current_heading,
content: current_content.trim().to_string(),
level: 2,
page_number: None,
});
}
let title = extract_title(file_name, ".docx");
let total_sections = sections.len() as u32;
Ok(NormalizedDocument {
title,
sections,
metadata: DocumentMetadata {
source_format: "docx".to_string(),
file_name: file_name.to_string(),
total_pages: None,
total_sections,
},
})
}
// === Excel 解析 ===
pub fn extract_excel(data: &[u8], file_name: &str) -> Result<ProcessedFile, ExtractError> {
let cursor = std::io::Cursor::new(data);
let mut workbook: calamine::Xlsx<_> = calamine::open_workbook_from_rs(cursor)
.map_err(|e| ExtractError(format!("Excel 解析失败: {}", e)))?;
let sheet_names = workbook.sheet_names().to_vec();
let mut all_rows: Vec<(Option<String>, i32, Vec<String>, serde_json::Value)> = Vec::new();
let mut all_headers: Vec<String> = Vec::new();
let mut global_row_index = 0i32;
for sheet_name in &sheet_names {
if let Ok(range) = workbook.worksheet_range(sheet_name) {
let mut headers: Vec<String> = Vec::new();
let mut first_row = true;
for row in range_as_data_rows(&range) {
if first_row {
headers = row.iter().map(|cell| {
cell.to_string().trim().to_string()
}).collect();
headers.retain(|h| !h.is_empty());
if headers.is_empty() { first_row = false; continue; }
for h in &headers {
if !all_headers.contains(h) {
all_headers.push(h.clone());
}
}
first_row = false;
continue;
}
let mut row_map = serde_json::Map::new();
for (i, cell) in row.iter().enumerate() {
if i >= headers.len() { break; }
let value = match cell {
Data::Empty => continue,
Data::String(s) => serde_json::Value::String(s.clone()),
Data::Float(f) => serde_json::json!(f),
Data::Int(n) => serde_json::json!(n),
Data::Bool(b) => serde_json::Value::Bool(*b),
Data::DateTime(dt) => {
serde_json::Value::String(dt.to_string())
}
Data::DateTimeIso(s) => {
serde_json::Value::String(s.clone())
}
Data::DurationIso(s) => {
serde_json::Value::String(s.clone())
}
Data::Error(e) => {
serde_json::Value::String(format!("{:?}", e))
}
};
row_map.insert(headers[i].clone(), value);
}
if !row_map.is_empty() {
all_rows.push((
Some(sheet_name.clone()),
global_row_index,
headers.clone(),
serde_json::Value::Object(row_map),
));
global_row_index += 1;
}
}
}
}
let title = extract_title(file_name, ".xlsx");
Ok(ProcessedFile::Structured {
title,
sheet_names,
column_headers: all_headers,
rows: all_rows,
})
}
// === 工具函数 ===
/// 辅助:将 Range<Data> 转为行的 Vec解决 calamine 类型推断问题
fn range_as_data_rows(range: &Range<Data>) -> Vec<Vec<Data>> {
range.rows().map(|row| row.to_vec()).collect()
}
/// 从文件名提取标题
fn extract_title(file_name: &str, ext: &str) -> String {
file_name
.rsplit_once('/')
.or_else(|| file_name.rsplit_once('\\'))
.map(|(_, name)| name)
.unwrap_or(file_name)
.trim_end_matches(ext)
.to_string()
}
/// 将 NormalizedDocument 转为单个 Markdown 内容字符串
pub fn normalized_to_markdown(doc: &NormalizedDocument) -> String {
let mut md = String::new();
for section in &doc.sections {
if let Some(ref heading) = section.heading {
md.push_str(&format!("## {}\n\n", heading));
}
md.push_str(&section.content);
md.push_str("\n\n");
}
md.trim().to_string()
}

