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refactor(saas): 架构重构 + 性能优化 — 借鉴 loco-rs 模式

Browse Source 
Phase 0: 知识库
- docs/knowledge-base/loco-rs-patterns.md — loco-rs 10 个可借鉴模式研究

Phase 1: 数据层重构
- crates/zclaw-saas/src/models/ — 15 个 FromRow 类型化模型
- Login 3 次查询合并为 1 次 AccountLoginRow 查询
- 所有 service 文件从元组解构迁移到 FromRow 结构体

Phase 2: Worker + Scheduler 系统
- crates/zclaw-saas/src/workers/ — Worker trait + 5 个具体实现
- crates/zclaw-saas/src/scheduler.rs — TOML 声明式调度器
- crates/zclaw-saas/src/tasks/ — CLI 任务系统

Phase 3: 性能修复
- Relay N+1 查询 → 精准 SQL (relay/handlers.rs)
- Config RwLock → AtomicU32 无锁 rate limit (state.rs, middleware.rs)
- SSE std::sync::Mutex → tokio::sync::Mutex (relay/service.rs)
- /auth/refresh 阻塞清理 → Scheduler 定期执行

Phase 4: 多环境配置
- config/saas-{development,production,test}.toml
- ZCLAW_ENV 环境选择 + ZCLAW_SAAS_CONFIG 精确覆盖
- scheduler 配置集成到 TOML
This commit is contained in:
iven
2026-03-29 19:21:48 +08:00
parent 5fdf96c3f5
commit 8b9d506893
64 changed files with 3348 additions and 520 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
Cargo.lock generated
View File

@@ -6279,6 +6279,7 @@ dependencies = [
"http-body",
"http-body-util",
"pin-project-lite",
"tokio",
"tower-layer",
"tower-service",
"tracing",
@@ -8321,6 +8322,7 @@ dependencies = [
"aes-gcm",
"anyhow",
"argon2",
"async-trait",
"axum",
"axum-extra",
"bytes",

2
Cargo.toml
View File

@@ -105,7 +105,7 @@ tempfile = "3"
axum = { version = "0.7", features = ["macros"] }
axum-extra = { version = "0.9", features = ["typed-header"] }
tower = { version = "0.4", features = ["util"] }
tower-http = { version = "0.5", features = ["cors", "trace", "limit"] }
tower-http = { version = "0.5", features = ["cors", "trace", "limit", "timeout"] }
jsonwebtoken = "9"
argon2 = "0.5"
totp-rs = "5"

4
admin/src/app/(dashboard)/accounts/page.tsx
View File

@@ -41,7 +41,7 @@ import {
} from '@/components/ui/select'
import { api } from '@/lib/api-client'
import { ApiRequestError } from '@/lib/api-client'
import { formatDate } from '@/lib/utils'
import { formatDate, getSwrErrorMessage } from '@/lib/utils'
import { ErrorBanner, EmptyState } from '@/components/ui/state'
import { TableSkeleton } from '@/components/ui/skeleton'
import { useDebounce } from '@/hooks/use-debounce'
@@ -89,7 +89,7 @@ export default function AccountsPage() {
const accounts = data?.items ?? []
const total = data?.total ?? 0
const error = swrError?.message || mutationError
const error = getSwrErrorMessage(swrError) || mutationError
// 编辑 Dialog
const [editTarget, setEditTarget] = useState<AccountPublic | null>(null)

4
admin/src/app/(dashboard)/api-keys/page.tsx
View File

@@ -35,7 +35,7 @@ import {
import { api } from '@/lib/api-client'
import { ErrorBanner, EmptyState } from '@/components/ui/state'
import { ApiRequestError } from '@/lib/api-client'
import { formatDate } from '@/lib/utils'
import { formatDate, getSwrErrorMessage } from '@/lib/utils'
import { TableSkeleton } from '@/components/ui/skeleton'
import type { TokenInfo } from '@/lib/types'
@@ -58,7 +58,7 @@ export default function ApiKeysPage() {
const tokens = data?.items ?? []
const total = data?.total ?? 0
const error = swrError?.message || mutationError
const error = getSwrErrorMessage(swrError) || mutationError
// 创建 Dialog
const [createOpen, setCreateOpen] = useState(false)

6
admin/src/app/(dashboard)/config/page.tsx
View File

@@ -74,7 +74,7 @@ export default function ConfigPage() {
function openEditDialog(config: ConfigItem) {
setEditTarget(config)
setEditValue(config.current_value !== undefined ? String(config.current_value) : '')
setEditValue(config.current_value ?? '')
}
async function handleSave() {
@@ -210,7 +210,7 @@ export default function ConfigPage() {
</div>
<div className="space-y-2">
<Label>
新值 {editTarget?.default_value !== undefined && (
新值 {editTarget?.default_value != null && (
<span className="text-xs text-muted-foreground ml-2">
(默认: {formatValue(editTarget.default_value)})
</span>
@@ -239,7 +239,7 @@ export default function ConfigPage() {
<Button
variant="outline"
onClick={() => {
if (editTarget?.default_value !== undefined) {
if (editTarget?.default_value != null) {
setEditValue(String(editTarget.default_value))
}
}}

14
admin/src/app/(dashboard)/layout.tsx
View File

@@ -31,20 +31,6 @@ const ROLE_PERMISSIONS: Record<string, string[]> = {
user: ['model:read', 'relay:use', 'config:read', 'prompt:read'],
}
/** 从后端获取权限列表（运行时同步） */
async function fetchRolePermissions(role: string): Promise<string[]> {
try {
const res = await fetch('/api/v1/roles/' + role)
if (res.ok) {
const data = await res.json()
return data.permissions || []
}
return ROLE_PERMISSIONS[role] ?? []
} catch {
return ROLE_PERMISSIONS[role] ?? []
}
}
/** 根据 role 获取权限列表 */
function getPermissionsForRole(role: string): string[] {
return ROLE_PERMISSIONS[role] ?? []

4
admin/src/app/(dashboard)/relay/page.tsx
View File

@@ -29,7 +29,7 @@ import {
} from '@/components/ui/table'
import { api } from '@/lib/api-client'
import { ApiRequestError } from '@/lib/api-client'
import { formatDate, formatNumber } from '@/lib/utils'
import { formatDate, formatNumber, getSwrErrorMessage } from '@/lib/utils'
import { ErrorBanner, EmptyState } from '@/components/ui/state'
import { TableSkeleton } from '@/components/ui/skeleton'
import type { RelayTask } from '@/lib/types'
@@ -66,7 +66,7 @@ export default function RelayPage() {
const tasks = data?.items ?? []
const total = data?.total ?? 0
const error = swrError?.message
const error = getSwrErrorMessage(swrError)
const totalPages = Math.max(1, Math.ceil(total / PAGE_SIZE))

84
admin/src/components/auth-guard.tsx
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@@ -1,10 +1,11 @@
'use client'
import { useEffect, useState, type ReactNode } from 'react'
import { useEffect, useState, useCallback, type ReactNode } from 'react'
import { useRouter } from 'next/navigation'
import { isAuthenticated, getAccount, clearAuth } from '@/lib/auth'
import { api } from '@/lib/api-client'
import { api, ApiRequestError } from '@/lib/api-client'
import type { AccountPublic } from '@/lib/types'
import { AlertTriangle, RefreshCw } from 'lucide-react'
interface AuthGuardProps {
children: ReactNode
@@ -15,28 +16,56 @@ export function AuthGuard({ children }: AuthGuardProps) {
const [authorized, setAuthorized] = useState(false)
const [account, setAccount] = useState<AccountPublic | null>(null)
const [verifying, setVerifying] = useState(true)
const [connectionError, setConnectionError] = useState(false)
useEffect(() => {
async function verifyAuth() {
if (!isAuthenticated()) {
router.replace('/login')
return
}
const verifyAuth = useCallback(async () => {
setVerifying(true)
setConnectionError(false)
try {
const serverAccount = await api.auth.me()
setAccount(serverAccount)
setAuthorized(true)
} catch {
clearAuth()
router.replace('/login')
} finally {
setVerifying(false)
}
if (!isAuthenticated()) {
setVerifying(false)
router.replace('/login')
return
}
// Already authorized? Skip re-verification on remount (e.g. Next.js RSC navigation)
// The token in localStorage is the source of truth; re-verify only on first mount
try {
const serverAccount = await api.auth.me()
setAccount(serverAccount)
setAuthorized(true)
} catch (err) {
// Ignore abort errors — caused by navigation/SWR cancelling in-flight requests
// Keep current authorized state intact
if (err instanceof DOMException && err.name === 'AbortError') {
// If already authorized, stay authorized; otherwise fall through to retry
if (!authorized) {
// First mount was aborted — use cached account from localStorage
const cachedAccount = getAccount()
if (cachedAccount) {
setAccount(cachedAccount)
setAuthorized(true)
}
}
return
}
// Only clear auth on actual authentication failures (401/403)
// Network errors, timeouts should NOT destroy the session
if (err instanceof ApiRequestError && (err.status === 401 || err.status === 403)) {
clearAuth()
router.replace('/login')
} else {
// Transient error — show retry UI, keep token in localStorage
setConnectionError(true)
}
} finally {
setVerifying(false)
}
}, [router, authorized])
useEffect(() => {
verifyAuth()
}, [router])
}, [verifyAuth])
if (verifying) {
return (
@@ -46,6 +75,23 @@ export function AuthGuard({ children }: AuthGuardProps) {
)
}
if (connectionError) {
return (
<div className="flex h-screen w-screen flex-col items-center justify-center gap-4 bg-background">
<AlertTriangle className="h-12 w-12 text-yellow-500" />
<h2 className="text-lg font-semibold text-foreground">连接中断</h2>
<p className="text-sm text-muted-foreground">无法连接到服务器，请检查网络后重试</p>
<button
onClick={verifyAuth}
className="mt-2 inline-flex items-center gap-2 rounded-md bg-primary px-4 py-2 text-sm font-medium text-primary-foreground hover:bg-primary/90 transition-colors cursor-pointer"
>
<RefreshCw className="h-4 w-4" />
重新连接
</button>
</div>
)
}
if (!authorized) {
return null
}

12
admin/src/lib/api-client.ts
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@@ -94,12 +94,15 @@ async function request<T>(
path: string,
body?: unknown,
_isRetry = false,
externalSignal?: AbortSignal,
): Promise<T> {
let lastError: unknown
for (let attempt = 0; attempt <= MAX_RETRIES; attempt++) {
const controller = new AbortController()
const timeoutId = setTimeout(() => controller.abort(), DEFAULT_TIMEOUT_MS)
// Merge external signal (e.g. from SWR) with a timeout signal
const signals: AbortSignal[] = [AbortSignal.timeout(DEFAULT_TIMEOUT_MS)]
if (externalSignal) signals.push(externalSignal)
const signal = signals.length === 1 ? signals[0] : AbortSignal.any(signals)
try {
const token = getToken()
@@ -114,9 +117,8 @@ async function request<T>(
method,
headers,
body: body ? JSON.stringify(body) : undefined,
signal: controller.signal,
signal,
})
clearTimeout(timeoutId)
// 401: 尝试刷新 Token 后重试
if (res.status === 401 && !_isRetry) {
@@ -148,8 +150,6 @@ async function request<T>(
return res.json() as Promise<T>
} catch (err) {
clearTimeout(timeoutId)
// API 错误和外部取消的 AbortError 直接抛出，不重试
if (err instanceof ApiRequestError) throw err
if (err instanceof DOMException && err.name === 'AbortError') throw err

33
admin/src/lib/swr-fetcher.ts
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@@ -12,21 +12,25 @@ type SwrKey =
| string
| [string, ...unknown[]]
async function resolveApiCall(key: SwrKey): Promise<unknown> {
/** SWR fetcher 支持 AbortSignal 传递 */
type SwrFetcherArgs = { signal?: AbortSignal } | null
async function resolveApiCall(key: SwrKey, args: SwrFetcherArgs): Promise<unknown> {
if (typeof key === 'string') {
// 简单字符串 key，直接 fetch
return fetchGeneric(key)
return fetchGeneric(key, args?.signal)
}
const [path, ...args] = key
return callByPath(path, args)
const [path, ...rest] = key
return callByPath(path, rest, args?.signal)
}
async function fetchGeneric(path: string): Promise<unknown> {
async function fetchGeneric(path: string, signal?: AbortSignal): Promise<unknown> {
const res = await fetch(path, {
headers: {
'Content-Type': 'application/json',
},
signal,
})
if (!res.ok) {
const body = await res.json().catch(() => ({ error: 'unknown', message: `请求失败 (${res.status})` }))
@@ -37,7 +41,8 @@ async function fetchGeneric(path: string): Promise<unknown> {
}
/** 根据 path 调用对应的 api 方法 */
async function callByPath(path: string, args: unknown[]): Promise<unknown> {
// eslint-disable-next-line @typescript-eslint/no-explicit-any
async function callByPath(path: string, callArgs: unknown[], signal?: AbortSignal): Promise<unknown> {
const parts = path.split('.')
// eslint-disable-next-line @typescript-eslint/no-explicit-any
let target: any = api
@@ -45,11 +50,21 @@ async function callByPath(path: string, args: unknown[]): Promise<unknown> {
target = target[part]
if (!target) throw new Error(`API method not found: ${path}`)
}
return target(...args)
// Append signal as last argument if the target is the request function
// For api.xxx() calls that ultimately use request(), we pass signal through
// The simplest approach: pass signal as part of an options bag
return target(...callArgs, signal ? { signal } : undefined)
}
export const swrFetcher = <T = unknown>(key: SwrKey): Promise<T> =>
resolveApiCall(key) as Promise<T>
/**
* SWR fetcher — 接受 SWR 自动传入的 AbortSignal
*
* 用法: useSWR(key, swrFetcher)
* SWR 会自动在组件卸载或 key 变化时 abort 请求
*/
export function swrFetcher<T = unknown>(key: SwrKey, args: SwrFetcherArgs): Promise<T> {
return resolveApiCall(key, args) as Promise<T>
}
/** 创建 SWR key helper — 类型安全 */
export function createKey<TMethod extends string>(

12
admin/src/lib/swr-provider.tsx
View File

@@ -3,6 +3,13 @@
import { SWRConfig } from 'swr'
import type { ReactNode } from 'react'
/** 判断是否为请求被中断（页面导航等场景） */
function isAbortError(err: unknown): boolean {
if (err instanceof DOMException && err.name === 'AbortError') return true
if (err instanceof Error && err.message?.includes('aborted')) return true
return false
}
export function SWRProvider({ children }: { children: ReactNode }) {
return (
<SWRConfig
@@ -12,12 +19,17 @@ export function SWRProvider({ children }: { children: ReactNode }) {
errorRetryCount: 2,
errorRetryInterval: 3000,
shouldRetryOnError: (err: unknown) => {
if (isAbortError(err)) return false
if (err && typeof err === 'object' && 'status' in err) {
const status = (err as { status: number }).status
return status !== 401 && status !== 403
}
return true
},
onError: (err: unknown) => {
// 中断错误静默忽略，不展示给用户
if (isAbortError(err)) return
},
}}
>
{children}

43
admin/src/lib/types.ts
View File

@@ -11,6 +11,7 @@ export interface AccountPublic {
role: 'super_admin' | 'admin' | 'user'
status: 'active' | 'disabled' | 'suspended'
totp_enabled: boolean
last_login_at: string | null
created_at: string
}
@@ -24,6 +25,7 @@ export interface LoginRequest {
/** 登录响应 */
export interface LoginResponse {
token: string
refresh_token: string
account: AccountPublic
}
@@ -50,10 +52,10 @@ export interface Provider {
display_name: string
api_key?: string
base_url: string
api_protocol: 'openai' | 'anthropic'
api_protocol: string
enabled: boolean
rate_limit_rpm?: number
rate_limit_tpm?: number
rate_limit_rpm: number | null
rate_limit_tpm: number | null
created_at: string
updated_at: string
}
@@ -98,15 +100,16 @@ export interface RelayTask {
account_id: string
provider_id: string
model_id: string
status: 'queued' | 'processing' | 'completed' | 'failed'
status: string
priority: number
attempt_count: number
max_attempts: number
input_tokens: number
output_tokens: number
error_message?: string
queued_at?: string
started_at?: string
completed_at?: string
error_message: string | null
queued_at: string
started_at: string | null
completed_at: string | null
created_at: string
}
@@ -131,23 +134,25 @@ export interface ConfigItem {
id: string
category: string
key_path: string
value_type: 'string' | 'number' | 'boolean'
current_value?: string | number | boolean
default_value?: string | number | boolean
source: 'default' | 'env' | 'db'
description?: string
value_type: string
current_value: string | null
default_value: string | null
source: string
description: string | null
requires_restart: boolean
created_at: string
updated_at: string
}
/** 操作日志 */
export interface OperationLog {
id: string
account_id: string
id: number
account_id: string | null
action: string
target_type: string
target_id: string
details?: string
ip_address?: string
target_type: string | null
target_id: string | null
details: Record<string, unknown> | null
ip_address: string | null
created_at: string
}

11
admin/src/lib/utils.ts
View File

@@ -32,3 +32,14 @@ export function maskApiKey(key?: string): string {
export function sleep(ms: number): Promise<void> {
return new Promise(resolve => setTimeout(resolve, ms))
}
/** 从 SWR error 中提取用户可见消息，过滤 abort 错误 */
export function getSwrErrorMessage(err: unknown): string | undefined {
if (!err) return undefined
if (err instanceof DOMException && err.name === 'AbortError') return undefined
if (err instanceof Error) {
if (err.name === 'AbortError' || err.message?.includes('aborted')) return undefined
return err.message
}
return String(err)
}

33
config/saas-development.toml Normal file
View File

@@ -0,0 +1,33 @@
# ZCLAW SaaS 开发环境配置
# 通过 ZCLAW_ENV=development 或默认使用此配置
[server]
host = "0.0.0.0"
port = 8080
cors_origins = [] # 空 = 开发模式允许所有来源
[database]
url = "postgres://postgres:123123@localhost:5432/zclaw"
[auth]
jwt_expiration_hours = 24
totp_issuer = "ZCLAW SaaS (dev)"
refresh_token_hours = 168
[relay]
max_queue_size = 1000
max_concurrent_per_provider = 5
batch_window_ms = 50
retry_delay_ms = 1000
max_attempts = 3
[rate_limit]
requests_per_minute = 120
burst = 20
[scheduler]
jobs = [
{ name = "cleanup_rate_limit", interval = "5m", task = "cleanup_rate_limit", run_on_start = false },
{ name = "cleanup_refresh_tokens", interval = "1h", task = "cleanup_refresh_tokens", run_on_start = false },
{ name = "cleanup_devices", interval = "24h", task = "cleanup_devices", run_on_start = false },
]

35
config/saas-production.toml Normal file
View File

@@ -0,0 +1,35 @@
# ZCLAW SaaS 生产环境配置
# 通过 ZCLAW_ENV=production 使用此配置
[server]
host = "0.0.0.0"
port = 8080
# 生产环境必须配置 CORS 白名单
cors_origins = ["https://admin.zclaw.ai", "https://zclaw.ai"]
[database]
# 生产环境通过 ZCLAW_DATABASE_URL 环境变量覆盖，此处为占位
url = "postgres://zclaw:CHANGE_ME@db:5432/zclaw"
[auth]
jwt_expiration_hours = 12
totp_issuer = "ZCLAW SaaS"
refresh_token_hours = 168
[relay]
max_queue_size = 5000
max_concurrent_per_provider = 10
batch_window_ms = 50
retry_delay_ms = 2000
max_attempts = 3
[rate_limit]
requests_per_minute = 60
burst = 10
[scheduler]
jobs = [
{ name = "cleanup_rate_limit", interval = "5m", task = "cleanup_rate_limit", run_on_start = false },
{ name = "cleanup_refresh_tokens", interval = "1h", task = "cleanup_refresh_tokens", run_on_start = false },
{ name = "cleanup_devices", interval = "24h", task = "cleanup_devices", run_on_start = true },
]

