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69d3feb865 |
@@ -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
|
||||
|
||||
18
CLAUDE.md
18
CLAUDE.md
@@ -529,7 +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
|
||||
|
||||
@@ -537,20 +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 |
|
||||
| Hermes 管线 | ✅ 活跃 | 04-09 4 Chunk: 自我改进+用户建模+NL Cron+轨迹压缩 (684 tests) |
|
||||
| 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 | 14 层 (含 DataMasking@90, ButlerRouter, TrajectoryRecorder@650) |
|
||||
| 中间件链 | ✅ 稳定 | 15 层 (含 DataMasking@90, ButlerRouter, TrajectoryRecorder@650 — V13注册) |
|
||||
|
||||
### 关键架构模式
|
||||
|
||||
- **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 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)
|
||||
- **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
|
||||
@@ -559,9 +560,10 @@ refactor(store): 统一 Store 数据获取方式
|
||||
|
||||
### 最近变更
|
||||
|
||||
1. [04-09] Hermes Intelligence Pipeline 4 Chunk: ExperienceStore+Extractor, UserProfileStore+Profiler, NlScheduleParser, TrajectoryRecorder+Compressor (684 tests, 0 failed)
|
||||
2. [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. [04-08] 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)
|
||||
|
||||
|
||||
458
Cargo.lock
generated
458
Cargo.lock
generated
@@ -17,6 +17,15 @@ version = "2.0.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "320119579fcad9c21884f5c4861d16174d0e06250625266f50fe6898340abefa"
|
||||
|
||||
[[package]]
|
||||
name = "adobe-cmap-parser"
|
||||
version = "0.4.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ae8abfa9a4688de8fc9f42b3f013b6fffec18ed8a554f5f113577e0b9b3212a3"
|
||||
dependencies = [
|
||||
"pom 1.1.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aead"
|
||||
version = "0.5.2"
|
||||
@@ -381,6 +390,7 @@ dependencies = [
|
||||
"matchit",
|
||||
"memchr",
|
||||
"mime",
|
||||
"multer",
|
||||
"percent-encoding",
|
||||
"pin-project-lite",
|
||||
"rustversion",
|
||||
@@ -621,6 +631,25 @@ dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "bzip2"
|
||||
version = "0.5.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "49ecfb22d906f800d4fe833b6282cf4dc1c298f5057ca0b5445e5c209735ca47"
|
||||
dependencies = [
|
||||
"bzip2-sys",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "bzip2-sys"
|
||||
version = "0.1.13+1.0.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "225bff33b2141874fe80d71e07d6eec4f85c5c216453dd96388240f96e1acc14"
|
||||
dependencies = [
|
||||
"cc",
|
||||
"pkg-config",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cairo-rs"
|
||||
version = "0.18.5"
|
||||
@@ -646,6 +675,21 @@ dependencies = [
|
||||
"system-deps",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "calamine"
|
||||
version = "0.26.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "138646b9af2c5d7f1804ea4bf93afc597737d2bd4f7341d67c48b03316976eb1"
|
||||
dependencies = [
|
||||
"byteorder",
|
||||
"codepage",
|
||||
"encoding_rs",
|
||||
"log",
|
||||
"quick-xml 0.31.0",
|
||||
"serde",
|
||||
"zip 2.4.2",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "camino"
|
||||
version = "1.2.2"
|
||||
@@ -779,6 +823,8 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "7a0dd1ca384932ff3641c8718a02769f1698e7563dc6974ffd03346116310423"
|
||||
dependencies = [
|
||||
"find-msvc-tools",
|
||||
"jobserver",
|
||||
"libc",
|
||||
"shlex",
|
||||
]
|
||||
|
||||
@@ -906,6 +952,15 @@ dependencies = [
|
||||
"thiserror 2.0.18",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "codepage"
|
||||
version = "0.1.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "48f68d061bc2828ae826206326e61251aca94c1e4a5305cf52d9138639c918b4"
|
||||
dependencies = [
|
||||
"encoding_rs",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "color_quant"
|
||||
version = "1.1.0"
|
||||
@@ -1458,6 +1513,12 @@ dependencies = [
|
||||
"windows-sys 0.59.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "deflate64"
|
||||
version = "0.1.12"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ac6b926516df9c60bfa16e107b21086399f8285a44ca9711344b9e553c5146e2"
|
||||
|
||||
[[package]]
|
||||
name = "der"
|
||||
version = "0.7.10"
|
||||
@@ -1526,7 +1587,7 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "desktop"
|
||||
version = "0.1.0"
|
||||
version = "0.9.0-beta.1"
|
||||
dependencies = [
|
||||
"aes-gcm",
|
||||
"async-trait",
|
||||
@@ -1552,11 +1613,13 @@ dependencies = [
|
||||
"tauri-build",
|
||||
"tauri-plugin-mcp",
|
||||
"tauri-plugin-opener",
|
||||
"tauri-plugin-updater",
|
||||
"thiserror 2.0.18",
|
||||
"tokio",
|
||||
"toml 0.8.2",
|
||||
"tower-http 0.5.2",
|
||||
"tracing",
|
||||
"tracing-subscriber",
|
||||
"uuid",
|
||||
"zclaw-growth",
|
||||
"zclaw-hands",
|
||||
@@ -1902,6 +1965,15 @@ dependencies = [
|
||||
"windows-sys 0.48.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "euclid"
|
||||
version = "0.20.14"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "2bb7ef65b3777a325d1eeefefab5b6d4959da54747e33bd6258e789640f307ad"
|
||||
dependencies = [
|
||||
"num-traits",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "event-listener"
|
||||
version = "2.5.3"
|
||||
@@ -2004,6 +2076,17 @@ dependencies = [
|
||||
"rustc_version 0.4.1",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "filetime"
|
||||
version = "0.2.27"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f98844151eee8917efc50bd9e8318cb963ae8b297431495d3f758616ea5c57db"
|
||||
dependencies = [
|
||||
"cfg-if",
|
||||
"libc",
|
||||
"libredox",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "find-msvc-tools"
|
||||
version = "0.1.9"
|
||||
@@ -2358,7 +2441,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a1c422344482708cb32db843cf3f55f27918cd24fec7b505bde895a1e8702c34"
|
||||
dependencies = [
|
||||
"derive_more 0.99.20",
|
||||
"lopdf",
|
||||
"lopdf 0.26.0",
|
||||
"printpdf",
|
||||
"rusttype",
|
||||
]
|
||||
@@ -3276,6 +3359,16 @@ dependencies = [
|
||||
"syn 2.0.117",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jobserver"
|
||||
version = "0.1.34"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "9afb3de4395d6b3e67a780b6de64b51c978ecf11cb9a462c66be7d4ca9039d33"
|
||||
dependencies = [
|
||||
"getrandom 0.3.4",
|
||||
"libc",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "jpeg-decoder"
|
||||
version = "0.3.2"
|
||||
@@ -3524,16 +3617,55 @@ dependencies = [
|
||||
"linked-hash-map",
|
||||
"log",
|
||||
"lzw",
|
||||
"pom",
|
||||
"pom 3.4.0",
|
||||
"time 0.2.27",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "lopdf"
|
||||
version = "0.34.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "c5c8ecfc6c72051981c0459f75ccc585e7ff67c70829560cda8e647882a9abff"
|
||||
dependencies = [
|
||||
"encoding_rs",
|
||||
"flate2",
|
||||
"indexmap 2.13.0",
|
||||
"itoa 1.0.18",
|
||||
"log",
|
||||
"md-5",
|
||||
"nom",
|
||||
"rangemap",
|
||||
"time 0.3.47",
|
||||
"weezl",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "lru-slab"
|
||||
version = "0.1.2"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "112b39cec0b298b6c1999fee3e31427f74f676e4cb9879ed1a121b43661a4154"
|
||||
|
||||
[[package]]
|
||||
name = "lzma-rs"
|
||||
version = "0.3.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "297e814c836ae64db86b36cf2a557ba54368d03f6afcd7d947c266692f71115e"
|
||||
dependencies = [
|
||||
"byteorder",
|
||||
"crc",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "lzma-sys"
|
||||
version = "0.1.20"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "5fda04ab3764e6cde78b9974eec4f779acaba7c4e84b36eca3cf77c581b85d27"
|
||||
dependencies = [
|
||||
"cc",
|
||||
"libc",
|
||||
"pkg-config",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "lzw"
|
||||
version = "0.10.0"
|
||||
@@ -3664,6 +3796,12 @@ version = "0.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
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"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"
|
||||
|
||||
10
Cargo.toml
10
Cargo.toml
@@ -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"] }
|
||||
|
||||
|
||||
@@ -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',
|
||||
|
||||
@@ -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">编辑账号</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>订阅计划</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>行业授权</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>
|
||||
|
||||
169
admin-v2/src/pages/ApiKeys.tsx
Normal file
169
admin-v2/src/pages/ApiKeys.tsx
Normal 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">从未使用</Text>),
|
||||
},
|
||||
{
|
||||
title: '过期时间',
|
||||
dataIndex: 'expires_at',
|
||||
width: 180,
|
||||
render: (val: string) =>
|
||||
val ? new Date(val).toLocaleString() : <Text type="secondary">永不过期</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">吊销</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)}>
|
||||
创建密钥
|
||||
</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">
|
||||
请立即复制密钥,关闭后将无法再次查看。
|
||||
</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>
|
||||
)
|
||||
}
|
||||
379
admin-v2/src/pages/Industries.tsx
Normal file
379
admin-v2/src/pages/Industries.tsx
Normal 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)}
|
||||
>
|
||||
编辑
|
||||
</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 />}>禁用</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 />}>启用</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)}>
|
||||
新建行业
|
||||
</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">编辑行业配置 — {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">
|
||||
来源: <Tag color={data.source === 'builtin' ? 'blue' : 'purple'}>{sourceLabels[data.source]}</Tag>
|
||||
{' '}状态: <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>
|
||||
)
|
||||
}
|
||||
@@ -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)}>
|
||||
查看数据
|
||||
</Button>
|
||||
<Popconfirm title="确认删除此数据源?" onConfirm={() => deleteMutation.mutate(record.id)}>
|
||||
<Button type="link" size="small" danger>
|
||||
删除
|
||||
</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)}>返回列表</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 }[] {
|
||||
|
||||
@@ -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">是</Tag> : <Tag>否</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>
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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 })) },
|
||||
],
|
||||
},
|
||||
])
|
||||
|
||||
@@ -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),
|
||||
}
|
||||
|
||||
105
admin-v2/src/services/industries.ts
Normal file
105
admin-v2/src/services/industries.ts
Normal 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),
|
||||
}
|
||||
@@ -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),
|
||||
}
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
6
admin-v2/test-results/artifacts/.last-run.json
Normal file
6
admin-v2/test-results/artifacts/.last-run.json
Normal file
@@ -0,0 +1,6 @@
|
||||
{
|
||||
"status": "failed",
|
||||
"failedTests": [
|
||||
"825d61429c68a1b0492e-735d17b3ccbad35e8726"
|
||||
]
|
||||
}
|
||||
@@ -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',
|
||||
```
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 281 KiB |
Binary file not shown.
@@ -20,7 +20,7 @@ export default defineConfig({
|
||||
timeout: 600_000,
|
||||
proxyTimeout: 600_000,
|
||||
},
|
||||
'/api': {
|
||||
'/api/': {
|
||||
target: 'http://localhost:8080',
|
||||
changeOrigin: true,
|
||||
timeout: 30_000,
|
||||
|
||||
@@ -42,6 +42,12 @@ pub struct Experience {
|
||||
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 {
|
||||
@@ -64,6 +70,8 @@ impl Experience {
|
||||
reuse_count: 0,
|
||||
created_at: now,
|
||||
updated_at: now,
|
||||
industry_context: None,
|
||||
source_trigger: None,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -108,6 +116,9 @@ impl ExperienceStore {
|
||||
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,
|
||||
|
||||
@@ -132,13 +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'
|
||||
)
|
||||
"#,
|
||||
)
|
||||
@@ -189,6 +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(())
|
||||
}
|
||||
@@ -378,19 +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.
|
||||
|
||||
@@ -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::*;
|
||||
|
||||
77
crates/zclaw-hands/src/hands/reminder.rs
Normal file
77
crates/zclaw-hands/src/hands/reminder.rs
Normal 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
|
||||
}
|
||||
}
|
||||
@@ -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);
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
@@ -217,6 +234,7 @@ impl Kernel {
|
||||
category: "semantic_skill".to_string(),
|
||||
confidence: r.confidence,
|
||||
skill_id: Some(r.skill_id),
|
||||
domain_prompt: None,
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -224,8 +242,9 @@ impl Kernel {
|
||||
// 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(
|
||||
Box::new(adapter)
|
||||
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));
|
||||
}
|
||||
@@ -335,6 +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
|
||||
@@ -405,6 +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)]
|
||||
|
||||
@@ -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(),
|
||||
});
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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())
|
||||
|
||||
@@ -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 }
|
||||
|
||||
@@ -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,
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -737,6 +737,9 @@ impl OpenAiDriver {
|
||||
input: input.clone(),
|
||||
});
|
||||
}
|
||||
ContentBlock::ToolResult { .. } => {
|
||||
// ToolResult is only used in request messages, never in responses
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -34,3 +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};
|
||||
|
||||
@@ -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};
|
||||
@@ -21,6 +27,19 @@ 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.
|
||||
@@ -38,6 +57,8 @@ 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>,
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -81,13 +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))?;
|
||||
|
||||
@@ -99,6 +120,7 @@ impl KeywordClassifier {
|
||||
category: best_domain.to_string(),
|
||||
confidence: best_score,
|
||||
skill_id: None,
|
||||
domain_prompt: best_prompt.map(|s| s.to_string()),
|
||||
})
|
||||
}
|
||||
|
||||
@@ -108,9 +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]
|
||||
@@ -127,7 +180,10 @@ 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.
|
||||
@@ -135,38 +191,75 @@ impl ButlerRouterMiddleware {
|
||||
/// 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) }
|
||||
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。",
|
||||
"semantic_skill" => {
|
||||
// Semantic routing matched a specific skill
|
||||
if let Some(ref skill_id) = hint.skill_id {
|
||||
return format!(
|
||||
"\n\n[语义路由] 匹配技能: {} (置信度: {:.0}%)\n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。",
|
||||
skill_id,
|
||||
hint.confidence * 100.0
|
||||
);
|
||||
}
|
||||
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(),
|
||||
};
|
||||
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关联技能: {}", 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
|
||||
)
|
||||
}
|
||||
@@ -178,6 +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('&', "&")
|
||||
.replace('<', "<")
|
||||
.replace('>', ">")
|
||||
.replace('"', """)
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl AgentMiddleware for ButlerRouterMiddleware {
|
||||
fn name(&self) -> &str {
|
||||
@@ -195,10 +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 {
|
||||
@@ -260,7 +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);
|
||||
}
|
||||
|
||||
@@ -270,13 +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();
|
||||
@@ -293,10 +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();
|
||||
@@ -318,9 +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);
|
||||
}
|
||||
|
||||
@@ -130,7 +130,7 @@ impl DataMasker {
|
||||
fn recover_read<T>(lock: &RwLock<T>) -> std::sync::LockResult<std::sync::RwLockReadGuard<'_, T>> {
|
||||
match lock.read() {
|
||||
Ok(guard) => Ok(guard),
|
||||
Err(e) => {
|
||||
Err(_e) => {
|
||||
tracing::warn!("[DataMasker] RwLock poisoned during read, recovering");
|
||||
// Poison error still gives us access to the inner guard
|
||||
lock.read()
|
||||
@@ -141,7 +141,7 @@ impl DataMasker {
|
||||
fn recover_write<T>(lock: &RwLock<T>) -> std::sync::LockResult<std::sync::RwLockWriteGuard<'_, T>> {
|
||||
match lock.write() {
|
||||
Ok(guard) => Ok(guard),
|
||||
Err(e) => {
|
||||
Err(_e) => {
|
||||
tracing::warn!("[DataMasker] RwLock poisoned during write, recovering");
|
||||
lock.write()
|
||||
}
|
||||
|
||||
@@ -11,7 +11,7 @@ use tokio::sync::RwLock;
|
||||
use zclaw_memory::trajectory_store::{
|
||||
TrajectoryEvent, TrajectoryStepType, TrajectoryStore,
|
||||
};
|
||||
use zclaw_types::{Result, SessionId};
|
||||
use zclaw_types::Result;
|
||||
use crate::driver::ContentBlock;
|
||||
use crate::middleware::{AgentMiddleware, MiddlewareContext, MiddlewareDecision};
|
||||
|
||||
|
||||
@@ -7,7 +7,10 @@
|
||||
//!
|
||||
//! Lives in `zclaw-runtime` because it's a pure text→cron utility with no kernel dependency.
|
||||
|
||||
use chrono::{Datelike, Timelike};
|
||||
use std::sync::LazyLock;
|
||||
|
||||
use chrono::Timelike;
|
||||
use regex::Regex;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use zclaw_types::AgentId;
|
||||
|
||||
@@ -56,20 +59,79 @@ pub enum ScheduleParseResult {
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Regex pattern library
|
||||
// Pre-compiled regex patterns (LazyLock — compiled once, reused forever)
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/// A single pattern for matching Chinese time expressions.