View File

@@ -1,7 +1,7 @@
//! 知识库 HTTP 处理器
use axum::{
extract::{Extension, Path, Query, State},
extract::{Extension, Multipart, Path, Query, State},
Json,
};
@@ -10,6 +10,7 @@ use crate::error::{SaasError, SaasResult};
use crate::state::AppState;
use super::service;
use super::types::*;
use super::extractors;
// === 分类管理 ===
@@ -190,7 +191,8 @@ pub async fn create_item(
return Err(SaasError::InvalidInput("内容不能超过 100KB".into()));
}
let item = service::create_item(&state.db, &ctx.account_id, &req).await?;
let is_admin = ctx.role == "admin" || ctx.role == "super_admin";
let item = service::create_item(&state.db, &ctx.account_id, &req, is_admin).await?;
// 异步触发 embedding 生成
if let Err(e) = state.worker_dispatcher.dispatch(
@@ -219,6 +221,7 @@ pub async fn batch_create_items(
return Err(SaasError::InvalidInput("单次批量创建不能超过 50 条".into()));
}
let is_admin = ctx.role == "admin" || ctx.role == "super_admin";
let mut created = Vec::new();
for req in &items {
if req.title.trim().is_empty() || req.content.trim().is_empty() {
@@ -229,7 +232,7 @@ pub async fn batch_create_items(
tracing::warn!("Batch create: skipping item '{}' (content too long)", req.title);
continue;
}
match service::create_item(&state.db, &ctx.account_id, req).await {
match service::create_item(&state.db, &ctx.account_id, req, is_admin).await {
Ok(item) => {
if let Err(e) = state.worker_dispatcher.dispatch(
"generate_embedding",
@@ -371,21 +374,17 @@ pub async fn rollback_version(
// === 检索 ===
/// POST /api/v1/knowledge/search — 语义搜索
/// POST /api/v1/knowledge/search — 统一搜索(双通道:文档 + 结构化)
pub async fn search(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Json(req): Json<SearchRequest>,
) -> SaasResult<Json<Vec<SearchResult>>> {
) -> SaasResult<Json<UnifiedSearchResult>> {
check_permission(&ctx, "knowledge:search")?;
let limit = req.limit.unwrap_or(5).min(10);
let min_score = req.min_score.unwrap_or(0.5);
let results = service::search(
let results = service::unified_search(
&state.db,
&req.query,
req.category_id.as_deref(),
limit,
min_score,
&req,
Some(&ctx.account_id),
).await?;
Ok(Json(results))
}
@@ -395,15 +394,15 @@ pub async fn recommend(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Json(req): Json<SearchRequest>,
) -> SaasResult<Json<Vec<SearchResult>>> {
) -> SaasResult<Json<UnifiedSearchResult>> {
check_permission(&ctx, "knowledge:search")?;
let limit = req.limit.unwrap_or(5).min(10);
let results = service::search(
let mut req = req;
req.min_score = Some(0.3);
req.search_structured = req.search_structured.or(Some(true));
let results = service::unified_search(
&state.db,
&req.query,
req.category_id.as_deref(),
limit,
0.3,
&req,
Some(&ctx.account_id),
).await?;
Ok(Json(results))
}
@@ -534,6 +533,7 @@ pub async fn import_items(
return Err(SaasError::InvalidInput("单次导入不能超过 20 个文件".into()));
}
let is_admin = ctx.role == "admin" || ctx.role == "super_admin";
let mut created = Vec::new();
for file in &req.files {
// 内容长度检查(数据库限制 100KB
@@ -561,9 +561,10 @@ pub async fn import_items(
related_questions: None,
priority: None,
tags: file.tags.clone(),
visibility: None,
};
match service::create_item(&state.db, &ctx.account_id, &item_req).await {
match service::create_item(&state.db, &ctx.account_id, &item_req, is_admin).await {
Ok(item) => {
if let Err(e) = state.worker_dispatcher.dispatch(
"generate_embedding",
@@ -590,3 +591,324 @@ pub async fn import_items(
fn check_permission(ctx: &AuthContext, permission: &str) -> SaasResult<()> {
crate::auth::handlers::check_permission(ctx, permission)
}
fn is_admin(ctx: &AuthContext) -> bool {
ctx.role == "admin" || ctx.role == "super_admin"
}
// === 结构化数据源管理 ===
/// GET /api/v1/structured/sources
pub async fn list_structured_sources(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Query(query): Query<ListStructuredSourcesQuery>,
) -> SaasResult<Json<serde_json::Value>> {
check_permission(&ctx, "knowledge:read")?;
let page = query.page.unwrap_or(1).max(1);
let page_size = query.page_size.unwrap_or(20).max(1).min(100);
let (sources, total) = service::list_structured_sources(
&state.db,
Some(&ctx.account_id),
query.industry_id.as_deref(),
query.status.as_deref(),
page,
page_size,
).await?;
Ok(Json(serde_json::json!({
"items": sources,
"total": total,
"page": page,
"page_size": page_size,
})))
}
/// GET /api/v1/structured/sources/:id
pub async fn get_structured_source(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Path(id): Path<String>,
) -> SaasResult<Json<serde_json::Value>> {
check_permission(&ctx, "knowledge:read")?;
let source = service::get_structured_source(&state.db, &id, Some(&ctx.account_id)).await?
.ok_or_else(|| SaasError::NotFound("数据源不存在".into()))?;
Ok(Json(serde_json::to_value(source).unwrap_or_default()))
}
/// GET /api/v1/structured/sources/:id/rows
pub async fn list_structured_source_rows(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Path(id): Path<String>,
Query(query): Query<ListStructuredRowsQuery>,
) -> SaasResult<Json<serde_json::Value>> {
check_permission(&ctx, "knowledge:read")?;
let page = query.page.unwrap_or(1).max(1);
let page_size = query.page_size.unwrap_or(50).max(1).min(200);
let (rows, total) = service::list_structured_rows(
&state.db, &id, Some(&ctx.account_id),
query.sheet_name.as_deref(), page, page_size,
).await?;
Ok(Json(serde_json::json!({
"rows": rows,
"total": total,
"page": page,
"page_size": page_size,
})))
}
/// DELETE /api/v1/structured/sources/:id
pub async fn delete_structured_source(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Path(id): Path<String>,
) -> SaasResult<Json<serde_json::Value>> {
check_permission(&ctx, "knowledge:admin")?;
service::delete_structured_source(&state.db, &id).await?;
Ok(Json(serde_json::json!({"deleted": true})))
}
/// POST /api/v1/structured/query
pub async fn query_structured(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Json(req): Json<StructuredQueryRequest>,
) -> SaasResult<Json<Vec<StructuredQueryResult>>> {
check_permission(&ctx, "knowledge:search")?;
let results = service::query_structured(&state.db, &req, Some(&ctx.account_id)).await?;
Ok(Json(results))
}
// === 文件上传 ===
/// POST /api/v1/knowledge/upload — multipart 文件上传
///
/// 支持 PDF/DOCX → RAG 管线Excel → 结构化管线
pub async fn upload_file(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
mut multipart: Multipart,
) -> SaasResult<Json<serde_json::Value>> {
check_permission(&ctx, "knowledge:write")?;
let is_admin = ctx.role == "admin" || ctx.role == "super_admin";
let mut results = Vec::new();
while let Some(field) = multipart.next_field().await.map_err(|e| {
SaasError::InvalidInput(format!("文件上传解析失败: {}", e))
})? {
let file_name = field.file_name().unwrap_or("unknown").to_string();
let data = field.bytes().await.map_err(|e| {
SaasError::InvalidInput(format!("文件读取失败: {}", e))
})?;
// 大小限制 20MB
if data.len() > 20 * 1024 * 1024 {
results.push(serde_json::json!({
"file": file_name,
"status": "error",
"error": "文件超过 20MB 限制"
}));
continue;
}
let format = match extractors::detect_format(&file_name) {
Some(f) => f,
None => {
results.push(serde_json::json!({
"file": file_name,
"status": "error",
"error": "不支持的文件格式"
}));
continue;
}
};
if format.is_structured() {
// Excel → 结构化通道
match handle_structured_upload(
&state, &ctx, is_admin, &data, &file_name,
).await {
Ok(result) => results.push(result),
Err(e) => results.push(serde_json::json!({
"file": file_name,
"status": "error",
"error": e.to_string()
})),
}
} else {
// PDF/DOCX/MD → 文档通道 (RAG)
match handle_document_upload(
&state, &ctx, is_admin, &data, &file_name, format,
).await {
Ok(result) => results.push(result),
Err(e) => results.push(serde_json::json!({
"file": file_name,
"status": "error",
"error": e.to_string()
})),
}
}
}
Ok(Json(serde_json::json!({
"results": results,
"count": results.len(),
})))
}
/// 处理文档类上传PDF/DOCX/MD → RAG 管线)
async fn handle_document_upload(
state: &AppState,
ctx: &AuthContext,
is_admin: bool,
data: &[u8],
file_name: &str,
format: extractors::DocumentFormat,
) -> SaasResult<serde_json::Value> {
let doc = match format {
extractors::DocumentFormat::Pdf => extractors::extract_pdf(data, file_name)?,
extractors::DocumentFormat::Docx => extractors::extract_docx(data, file_name)?,
extractors::DocumentFormat::Markdown => {
// Markdown 直通
let text = String::from_utf8_lossy(data).to_string();
let title = file_name.trim_end_matches(".md").trim_end_matches(".txt").to_string();
extractors::NormalizedDocument {
title,
sections: vec![extractors::DocumentSection {
heading: None,
content: text,
level: 1,
page_number: None,
}],
metadata: extractors::DocumentMetadata {
source_format: "markdown".to_string(),
file_name: file_name.to_string(),
total_pages: None,
total_sections: 1,
},
}
}
_ => return Err(SaasError::InvalidInput("不支持的文档格式".into())),
};
// 转为 Markdown 内容
let content = extractors::normalized_to_markdown(&doc);
if content.is_empty() {
return Err(SaasError::InvalidInput("文件内容为空".into()));
}
// 创建知识条目
let item_req = CreateItemRequest {
category_id: "uploaded".to_string(), // TODO: 从上传参数获取
title: doc.title.clone(),
content,
keywords: None,
related_questions: None,
priority: Some(5),
tags: Some(vec![format!("source:{}", doc.metadata.source_format)]),
visibility: None,
};
let item = service::create_item(&state.db, &ctx.account_id, &item_req, is_admin).await?;
// 触发分块
if let Err(e) = state.worker_dispatcher.dispatch(
"generate_embedding",
serde_json::json!({ "item_id": item.id }),
).await {
tracing::warn!("Upload: failed to dispatch embedding for {}: {}", item.id, e);
}
Ok(serde_json::json!({
"file": file_name,
"status": "ok",
"item_id": item.id,
"sections": doc.metadata.total_sections,
"format": doc.metadata.source_format,
}))
}
/// 处理结构化数据上传Excel → structured_rows
async fn handle_structured_upload(
state: &AppState,
ctx: &AuthContext,
is_admin: bool,
data: &[u8],
file_name: &str,
) -> SaasResult<serde_json::Value> {
let processed = extractors::extract_excel(data, file_name)?;
match processed {
extractors::ProcessedFile::Structured { title, sheet_names, column_headers, rows } => {
if rows.is_empty() {
return Err(SaasError::InvalidInput("Excel 文件没有数据行".into()));
}
// 创建结构化数据源
let source_req = CreateStructuredSourceRequest {
title,
description: None,
original_file_name: Some(file_name.to_string()),
sheet_names: Some(sheet_names.clone()),
column_headers: Some(column_headers.clone()),
visibility: None,
industry_id: None,
};
let source = service::create_structured_source(
&state.db, &ctx.account_id, is_admin, &source_req,
).await?;
// 批量写入行数据
let count = service::insert_structured_rows(
&state.db, &source.id, &rows,
).await?;
Ok(serde_json::json!({
"file": file_name,
"status": "ok",
"source_id": source.id,
"sheets": sheet_names,
"rows_imported": count,
"columns": column_headers.len(),
}))
}
_ => Err(SaasError::InvalidInput("意外的处理结果".into())),
}
}
// === 种子知识冷启动 ===
/// POST /api/v1/knowledge/seed — 触发种子知识冷启动
///
/// 需要 admin 权限,幂等(按标题+行业查重)
pub async fn seed_knowledge(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Json(req): Json<SeedKnowledgeRequest>,
) -> SaasResult<Json<serde_json::Value>> {
check_permission(&ctx, "knowledge:admin")?;
if req.items.len() > 100 {
return Err(SaasError::InvalidInput("单次种子不能超过 100 条".into()));
}
let created = service::seed_knowledge(
&state.db,
&req.industry_id,
req.category_id.as_deref().unwrap_or("seed"),
&req.items.iter().map(|i| (i.title.clone(), i.content.clone(), i.keywords.clone().unwrap_or_default())).collect::<Vec<_>>(),
&ctx.account_id,
).await?;
Ok(Json(serde_json::json!({
"industry_id": req.industry_id,
"created_count": created,
"total_submitted": req.items.len(),
})))
}