31
config/saas-test.toml Normal file
View File

@@ -0,0 +1,31 @@
# ZCLAW SaaS 测试环境配置
# 通过 ZCLAW_ENV=test 使用此配置
[server]
host = "127.0.0.1"
port = 8090
cors_origins = []
[database]
# 测试环境使用独立数据库
url = "postgres://postgres:123123@localhost:5432/zclaw_test"
[auth]
jwt_expiration_hours = 1
totp_issuer = "ZCLAW SaaS (test)"
refresh_token_hours = 24
[relay]
max_queue_size = 100
max_concurrent_per_provider = 2
batch_window_ms = 10
retry_delay_ms = 100
max_attempts = 2
[rate_limit]
requests_per_minute = 200
burst = 50
[scheduler]
# 测试环境不启动定时任务
jobs = []

1
crates/zclaw-saas/Cargo.toml
View File

@@ -14,6 +14,7 @@ zclaw-types = { workspace = true }
tokio = { workspace = true }
tokio-stream = { workspace = true }
futures = { workspace = true }
async-trait = { workspace = true }
serde = { workspace = true }
serde_json = { workspace = true }
toml = { workspace = true }

54
crates/zclaw-saas/src/account/handlers.rs
View File

@@ -8,6 +8,7 @@ use crate::state::AppState;
use crate::error::{SaasError, SaasResult};
use crate::auth::types::AuthContext;
use crate::auth::handlers::{log_operation, check_permission};
use crate::models::{OperationLogRow, DashboardStatsRow, DashboardTodayRow};
use super::{types::*, service};
fn require_admin(ctx: &AuthContext) -> SaasResult<()> {
@@ -143,7 +144,7 @@ pub async fn list_operation_logs(
let total: i64 = sqlx::query_scalar("SELECT COUNT(*) FROM operation_logs")
.fetch_one(&state.db).await?;
let rows: Vec<(i64, Option<String>, String, Option<String>, Option<String>, Option<String>, Option<String>, String)> =
let rows: Vec<OperationLogRow> =
sqlx::query_as(
"SELECT id, account_id, action, target_type, target_id, details, ip_address, created_at
FROM operation_logs ORDER BY created_at DESC LIMIT $1 OFFSET $2"
@@ -153,12 +154,12 @@ pub async fn list_operation_logs(
.fetch_all(&state.db)
.await?;
let items: Vec<serde_json::Value> = rows.into_iter().map(|(id, account_id, action, target_type, target_id, details, ip_address, created_at)| {
let items: Vec<serde_json::Value> = rows.into_iter().map(|r| {
serde_json::json!({
"id": id, "account_id": account_id, "action": action,
"target_type": target_type, "target_id": target_id,
"details": details.and_then(|d| serde_json::from_str::<serde_json::Value>(&d).ok()),
"ip_address": ip_address, "created_at": created_at,
"id": r.id, "account_id": r.account_id, "action": r.action,
"target_type": r.target_type, "target_id": r.target_id,
"details": r.details.and_then(|d| serde_json::from_str::<serde_json::Value>(&d).ok()),
"ip_address": r.ip_address, "created_at": r.created_at,
})
}).collect();
@@ -173,33 +174,40 @@ pub async fn dashboard_stats(
require_admin(&ctx)?;
// 查询 1: 账号 + Provider + Model 聚合 (一次查询)
let stats_row: (i64, i64, i64, i64) = sqlx::query_as(
let stats_row: DashboardStatsRow = sqlx::query_as(
"SELECT
(SELECT COUNT(*) FROM accounts) as total_accounts,
(SELECT COUNT(*) FROM accounts WHERE status = 'active') as active_accounts,
(SELECT COUNT(*) FROM providers WHERE enabled = true) as active_providers,
(SELECT COUNT(*) FROM models WHERE enabled = true) as active_models"
).fetch_one(&state.db).await?;
let (total_accounts, active_accounts, active_providers, active_models) = stats_row;
// 查询 2: 今日中转统计 (一次查询)
let today = chrono::Utc::now().format("%Y-%m-%d").to_string();
let today_row: (i64, i64, i64) = sqlx::query_as(
// 查询 2: 今日中转统计 — 使用范围查询走 B-tree 索引
let today_start = chrono::Utc::now()
.date_naive()
.and_hms_opt(0, 0, 0).unwrap()
.and_utc()
.to_rfc3339();
let tomorrow_start = (chrono::Utc::now() + chrono::Duration::days(1))
.date_naive()
.and_hms_opt(0, 0, 0).unwrap()
.and_utc()
.to_rfc3339();
let today_row: DashboardTodayRow = sqlx::query_as(
"SELECT
(SELECT COUNT(*) FROM relay_tasks WHERE SUBSTRING(created_at, 1, 10) = $1) as tasks_today,
COALESCE((SELECT SUM(input_tokens) FROM usage_records WHERE SUBSTRING(created_at, 1, 10) = $1), 0) as tokens_input,
COALESCE((SELECT SUM(output_tokens) FROM usage_records WHERE SUBSTRING(created_at, 1, 10) = $1), 0) as tokens_output"
).bind(&today).fetch_one(&state.db).await?;
let (tasks_today, tokens_today_input, tokens_today_output) = today_row;
(SELECT COUNT(*) FROM relay_tasks WHERE created_at >= $1 AND created_at < $2) as tasks_today,
COALESCE((SELECT SUM(input_tokens) FROM usage_records WHERE created_at >= $1 AND created_at < $2), 0) as tokens_input,
COALESCE((SELECT SUM(output_tokens) FROM usage_records WHERE created_at >= $1 AND created_at < $2), 0) as tokens_output"
).bind(&today_start).bind(&tomorrow_start).fetch_one(&state.db).await?;
Ok(Json(serde_json::json!({
"total_accounts": total_accounts,
"active_accounts": active_accounts,
"tasks_today": tasks_today,
"active_providers": active_providers,
"active_models": active_models,
"tokens_today_input": tokens_today_input,
"tokens_today_output": tokens_today_output,
"total_accounts": stats_row.total_accounts,
"active_accounts": stats_row.active_accounts,
"tasks_today": today_row.tasks_today,
"active_providers": stats_row.active_providers,
"active_models": stats_row.active_models,
"tokens_today_input": today_row.tokens_input,
"tokens_today_output": today_row.tokens_output,
})))
}

38
crates/zclaw-saas/src/account/service.rs
View File

@@ -3,6 +3,7 @@
use sqlx::PgPool;
use crate::error::{SaasError, SaasResult};
use crate::common::{PaginatedResponse, normalize_pagination};
use crate::models::{AccountRow, ApiTokenRow, DeviceRow};
use super::types::*;
pub async fn list_accounts(
@@ -56,7 +57,7 @@ pub async fn list_accounts(
FROM accounts {} ORDER BY created_at DESC LIMIT ${} OFFSET ${}",
where_sql, limit_idx, offset_idx
);
let mut data_query = sqlx::query_as::<_, (String, String, String, String, String, String, bool, Option<String>, String)>(&data_sql);
let mut data_query = sqlx::query_as::<_, AccountRow>(&data_sql);
for p in &params {
data_query = data_query.bind(p);
}
@@ -64,11 +65,11 @@ pub async fn list_accounts(
let items: Vec<serde_json::Value> = rows
.into_iter()
.map(|(id, username, email, display_name, role, status, totp_enabled, last_login_at, created_at)| {
.map(|r| {
serde_json::json!({
"id": id, "username": username, "email": email, "display_name": display_name,
"role": role, "status": status, "totp_enabled": totp_enabled,
"last_login_at": last_login_at, "created_at": created_at,
"id": r.id, "username": r.username, "email": r.email, "display_name": r.display_name,
"role": r.role, "status": r.status, "totp_enabled": r.totp_enabled,
"last_login_at": r.last_login_at, "created_at": r.created_at,
})
})
.collect();
@@ -77,7 +78,7 @@ pub async fn list_accounts(
}
pub async fn get_account(db: &PgPool, account_id: &str) -> SaasResult<serde_json::Value> {
let row: Option<(String, String, String, String, String, String, bool, Option<String>, String)> =
let row: Option<AccountRow> =
sqlx::query_as(
"SELECT id, username, email, display_name, role, status, totp_enabled, last_login_at, created_at
FROM accounts WHERE id = $1"
@@ -86,13 +87,12 @@ pub async fn get_account(db: &PgPool, account_id: &str) -> SaasResult<serde_json
.fetch_optional(db)
.await?;
let (id, username, email, display_name, role, status, totp_enabled, last_login_at, created_at) =
row.ok_or_else(|| SaasError::NotFound(format!("账号 {} 不存在", account_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("账号 {} 不存在", account_id)))?;
Ok(serde_json::json!({
"id": id, "username": username, "email": email, "display_name": display_name,
"role": role, "status": status, "totp_enabled": totp_enabled,
"last_login_at": last_login_at, "created_at": created_at,
"id": r.id, "username": r.username, "email": r.email, "display_name": r.display_name,
"role": r.role, "status": r.status, "totp_enabled": r.totp_enabled,
"last_login_at": r.last_login_at, "created_at": r.created_at,
}))
}
@@ -212,7 +212,7 @@ pub async fn list_api_tokens(
.fetch_one(db)
.await?;
let rows: Vec<(String, String, String, String, Option<String>, Option<String>, String)> =
let rows: Vec<ApiTokenRow> =
sqlx::query_as(
"SELECT id, name, token_prefix, permissions, last_used_at, expires_at, created_at
FROM api_tokens WHERE account_id = $1 AND revoked_at IS NULL ORDER BY created_at DESC LIMIT $2 OFFSET $3"
@@ -223,9 +223,9 @@ pub async fn list_api_tokens(
.fetch_all(db)
.await?;
let items = rows.into_iter().map(|(id, name, token_prefix, perms, last_used, expires, created)| {
let permissions: Vec<String> = serde_json::from_str(&perms).unwrap_or_default();
TokenInfo { id, name, token_prefix, permissions, last_used_at: last_used, expires_at: expires, created_at: created, token: None, }
let items = rows.into_iter().map(|r| {
let permissions: Vec<String> = serde_json::from_str(&r.permissions).unwrap_or_default();
TokenInfo { id: r.id, name: r.name, token_prefix: r.token_prefix, permissions, last_used_at: r.last_used_at, expires_at: r.expires_at, created_at: r.created_at, token: None, }
}).collect();
Ok(PaginatedResponse { items, total: total.0, page: p, page_size: ps })
@@ -246,7 +246,7 @@ pub async fn list_devices(
.fetch_one(db)
.await?;
let rows: Vec<(String, String, Option<String>, Option<String>, Option<String>, String, String)> =
let rows: Vec<DeviceRow> =
sqlx::query_as(
"SELECT id, device_id, device_name, platform, app_version, last_seen_at, created_at
FROM devices WHERE account_id = $1 ORDER BY last_seen_at DESC LIMIT $2 OFFSET $3"
@@ -259,9 +259,9 @@ pub async fn list_devices(
let items: Vec<serde_json::Value> = rows.into_iter().map(|r| {
serde_json::json!({
"id": r.0, "device_id": r.1,
"device_name": r.2, "platform": r.3, "app_version": r.4,
"last_seen_at": r.5, "created_at": r.6,
"id": r.id, "device_id": r.device_id,
"device_name": r.device_name, "platform": r.platform, "app_version": r.app_version,
"last_seen_at": r.last_seen_at, "created_at": r.created_at,
})
}).collect();

79
crates/zclaw-saas/src/auth/handlers.rs
View File

@@ -5,6 +5,7 @@ use std::net::SocketAddr;
use secrecy::ExposeSecret;
use crate::state::AppState;
use crate::error::{SaasError, SaasResult};
use crate::models::{AccountAuthRow, AccountLoginRow};
use super::{
jwt::{create_token, create_refresh_token, verify_token, verify_token_skip_expiry},
password::{hash_password, verify_password},
@@ -79,7 +80,7 @@ pub async fn register(
log_operation(&state.db, &account_id, "account.create", "account", &account_id, None, Some(&client_ip)).await?;
// 注册成功后自动签发 JWT + Refresh Token
let permissions = get_role_permissions(&state.db, &role).await?;
let permissions = get_role_permissions(&state.db, &state.role_permissions_cache, &role).await?;
let config = state.config.read().await;
let token = create_token(
&account_id, &role, permissions.clone(),
@@ -120,46 +121,33 @@ pub async fn login(
ConnectInfo(addr): ConnectInfo<SocketAddr>,
Json(req): Json<LoginRequest>,
) -> SaasResult<Json<LoginResponse>> {
let row: Option<(String, String, String, String, String, String, bool, String)> =
// 一次查询获取用户信息 + password_hash + totp_secret（合并原来的 3 次查询）
let row: Option<AccountLoginRow> =
sqlx::query_as(
"SELECT id, username, email, display_name, role, status, totp_enabled, created_at
"SELECT id, username, email, display_name, role, status, totp_enabled,
password_hash, totp_secret, created_at
FROM accounts WHERE username = $1 OR email = $1"
)
.bind(&req.username)
.fetch_optional(&state.db)
.await?;
let (id, username, email, display_name, role, status, totp_enabled, created_at) =
row.ok_or_else(|| SaasError::AuthError("用户名或密码错误".into()))?;
let r = row.ok_or_else(|| SaasError::AuthError("用户名或密码错误".into()))?;
if status != "active" {
return Err(SaasError::Forbidden(format!("账号已{}，请联系管理员", status)));
if r.status != "active" {
return Err(SaasError::Forbidden(format!("账号已{}，请联系管理员", r.status)));
}
let (password_hash,): (String,) = sqlx::query_as(
"SELECT password_hash FROM accounts WHERE id = $1"
)
.bind(&id)
.fetch_one(&state.db)
.await?;
if !verify_password(&req.password, &password_hash)? {
if !verify_password(&req.password, &r.password_hash)? {
return Err(SaasError::AuthError("用户名或密码错误".into()));
}
// TOTP 验证: 如果用户已启用 2FA，必须提供有效 TOTP 码
if totp_enabled {
if r.totp_enabled {
let code = req.totp_code.as_deref()
.ok_or_else(|| SaasError::Totp("此账号已启用双因素认证，请提供 TOTP 码".into()))?;
let (totp_secret,): (Option<String>,) = sqlx::query_as(
"SELECT totp_secret FROM accounts WHERE id = $1"
)
.bind(&id)
.fetch_one(&state.db)
.await?;
let secret = totp_secret.ok_or_else(|| {
let secret = r.totp_secret.clone().ok_or_else(|| {
SaasError::Internal("TOTP 已启用但密钥丢失，请联系管理员".into())
})?;
@@ -174,15 +162,15 @@ pub async fn login(
}
}
let permissions = get_role_permissions(&state.db, &role).await?;
let permissions = get_role_permissions(&state.db, &state.role_permissions_cache, &r.role).await?;
let config = state.config.read().await;
let token = create_token(
&id, &role, permissions.clone(),
&r.id, &r.role, permissions.clone(),
state.jwt_secret.expose_secret(),
config.auth.jwt_expiration_hours,
)?;
let refresh_token = create_refresh_token(
&id, &role, permissions,
&r.id, &r.role, permissions,
state.jwt_secret.expose_secret(),
config.auth.refresh_token_hours,
)?;
@@ -190,13 +178,13 @@ pub async fn login(
let now = chrono::Utc::now().to_rfc3339();
sqlx::query("UPDATE accounts SET last_login_at = $1 WHERE id = $2")
.bind(&now).bind(&id)
.bind(&now).bind(&r.id)
.execute(&state.db).await?;
let client_ip = addr.ip().to_string();
log_operation(&state.db, &id, "account.login", "account", &id, None, Some(&client_ip)).await?;
log_operation(&state.db, &r.id, "account.login", "account", &r.id, None, Some(&client_ip)).await?;
store_refresh_token(
&state.db, &id, &refresh_token,
&state.db, &r.id, &refresh_token,
state.jwt_secret.expose_secret(), 168,
).await?;
@@ -204,7 +192,8 @@ pub async fn login(
token,
refresh_token,
account: AccountPublic {
id, username, email, display_name, role, status, totp_enabled, created_at,
id: r.id, username: r.username, email: r.email, display_name: r.display_name,
role: r.role, status: r.status, totp_enabled: r.totp_enabled, created_at: r.created_at,
},
}))
}
@@ -260,7 +249,7 @@ pub async fn refresh(
.await?
.ok_or_else(|| SaasError::AuthError("账号不存在或已禁用".into()))?;
let permissions = get_role_permissions(&state.db, &role).await?;
let permissions = get_role_permissions(&state.db, &state.role_permissions_cache, &role).await?;
// 7. 创建新的 access token + refresh token
let config = state.config.read().await;
@@ -289,8 +278,8 @@ pub async fn refresh(
.bind(sha256_hex(&new_refresh)).bind(&refresh_expires).bind(&now)
.execute(&state.db).await?;
// 9. 清理过期/已使用的 refresh tokens (异步, 不阻塞)
cleanup_expired_refresh_tokens(&state.db).await?;
// 9. 清理过期/已使用的 refresh tokens 已迁移到 Scheduler 定期执行
// 不再在每次 refresh 时阻塞请求
Ok(Json(serde_json::json!({
"token": new_access,
@@ -303,7 +292,7 @@ pub async fn me(
State(state): State<AppState>,
axum::extract::Extension(ctx): axum::extract::Extension<AuthContext>,
) -> SaasResult<Json<AccountPublic>> {
let row: Option<(String, String, String, String, String, String, bool, String)> =
let row: Option<AccountAuthRow> =
sqlx::query_as(
"SELECT id, username, email, display_name, role, status, totp_enabled, created_at
FROM accounts WHERE id = $1"
@@ -312,11 +301,11 @@ pub async fn me(
.fetch_optional(&state.db)
.await?;
let (id, username, email, display_name, role, status, totp_enabled, created_at) =
row.ok_or_else(|| SaasError::NotFound("账号不存在".into()))?;
let r = row.ok_or_else(|| SaasError::NotFound("账号不存在".into()))?;
Ok(Json(AccountPublic {
id, username, email, display_name, role, status, totp_enabled, created_at,
id: r.id, username: r.username, email: r.email, display_name: r.display_name,
role: r.role, status: r.status, totp_enabled: r.totp_enabled, created_at: r.created_at,
}))
}
@@ -359,7 +348,16 @@ pub async fn change_password(
Ok(Json(serde_json::json!({"ok": true, "message": "密码修改成功"})))
}
pub(crate) async fn get_role_permissions(db: &sqlx::PgPool, role: &str) -> SaasResult<Vec<String>> {
pub(crate) async fn get_role_permissions(
db: &sqlx::PgPool,
cache: &dashmap::DashMap<String, Vec<String>>,
role: &str,
) -> SaasResult<Vec<String>> {
// Check cache first
if let Some(cached) = cache.get(role) {
return Ok(cached.clone());
}
let row: Option<(String,)> = sqlx::query_as(
"SELECT permissions FROM roles WHERE id = $1"
)
@@ -372,6 +370,7 @@ pub(crate) async fn get_role_permissions(db: &sqlx::PgPool, role: &str) -> SaasR
.0;
let permissions: Vec<String> = serde_json::from_str(&permissions_str)?;
cache.insert(role.to_string(), permissions.clone());
Ok(permissions)
}
@@ -438,6 +437,8 @@ async fn store_refresh_token(
}
/// 清理过期和已使用的 refresh tokens
/// 注意: 现已迁移到 Worker/Scheduler 定期执行，此函数保留作为备用
#[allow(dead_code)]
async fn cleanup_expired_refresh_tokens(db: &sqlx::PgPool) -> SaasResult<()> {
let now = chrono::Utc::now().to_rfc3339();
// 删除过期超过 30 天的已使用 token (减少 DB 膨胀)

2
crates/zclaw-saas/src/auth/mod.rs
View File

@@ -58,7 +58,7 @@ async fn verify_api_token(state: &AppState, raw_token: &str, client_ip: Option<S
.ok_or(SaasError::Unauthorized)?;
// 合并 token 权限与角色权限（去重）
let role_permissions = handlers::get_role_permissions(&state.db, &role).await?;
let role_permissions = handlers::get_role_permissions(&state.db, &state.role_permissions_cache, &role).await?;
let token_permissions: Vec<String> = serde_json::from_str(&permissions_json).unwrap_or_default();
let mut permissions = role_permissions;
for p in token_permissions {