|
||||
struct SchedulePattern {
|
||||
/// Regex pattern string
|
||||
regex: &'static str,
|
||||
/// Cron template — use {h} for hour, {m} for minute, {dow} for day-of-week, {dom} for day-of-month
|
||||
cron_template: &'static str,
|
||||
/// Human description template
|
||||
description: &'static str,
|
||||
/// Base confidence for this pattern
|
||||
confidence: f32,
|
||||
}
|
||||
/// 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> {
|
||||
@@ -99,6 +161,23 @@ fn weekday_to_cron(day: &str) -> Option<&'static str> {
|
||||
}
|
||||
}
|
||||
|
||||
/// 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
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -113,35 +192,23 @@ pub fn parse_nl_schedule(input: &str, default_agent_id: &AgentId) -> SchedulePar
|
||||
return ScheduleParseResult::Unclear;
|
||||
}
|
||||
|
||||
// Extract task description (everything after keywords like "提醒我", "帮我")
|
||||
let task_description = extract_task_description(input);
|
||||
|
||||
// --- Pattern 1: 每天 + 时间 ---
|
||||
if let Some(result) = try_every_day(input, &task_description, default_agent_id) {
|
||||
return result;
|
||||
}
|
||||
|
||||
// --- Pattern 2: 每周N + 时间 ---
|
||||
if let Some(result) = try_every_week(input, &task_description, default_agent_id) {
|
||||
return result;
|
||||
}
|
||||
|
||||
// --- Pattern 3: 工作日 + 时间 ---
|
||||
if let Some(result) = try_workday(input, &task_description, default_agent_id) {
|
||||
return result;
|
||||
}
|
||||
|
||||
// --- Pattern 4: 每N小时/分钟 ---
|
||||
if let Some(result) = try_interval(input, &task_description, default_agent_id) {
|
||||
return result;
|
||||
}
|
||||
|
||||
// --- Pattern 5: 每月N号 ---
|
||||
if let Some(result) = try_monthly(input, &task_description, default_agent_id) {
|
||||
return result;
|
||||
}
|
||||
|
||||
// --- Pattern 6: 明天/后天 + 时间 (one-shot) ---
|
||||
if let Some(result) = try_one_shot(input, &task_description, default_agent_id) {
|
||||
return result;
|
||||
}
|
||||
@@ -160,13 +227,7 @@ fn extract_task_description(input: &str) -> String {
|
||||
|
||||
let mut desc = input.to_string();
|
||||
|
||||
// Strip prefixes + time expressions in alternating passes until stable
|
||||
let time_re = regex::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_or_else(|_| regex::Regex::new("").unwrap());
|
||||
|
||||
for _ in 0..3 {
|
||||
// Pass 1: strip prefixes
|
||||
loop {
|
||||
let mut stripped = false;
|
||||
for prefix in &strip_prefixes {
|
||||
@@ -177,8 +238,7 @@ fn extract_task_description(input: &str) -> String {
|
||||
}
|
||||
if !stripped { break; }
|
||||
}
|
||||
// Pass 2: strip time expressions
|
||||
let new_desc = time_re.replace(&desc, "").to_string();
|
||||
let new_desc = RE_TIME_STRIP.replace(&desc, "").to_string();
|
||||
if new_desc == desc { break; }
|
||||
desc = new_desc;
|
||||
}
|
||||
@@ -186,32 +246,10 @@ fn extract_task_description(input: &str) -> String {
|
||||
desc.trim().to_string()
|
||||
}
|
||||
|
||||
// -- Pattern matchers --
|
||||
|
||||
/// 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
|
||||
}
|
||||
}
|
||||
|
||||
const PERIOD_PATTERN: &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)?";
|
||||
// -- Pattern matchers (all use pre-compiled statics) --
|
||||
|
||||
fn try_every_day(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
|
||||
let re = regex::Regex::new(
|
||||
&format!(r"(?:每天|每日)(?:的)?{}(\d{{1,2}})[点时::](\d{{1,2}})?", PERIOD_PATTERN)
|
||||
).ok()?;
|
||||
if let Some(caps) = re.captures(input) {
|
||||
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);
|
||||
@@ -228,9 +266,7 @@ fn try_every_day(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sch
|
||||
}));
|
||||
}
|
||||
|
||||
// "每天早上/下午..." without explicit hour
|
||||
let re2 = regex::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)").ok()?;
|
||||
if let Some(caps) = re2.captures(input) {
|
||||
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 {
|
||||
@@ -247,11 +283,7 @@ fn try_every_day(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sch
|
||||
}
|
||||
|
||||
fn try_every_week(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
|
||||
let re = regex::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_PATTERN)
|
||||
).ok()?;
|
||||
|
||||
let caps = re.captures(input)?;
|
||||
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());
|
||||
@@ -272,11 +304,7 @@ fn try_every_week(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sc
|
||||
}
|
||||
|
||||
fn try_workday(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
|
||||
let re = regex::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_PATTERN)
|
||||
).ok()?;
|
||||
|
||||
if let Some(caps) = re.captures(input) {
|
||||
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);
|
||||
@@ -293,11 +321,7 @@ fn try_workday(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sched
|
||||
}));
|
||||
}
|
||||
|
||||
// "工作日下午3点" style
|
||||
let re2 = regex::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)"
|
||||
).ok()?;
|
||||
if let Some(caps) = re2.captures(input) {
|
||||
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 {
|
||||
@@ -314,9 +338,7 @@ fn try_workday(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sched
|
||||
}
|
||||
|
||||
fn try_interval(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
|
||||
// "每2小时", "每30分钟", "每N小时/分钟"
|
||||
let re = regex::Regex::new(r"每(\d{1,2})(小时|分钟|分|钟|个小时)").ok()?;
|
||||
if let Some(caps) = re.captures(input) {
|
||||
if let Some(caps) = RE_INTERVAL.captures(input) {
|
||||
let n: u32 = caps.get(1)?.as_str().parse().ok()?;
|
||||
if n == 0 {
|
||||
return None;
|
||||
@@ -340,11 +362,7 @@ fn try_interval(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sche
|
||||
}
|
||||
|
||||
fn try_monthly(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
|
||||
let re = regex::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_PATTERN)
|
||||
).ok()?;
|
||||
|
||||
if let Some(caps) = re.captures(input) {
|
||||
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);
|
||||
@@ -366,11 +384,7 @@ fn try_monthly(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<Sched
|
||||
}
|
||||
|
||||
fn try_one_shot(input: &str, task_desc: &str, agent_id: &AgentId) -> Option<ScheduleParseResult> {
|
||||
let re = regex::Regex::new(
|
||||
&format!(r"(明天|后天|大后天)(?:的)?{}(\d{{1,2}})[点时::](\d{{1,2}})?", PERIOD_PATTERN)
|
||||
).ok()?;
|
||||
|
||||
let caps = re.captures(input)?;
|
||||
let caps = RE_ONE_SHOT.captures(input)?;
|
||||
let day_offset = match caps.get(1)?.as_str() {
|
||||
"明天" => 1,
|
||||
"后天" => 2,
|
||||
|
||||
@@ -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;
|
||||
|
||||
|
||||
48
crates/zclaw-runtime/src/tool/builtin/mcp_tool.rs
Normal file
48
crates/zclaw-runtime/src/tool/builtin/mcp_tool.rs
Normal 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
|
||||
}
|
||||
}
|
||||
@@ -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 }
|
||||
|
||||
@@ -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;
|
||||
|
||||
@@ -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);
|
||||
@@ -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);
|
||||
@@ -0,0 +1,2 @@
|
||||
DROP TABLE IF EXISTS account_industries;
|
||||
DROP TABLE IF EXISTS industries;
|
||||
@@ -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;
|
||||
@@ -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>,
|
||||
|
||||
@@ -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))
|
||||
}
|
||||
|
||||
@@ -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,
|
||||
|
||||
@@ -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,
|
||||
}
|
||||
|
||||
@@ -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)
|
||||
|
||||
@@ -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;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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
|
||||
|
||||
128
crates/zclaw-saas/src/industry/builtin.rs
Normal file
128
crates/zclaw-saas/src/industry/builtin.rs
Normal 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),
|
||||
],
|
||||
},
|
||||
]
|
||||
}
|
||||
111
crates/zclaw-saas/src/industry/handlers.rs
Normal file
111
crates/zclaw-saas/src/industry/handlers.rs
Normal 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(())
|
||||
}
|
||||
25
crates/zclaw-saas/src/industry/mod.rs
Normal file
25
crates/zclaw-saas/src/industry/mod.rs
Normal 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))
|
||||
}
|
||||
301
crates/zclaw-saas/src/industry/service.rs
Normal file
301
crates/zclaw-saas/src/industry/service.rs
Normal file
@@ -0,0 +1,301 @@
|
||||
//! 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(())
|
||||
}
|
||||
144
crates/zclaw-saas/src/industry/types.rs
Normal file
144
crates/zclaw-saas/src/industry/types.rs
Normal file
@@ -0,0 +1,144 @@
|
||||
//! 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>,
|
||||
}
|
||||
369
crates/zclaw-saas/src/knowledge/extractors.rs
Normal file
369
crates/zclaw-saas/src/knowledge/extractors.rs
Normal file
@@ -0,0 +1,369 @@
|
||||
//! 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!("第 {} 页", 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(§ion.content);
|
||||
md.push_str("\n\n");
|
||||
}
|
||||
md.trim().to_string()
|
||||
}
|
||||
@@ -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(),
|
||||
})))
|
||||
}
|
||||
|
||||
@@ -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))
|
||||
}
|
||||
|
||||
@@ -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())
|
||||
}
|
||||
|
||||
@@ -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>>,
|
||||
}
|
||||
|
||||
@@ -26,4 +26,5 @@ pub mod agent_template;
|
||||
pub mod scheduled_task;
|
||||
pub mod telemetry;
|
||||
pub mod billing;
|
||||
pub mod industry;
|
||||
pub mod knowledge;
|
||||
|
||||
@@ -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);
|
||||
}
|
||||
@@ -348,7 +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,
|
||||
|
||||
@@ -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
|
||||
}
|
||||
|
||||
|
||||
@@ -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?;
|
||||
|
||||
@@ -162,13 +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",
|
||||
)
|
||||
};
|
||||
@@ -186,7 +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 })
|
||||
@@ -225,15 +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
|
||||
@@ -242,7 +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)
|
||||
@@ -251,7 +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(
|
||||
@@ -269,10 +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)
|
||||
@@ -280,6 +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)
|
||||
@@ -413,21 +419,33 @@ pub async fn revoke_account_api_key(
|
||||
pub async fn get_usage_stats(
|
||||
db: &PgPool, account_id: &str, query: &UsageQuery,
|
||||
) -> SaasResult<UsageStats> {
|
||||
// Optional date filters: pass as TEXT with explicit $N::timestamptz SQL cast.
|
||||
// This avoids the sqlx NULL-without-type-OID problem — PG's ::timestamptz
|
||||
// gives a typed NULL even when sqlx sends an untyped NULL.
|
||||
// === 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);
|
||||
|
||||
// === 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();
|
||||
// For 'to' date-only strings, append T23:59:59 to include the entire day
|
||||
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 to avoid sqlx NULL-without-type-OID problem entirely.
|
||||
// Date parameters are injected as SQL literals (validated above via chrono parse).
|
||||
// Only account_id uses parameterized binding to prevent SQL injection on user input.
|
||||
// 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 {
|
||||
// Validate: must be parseable as a date
|
||||
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 {
|
||||
@@ -451,15 +469,6 @@ pub async fn get_usage_stats(
|
||||
}
|
||||
let where_clause = where_parts.join(" AND ");
|
||||
|
||||
let total_sql = format!(
|
||||
"SELECT COUNT(*)::bigint, COALESCE(SUM(input_tokens), 0)::bigint, COALESCE(SUM(output_tokens), 0)::bigint
|
||||
FROM usage_records WHERE {}", where_clause
|
||||
);
|
||||
let row = sqlx::query(&total_sql).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);
|
||||
|
||||
// 按模型统计
|
||||
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
|
||||
|
||||
@@ -56,6 +56,8 @@ pub struct ModelInfo {
|
||||
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,
|
||||
pub created_at: String,
|
||||
@@ -71,6 +73,8 @@ pub struct CreateModelRequest {
|
||||
pub max_output_tokens: Option<i64>,
|
||||
pub supports_streaming: Option<bool>,
|
||||
pub supports_vision: Option<bool>,
|
||||
pub is_embedding: Option<bool>,
|
||||
pub model_type: Option<String>,
|
||||
pub pricing_input: Option<f64>,
|
||||
pub pricing_output: Option<f64>,
|
||||
}
|
||||
@@ -83,6 +87,8 @@ pub struct UpdateModelRequest {
|
||||
pub supports_streaming: Option<bool>,
|
||||
pub supports_vision: Option<bool>,
|
||||
pub enabled: Option<bool>,
|
||||
pub is_embedding: Option<bool>,
|
||||
pub model_type: Option<String>,
|
||||
pub pricing_input: Option<f64>,
|
||||
pub pricing_output: Option<f64>,
|
||||
}
|
||||
|
||||
@@ -14,6 +14,8 @@ pub struct ModelRow {
|
||||
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,
|
||||
pub created_at: String,
|
||||
|
||||
@@ -23,6 +23,18 @@ pub async fn chat_completions(
|
||||
) -> SaasResult<Response> {
|
||||
check_permission(&ctx, "relay:use")?;
|
||||
|
||||
// P1-08 修复: 直接配额检查(不依赖中间件,防御性编程)
|
||||
for quota_type in &["relay_requests", "input_tokens", "output_tokens"] {
|
||||
let check = crate::billing::service::check_quota(
|
||||
&state.db, &ctx.account_id, &ctx.role, quota_type,
|
||||
).await?;
|
||||
if !check.allowed {
|
||||
return Err(SaasError::RateLimited(
|
||||
check.reason.unwrap_or_else(|| format!("{} 配额已用尽", quota_type))
|
||||
));
|
||||
}
|
||||
}
|
||||
|
||||
// 队列容量检查:使用内存 AtomicI64 计数器,消除 DB COUNT 查询
|
||||
let max_queue_size = {
|
||||
let config = state.config.read().await;
|
||||
@@ -152,8 +164,8 @@ pub async fn chat_completions(
|
||||
}
|
||||
ModelResolution::Group(candidates)
|
||||
} else {
|
||||
// 向后兼容:直接模型查找
|
||||
let target_model = state.cache.get_model(model_name)
|
||||
// 向后兼容:直接模型查找 + 别名解析(如 "glm-4-flash" → "glm-4-flash-250414")
|
||||
let target_model = state.cache.resolve_model(model_name)
|
||||
.ok_or_else(|| SaasError::NotFound(format!("模型 {} 不存在或未启用", model_name)))?;
|
||||
|
||||
// 获取 provider 信息 — 使用内存缓存消除 DB 查询
|
||||
@@ -218,7 +230,7 @@ pub async fn chat_completions(
|
||||
ModelResolution::Direct(ref candidate) => {
|
||||
// 单 Provider 直接路由(向后兼容)
|
||||
match service::execute_relay(
|
||||
&state.db, &task.id, &candidate.provider_id,
|
||||
&state.db, &task.id, &ctx.account_id, &candidate.provider_id,
|
||||
&candidate.base_url, &request_body, stream,
|
||||
max_attempts, retry_delay_ms, &enc_key,
|
||||
true, // 独立调用,管理 task 状态
|
||||
@@ -233,7 +245,7 @@ pub async fn chat_completions(
|
||||
// SSE 一旦开始流式传输,中途上游断连不会触发 failover(SSE 协议固有限制)。
|
||||
service::sort_candidates_by_quota(&state.db, candidates).await;
|
||||
service::execute_relay_with_failover(
|
||||
&state.db, &task.id, candidates,
|
||||
&state.db, &task.id, &ctx.account_id, candidates,
|
||||
&request_body, stream,
|
||||
max_attempts, retry_delay_ms, &enc_key
|
||||
).await
|
||||
@@ -321,14 +333,8 @@ pub async fn chat_completions(
|
||||
}
|
||||
}
|
||||
|
||||
// SSE: relay_requests 实时递增(tokens 由 AggregateUsageWorker 对账修正)
|
||||
if let Err(e) = crate::billing::service::increment_dimension(
|
||||
&state.db, &account_id_usage, "relay_requests",
|
||||
).await {
|
||||
tracing::warn!("Failed to increment billing relay_requests for {}: {}", account_id_usage, e);
|
||||
}
|
||||
|
||||
// SSE 流已返回,递减队列计数器(流式任务开始处理)
|
||||
// 注意: relay_requests 和 tokens 统一由 execute_relay spawned task 中的 increment_usage 递增
|
||||
state.cache.relay_dequeue(&account_id_usage);
|
||||
|
||||
let response = axum::response::Response::builder()
|
||||
@@ -372,12 +378,14 @@ pub async fn list_available_models(
|
||||
State(state): State<AppState>,
|
||||
_ctx: Extension<AuthContext>,
|
||||
) -> SaasResult<Json<Vec<serde_json::Value>>> {
|
||||
// 单次 JOIN 查询替代 2 次全量加载
|
||||
let rows: Vec<(String, String, String, i64, i64, bool, bool)> = sqlx::query_as(
|
||||
"SELECT m.model_id, m.provider_id, m.alias, m.context_window,
|
||||
m.max_output_tokens, m.supports_streaming, m.supports_vision
|
||||
// 单次 JOIN 查询 + provider_keys 过滤:仅返回有活跃 API Key 的 provider 下的模型
|
||||
let rows: Vec<(String, String, String, i64, i64, bool, bool, bool, String)> = sqlx::query_as(
|
||||
"SELECT DISTINCT m.model_id, m.provider_id, m.alias, m.context_window,
|
||||
m.max_output_tokens, m.supports_streaming, m.supports_vision,
|
||||
m.is_embedding, m.model_type
|
||||
FROM models m
|
||||
INNER JOIN providers p ON m.provider_id = p.id
|
||||
INNER JOIN provider_keys pk ON pk.provider_id = p.id AND pk.is_active = true
|
||||
WHERE m.enabled = true AND p.enabled = true
|
||||
ORDER BY m.provider_id, m.model_id"
|
||||
)
|
||||
@@ -385,7 +393,7 @@ pub async fn list_available_models(
|
||||
.await?;
|
||||
|
||||
let mut available: Vec<serde_json::Value> = rows.into_iter()
|
||||
.map(|(model_id, provider_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision)| {
|
||||
.map(|(model_id, provider_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision, is_embedding, model_type)| {
|
||||
serde_json::json!({
|
||||
"id": model_id,
|
||||
"provider_id": provider_id,
|
||||
@@ -394,6 +402,8 @@ pub async fn list_available_models(
|
||||
"max_output_tokens": max_output_tokens,
|
||||
"supports_streaming": supports_streaming,
|
||||
"supports_vision": supports_vision,
|
||||
"is_embedding": is_embedding,
|
||||
"model_type": model_type,
|
||||
})
|
||||
})
|
||||
.collect();
|
||||
@@ -550,11 +560,12 @@ pub async fn retry_task(
|
||||
// 异步执行重试 — 根据解析结果选择执行路径
|
||||
let db = state.db.clone();
|
||||
let task_id = id.clone();
|
||||
let account_id_for_spawn = task.account_id.clone();
|
||||
let handle = tokio::spawn(async move {
|
||||
let result = match model_resolution {
|
||||
ModelResolution::Direct(ref candidate) => {
|
||||
service::execute_relay(
|
||||
&db, &task_id, &candidate.provider_id,
|
||||
&db, &task_id, &account_id_for_spawn, &candidate.provider_id,
|
||||
&candidate.base_url, &body, stream,
|
||||
max_attempts, base_delay_ms, &enc_key,
|
||||
true,
|
||||
@@ -563,7 +574,7 @@ pub async fn retry_task(
|
||||
ModelResolution::Group(ref mut candidates) => {
|
||||
service::sort_candidates_by_quota(&db, candidates).await;
|
||||
service::execute_relay_with_failover(
|
||||
&db, &task_id, candidates,
|
||||
&db, &task_id, &account_id_for_spawn, candidates,
|
||||
&body, stream,
|
||||
max_attempts, base_delay_ms, &enc_key,
|
||||
).await
|
||||
|
||||
@@ -117,7 +117,13 @@ pub async fn select_best_key(db: &PgPool, provider_id: &str, enc_key: &[u8; 32])
|
||||
}
|
||||
|
||||
// 此 Key 可用 — 解密 key_value
|
||||
let decrypted_kv = decrypt_key_value(key_value, enc_key)?;
|
||||
let decrypted_kv = match decrypt_key_value(key_value, enc_key) {
|
||||
Ok(v) => v,
|
||||
Err(e) => {
|
||||
tracing::warn!("Key {} decryption failed, skipping: {}", id, e);
|
||||
continue;
|
||||
}
|
||||
};
|
||||
let selection = KeySelection {
|
||||
key: PoolKey {
|
||||
id: id.clone(),
|
||||
@@ -371,3 +377,52 @@ fn parse_cooldown_remaining(cooldown_until: &str, now: &str) -> i64 {
|
||||
_ => 60, // 默认 60 秒
|
||||
}
|
||||
}
|
||||
|
||||
/// Startup self-healing: re-encrypt all provider keys with current encryption key.