View File

@@ -1,8 +1,9 @@
//! 知识库模块 — 行业知识管理、RAG 检索、版本控制
//! 知识库模块 — 行业知识管理、RAG 检索、版本控制、结构化数据
pub mod types;
pub mod service;
pub mod handlers;
pub mod extractors;
use axum::routing::{delete, get, patch, post, put};
@@ -20,6 +21,7 @@ pub fn routes() -> axum::Router<crate::state::AppState> {
.route("/api/v1/knowledge/items", post(handlers::create_item))
.route("/api/v1/knowledge/items/batch", post(handlers::batch_create_items))
.route("/api/v1/knowledge/items/import", post(handlers::import_items))
.route("/api/v1/knowledge/upload", post(handlers::upload_file))
.route("/api/v1/knowledge/items/:id", get(handlers::get_item))
.route("/api/v1/knowledge/items/:id", put(handlers::update_item))
.route("/api/v1/knowledge/items/:id", delete(handlers::delete_item))
@@ -30,10 +32,17 @@ pub fn routes() -> axum::Router<crate::state::AppState> {
// 检索
.route("/api/v1/knowledge/search", post(handlers::search))
.route("/api/v1/knowledge/recommend", post(handlers::recommend))
.route("/api/v1/knowledge/seed", post(handlers::seed_knowledge))
// 分析看板
.route("/api/v1/knowledge/analytics/overview", get(handlers::analytics_overview))
.route("/api/v1/knowledge/analytics/trends", get(handlers::analytics_trends))
.route("/api/v1/knowledge/analytics/top-items", get(handlers::analytics_top_items))
.route("/api/v1/knowledge/analytics/quality", get(handlers::analytics_quality))
.route("/api/v1/knowledge/analytics/gaps", get(handlers::analytics_gaps))
// 结构化数据源管理
.route("/api/v1/structured/sources", get(handlers::list_structured_sources))
.route("/api/v1/structured/sources/:id", get(handlers::get_structured_source))
.route("/api/v1/structured/sources/:id/rows", get(handlers::list_structured_source_rows))
.route("/api/v1/structured/sources/:id", delete(handlers::delete_structured_source))
.route("/api/v1/structured/query", post(handlers::query_structured))
}