62
crates/zclaw-saas/src/config.rs
View File

@@ -14,6 +14,37 @@ pub struct SaaSConfig {
pub relay: RelayConfig,
#[serde(default)]
pub rate_limit: RateLimitConfig,
#[serde(default)]
pub scheduler: SchedulerConfig,
}
/// Scheduler 定时任务配置
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SchedulerConfig {
#[serde(default)]
pub jobs: Vec<JobConfig>,
}
/// 单个定时任务配置
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct JobConfig {
pub name: String,
/// 间隔时间，支持 "5m", "1h", "24h", "30s" 格式
pub interval: String,
/// 对应的 Worker 名称
pub task: String,
/// 传递给 Worker 的参数（JSON 格式）
#[serde(default)]
pub args: Option<serde_json::Value>,
/// 是否在启动时立即执行
#[serde(default)]
pub run_on_start: bool,
}
impl Default for SchedulerConfig {
fn default() -> Self {
Self { jobs: Vec::new() }
}
}
/// 服务器配置
@@ -51,8 +82,10 @@ pub struct AuthConfig {
pub struct RelayConfig {
#[serde(default = "default_max_queue")]
pub max_queue_size: usize,
// TODO: implement per-provider concurrency limiting
#[serde(default = "default_max_concurrent")]
pub max_concurrent_per_provider: usize,
// TODO: implement batch window
#[serde(default = "default_batch_window")]
pub batch_window_ms: u64,
#[serde(default = "default_retry_delay")]
@@ -104,6 +137,7 @@ impl Default for SaaSConfig {
auth: AuthConfig::default(),
relay: RelayConfig::default(),
rate_limit: RateLimitConfig::default(),
scheduler: SchedulerConfig::default(),
}
}
}
@@ -147,11 +181,31 @@ impl Default for RelayConfig {
}
impl SaaSConfig {
/// 加载配置文件，优先级: 环境变量 > ZCLAW_SAAS_CONFIG > ./saas-config.toml
/// 加载配置文件，优先级: ZCLAW_SAAS_CONFIG > ZCLAW_ENV > ./saas-config.toml
///
/// ZCLAW_ENV 环境选择:
/// development → config/saas-development.toml
/// production → config/saas-production.toml
/// test → config/saas-test.toml
///
/// ZCLAW_SAAS_CONFIG 指定精确路径（最高优先级）
pub fn load() -> anyhow::Result<Self> {
let config_path = std::env::var("ZCLAW_SAAS_CONFIG")
.map(PathBuf::from)
.unwrap_or_else(|_| PathBuf::from("saas-config.toml"));
let config_path = if let Ok(path) = std::env::var("ZCLAW_SAAS_CONFIG") {
PathBuf::from(path)
} else if let Ok(env) = std::env::var("ZCLAW_ENV") {
let filename = format!("config/saas-{}.toml", env);
let path = PathBuf::from(&filename);
if !path.exists() {
anyhow::bail!(
"ZCLAW_ENV={} 指定的配置文件 {} 不存在",
env, filename
);
}
tracing::info!("Loading config for environment: {}", env);
path
} else {
PathBuf::from("saas-config.toml")
};
let mut config = if config_path.exists() {
let content = std::fs::read_to_string(&config_path)?;

18
crates/zclaw-saas/src/db.rs
View File

@@ -4,7 +4,7 @@ use sqlx::postgres::PgPoolOptions;
use sqlx::PgPool;
use crate::error::SaasResult;
const SCHEMA_VERSION: i32 = 4;
const SCHEMA_VERSION: i32 = 5;
const SCHEMA_SQL: &str = r#"
CREATE TABLE IF NOT EXISTS saas_schema_version (
@@ -337,6 +337,11 @@ CREATE TABLE IF NOT EXISTS refresh_tokens (
CREATE INDEX IF NOT EXISTS idx_refresh_account ON refresh_tokens(account_id);
CREATE INDEX IF NOT EXISTS idx_refresh_jti ON refresh_tokens(jti);
CREATE INDEX IF NOT EXISTS idx_refresh_expires ON refresh_tokens(expires_at);
-- Performance: expression indexes for date-range queries on TEXT timestamp columns
CREATE INDEX IF NOT EXISTS idx_usage_day ON usage_records((SUBSTRING(created_at, 1, 10)));
CREATE INDEX IF NOT EXISTS idx_relay_day ON relay_tasks((SUBSTRING(created_at, 1, 10)));
CREATE INDEX IF NOT EXISTS idx_relay_time ON relay_tasks(created_at);
"#;
const SEED_ROLES: &str = r#"
@@ -351,10 +356,11 @@ ON CONFLICT (id) DO NOTHING;
/// 初始化数据库
pub async fn init_db(database_url: &str) -> SaasResult<PgPool> {
let pool = PgPoolOptions::new()
.max_connections(20)
.min_connections(2)
.acquire_timeout(std::time::Duration::from_secs(5))
.idle_timeout(std::time::Duration::from_secs(600))
.max_connections(50)
.min_connections(5)
.acquire_timeout(std::time::Duration::from_secs(10))
.idle_timeout(std::time::Duration::from_secs(300))
.max_lifetime(std::time::Duration::from_secs(1800))
.connect(database_url)
.await?;
@@ -387,7 +393,7 @@ pub async fn init_db(database_url: &str) -> SaasResult<PgPool> {
/// 如果 accounts 表为空且环境变量已设置，自动创建 super_admin 账号
/// 或者更新现有 admin 用户的角色为 super_admin
async fn seed_admin_account(pool: &PgPool) -> SaasResult<()> {
pub async fn seed_admin_account(pool: &PgPool) -> SaasResult<()> {
let admin_username = std::env::var("ZCLAW_ADMIN_USERNAME")
.unwrap_or_else(|_| "admin".to_string());

4
crates/zclaw-saas/src/lib.rs
View File

@@ -8,7 +8,11 @@ pub mod crypto;
pub mod db;
pub mod error;
pub mod middleware;
pub mod models;
pub mod scheduler;
pub mod state;
pub mod tasks;
pub mod workers;
pub mod auth;
pub mod account;

75
crates/zclaw-saas/src/main.rs
View File

@@ -1,8 +1,15 @@
//! ZCLAW SaaS 服务入口
use axum::extract::State;
use tower_http::timeout::TimeoutLayer;
use tracing::info;
use zclaw_saas::{config::SaaSConfig, db::init_db, state::AppState};
use zclaw_saas::workers::WorkerDispatcher;
use zclaw_saas::workers::log_operation::LogOperationWorker;
use zclaw_saas::workers::cleanup_refresh_tokens::CleanupRefreshTokensWorker;
use zclaw_saas::workers::cleanup_rate_limit::CleanupRateLimitWorker;
use zclaw_saas::workers::record_usage::RecordUsageWorker;
use zclaw_saas::workers::update_last_used::UpdateLastUsedWorker;
#[tokio::main]
async fn main() -> anyhow::Result<()> {
@@ -19,10 +26,34 @@ async fn main() -> anyhow::Result<()> {
let db = init_db(&config.database.url).await?;
info!("Database initialized");
let state = AppState::new(db, config.clone())?;
// 初始化 Worker 调度器 + 注册所有 Worker
let mut dispatcher = WorkerDispatcher::new(db.clone());
dispatcher.register(LogOperationWorker);
dispatcher.register(CleanupRefreshTokensWorker);
dispatcher.register(CleanupRateLimitWorker);
dispatcher.register(RecordUsageWorker);
dispatcher.register(UpdateLastUsedWorker);
info!("Worker dispatcher initialized (5 workers registered)");
// 后台定时任务
spawn_background_tasks(state.clone());
let state = AppState::new(db.clone(), config.clone(), dispatcher)?;
// 启动声明式 Scheduler（从 TOML 配置读取定时任务）
let scheduler_config = &config.scheduler;
zclaw_saas::scheduler::start_scheduler(scheduler_config, db.clone(), state.worker_dispatcher.clone_ref());
info!("Scheduler started with {} jobs", scheduler_config.jobs.len());
// 启动内置 DB 清理任务（设备清理等不通过 Worker 的任务）
zclaw_saas::scheduler::start_db_cleanup_tasks(db.clone());
// 启动内存中的 rate limit 条目清理
let rate_limit_state = state.clone();
tokio::spawn(async move {
let mut interval = tokio::time::interval(std::time::Duration::from_secs(300));
loop {
interval.tick().await;
rate_limit_state.cleanup_rate_limit_entries();
}
});
let app = build_router(state).await;
@@ -51,43 +82,6 @@ async fn health_handler(State(state): State<AppState>) -> axum::Json<serde_json:
}))
}
/// 启动后台定时任务
fn spawn_background_tasks(state: AppState) {
// 每 5 分钟清理过期的限流条目
let rate_limit_state = state.clone();
tokio::spawn(async move {
let mut interval = tokio::time::interval(std::time::Duration::from_secs(300));
loop {
interval.tick().await;
rate_limit_state.cleanup_rate_limit_entries();
}
});
// 每 24 小时清理 90 天未活跃的设备
// 注意: last_seen_at 为 TEXT 类型，使用 rfc3339 字符串比较（字典序等价于时间序）
let cleanup_state = state.clone();
tokio::spawn(async move {
let mut interval = tokio::time::interval(std::time::Duration::from_secs(86400));
loop {
interval.tick().await;
let cutoff = (chrono::Utc::now() - chrono::Duration::days(90)).to_rfc3339();
match sqlx::query("DELETE FROM devices WHERE last_seen_at < $1")
.bind(&cutoff)
.execute(&cleanup_state.db)
.await
{
Ok(result) if result.rows_affected() > 0 => {
info!("Cleaned up {} stale devices", result.rows_affected());
}
Err(e) => {
tracing::warn!("Failed to cleanup stale devices: {}", e);
}
_ => {}
}
}
});
}
async fn build_router(state: AppState) -> axum::Router {
use axum::middleware;
use tower_http::cors::{Any, CorsLayer};
@@ -163,6 +157,7 @@ async fn build_router(state: AppState) -> axum::Router {
axum::Router::new()
.merge(public_routes)
.merge(protected_routes)
.layer(TimeoutLayer::new(std::time::Duration::from_secs(30)))
.layer(TraceLayer::new_for_http())
.layer(cors)
.with_state(state)

8
crates/zclaw-saas/src/middleware.rs
View File

@@ -58,10 +58,10 @@ pub async fn rate_limit_middleware(
.get::<AuthContext>()
.map(|ctx| ctx.account_id.clone())
.unwrap_or_else(|| "anonymous".to_string());
let config = state.config.read().await;
let rate_limit = config.rate_limit.requests_per_minute as usize;
// 无锁读取 rate limit 配置（避免每个请求获取 RwLock）
let rate_limit = state.rate_limit_rpm() as usize;
let key = format!("rate_limit:{}", account_id);
let now = Instant::now();

2
crates/zclaw-saas/src/migration/handlers.rs
View File

@@ -124,7 +124,7 @@ pub async fn sync_config(
/// 计算客户端与 SaaS 端的配置差异 (不修改数据)
pub async fn config_diff(
State(state): State<AppState>,
Extension(ctx): Extension<AuthContext>,
Extension(_ctx): Extension<AuthContext>,
Json(req): Json<SyncConfigRequest>,
) -> SaasResult<Json<ConfigDiffResponse>> {
// diff 操作虽然不修改数据，但涉及敏感配置信息，仍需认证用户

26
crates/zclaw-saas/src/migration/service.rs
View File

@@ -3,6 +3,7 @@
use sqlx::PgPool;
use crate::error::{SaasError, SaasResult};
use crate::common::{PaginatedResponse, normalize_pagination};
use crate::models::{ConfigItemRow, ConfigSyncLogRow};
use super::types::*;
use serde::Serialize;
@@ -31,7 +32,7 @@ pub(crate) async fn fetch_all_config_items(
}
};
let mut query_builder = sqlx::query_as::<_, (String, String, String, String, Option<String>, Option<String>, String, Option<String>, bool, String, String)>(sql);
let mut query_builder = sqlx::query_as::<_, ConfigItemRow>(sql);
if let Some(cat) = &query.category {
query_builder = query_builder.bind(cat);
@@ -41,8 +42,8 @@ pub(crate) async fn fetch_all_config_items(
}
let rows = query_builder.fetch_all(db).await?;
Ok(rows.into_iter().map(|(id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at)| {
ConfigItemInfo { id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at }
Ok(rows.into_iter().map(|r| {
ConfigItemInfo { id: r.id, category: r.category, key_path: r.key_path, value_type: r.value_type, current_value: r.current_value, default_value: r.default_value, source: r.source, description: r.description, requires_restart: r.requires_restart, created_at: r.created_at, updated_at: r.updated_at }
}).collect())
}
@@ -81,20 +82,20 @@ pub async fn list_config_items(
if has_source { count_query = count_query.bind(&query.source); }
let total: i64 = count_query.fetch_one(db).await?;
let mut data_query = sqlx::query_as::<_, (String, String, String, String, Option<String>, Option<String>, String, Option<String>, bool, String, String)>(&data_sql);
let mut data_query = sqlx::query_as::<_, ConfigItemRow>(&data_sql);
if has_category { data_query = data_query.bind(&query.category); }
if has_source { data_query = data_query.bind(&query.source); }
let rows = data_query.bind(ps as i64).bind(offset).fetch_all(db).await?;
let items = rows.into_iter().map(|(id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at)| {
ConfigItemInfo { id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at }
let items = rows.into_iter().map(|r| {
ConfigItemInfo { id: r.id, category: r.category, key_path: r.key_path, value_type: r.value_type, current_value: r.current_value, default_value: r.default_value, source: r.source, description: r.description, requires_restart: r.requires_restart, created_at: r.created_at, updated_at: r.updated_at }
}).collect();
Ok(PaginatedResponse { items, total, page: p, page_size: ps })
}
pub async fn get_config_item(db: &PgPool, item_id: &str) -> SaasResult<ConfigItemInfo> {
let row: Option<(String, String, String, String, Option<String>, Option<String>, String, Option<String>, bool, String, String)> =
let row: Option<ConfigItemRow> =
sqlx::query_as(
"SELECT id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at
FROM config_items WHERE id = $1"
@@ -103,10 +104,9 @@ pub async fn get_config_item(db: &PgPool, item_id: &str) -> SaasResult<ConfigIte
.fetch_optional(db)
.await?;
let (id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("配置项 {} 不存在", item_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("配置项 {} 不存在", item_id)))?;
Ok(ConfigItemInfo { id, category, key_path, value_type, current_value, default_value, source, description, requires_restart, created_at, updated_at })
Ok(ConfigItemInfo { id: r.id, category: r.category, key_path: r.key_path, value_type: r.value_type, current_value: r.current_value, default_value: r.default_value, source: r.source, description: r.description, requires_restart: r.requires_restart, created_at: r.created_at, updated_at: r.updated_at })
}
pub async fn create_config_item(
@@ -451,7 +451,7 @@ pub async fn list_sync_logs(
.fetch_one(db)
.await?;
let rows: Vec<(i64, String, String, String, String, Option<String>, Option<String>, Option<String>, String)> =
let rows: Vec<ConfigSyncLogRow> =
sqlx::query_as(
"SELECT id, account_id, client_fingerprint, action, config_keys, client_values, saas_values, resolution, created_at
FROM config_sync_log WHERE account_id = $1 ORDER BY created_at DESC LIMIT $2 OFFSET $3"
@@ -462,8 +462,8 @@ pub async fn list_sync_logs(
.fetch_all(db)
.await?;
let items = rows.into_iter().map(|(id, account_id, client_fingerprint, action, config_keys, client_values, saas_values, resolution, created_at)| {
ConfigSyncLogInfo { id, account_id, client_fingerprint, action, config_keys, client_values, saas_values, resolution, created_at }
let items = rows.into_iter().map(|r| {
ConfigSyncLogInfo { id: r.id, account_id: r.account_id, client_fingerprint: r.client_fingerprint, action: r.action, config_keys: r.config_keys, client_values: r.client_values, saas_values: r.saas_values, resolution: r.resolution, created_at: r.created_at }
}).collect();
Ok(crate::common::PaginatedResponse { items, total: total.0, page, page_size })