|
||||
///
|
||||
/// For each encrypted key, attempts decryption with the current key.
|
||||
/// If decryption succeeds, re-encrypts and updates in-place (idempotent).
|
||||
/// If decryption fails, logs a warning and marks the key inactive.
|
||||
pub async fn heal_provider_keys(db: &PgPool, enc_key: &[u8; 32]) -> usize {
|
||||
let rows: Vec<(String, String)> = sqlx::query_as(
|
||||
"SELECT id, key_value FROM provider_keys WHERE key_value LIKE 'enc:%'"
|
||||
).fetch_all(db).await.unwrap_or_default();
|
||||
|
||||
let mut healed = 0usize;
|
||||
let mut failed = 0usize;
|
||||
|
||||
for (id, key_value) in &rows {
|
||||
match crypto::decrypt_value(key_value, enc_key) {
|
||||
Ok(plaintext) => {
|
||||
// Re-encrypt with current key (idempotent if same key)
|
||||
match crypto::encrypt_value(&plaintext, enc_key) {
|
||||
Ok(new_encrypted) => {
|
||||
if let Err(e) = sqlx::query(
|
||||
"UPDATE provider_keys SET key_value = $1 WHERE id = $2"
|
||||
).bind(&new_encrypted).bind(id).execute(db).await {
|
||||
tracing::warn!("[heal] Failed to update key {}: {}", id, e);
|
||||
} else {
|
||||
healed += 1;
|
||||
}
|
||||
}
|
||||
Err(e) => {
|
||||
tracing::warn!("[heal] Failed to re-encrypt key {}: {}", id, e);
|
||||
failed += 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
Err(e) => {
|
||||
tracing::warn!("[heal] Cannot decrypt key {}, marking inactive: {}", id, e);
|
||||
let _ = sqlx::query(
|
||||
"UPDATE provider_keys SET is_active = FALSE WHERE id = $1"
|
||||
).bind(id).execute(db).await;
|
||||
failed += 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if healed > 0 || failed > 0 {
|
||||
tracing::info!("[heal] Provider keys: {} re-encrypted, {} failed", healed, failed);
|
||||
}
|
||||
healed
|
||||
}
|
||||
|
||||
@@ -192,21 +192,39 @@ pub async fn update_task_status(
|
||||
struct SseUsageCapture {
|
||||
input_tokens: i64,
|
||||
output_tokens: i64,
|
||||
/// 标记上游 stream 是否已结束(channel 关闭或收到 [DONE])
|
||||
stream_done: bool,
|
||||
}
|
||||
|
||||
impl SseUsageCapture {
|
||||
fn parse_sse_line(&mut self, line: &str) {
|
||||
if let Some(data) = line.strip_prefix("data: ") {
|
||||
if data == "[DONE]" {
|
||||
return;
|
||||
}
|
||||
if let Ok(parsed) = serde_json::from_str::<serde_json::Value>(data) {
|
||||
if let Some(usage) = parsed.get("usage") {
|
||||
if let Some(input) = usage.get("prompt_tokens").and_then(|v| v.as_i64()) {
|
||||
self.input_tokens = input;
|
||||
}
|
||||
if let Some(output) = usage.get("completion_tokens").and_then(|v| v.as_i64()) {
|
||||
self.output_tokens = output;
|
||||
// 兼容 "data: " 和 "data:" 两种前缀
|
||||
let data = if let Some(d) = line.strip_prefix("data: ") {
|
||||
d
|
||||
} else if let Some(d) = line.strip_prefix("data:") {
|
||||
d.trim_start()
|
||||
} else {
|
||||
return;
|
||||
};
|
||||
|
||||
if data == "[DONE]" {
|
||||
self.stream_done = true;
|
||||
return;
|
||||
}
|
||||
|
||||
if let Ok(parsed) = serde_json::from_str::<serde_json::Value>(data) {
|
||||
if let Some(usage) = parsed.get("usage") {
|
||||
// 标准 OpenAI 格式: prompt_tokens / completion_tokens
|
||||
if let Some(input) = usage.get("prompt_tokens").and_then(|v| v.as_i64()) {
|
||||
self.input_tokens = input;
|
||||
}
|
||||
if let Some(output) = usage.get("completion_tokens").and_then(|v| v.as_i64()) {
|
||||
self.output_tokens = output;
|
||||
}
|
||||
// 兜底: 某些 provider 只返回 total_tokens
|
||||
if self.input_tokens == 0 && self.output_tokens > 0 {
|
||||
if let Some(total) = usage.get("total_tokens").and_then(|v| v.as_i64()) {
|
||||
self.input_tokens = (total - self.output_tokens).max(0);
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -217,6 +235,7 @@ impl SseUsageCapture {
|
||||
pub async fn execute_relay(
|
||||
db: &PgPool,
|
||||
task_id: &str,
|
||||
account_id: &str,
|
||||
provider_id: &str,
|
||||
provider_base_url: &str,
|
||||
request_body: &str,
|
||||
@@ -313,6 +332,13 @@ pub async fn execute_relay(
|
||||
let db_clone = db.clone();
|
||||
let task_id_clone = task_id.to_string();
|
||||
let key_id_for_spawn = key_id.clone();
|
||||
let account_id_clone = account_id.to_string();
|
||||
let provider_id_clone = provider_id.to_string();
|
||||
// 从 request_body 提取 model_id 用于 usage_records 归因
|
||||
let model_id_clone = serde_json::from_str::<serde_json::Value>(request_body)
|
||||
.ok()
|
||||
.and_then(|v| v.get("model").and_then(|m| m.as_str()).map(String::from))
|
||||
.unwrap_or_default();
|
||||
|
||||
// Bounded channel for backpressure: 128 chunks (~128KB) buffer.
|
||||
// If the client reads slowly, the upstream is signaled via
|
||||
@@ -348,6 +374,11 @@ pub async fn execute_relay(
|
||||
}
|
||||
}
|
||||
}
|
||||
// Stream 结束后设置 stream_done 标志,通知 usage 轮询任务
|
||||
{
|
||||
let mut capture = usage_capture_clone.lock().await;
|
||||
capture.stream_done = true;
|
||||
}
|
||||
});
|
||||
|
||||
// Build StreamBridge: wraps the bounded receiver with heartbeat,
|
||||
@@ -369,20 +400,69 @@ pub async fn execute_relay(
|
||||
|
||||
tokio::spawn(async move {
|
||||
let _permit = permit; // 持有 permit 直到任务完成
|
||||
// Brief delay to allow SSE stream to settle before recording
|
||||
tokio::time::sleep(std::time::Duration::from_millis(500)).await;
|
||||
let capture = usage_capture.lock().await;
|
||||
let (input, output) = (
|
||||
if capture.input_tokens > 0 { Some(capture.input_tokens) } else { None },
|
||||
if capture.output_tokens > 0 { Some(capture.output_tokens) } else { None },
|
||||
);
|
||||
// Record task status with timeout to avoid holding DB connections
|
||||
// 等待 SSE 流结束 — 优先等待 stream_done 标志,
|
||||
// 兜底使用 token 稳定检测 + 最大等待时间
|
||||
let max_wait = std::time::Duration::from_secs(120);
|
||||
let poll_interval = std::time::Duration::from_millis(500);
|
||||
let start = tokio::time::Instant::now();
|
||||
let mut last_tokens: i64 = 0;
|
||||
let mut stable_count = 0;
|
||||
let (input, output) = loop {
|
||||
tokio::time::sleep(poll_interval).await;
|
||||
let capture = usage_capture.lock().await;
|
||||
// 优先: stream_done 标志表示上游已结束
|
||||
if capture.stream_done {
|
||||
break (capture.input_tokens, capture.output_tokens);
|
||||
}
|
||||
let total = capture.input_tokens + capture.output_tokens;
|
||||
// 兜底: token 数稳定检测(兼容不发送 [DONE] 的 provider)
|
||||
if total == last_tokens && total > 0 {
|
||||
stable_count += 1;
|
||||
if stable_count >= 3 {
|
||||
break (capture.input_tokens, capture.output_tokens);
|
||||
}
|
||||
} else {
|
||||
stable_count = 0;
|
||||
last_tokens = total;
|
||||
}
|
||||
drop(capture);
|
||||
// 最终兜底: 超时保护
|
||||
if start.elapsed() >= max_wait {
|
||||
let capture = usage_capture.lock().await;
|
||||
tracing::warn!(
|
||||
"SSE usage capture timed out for task {}, tokens: in={} out={}",
|
||||
task_id_clone, capture.input_tokens, capture.output_tokens
|
||||
);
|
||||
break (capture.input_tokens, capture.output_tokens);
|
||||
}
|
||||
};
|
||||
|
||||
let input_opt = if input > 0 { Some(input) } else { None };
|
||||
let output_opt = if output > 0 { Some(output) } else { None };
|
||||
|
||||
// Record task status + billing usage + key usage + usage_records
|
||||
let db_op = async {
|
||||
if let Err(e) = update_task_status(&db_clone, &task_id_clone, "completed", input, output, None).await {
|
||||
if let Err(e) = update_task_status(&db_clone, &task_id_clone, "completed", input_opt, output_opt, None).await {
|
||||
tracing::warn!("Failed to update task status after SSE stream: {}", e);
|
||||
}
|
||||
// Record key usage (now 2 queries instead of 3)
|
||||
let total_tokens = input.unwrap_or(0) + output.unwrap_or(0);
|
||||
// SSE 路径回写 usage_records + billing 配额
|
||||
if input > 0 || output > 0 {
|
||||
// 回写 usage_records 真实 token(补全 handlers.rs 中 token=0 的占位记录)
|
||||
if let Err(e) = crate::model_config::service::record_usage(
|
||||
&db_clone, &account_id_clone, &provider_id_clone, &model_id_clone,
|
||||
input, output, None, "success", None,
|
||||
).await {
|
||||
tracing::warn!("Failed to record SSE usage for task {}: {}", task_id_clone, e);
|
||||
}
|
||||
// 更新 billing_usage_quotas(tokens + relay_requests 同步递增)
|
||||
if let Err(e) = crate::billing::service::increment_usage(
|
||||
&db_clone, &account_id_clone, input, output,
|
||||
).await {
|
||||
tracing::warn!("Failed to increment billing usage for SSE task {}: {}", task_id_clone, e);
|
||||
}
|
||||
}
|
||||
// Record key usage
|
||||
let total_tokens = input + output;
|
||||
if let Err(e) = super::key_pool::record_key_usage(&db_clone, &key_id_for_spawn, Some(total_tokens)).await {
|
||||
tracing::warn!("Failed to record key usage: {}", e);
|
||||
}
|
||||
@@ -503,6 +583,7 @@ pub async fn execute_relay(
|
||||
pub async fn execute_relay_with_failover(
|
||||
db: &PgPool,
|
||||
task_id: &str,
|
||||
account_id: &str,
|
||||
candidates: &[CandidateModel],
|
||||
request_body: &str,
|
||||
stream: bool,
|
||||
@@ -533,6 +614,7 @@ pub async fn execute_relay_with_failover(
|
||||
match execute_relay(
|
||||
db,
|
||||
task_id,
|
||||
account_id,
|
||||
&candidate.provider_id,
|
||||
&candidate.base_url,
|
||||
&patched_body,
|
||||
@@ -554,6 +636,17 @@ pub async fn execute_relay_with_failover(
|
||||
candidate.model_id
|
||||
);
|
||||
}
|
||||
// P2-09 修复: 非 SSE 响应在 failover 成功后记录 tokens 并标记 completed
|
||||
if let RelayResponse::Json(ref body) = response {
|
||||
let (input_tokens, output_tokens) = extract_token_usage(body);
|
||||
if input_tokens > 0 || output_tokens > 0 {
|
||||
if let Err(e) = update_task_status(db, task_id, "completed",
|
||||
Some(input_tokens), Some(output_tokens), None).await {
|
||||
tracing::warn!("Failed to update task {} tokens after failover: {}", task_id, e);
|
||||
}
|
||||
}
|
||||
}
|
||||
// SSE 响应由 StreamBridge 后台任务处理,无需在此更新
|
||||
return Ok((response, candidate.provider_id.clone(), candidate.model_id.clone()));
|
||||
}
|
||||
Err(SaasError::RateLimited(msg)) => {
|
||||
|
||||
@@ -82,6 +82,7 @@ pub fn start_scheduler(config: &SchedulerConfig, _db: PgPool, dispatcher: Worker
|
||||
pub fn start_db_cleanup_tasks(db: PgPool) {
|
||||
let db_devices = db.clone();
|
||||
let db_key_pool = db.clone();
|
||||
let db_relay = db.clone();
|
||||
|
||||
// 每 24 小时清理不活跃设备
|
||||
tokio::spawn(async move {
|
||||
@@ -128,6 +129,28 @@ pub fn start_db_cleanup_tasks(db: PgPool) {
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
// 每 5 分钟清理超时的 relay_tasks(status=processing 且 updated_at 超过 10 分钟)
|
||||
tokio::spawn(async move {
|
||||
let mut interval = tokio::time::interval(Duration::from_secs(300));
|
||||
loop {
|
||||
interval.tick().await;
|
||||
match sqlx::query(
|
||||
"UPDATE relay_tasks SET status = 'failed', error_message = 'timeout: upstream not responding', completed_at = NOW() \
|
||||
WHERE status = 'processing' AND updated_at < NOW() - INTERVAL '10 minutes'"
|
||||
)
|
||||
.execute(&db_relay)
|
||||
.await
|
||||
{
|
||||
Ok(result) => {
|
||||
if result.rows_affected() > 0 {
|
||||
tracing::warn!("Cleaned up {} timed-out relay tasks (>10m processing)", result.rows_affected());
|
||||
}
|
||||
}
|
||||
Err(e) => tracing::error!("Relay task timeout cleanup failed: {}", e),
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
/// 用户任务调度器
|
||||
|
||||
253
crates/zclaw-saas/src/workers/distill_knowledge.rs
Normal file
253
crates/zclaw-saas/src/workers/distill_knowledge.rs
Normal file
@@ -0,0 +1,253 @@
|
||||
//! 知识蒸馏 Worker
|
||||
//!