View File

@@ -276,6 +276,7 @@ pub async fn create_item(
pool: &PgPool,
account_id: &str,
req: &CreateItemRequest,
is_admin: bool,
) -> SaasResult<KnowledgeItem> {
let id = uuid::Uuid::new_v4().to_string();
let keywords = req.keywords.as_deref().unwrap_or(&[]);
@@ -283,6 +284,16 @@ pub async fn create_item(
let priority = req.priority.unwrap_or(0);
let tags = req.tags.as_deref().unwrap_or(&[]);
// visibility: Admin 默认 public普通用户默认 private
let visibility = req.visibility.as_deref().unwrap_or_else(|| {
if is_admin { "public" } else { "private" }
});
if !is_admin && visibility == "public" {
return Err(crate::error::SaasError::InvalidInput(
"普通用户只能创建私有知识条目".into(),
));
}
// 验证 category_id 存在性
let cat_exists: bool = sqlx::query_scalar(
"SELECT EXISTS(SELECT 1 FROM knowledge_categories WHERE id = $1)"
@@ -299,10 +310,12 @@ pub async fn create_item(
// 使用事务保证 item + version 原子性
let mut tx = pool.begin().await?;
let item_account_id: Option<&str> = if visibility == "public" { None } else { Some(account_id) };
let item = sqlx::query_as::<_, KnowledgeItem>(
"INSERT INTO knowledge_items \
(id, category_id, title, content, keywords, related_questions, priority, tags, created_by) \
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9) \
(id, category_id, title, content, keywords, related_questions, priority, tags, created_by, visibility, account_id) \
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11) \
RETURNING *"
)
.bind(&id)
@@ -314,6 +327,8 @@ pub async fn create_item(
.bind(priority)
.bind(tags)
.bind(account_id)
.bind(visibility)
.bind(item_account_id)
.fetch_one(&mut *tx)
.await?;
@@ -567,6 +582,133 @@ pub async fn search(
}).filter(|r| r.score >= min_score).collect())
}
// === 统一搜索(双通道合并) ===
/// 统一搜索:同时检索文档通道和结构化通道
pub async fn unified_search(
pool: &PgPool,
request: &SearchRequest,
viewer_account_id: Option<&str>,
) -> SaasResult<UnifiedSearchResult> {
let limit = request.limit.unwrap_or(5).min(10);
let search_docs = request.search_documents.unwrap_or(true);
let search_struct = request.search_structured.unwrap_or(true);
// 文档通道
let documents = if search_docs {
search(
pool,
&request.query,
request.category_id.as_deref(),
limit,
request.min_score.unwrap_or(0.5),
).await?
} else {
Vec::new()
};
// 结构化通道
let structured = if search_struct {
query_structured(
pool,
&StructuredQueryRequest {
query: request.query.clone(),
source_id: None,
industry_id: request.industry_id.clone(),
limit: Some(limit),
},
viewer_account_id,
).await?
} else {
Vec::new()
};
Ok(UnifiedSearchResult {
documents,
structured,
})
}
// === 种子知识冷启动 ===
/// 为指定行业插入种子知识(幂等)
///
/// P1-6 修复: 同时创建 knowledge_chunks 以支持搜索
pub async fn seed_knowledge(
pool: &PgPool,
industry_id: &str,
category_id: &str,
items: &[(String, String, Vec<String>)], // (title, content, keywords)
system_account_id: &str,
) -> SaasResult<usize> {
let mut created = 0;
for (title, content, keywords) in items {
if content.trim().is_empty() {
continue;
}
// 幂等:按标题 + source='distillation' + tags 含行业ID 查重
let exists: (i64,) = sqlx::query_as(
"SELECT COUNT(*) FROM knowledge_items \
WHERE title = $1 AND source = 'distillation' \
AND $2 = ANY(tags)"
)
.bind(title)
.bind(format!("industry:{}", industry_id))
.fetch_one(pool)
.await?;
if exists.0 > 0 {
continue;
}
let id = uuid::Uuid::new_v4().to_string();
let now = chrono::Utc::now();
let kw_json = serde_json::to_value(keywords).unwrap_or(serde_json::json!([]));
let tags = vec![
format!("industry:{}", industry_id),
"source:distillation".to_string(),
];
sqlx::query(
"INSERT INTO knowledge_items \
(id, category_id, title, content, keywords, status, priority, visibility, account_id, source, tags, version, created_by, created_at, updated_at) \
VALUES ($1, $8, $2, $3, $4, 'active', 5, 'public', NULL, \
'distillation', $5, 1, $6, $7, $7)"
)
.bind(&id)
.bind(title)
.bind(content)
.bind(&kw_json)
.bind(&tags)
.bind(system_account_id)
.bind(&now)
.bind(category_id)
.execute(pool)
.await?;
// 创建 chunks 以支持搜索(与 distill_knowledge worker 一致)
let chunks = chunk_content(content, 500, 50);
for (chunk_idx, chunk_text) in chunks.iter().enumerate() {
let chunk_id = uuid::Uuid::new_v4().to_string();
sqlx::query(
"INSERT INTO knowledge_chunks (id, item_id, content, keywords, chunk_index, created_at) \
VALUES ($1, $2, $3, $4, $5, $6)"
)
.bind(&chunk_id)
.bind(&id)
.bind(chunk_text)
.bind(&kw_json)
.bind(chunk_idx as i32)
.bind(&now)
.execute(pool)
.await?;
}
created += 1;
}
Ok(created)
}
// === 分析 ===
/// 分析总览
@@ -781,3 +923,257 @@ pub async fn analytics_gaps(pool: &PgPool) -> SaasResult<serde_json::Value> {
"gaps": gaps.into_iter().map(|(v,)| v).collect::<Vec<_>>()
}))
}
// === 结构化数据源 CRUD ===
/// 创建结构化数据源
pub async fn create_structured_source(
pool: &PgPool,
account_id: &str,
is_admin: bool,
req: &CreateStructuredSourceRequest,
) -> SaasResult<StructuredSource> {
let id = uuid::Uuid::new_v4().to_string();
let visibility = req.visibility.as_deref().unwrap_or_else(|| {
if is_admin { "public" } else { "private" }
});
let source_account_id: Option<&str> = if visibility == "public" { None } else { Some(account_id) };
let source = sqlx::query_as::<_, StructuredSource>(
"INSERT INTO structured_sources \
(id, account_id, title, description, original_file_name, sheet_names, column_headers, \
visibility, industry_id, created_by) \
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) \
RETURNING *"
)
.bind(&id)
.bind(source_account_id)
.bind(&req.title)
.bind(&req.description)
.bind(&req.original_file_name)
.bind(req.sheet_names.as_deref().unwrap_or(&vec![]))
.bind(req.column_headers.as_deref().unwrap_or(&vec![]))
.bind(visibility)
.bind(&req.industry_id)
.bind(account_id)
.fetch_one(pool)
.await?;
Ok(source)
}
/// 批量写入结构化数据行
pub async fn insert_structured_rows(
pool: &PgPool,
source_id: &str,
rows: &[(Option<String>, i32, Vec<String>, serde_json::Value)],
) -> SaasResult<i64> {
let mut tx = pool.begin().await?;
let mut count: i64 = 0;
for (sheet_name, row_index, headers, row_data) in rows {
let row_id = uuid::Uuid::new_v4().to_string();
sqlx::query(
"INSERT INTO structured_rows (id, source_id, sheet_name, row_index, headers, row_data) \
VALUES ($1, $2, $3, $4, $5, $6)"
)
.bind(&row_id)
.bind(source_id)
.bind(sheet_name)
.bind(*row_index)
.bind(headers)
.bind(row_data)
.execute(&mut *tx)
.await?;
count += 1;
}
sqlx::query(
"UPDATE structured_sources SET row_count = (SELECT COUNT(*) FROM structured_rows WHERE source_id = $1), \
updated_at = NOW() WHERE id = $1"
)
.bind(source_id)
.execute(&mut *tx)
.await?;
tx.commit().await?;
Ok(count)
}
/// 列出结构化数据源(分页,含可见性过滤)
pub async fn list_structured_sources(
pool: &PgPool,
viewer_account_id: Option<&str>,
industry_id: Option<&str>,
status: Option<&str>,
page: i64,
page_size: i64,
) -> SaasResult<(Vec<StructuredSource>, i64)> {
let offset = (page - 1) * page_size;
let items: Vec<StructuredSource> = sqlx::query_as(
"SELECT * FROM structured_sources \
WHERE (visibility = 'public' OR account_id = $1) \
AND ($2::text IS NULL OR industry_id = $2) \
AND ($3::text IS NULL OR status = $3) \
ORDER BY updated_at DESC \
LIMIT $4 OFFSET $5"
)
.bind(viewer_account_id)
.bind(industry_id)
.bind(status)
.bind(page_size)
.bind(offset)
.fetch_all(pool)
.await?;
let total: (i64,) = sqlx::query_as(
"SELECT COUNT(*) FROM structured_sources \
WHERE (visibility = 'public' OR account_id = $1) \
AND ($2::text IS NULL OR industry_id = $2) \
AND ($3::text IS NULL OR status = $3)"
)
.bind(viewer_account_id)
.bind(industry_id)
.bind(status)
.fetch_one(pool)
.await?;
Ok((items, total.0))
}
/// 获取结构化数据源详情
pub async fn get_structured_source(
pool: &PgPool,
source_id: &str,
viewer_account_id: Option<&str>,
) -> SaasResult<Option<StructuredSource>> {
let source = sqlx::query_as::<_, StructuredSource>(
"SELECT * FROM structured_sources WHERE id = $1 \
AND (visibility = 'public' OR account_id = $2)"
)
.bind(source_id)
.bind(viewer_account_id)
.fetch_optional(pool)
.await?;
Ok(source)
}
/// 列出结构化数据源的行数据(分页)
pub async fn list_structured_rows(
pool: &PgPool,
source_id: &str,
viewer_account_id: Option<&str>,
sheet_name: Option<&str>,
page: i64,
page_size: i64,
) -> SaasResult<(Vec<StructuredRow>, i64)> {
let source = get_structured_source(pool, source_id, viewer_account_id).await?;
if source.is_none() {
return Err(crate::error::SaasError::NotFound("数据源不存在或无权限".into()));
}
let offset = (page - 1) * page_size;
let rows: Vec<StructuredRow> = sqlx::query_as(
"SELECT * FROM structured_rows \
WHERE source_id = $1 \
AND ($2::text IS NULL OR sheet_name = $2) \
ORDER BY row_index \
LIMIT $3 OFFSET $4"
)
.bind(source_id)
.bind(sheet_name)
.bind(page_size)
.bind(offset)
.fetch_all(pool)
.await?;
let total: (i64,) = sqlx::query_as(
"SELECT COUNT(*) FROM structured_rows \
WHERE source_id = $1 \
AND ($2::text IS NULL OR sheet_name = $2)"
)
.bind(source_id)
.bind(sheet_name)
.fetch_one(pool)
.await?;
Ok((rows, total.0))
}
/// 删除结构化数据源(级联删除行)
pub async fn delete_structured_source(pool: &PgPool, source_id: &str) -> SaasResult<()> {
let result = sqlx::query("DELETE FROM structured_sources WHERE id = $1")
.bind(source_id)
.execute(pool)
.await?;
if result.rows_affected() == 0 {
return Err(crate::error::SaasError::NotFound("数据源不存在".into()));
}
Ok(())
}
/// 安全的结构化查询(关键词匹配 + 可见性过滤)
pub async fn query_structured(
pool: &PgPool,
request: &StructuredQueryRequest,
viewer_account_id: Option<&str>,
) -> SaasResult<Vec<StructuredQueryResult>> {
let limit = request.limit.unwrap_or(20).min(50);
let pattern = format!("%{}%",
request.query.replace('\\', "\\\\").replace('%', "\\%").replace('_', "\\_")
);
let source_filter = if let Some(ref sid) = request.source_id {
format!("AND ss.id = '{}'", sid.replace('\'', "''"))
} else {
String::new()
};
let industry_filter = if let Some(ref iid) = request.industry_id {
format!("AND ss.industry_id = '{}'", iid.replace('\'', "''"))
} else {
String::new()
};
let rows: Vec<(String, String, Vec<String>, serde_json::Value)> = sqlx::query_as(
&format!(
"SELECT sr.source_id, ss.title, sr.headers, sr.row_data \
FROM structured_rows sr \
JOIN structured_sources ss ON sr.source_id = ss.id \
WHERE (ss.visibility = 'public' OR ss.account_id = $1) \
AND ss.status = 'active' \
{} {} \
AND (sr.row_data::text ILIKE $2 \
OR array_to_string(sr.headers, ' ') ILIKE $2) \
ORDER BY ss.title, sr.row_index \
LIMIT {}",
source_filter, industry_filter, limit
)
)
.bind(viewer_account_id)
.bind(&pattern)
.fetch_all(pool)
.await?;
let mut results_map: std::collections::HashMap<String, StructuredQueryResult> =
std::collections::HashMap::new();
for (source_id, source_title, headers, row_data) in rows {
let entry = results_map.entry(source_id.clone())
.or_insert_with(|| StructuredQueryResult {
source_id: source_id.clone(),
source_title: source_title.clone(),
headers: headers.clone(),
rows: Vec::new(),
total_matched: 0,
generated_sql: None,
});
if let Ok(map) = serde_json::from_value::<std::collections::HashMap<String, serde_json::Value>>(row_data) {
entry.rows.push(map);
}
entry.total_matched += 1;
}
Ok(results_map.into_values().collect())
}