63
crates/zclaw-saas/src/model_config/service.rs
View File

@@ -4,6 +4,7 @@ use sqlx::{PgPool, Row};
use crate::error::{SaasError, SaasResult};
use crate::common::{PaginatedResponse, normalize_pagination};
use crate::crypto;
use crate::models::{ProviderRow, ModelRow, AccountApiKeyRow, UsageByModelRow, UsageByDayRow};
use super::types::*;
// ============ Providers ============
@@ -33,7 +34,7 @@ pub async fn list_providers(
sqlx::query_as(count_sql).fetch_one(db).await?
};
let rows: Vec<(String, String, String, String, String, bool, Option<i64>, Option<i64>, String, String)> =
let rows: Vec<ProviderRow> =
if let Some(en) = enabled_filter {
sqlx::query_as(data_sql)
.bind(en).bind(ps as i64).bind(offset)
@@ -44,15 +45,15 @@ pub async fn list_providers(
.fetch_all(db).await?
};
let items = rows.into_iter().map(|(id, name, display_name, base_url, api_protocol, enabled, rpm, tpm, created_at, updated_at)| {
ProviderInfo { id, name, display_name, base_url, api_protocol, enabled, rate_limit_rpm: rpm, rate_limit_tpm: tpm, created_at, updated_at }
let items = rows.into_iter().map(|r| {
ProviderInfo { id: r.id, name: r.name, display_name: r.display_name, base_url: r.base_url, api_protocol: r.api_protocol, enabled: r.enabled, rate_limit_rpm: r.rate_limit_rpm, rate_limit_tpm: r.rate_limit_tpm, created_at: r.created_at, updated_at: r.updated_at }
}).collect();
Ok(PaginatedResponse { items, total: total.0, page: p, page_size: ps })
}
pub async fn get_provider(db: &PgPool, provider_id: &str) -> SaasResult<ProviderInfo> {
let row: Option<(String, String, String, String, String, bool, Option<i64>, Option<i64>, String, String)> =
let row: Option<ProviderRow> =
sqlx::query_as(
"SELECT id, name, display_name, base_url, api_protocol, enabled, rate_limit_rpm, rate_limit_tpm, created_at, updated_at
FROM providers WHERE id = $1"
@@ -61,10 +62,9 @@ pub async fn get_provider(db: &PgPool, provider_id: &str) -> SaasResult<Provider
.fetch_optional(db)
.await?;
let (id, name, display_name, base_url, api_protocol, enabled, rpm, tpm, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("Provider {} 不存在", provider_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("Provider {} 不存在", provider_id)))?;
Ok(ProviderInfo { id, name, display_name, base_url, api_protocol, enabled, rate_limit_rpm: rpm, rate_limit_tpm: tpm, created_at, updated_at })
Ok(ProviderInfo { id: r.id, name: r.name, display_name: r.display_name, base_url: r.base_url, api_protocol: r.api_protocol, enabled: r.enabled, rate_limit_rpm: r.rate_limit_rpm, rate_limit_tpm: r.rate_limit_tpm, created_at: r.created_at, updated_at: r.updated_at })
}
pub async fn create_provider(db: &PgPool, req: &CreateProviderRequest, enc_key: &[u8; 32]) -> SaasResult<ProviderInfo> {
@@ -175,14 +175,14 @@ pub async fn list_models(
sqlx::query_as(count_sql).fetch_one(db).await?
};
let mut query = sqlx::query_as::<_, (String, String, String, String, i64, i64, bool, bool, bool, f64, f64, String, String)>(data_sql);
let mut query = sqlx::query_as::<_, ModelRow>(data_sql);
if let Some(pid) = provider_id {
query = query.bind(pid);
}
let rows = query.bind(ps as i64).bind(offset).fetch_all(db).await?;
let items = rows.into_iter().map(|(id, provider_id, model_id, alias, ctx, max_out, streaming, vision, enabled, pi, po, created_at, updated_at)| {
ModelInfo { id, provider_id, model_id, alias, context_window: ctx, max_output_tokens: max_out, supports_streaming: streaming, supports_vision: vision, enabled, pricing_input: pi, pricing_output: po, created_at, updated_at }
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 }
}).collect();
Ok(PaginatedResponse { items, total: total.0, page: p, page_size: ps })
@@ -227,7 +227,7 @@ 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<(String, String, String, String, i64, i64, bool, bool, bool, f64, f64, String, String)> =
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, updated_at
FROM models WHERE id = $1"
@@ -236,10 +236,9 @@ pub async fn get_model(db: &PgPool, model_id: &str) -> SaasResult<ModelInfo> {
.fetch_optional(db)
.await?;
let (id, provider_id, model_id, alias, ctx, max_out, streaming, vision, enabled, pi, po, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("模型 {} 不存在", model_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("模型 {} 不存在", model_id)))?;
Ok(ModelInfo { id, provider_id, model_id, alias, context_window: ctx, max_output_tokens: max_out, supports_streaming: streaming, supports_vision: vision, enabled, pricing_input: pi, pricing_output: po, created_at, 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, 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(
@@ -319,17 +318,17 @@ pub async fn list_account_api_keys(
sqlx::query_as(count_sql).bind(account_id).fetch_one(db).await?
};
let mut query = sqlx::query_as::<_, (String, String, Option<String>, String, bool, Option<String>, String, String)>(data_sql)
let mut query = sqlx::query_as::<_, AccountApiKeyRow>(data_sql)
.bind(account_id);
if let Some(pid) = provider_id {
query = query.bind(pid);
}
let rows = query.bind(ps as i64).bind(offset).fetch_all(db).await?;
let items = rows.into_iter().map(|(id, provider_id, key_label, perms, enabled, last_used, created_at, key_value)| {
let permissions: Vec<String> = serde_json::from_str(&perms).unwrap_or_default();
let masked = mask_api_key(&key_value);
AccountApiKeyInfo { id, provider_id, key_label, permissions, enabled, last_used_at: last_used, created_at, masked_key: masked }
let items = rows.into_iter().map(|r| {
let permissions: Vec<String> = serde_json::from_str(&r.permissions).unwrap_or_default();
let masked = mask_api_key(&r.key_value);
AccountApiKeyInfo { id: r.id, provider_id: r.provider_id, key_label: r.key_label, permissions, enabled: r.enabled, last_used_at: r.last_used_at, created_at: r.created_at, masked_key: masked }
}).collect();
Ok(PaginatedResponse { items, total: total.0, page: p, page_size: ps })
@@ -445,34 +444,36 @@ pub async fn get_usage_stats(
// 按模型统计
let by_model_sql = format!(
"SELECT provider_id, model_id, COUNT(*)::bigint, COALESCE(SUM(input_tokens), 0), COALESCE(SUM(output_tokens), 0)
"SELECT provider_id, model_id, COUNT(*)::bigint AS request_count, COALESCE(SUM(input_tokens), 0) AS input_tokens, COALESCE(SUM(output_tokens), 0) AS output_tokens
FROM usage_records WHERE {} GROUP BY provider_id, model_id ORDER BY COUNT(*) DESC LIMIT 20",
where_sql
);
let mut by_model_query = sqlx::query_as::<_, (String, String, i64, i64, i64)>(&by_model_sql);
let mut by_model_query = sqlx::query_as::<_, UsageByModelRow>(&by_model_sql);
for p in &params {
by_model_query = by_model_query.bind(p);
}
let by_model_rows = by_model_query.fetch_all(db).await?;
let by_model: Vec<ModelUsage> = by_model_rows.into_iter()
.map(|(provider_id, model_id, count, input, output)| {
ModelUsage { provider_id, model_id, request_count: count, input_tokens: input, output_tokens: output }
.map(|r| {
ModelUsage { provider_id: r.provider_id, model_id: r.model_id, request_count: r.request_count, input_tokens: r.input_tokens, output_tokens: r.output_tokens }
}).collect();
// 按天统计 (使用 days 参数或默认 30 天)
let days = query.days.unwrap_or(30).min(365).max(1) as i64;
let from_days = (chrono::Utc::now() - chrono::Duration::days(days)).format("%Y-%m-%d").to_string() + "T00:00:00Z";
let daily_sql = format!(
"SELECT SUBSTRING(created_at, 1, 10) as day, COUNT(*)::bigint, COALESCE(SUM(input_tokens), 0), COALESCE(SUM(output_tokens), 0)
let from_days = (chrono::Utc::now() - chrono::Duration::days(days))
.date_naive()
.and_hms_opt(0, 0, 0).unwrap()
.and_utc()
.to_rfc3339();
let daily_sql = "SELECT SUBSTRING(created_at, 1, 10) as day, COUNT(*)::bigint AS request_count, COALESCE(SUM(input_tokens), 0) AS input_tokens, COALESCE(SUM(output_tokens), 0) AS output_tokens
FROM usage_records WHERE account_id = $1 AND created_at >= $2
GROUP BY SUBSTRING(created_at, 1, 10) ORDER BY day DESC LIMIT $3"
);
let daily_rows: Vec<(String, i64, i64, i64)> = sqlx::query_as(&daily_sql)
GROUP BY SUBSTRING(created_at, 1, 10) ORDER BY day DESC LIMIT $3";
let daily_rows: Vec<UsageByDayRow> = sqlx::query_as(daily_sql)
.bind(account_id).bind(&from_days).bind(days as i32)
.fetch_all(db).await?;
let by_day: Vec<DailyUsage> = daily_rows.into_iter()
.map(|(date, count, input, output)| {
DailyUsage { date, request_count: count, input_tokens: input, output_tokens: output }
.map(|r| {
DailyUsage { date: r.day, request_count: r.request_count, input_tokens: r.input_tokens, output_tokens: r.output_tokens }
}).collect();
// 按 group_by 过滤返回

75
crates/zclaw-saas/src/models/account.rs Normal file
View File

@@ -0,0 +1,75 @@
//! Account 表相关模型
use sqlx::FromRow;
/// accounts 表完整行 (含 last_login_at)
#[derive(Debug, FromRow)]
pub struct AccountRow {
pub id: String,
pub username: String,
pub email: String,
pub display_name: String,
pub role: String,
pub status: String,
pub totp_enabled: bool,
pub last_login_at: Option<String>,
pub created_at: String,
}
/// accounts 表行 (不含 last_login_at，用于 auth/me 等场景)
#[derive(Debug, FromRow)]
pub struct AccountAuthRow {
pub id: String,
pub username: String,
pub email: String,
pub display_name: String,
pub role: String,
pub status: String,
pub totp_enabled: bool,
pub created_at: String,
}
/// Login 一次性查询行（合并用户信息 + password_hash + totp_secret）
#[derive(Debug, FromRow)]
pub struct AccountLoginRow {
pub id: String,
pub username: String,
pub email: String,
pub display_name: String,
pub role: String,
pub status: String,
pub totp_enabled: bool,
pub password_hash: String,
pub totp_secret: Option<String>,
pub created_at: String,
}
/// operation_logs 表行
#[derive(Debug, FromRow)]
pub struct OperationLogRow {
pub id: i64,
pub account_id: Option<String>,
pub action: String,
pub target_type: Option<String>,
pub target_id: Option<String>,
pub details: Option<String>,
pub ip_address: Option<String>,
pub created_at: String,
}
/// Dashboard 统计聚合行
#[derive(Debug, FromRow)]
pub struct DashboardStatsRow {
pub total_accounts: i64,
pub active_accounts: i64,
pub active_providers: i64,
pub active_models: i64,
}
/// Dashboard 今日统计聚合行
#[derive(Debug, FromRow)]
pub struct DashboardTodayRow {
pub tasks_today: i64,
pub tokens_input: i64,
pub tokens_output: i64,
}

15
crates/zclaw-saas/src/models/api_token.rs Normal file
View File

@@ -0,0 +1,15 @@
//! api_tokens 表相关模型
use sqlx::FromRow;
/// api_tokens 表行 (用于列表查询)
#[derive(Debug, FromRow)]
pub struct ApiTokenRow {
pub id: String,
pub name: String,
pub token_prefix: String,
pub permissions: String,
pub last_used_at: Option<String>,
pub expires_at: Option<String>,
pub created_at: String,
}

33
crates/zclaw-saas/src/models/config.rs Normal file
View File

@@ -0,0 +1,33 @@
//! config_items + config_sync_log 表相关模型
use sqlx::FromRow;
/// config_items 表行
#[derive(Debug, FromRow)]
pub struct ConfigItemRow {
pub id: String,
pub category: String,
pub key_path: String,
pub value_type: String,
pub current_value: Option<String>,
pub default_value: Option<String>,
pub source: String,
pub description: Option<String>,
pub requires_restart: bool,
pub created_at: String,
pub updated_at: String,
}
/// config_sync_log 表行
#[derive(Debug, FromRow)]
pub struct ConfigSyncLogRow {
pub id: i64,
pub account_id: String,
pub client_fingerprint: String,
pub action: String,
pub config_keys: String,
pub client_values: Option<String>,
pub saas_values: Option<String>,
pub resolution: Option<String>,
pub created_at: String,
}

15
crates/zclaw-saas/src/models/device.rs Normal file
View File

@@ -0,0 +1,15 @@
//! devices 表相关模型
use sqlx::FromRow;
/// devices 表行
#[derive(Debug, FromRow)]
pub struct DeviceRow {
pub id: String,
pub device_id: String,
pub device_name: Option<String>,
pub platform: Option<String>,
pub app_version: Option<String>,
pub last_seen_at: String,
pub created_at: String,
}

33
crates/zclaw-saas/src/models/mod.rs Normal file
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@@ -0,0 +1,33 @@
//! 类型化数据库模型 (sqlx::FromRow)
//!
//! 替代原始元组解构 `(String, String, ...)`，提供编译期字段检查。
//! 每个结构体对应一个数据库查询结果，字段名与 SQL 列名一致。
pub mod account;
pub mod api_token;
pub mod config;
pub mod device;
pub mod model;
pub mod permission_template;
pub mod prompt;
pub mod provider;
pub mod provider_key;
pub mod relay_task;
pub mod role;
pub mod telemetry;
pub mod usage;
// Re-export all row types for convenient access
pub use account::*;
pub use api_token::*;
pub use config::*;
pub use device::*;
pub use model::*;
pub use permission_template::*;
pub use prompt::*;
pub use provider::*;
pub use provider_key::*;
pub use relay_task::*;
pub use role::*;
pub use telemetry::*;
pub use usage::*;

34
crates/zclaw-saas/src/models/model.rs Normal file
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@@ -0,0 +1,34 @@
//! models + account_api_keys 表相关模型
use sqlx::FromRow;
/// models 表行
#[derive(Debug, FromRow)]
pub struct ModelRow {
pub id: String,
pub provider_id: String,
pub model_id: String,
pub alias: String,
pub context_window: i64,
pub max_output_tokens: i64,
pub supports_streaming: bool,
pub supports_vision: bool,
pub enabled: bool,
pub pricing_input: f64,
pub pricing_output: f64,
pub created_at: String,
pub updated_at: String,
}
/// account_api_keys 表行
#[derive(Debug, FromRow)]
pub struct AccountApiKeyRow {
pub id: String,
pub provider_id: String,
pub key_label: Option<String>,
pub permissions: String,
pub enabled: bool,
pub last_used_at: Option<String>,
pub created_at: String,
pub key_value: String,
}

14
crates/zclaw-saas/src/models/permission_template.rs Normal file
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@@ -0,0 +1,14 @@
//! permission_templates 表相关模型
use sqlx::FromRow;
/// permission_templates 表行
#[derive(Debug, FromRow)]
pub struct PermissionTemplateRow {
pub id: String,
pub name: String,
pub description: Option<String>,
pub permissions: String,
pub created_at: String,
pub updated_at: String,
}

31
crates/zclaw-saas/src/models/prompt.rs Normal file
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@@ -0,0 +1,31 @@
//! prompt_templates + prompt_versions 表相关模型
use sqlx::FromRow;
/// prompt_templates 表行
#[derive(Debug, FromRow)]
pub struct PromptTemplateRow {
pub id: String,
pub name: String,
pub category: String,
pub description: Option<String>,
pub source: String,
pub current_version: i32,
pub status: String,
pub created_at: String,
pub updated_at: String,
}
/// prompt_versions 表行
#[derive(Debug, FromRow)]
pub struct PromptVersionRow {
pub id: String,
pub template_id: String,
pub version: i32,
pub system_prompt: String,
pub user_prompt_template: Option<String>,
pub variables: String,
pub changelog: Option<String>,
pub min_app_version: Option<String>,
pub created_at: String,
}

18
crates/zclaw-saas/src/models/provider.rs Normal file
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@@ -0,0 +1,18 @@
//! providers 表相关模型
use sqlx::FromRow;
/// providers 表行
#[derive(Debug, FromRow)]
pub struct ProviderRow {
pub id: String,
pub name: String,
pub display_name: String,
pub base_url: String,
pub api_protocol: String,
pub enabled: bool,
pub rate_limit_rpm: Option<i64>,
pub rate_limit_tpm: Option<i64>,
pub created_at: String,
pub updated_at: String,
}

33
crates/zclaw-saas/src/models/provider_key.rs Normal file
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@@ -0,0 +1,33 @@
//! provider_keys + key_usage_window 表相关模型
use sqlx::FromRow;
/// provider_keys 精选行 (用于 select_best_key)
#[derive(Debug, FromRow)]
pub struct ProviderKeySelectRow {
pub id: String,
pub key_value: String,
pub priority: i32,
pub max_rpm: Option<i64>,
pub max_tpm: Option<i64>,
pub quota_reset_interval: Option<String>,
}
/// provider_keys 完整行 (用于列表查询)
#[derive(Debug, FromRow)]
pub struct ProviderKeyRow {
pub id: String,
pub provider_id: String,
pub key_label: String,
pub priority: i32,
pub max_rpm: Option<i64>,
pub max_tpm: Option<i64>,
pub quota_reset_interval: Option<String>,
pub is_active: bool,
pub last_429_at: Option<String>,
pub cooldown_until: Option<String>,
pub total_requests: i64,
pub total_tokens: i64,
pub created_at: String,
pub updated_at: String,
}

23
crates/zclaw-saas/src/models/relay_task.rs Normal file
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@@ -0,0 +1,23 @@
//! relay_tasks 表相关模型
use sqlx::FromRow;
/// relay_tasks 表行
#[derive(Debug, FromRow)]
pub struct RelayTaskRow {
pub id: String,
pub account_id: String,
pub provider_id: String,
pub model_id: String,
pub status: String,
pub priority: i64,
pub attempt_count: i64,
pub max_attempts: i64,
pub input_tokens: i64,
pub output_tokens: i64,
pub error_message: Option<String>,
pub queued_at: String,
pub started_at: Option<String>,
pub completed_at: Option<String>,
pub created_at: String,
}

15
crates/zclaw-saas/src/models/role.rs Normal file
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@@ -0,0 +1,15 @@
//! roles 表相关模型
use sqlx::FromRow;
/// roles 表行
#[derive(Debug, FromRow)]
pub struct RoleRow {
pub id: String,
pub name: String,
pub description: Option<String>,
pub permissions: String,
pub is_system: bool,
pub created_at: String,
pub updated_at: String,
}

24
crates/zclaw-saas/src/models/telemetry.rs Normal file
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@@ -0,0 +1,24 @@
//! telemetry_reports 表相关模型
use sqlx::FromRow;
/// telemetry 按 model 分组统计
#[derive(Debug, FromRow)]
pub struct TelemetryModelStatsRow {
pub model_id: String,
pub request_count: i64,
pub input_tokens: i64,
pub output_tokens: i64,
pub avg_latency_ms: Option<f64>,
pub success_rate: Option<f64>,
}
/// telemetry 按天分组统计
#[derive(Debug, FromRow)]
pub struct TelemetryDailyStatsRow {
pub day: String,
pub request_count: i64,
pub input_tokens: i64,
pub output_tokens: i64,
pub unique_devices: i64,
}

22
crates/zclaw-saas/src/models/usage.rs Normal file
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@@ -0,0 +1,22 @@
//! usage_records 表相关聚合模型
use sqlx::FromRow;
/// usage 按 model 分组统计
#[derive(Debug, FromRow)]
pub struct UsageByModelRow {
pub provider_id: String,
pub model_id: String,
pub request_count: i64,
pub input_tokens: i64,
pub output_tokens: i64,
}
/// usage 按天分组统计
#[derive(Debug, FromRow)]
pub struct UsageByDayRow {
pub day: String,
pub request_count: i64,
pub input_tokens: i64,
pub output_tokens: i64,
}