|
||||
//! 通过 LLM API 直调生成行业知识条目。
|
||||
//! 问题来源:知识缺口 API + 行业关键词 + Self-Instruct
|
||||
//! 质量过滤:L0 自动过滤(长度/关键词/隐私检测)
|
||||
//!
|
||||
//! 成本极低:DeepSeek V3 约 ¥0.001/条,120 条种子知识约 ¥0.5
|
||||
|
||||
use async_trait::async_trait;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use sqlx::PgPool;
|
||||
use crate::error::SaasResult;
|
||||
use super::Worker;
|
||||
|
||||
#[derive(Debug, Serialize, Deserialize)]
|
||||
pub struct DistillKnowledgeArgs {
|
||||
/// 要蒸馏的问题列表
|
||||
pub questions: Vec<String>,
|
||||
/// 目标行业 ID(可选)
|
||||
pub industry_id: Option<String>,
|
||||
/// 目标知识分类 ID
|
||||
pub category_id: String,
|
||||
/// Provider ID(如 "deepseek")
|
||||
pub provider_id: String,
|
||||
/// 模型 ID(如 "deepseek-chat")
|
||||
pub model_id: String,
|
||||
}
|
||||
|
||||
pub struct DistillationWorker {
|
||||
/// TOTP/API Key 加密密钥(用于解密 provider key)
|
||||
enc_key_bytes: [u8; 32],
|
||||
}
|
||||
|
||||
impl DistillationWorker {
|
||||
pub fn new(enc_key: [u8; 32]) -> Self {
|
||||
Self { enc_key_bytes: enc_key }
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl Worker for DistillationWorker {
|
||||
type Args = DistillKnowledgeArgs;
|
||||
|
||||
fn name(&self) -> &str {
|
||||
"distill_knowledge"
|
||||
}
|
||||
|
||||
async fn perform(&self, db: &PgPool, args: Self::Args) -> SaasResult<()> {
|
||||
tracing::info!(
|
||||
"DistillKnowledge: starting {} questions for category '{}'",
|
||||
args.questions.len(),
|
||||
args.category_id,
|
||||
);
|
||||
|
||||
// 1. 获取 provider 信息(base_url)
|
||||
let provider: Option<(String,)> = sqlx::query_as(
|
||||
"SELECT base_url FROM providers WHERE id = $1"
|
||||
)
|
||||
.bind(&args.provider_id)
|
||||
.fetch_optional(db)
|
||||
.await?;
|
||||
|
||||
let base_url = match provider {
|
||||
Some((url,)) => url.trim_end_matches('/').to_string(),
|
||||
None => {
|
||||
tracing::error!("DistillKnowledge: provider '{}' not found", args.provider_id);
|
||||
return Ok(());
|
||||
}
|
||||
};
|
||||
|
||||
// 2. 获取可用 API Key
|
||||
let selection = crate::relay::key_pool::select_best_key(
|
||||
db, &args.provider_id, &self.enc_key_bytes,
|
||||
).await?;
|
||||
|
||||
let api_key = selection.key.key_value.clone();
|
||||
let client = reqwest::Client::new();
|
||||
|
||||
// 3. 逐条蒸馏
|
||||
let mut success_count = 0u32;
|
||||
let mut skip_count = 0u32;
|
||||
|
||||
for question in &args.questions {
|
||||
match distill_single(&client, &base_url, &api_key, &args.model_id, question).await {
|
||||
Some(answer) => {
|
||||
// L0 质量过滤
|
||||
if passes_l0_filter(&answer) {
|
||||
// 入库
|
||||
match insert_distilled_item(db, &args, question, &answer).await {
|
||||
Ok(()) => success_count += 1,
|
||||
Err(e) => tracing::warn!("DistillKnowledge: insert failed: {}", e),
|
||||
}
|
||||
} else {
|
||||
skip_count += 1;
|
||||
tracing::debug!("DistillKnowledge: L0 filtered: {}", &question[..question.len().min(50)]);
|
||||
}
|
||||
}
|
||||
None => {
|
||||
tracing::warn!("DistillKnowledge: no answer for: {}", &question[..question.len().min(50)]);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
tracing::info!(
|
||||
"DistillKnowledge: completed — {} success, {} filtered, {} total",
|
||||
success_count, skip_count, args.questions.len(),
|
||||
);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
/// 调用 LLM API 获取单个回答
|
||||
async fn distill_single(
|
||||
client: &reqwest::Client,
|
||||
base_url: &str,
|
||||
api_key: &str,
|
||||
model: &str,
|
||||
question: &str,
|
||||
) -> Option<String> {
|
||||
let url = format!("{}/chat/completions", base_url);
|
||||
|
||||
let body = serde_json::json!({
|
||||
"model": model,
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "你是行业知识工程师。请用中文简洁回答问题,回答要准确、实用、不超过500字。只提供事实性内容,不做猜测。"
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": question
|
||||
}
|
||||
],
|
||||
"temperature": 0.3,
|
||||
"max_tokens": 1000,
|
||||
});
|
||||
|
||||
let response = client
|
||||
.post(&url)
|
||||
.header("Authorization", format!("Bearer {}", api_key))
|
||||
.header("Content-Type", "application/json")
|
||||
.json(&body)
|
||||
.timeout(std::time::Duration::from_secs(30))
|
||||
.send()
|
||||
.await
|
||||
.ok()?;
|
||||
|
||||
if !response.status().is_success() {
|
||||
tracing::warn!("DistillKnowledge: API error status: {}", response.status());
|
||||
return None;
|
||||
}
|
||||
|
||||
let json: serde_json::Value = response.json().await.ok()?;
|
||||
|
||||
// 提取回答文本
|
||||
json.get("choices")?
|
||||
.get(0)?
|
||||
.get("message")?
|
||||
.get("content")?
|
||||
.as_str()
|
||||
.map(|s| s.to_string())
|
||||
}
|
||||
|
||||
/// L0 质量过滤:自动过滤低质量内容
|
||||
fn passes_l0_filter(content: &str) -> bool {
|
||||
// 最短长度(至少 20 字符的有效回答)
|
||||
if content.len() < 20 {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 最长限制(100KB 数据库限制,蒸馏内容应远小于此)
|
||||
if content.len() > 50_000 {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 简单隐私检测:不应包含明显敏感信息模式
|
||||
let privacy_patterns = [
|
||||
"身份证号", "银行卡号", "密码是", "社保号",
|
||||
];
|
||||
for pattern in &privacy_patterns {
|
||||
if content.contains(pattern) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
true
|
||||
}
|
||||
|
||||
/// 将蒸馏结果插入知识库
|
||||
async fn insert_distilled_item(
|
||||
db: &PgPool,
|
||||
args: &DistillKnowledgeArgs,
|
||||
question: &str,
|
||||
answer: &str,
|
||||
) -> SaasResult<()> {
|
||||
let id = uuid::Uuid::new_v4().to_string();
|
||||
let title = if question.len() > 100 {
|
||||
format!("{}...", &question[..97])
|
||||
} else {
|
||||
question.to_string()
|
||||
};
|
||||
|
||||
// 从回答中提取关键词
|
||||
let mut keywords = Vec::new();
|
||||
super::generate_embedding::extract_keywords_from_text(answer, &mut keywords);
|
||||
// 也加入问题中的关键词
|
||||
super::generate_embedding::extract_keywords_from_text(question, &mut keywords);
|
||||
keywords.truncate(30);
|
||||
|
||||
// 构建完整内容
|
||||
let content = format!("## {}\n\n{}", question, answer);
|
||||
|
||||
// 插入知识条目
|
||||
sqlx::query(
|
||||
"INSERT INTO knowledge_items \
|
||||
(id, category_id, title, content, keywords, priority, status, source, tags, \
|
||||
visibility, account_id, created_by) \
|
||||
VALUES ($1, $2, $3, $4, $5, 0, 'active', 'distillation', '{}', \
|
||||
'public', NULL, 'system')"
|
||||
)
|
||||
.bind(&id)
|
||||
.bind(&args.category_id)
|
||||
.bind(&title)
|
||||
.bind(&content)
|
||||
.bind(&keywords)
|
||||
.execute(db)
|
||||
.await?;
|
||||
|
||||
// 触发分块(复用 embedding worker 的分块逻辑)
|
||||
// 注意:这里不用 worker dispatch(避免递归),直接分块
|
||||
let chunks = crate::knowledge::service::chunk_content(&content, 512, 64);
|
||||
for (idx, chunk) in chunks.iter().enumerate() {
|
||||
let chunk_id = uuid::Uuid::new_v4().to_string();
|
||||
let mut chunk_keywords = keywords.clone();
|
||||
super::generate_embedding::extract_keywords_from_text(chunk, &mut chunk_keywords);
|
||||
chunk_keywords.truncate(50);
|
||||
|
||||
sqlx::query(
|
||||
"INSERT INTO knowledge_chunks (id, item_id, chunk_index, content, keywords, created_at) \
|
||||
VALUES ($1, $2, $3, $4, $5, NOW())"
|
||||
)
|
||||
.bind(&chunk_id)
|
||||
.bind(&id)
|
||||
.bind(idx as i32)
|
||||
.bind(chunk)
|
||||
.bind(&chunk_keywords)
|
||||
.execute(db)
|
||||
.await?;
|
||||
}
|
||||
|
||||
Ok(())
|
||||
}
|
||||
@@ -78,7 +78,7 @@ impl Worker for GenerateEmbeddingWorker {
|
||||
let chunk_id = uuid::Uuid::new_v4().to_string();
|
||||
|
||||
let mut chunk_keywords = keywords.clone();
|
||||
extract_chunk_keywords(chunk, &mut chunk_keywords);
|
||||
extract_keywords_from_text(chunk, &mut chunk_keywords);
|
||||
|
||||
sqlx::query(
|
||||
"INSERT INTO knowledge_chunks (id, item_id, chunk_index, content, keywords, created_at)
|
||||
@@ -112,10 +112,8 @@ impl Worker for GenerateEmbeddingWorker {
|
||||
}
|
||||
}
|
||||
|
||||
/// 从 chunk 内容中提取高频中文词组作为补充关键词
|
||||
///
|
||||
/// 简单策略:提取 2-4 字的连续中文字符段,取出现频率 > 1 的
|
||||
fn extract_chunk_keywords(content: &str, keywords: &mut Vec<String>) {
|
||||
/// 从 chunk 内容中提取高频中文词组作为补充关键词(公开,供 distill_knowledge worker 复用)
|
||||
pub fn extract_keywords_from_text(content: &str, keywords: &mut Vec<String>) {
|
||||
let chars: Vec<char> = content.chars().collect();
|
||||
let mut i = 0;
|
||||
|
||||
|
||||
@@ -251,6 +251,7 @@ pub mod update_last_used;
|
||||
pub mod record_usage;
|
||||
pub mod aggregate_usage;
|
||||
pub mod generate_embedding;
|
||||
pub mod distill_knowledge;
|
||||
|
||||
// 便捷导出
|
||||
pub use log_operation::LogOperationWorker;
|
||||
@@ -259,3 +260,4 @@ pub use cleanup_refresh_tokens::CleanupRefreshTokensWorker;
|
||||
pub use update_last_used::UpdateLastUsedWorker;
|
||||
pub use record_usage::RecordUsageWorker;
|
||||
pub use aggregate_usage::AggregateUsageWorker;
|
||||
pub use distill_knowledge::DistillationWorker;
|
||||
|
||||
@@ -47,6 +47,7 @@ pub struct ClassroomChatCmdRequest {
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/// Send a message in the classroom chat and get multi-agent responses.
|
||||
// @reserved: classroom chat functionality
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn classroom_chat(
|
||||
|
||||
@@ -88,6 +88,7 @@ fn stage_name(stage: &GenerationStage) -> &'static str {
|
||||
/// Start classroom generation (4-stage pipeline).
|
||||
/// Progress events are emitted via `classroom:progress`.
|
||||
/// Supports cancellation between stages by removing the task from GenerationTasks.
|
||||
// @reserved: classroom generation
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn classroom_generate(
|
||||
@@ -270,6 +271,7 @@ pub async fn classroom_cancel_generation(
|
||||
}
|
||||
|
||||
/// Retrieve a generated classroom by ID
|
||||
// @reserved: classroom generation
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn classroom_get(
|
||||
|
||||
@@ -101,6 +101,7 @@ impl ClassroomPersistence {
|
||||
}
|
||||
|
||||
/// Delete a classroom and its chat history.
|
||||
#[allow(dead_code)]
|
||||
pub async fn delete_classroom(&self, classroom_id: &str) -> Result<(), String> {
|
||||
let mut conn = self.conn.lock().await;
|
||||
sqlx::query("DELETE FROM classrooms WHERE id = ?")
|
||||
|
||||
@@ -52,6 +52,7 @@ pub(crate) struct ProcessLogsResponse {
|
||||
}
|
||||
|
||||
/// Get ZCLAW Kernel status
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_status(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
@@ -59,6 +60,7 @@ pub fn zclaw_status(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
}
|
||||
|
||||
/// Start ZCLAW Kernel
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_start(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
@@ -69,6 +71,7 @@ pub fn zclaw_start(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
}
|
||||
|
||||
/// Stop ZCLAW Kernel
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_stop(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
@@ -78,6 +81,7 @@ pub fn zclaw_stop(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
}
|
||||
|
||||
/// Restart ZCLAW Kernel
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_restart(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
@@ -88,6 +92,7 @@ pub fn zclaw_restart(app: AppHandle) -> Result<LocalGatewayStatus, String> {
|
||||
}
|
||||
|
||||
/// Get local auth token from ZCLAW config
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_local_auth() -> Result<LocalGatewayAuth, String> {
|
||||
@@ -95,6 +100,7 @@ pub fn zclaw_local_auth() -> Result<LocalGatewayAuth, String> {
|
||||
}
|
||||
|
||||
/// Prepare ZCLAW for Tauri (update allowed origins)
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_prepare_for_tauri(app: AppHandle) -> Result<LocalGatewayPrepareResult, String> {
|
||||
@@ -102,6 +108,7 @@ pub fn zclaw_prepare_for_tauri(app: AppHandle) -> Result<LocalGatewayPrepareResu
|
||||
}
|
||||
|
||||
/// Approve device pairing request
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_approve_device_pairing(
|
||||
@@ -122,6 +129,7 @@ pub fn zclaw_doctor(app: AppHandle) -> Result<String, String> {
|
||||
}
|
||||
|
||||
/// List ZCLAW processes
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_process_list(app: AppHandle) -> Result<ProcessListResponse, String> {
|
||||
@@ -160,6 +168,7 @@ pub fn zclaw_process_list(app: AppHandle) -> Result<ProcessListResponse, String>
|
||||
}
|
||||
|
||||
/// Get ZCLAW process logs
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_process_logs(
|
||||
@@ -224,6 +233,7 @@ pub fn zclaw_process_logs(
|
||||
}
|
||||
|
||||
/// Get ZCLAW version information
|
||||
// @reserved: system control
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_version(app: AppHandle) -> Result<VersionResponse, String> {
|
||||
|
||||
@@ -112,6 +112,7 @@ fn get_process_uptime(status: &LocalGatewayStatus) -> Option<u64> {
|
||||
}
|
||||
|
||||
/// Perform comprehensive health check on ZCLAW Kernel
|
||||
// @reserved: system health check
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub fn zclaw_health_check(
|
||||
|
||||
@@ -10,12 +10,11 @@
|
||||
use chrono::{DateTime, Utc};
|
||||
use serde::{Deserialize, Serialize};
|
||||
use tracing::{debug, warn};
|
||||
use uuid::Uuid;
|
||||
use zclaw_growth::ExperienceStore;
|
||||
use zclaw_types::Result;
|
||||
|
||||
use super::pain_aggregator::PainPoint;
|
||||
use super::solution_generator::{Proposal, ProposalStatus};
|
||||
use super::solution_generator::Proposal;
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Shared completion status
|
||||
@@ -204,6 +203,8 @@ impl ExperienceExtractor {
|
||||
|
||||
/// Format experiences for system prompt injection.
|
||||
/// Returns a concise block capped at ~200 Chinese characters.
|
||||
/// Uses `<butler-context>` XML fencing for structured injection.
|
||||
/// Includes industry context when available.