View File

@@ -2,6 +2,7 @@
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
// === 分类 ===
@@ -63,6 +64,8 @@ pub struct KnowledgeItem {
pub source: String,
pub tags: Vec<String>,
pub created_by: String,
pub visibility: Option<String>,
pub account_id: Option<String>,
pub created_at: DateTime<Utc>,
pub updated_at: DateTime<Utc>,
}
@@ -76,6 +79,7 @@ pub struct CreateItemRequest {
pub related_questions: Option<Vec<String>>,
pub priority: Option<i32>,
pub tags: Option<Vec<String>>,
pub visibility: Option<String>,
}
#[derive(Debug, Deserialize)]
@@ -115,6 +119,7 @@ pub struct ItemResponse {
pub source: String,
pub tags: Vec<String>,
pub created_by: String,
pub visibility: Option<String>,
pub reference_count: i64,
pub created_at: String,
pub updated_at: String,
@@ -167,14 +172,6 @@ pub struct KnowledgeUsage {
// === 搜索 ===
#[derive(Debug, Deserialize)]
pub struct SearchRequest {
pub query: String,
pub category_id: Option<String>,
pub limit: Option<i64>,
pub min_score: Option<f64>,
}
#[derive(Debug, Serialize)]
pub struct SearchResult {
pub chunk_id: String,
@@ -223,3 +220,130 @@ pub struct ImportRequest {
pub category_id: String,
pub files: Vec<ImportFile>,
}
// === 搜索增强 ===
#[derive(Debug, Deserialize)]
pub struct SearchRequest {
pub query: String,
pub category_id: Option<String>,
pub industry_id: Option<String>,
pub search_structured: Option<bool>,
pub search_documents: Option<bool>,
pub limit: Option<i64>,
pub min_score: Option<f64>,
}
#[derive(Debug, Serialize)]
pub struct UnifiedSearchResult {
pub documents: Vec<SearchResult>,
pub structured: Vec<StructuredQueryResult>,
}
// === 结构化数据源 ===
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct StructuredSource {
pub id: String,
pub account_id: Option<String>,
pub title: String,
pub description: Option<String>,
pub original_file_name: Option<String>,
pub sheet_names: Vec<String>,
pub row_count: i32,
pub column_headers: Vec<String>,
pub visibility: Option<String>,
pub industry_id: Option<String>,
pub status: String,
pub created_by: String,
pub created_at: DateTime<Utc>,
pub updated_at: DateTime<Utc>,
}
#[derive(Debug, Deserialize)]
pub struct CreateStructuredSourceRequest {
pub title: String,
pub description: Option<String>,
pub original_file_name: Option<String>,
pub sheet_names: Option<Vec<String>>,
pub column_headers: Option<Vec<String>>,
pub visibility: Option<String>,
pub industry_id: Option<String>,
}
#[derive(Debug, Deserialize)]
pub struct ListStructuredSourcesQuery {
pub page: Option<i64>,
pub page_size: Option<i64>,
pub industry_id: Option<String>,
pub status: Option<String>,
}
#[derive(Debug, Serialize)]
pub struct StructuredSourceResponse {
pub id: String,
pub title: String,
pub description: Option<String>,
pub original_file_name: Option<String>,
pub sheet_names: Vec<String>,
pub row_count: i64,
pub column_headers: Vec<String>,
pub visibility: Option<String>,
pub industry_id: Option<String>,
pub status: String,
pub created_by: String,
pub created_at: String,
pub updated_at: String,
}
#[derive(Debug, Clone, Serialize, Deserialize, sqlx::FromRow)]
pub struct StructuredRow {
pub id: String,
pub source_id: String,
pub sheet_name: Option<String>,
pub row_index: i32,
pub headers: Vec<String>,
pub row_data: serde_json::Value,
pub created_at: DateTime<Utc>,
}
#[derive(Debug, Deserialize)]
pub struct ListStructuredRowsQuery {
pub page: Option<i64>,
pub page_size: Option<i64>,
pub sheet_name: Option<String>,
}
#[derive(Debug, Deserialize)]
pub struct StructuredQueryRequest {
pub query: String,
pub source_id: Option<String>,
pub industry_id: Option<String>,
pub limit: Option<i64>,
}
#[derive(Debug, Serialize)]
pub struct StructuredQueryResult {
pub source_id: String,
pub source_title: String,
pub headers: Vec<String>,
pub rows: Vec<HashMap<String, serde_json::Value>>,
pub total_matched: i64,
pub generated_sql: Option<String>,
}
// === 种子知识 ===
#[derive(Debug, Deserialize)]
pub struct SeedKnowledgeRequest {
pub industry_id: String,
pub category_id: Option<String>,
pub items: Vec<SeedKnowledgeItem>,
}
#[derive(Debug, Deserialize)]
pub struct SeedKnowledgeItem {
pub title: String,
pub content: String,
pub keywords: Option<Vec<String>>,
}