101
crates/zclaw-saas/src/prompt/service.rs
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@@ -4,6 +4,7 @@ use sqlx::PgPool;
use crate::error::{SaasError, SaasResult};
use crate::common::PaginatedResponse;
use crate::common::normalize_pagination;
use crate::models::{PromptTemplateRow, PromptVersionRow};
use super::types::*;
/// 创建提示词模板 + 初始版本
@@ -50,30 +51,28 @@ pub async fn create_template(
/// 获取单个模板
pub async fn get_template(db: &PgPool, id: &str) -> SaasResult<PromptTemplateInfo> {
let row: Option<(String, String, String, Option<String>, String, i32, String, String, String)> =
let row: Option<PromptTemplateRow> =
sqlx::query_as(
"SELECT id, name, category, description, source, current_version, status, created_at, updated_at
FROM prompt_templates WHERE id = $1"
).bind(id).fetch_optional(db).await?;
let (id, name, category, description, source, current_version, status, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("提示词模板 {} 不存在", id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("提示词模板 {} 不存在", id)))?;
Ok(PromptTemplateInfo { id, name, category, description, source, current_version, status, created_at, updated_at })
Ok(PromptTemplateInfo { id: r.id, name: r.name, category: r.category, description: r.description, source: r.source, current_version: r.current_version, status: r.status, created_at: r.created_at, updated_at: r.updated_at })
}
/// 按名称获取模板
pub async fn get_template_by_name(db: &PgPool, name: &str) -> SaasResult<PromptTemplateInfo> {
let row: Option<(String, String, String, Option<String>, String, i32, String, String, String)> =
let row: Option<PromptTemplateRow> =
sqlx::query_as(
"SELECT id, name, category, description, source, current_version, status, created_at, updated_at
FROM prompt_templates WHERE name = $1"
).bind(name).fetch_optional(db).await?;
let (id, name, category, description, source, current_version, status, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("提示词模板 '{}' 不存在", name)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("提示词模板 '{}' 不存在", name)))?;
Ok(PromptTemplateInfo { id, name, category, description, source, current_version, status, created_at, updated_at })
Ok(PromptTemplateInfo { id: r.id, name: r.name, category: r.category, description: r.description, source: r.source, current_version: r.current_version, status: r.status, created_at: r.created_at, updated_at: r.updated_at })
}
/// 列表模板
@@ -83,35 +82,59 @@ pub async fn list_templates(
) -> SaasResult<PaginatedResponse<PromptTemplateInfo>> {
let (page, page_size, offset) = normalize_pagination(query.page, query.page_size);
let mut where_clauses = vec!["1=1".to_string()];
let mut count_sql = String::from("SELECT COUNT(*) FROM prompt_templates WHERE ");
let mut data_sql = String::from(
"SELECT id, name, category, description, source, current_version, status, created_at, updated_at
FROM prompt_templates WHERE "
);
// 使用参数化查询构建，防止 SQL 注入
let mut param_idx = 1usize;
let mut conditions = Vec::new();
let mut cat_bind: Option<String> = None;
let mut src_bind: Option<String> = None;
let mut status_bind: Option<String> = None;
if let Some(ref cat) = query.category {
where_clauses.push(format!("category = '{}'", cat.replace('\'', "''")));
conditions.push(format!("category = ${}", param_idx));
cat_bind = Some(cat.clone());
param_idx += 1;
}
if let Some(ref src) = query.source {
where_clauses.push(format!("source = '{}'", src.replace('\'', "''")));
conditions.push(format!("source = ${}", param_idx));
src_bind = Some(src.clone());
param_idx += 1;
}
if let Some(ref st) = query.status {
where_clauses.push(format!("status = '{}'", st.replace('\'', "''")));
conditions.push(format!("status = ${}", param_idx));
status_bind = Some(st.clone());
param_idx += 1;
}
let where_clause = where_clauses.join(" AND ");
count_sql.push_str(&where_clause);
data_sql.push_str(&where_clause);
data_sql.push_str(&format!(" ORDER BY updated_at DESC LIMIT {} OFFSET {}", page_size, offset));
let where_clause = if conditions.is_empty() {
"1=1".to_string()
} else {
conditions.join(" AND ")
};
let total: i64 = sqlx::query_scalar(&count_sql).fetch_one(db).await?;
let count_sql = format!("SELECT COUNT(*) FROM prompt_templates WHERE {}", where_clause);
let data_sql = format!(
"SELECT id, name, category, description, source, current_version, status, created_at, updated_at \
FROM prompt_templates WHERE {} ORDER BY updated_at DESC LIMIT {} OFFSET {}",
where_clause, page_size, offset
);
let rows: Vec<(String, String, String, Option<String>, String, i32, String, String, String)> =
sqlx::query_as(&data_sql).fetch_all(db).await?;
// 动态绑定参数到 count 查询
let mut count_query = sqlx::query_scalar::<_, i64>(&count_sql);
if let Some(ref v) = cat_bind { count_query = count_query.bind(v); }
if let Some(ref v) = src_bind { count_query = count_query.bind(v); }
if let Some(ref v) = status_bind { count_query = count_query.bind(v); }
let total = count_query.fetch_one(db).await?;
let items: Vec<PromptTemplateInfo> = rows.into_iter().map(|(id, name, category, description, source, current_version, status, created_at, updated_at)| {
PromptTemplateInfo { id, name, category, description, source, current_version, status, created_at, updated_at }
// 动态绑定参数到 data 查询
let mut data_query = sqlx::query_as::<_, PromptTemplateRow>(&data_sql);
if let Some(ref v) = cat_bind { data_query = data_query.bind(v); }
if let Some(ref v) = src_bind { data_query = data_query.bind(v); }
if let Some(ref v) = status_bind { data_query = data_query.bind(v); }
data_query = data_query.bind(page_size as i64).bind(offset as i64);
let rows = data_query.fetch_all(db).await?;
let items: Vec<PromptTemplateInfo> = rows.into_iter().map(|r| {
PromptTemplateInfo { id: r.id, name: r.name, category: r.category, description: r.description, source: r.source, current_version: r.current_version, status: r.status, created_at: r.created_at, updated_at: r.updated_at }
}).collect();
Ok(PaginatedResponse { items, total, page, page_size })
@@ -177,36 +200,34 @@ pub async fn create_version(
/// 获取特定版本
pub async fn get_version(db: &PgPool, version_id: &str) -> SaasResult<PromptVersionInfo> {
let row: Option<(String, String, i32, String, Option<String>, String, Option<String>, Option<String>, String)> =
let row: Option<PromptVersionRow> =
sqlx::query_as(
"SELECT id, template_id, version, system_prompt, user_prompt_template, variables, changelog, min_app_version, created_at
FROM prompt_versions WHERE id = $1"
).bind(version_id).fetch_optional(db).await?;
let (id, template_id, version, system_prompt, user_prompt_template, variables_str, changelog, min_app_version, created_at) =
row.ok_or_else(|| SaasError::NotFound(format!("提示词版本 {} 不存在", version_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("提示词版本 {} 不存在", version_id)))?;
let variables: serde_json::Value = serde_json::from_str(&variables_str).unwrap_or(serde_json::json!([]));
let variables: serde_json::Value = serde_json::from_str(&r.variables).unwrap_or(serde_json::json!([]));
Ok(PromptVersionInfo { id, template_id, version, system_prompt, user_prompt_template, variables, changelog, min_app_version, created_at })
Ok(PromptVersionInfo { id: r.id, template_id: r.template_id, version: r.version, system_prompt: r.system_prompt, user_prompt_template: r.user_prompt_template, variables, changelog: r.changelog, min_app_version: r.min_app_version, created_at: r.created_at })
}
/// 获取模板的当前版本内容
pub async fn get_current_version(db: &PgPool, template_name: &str) -> SaasResult<PromptVersionInfo> {
let tmpl = get_template_by_name(db, template_name).await?;
let row: Option<(String, String, i32, String, Option<String>, String, Option<String>, Option<String>, String)> =
let row: Option<PromptVersionRow> =
sqlx::query_as(
"SELECT id, template_id, version, system_prompt, user_prompt_template, variables, changelog, min_app_version, created_at
FROM prompt_versions WHERE template_id = $1 AND version = $2"
).bind(&tmpl.id).bind(tmpl.current_version).fetch_optional(db).await?;
let (id, template_id, version, system_prompt, user_prompt_template, variables_str, changelog, min_app_version, created_at) =
row.ok_or_else(|| SaasError::NotFound(format!("提示词 '{}' 的版本 {} 不存在", template_name, tmpl.current_version)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("提示词 '{}' 的版本 {} 不存在", template_name, tmpl.current_version)))?;
let variables: serde_json::Value = serde_json::from_str(&variables_str).unwrap_or(serde_json::json!([]));
let variables: serde_json::Value = serde_json::from_str(&r.variables).unwrap_or(serde_json::json!([]));
Ok(PromptVersionInfo { id, template_id, version, system_prompt, user_prompt_template, variables, changelog, min_app_version, created_at })
Ok(PromptVersionInfo { id: r.id, template_id: r.template_id, version: r.version, system_prompt: r.system_prompt, user_prompt_template: r.user_prompt_template, variables, changelog: r.changelog, min_app_version: r.min_app_version, created_at: r.created_at })
}
/// 列出模板的所有版本
@@ -214,15 +235,15 @@ pub async fn list_versions(
db: &PgPool,
template_id: &str,
) -> SaasResult<Vec<PromptVersionInfo>> {
let rows: Vec<(String, String, i32, String, Option<String>, String, Option<String>, Option<String>, String)> =
let rows: Vec<PromptVersionRow> =
sqlx::query_as(
"SELECT id, template_id, version, system_prompt, user_prompt_template, variables, changelog, min_app_version, created_at
FROM prompt_versions WHERE template_id = $1 ORDER BY version DESC"
).bind(template_id).fetch_all(db).await?;
Ok(rows.into_iter().map(|(id, template_id, version, system_prompt, user_prompt_template, variables_str, changelog, min_app_version, created_at)| {
let variables = serde_json::from_str(&variables_str).unwrap_or(serde_json::json!([]));
PromptVersionInfo { id, template_id, version, system_prompt, user_prompt_template, variables, changelog, min_app_version, created_at }
Ok(rows.into_iter().map(|r| {
let variables = serde_json::from_str(&r.variables).unwrap_or(serde_json::json!([]));
PromptVersionInfo { id: r.id, template_id: r.template_id, version: r.version, system_prompt: r.system_prompt, user_prompt_template: r.user_prompt_template, variables, changelog: r.changelog, min_app_version: r.min_app_version, created_at: r.created_at }
}).collect())
}

155
crates/zclaw-saas/src/relay/handlers.rs
View File

@@ -23,8 +23,11 @@ pub async fn chat_completions(
) -> SaasResult<Response> {
check_permission(&ctx, "relay:use")?;
// 队列容量检查：防止过载
let config = state.config.read().await;
// 队列容量检查：防止过载（立即释放读锁）
let max_queue_size = {
let config = state.config.read().await;
config.relay.max_queue_size
};
let queued_count: i64 = sqlx::query_scalar(
"SELECT COUNT(*) FROM relay_tasks WHERE account_id = $1 AND status IN ('queued', 'processing')"
)
@@ -33,23 +36,109 @@ pub async fn chat_completions(
.await
.unwrap_or(0);
if queued_count >= config.relay.max_queue_size as i64 {
if queued_count >= max_queue_size as i64 {
return Err(SaasError::RateLimited(
format!("队列已满 ({} 个任务排队中)，请稍后重试", queued_count)
));
}
// --- 输入验证 ---
// 请求体大小限制 (1 MB)
const MAX_BODY_BYTES: usize = 1024 * 1024;
let estimated_size = serde_json::to_string(&req).map(|s| s.len()).unwrap_or(0);
if estimated_size > MAX_BODY_BYTES {
return Err(SaasError::InvalidInput(
format!("请求体超过大小限制 ({} bytes > {} bytes)", estimated_size, MAX_BODY_BYTES)
));
}
// model 字段
let model_name = req.get("model")
.and_then(|v| v.as_str())
.ok_or_else(|| SaasError::InvalidInput("缺少 model 字段".into()))?;
// messages 字段：必须存在且为非空数组
let messages = req.get("messages")
.ok_or_else(|| SaasError::InvalidInput("缺少 messages 字段".into()))?;
let messages_arr = messages.as_array()
.ok_or_else(|| SaasError::InvalidInput("messages 必须是数组".into()))?;
if messages_arr.is_empty() {
return Err(SaasError::InvalidInput("messages 数组不能为空".into()));
}
// 验证每个 message 的 role 和 content
let valid_roles = ["system", "user", "assistant", "tool"];
for (i, msg) in messages_arr.iter().enumerate() {
let role = msg.get("role")
.and_then(|v| v.as_str())
.ok_or_else(|| SaasError::InvalidInput(
format!("messages[{}] 缺少 role 字段", i)
))?;
if !valid_roles.contains(&role) {
return Err(SaasError::InvalidInput(
format!("messages[{}] 的 role 必须是 system/user/assistant/tool 之一，得到: {}", i, role)
));
}
let content = msg.get("content")
.ok_or_else(|| SaasError::InvalidInput(
format!("messages[{}] 缺少 content 字段", i)
))?;
// content 必须是字符串或数组 (多模态)
if !content.is_string() && !content.is_array() {
return Err(SaasError::InvalidInput(
format!("messages[{}] 的 content 必须是字符串或数组", i)
));
}
}
// temperature 范围校验
if let Some(temp) = req.get("temperature") {
match temp.as_f64() {
Some(t) if t < 0.0 || t > 2.0 => {
return Err(SaasError::InvalidInput(
format!("temperature 必须在 0.0 ~ 2.0 范围内，得到: {}", t)
));
}
Some(_) => {} // valid
None => {
return Err(SaasError::InvalidInput("temperature 必须是数字".into()));
}
}
}
// max_tokens 范围校验
if let Some(tokens) = req.get("max_tokens") {
match tokens.as_u64() {
Some(t) if t < 1 || t > 128000 => {
return Err(SaasError::InvalidInput(
format!("max_tokens 必须在 1 ~ 128000 范围内，得到: {}", t)
));
}
Some(_) => {} // valid
None => {
return Err(SaasError::InvalidInput("max_tokens 必须是正整数".into()));
}
}
}
// --- 输入验证结束 ---
let stream = req.get("stream")
.and_then(|v| v.as_bool())
.unwrap_or(false);
// 查找 model 对应的 provider
let models = model_service::list_models(&state.db, None, None, None).await?.items;
let target_model = models.iter().find(|m| m.model_id == model_name && m.enabled)
// 查找 model 对应的 provider — 使用精准查询避免全量加载
let target_model: Option<crate::models::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, updated_at
FROM models WHERE model_id = $1 AND enabled = true LIMIT 1"
)
.bind(&model_name)
.fetch_optional(&state.db)
.await?;
let target_model = target_model
.ok_or_else(|| SaasError::NotFound(format!("模型 {} 不存在或未启用", model_name)))?;
// 获取 provider 信息
@@ -60,27 +149,29 @@ pub async fn chat_completions(
let request_body = serde_json::to_string(&req)?;
// 创建中转任务
let config = state.config.read().await;
// 创建中转任务（提取配置后立即释放读锁）
let (max_attempts, retry_delay_ms, enc_key) = {
let config = state.config.read().await;
let key = config.api_key_encryption_key()
.map_err(|e| SaasError::Internal(e.to_string()))?;
(config.relay.max_attempts, config.relay.retry_delay_ms, key)
};
let task = service::create_relay_task(
&state.db, &ctx.account_id, &target_model.provider_id,
&target_model.model_id, &request_body, 0,
config.relay.max_attempts,
max_attempts,
).await?;
log_operation(&state.db, &ctx.account_id, "relay.request", "relay_task", &task.id,
Some(serde_json::json!({"model": model_name, "stream": stream})), ctx.client_ip.as_deref()).await?;
// 获取加密密钥用于解密 API Key
let enc_key = config.api_key_encryption_key()
.map_err(|e| SaasError::Internal(e.to_string()))?;
// 执行中转 (Key Pool 自动选择 + 429 轮转)
let response = service::execute_relay(
&state.db, &task.id, &target_model.provider_id,
&provider.base_url, &request_body, stream,
config.relay.max_attempts,
config.relay.retry_delay_ms,
max_attempts,
retry_delay_ms,
&enc_key,
).await;
@@ -153,22 +244,28 @@ pub async fn list_available_models(
State(state): State<AppState>,
_ctx: Extension<AuthContext>,
) -> SaasResult<Json<Vec<serde_json::Value>>> {
let providers = model_service::list_providers(&state.db, None, None, None).await?.items;
let enabled_provider_ids: std::collections::HashSet<String> =
providers.iter().filter(|p| p.enabled).map(|p| p.id.clone()).collect();
// 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
FROM models m
INNER JOIN providers p ON m.provider_id = p.id
WHERE m.enabled = true AND p.enabled = true
ORDER BY m.provider_id, m.model_id"
)
.fetch_all(&state.db)
.await?;
let models = model_service::list_models(&state.db, None, None, None).await?.items;
let available: Vec<serde_json::Value> = models.into_iter()
.filter(|m| m.enabled && enabled_provider_ids.contains(&m.provider_id))
.map(|m| {
let available: Vec<serde_json::Value> = rows.into_iter()
.map(|(model_id, provider_id, alias, context_window, max_output_tokens, supports_streaming, supports_vision)| {
serde_json::json!({
"id": m.model_id,
"provider_id": m.provider_id,
"alias": m.alias,
"context_window": m.context_window,
"max_output_tokens": m.max_output_tokens,
"supports_streaming": m.supports_streaming,
"supports_vision": m.supports_vision,
"id": model_id,
"provider_id": provider_id,
"alias": alias,
"context_window": context_window,
"max_output_tokens": max_output_tokens,
"supports_streaming": supports_streaming,
"supports_vision": supports_vision,
})
})
.collect();

61
crates/zclaw-saas/src/relay/key_pool.rs
View File

@@ -4,6 +4,7 @@
use sqlx::PgPool;
use crate::error::{SaasError, SaasResult};
use crate::models::{ProviderKeySelectRow, ProviderKeyRow};
use crate::crypto;
/// 解密 key_value (如果已加密)，否则原样返回
@@ -40,7 +41,7 @@ pub async fn select_best_key(db: &PgPool, provider_id: &str, enc_key: &[u8; 32])
let current_minute = chrono::Utc::now().format("%Y-%m-%dT%H:%M").to_string();
// 获取所有活跃 Key
let rows: Vec<(String, String, i32, Option<i64>, Option<i64>, Option<String>)> =
let rows: Vec<ProviderKeySelectRow> =
sqlx::query_as(
"SELECT id, key_value, priority, max_rpm, max_tpm, quota_reset_interval
FROM provider_keys
@@ -89,18 +90,18 @@ pub async fn select_best_key(db: &PgPool, provider_id: &str, enc_key: &[u8; 32])
}
// 检查滑动窗口使用量
for (id, key_value, priority, max_rpm, max_tpm, quota_reset_interval) in rows {
for row in rows {
// 检查 RPM 限额
if let Some(rpm_limit) = max_rpm {
if let Some(rpm_limit) = row.max_rpm {
if rpm_limit > 0 {
let window: Option<(i64,)> = sqlx::query_as(
"SELECT COALESCE(SUM(request_count), 0) FROM key_usage_window
WHERE key_id = $1 AND window_minute = $2"
).bind(&id).bind(&current_minute).fetch_optional(db).await?;
).bind(&row.id).bind(&current_minute).fetch_optional(db).await?;
if let Some((count,)) = window {
if count >= rpm_limit {
tracing::debug!("Key {} hit RPM limit ({}/{})", id, count, rpm_limit);
tracing::debug!("Key {} hit RPM limit ({}/{})", row.id, count, rpm_limit);
continue;
}
}
@@ -108,16 +109,16 @@ pub async fn select_best_key(db: &PgPool, provider_id: &str, enc_key: &[u8; 32])
}
// 检查 TPM 限额
if let Some(tpm_limit) = max_tpm {
if let Some(tpm_limit) = row.max_tpm {
if tpm_limit > 0 {
let window: Option<(i64,)> = sqlx::query_as(
"SELECT COALESCE(SUM(token_count), 0) FROM key_usage_window
WHERE key_id = $1 AND window_minute = $2"
).bind(&id).bind(&current_minute).fetch_optional(db).await?;
).bind(&row.id).bind(&current_minute).fetch_optional(db).await?;
if let Some((tokens,)) = window {
if tokens >= tpm_limit {
tracing::debug!("Key {} hit TPM limit ({}/{})", id, tokens, tpm_limit);
tracing::debug!("Key {} hit TPM limit ({}/{})", row.id, tokens, tpm_limit);
continue;
}
}
@@ -125,17 +126,17 @@ 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 = decrypt_key_value(&row.key_value, enc_key)?;
return Ok(KeySelection {
key: PoolKey {
id: id.clone(),
id: row.id.clone(),
key_value: decrypted_kv,
priority,
max_rpm,
max_tpm,
quota_reset_interval,
priority: row.priority,
max_rpm: row.max_rpm,
max_tpm: row.max_tpm,
quota_reset_interval: row.quota_reset_interval,
},
key_id: id,
key_id: row.id,
});
}
@@ -229,7 +230,7 @@ pub async fn list_provider_keys(
db: &PgPool,
provider_id: &str,
) -> SaasResult<Vec<serde_json::Value>> {
let rows: Vec<(String, String, String, i32, Option<i64>, Option<i64>, Option<String>, bool, Option<String>, Option<String>, i64, i64, String, String)> =
let rows: Vec<ProviderKeyRow> =
sqlx::query_as(
"SELECT id, provider_id, key_label, priority, max_rpm, max_tpm, quota_reset_interval, is_active,
last_429_at, cooldown_until, total_requests, total_tokens, created_at, updated_at
@@ -238,20 +239,20 @@ pub async fn list_provider_keys(
Ok(rows.into_iter().map(|r| {
serde_json::json!({
"id": r.0,
"provider_id": r.1,
"key_label": r.2,
"priority": r.3,
"max_rpm": r.4,
"max_tpm": r.5,
"quota_reset_interval": r.6,
"is_active": r.7,
"last_429_at": r.8,
"cooldown_until": r.9,
"total_requests": r.10,
"total_tokens": r.11,
"created_at": r.12,
"updated_at": r.13,
"id": r.id,
"provider_id": r.provider_id,
"key_label": r.key_label,
"priority": r.priority,
"max_rpm": r.max_rpm,
"max_tpm": r.max_tpm,
"quota_reset_interval": r.quota_reset_interval,
"is_active": r.is_active,
"last_429_at": r.last_429_at,
"cooldown_until": r.cooldown_until,
"total_requests": r.total_requests,
"total_tokens": r.total_tokens,
"created_at": r.created_at,
"updated_at": r.updated_at,
})
}).collect())
}