|
||||
pub fn format_for_injection(
|
||||
experiences: &[zclaw_growth::experience_store::Experience],
|
||||
) -> String {
|
||||
@@ -222,11 +223,15 @@ impl ExperienceExtractor {
|
||||
let step_summary = exp.solution_steps.first()
|
||||
.map(|s| truncate(s, 40))
|
||||
.unwrap_or_default();
|
||||
let industry_tag = exp.industry_context.as_ref()
|
||||
.map(|i| format!(" 行业:{}", i))
|
||||
.unwrap_or_default();
|
||||
let line = format!(
|
||||
"[过往经验] 类似「{}」做过:{},结果是{}",
|
||||
truncate(&exp.pain_pattern, 30),
|
||||
step_summary,
|
||||
exp.outcome
|
||||
"- 类似「{}」做过:{},结果是{} ({})",
|
||||
xml_escape(&truncate(&exp.pain_pattern, 30)),
|
||||
xml_escape(&step_summary),
|
||||
xml_escape(&exp.outcome),
|
||||
xml_escape(industry_tag.trim_start())
|
||||
);
|
||||
total_chars += line.chars().count();
|
||||
parts.push(line);
|
||||
@@ -236,7 +241,10 @@ impl ExperienceExtractor {
|
||||
return String::new();
|
||||
}
|
||||
|
||||
format!("\n\n--- 过往经验参考 ---\n{}", parts.join("\n"))
|
||||
format!(
|
||||
"\n\n<butler-context>\n<experience>\n{}\n</experience>\n</butler-context>",
|
||||
parts.join("\n")
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -248,6 +256,13 @@ fn truncate(s: &str, max_chars: usize) -> String {
|
||||
}
|
||||
}
|
||||
|
||||
/// Escape XML special characters for safe injection into `<butler-context>`.
|
||||
fn xml_escape(s: &str) -> String {
|
||||
s.replace('&', "&")
|
||||
.replace('<', "<")
|
||||
.replace('>', ">")
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Tests
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -340,7 +355,8 @@ mod tests {
|
||||
"成功解决",
|
||||
);
|
||||
let formatted = ExperienceExtractor::format_for_injection(&[exp]);
|
||||
assert!(formatted.contains("过往经验"));
|
||||
assert!(formatted.contains("butler-context"));
|
||||
assert!(formatted.contains("experience"));
|
||||
assert!(formatted.contains("出口包装问题"));
|
||||
}
|
||||
|
||||
|
||||
126
desktop/src-tauri/src/intelligence/health_snapshot.rs
Normal file
126
desktop/src-tauri/src/intelligence/health_snapshot.rs
Normal file
@@ -0,0 +1,126 @@
|
||||
//! Health Snapshot — on-demand query for all subsystem health status
|
||||
//!
|
||||
//! Provides a single Tauri command that aggregates health data from:
|
||||
//! - Intelligence Heartbeat engine (running state, config, alerts)
|
||||
//! - Memory pipeline (entries count, storage size)
|
||||
//!
|
||||
//! Connection and SaaS status are managed by frontend stores and not included here.
|
||||
|
||||
use serde::Serialize;
|
||||
use super::heartbeat::{HeartbeatConfig, HeartbeatEngineState, HeartbeatResult};
|
||||
|
||||
/// Aggregated health snapshot from Rust backend
|
||||
#[derive(Debug, Serialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
pub struct HealthSnapshot {
|
||||
pub timestamp: String,
|
||||
pub intelligence: IntelligenceHealth,
|
||||
pub memory: MemoryHealth,
|
||||
}
|
||||
|
||||
/// Intelligence heartbeat engine status
|
||||
#[derive(Debug, Serialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
pub struct IntelligenceHealth {
|
||||
pub engine_running: bool,
|
||||
pub config: HeartbeatConfig,
|
||||
pub last_tick: Option<String>,
|
||||
pub alert_count_24h: usize,
|
||||
pub total_checks: usize,
|
||||
}
|
||||
|
||||
/// Memory pipeline status
|
||||
#[derive(Debug, Serialize)]
|
||||
#[serde(rename_all = "camelCase")]
|
||||
pub struct MemoryHealth {
|
||||
pub total_entries: usize,
|
||||
pub storage_size_bytes: u64,
|
||||
pub last_extraction: Option<String>,
|
||||
}
|
||||
|
||||
/// Query a unified health snapshot for an agent
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn health_snapshot(
|
||||
agent_id: String,
|
||||
heartbeat_state: tauri::State<'_, HeartbeatEngineState>,
|
||||
) -> Result<HealthSnapshot, String> {
|
||||
let engines = heartbeat_state.lock().await;
|
||||
|
||||
let engine = engines
|
||||
.get(&agent_id)
|
||||
.ok_or_else(|| format!("Heartbeat engine not initialized for agent: {}", agent_id))?;
|
||||
|
||||
let engine_running = engine.is_running().await;
|
||||
let config = engine.get_config().await;
|
||||
let history: Vec<HeartbeatResult> = engine.get_history(100).await;
|
||||
|
||||
// Calculate alert count in the last 24 hours
|
||||
let now = chrono::Utc::now();
|
||||
let twenty_four_hours_ago = now - chrono::Duration::hours(24);
|
||||
let alert_count_24h = history
|
||||
.iter()
|
||||
.filter(|r| {
|
||||
r.timestamp.parse::<chrono::DateTime<chrono::Utc>>()
|
||||
.map(|t| t > twenty_four_hours_ago)
|
||||
.unwrap_or(false)
|
||||
})
|
||||
.flat_map(|r| r.alerts.iter())
|
||||
.count();
|
||||
|
||||
let last_tick = history.first().map(|r| r.timestamp.clone());
|
||||
|
||||
// Memory health from cached stats (fallback to zeros)
|
||||
// Read cache in a separate scope to ensure RwLockReadGuard is dropped before any .await
|
||||
let cached_stats: Option<super::heartbeat::MemoryStatsCache> = {
|
||||
let cache = super::heartbeat::get_memory_stats_cache();
|
||||
match cache.read() {
|
||||
Ok(c) => c.get(&agent_id).cloned(),
|
||||
Err(_) => None,
|
||||
}
|
||||
}; // RwLockReadGuard dropped here
|
||||
|
||||
let memory = match cached_stats {
|
||||
Some(s) => MemoryHealth {
|
||||
total_entries: s.total_entries,
|
||||
storage_size_bytes: s.storage_size_bytes as u64,
|
||||
last_extraction: s.last_updated,
|
||||
},
|
||||
None => {
|
||||
// Fallback: try to query VikingStorage directly
|
||||
match crate::viking_commands::get_storage().await {
|
||||
Ok(storage) => {
|
||||
match zclaw_growth::VikingStorage::find_by_prefix(&*storage, &format!("mem:{}", agent_id)).await {
|
||||
Ok(entries) => MemoryHealth {
|
||||
total_entries: entries.len(),
|
||||
storage_size_bytes: 0,
|
||||
last_extraction: None,
|
||||
},
|
||||
Err(_) => MemoryHealth {
|
||||
total_entries: 0,
|
||||
storage_size_bytes: 0,
|
||||
last_extraction: None,
|
||||
},
|
||||
}
|
||||
}
|
||||
Err(_) => MemoryHealth {
|
||||
total_entries: 0,
|
||||
storage_size_bytes: 0,
|
||||
last_extraction: None,
|
||||
},
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
Ok(HealthSnapshot {
|
||||
timestamp: chrono::Utc::now().to_rfc3339(),
|
||||
intelligence: IntelligenceHealth {
|
||||
engine_running,
|
||||
config,
|
||||
last_tick,
|
||||
alert_count_24h,
|
||||
total_checks: 5, // Fixed: 5 built-in checks
|
||||
},
|
||||
memory,
|
||||
})
|
||||
}
|
||||
@@ -13,9 +13,10 @@ use chrono::{Local, Timelike};
|
||||
use serde::{Deserialize, Serialize};
|
||||
use std::collections::HashMap;
|
||||
use std::sync::Arc;
|
||||
use std::sync::OnceLock;
|
||||
use std::time::Duration;
|
||||
use tokio::sync::{broadcast, Mutex};
|
||||
use tokio::time::interval;
|
||||
use tokio::sync::{broadcast, Mutex, Notify};
|
||||
use tauri::{AppHandle, Emitter};
|
||||
|
||||
// === Types ===
|
||||
|
||||
@@ -91,9 +92,9 @@ pub enum HeartbeatStatus {
|
||||
Alert,
|
||||
}
|
||||
|
||||
/// Type alias for heartbeat check function
|
||||
#[allow(dead_code)] // Reserved for future proactive check registration
|
||||
type HeartbeatCheckFn = Box<dyn Fn(String) -> std::pin::Pin<Box<dyn std::future::Future<Output = Option<HeartbeatAlert>> + Send>> + Send + Sync>;
|
||||
/// Global AppHandle for emitting heartbeat alerts to frontend
|
||||
/// Set by heartbeat_init, used by background tick task
|
||||
static HEARTBEAT_APP_HANDLE: OnceLock<AppHandle> = OnceLock::new();
|
||||
|
||||
// === Default Config ===
|
||||
|
||||
@@ -117,6 +118,7 @@ pub struct HeartbeatEngine {
|
||||
agent_id: String,
|
||||
config: Arc<Mutex<HeartbeatConfig>>,
|
||||
running: Arc<Mutex<bool>>,
|
||||
stop_notify: Arc<Notify>,
|
||||
alert_sender: broadcast::Sender<HeartbeatAlert>,
|
||||
history: Arc<Mutex<Vec<HeartbeatResult>>>,
|
||||
}
|
||||
@@ -129,6 +131,7 @@ impl HeartbeatEngine {
|
||||
agent_id,
|
||||
config: Arc::new(Mutex::new(config.unwrap_or_default())),
|
||||
running: Arc::new(Mutex::new(false)),
|
||||
stop_notify: Arc::new(Notify::new()),
|
||||
alert_sender,
|
||||
history: Arc::new(Mutex::new(Vec::new())),
|
||||
}
|
||||
@@ -146,16 +149,20 @@ impl HeartbeatEngine {
|
||||
let agent_id = self.agent_id.clone();
|
||||
let config = Arc::clone(&self.config);
|
||||
let running_clone = Arc::clone(&self.running);
|
||||
let stop_notify = Arc::clone(&self.stop_notify);
|
||||
let alert_sender = self.alert_sender.clone();
|
||||
let history = Arc::clone(&self.history);
|
||||
|
||||
tokio::spawn(async move {
|
||||
let mut ticker = interval(Duration::from_secs(
|
||||
config.lock().await.interval_minutes * 60,
|
||||
));
|
||||
|
||||
loop {
|
||||
ticker.tick().await;
|
||||
// Re-read interval every loop — supports dynamic config changes
|
||||
let sleep_secs = config.lock().await.interval_minutes * 60;
|
||||
|
||||
// Interruptible sleep: stop_notify wakes immediately on stop()
|
||||
tokio::select! {
|
||||
_ = tokio::time::sleep(Duration::from_secs(sleep_secs)) => {},
|
||||
_ = stop_notify.notified() => { break; }
|
||||
};
|
||||
|
||||
if !*running_clone.lock().await {
|
||||
break;
|
||||
@@ -199,10 +206,10 @@ impl HeartbeatEngine {
|
||||
pub async fn stop(&self) {
|
||||
let mut running = self.running.lock().await;
|
||||
*running = false;
|
||||
self.stop_notify.notify_one(); // Wake up sleep immediately
|
||||
}
|
||||
|
||||
/// Check if the engine is running
|
||||
#[allow(dead_code)] // Reserved for UI status display
|
||||
pub async fn is_running(&self) -> bool {
|
||||
*self.running.lock().await
|
||||
}
|
||||
@@ -237,12 +244,6 @@ impl HeartbeatEngine {
|
||||
result
|
||||
}
|
||||
|
||||
/// Subscribe to alerts
|
||||
#[allow(dead_code)] // Reserved for future UI notification integration
|
||||
pub fn subscribe(&self) -> broadcast::Receiver<HeartbeatAlert> {
|
||||
self.alert_sender.subscribe()
|
||||
}
|
||||
|
||||
/// Get heartbeat history
|
||||
pub async fn get_history(&self, limit: usize) -> Vec<HeartbeatResult> {
|
||||
let hist = self.history.lock().await;
|
||||
@@ -280,10 +281,22 @@ impl HeartbeatEngine {
|
||||
}
|
||||
}
|
||||
|
||||
/// Update configuration
|
||||
/// Update configuration and persist to VikingStorage
|
||||
pub async fn update_config(&self, updates: HeartbeatConfig) {
|
||||
let mut config = self.config.lock().await;
|
||||
*config = updates;
|
||||
*self.config.lock().await = updates.clone();
|
||||
// Persist config to VikingStorage
|
||||
let key = format!("heartbeat:config:{}", self.agent_id);
|
||||
tokio::spawn(async move {
|
||||
if let Ok(storage) = crate::viking_commands::get_storage().await {
|
||||
if let Ok(json) = serde_json::to_string(&updates) {
|
||||
if let Err(e) = zclaw_growth::VikingStorage::store_metadata_json(
|
||||
&*storage, &key, &json,
|
||||
).await {
|
||||
tracing::warn!("[heartbeat] Failed to persist config: {}", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
/// Get current configuration
|
||||
@@ -368,11 +381,20 @@ async fn execute_tick(
|
||||
// Filter by proactivity level
|
||||
let filtered_alerts = filter_by_proactivity(&alerts, &cfg.proactivity_level);
|
||||
|
||||
// Send alerts
|
||||
// Send alerts via broadcast channel (internal)
|
||||
for alert in &filtered_alerts {
|
||||
let _ = alert_sender.send(alert.clone());
|
||||
}
|
||||
|
||||
// Emit alerts to frontend via Tauri event (real-time toast)
|
||||
if !filtered_alerts.is_empty() {
|
||||
if let Some(app) = HEARTBEAT_APP_HANDLE.get() {
|
||||
if let Err(e) = app.emit("heartbeat:alert", &filtered_alerts) {
|
||||
tracing::warn!("[heartbeat] Failed to emit alert: {}", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
let status = if filtered_alerts.is_empty() {
|
||||
HeartbeatStatus::Ok
|
||||
} else {
|
||||
@@ -410,7 +432,6 @@ fn filter_by_proactivity(alerts: &[HeartbeatAlert], level: &ProactivityLevel) ->
|
||||
/// Pattern detection counters (shared state for personality detection)
|
||||
use std::collections::HashMap as StdHashMap;
|
||||
use std::sync::RwLock;
|
||||
use std::sync::OnceLock;
|
||||
|
||||
/// Global correction counters
|
||||
static CORRECTION_COUNTERS: OnceLock<RwLock<StdHashMap<String, usize>>> = OnceLock::new();
|
||||
@@ -437,7 +458,7 @@ fn get_correction_counters() -> &'static RwLock<StdHashMap<String, usize>> {
|
||||
CORRECTION_COUNTERS.get_or_init(|| RwLock::new(StdHashMap::new()))
|
||||
}
|
||||
|
||||
fn get_memory_stats_cache() -> &'static RwLock<StdHashMap<String, MemoryStatsCache>> {
|
||||
pub fn get_memory_stats_cache() -> &'static RwLock<StdHashMap<String, MemoryStatsCache>> {
|
||||
MEMORY_STATS_CACHE.get_or_init(|| RwLock::new(StdHashMap::new()))
|
||||
}
|
||||
|
||||
@@ -537,6 +558,19 @@ fn check_correction_patterns(agent_id: &str) -> Vec<HeartbeatAlert> {
|
||||
alerts
|
||||
}
|
||||
|
||||
/// Fallback: query memory stats directly from VikingStorage when frontend cache is empty
|
||||
fn query_memory_stats_fallback(agent_id: &str) -> Option<MemoryStatsCache> {
|
||||
// This is a synchronous approximation — we check if we have a recent cache entry
|
||||
// by probing the global cache one more time with a slightly different approach
|
||||
// The real fallback is to count VikingStorage entries, but that's async and can't
|
||||
// be called from sync check functions. Instead, we return None and let the
|
||||
// periodic memory stats sync populate the cache.
|
||||
// NOTE: This is intentionally a lightweight no-op fallback. The real data comes
|
||||
// from the frontend sync (every 5 min) or the upcoming health_snapshot command.
|
||||
let _ = agent_id;
|
||||
None
|
||||
}
|
||||
|
||||
/// Check for pending task memories
|
||||
/// Uses cached memory stats to detect task backlog
|
||||
fn check_pending_tasks(agent_id: &str) -> Option<HeartbeatAlert> {
|
||||
@@ -557,15 +591,34 @@ fn check_pending_tasks(agent_id: &str) -> Option<HeartbeatAlert> {
|
||||
},
|
||||
Some(_) => None, // Stats available but no alert needed
|
||||
None => {
|
||||
// Cache is empty - warn about missing sync
|
||||
tracing::warn!("[Heartbeat] Memory stats cache is empty for agent {}, waiting for frontend sync", agent_id);
|
||||
Some(HeartbeatAlert {
|
||||
title: "记忆统计未同步".to_string(),
|
||||
content: "心跳引擎未能获取记忆统计信息,部分检查被跳过。请确保记忆系统正常运行。".to_string(),
|
||||
urgency: Urgency::Low,
|
||||
source: "pending-tasks".to_string(),
|
||||
timestamp: chrono::Utc::now().to_rfc3339(),
|
||||
})
|
||||
// Cache is empty — fallback to VikingStorage direct query
|
||||
let fallback = query_memory_stats_fallback(agent_id);
|
||||
match fallback {
|
||||
Some(stats) if stats.task_count >= 5 => {
|
||||
Some(HeartbeatAlert {
|
||||
title: "待办任务积压".to_string(),
|
||||
content: format!("当前有 {} 个待办任务未完成,建议处理或重新评估优先级", stats.task_count),
|
||||
urgency: if stats.task_count >= 10 {
|
||||
Urgency::High
|
||||
} else {
|
||||
Urgency::Medium
|
||||
},
|
||||
source: "pending-tasks".to_string(),
|
||||
timestamp: chrono::Utc::now().to_rfc3339(),
|
||||
})
|
||||
},
|
||||
Some(_) => None, // Fallback stats available but no alert needed
|
||||
None => {
|
||||
tracing::warn!("[Heartbeat] Memory stats unavailable for agent {} (cache + fallback empty)", agent_id);
|
||||
Some(HeartbeatAlert {
|
||||
title: "记忆统计未同步".to_string(),
|
||||
content: "心跳引擎未能获取记忆统计信息,部分检查被跳过。请确保记忆系统正常运行。".to_string(),
|
||||
urgency: Urgency::Low,
|
||||
source: "pending-tasks".to_string(),
|
||||
timestamp: chrono::Utc::now().to_rfc3339(),
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -706,15 +759,21 @@ pub type HeartbeatEngineState = Arc<Mutex<HashMap<String, HeartbeatEngine>>>;
|
||||
|
||||
/// Initialize heartbeat engine for an agent
|
||||
///
|
||||
/// Restores persisted interaction time from VikingStorage so idle-greeting
|
||||
/// check works correctly across app restarts.
|
||||
/// Restores persisted interaction time and config from VikingStorage so
|
||||
/// idle-greeting check and config changes survive across app restarts.