View File

@@ -26,4 +26,5 @@ pub mod agent_template;
pub mod scheduled_task;
pub mod telemetry;
pub mod billing;
pub mod industry;
pub mod knowledge;

View File

@@ -13,6 +13,7 @@ use zclaw_saas::workers::record_usage::RecordUsageWorker;
use zclaw_saas::workers::update_last_used::UpdateLastUsedWorker;
use zclaw_saas::workers::aggregate_usage::AggregateUsageWorker;
use zclaw_saas::workers::generate_embedding::GenerateEmbeddingWorker;
use zclaw_saas::workers::DistillationWorker;
#[tokio::main]
async fn main() -> anyhow::Result<()> {
@@ -48,8 +49,18 @@ async fn main() -> anyhow::Result<()> {
dispatcher.register(UpdateLastUsedWorker);
dispatcher.register(AggregateUsageWorker);
dispatcher.register(GenerateEmbeddingWorker);
// 蒸馏 Worker需要加密密钥来解密 provider API key
match config.api_key_encryption_key() {
Ok(enc_key) => {
dispatcher.register(DistillationWorker::new(enc_key));
info!("DistillationWorker registered");
}
Err(e) => tracing::warn!("DistillationWorker skipped (no enc key): {}", e),
}
dispatcher.start(); // 必须在所有 register() 之后调用
info!("Worker dispatcher initialized (7 workers registered)");
info!("Worker dispatcher initialized (8 workers registered)");
// 优雅停机令牌 — 取消后所有 SSE 流和长连接立即终止
let shutdown_token = CancellationToken::new();
@@ -88,6 +99,8 @@ async fn main() -> anyhow::Result<()> {
if let Err(e) = zclaw_saas::crypto::migrate_legacy_totp_secrets(&db, &enc_key).await {
tracing::warn!("TOTP legacy migration check failed: {}", e);
}
// Self-heal: re-encrypt provider keys with current key
zclaw_saas::relay::key_pool::heal_provider_keys(&db, &enc_key).await;
} else {
drop(config_for_migration);
}
@@ -160,8 +173,9 @@ async fn main() -> anyhow::Result<()> {
interval.tick().await;
let pool = &metrics_db;
let total = pool.options().get_max_connections() as usize;
let size = pool.size() as usize;
let idle = pool.num_idle() as usize;
let used = total.saturating_sub(idle);
let used = size.saturating_sub(idle);
let usage_pct = if total > 0 { used * 100 / total } else { 0 };
tracing::info!(
"[PoolMetrics] total={} idle={} used={} usage_pct={}%",
@@ -248,9 +262,10 @@ async fn health_handler(
let pool = &state.db;
let total = pool.options().get_max_connections() as usize;
if total > 0 {
let size = pool.size() as usize;
let idle = pool.num_idle() as usize;
let used = total - idle;
let ratio = used * 100 / total;
let used = size.saturating_sub(idle);
let ratio = if size > 0 { used * 100 / total } else { 0 };
if ratio >= 80 {
return (
axum::http::StatusCode::SERVICE_UNAVAILABLE,
@@ -346,7 +361,9 @@ async fn build_router(state: AppState) -> axum::Router {
.merge(zclaw_saas::scheduled_task::routes())
.merge(zclaw_saas::telemetry::routes())
.merge(zclaw_saas::billing::routes())
.merge(zclaw_saas::billing::admin_routes())
.merge(zclaw_saas::knowledge::routes())
.merge(zclaw_saas::industry::routes())
.layer(middleware::from_fn_with_state(
state.clone(),
zclaw_saas::middleware::api_version_middleware,

View File

@@ -119,13 +119,13 @@ pub async fn quota_check_middleware(
}
// 从扩展中获取认证上下文
let account_id = match req.extensions().get::<AuthContext>() {
Some(ctx) => ctx.account_id.clone(),
let (account_id, role) = match req.extensions().get::<AuthContext>() {
Some(ctx) => (ctx.account_id.clone(), ctx.role.clone()),
None => return next.run(req).await,
};
// 检查 relay_requests 配额
match crate::billing::service::check_quota(&state.db, &account_id, "relay_requests").await {
match crate::billing::service::check_quota(&state.db, &account_id, &role, "relay_requests").await {
Ok(check) if !check.allowed => {
tracing::warn!(
"Quota exceeded for account {}: {} ({}/{})",
@@ -145,6 +145,26 @@ pub async fn quota_check_middleware(
_ => {}
}
// P1-8 修复: 同时检查 input_tokens 配额
match crate::billing::service::check_quota(&state.db, &account_id, &role, "input_tokens").await {
Ok(check) if !check.allowed => {
tracing::warn!(
"Token quota exceeded for account {}: {} ({}/{})",
account_id,
check.reason.as_deref().unwrap_or("Token配额已用尽"),
check.current,
check.limit.map(|l| l.to_string()).unwrap_or_else(|| "".into()),
);
return SaasError::RateLimited(
check.reason.unwrap_or_else(|| "月度 Token 配额已用尽".into()),
).into_response();
}
Err(e) => {
tracing::warn!("Token quota check failed for account {}: {}", account_id, e);
}
_ => {}
}
next.run(req).await
}

View File

@@ -258,7 +258,8 @@ pub async fn seed_default_config_items(db: &PgPool) -> SaasResult<usize> {
let id = uuid::Uuid::new_v4().to_string();
sqlx::query(
"INSERT INTO config_items (id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, 'local', $7, false, $8, $8)"
VALUES ($1, $2, $3, $4, $5, $6, 'local', $7, false, $8, $8)
ON CONFLICT (category, key_path) DO NOTHING"
)
.bind(&id).bind(category).bind(key_path).bind(value_type)
.bind(current_value).bind(default_value).bind(description).bind(&now)
@@ -374,7 +375,8 @@ pub async fn sync_config(
let category = parts.first().unwrap_or(&"general").to_string();
sqlx::query(
"INSERT INTO config_items (id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at)
VALUES ($1, $2, $3, 'string', $4, $4, 'local', '客户端推送', false, $5, $5)"
VALUES ($1, $2, $3, 'string', $4, $4, 'local', '客户端推送', false, $5, $5)
ON CONFLICT (category, key_path) DO NOTHING"
)
.bind(&id).bind(&category).bind(key).bind(val).bind(&now)
.execute(db).await?;