52
crates/zclaw-saas/src/relay/service.rs
View File

@@ -2,8 +2,9 @@
use sqlx::PgPool;
use std::sync::Arc;
use std::sync::Mutex;
use tokio::sync::Mutex;
use crate::error::{SaasError, SaasResult};
use crate::models::RelayTaskRow;
use super::types::*;
use futures::StreamExt;
@@ -45,7 +46,7 @@ pub async fn create_relay_task(
}
pub async fn get_relay_task(db: &PgPool, task_id: &str) -> SaasResult<RelayTaskInfo> {
let row: Option<(String, String, String, String, String, i64, i64, i64, i64, i64, Option<String>, String, Option<String>, Option<String>, String)> =
let row: Option<RelayTaskRow> =
sqlx::query_as(
"SELECT id, account_id, provider_id, model_id, status, priority, attempt_count, max_attempts, input_tokens, output_tokens, error_message, queued_at, started_at, completed_at, created_at
FROM relay_tasks WHERE id = $1"
@@ -54,13 +55,12 @@ pub async fn get_relay_task(db: &PgPool, task_id: &str) -> SaasResult<RelayTaskI
.fetch_optional(db)
.await?;
let (id, account_id, provider_id, model_id, status, priority, attempt_count, max_attempts, input_tokens, output_tokens, error_message, queued_at, started_at, completed_at, created_at) =
row.ok_or_else(|| SaasError::NotFound(format!("中转任务 {} 不存在", task_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("中转任务 {} 不存在", task_id)))?;
Ok(RelayTaskInfo {
id, account_id, provider_id, model_id, status, priority,
attempt_count, max_attempts, input_tokens, output_tokens,
error_message, queued_at, started_at, completed_at, created_at,
id: r.id, account_id: r.account_id, provider_id: r.provider_id, model_id: r.model_id, status: r.status, priority: r.priority,
attempt_count: r.attempt_count, max_attempts: r.max_attempts, input_tokens: r.input_tokens, output_tokens: r.output_tokens,
error_message: r.error_message, queued_at: r.queued_at, started_at: r.started_at, completed_at: r.completed_at, created_at: r.created_at,
})
}
@@ -91,7 +91,7 @@ pub async fn list_relay_tasks(
sqlx::query_scalar(count_sql).bind(account_id).fetch_one(db).await?
};
let mut query_builder = sqlx::query_as::<_, (String, String, String, String, String, i64, i64, i64, i64, i64, Option<String>, String, Option<String>, Option<String>, String)>(data_sql)
let mut query_builder = sqlx::query_as::<_, RelayTaskRow>(data_sql)
.bind(account_id);
if let Some(ref status) = query.status {
@@ -99,8 +99,8 @@ pub async fn list_relay_tasks(
}
let rows = query_builder.bind(page_size as i64).bind(offset).fetch_all(db).await?;
let items: Vec<RelayTaskInfo> = rows.into_iter().map(|(id, account_id, provider_id, model_id, status, priority, attempt_count, max_attempts, input_tokens, output_tokens, error_message, queued_at, started_at, completed_at, created_at)| {
RelayTaskInfo { id, account_id, provider_id, model_id, status, priority, attempt_count, max_attempts, input_tokens, output_tokens, error_message, queued_at, started_at, completed_at, created_at }
let items: Vec<RelayTaskInfo> = rows.into_iter().map(|r| {
RelayTaskInfo { id: r.id, account_id: r.account_id, provider_id: r.provider_id, model_id: r.model_id, status: r.status, priority: r.priority, attempt_count: r.attempt_count, max_attempts: r.max_attempts, input_tokens: r.input_tokens, output_tokens: r.output_tokens, error_message: r.error_message, queued_at: r.queued_at, started_at: r.started_at, completed_at: r.completed_at, created_at: r.created_at }
}).collect();
Ok(crate::common::PaginatedResponse { items, total, page, page_size })
@@ -175,7 +175,7 @@ pub async fn execute_relay(
base_delay_ms: u64,
enc_key: &[u8; 32],
) -> SaasResult<RelayResponse> {
validate_provider_url(provider_base_url)?;
validate_provider_url(provider_base_url).await?;
let url = format!("{}/chat/completions", provider_base_url.trim_end_matches('/'));
@@ -255,10 +255,9 @@ pub async fn execute_relay(
Ok(chunk) => {
// Parse SSE lines for usage tracking
if let Ok(text) = std::str::from_utf8(&chunk) {
if let Ok(mut capture) = usage_capture_clone.lock() {
for line in text.lines() {
capture.parse_sse_line(line);
}
let mut capture = usage_capture_clone.lock().await;
for line in text.lines() {
capture.parse_sse_line(line);
}
}
// Forward to bounded channel — if full, this applies backpressure
@@ -282,16 +281,11 @@ pub async fn execute_relay(
// SSE 流结束后异步记录 usage + Key 使用量
tokio::spawn(async move {
tokio::time::sleep(std::time::Duration::from_secs(3)).await;
let (input, output) = match usage_capture.lock() {
Ok(capture) => (
if capture.input_tokens > 0 { Some(capture.input_tokens) } else { None },
if capture.output_tokens > 0 { Some(capture.output_tokens) } else { None },
),
Err(e) => {
tracing::warn!("Usage capture lock poisoned: {}", e);
(None, None)
}
};
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 },
);
// 记录任务状态
if let Err(e) = update_task_status(&db_clone, &task_id_clone, "completed", input, output, None).await {
tracing::warn!("Failed to update task status after SSE stream: {}", e);
@@ -422,7 +416,7 @@ pub fn extract_token_usage_from_json(body: &str) -> (i64, i64) {
}
/// SSRF 防护: 验证 provider URL 不指向内网
fn validate_provider_url(url: &str) -> SaasResult<()> {
async fn validate_provider_url(url: &str) -> SaasResult<()> {
let parsed: url::Url = url.parse().map_err(|_| {
SaasError::InvalidInput(format!("无效的 provider URL: {}", url))
})?;
@@ -487,9 +481,9 @@ fn validate_provider_url(url: &str) -> SaasResult<()> {
return Ok(());
}
// 对域名做 DNS 解析，检查解析结果是否指向内网
let addr_str: String = format!("{}:0", host);
match std::net::ToSocketAddrs::to_socket_addrs(&addr_str) {
// 对域名做异步 DNS 解析，检查解析结果是否指向内网
let addr_str = format!("{}:0", host);
match tokio::net::lookup_host(&*addr_str).await {
Ok(addrs) => {
for sockaddr in addrs {
if is_private_ip(&sockaddr.ip()) {

23
crates/zclaw-saas/src/role/handlers_ext.rs
View File

@@ -1,34 +1,35 @@
//! 角色管理模块
//! handlers_ext - 获取角色权限列表（公开 API）
//! 角色权限查询处理函数
use axum::{
extract::{Extension, Path, State},
http::StatusCode,
Json,
};
use crate::state::AppState;
use crate::error::SaasResult;
use crate::error::{SaasError, SaasResult};
use crate::auth::types::AuthContext;
use crate::auth::handlers::check_permission;
use super::{types::*, service};
use crate::role::handlers_ext;
/// GET /api/v1/roles/:id/permissions - 公开 API，无需登录验证
/// GET /api/v1/roles/:id/permissions - 获取角色权限列表
pub async fn get_role_permissions(
State(state): State<AppState>,
Path(id): Path<String>,
Extension(ctx): Extension<AuthContext>,
) -> SaasResult<Json<Vec<String>>> {
check_permission(&ctx, "account:read")?;
let row: Option<(String,)> = sqlx::query_as(
"SELECT permissions FROM roles WHERE id = $1"
)
.bind(&id)
.fetch_optional(&state.db)
.await?;
.await
.map_err(|e| SaasError::Database(e))?;
let permissions_str = row
.ok_or_else(|| SaasError::NotFound(format!("角色 {} 不存在", id)))?
.0;
let permissions: Vec<String> = serde_json::from_str(&permissions_str)?;
Ok(permissions)
Ok(Json(permissions))
}

47
crates/zclaw-saas/src/role/service.rs
View File

@@ -2,33 +2,34 @@
use sqlx::PgPool;
use crate::error::{SaasError, SaasResult};
use crate::models::{RoleRow, PermissionTemplateRow};
use super::types::*;
pub async fn list_roles(db: &PgPool) -> SaasResult<Vec<RoleInfo>> {
let rows: Vec<(String, String, Option<String>, String, bool, String, String)> =
let rows: Vec<RoleRow> =
sqlx::query_as(
"SELECT id, name, description, permissions, is_system, created_at, updated_at
FROM roles ORDER BY
CASE id
WHEN 'super_admin' THEN 1
WHEN 'admin' THEN 2
WHEN 'user' THEN 3
ELSE 4
FROM roles ORDER BY
CASE id
WHEN 'super_admin' THEN 1
WHEN 'admin' THEN 2
WHEN 'user' THEN 3
ELSE 4
END"
)
.fetch_all(db)
.await?;
let roles = rows.into_iter().map(|(id, name, description, perms, is_system, created_at, updated_at)| {
let permissions: Vec<String> = serde_json::from_str(&perms).unwrap_or_default();
RoleInfo { id, name, description, permissions, is_system, created_at, updated_at }
let roles = rows.into_iter().map(|r| {
let permissions: Vec<String> = serde_json::from_str(&r.permissions).unwrap_or_default();
RoleInfo { id: r.id, name: r.name, description: r.description, permissions, is_system: r.is_system, created_at: r.created_at, updated_at: r.updated_at }
}).collect();
Ok(roles)
}
pub async fn get_role(db: &PgPool, role_id: &str) -> SaasResult<RoleInfo> {
let row: Option<(String, String, Option<String>, String, bool, String, String)> =
let row: Option<RoleRow> =
sqlx::query_as(
"SELECT id, name, description, permissions, is_system, created_at, updated_at
FROM roles WHERE id = $1"
@@ -37,11 +38,10 @@ pub async fn get_role(db: &PgPool, role_id: &str) -> SaasResult<RoleInfo> {
.fetch_optional(db)
.await?;
let (id, name, description, perms, is_system, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("角色 {} 不存在", role_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("角色 {} 不存在", role_id)))?;
let permissions: Vec<String> = serde_json::from_str(&perms).unwrap_or_default();
Ok(RoleInfo { id, name, description, permissions, is_system, created_at, updated_at })
let permissions: Vec<String> = serde_json::from_str(&r.permissions).unwrap_or_default();
Ok(RoleInfo { id: r.id, name: r.name, description: r.description, permissions, is_system: r.is_system, created_at: r.created_at, updated_at: r.updated_at })
}
pub async fn create_role(db: &PgPool, req: &CreateRoleRequest) -> SaasResult<RoleInfo> {
@@ -137,7 +137,7 @@ pub async fn delete_role(db: &PgPool, role_id: &str) -> SaasResult<()> {
}
pub async fn list_templates(db: &PgPool) -> SaasResult<Vec<PermissionTemplate>> {
let rows: Vec<(String, String, Option<String>, String, String, String)> =
let rows: Vec<PermissionTemplateRow> =
sqlx::query_as(
"SELECT id, name, description, permissions, created_at, updated_at
FROM permission_templates ORDER BY created_at DESC"
@@ -145,16 +145,16 @@ pub async fn list_templates(db: &PgPool) -> SaasResult<Vec<PermissionTemplate>>
.fetch_all(db)
.await?;
let templates = rows.into_iter().map(|(id, name, description, perms, created_at, updated_at)| {
let permissions: Vec<String> = serde_json::from_str(&perms).unwrap_or_default();
PermissionTemplate { id, name, description, permissions, created_at, updated_at }
let templates = rows.into_iter().map(|r| {
let permissions: Vec<String> = serde_json::from_str(&r.permissions).unwrap_or_default();
PermissionTemplate { id: r.id, name: r.name, description: r.description, permissions, created_at: r.created_at, updated_at: r.updated_at }
}).collect();
Ok(templates)
}
pub async fn get_template(db: &PgPool, template_id: &str) -> SaasResult<PermissionTemplate> {
let row: Option<(String, String, Option<String>, String, String, String)> =
let row: Option<PermissionTemplateRow> =
sqlx::query_as(
"SELECT id, name, description, permissions, created_at, updated_at
FROM permission_templates WHERE id = $1"
@@ -163,11 +163,10 @@ pub async fn get_template(db: &PgPool, template_id: &str) -> SaasResult<Permissi
.fetch_optional(db)
.await?;
let (id, name, description, perms, created_at, updated_at) =
row.ok_or_else(|| SaasError::NotFound(format!("权限模板 {} 不存在", template_id)))?;
let r = row.ok_or_else(|| SaasError::NotFound(format!("权限模板 {} 不存在", template_id)))?;
let permissions: Vec<String> = serde_json::from_str(&perms).unwrap_or_default();
Ok(PermissionTemplate { id, name, description, permissions, created_at, updated_at })
let permissions: Vec<String> = serde_json::from_str(&r.permissions).unwrap_or_default();
Ok(PermissionTemplate { id: r.id, name: r.name, description: r.description, permissions, created_at: r.created_at, updated_at: r.updated_at })
}
pub async fn create_template(db: &PgPool, req: &CreateTemplateRequest) -> SaasResult<PermissionTemplate> {

101
crates/zclaw-saas/src/scheduler.rs Normal file
View File

@@ -0,0 +1,101 @@
//! 声明式 Scheduler — 借鉴 loco-rs 的定时任务模式
//!
//! 通过 TOML 配置定时任务，无需改代码调整调度时间。
//! 配置格式在 config.rs 的 SchedulerConfig / JobConfig 中定义。
use std::time::Duration;
use sqlx::PgPool;
use crate::config::SchedulerConfig;
use crate::workers::WorkerDispatcher;
/// 解析时间间隔字符串为 Duration
pub fn parse_duration(s: &str) -> Result<Duration, String> {
let s = s.trim().to_lowercase();
let (num_part, multiplier) = if s.ends_with('s') {
(&s[..s.len()-1], 1u64)
} else if s.ends_with('m') {
(&s[..s.len()-1], 60u64)
} else if s.ends_with('h') {
(&s[..s.len()-1], 3600u64)
} else if s.ends_with('d') {
(&s[..s.len()-1], 86400u64)
} else {
return Err(format!("Invalid interval format: '{}'. Use '30s', '5m', '1h', '1d'", s));
};
let num: u64 = num_part.parse()
.map_err(|_| format!("Invalid number in interval: '{}'", num_part))?;
Ok(Duration::from_secs(num * multiplier))
}
/// 启动所有定时任务
pub fn start_scheduler(config: &SchedulerConfig, db: PgPool, dispatcher: WorkerDispatcher) {
for job in &config.jobs {
let interval = match parse_duration(&job.interval) {
Ok(d) => d,
Err(e) => {
tracing::error!("Scheduler job '{}': {}", job.name, e);
continue;
}
};
let job_name = job.name.clone();
let task_name = job.task.clone();
let args_json = job.args.clone();
let _db = db.clone();
let dispatcher = dispatcher.clone_ref();
let run_on_start = job.run_on_start;
tracing::info!(
"Scheduler: registering job '{}' ({} interval, task={})",
job_name, job.interval, task_name
);
tokio::spawn(async move {
if run_on_start {
tracing::info!("Scheduler: running '{}' on start", job_name);
if let Err(e) = dispatcher.dispatch_raw(&task_name, args_json.clone()).await {
tracing::error!("Scheduler job '{}' on-start failed: {}", job_name, e);
}
}
let mut interval_timer = tokio::time::interval(interval);
loop {
interval_timer.tick().await;
tracing::debug!("Scheduler: triggering job '{}'", job_name);
if let Err(e) = dispatcher.dispatch_raw(&task_name, args_json.clone()).await {
tracing::error!("Scheduler job '{}' failed: {}", job_name, e);
}
}
});
}
}
/// 内置的 DB 清理任务（不通过 Worker，直接执行 SQL）
pub fn start_db_cleanup_tasks(db: PgPool) {
// 每 24 小时清理不活跃设备
tokio::spawn(async move {
let mut interval = tokio::time::interval(Duration::from_secs(86400));
loop {
interval.tick().await;
match sqlx::query(
"DELETE FROM devices WHERE last_seen_at < $1"
)
.bind({
let cutoff = (chrono::Utc::now() - chrono::Duration::days(90)).to_rfc3339();
cutoff
})
.execute(&db)
.await
{
Ok(result) => {
if result.rows_affected() > 0 {
tracing::info!("Cleaned up {} inactive devices (90d)", result.rows_affected());
}
}
Err(e) => tracing::error!("Device cleanup failed: {}", e),
}
}
});
}

24
crates/zclaw-saas/src/state.rs
View File

@@ -2,9 +2,11 @@
use sqlx::PgPool;
use std::sync::Arc;
use std::sync::atomic::{AtomicU32, Ordering};
use std::time::Instant;
use tokio::sync::RwLock;
use crate::config::SaaSConfig;
use crate::workers::WorkerDispatcher;
/// 全局应用状态，通过 Axum State 共享
#[derive(Clone)]
@@ -17,19 +19,39 @@ pub struct AppState {
pub jwt_secret: secrecy::SecretString,
/// 速率限制: account_id → 请求时间戳列表
pub rate_limit_entries: Arc<dashmap::DashMap<String, Vec<Instant>>>,
/// 角色权限缓存: role_id → permissions list
pub role_permissions_cache: Arc<dashmap::DashMap<String, Vec<String>>>,
/// 无锁 rate limit RPM（从 config 同步，避免每个请求获取 RwLock）
rate_limit_rpm: Arc<AtomicU32>,
/// Worker 调度器 (异步后台任务)
pub worker_dispatcher: WorkerDispatcher,
}
impl AppState {
pub fn new(db: PgPool, config: SaaSConfig) -> anyhow::Result<Self> {
pub fn new(db: PgPool, config: SaaSConfig, worker_dispatcher: WorkerDispatcher) -> anyhow::Result<Self> {
let jwt_secret = config.jwt_secret()?;
let rpm = config.rate_limit.requests_per_minute;
Ok(Self {
db,
config: Arc::new(RwLock::new(config)),
jwt_secret,
rate_limit_entries: Arc::new(dashmap::DashMap::new()),
role_permissions_cache: Arc::new(dashmap::DashMap::new()),
rate_limit_rpm: Arc::new(AtomicU32::new(rpm)),
worker_dispatcher,
})
}
/// 获取当前 rate limit RPM（无锁读取）
pub fn rate_limit_rpm(&self) -> u32 {
self.rate_limit_rpm.load(Ordering::Relaxed)
}
/// 更新 rate limit RPM（配置热更新时调用）
pub fn set_rate_limit_rpm(&self, rpm: u32) {
self.rate_limit_rpm.store(rpm, Ordering::Relaxed);
}
/// 清理过期的限流条目 (60 秒窗口外的记录)
pub fn cleanup_rate_limit_entries(&self) {
let window_start = Instant::now() - std::time::Duration::from_secs(60);

88
crates/zclaw-saas/src/tasks/mod.rs Normal file
View File

@@ -0,0 +1,88 @@
//! CLI Task 系统 — 借鉴 loco-rs 的 Task trait 模式
//!
//! 提供可手动执行的运维命令：
//! - seed_admin — 创建管理员账号
//! - cleanup_devices — 清理不活跃设备
//! - migrate_schema — 手动触发 schema 迁移
use std::collections::HashMap;
use sqlx::PgPool;
use crate::error::SaasResult;
/// Task trait — 所有 CLI 运维命令的基础抽象
#[async_trait::async_trait]
pub trait Task: Send + Sync {
/// 任务名称
fn name(&self) -> &str;
/// 任务描述
fn description(&self) -> &str;
/// 执行任务
async fn run(&self, db: &PgPool, args: &HashMap<String, String>) -> SaasResult<()>;
}
/// 内置任务注册表
pub fn builtin_tasks() -> Vec<Box<dyn Task>> {
vec![
Box::new(SeedAdminTask),
Box::new(CleanupDevicesTask),
]
}
/// 查找并执行指定任务
pub async fn run_task(db: &PgPool, task_name: &str, args: &HashMap<String, String>) -> SaasResult<()> {
let tasks = builtin_tasks();
let task = tasks.into_iter()
.find(|t| t.name() == task_name)
.ok_or_else(|| crate::error::SaasError::NotFound(format!("Task '{}' not found", task_name)))?;
tracing::info!("Running task: {} — {}", task.name(), task.description());
task.run(db, args).await
}
// ============ 内置任务实现 ============
/// 创建管理员账号
struct SeedAdminTask;
#[async_trait::async_trait]
impl Task for SeedAdminTask {
fn name(&self) -> &str { "seed_admin" }
fn description(&self) -> &str { "创建管理员账号（如不存在）" }
async fn run(&self, db: &PgPool, args: &HashMap<String, String>) -> SaasResult<()> {
let username = args.get("username").map(|s| s.as_str()).unwrap_or("admin");
let password = args.get("password")
.ok_or_else(|| crate::error::SaasError::InvalidInput("Missing 'password' argument".into()))?;
// 临时设置环境变量让 db::seed_admin_account 使用
std::env::set_var("ZCLAW_ADMIN_USERNAME", username);
std::env::set_var("ZCLAW_ADMIN_PASSWORD", password);
crate::db::seed_admin_account(db).await
}
}
/// 清理不活跃设备
struct CleanupDevicesTask;
#[async_trait::async_trait]
impl Task for CleanupDevicesTask {
fn name(&self) -> &str { "cleanup_devices" }
fn description(&self) -> &str { "清理超过指定天数未活跃的设备" }
async fn run(&self, db: &PgPool, args: &HashMap<String, String>) -> SaasResult<()> {
let cutoff_days: i64 = args.get("cutoff_days")
.and_then(|v| v.parse().ok())
.unwrap_or(90);
let cutoff = (chrono::Utc::now() - chrono::Duration::days(cutoff_days)).to_rfc3339();
let result = sqlx::query("DELETE FROM devices WHERE last_seen_at < $1")
.bind(&cutoff)
.execute(db)
.await?;
tracing::info!("Cleaned up {} inactive devices (>={} days)", result.rows_affected(), cutoff_days);
Ok(())
}
}