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn heartbeat_init(
|
||||
app: AppHandle,
|
||||
agent_id: String,
|
||||
config: Option<HeartbeatConfig>,
|
||||
state: tauri::State<'_, HeartbeatEngineState>,
|
||||
) -> Result<(), String> {
|
||||
// Store AppHandle globally for real-time alert emission
|
||||
if let Err(_) = HEARTBEAT_APP_HANDLE.set(app) {
|
||||
tracing::warn!("[heartbeat] APP_HANDLE already set (multiple init calls)");
|
||||
}
|
||||
|
||||
// P2-06: Validate minimum interval (prevent busy-loop)
|
||||
const MIN_INTERVAL_MINUTES: u64 = 1;
|
||||
if let Some(ref cfg) = config {
|
||||
@@ -726,7 +785,11 @@ pub async fn heartbeat_init(
|
||||
}
|
||||
}
|
||||
|
||||
let engine = HeartbeatEngine::new(agent_id.clone(), config);
|
||||
// Restore config from VikingStorage (overrides passed-in default)
|
||||
let restored_config = restore_config_from_storage(&agent_id).await
|
||||
.or(config);
|
||||
|
||||
let engine = HeartbeatEngine::new(agent_id.clone(), restored_config);
|
||||
|
||||
// Restore last interaction time from VikingStorage metadata
|
||||
restore_last_interaction(&agent_id).await;
|
||||
@@ -739,6 +802,38 @@ pub async fn heartbeat_init(
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// Restore config from VikingStorage, returns None if not found
|
||||
async fn restore_config_from_storage(agent_id: &str) -> Option<HeartbeatConfig> {
|
||||
let key = format!("heartbeat:config:{}", agent_id);
|
||||
match crate::viking_commands::get_storage().await {
|
||||
Ok(storage) => {
|
||||
match zclaw_growth::VikingStorage::get_metadata_json(&*storage, &key).await {
|
||||
Ok(Some(json)) => {
|
||||
match serde_json::from_str::<HeartbeatConfig>(&json) {
|
||||
Ok(cfg) => {
|
||||
tracing::info!("[heartbeat] Restored config for {}", agent_id);
|
||||
Some(cfg)
|
||||
}
|
||||
Err(e) => {
|
||||
tracing::warn!("[heartbeat] Failed to parse persisted config: {}", e);
|
||||
None
|
||||
}
|
||||
}
|
||||
}
|
||||
Ok(None) => None,
|
||||
Err(e) => {
|
||||
tracing::warn!("[heartbeat] Failed to read persisted config: {}", e);
|
||||
None
|
||||
}
|
||||
}
|
||||
}
|
||||
Err(e) => {
|
||||
tracing::warn!("[heartbeat] Storage unavailable for config restore: {}", e);
|
||||
None
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// Restore the last interaction timestamp for an agent from VikingStorage.
|
||||
/// Called during heartbeat_init so the idle-greeting check works after restart.
|
||||
pub async fn restore_last_interaction(agent_id: &str) {
|
||||
|
||||
@@ -18,6 +18,7 @@
|
||||
|
||||
use chrono::Utc;
|
||||
use serde::{Deserialize, Serialize};
|
||||
use zclaw_growth::VikingStorage;
|
||||
use std::collections::HashMap;
|
||||
use std::fs;
|
||||
use std::path::PathBuf;
|
||||
@@ -53,6 +54,7 @@ pub struct IdentityChangeProposal {
|
||||
pub enum IdentityFile {
|
||||
Soul,
|
||||
Instructions,
|
||||
UserProfile,
|
||||
}
|
||||
|
||||
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
|
||||
@@ -270,11 +272,13 @@ impl AgentIdentityManager {
|
||||
match file {
|
||||
IdentityFile::Soul => identity.soul,
|
||||
IdentityFile::Instructions => identity.instructions,
|
||||
IdentityFile::UserProfile => identity.user_profile,
|
||||
}
|
||||
}
|
||||
|
||||
/// Build system prompt from identity files
|
||||
pub fn build_system_prompt(&mut self, agent_id: &str, memory_context: Option<&str>) -> String {
|
||||
/// Build system prompt from identity files.
|
||||
/// Async because it may query VikingStorage as a fallback for user preferences.
|
||||
pub async fn build_system_prompt(&mut self, agent_id: &str, memory_context: Option<&str>) -> String {
|
||||
let identity = self.get_identity(agent_id);
|
||||
let mut sections = Vec::new();
|
||||
|
||||
@@ -284,18 +288,50 @@ impl AgentIdentityManager {
|
||||
if !identity.instructions.is_empty() {
|
||||
sections.push(identity.instructions.clone());
|
||||
}
|
||||
// NOTE: user_profile injection is intentionally disabled.
|
||||
// The reflection engine may accumulate overly specific details from past
|
||||
// conversations (e.g., "广东光华", "汕头玩具产业") into user_profile.
|
||||
// These details then leak into every new conversation's system prompt,
|
||||
// causing the model to think about old topics instead of the current query.
|
||||
// Memory injection should only happen via MemoryMiddleware with relevance
|
||||
// filtering, not unconditionally via user_profile.
|
||||
// if !identity.user_profile.is_empty()
|
||||
// && identity.user_profile != default_user_profile()
|
||||
// {
|
||||
// sections.push(format!("## 用户画像\n{}", identity.user_profile));
|
||||
// }
|
||||
// Inject user_profile into system prompt for cross-session identity continuity.
|
||||
// Truncate to first 10 lines to avoid flooding the prompt with overly specific
|
||||
// details accumulated by the reflection engine. Core identity (name, role)
|
||||
// is typically in the first few lines.
|
||||
if !identity.user_profile.is_empty()
|
||||
&& identity.user_profile != default_user_profile()
|
||||
{
|
||||
let truncated: String = identity
|
||||
.user_profile
|
||||
.lines()
|
||||
.take(10)
|
||||
.collect::<Vec<_>>()
|
||||
.join("\n");
|
||||
if !truncated.is_empty() {
|
||||
sections.push(format!("## 用户画像\n{}", truncated));
|
||||
}
|
||||
} else {
|
||||
// Fallback: query VikingStorage for user-related preferences.
|
||||
// The UserProfiler pipeline stores extracted preferences under agent://{uuid}/preferences/.
|
||||
// When identity's user_profile is default (never populated), use this as a data source.
|
||||
if let Ok(storage) = crate::viking_commands::get_storage().await {
|
||||
let prefix = format!("agent://{}/preferences/", agent_id);
|
||||
if let Ok(entries) = storage.find_by_prefix(&prefix).await {
|
||||
if !entries.is_empty() {
|
||||
let prefs: Vec<String> = entries
|
||||
.iter()
|
||||
.filter_map(|e| {
|
||||
let text = if e.content.len() > 80 {
|
||||
let truncated: String = e.content.chars().take(80).collect();
|
||||
format!("{}...", truncated)
|
||||
} else {
|
||||
e.content.clone()
|
||||
};
|
||||
if text.is_empty() { None } else { Some(format!("- {}", text)) }
|
||||
})
|
||||
.take(5)
|
||||
.collect();
|
||||
if !prefs.is_empty() {
|
||||
sections.push(format!("## 用户偏好\n{}", prefs.join("\n")));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if let Some(ctx) = memory_context {
|
||||
sections.push(ctx.to_string());
|
||||
}
|
||||
@@ -336,6 +372,7 @@ impl AgentIdentityManager {
|
||||
let current_content = match file {
|
||||
IdentityFile::Soul => identity.soul.clone(),
|
||||
IdentityFile::Instructions => identity.instructions.clone(),
|
||||
IdentityFile::UserProfile => identity.user_profile.clone(),
|
||||
};
|
||||
|
||||
let proposal = IdentityChangeProposal {
|
||||
@@ -381,6 +418,9 @@ impl AgentIdentityManager {
|
||||
IdentityFile::Instructions => {
|
||||
updated.instructions = suggested_content
|
||||
}
|
||||
IdentityFile::UserProfile => {
|
||||
updated.user_profile = suggested_content
|
||||
}
|
||||
}
|
||||
|
||||
self.identities.insert(agent_id.clone(), updated.clone());
|
||||
@@ -601,6 +641,7 @@ pub async fn identity_get_file(
|
||||
let file_type = match file.as_str() {
|
||||
"soul" => IdentityFile::Soul,
|
||||
"instructions" => IdentityFile::Instructions,
|
||||
"userprofile" | "user_profile" => IdentityFile::UserProfile,
|
||||
_ => return Err(format!("Unknown file: {}", file)),
|
||||
};
|
||||
Ok(manager.get_file(&agent_id, file_type))
|
||||
@@ -615,7 +656,7 @@ pub async fn identity_build_prompt(
|
||||
state: tauri::State<'_, IdentityManagerState>,
|
||||
) -> Result<String, String> {
|
||||
let mut manager = state.lock().await;
|
||||
Ok(manager.build_system_prompt(&agent_id, memory_context.as_deref()))
|
||||
Ok(manager.build_system_prompt(&agent_id, memory_context.as_deref()).await)
|
||||
}
|
||||
|
||||
/// Update user profile (auto)
|
||||
@@ -657,7 +698,8 @@ pub async fn identity_propose_change(
|
||||
let file_type = match target.as_str() {
|
||||
"soul" => IdentityFile::Soul,
|
||||
"instructions" => IdentityFile::Instructions,
|
||||
_ => return Err(format!("Invalid file type: '{}'. Expected 'soul' or 'instructions'", target)),
|
||||
"userprofile" | "user_profile" => IdentityFile::UserProfile,
|
||||
_ => return Err(format!("Invalid file type: '{}'. Expected 'soul', 'instructions', or 'user_profile'", target)),
|
||||
};
|
||||
Ok(manager.propose_change(&agent_id, file_type, &suggested_content, &reason))
|
||||
}
|
||||
|
||||
@@ -26,6 +26,10 @@
|
||||
//! - `trigger_evaluator` - 2026-03-26
|
||||
//! - `persona_evolver` - 2026-03-26
|
||||
|
||||
// Hermes 管线子模块:部分函数由 Tauri 命令或中间件 hooks 按需调用,
|
||||
// 编译期无法检测到跨 crate 引用,统一抑制 dead_code 警告。
|
||||
#![allow(dead_code)]
|
||||
|
||||
pub mod heartbeat;
|
||||
pub mod compactor;
|
||||
pub mod reflection;
|
||||
@@ -37,8 +41,10 @@ pub mod solution_generator;
|
||||
pub mod personality_detector;
|
||||
pub mod pain_storage;
|
||||
pub mod experience;
|
||||
pub mod triggers;
|
||||
pub mod user_profiler;
|
||||
pub mod trajectory_compressor;
|
||||
pub mod health_snapshot;
|
||||
|
||||
// Re-export main types for convenience
|
||||
pub use heartbeat::HeartbeatEngineState;
|
||||
|
||||
@@ -322,10 +322,10 @@ pub fn analyze_for_pain_signals(messages: &[zclaw_types::Message]) -> Option<Pai
|
||||
let combined = user_frustrations.join(" ");
|
||||
let severity = if combined.contains("烦死了")
|
||||
|| combined.contains("受不了")
|
||||
|| user_frustrations.len() >= 3
|
||||
|| user_frustrations.len() >= 2
|
||||
{
|
||||
PainSeverity::High
|
||||
} else if user_frustrations.len() >= 2 {
|
||||
} else if user_frustrations.len() >= 1 {
|
||||
PainSeverity::Medium
|
||||
} else {
|
||||
PainSeverity::Low
|
||||
@@ -610,13 +610,22 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
fn test_severity_ordering() {
|
||||
// Single frustration signal → Medium
|
||||
let messages = vec![
|
||||
Message::user("这又来了"),
|
||||
];
|
||||
let result = analyze_for_pain_signals(&messages);
|
||||
assert!(result.is_some());
|
||||
assert_eq!(result.unwrap().severity, PainSeverity::Medium);
|
||||
|
||||
// Two frustration signals → High (len >= 2 triggers High)
|
||||
let messages = vec![
|
||||
Message::user("这又来了"),
|
||||
Message::user("还是不行"),
|
||||
];
|
||||
let result = analyze_for_pain_signals(&messages);
|
||||
assert!(result.is_some());
|
||||
assert_eq!(result.unwrap().severity, PainSeverity::Medium);
|
||||
assert_eq!(result.unwrap().severity, PainSeverity::High);
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -893,7 +893,7 @@ mod tests {
|
||||
];
|
||||
|
||||
let patterns = engine.analyze_patterns(&memories);
|
||||
// Should not trigger (only 2 tasks, threshold is 5)
|
||||
// Should not trigger (only 2 tasks, threshold is 3)
|
||||
assert!(!patterns.iter().any(|p| p.observation.contains("待办任务")));
|
||||
}
|
||||
|
||||
|
||||
229
desktop/src-tauri/src/intelligence/triggers.rs
Normal file
229
desktop/src-tauri/src/intelligence/triggers.rs
Normal file
@@ -0,0 +1,229 @@
|
||||
//! 学习触发信号系统
|
||||
//!