View File

@@ -89,11 +89,13 @@ pub async fn create_provider(db: &PgPool, req: &CreateProviderRequest, enc_key:
String::new()
};
let display_name = req.display_name.as_deref().unwrap_or(&req.name);
sqlx::query(
"INSERT INTO providers (id, name, display_name, api_key, base_url, api_protocol, enabled, rate_limit_rpm, rate_limit_tpm, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, true, $7, $8, $9, $9)"
)
.bind(&id).bind(&req.name).bind(&req.display_name).bind(&encrypted_api_key)
.bind(&id).bind(&req.name).bind(display_name).bind(&encrypted_api_key)
.bind(&req.base_url).bind(&req.api_protocol).bind(&req.rate_limit_rpm).bind(&req.rate_limit_tpm).bind(&now)
.execute(db).await.map_err(|e| SaasError::from_sqlx_unique(e, &format!("Provider '{}'", req.name)))?;
@@ -160,13 +162,13 @@ pub async fn list_models(
let (count_sql, data_sql) = if provider_id.is_some() {
(
"SELECT COUNT(*) FROM models WHERE provider_id = $1",
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, pricing_input, pricing_output, created_at::TEXT, updated_at::TEXT
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, is_embedding, model_type, pricing_input, pricing_output, created_at::TEXT, updated_at::TEXT
FROM models WHERE provider_id = $1 ORDER BY alias LIMIT $2 OFFSET $3",
)
} else {
(
"SELECT COUNT(*) FROM models",
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, pricing_input, pricing_output, created_at::TEXT, updated_at::TEXT
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, is_embedding, model_type, pricing_input, pricing_output, created_at::TEXT, updated_at::TEXT
FROM models ORDER BY provider_id, alias LIMIT $1 OFFSET $2",
)
};
@@ -184,7 +186,7 @@ pub async fn list_models(
let rows = query.bind(ps as i64).bind(offset).fetch_all(db).await?;
let items = rows.into_iter().map(|r| {
ModelInfo { id: r.id, provider_id: r.provider_id, model_id: r.model_id, alias: r.alias, context_window: r.context_window, max_output_tokens: r.max_output_tokens, supports_streaming: r.supports_streaming, supports_vision: r.supports_vision, enabled: r.enabled, pricing_input: r.pricing_input, pricing_output: r.pricing_output, created_at: r.created_at, updated_at: r.updated_at }
ModelInfo { id: r.id, provider_id: r.provider_id, model_id: r.model_id, alias: r.alias, context_window: r.context_window, max_output_tokens: r.max_output_tokens, supports_streaming: r.supports_streaming, supports_vision: r.supports_vision, enabled: r.enabled, is_embedding: r.is_embedding, model_type: r.model_type.clone(), pricing_input: r.pricing_input, pricing_output: r.pricing_output, created_at: r.created_at, updated_at: r.updated_at }
}).collect();
Ok(PaginatedResponse { items, total: total.0, page: p, page_size: ps })
@@ -223,15 +225,17 @@ pub async fn create_model(db: &PgPool, req: &CreateModelRequest) -> SaasResult<M
let max_out = req.max_output_tokens.unwrap_or(4096);
let streaming = req.supports_streaming.unwrap_or(true);
let vision = req.supports_vision.unwrap_or(false);
let is_embedding = req.is_embedding.unwrap_or(false);
let model_type = req.model_type.as_deref().unwrap_or(if is_embedding { "embedding" } else { "chat" });
let pi = req.pricing_input.unwrap_or(0.0);
let po = req.pricing_output.unwrap_or(0.0);
sqlx::query(
"INSERT INTO models (id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, pricing_input, pricing_output, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, true, $9, $10, $11, $11)"
"INSERT INTO models (id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, is_embedding, model_type, pricing_input, pricing_output, created_at, updated_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, true, $9, $10, $11, $12, $13, $13)"
)
.bind(&id).bind(&req.provider_id).bind(&req.model_id).bind(req.alias.as_deref().unwrap_or(&req.model_id))
.bind(ctx).bind(max_out).bind(streaming).bind(vision).bind(pi).bind(po).bind(&now)
.bind(ctx).bind(max_out).bind(streaming).bind(vision).bind(is_embedding).bind(model_type).bind(pi).bind(po).bind(&now)
.execute(db).await.map_err(|e| SaasError::from_sqlx_unique(e, &format!("模型 '{}' 在 Provider '{}'", req.model_id, req.provider_id)))?;
get_model(db, &id).await
@@ -240,7 +244,7 @@ pub async fn create_model(db: &PgPool, req: &CreateModelRequest) -> SaasResult<M
pub async fn get_model(db: &PgPool, model_id: &str) -> SaasResult<ModelInfo> {
let row: Option<ModelRow> =
sqlx::query_as(
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, pricing_input, pricing_output, created_at::TEXT, updated_at::TEXT
"SELECT id, provider_id, model_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, enabled, is_embedding, model_type, pricing_input, pricing_output, created_at::TEXT, updated_at::TEXT
FROM models WHERE id = $1"
)
.bind(model_id)
@@ -249,7 +253,7 @@ pub async fn get_model(db: &PgPool, model_id: &str) -> SaasResult<ModelInfo> {
let r = row.ok_or_else(|| SaasError::NotFound(format!("模型 {} 不存在", model_id)))?;
Ok(ModelInfo { id: r.id, provider_id: r.provider_id, model_id: r.model_id, alias: r.alias, context_window: r.context_window, max_output_tokens: r.max_output_tokens, supports_streaming: r.supports_streaming, supports_vision: r.supports_vision, enabled: r.enabled, pricing_input: r.pricing_input, pricing_output: r.pricing_output, created_at: r.created_at, updated_at: r.updated_at })
Ok(ModelInfo { id: r.id, provider_id: r.provider_id, model_id: r.model_id, alias: r.alias, context_window: r.context_window, max_output_tokens: r.max_output_tokens, supports_streaming: r.supports_streaming, supports_vision: r.supports_vision, enabled: r.enabled, is_embedding: r.is_embedding, model_type: r.model_type.clone(), pricing_input: r.pricing_input, pricing_output: r.pricing_output, created_at: r.created_at, updated_at: r.updated_at })
}
pub async fn update_model(
@@ -267,10 +271,12 @@ pub async fn update_model(
supports_streaming = COALESCE($4, supports_streaming),
supports_vision = COALESCE($5, supports_vision),
enabled = COALESCE($6, enabled),
pricing_input = COALESCE($7, pricing_input),
pricing_output = COALESCE($8, pricing_output),
updated_at = $9
WHERE id = $10"
is_embedding = COALESCE($7, is_embedding),
model_type = COALESCE($8, model_type),
pricing_input = COALESCE($9, pricing_input),
pricing_output = COALESCE($10, pricing_output),
updated_at = $11
WHERE id = $12"
)
.bind(req.alias.as_deref())
.bind(req.context_window)