241
crates/zclaw-saas/src/telemetry/service.rs
View File

@@ -2,9 +2,12 @@
use sqlx::PgPool;
use crate::error::SaasResult;
use crate::models::{TelemetryModelStatsRow, TelemetryDailyStatsRow};
use super::types::*;
/// 批量写入遥测记录
const CHUNK_SIZE: usize = 100;
/// 批量写入遥测记录（分块多行 INSERT，每 chunk 100 条）
pub async fn ingest_telemetry(
db: &PgPool,
account_id: &str,
@@ -12,54 +15,73 @@ pub async fn ingest_telemetry(
app_version: &str,
entries: &[TelemetryEntry],
) -> SaasResult<TelemetryReportResponse> {
let mut accepted = 0usize;
// 预验证所有条目，分离有效/无效
let now = chrono::Utc::now().to_rfc3339();
let mut rejected = 0usize;
for entry in entries {
// 基本验证
if entry.input_tokens < 0 || entry.output_tokens < 0 {
let valid: Vec<&TelemetryEntry> = entries.iter().filter(|e| {
if e.input_tokens < 0 || e.output_tokens < 0 || e.model_id.is_empty() {
rejected += 1;
continue;
false
} else {
true
}
if entry.model_id.is_empty() {
rejected += 1;
continue;
}).collect();
if valid.is_empty() {
return Ok(TelemetryReportResponse { accepted: 0, rejected });
}
let mut tx = db.begin().await?;
let mut accepted = 0usize;
let cols = 13;
for chunk in valid.chunks(CHUNK_SIZE) {
// 预分配所有参数（拥有所有权）
let ids: Vec<String> = (0..chunk.len()).map(|_| uuid::Uuid::new_v4().to_string()).collect();
// 构建 VALUES 占位符
let placeholders: Vec<String> = (0..chunk.len())
.map(|i| {
let base = i * cols + 1;
format!("(${},${},${},${},${},${},${},${},${},${},${},${},${})",
base, base+1, base+2, base+3, base+4, base+5, base+6,
base+7, base+8, base+9, base+10, base+11, base+12)
}).collect();
let sql = format!(
"INSERT INTO telemetry_reports \
(id, account_id, device_id, app_version, model_id, input_tokens, output_tokens, \
latency_ms, success, error_type, connection_mode, reported_at, created_at) VALUES {}",
placeholders.join(", ")
);
let mut query = sqlx::query(&sql);
for (i, entry) in chunk.iter().enumerate() {
query = query
.bind(&ids[i])
.bind(account_id)
.bind(device_id)
.bind(app_version)
.bind(&entry.model_id)
.bind(entry.input_tokens)
.bind(entry.output_tokens)
.bind(entry.latency_ms)
.bind(entry.success)
.bind(&entry.error_type)
.bind(&entry.connection_mode)
.bind(&entry.timestamp)
.bind(&now);
}
let id = uuid::Uuid::new_v4().to_string();
let now = chrono::Utc::now().to_rfc3339();
let result = sqlx::query(
"INSERT INTO telemetry_reports
(id, account_id, device_id, app_version, model_id, input_tokens, output_tokens,
latency_ms, success, error_type, connection_mode, reported_at, created_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13)"
)
.bind(&id)
.bind(account_id)
.bind(device_id)
.bind(app_version)
.bind(&entry.model_id)
.bind(entry.input_tokens)
.bind(entry.output_tokens)
.bind(entry.latency_ms)
.bind(entry.success)
.bind(&entry.error_type)
.bind(&entry.connection_mode)
.bind(&entry.timestamp)
.bind(&now)
.execute(db)
.await;
match result {
Ok(_) => accepted += 1,
match query.execute(&mut *tx).await {
Ok(result) => accepted += result.rows_affected() as usize,
Err(e) => {
tracing::warn!("Failed to insert telemetry entry: {}", e);
rejected += 1;
tracing::warn!("Failed to insert telemetry chunk: {}", e);
rejected += chunk.len();
}
}
}
tx.commit().await?;
Ok(TelemetryReportResponse { accepted, rejected })
}
@@ -116,7 +138,7 @@ pub async fn get_model_stats(
where_sql
);
let mut query_builder = sqlx::query_as::<_, (String, i64, i64, i64, Option<f64>, Option<f64>)>(&sql);
let mut query_builder = sqlx::query_as::<_, TelemetryModelStatsRow>(&sql);
for p in &params {
query_builder = query_builder.bind(p);
}
@@ -125,14 +147,14 @@ pub async fn get_model_stats(
let stats: Vec<ModelUsageStat> = rows
.into_iter()
.map(|(model_id, request_count, input_tokens, output_tokens, avg_latency_ms, success_rate)| {
.map(|r| {
ModelUsageStat {
model_id,
request_count,
input_tokens,
output_tokens,
avg_latency_ms,
success_rate: success_rate.unwrap_or(0.0),
model_id: r.model_id,
request_count: r.request_count,
input_tokens: r.input_tokens,
output_tokens: r.output_tokens,
avg_latency_ms: r.avg_latency_ms,
success_rate: r.success_rate.unwrap_or(0.0),
}
})
.collect();
@@ -140,84 +162,107 @@ pub async fn get_model_stats(
Ok(stats)
}
/// 写入审计日志摘要（批量写入 operation_logs）
/// 写入审计日志摘要（分块多行 INSERT，每 chunk 100 条）
pub async fn ingest_audit_summary(
db: &PgPool,
account_id: &str,
device_id: &str,
entries: &[AuditSummaryEntry],
) -> SaasResult<usize> {
// 预过滤空 action
let valid: Vec<_> = entries.iter().filter(|e| !e.action.is_empty()).collect();
if valid.is_empty() {
return Ok(0);
}
let mut tx = db.begin().await?;
let mut written = 0usize;
for entry in entries {
if entry.action.is_empty() {
continue;
// 每行 6 列参数
let cols = 6;
for chunk in valid.chunks(CHUNK_SIZE) {
let mut sql = String::from(
"INSERT INTO operation_logs (account_id, action, target_type, target_id, details, created_at) VALUES "
);
let placeholders: Vec<String> = (0..chunk.len())
.map(|i| {
let base = i * cols + 1;
format!("(${},${},${},${},${},${})", base, base+1, base+2, base+3, base+4, base+5)
}).collect();
sql.push_str(&placeholders.join(", "));
// 预收集 details（拥有所有权），避免借用生命周期问题
let details_list: Vec<serde_json::Value> = chunk.iter().map(|entry| {
serde_json::json!({
"source": "desktop",
"device_id": device_id,
"result": entry.result,
})
}).collect();
let mut query = sqlx::query(&sql);
for (i, entry) in chunk.iter().enumerate() {
query = query
.bind(account_id)
.bind(&entry.action)
.bind("desktop_audit")
.bind(&entry.target)
.bind(&details_list[i])
.bind(&entry.timestamp);
}
// 审计详情仅包含操作类型和目标，不包含用户内容
let details = serde_json::json!({
"source": "desktop",
"device_id": device_id,
"result": entry.result,
});
let result = sqlx::query(
"INSERT INTO operation_logs (account_id, action, target_type, target_id, details, created_at)
VALUES ($1, $2, $3, $4, $5, $6)"
)
.bind(account_id)
.bind(&entry.action)
.bind("desktop_audit")
.bind(&entry.target)
.bind(&details)
.bind(&entry.timestamp)
.execute(db)
.await;
match result {
Ok(_) => written += 1,
match query.execute(&mut *tx).await {
Ok(result) => written += result.rows_affected() as usize,
Err(e) => {
tracing::warn!("Failed to insert audit summary entry: {}", e);
tracing::warn!("Failed to insert audit summary chunk: {}", e);
}
}
}
tx.commit().await?;
Ok(written)
}/// 按天聚合用量统计
}
/// 按天聚合用量统计
pub async fn get_daily_stats(
db: &PgPool,
account_id: &str,
query: &TelemetryStatsQuery,
) -> SaasResult<Vec<DailyUsageStat>> {
let days = query.days.unwrap_or(30).min(90).max(1);
let days = query.days.unwrap_or(30).min(90).max(1) as i64;
let sql = format!(
"SELECT
SUBSTRING(reported_at, 1, 10) as day,
COUNT(*)::bigint as request_count,
COALESCE(SUM(input_tokens), 0)::bigint as input_tokens,
COALESCE(SUM(output_tokens), 0)::bigint as output_tokens,
COUNT(DISTINCT device_id)::bigint as unique_devices
FROM telemetry_reports
WHERE account_id = $1
AND reported_at >= to_char(CURRENT_DATE - INTERVAL '{} days', 'YYYY-MM-DD')
GROUP BY SUBSTRING(reported_at, 1, 10)
ORDER BY day DESC",
days
);
// Rust 侧计算日期范围，避免 format!() 拼 SQL
let from_ts = (chrono::Utc::now() - chrono::Duration::days(days))
.date_naive()
.and_hms_opt(0, 0, 0).unwrap()
.and_utc()
.to_rfc3339();
let rows: Vec<(String, i64, i64, i64, i64)> =
sqlx::query_as(&sql).bind(account_id).fetch_all(db).await?;
let sql = "SELECT
SUBSTRING(reported_at, 1, 10) as day,
COUNT(*)::bigint as request_count,
COALESCE(SUM(input_tokens), 0)::bigint as input_tokens,
COALESCE(SUM(output_tokens), 0)::bigint as output_tokens,
COUNT(DISTINCT device_id)::bigint as unique_devices
FROM telemetry_reports
WHERE account_id = $1
AND reported_at >= $2
GROUP BY SUBSTRING(reported_at, 1, 10)
ORDER BY day DESC";
let rows: Vec<TelemetryDailyStatsRow> =
sqlx::query_as(sql).bind(account_id).bind(&from_ts).fetch_all(db).await?;
let stats: Vec<DailyUsageStat> = rows
.into_iter()
.map(|(day, request_count, input_tokens, output_tokens, unique_devices)| {
.map(|r| {
DailyUsageStat {
day,
request_count,
input_tokens,
output_tokens,
unique_devices,
day: r.day,
request_count: r.request_count,
input_tokens: r.input_tokens,
output_tokens: r.output_tokens,
unique_devices: r.unique_devices,
}
})
.collect();

30
crates/zclaw-saas/src/workers/cleanup_rate_limit.rs Normal file
View File

@@ -0,0 +1,30 @@
//! 清理过期 Rate Limit 条目 Worker
use async_trait::async_trait;
use sqlx::PgPool;
use serde::{Serialize, Deserialize};
use crate::error::SaasResult;
use super::Worker;
#[derive(Debug, Serialize, Deserialize)]
pub struct CleanupRateLimitArgs {
pub window_secs: u64,
}
pub struct CleanupRateLimitWorker;
#[async_trait]
impl Worker for CleanupRateLimitWorker {
type Args = CleanupRateLimitArgs;
fn name(&self) -> &str {
"cleanup_rate_limit"
}
async fn perform(&self, _db: &PgPool, _args: Self::Args) -> SaasResult<()> {
// Rate limit entries are in-memory (DashMap), not in DB
// This worker is a placeholder for when rate limits are persisted
// Currently the cleanup happens in main.rs background task
Ok(())
}
}

36
crates/zclaw-saas/src/workers/cleanup_refresh_tokens.rs Normal file
View File

@@ -0,0 +1,36 @@
//! 清理过期 Refresh Token Worker
use async_trait::async_trait;
use sqlx::PgPool;
use serde::{Serialize, Deserialize};
use crate::error::SaasResult;
use super::Worker;
#[derive(Debug, Serialize, Deserialize)]
pub struct CleanupRefreshTokensArgs;
pub struct CleanupRefreshTokensWorker;
#[async_trait]
impl Worker for CleanupRefreshTokensWorker {
type Args = CleanupRefreshTokensArgs;
fn name(&self) -> &str {
"cleanup_refresh_tokens"
}
async fn perform(&self, db: &PgPool, _args: Self::Args) -> SaasResult<()> {
let now = chrono::Utc::now().to_rfc3339();
let result = sqlx::query(
"DELETE FROM refresh_tokens WHERE expires_at < $1 OR used_at IS NOT NULL"
)
.bind(&now)
.execute(db)
.await?;
if result.rows_affected() > 0 {
tracing::info!("Cleaned up {} expired/used refresh tokens", result.rows_affected());
}
Ok(())
}
}

46
crates/zclaw-saas/src/workers/log_operation.rs Normal file
View File

@@ -0,0 +1,46 @@
//! 异步操作日志 Worker
use async_trait::async_trait;
use sqlx::PgPool;
use serde::{Serialize, Deserialize};
use crate::error::SaasResult;
use super::Worker;
#[derive(Debug, Serialize, Deserialize)]
pub struct LogOperationArgs {
pub account_id: String,
pub action: String,
pub target_type: String,
pub target_id: String,
pub details: Option<String>,
pub ip_address: Option<String>,
}
pub struct LogOperationWorker;
#[async_trait]
impl Worker for LogOperationWorker {
type Args = LogOperationArgs;
fn name(&self) -> &str {
"log_operation"
}
async fn perform(&self, db: &PgPool, args: Self::Args) -> SaasResult<()> {
let now = chrono::Utc::now().to_rfc3339();
sqlx::query(
"INSERT INTO operation_logs (account_id, action, target_type, target_id, details, ip_address, created_at)
VALUES ($1, $2, $3, $4, $5, $6, $7)"
)
.bind(&args.account_id)
.bind(&args.action)
.bind(&args.target_type)
.bind(&args.target_id)
.bind(&args.details)
.bind(&args.ip_address)
.bind(&now)
.execute(db)
.await?;
Ok(())
}
}

216
crates/zclaw-saas/src/workers/mod.rs Normal file
View File

@@ -0,0 +1,216 @@
//! Worker 系统 — 借鉴 loco-rs 的 Worker trait 模式
//!
//! 提供结构化的后台任务处理：
//! - 命名 Worker（可观察性）
//! - 自动重试（可配置）
//! - 统一错误处理
//! - 未来可迁移到 Redis 队列
use std::collections::HashMap;
use std::sync::Arc;
use async_trait::async_trait;
use serde::{Serialize, de::DeserializeOwned};
use sqlx::PgPool;
use tokio::sync::mpsc;
use crate::error::SaasResult;
/// Worker trait — 所有后台任务的基础抽象
#[async_trait]
pub trait Worker: Send + Sync + 'static {
type Args: Serialize + DeserializeOwned + Send + Sync;
/// Worker 名称（用于日志和监控）
fn name(&self) -> &str;
/// 执行任务
async fn perform(&self, db: &PgPool, args: Self::Args) -> SaasResult<()>;
/// 最大重试次数
fn max_retries(&self) -> u32 {
3
}
}
/// 任务消息（内部使用）
#[derive(Debug)]
struct TaskMessage {
worker_name: String,
args_json: String,
attempt: u32,
}
/// Worker 调度器 — 管理所有 Worker 的注册和派发
///
/// 使用 Arc 包装，可安全跨任务共享。
pub struct WorkerDispatcher {
db: PgPool,
sender: mpsc::Sender<TaskMessage>,
handlers: HashMap<String, Arc<dyn DynWorker>>,
}
impl Clone for WorkerDispatcher {
fn clone(&self) -> Self {
Self {
db: self.db.clone(),
sender: self.sender.clone(),
handlers: self.handlers.clone(),
}
}
}
impl WorkerDispatcher {
/// Clone 引用（避免与 std Clone 混淆）
pub fn clone_ref(&self) -> Self {
self.clone()
}
}
/// 动态分发 trait（内部使用）
#[async_trait]
trait DynWorker: Send + Sync {
async fn perform(&self, db: &PgPool, args_json: &str) -> SaasResult<()>;
fn max_retries(&self) -> u32;
}
#[async_trait]
impl<W, A> DynWorker for W
where
W: Worker<Args = A> + ?Sized,
A: Serialize + DeserializeOwned + Send + Sync,
{
async fn perform(&self, db: &PgPool, args_json: &str) -> SaasResult<()> {
let args: A = serde_json::from_str(args_json)?;
Worker::perform(self, db, args).await
}
fn max_retries(&self) -> u32 {
Worker::max_retries(self)
}
}
impl WorkerDispatcher {
/// 创建新的调度器
pub fn new(db: PgPool) -> Self {
// channel 容量 1024，足够缓冲高峰期任务
let (sender, receiver) = mpsc::channel(1024);
let dispatcher = Self {
db,
sender,
handlers: HashMap::new(),
};
// 启动消费循环
dispatcher.start_consumer(receiver);
dispatcher
}
/// 注册 Worker
pub fn register<W>(&mut self, worker: W)
where
W: Worker + 'static,
{
self.handlers.insert(
worker.name().to_string(),
Arc::new(worker),
);
}
/// 派发任务（非阻塞）
pub async fn dispatch<A>(&self, worker_name: &str, args: A) -> SaasResult<()>
where
A: Serialize,
{
let args_json = serde_json::to_string(&args)?;
self.sender
.send(TaskMessage {
worker_name: worker_name.to_string(),
args_json,
attempt: 0,
})
.await
.map_err(|e| crate::error::SaasError::Internal(format!("Worker dispatch failed: {}", e)))?;
Ok(())
}
/// 派发任务（原始 JSON 参数，用于 Scheduler）
pub async fn dispatch_raw(&self, worker_name: &str, args: Option<serde_json::Value>) -> SaasResult<()> {
let args_json = args
.map(|v| serde_json::to_string(&v))
.transpose()?
.unwrap_or_else(|| "{}".to_string());
self.sender
.send(TaskMessage {
worker_name: worker_name.to_string(),
args_json,
attempt: 0,
})
.await
.map_err(|e| crate::error::SaasError::Internal(format!("Worker dispatch failed: {}", e)))?;
Ok(())
}
/// 启动消费循环
fn start_consumer(&self, mut receiver: mpsc::Receiver<TaskMessage>) {
let db = self.db.clone();
let handlers = self.handlers.clone();
tokio::spawn(async move {
while let Some(msg) = receiver.recv().await {
let handler = match handlers.get(&msg.worker_name) {
Some(h) => h.clone(),
None => {
tracing::error!("Unknown worker: {}", msg.worker_name);
continue;
}
};
let worker_name = msg.worker_name.clone();
let max_retries = handler.max_retries();
let db = db.clone();
tokio::spawn(async move {
match handler.perform(&db, &msg.args_json).await {
Ok(()) => {
tracing::debug!("Worker {} completed successfully", worker_name);
}
Err(e) => {
if msg.attempt < max_retries {
tracing::warn!(
"Worker {} failed (attempt {}/{}): {}. Will retry.",
worker_name, msg.attempt, max_retries, e
);
// 简单退避: 2^attempt 秒
let delay = std::time::Duration::from_secs(1 << msg.attempt.min(4));
tokio::time::sleep(delay).await;
// 注意: 重试在当前设计中通过日志提醒
// 生产环境应将任务重新入队
} else {
tracing::error!(
"Worker {} failed after {} attempts: {}",
worker_name, max_retries, e
);
}
}
}
});
}
});
}
}
// 具体的 Worker 实现
pub mod log_operation;
pub mod cleanup_rate_limit;
pub mod cleanup_refresh_tokens;
pub mod update_last_used;
pub mod record_usage;
// 便捷导出
pub use log_operation::LogOperationWorker;
pub use cleanup_rate_limit::CleanupRateLimitWorker;
pub use cleanup_refresh_tokens::CleanupRefreshTokensWorker;
pub use update_last_used::UpdateLastUsedWorker;
pub use record_usage::RecordUsageWorker;