|
||||
//! 规则驱动的低成本触发判断,在 `post_conversation_hook` 中调用。
|
||||
//! 有信号时才进入 LLM 经验提取,无信号则零成本跳过。
|
||||
|
||||
use super::experience::{CompletionStatus, detect_implicit_feedback};
|
||||
|
||||
/// 触发信号类型
|
||||
#[derive(Debug, Clone, PartialEq, Eq)]
|
||||
pub enum TriggerSignal {
|
||||
/// 痛点确认(confidence >= 0.7)
|
||||
PainConfirmed,
|
||||
/// 隐式正反馈("谢谢/解决了/对了/好了")
|
||||
PositiveFeedback,
|
||||
/// 复杂工具链(单次对话 3+ tool calls)
|
||||
ComplexToolChain,
|
||||
/// 用户纠正(含"不对/不是/应该是")
|
||||
UserCorrection,
|
||||
/// 行业模式(同一行业关键词在多轮出现)
|
||||
IndustryPattern,
|
||||
}
|
||||
|
||||
/// 触发信号判断的输入
|
||||
pub struct TriggerContext {
|
||||
/// 最新用户消息
|
||||
pub user_message: String,
|
||||
/// 本轮工具调用次数
|
||||
pub tool_call_count: usize,
|
||||
/// 对话中累计的用户消息(用于行业关键词统计)
|
||||
pub conversation_messages: Vec<String>,
|
||||
/// 检测到的痛点置信度(如有)
|
||||
pub pain_confidence: Option<f64>,
|
||||
/// 用户授权的行业关键词
|
||||
pub industry_keywords: Vec<String>,
|
||||
}
|
||||
|
||||
/// 判断是否触发学习信号(纯规则,零 LLM 调用)
|
||||
///
|
||||
/// 返回匹配到的所有触发信号。空 Vec = 无信号,跳过。
|
||||
pub fn evaluate_triggers(ctx: &TriggerContext) -> Vec<TriggerSignal> {
|
||||
let mut signals = Vec::new();
|
||||
|
||||
// 1. 痛点确认
|
||||
if let Some(confidence) = ctx.pain_confidence {
|
||||
if confidence >= 0.7 {
|
||||
signals.push(TriggerSignal::PainConfirmed);
|
||||
}
|
||||
}
|
||||
|
||||
// 2. 隐式正反馈
|
||||
if let Some(status) = detect_implicit_feedback(&ctx.user_message) {
|
||||
if status == CompletionStatus::Success {
|
||||
signals.push(TriggerSignal::PositiveFeedback);
|
||||
}
|
||||
}
|
||||
|
||||
// 3. 复杂工具链
|
||||
if ctx.tool_call_count >= 3 {
|
||||
signals.push(TriggerSignal::ComplexToolChain);
|
||||
}
|
||||
|
||||
// 4. 用户纠正
|
||||
if is_user_correction(&ctx.user_message) {
|
||||
signals.push(TriggerSignal::UserCorrection);
|
||||
}
|
||||
|
||||
// 5. 行业模式
|
||||
if detects_industry_pattern(&ctx.conversation_messages, &ctx.industry_keywords) {
|
||||
signals.push(TriggerSignal::IndustryPattern);
|
||||
}
|
||||
|
||||
signals
|
||||
}
|
||||
|
||||
/// 检测用户纠正信号
|
||||
fn is_user_correction(message: &str) -> bool {
|
||||
let lower = message.to_lowercase();
|
||||
let correction_patterns = [
|
||||
"不对", "不是", "应该是", "错了", "重新", "换一个",
|
||||
"不是这个", "搞错了", "你理解错了", "我的意思是",
|
||||
];
|
||||
correction_patterns.iter().any(|p| lower.contains(p))
|
||||
}
|
||||
|
||||
/// 检测行业关键词在多轮对话中反复出现
|
||||
fn detects_industry_pattern(messages: &[String], industry_keywords: &[String]) -> bool {
|
||||
if messages.len() < 3 || industry_keywords.is_empty() {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 统计行业关键词在所有消息中的出现次数
|
||||
let mut keyword_hits: std::collections::HashMap<&str, usize> = std::collections::HashMap::new();
|
||||
for msg in messages {
|
||||
let lower = msg.to_lowercase();
|
||||
for kw in industry_keywords {
|
||||
if lower.contains(kw.to_lowercase().as_str()) {
|
||||
*keyword_hits.entry(kw).or_default() += 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 至少有 1 个关键词在 3+ 轮中出现
|
||||
keyword_hits.values().any(|&count| count >= 3)
|
||||
}
|
||||
|
||||
/// 触发信号的可读描述(用于日志)
|
||||
pub fn signal_description(signal: &TriggerSignal) -> &'static str {
|
||||
match signal {
|
||||
TriggerSignal::PainConfirmed => "痛点确认",
|
||||
TriggerSignal::PositiveFeedback => "隐式正反馈",
|
||||
TriggerSignal::ComplexToolChain => "复杂工具链",
|
||||
TriggerSignal::UserCorrection => "用户纠正",
|
||||
TriggerSignal::IndustryPattern => "行业模式",
|
||||
}
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Tests
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn test_pain_confirmed_trigger() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "这个报表还是有问题".to_string(),
|
||||
tool_call_count: 1,
|
||||
conversation_messages: vec!["报表太慢".into()],
|
||||
pain_confidence: Some(0.8),
|
||||
industry_keywords: vec![],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.contains(&TriggerSignal::PainConfirmed));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_positive_feedback_trigger() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "好了,解决了!谢谢".to_string(),
|
||||
tool_call_count: 0,
|
||||
conversation_messages: vec![],
|
||||
pain_confidence: None,
|
||||
industry_keywords: vec![],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.contains(&TriggerSignal::PositiveFeedback));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_complex_tool_chain_trigger() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "帮我处理一下".to_string(),
|
||||
tool_call_count: 4,
|
||||
conversation_messages: vec![],
|
||||
pain_confidence: None,
|
||||
industry_keywords: vec![],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.contains(&TriggerSignal::ComplexToolChain));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_user_correction_trigger() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "不对,应该是另一个方案".to_string(),
|
||||
tool_call_count: 0,
|
||||
conversation_messages: vec![],
|
||||
pain_confidence: None,
|
||||
industry_keywords: vec![],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.contains(&TriggerSignal::UserCorrection));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_industry_pattern_trigger() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "库存又不够了".to_string(),
|
||||
tool_call_count: 0,
|
||||
conversation_messages: vec![
|
||||
"帮我查库存".into(),
|
||||
"库存数据怎么看".into(),
|
||||
"库存预警设置".into(),
|
||||
"库存又不够了".into(),
|
||||
],
|
||||
pain_confidence: None,
|
||||
industry_keywords: vec!["库存".to_string(), "SKU".to_string(), "GMV".to_string()],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.contains(&TriggerSignal::IndustryPattern));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_no_trigger() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "今天天气怎么样".to_string(),
|
||||
tool_call_count: 0,
|
||||
conversation_messages: vec![],
|
||||
pain_confidence: None,
|
||||
industry_keywords: vec![],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_multiple_triggers() {
|
||||
let ctx = TriggerContext {
|
||||
user_message: "不对,帮我重新做一下库存报表".to_string(),
|
||||
tool_call_count: 3,
|
||||
conversation_messages: vec![
|
||||
"库存报表".into(),
|
||||
"帮我做库存报表".into(),
|
||||
"库存报表数据".into(),
|
||||
"不对,帮我重新做一下库存报表".into(),
|
||||
],
|
||||
pain_confidence: Some(0.8),
|
||||
industry_keywords: vec!["库存".to_string()],
|
||||
};
|
||||
let signals = evaluate_triggers(&ctx);
|
||||
assert!(signals.contains(&TriggerSignal::PainConfirmed));
|
||||
assert!(signals.contains(&TriggerSignal::ComplexToolChain));
|
||||
assert!(signals.contains(&TriggerSignal::UserCorrection));
|
||||
assert!(signals.contains(&TriggerSignal::IndustryPattern));
|
||||
assert!(signals.len() >= 3);
|
||||
}
|
||||
}
|
||||
@@ -9,7 +9,7 @@ use std::sync::Arc;
|
||||
|
||||
use chrono::Utc;
|
||||
use tracing::{debug, warn};
|
||||
use zclaw_memory::fact::{Fact, FactCategory};
|
||||
use zclaw_memory::fact::Fact;
|
||||
use zclaw_memory::user_profile_store::{
|
||||
CommStyle, Level, UserProfile, UserProfileStore,
|
||||
};
|
||||
|
||||
@@ -16,7 +16,8 @@ use zclaw_runtime::driver::LlmDriver;
|
||||
|
||||
/// Run pre-conversation intelligence hooks
|
||||
///
|
||||
/// Builds identity-enhanced system prompt (SOUL.md + instructions).
|
||||
/// Builds identity-enhanced system prompt (SOUL.md + instructions) and
|
||||
/// injects cross-session continuity context (pain revisit, experience hints).
|
||||
///
|
||||
/// NOTE: Memory context injection is NOT done here — it is handled by
|
||||
/// `MemoryMiddleware.before_completion()` in the Kernel's middleware chain.
|
||||
@@ -40,7 +41,15 @@ pub async fn pre_conversation_hook(
|
||||
}
|
||||
};
|
||||
|
||||
Ok(enhanced_prompt)
|
||||
// Cross-session continuity: check for unresolved pain points and recent experiences
|
||||
let continuity_context = build_continuity_context(agent_id, _user_message).await;
|
||||
|
||||
let mut result = enhanced_prompt;
|
||||
if !continuity_context.is_empty() {
|
||||
result.push_str(&continuity_context);
|
||||
}
|
||||
|
||||
Ok(result)
|
||||
}
|
||||
|
||||
/// Run post-conversation intelligence hooks
|
||||
@@ -79,6 +88,7 @@ pub async fn post_conversation_hook(
|
||||
}
|
||||
|
||||
// Step 1.6: Detect pain signals from user message
|
||||
let mut pain_confidence: Option<f64> = None;
|
||||
if !_user_message.is_empty() {
|
||||
let messages = vec![zclaw_types::Message::user(_user_message)];
|
||||
if let Some(analysis) = crate::intelligence::pain_aggregator::analyze_for_pain_signals(&messages) {
|
||||
@@ -101,6 +111,7 @@ pub async fn post_conversation_hook(
|
||||
"[intelligence_hooks] Pain point recorded: {} (confidence: {:.2}, count: {})",
|
||||
pain.summary, pain.confidence, pain.occurrence_count
|
||||
);
|
||||
pain_confidence = Some(pain.confidence);
|
||||
}
|
||||
Err(e) => {
|
||||
warn!("[intelligence_hooks] Failed to record pain point: {}", e);
|
||||
@@ -109,6 +120,36 @@ pub async fn post_conversation_hook(
|
||||
}
|
||||
}
|
||||
|
||||
// Step 1.7: Evaluate learning triggers (rule-based, zero LLM cost)
|
||||
if !_user_message.is_empty() {
|
||||
let trigger_ctx = crate::intelligence::triggers::TriggerContext {
|
||||
user_message: _user_message.to_string(),
|
||||
tool_call_count: 0,
|
||||
conversation_messages: vec![_user_message.to_string()],
|
||||
pain_confidence,
|
||||
industry_keywords: crate::viking_commands::get_industry_keywords_flat(),
|
||||
};
|
||||
let signals = crate::intelligence::triggers::evaluate_triggers(&trigger_ctx);
|
||||
if !signals.is_empty() {
|
||||
let signal_names: Vec<&str> = signals.iter()
|
||||
.map(crate::intelligence::triggers::signal_description)
|
||||
.collect();
|
||||
debug!(
|
||||
"[intelligence_hooks] Learning triggers activated: {:?}",
|
||||
signal_names
|
||||
);
|
||||
// Store lightweight experiences from trigger signals (template-based, no LLM cost)
|
||||
for signal in &signals {
|
||||
if let Err(e) = store_trigger_experience(agent_id, signal, _user_message).await {
|
||||
warn!(
|
||||
"[intelligence_hooks] Failed to store trigger experience: {}",
|
||||
e
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Step 2: Record conversation for reflection
|
||||
let mut engine = reflection_state.lock().await;
|
||||
|
||||
@@ -242,7 +283,7 @@ async fn build_identity_prompt(
|
||||
let prompt = manager.build_system_prompt(
|
||||
agent_id,
|
||||
if memory_context.is_empty() { None } else { Some(memory_context) },
|
||||
);
|
||||
).await;
|
||||
|
||||
Ok(prompt)
|
||||
}
|
||||
@@ -281,3 +322,121 @@ async fn query_memories_for_reflection(
|
||||
|
||||
Ok(memories)
|
||||
}
|
||||
|
||||
/// Build cross-session continuity context for the current conversation.
|
||||
///
|
||||
/// Injects relevant context from previous sessions:
|
||||
/// - Active pain points (severity >= High, recent)
|
||||
/// - Relevant past experiences matching the user's input
|
||||
///
|
||||
/// Uses `<butler-context>` XML fencing for structured injection.
|
||||
async fn build_continuity_context(agent_id: &str, user_message: &str) -> String {
|
||||
let mut parts = Vec::new();
|
||||
|
||||
// 1. Active pain points
|
||||
if let Ok(pain_points) = crate::intelligence::pain_aggregator::butler_list_pain_points(
|
||||
agent_id.to_string(),
|
||||
).await {
|
||||
// Filter to high-severity and take top 3
|
||||
let high_pains: Vec<_> = pain_points.iter()
|
||||
.filter(|p| matches!(p.severity, crate::intelligence::pain_aggregator::PainSeverity::High))
|
||||
.take(3)
|
||||
.collect();
|
||||
if !high_pains.is_empty() {
|
||||
let pain_lines: Vec<String> = high_pains.iter()
|
||||
.map(|p| {
|
||||
let summary = &p.summary;
|
||||
let count = p.occurrence_count;
|
||||
let conf = (p.confidence * 100.0) as u8;
|
||||
format!(
|
||||
"- {} (出现{}次, 置信度 {}%)",
|
||||
xml_escape(summary), count, conf
|
||||
)
|
||||
})
|
||||
.collect();
|
||||
if !pain_lines.is_empty() {
|
||||
parts.push(format!("<active-pain>\n{}\n</active-pain>", pain_lines.join("\n")));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 2. Relevant experiences (if user message is non-trivial)
|
||||
if user_message.chars().count() >= 4 {
|
||||
if let Ok(storage) = crate::viking_commands::get_storage().await {
|
||||
let options = zclaw_growth::FindOptions {
|
||||
scope: Some(format!("agent://{}", agent_id)),
|
||||
limit: Some(3),
|
||||
min_similarity: Some(0.3),
|
||||
};
|
||||
if let Ok(entries) = zclaw_growth::VikingStorage::find(
|
||||
storage.as_ref(),
|
||||
user_message,
|
||||
options,
|
||||
).await {
|
||||
if !entries.is_empty() {
|
||||
let exp_lines: Vec<String> = entries.iter()
|
||||
.map(|e| {
|
||||
let overview = e.overview.as_deref().unwrap_or(&e.content);
|
||||
let truncated: String = overview.chars().take(60).collect();
|
||||
format!("- {}", xml_escape(&truncated))
|
||||
})
|
||||
.collect();
|
||||
parts.push(format!("<experience>\n{}\n</experience>", exp_lines.join("\n")));
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if parts.is_empty() {
|
||||
return String::new();
|
||||
}
|
||||
|
||||
format!(
|
||||
"\n\n<butler-context>\n{}\n<system-note>以上是管家系统从过往对话中提取的信息。在对话中自然运用这些信息,主动提供有帮助的建议。不要逐条复述以上内容。</system-note>\n</butler-context>",
|
||||
parts.join("\n")
|
||||
)
|
||||
}
|
||||
|
||||
/// Escape XML special characters in content injected into `<butler-context>`.
|
||||
fn xml_escape(s: &str) -> String {
|
||||
s.replace('&', "&")
|
||||
.replace('<', "<")
|
||||
.replace('>', ">")
|
||||
}
|
||||
|
||||
/// Store a lightweight experience entry from a trigger signal.
|
||||
///
|
||||
/// Uses VikingStorage directly — template-based, no LLM cost.
|
||||
/// Records the signal type, trigger context, and timestamp for future retrieval.
|
||||
async fn store_trigger_experience(
|
||||
agent_id: &str,
|
||||
signal: &crate::intelligence::triggers::TriggerSignal,
|
||||
user_message: &str,
|
||||
) -> Result<(), String> {
|
||||
let storage = crate::viking_commands::get_storage().await?;
|
||||
|
||||
let signal_name = crate::intelligence::triggers::signal_description(signal);
|
||||
let content = format!(
|
||||
"[触发信号: {}]\n用户消息: {}\n时间: {}",
|
||||
signal_name,
|
||||
user_message.chars().take(200).collect::<String>(),
|
||||
chrono::Utc::now().to_rfc3339(),
|
||||
);
|
||||
|
||||
let entry = zclaw_growth::MemoryEntry::new(
|
||||
agent_id,
|
||||
zclaw_growth::MemoryType::Experience,
|
||||
&format!("trigger/{}", signal_name),
|
||||
content,
|
||||
);
|
||||
|
||||
zclaw_growth::VikingStorage::store(storage.as_ref(), &entry)
|
||||
.await
|
||||
.map_err(|e| format!("Failed to store trigger experience: {}", e))?;
|
||||
|
||||
debug!(
|
||||
"[intelligence_hooks] Stored trigger experience: {} for agent {}",
|
||||
signal_name, agent_id
|
||||
);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
@@ -121,6 +121,7 @@ pub async fn agent_a2a_delegate_task(
|
||||
|
||||
/// Butler delegates a user request to expert agents via the Director.
|
||||
#[cfg(feature = "multi-agent")]
|
||||
// @reserved: butler multi-agent delegation
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn butler_delegate_task(
|
||||
|
||||
@@ -68,6 +68,7 @@ pub struct AgentUpdateRequest {
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/// Create a new agent
|
||||
// @reserved: agent CRUD management
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn agent_create(
|
||||
@@ -150,6 +151,7 @@ pub async fn agent_create(
|
||||
}
|
||||
|
||||
/// List all agents
|
||||
// @reserved: agent CRUD management
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn agent_list(
|
||||
@@ -164,6 +166,7 @@ pub async fn agent_list(
|
||||
}
|
||||
|
||||
/// Get agent info (with optional UserProfile from memory store)
|
||||
// @reserved: agent CRUD management
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn agent_get(
|
||||
@@ -187,7 +190,10 @@ pub async fn agent_get(
|
||||
if let Ok(storage) = crate::viking_commands::get_storage().await {
|
||||
let profile_store = zclaw_memory::UserProfileStore::new(storage.pool().clone());
|
||||
if let Ok(Some(profile)) = profile_store.get(&agent_id).await {
|
||||
agent_info.user_profile = Some(serde_json::to_value(profile).unwrap_or_default());
|
||||
match serde_json::to_value(&profile) {
|
||||
Ok(val) => agent_info.user_profile = Some(val),
|
||||
Err(e) => tracing::warn!("[agent_get] Failed to serialize UserProfile: {}", e),
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -30,6 +30,9 @@ pub struct ChatRequest {
|
||||
/// Enable sub-agent delegation (Ultra mode only)
|
||||
#[serde(default)]
|
||||
pub subagent_enabled: Option<bool>,
|
||||
/// Model override — UI 选择的模型优先于 Agent 配置的默认模型
|
||||
#[serde(default)]
|
||||
pub model: Option<String>,
|
||||
}
|
||||
|
||||
/// Chat response
|
||||
@@ -76,6 +79,9 @@ pub struct StreamChatRequest {
|
||||
/// Enable sub-agent delegation (Ultra mode only)
|
||||
#[serde(default)]
|
||||
pub subagent_enabled: Option<bool>,
|
||||
/// Model override — UI 选择的模型优先于 Agent 配置的默认模型
|
||||
#[serde(default)]
|
||||
pub model: Option<String>,
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
@@ -83,6 +89,7 @@ pub struct StreamChatRequest {
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
/// Send a message to an agent
|
||||
// @reserved: agent chat (desktop uses ChatStore/SaaS relay)
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn agent_chat(
|
||||
@@ -116,7 +123,7 @@ pub async fn agent_chat(
|
||||
None
|
||||
};
|
||||
|
||||
let response = kernel.send_message_with_chat_mode(&id, request.message, chat_mode)
|
||||
let response = kernel.send_message_with_chat_mode(&id, request.message, chat_mode, request.model)
|
||||
.await
|
||||
.map_err(|e| format!("Chat failed: {}", e))?;
|
||||
|
||||
@@ -210,8 +217,93 @@ pub async fn agent_chat_stream(
|
||||
&identity_state,
|
||||
).await.unwrap_or_default();
|
||||
|
||||
// --- Schedule intent interception ---
|
||||
// If the user's message contains a schedule intent (e.g. "每天早上9点提醒我查房"),
|
||||
// parse it with NlScheduleParser, create a trigger, and return confirmation
|
||||
// directly without calling the LLM.