@@ -278,6 +284,8 @@ pub async fn update_model(
.bind(req.supports_streaming)
.bind(req.supports_vision)
.bind(req.enabled)
.bind(req.is_embedding)
.bind(req.model_type.as_deref())
.bind(req.pricing_input)
.bind(req.pricing_output)
.bind(&now)
@@ -411,33 +419,62 @@ pub async fn revoke_account_api_key(
pub async fn get_usage_stats(
db: &PgPool, account_id: &str, query: &UsageQuery,
) -> SaasResult<UsageStats> {
// Static SQL with conditional filter pattern:
// account_id is always required; optional filters use ($N IS NULL OR col = $N).
let total_sql = "SELECT COUNT(*)::bigint, COALESCE(SUM(input_tokens), 0)::bigint, COALESCE(SUM(output_tokens), 0)::bigint
FROM usage_records WHERE account_id = $1 AND ($2 IS NULL OR created_at >= $2::timestamptz) AND ($3 IS NULL OR created_at <= $3::timestamptz) AND ($4 IS NULL OR provider_id = $4) AND ($5 IS NULL OR model_id = $5)";
// === Totals: from billing_usage_quotas (authoritative source) ===
// billing_usage_quotas is written to on every relay request (both JSON and SSE),
// whereas usage_records has 0 tokens for SSE requests. Use billing as the primary source.
let billing_row = sqlx::query(
"SELECT COALESCE(SUM(input_tokens), 0)::bigint,
COALESCE(SUM(output_tokens), 0)::bigint,
COALESCE(SUM(relay_requests), 0)::bigint
FROM billing_usage_quotas WHERE account_id = $1"
)
.bind(account_id)
.fetch_one(db)
.await?;
let total_input: i64 = billing_row.try_get(0).unwrap_or(0);
let total_output: i64 = billing_row.try_get(1).unwrap_or(0);
let total_requests: i64 = billing_row.try_get(2).unwrap_or(0);
let row = sqlx::query(total_sql)
.bind(account_id)
.bind(&query.from)
.bind(&query.to)
.bind(&query.provider_id)
.bind(&query.model_id)
.fetch_one(db).await?;
let total_requests: i64 = row.try_get(0).unwrap_or(0);
let total_input: i64 = row.try_get(1).unwrap_or(0);
let total_output: i64 = row.try_get(2).unwrap_or(0);
// === Breakdowns: from usage_records (per-request detail) ===
// Optional date filters: pass as TEXT with explicit SQL cast.
let from_str: Option<&str> = query.from.as_deref();
let to_str: Option<String> = query.to.as_ref().map(|s| {
if s.len() == 10 { format!("{}T23:59:59", s) } else { s.clone() }
});
// Build SQL dynamically for usage_records breakdowns.
// Date parameters are injected as SQL literals (validated via chrono parse).
let mut where_parts = vec![format!("account_id = '{}'", account_id.replace('\'', "''"))];
if let Some(f) = from_str {
let valid = chrono::NaiveDate::parse_from_str(f, "%Y-%m-%d").is_ok()
|| chrono::NaiveDateTime::parse_from_str(f, "%Y-%m-%dT%H:%M:%S%.f").is_ok();
if !valid {
return Err(SaasError::InvalidInput(format!("Invalid 'from' date: {}", f)));
}
where_parts.push(format!("created_at::timestamptz >= '{}T00:00:00Z'::timestamptz", f.replace('\'', "''")));
}
if let Some(ref t) = to_str {
let valid = chrono::NaiveDateTime::parse_from_str(t, "%Y-%m-%dT%H:%M:%S").is_ok()
|| chrono::NaiveDate::parse_from_str(t, "%Y-%m-%d").is_ok();
if !valid {
return Err(SaasError::InvalidInput(format!("Invalid 'to' date: {}", t)));
}
where_parts.push(format!("created_at::timestamptz <= '{}'::timestamptz", t.replace('\'', "''")));
}
if let Some(ref pid) = query.provider_id {
where_parts.push(format!("provider_id = '{}'", pid.replace('\'', "''")));
}
if let Some(ref mid) = query.model_id {
where_parts.push(format!("model_id = '{}'", mid.replace('\'', "''")));
}
let where_clause = where_parts.join(" AND ");
// 按模型统计
let by_model_sql = "SELECT provider_id, model_id, COUNT(*)::bigint AS request_count, COALESCE(SUM(input_tokens), 0)::bigint AS input_tokens, COALESCE(SUM(output_tokens), 0)::bigint AS output_tokens
FROM usage_records WHERE account_id = $1 AND ($2 IS NULL OR created_at >= $2::timestamptz) AND ($3 IS NULL OR created_at <= $3::timestamptz) AND ($4 IS NULL OR provider_id = $4) AND ($5 IS NULL OR model_id = $5) GROUP BY provider_id, model_id ORDER BY COUNT(*) DESC LIMIT 20";
let by_model_rows: Vec<UsageByModelRow> = sqlx::query_as(by_model_sql)
.bind(account_id)
.bind(&query.from)
.bind(&query.to)
.bind(&query.provider_id)
.bind(&query.model_id)
.fetch_all(db).await?;
let by_model_sql = format!(
"SELECT provider_id, model_id, COUNT(*)::bigint AS request_count, COALESCE(SUM(input_tokens), 0)::bigint AS input_tokens, COALESCE(SUM(output_tokens), 0)::bigint AS output_tokens
FROM usage_records WHERE {} GROUP BY provider_id, model_id ORDER BY COUNT(*) DESC LIMIT 20", where_clause
);
let by_model_rows: Vec<UsageByModelRow> = sqlx::query_as(&by_model_sql).fetch_all(db).await?;
let by_model: Vec<ModelUsage> = by_model_rows.into_iter()
.map(|r| {
ModelUsage { provider_id: r.provider_id, model_id: r.model_id, request_count: r.request_count, input_tokens: r.input_tokens, output_tokens: r.output_tokens }
@@ -445,16 +482,15 @@ pub async fn get_usage_stats(
// 按天统计 (使用 days 参数或默认 30 天)
let days = query.days.unwrap_or(30).min(365).max(1) as i64;
let from_days = (chrono::Utc::now() - chrono::Duration::days(days))
.date_naive()
.and_hms_opt(0, 0, 0).unwrap()
.and_utc();
let daily_sql = "SELECT created_at::date::text as day, COUNT(*)::bigint AS request_count, COALESCE(SUM(input_tokens), 0)::bigint AS input_tokens, COALESCE(SUM(output_tokens), 0)::bigint AS output_tokens
FROM usage_records WHERE account_id = $1 AND created_at >= $2
GROUP BY created_at::date ORDER BY day DESC LIMIT $3";
let daily_rows: Vec<UsageByDayRow> = sqlx::query_as(daily_sql)
.bind(account_id).bind(&from_days).bind(days as i32)
.fetch_all(db).await?;
let from_days_str = (chrono::Utc::now() - chrono::Duration::days(days))
.format("%Y-%m-%d").to_string();
let daily_sql = format!(
"SELECT created_at::date::text as day, COUNT(*)::bigint AS request_count, COALESCE(SUM(input_tokens), 0)::bigint AS input_tokens, COALESCE(SUM(output_tokens), 0)::bigint AS output_tokens
FROM usage_records WHERE account_id = '{}' AND created_at::timestamptz >= '{}T00:00:00Z'::timestamptz
GROUP BY created_at::date ORDER BY day DESC LIMIT {}",
account_id.replace('\'', "''"), from_days_str.replace('\'', "''"), days
);
let daily_rows: Vec<UsageByDayRow> = sqlx::query_as(&daily_sql).fetch_all(db).await?;
let by_day: Vec<DailyUsage> = daily_rows.into_iter()
.map(|r| {
DailyUsage { date: r.day, request_count: r.request_count, input_tokens: r.input_tokens, output_tokens: r.output_tokens }

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