|
||||
let mut captured_parsed: Option<zclaw_runtime::nl_schedule::ParsedSchedule> = None;
|
||||
|
||||
if zclaw_runtime::nl_schedule::has_schedule_intent(&message) {
|
||||
let parse_result = zclaw_runtime::nl_schedule::parse_nl_schedule(&message, &id);
|
||||
|
||||
match parse_result {
|
||||
zclaw_runtime::nl_schedule::ScheduleParseResult::Exact(ref parsed)
|
||||
if parsed.confidence >= 0.8 =>
|
||||
{
|
||||
// Try to create a schedule trigger
|
||||
let kernel_lock = state.lock().await;
|
||||
if let Some(kernel) = kernel_lock.as_ref() {
|
||||
// Use UUID fragment to avoid collision under high concurrency
|
||||
let trigger_id = format!(
|
||||
"sched_{}_{}",
|
||||
chrono::Utc::now().timestamp_millis(),
|
||||
&uuid::Uuid::new_v4().to_string()[..8]
|
||||
);
|
||||
let trigger_config = zclaw_hands::TriggerConfig {
|
||||
id: trigger_id.clone(),
|
||||
name: parsed.task_description.clone(),
|
||||
hand_id: "_reminder".to_string(),
|
||||
trigger_type: zclaw_hands::TriggerType::Schedule {
|
||||
cron: parsed.cron_expression.clone(),
|
||||
},
|
||||
enabled: true,
|
||||
// 60/hour = once per minute max, reasonable for scheduled tasks
|
||||
max_executions_per_hour: 60,
|
||||
};
|
||||
|
||||
match kernel.create_trigger(trigger_config).await {
|
||||
Ok(_entry) => {
|
||||
tracing::info!(
|
||||
"[agent_chat_stream] Schedule trigger created: {} (cron: {})",
|
||||
trigger_id, parsed.cron_expression
|
||||
);
|
||||
captured_parsed = Some(parsed.clone());
|
||||
}
|
||||
Err(e) => {
|
||||
tracing::warn!(
|
||||
"[agent_chat_stream] Failed to create schedule trigger, falling through to LLM: {}",
|
||||
e
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
_ => {
|
||||
// Ambiguous, Unclear, or low confidence — let LLM handle it naturally
|
||||
tracing::debug!(
|
||||
"[agent_chat_stream] Schedule intent detected but not confident enough, falling through to LLM"
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Get the streaming receiver while holding the lock, then release it
|
||||
let (mut rx, llm_driver) = {
|
||||
// NOTE: When schedule_intercepted, llm_driver is None so post_conversation_hook
|
||||
// (memory extraction, heartbeat, reflection) is intentionally skipped —
|
||||
// schedule confirmations are system messages, not user conversations.
|
||||
let (mut rx, llm_driver) = if let Some(parsed) = captured_parsed {
|
||||
// Schedule was intercepted — build confirmation message directly
|
||||
let confirm_msg = format!(
|
||||
"已为您设置定时任务:\n\n- **任务**:{}\n- **时间**:{}\n- **Cron**:`{}`\n\n任务已激活,将在设定时间自动执行。",
|
||||
parsed.task_description,
|
||||
parsed.natural_description,
|
||||
parsed.cron_expression,
|
||||
);
|
||||
|
||||
let (tx, rx) = tokio::sync::mpsc::channel(32);
|
||||
let _ = tx.send(zclaw_runtime::LoopEvent::Delta(confirm_msg)).await;
|
||||
let _ = tx.send(zclaw_runtime::LoopEvent::Complete(
|
||||
zclaw_runtime::AgentLoopResult {
|
||||
response: String::new(),
|
||||
input_tokens: 0,
|
||||
output_tokens: 0,
|
||||
iterations: 1,
|
||||
}
|
||||
)).await;
|
||||
drop(tx);
|
||||
(rx, None)
|
||||
} else {
|
||||
// Normal LLM chat path
|
||||
let kernel_lock = state.lock().await;
|
||||
let kernel = kernel_lock.as_ref()
|
||||
.ok_or_else(|| {
|
||||
@@ -257,6 +349,7 @@ pub async fn agent_chat_stream(
|
||||
prompt_arg,
|
||||
session_id_parsed,
|
||||
Some(chat_mode_config),
|
||||
request.model.clone(),
|
||||
)
|
||||
.await
|
||||
.map_err(|e| {
|
||||
|
||||
@@ -112,6 +112,7 @@ impl From<zclaw_hands::HandResult> for HandResult {
|
||||
///
|
||||
/// Returns hands from the Kernel's HandRegistry.
|
||||
/// Hands are registered during kernel initialization.
|
||||
// @reserved: Hand autonomous capabilities
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn hand_list(
|
||||
@@ -142,6 +143,7 @@ pub async fn hand_list(
|
||||
/// Executes a hand with the given ID and input.
|
||||
/// If the hand has `needs_approval = true`, creates a pending approval instead.
|
||||
/// Returns the hand result as JSON, or a pending status with approval ID.
|
||||
// @reserved: Hand autonomous capabilities
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn hand_execute(
|
||||
@@ -209,6 +211,7 @@ pub async fn hand_execute(
|
||||
/// When approved, the kernel's `respond_to_approval` internally spawns the Hand
|
||||
/// execution. We additionally emit Tauri events so the frontend can track when
|
||||
/// the execution finishes.
|
||||
// @reserved: Hand approval workflow
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn hand_approve(
|
||||
|
||||
@@ -57,12 +57,14 @@ pub struct KernelStatusResponse {
|
||||
///
|
||||
/// If kernel already exists with the same config, returns existing status.
|
||||
/// If config changed, reboots kernel with new config.
|
||||
// @reserved: kernel lifecycle management
|
||||
// @connected
|
||||
#[tauri::command]
|
||||
pub async fn kernel_init(
|
||||
state: State<'_, KernelState>,
|
||||
scheduler_state: State<'_, SchedulerState>,
|
||||
heartbeat_state: State<'_, HeartbeatEngineState>,
|
||||
mcp_state: State<'_, crate::kernel_commands::mcp::McpManagerState>,
|
||||
config_request: Option<KernelConfigRequest>,
|
||||
) -> Result<KernelStatusResponse, String> {
|
||||
let mut kernel_lock = state.lock().await;
|
||||
@@ -72,15 +74,18 @@ pub async fn kernel_init(
|
||||
// Get current config from kernel
|
||||
let current_config = kernel.config();
|
||||
|
||||
// Check if config changed
|
||||
// Check if config changed (model, base_url, or api_key)
|
||||
let config_changed = if let Some(ref req) = config_request {
|
||||
let default_base_url = zclaw_kernel::config::KernelConfig::from_provider(
|
||||
&req.provider, "", &req.model, None, &req.api_protocol
|
||||
).llm.base_url;
|
||||
let request_base_url = req.base_url.clone().unwrap_or(default_base_url.clone());
|
||||
let current_api_key = ¤t_config.llm.api_key;
|
||||
let request_api_key = req.api_key.as_deref().unwrap_or("");
|
||||
|
||||
current_config.llm.model != req.model ||
|
||||
current_config.llm.base_url != request_base_url
|
||||
current_config.llm.base_url != request_base_url ||
|
||||
current_api_key != request_api_key
|
||||
} else {
|
||||
false
|
||||
};
|
||||
@@ -168,6 +173,20 @@ pub async fn kernel_init(
|
||||
kernel.set_extraction_driver(std::sync::Arc::new(extraction_driver));
|
||||
}
|
||||
|
||||
// Bridge MCP adapters — kernel reads from this shared list during
|
||||
// create_tool_registry() so the LLM can discover MCP tools.
|
||||
// Share the McpManagerState's Arc with the Kernel so both point to the same list.
|
||||
{
|
||||
let shared_arc = mcp_state.kernel_adapters.clone();
|
||||
// Copy any adapters already in the kernel's default list into the shared one
|
||||
let kernel_default = kernel.mcp_adapters();
|
||||
if let (Ok(src), Ok(mut dst)) = (kernel_default.read(), shared_arc.write()) {
|
||||
*dst = src.clone();
|
||||
}
|
||||
kernel.set_mcp_adapters(shared_arc);
|
||||
tracing::info!("[kernel_init] Bridged MCP adapters to Kernel for LLM tool discovery");
|
||||
}
|
||||
|
||||
// Configure summary driver so the Growth system can generate L0/L1 summaries
|
||||
if let Some(api_key) = config_request.as_ref().and_then(|r| r.api_key.clone()) {
|
||||
crate::summarizer_adapter::configure_summary_driver(
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
//! MCP (Model Context Protocol) Tauri commands
|
||||
//!
|
||||
//! Manages MCP server lifecycle: start/stop servers, discover tools.
|
||||
//! When services change, the kernel's shared adapter list is synced
|
||||
//! so the LLM can discover and call MCP tools in conversations.
|
||||
|
||||
use std::collections::HashMap;
|
||||
use std::sync::Arc;
|
||||
@@ -9,11 +11,44 @@ use tauri::State;
|
||||
use tokio::sync::Mutex;
|
||||
use tracing::info;
|
||||
|
||||
use zclaw_protocols::{BasicMcpClient, McpServerConfig, McpServiceManager};
|
||||
use zclaw_protocols::{BasicMcpClient, McpServerConfig, McpServiceManager, McpToolAdapter};
|
||||
|
||||
/// Shared MCP service manager state (newtype for Tauri state management)
|
||||
#[derive(Clone, Default)]
|
||||
pub struct McpManagerState(pub Arc<Mutex<McpServiceManager>>);
|
||||
#[derive(Clone)]
|
||||
pub struct McpManagerState {
|
||||
pub manager: Arc<Mutex<McpServiceManager>>,
|
||||
/// Shared with Kernel — updated on every start/stop so
|
||||
/// `create_tool_registry()` picks up the latest MCP tools.
|
||||
pub kernel_adapters: Arc<std::sync::RwLock<Vec<McpToolAdapter>>>,
|
||||
}
|
||||
|
||||
impl Default for McpManagerState {
|
||||
fn default() -> Self {
|
||||
Self {
|
||||
manager: Arc::new(Mutex::new(McpServiceManager::new())),
|
||||
kernel_adapters: Arc::new(std::sync::RwLock::new(Vec::new())),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl McpManagerState {
|
||||
/// Create with a pre-allocated kernel_adapters Arc for sharing with Kernel.
|
||||
#[allow(dead_code)]
|
||||
pub fn with_shared_adapters(kernel_adapters: Arc<std::sync::RwLock<Vec<McpToolAdapter>>>) -> Self {
|
||||
Self {
|
||||
manager: Arc::new(Mutex::new(McpServiceManager::new())),
|
||||
kernel_adapters,
|
||||
}
|
||||
}
|
||||
|
||||
/// Sync all adapters from the service manager into the kernel's shared list.
|
||||
fn sync_to_kernel(&self, mgr: &McpServiceManager) {
|
||||
let all: Vec<McpToolAdapter> = mgr.all_adapters().into_iter().cloned().collect();
|
||||
if let Ok(mut guard) = self.kernel_adapters.write() {
|
||||
*guard = all;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// MCP service configuration (from frontend)
|
||||
#[derive(Debug, Deserialize)]
|
||||
@@ -47,13 +82,14 @@ pub struct McpServiceStatus {
|
||||
// ────────────────────────────────────────────────────────────────
|
||||
|
||||
/// Start an MCP server and discover its tools
|
||||
// @reserved: MCP protocol management
|
||||
/// @connected — frontend: MCPServices.tsx via mcp-client.ts
|
||||
#[tauri::command]
|
||||
pub async fn mcp_start_service(
|
||||
manager: State<'_, McpManagerState>,
|
||||
config: McpServiceConfig,
|
||||
) -> Result<Vec<McpToolInfo>, String> {
|
||||
let mut guard = manager.0.lock().await;
|
||||
let mut guard = manager.manager.lock().await;
|
||||
|
||||
let server_config = McpServerConfig {
|
||||
command: config.command,
|
||||
@@ -78,37 +114,46 @@ pub async fn mcp_start_service(
|
||||
let tools: Vec<McpToolInfo> = adapters
|
||||
.into_iter()
|
||||
.map(|a| McpToolInfo {
|
||||
service_name: config.name.clone(),
|
||||
tool_name: a.name().to_string(),
|
||||
service_name: a.service_name().to_string(),
|
||||
tool_name: a.tool_name().to_string(),
|
||||
description: a.description().to_string(),
|
||||
input_schema: a.input_schema().clone(),
|
||||
})
|
||||
.collect();
|
||||
|
||||
// Sync adapters to kernel so LLM can see the new tools
|
||||
manager.sync_to_kernel(&guard);
|
||||
|
||||
info!(service = %config.name, tool_count = tools.len(), "MCP tools registered");
|
||||
Ok(tools)
|
||||
}
|
||||
|
||||
/// Stop an MCP server and remove its tools
|
||||
// @reserved: MCP protocol management
|
||||
/// @connected — frontend: MCPServices.tsx via mcp-client.ts
|
||||
#[tauri::command]
|
||||
pub async fn mcp_stop_service(
|
||||
manager: State<'_, McpManagerState>,
|
||||
name: String,
|
||||
) -> Result<(), String> {
|
||||
let mut guard = manager.0.lock().await;
|
||||
let mut guard = manager.manager.lock().await;
|
||||
guard.remove_service(&name);
|
||||
|
||||
// Sync adapters to kernel so LLM no longer sees removed tools
|
||||
manager.sync_to_kernel(&guard);
|
||||
|
||||
info!(service = %name, "MCP service stopped");
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// List all active MCP services and their tools
|
||||
// @reserved: MCP protocol management
|
||||
/// @connected — frontend: MCPServices.tsx via mcp-client.ts
|
||||
#[tauri::command]
|
||||
pub async fn mcp_list_services(
|
||||
manager: State<'_, McpManagerState>,
|
||||
) -> Result<Vec<McpServiceStatus>, String> {
|
||||
let guard = manager.0.lock().await;
|
||||
let guard = manager.manager.lock().await;
|
||||
let names = guard.service_names();
|
||||
let all = guard.all_adapters();
|
||||
let statuses: Vec<McpServiceStatus> = names
|
||||
@@ -116,9 +161,10 @@ pub async fn mcp_list_services(
|
||||
.map(|name| {
|
||||
let tools: Vec<McpToolInfo> = all
|
||||
.iter()
|
||||
.filter(|a| a.service_name() == name)
|
||||
.map(|a| McpToolInfo {
|
||||
service_name: name.to_string(),
|
||||
tool_name: a.name().to_string(),
|
||||
service_name: a.service_name().to_string(),
|
||||
tool_name: a.tool_name().to_string(),
|
||||
description: a.description().to_string(),
|
||||
input_schema: a.input_schema().clone(),
|
||||
})
|
||||
@@ -134,19 +180,29 @@ pub async fn mcp_list_services(
|
||||
}
|
||||
|
||||
/// Call an MCP tool directly
|
||||
// @reserved: MCP protocol management
|
||||
/// @connected — frontend: agent loop via mcp-client.ts
|
||||
#[tauri::command]
|
||||
pub async fn mcp_call_tool(
|
||||
manager: State<'_, McpManagerState>,
|
||||
service_name: Option<String>,
|
||||
tool_name: String,
|
||||
arguments: serde_json::Value,
|
||||
) -> Result<serde_json::Value, String> {
|
||||
let guard = manager.0.lock().await;
|
||||
let adapter = guard
|
||||
.all_adapters()
|
||||
.into_iter()
|
||||
.find(|a| a.name() == tool_name)
|
||||
.ok_or_else(|| format!("MCP tool '{}' not found", tool_name))?;
|
||||
let guard = manager.manager.lock().await;
|
||||
let adapter = if let Some(ref svc) = service_name {
|
||||
// Route by service name + tool name for precision
|
||||
guard.all_adapters()
|
||||
.into_iter()
|
||||
.find(|a| a.service_name() == svc && a.tool_name() == tool_name)
|
||||
.ok_or_else(|| format!("MCP tool '{}' in service '{}' not found", tool_name, svc))?
|
||||
} else {
|
||||
// Fallback: match by tool name only (first match)
|
||||
guard.all_adapters()
|
||||
.into_iter()
|
||||
.find(|a| a.tool_name() == tool_name)
|
||||
.ok_or_else(|| format!("MCP tool '{}' not found", tool_name))?
|
||||
};
|
||||
|
||||
adapter
|
||||
.execute(arguments)
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user