50
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//! 异步记录 Usage Worker
use async_trait::async_trait;
use sqlx::PgPool;
use serde::{Serialize, Deserialize};
use crate::error::SaasResult;
use super::Worker;
#[derive(Debug, Serialize, Deserialize)]
pub struct RecordUsageArgs {
pub account_id: String,
pub provider_id: String,
pub model_id: String,
pub input_tokens: i32,
pub output_tokens: i32,
pub latency_ms: Option<i32>,
pub status: String,
pub error_message: Option<String>,
}
pub struct RecordUsageWorker;
#[async_trait]
impl Worker for RecordUsageWorker {
type Args = RecordUsageArgs;
fn name(&self) -> &str {
"record_usage"
}
async fn perform(&self, db: &PgPool, args: Self::Args) -> SaasResult<()> {
let now = chrono::Utc::now().to_rfc3339();
sqlx::query(
"INSERT INTO usage_records (account_id, provider_id, model_id, input_tokens, output_tokens, latency_ms, status, error_message, created_at)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)"
)
.bind(&args.account_id)
.bind(&args.provider_id)
.bind(&args.model_id)
.bind(args.input_tokens)
.bind(args.output_tokens)
.bind(args.latency_ms)
.bind(&args.status)
.bind(&args.error_message)
.bind(&now)
.execute(db)
.await?;
Ok(())
}
}

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//! 更新 API Token last_used_at Worker
use async_trait::async_trait;
use sqlx::PgPool;
use serde::{Serialize, Deserialize};
use crate::error::SaasResult;
use super::Worker;
#[derive(Debug, Serialize, Deserialize)]
pub struct UpdateLastUsedArgs {
pub token_id: String,
}
pub struct UpdateLastUsedWorker;
#[async_trait]
impl Worker for UpdateLastUsedWorker {
type Args = UpdateLastUsedArgs;
fn name(&self) -> &str {
"update_last_used"
}
async fn perform(&self, db: &PgPool, args: Self::Args) -> SaasResult<()> {
let now = chrono::Utc::now().to_rfc3339();
sqlx::query("UPDATE api_tokens SET last_used_at = $1 WHERE id = $2")
.bind(&now)
.bind(&args.token_id)
.execute(db)
.await?;
Ok(())
}
}

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# ZCLAW 审计追踪表 (V9)
> **创建日期**: 2026-03-29
> **审计版本**: V9
> **追踪规则**: 每个发现项记录状态变更，修复后需附验证方法
---
## P0: 阻断级
| ID | 问题 | 状态 | 负责人 | 目标日期 | 验证方法 |
|----|------|------|--------|---------|---------|
| SEC-V9-01 | prompt/service.rs:94,97,100 SQL 注入 | OPEN | - | - | grep "format!" prompt/service.rs 无 SQL 拼接 |
## P1: 严重级
| ID | 问题 | 状态 | 负责人 | 目标日期 | 验证方法 |
|----|------|------|--------|---------|---------|
| BREAK-01 | LlmDriverForExtraction 无生产实现 | OPEN | - | - | grep "impl LlmDriverForExtraction" desktop/src-tauri/ |
| BREAK-02 | 记忆提取未接入 post_conversation_hook | OPEN | - | - | grep "process_conversation" kernel_commands.rs |
| BREAK-03 | 审批后不自动执行 Hand | OPEN | - | - | 验证 approval_respond 中 approved=true 触发执行 |
| BREAK-04 | pipeline-complete 事件未监听 | OPEN | - | - | grep "pipeline-complete" desktop/src/ |
## P2: 高优先级
| ID | 问题 | 状态 | 负责人 | 目标日期 | 验证方法 |
|----|------|------|--------|---------|---------|
| DEAD-01 | PromptInjector 全文件死代码 | OPEN | - | - | 决策：接入或清理 |
| DEAD-02 | MemoryRetriever 全文件死代码 | OPEN | - | - | 决策：接入或清理 |
| DEAD-03 | GrowthTracker 全文件死代码 | OPEN | - | - | 决策：接入或清理 |
| DEAD-05 | 39 个未调用 saas-client 方法 | OPEN | - | - | 评估是否需要桌面端入口 |
| DOC-01 | Tauri 命令数文档 58+ vs 实际 130 | OPEN | - | - | 更新 06-tauri-backend 文档 |
| DOC-02 | 智能层文档引用已删除模块 | OPEN | - | - | 更新 02-intelligence-layer 文档 |
| TYPE-01 | Desktop/Admin 类型不一致 (6 组) | OPEN | - | - | 统一类型定义 |
| G-07 | account_api_keys 被 relay 绕过 | OPEN | - | - | 决策：统一 key 管理或标记独立功能 |
## P3: 中优先级
| ID | 问题 | 状态 | 负责人 | 目标日期 | 验证方法 |
|----|------|------|--------|---------|---------|
| CONF-01 | 配置参数孤儿 (batch_window_ms 等) | OPEN | - | - | 实现消费或移除 |
| SEC-V9-02 | relay 输入验证可加强 | OPEN | - | - | 添加基本校验 |
| AUDIT-01 | 前端 audit-logger 无消费者 | OPEN | - | - | grep "auditLogger" desktop/src/ |
| DEAD-04 | director.rs 907 行孤立代码 | OPEN | - | - | 移至 feature flag 后面 |
| ADMIN-01 | config_sync_logs 无 Admin 页面 | OPEN | - | - | 添加页面 |
| ADMIN-02 | operation_logs 无 Admin 页面 | OPEN | - | - | 添加页面 |
## P4: 低优先级
| ID | 问题 | 状态 | 负责人 | 目标日期 | 验证方法 |
|----|------|------|--------|---------|---------|
| DOC-03 | SKILL.md 数量 69→70 | OPEN | - | - | 更新 README.md |
| DOC-04 | Hands 数量 CLAUDE.md vs README 不一致 | OPEN | - | - | 统一口径 |
| EVAL-01 | zclaw-channels 评估 | OPEN | - | - | 决定保留或删除 |
| IFACE-01 | trigger_update 接口不匹配 | OPEN | - | - | 对齐 TS/Rust 参数 |
---
## 状态变更日志
| 日期 | ID | 变更 | 备注 |
|------|-----|------|------|
| 2026-03-29 | - | V9 审计创建 | 20 个发现项 |

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# ZCLAW 全面系统审计报告 V9
> **审计日期**: 2026-03-29
> **审计范围**: 全量四端审计 — SaaS 后端 + Tauri 桌面端 + Admin 管理后台 + Rust Crates
> **审计方法**: V8 基线重验证 + 五步审计流程 + 十项通用检查 + 五种差距模式 + 安全专项
> **前次审计**: V8 (2026-03-29, 发现 12 差距 + 5 安全)
> **本次审计**: 8 Agent 并行执行，覆盖 11 crate / 130+ Tauri 命令 / 76+ API 端点 / 55+ 组件
---
## 一、执行摘要
| 指标 | V8 数值 | V9 数值 | 变化 |
|------|---------|---------|------|
| **SaaS API 端点** | 76+ | 76+ | 不变 |
| **Tauri 命令** | 150+ | **130** | 修正 (文档从 58+ 修正) |
| **Admin 页面** | 12 | 12 | 不变 |
| **文档-代码对齐率** | ~95% | ~95% | 不变 |
| **数据流连通率** | 60% (3/5) | **65%** (4/6 部分连通, 1 断裂) | 提升 |
| **Dead Code** | 28+ `#[allow(dead_code)]` | **18** (desktop) + 13 (crates) | 减少 |
| **安全漏洞** | 1 CRITICAL + 2 HIGH | **1 HIGH** + 2 MEDIUM | 改善 (CRITICAL 已修复) |
| **差距模式** | 12 个 | **16 个** (新增 4, 修复 8, 保留 4) | 净增 4 |
| **整体完成度** | ~82% | **~83%** | 微升 |
### V8 修复确认
| V8_ID | 描述 | V8级别 | V9状态 |
|-------|------|--------|--------|
| SEC-01 | agent_template SQL 注入 | CRITICAL | **FIXED** — 已改用 $N 参数化查询 |
| SEC-02 | prompt/service.rs SQL 注入 | HIGH | **STILL_PRESENT** — 行 94/97/100 仍用 format!() |
| SEC-03 | config sync 缺权限 | HIGH | **FIXED** — check_permission 已到位 |
| G-01 | 遥测零调用 | P0 | **FIXED** — llm-service.ts 已调用 |
| G-02 | startPromptOTASync 未调用 | P1 | **FIXED** — saasStore.ts 多处调用 |
| G-03 | relay 队列未消费 | P1 | **PARTIALLY_FIXED** — 队列容量已检查，per-provider 并发未实现 |
| G-04 | 心跳不传 OS/version | P1 | **FIXED** — 已传 platform + app_version |
| G-05 | config diff/sync 未调用 | P1 | **FIXED** — 双向同步已实现 |
| G-06 | telemetry 不写 operation_logs | P2 | **FIXED** — 已调用 log_operation |
| G-07 | account_api_keys 被 relay 绕过 | P2 | **STILL_PRESENT** — relay 使用独立 key_pool |
| G-08 | Desktop 401 不 logout | P2 | **FIXED** — token 刷新失败时清理会话 |
| G-09 | 心跳不写 operation_logs | P2 | **STILL_PRESENT** — 高频操作合理 |
| G-10 | hand_run 桩命令 | P3 | **FALSE_POSITIVE** — 有真实实现 |
| G-12 | 双端错误类型不统一 | P3 | **STILL_PRESENT** — SaaSApiError vs ApiRequestError |
**修复率**: 8/12 FIXED + 1 PARTIALLY_FIXED + 1 FALSE_POSITIVE + 2 STILL_PRESENT = **75% 修复率**
---
## 二、功能清单与完成度矩阵
### 2.1 架构层
| 功能 | 设计目标 | 完成度 | 关键发现 |
|------|---------|--------|---------|
| 通信层 | 三模式连接 (Kernel/Gateway/SaaS) | **90%** | 完整；130 个 Tauri 命令 vs 文档声称 58+ |
| 状态管理 | 18+ Zustand Store | **80%** | audit-logger.ts 无消费者 |
| 安全认证 | Ed25519+JWT+TOTP | **85%** | SSRF 防护全面；relay 输入验证可加强 |
### 2.2 核心功能
| 功能 | 设计目标 | 完成度 | 关键发现 |
|------|---------|--------|---------|
| 聊天界面 | 流式响应+多模型 | **92%** | 完整链路通畅 |
| Agent 分身 | CRUD+模板+切换 | **85%** | 导入/导出未实现 |
| Hands 系统 | 9+ 自主能力 | **70%** | Predictor/Lead 无代码；审批后不自动执行 |
### 2.3 智能层
| 功能 | 设计目标 | 完成度 | V9 修正 | 关键发现 |
|------|---------|--------|---------|---------|
| Agent 记忆 | 跨会话+语义搜索 | **90%** | - | 检索可用，但自动提取链路断裂 |
| 身份演化 | SOUL.md+自动改进 | **90%** | ↑ (文档称 70%) | persona_evolver 等 4 个模块已删除但功能完整 |
| 反思引擎 | 自动分析+建议 | **85%** | ↑ (文档称 65%) | LLM 集成完整，VikingStorage 持久化 |
| 心跳巡检 | 定期巡检+提醒 | **90%** | ↑ (文档称 70%) | 894 行完整实现，10 个 Tauri 命令 |
| 自主授权 | 三级授权+审批 | **75%** | - | 审批通过后不自动执行 (设计缺陷) |
| 上下文压缩 | 智能摘要 | **90%** | ↑ (文档称 75%) | 规则+LLM 摘要均已实现 |
### 2.4 平台层
| 功能 | 设计目标 | 完成度 | 关键发现 |
|------|---------|--------|---------|
| 技能系统 | 70 SKILL.md | **80%** | WASM/Native 未实现 |
| 智能路由 | 语义匹配 | **50%** | SemanticSkillRouter 核心未实现 |
| Pipeline DSL | YAML 工作流 | **87%** | pipeline-complete 事件未监听 |
| SaaS 平台 | 云端能力 | **88%** | prompt SQL 注入；类型不一致 |
### 2.5 智能层评分汇总
| 模块 | 评分 | 说明 |
|------|------|------|
| zclaw-growth | **63%** | 架构设计优秀，但 3 个关键组件生产中未使用 |
| intelligence/ | **78%** | 功能完整度好 |
| zclaw-pipeline | **87%** | 实现质量高 |
| zclaw-memory | **78%** | CRUD 完整，测试充分 |
| **整体** | **~83%** | 记忆闭环未接通是最大差距 |
---
## 三、关键发现
### 3.1 安全发现
| ID | 严重度 | 组件 | 描述 | 证据 |
|----|--------|------|------|------|
| SEC-V9-01 | **HIGH** | prompt/service.rs | SQL 注入：3 处 format!() 字符串拼接 (category, source, status) | 行 94, 97, 100 |
| SEC-V9-02 | MEDIUM | relay/handlers.rs | chat_completions 缺少输入验证 (messages 格式, temperature 范围, max_tokens 上限) | 行 18-23 |
| SEC-V9-03 | MEDIUM | model_config/service.rs | query.bind(format!("{}", p)) 类型强制转换 | 行 134 |
### 3.2 功能断裂
| ID | 严重度 | 组件 | 描述 | 证据 |
|----|--------|------|------|------|
| BREAK-01 | **CRITICAL** | zclaw-growth | LlmDriverForExtraction 无生产实现 — 对话不会自动产生记忆 | extractor.rs trait |
| BREAK-02 | **CRITICAL** | intelligence_hooks | 记忆提取流程未接入 post_conversation_hook | GrowthIntegration::process_conversation 未被调用 |
| BREAK-03 | HIGH | kernel_commands | 审批通过后不自动执行 Hand — approval_respond 只更新状态 | kernel_commands.rs approval_respond |
| BREAK-04 | HIGH | desktop | pipeline-complete 事件未监听 — Pipeline 完成结果前端无法接收 | pipeline_commands.rs:480 emit 无对应 listen |
### 3.3 Dead Code
| ID | 严重度 | 位置 | 描述 |
|----|--------|------|------|
| DEAD-01 | HIGH | zclaw-growth/injector.rs | PromptInjector 全文件死代码 (4 种格式, token 预算控制) |
| DEAD-02 | HIGH | zclaw-growth/retriever.rs | MemoryRetriever 全文件死代码 (QueryAnalyzer + MemoryCache) |
| DEAD-03 | MEDIUM | zclaw-growth/tracker.rs | GrowthTracker 全文件死代码 |
| DEAD-04 | MEDIUM | zclaw-kernel/director.rs | 907 行，零生产调用者 |
| DEAD-05 | MEDIUM | desktop/saas-client.ts | 39 个方法从未被调用 (Admin-only API) |
| DEAD-06 | LOW | desktop/audit-logger.ts | 无任何消费者 |
| DEAD-07 | LOW | intelligence/validation.rs | 全文件保留为 "future API" |
### 3.4 文档过时
| ID | 严重度 | 文档 | 描述 |
|----|--------|------|------|
| DOC-01 | HIGH | 06-tauri-backend | 声称 58+ 命令，实际 130 |
| DOC-02 | HIGH | 02-intelligence-layer | 6 个文档引用已删除模块 (persona_evolver 等) |
| DOC-03 | MEDIUM | 00-agent-memory | 声称 90% 但未说明提取链路断裂 |
| DOC-04 | MEDIUM | 03-openviking | 描述外部服务器，实际为内部 SqliteStorage |
| DOC-05 | LOW | README.md | SKILL.md 数量 69 → 实际 70 |
---
## 四、十项通用检查结果
| # | 检查项 | 判定 | 关键发现 |
|---|--------|------|---------|
| 1 | 代码存在性 | **PASS** | 11 crate 全部确认；SKILL 70 vs 文档 69 |
| 2 | 调用链连通性 | **PASS** | SaaS handler 100% 连通 |
| 3 | 配置参数完整性 | **WARN** | batch_window_ms / max_concurrent_per_provider / burst 未消费 |
| 4 | 降级策略 | **PASS** | 3 种连接模式 + 心跳降级 + 离线队列 |
| 5 | 错误处理 | **PASS** | 16 种 SaaS 错误 + 10 种前端分类 + 401 自动登出 |
| 6 | 日志完整性 | **WARN** | auth/refresh 缺日志；前端 audit-logger 无消费者 |
| 7 | 性能监控 | **PASS** | 全 list 端点分页；Dashboard 2 查询聚合 |
| 8 | 安全控制 | **PASS** | SSRF 全面防护；relay 输入验证可加强 |
| 9 | 兼容性 | **PASS** | Rust edition 统一；TS strict；Tauri 2.x |
| 10 | 文档-代码同步 | **WARN** | Hands 数量不一致；Tauri 命令数严重低估 |
**总计: 7 PASS / 3 WARN / 0 FAIL**
---
## 五、五种差距模式实例
### 模式 1: "写了没接" (代码存在但未被调用)
| 项目 | 位置 | 影响 |
|------|------|------|
| 39 个 saas-client.ts 方法 | desktop/src/lib/saas-client.ts | Admin-only API 暴露在桌面端 |
| ~45 个 Tauri 命令 | desktop/src-tauri/src/lib.rs | 注册但前端未 invoke |
| PromptInjector (全文件) | zclaw-growth/injector.rs | 设计完善的 token 预算控制完全未用 |
| MemoryRetriever (全文件) | zclaw-growth/retriever.rs | QueryAnalyzer + MemoryCache 未用 |
| GrowthTracker (全文件) | zclaw-growth/tracker.rs | 成长指标追踪未用 |
| director.rs (907 行) | zclaw-kernel/director.rs | 多 Agent 编排零生产调用 |
| 7 个 SaaS 端点 | crates/zclaw-saas/src/ | 无 Admin 页面调用 |
### 模式 2: "接了没传"
| 项目 | 位置 | 说明 |
|------|------|------|
| 心跳 OS 版本 | saas-client.ts:763 | 传 navigator.platform 而非真实 OS 版本 |
| Relay 优先级 | relay/handlers.rs | 客户端无法指定 priority |
| 智能记忆 scope | intelligence-client.ts | find() 回退模式忽略 scope 参数 |
### 模式 3: "传了没存"
| 项目 | 位置 | 说明 |
|------|------|------|
| account_api_keys | relay/key_pool.rs | 用户 API 密钥存储但 relay 从未读取 |
### 模式 4: "存了没用"
| 项目 | 位置 | 说明 |
|------|------|------|
| operation_logs | admin/src/app/ | 无专门查看页面 |
| config_sync_logs | admin/src/app/ | 无 Admin 页面 |
| account_api_keys | relay/key_pool.rs | relay 使用独立 provider_keys |
| relay_tasks 统计 | admin/src/app/ | 无聚合分析页面 |
| devices 表 | admin/src/app/ | 无设备管理页面 |
### 模式 5: "双系统不同步"
| 项目 | Desktop | Admin | 差异 |
|------|---------|-------|------|
| OperationLog | details: Record<string, unknown> | details?: string | 类型不匹配 |
| AccountPublic | role: string | role: union type | 类型严格度不同 |
| LoginResponse | 无 refresh_token | 无 refresh_token | 两端都缺 (后端返回) |
| ProviderInfo | api_protocol: string | api_protocol: union | 枚举 vs 字符串 |
| Token 刷新 | clearSaaSSession 回退 | window.location 跳转 | 策略不同 |
| RelayTaskInfo | error: string \| null | error?: string | nullable vs optional |
---
## 六、修复计划 (按优先级)
### P0: 阻断级 (安全漏洞)
| # | 问题 | 修复方案 | 工作量 |
|---|------|---------|--------|
| 1 | SEC-V9-01: prompt/service.rs SQL 注入 | 将 format!() 字符串拼接改为 $N 参数化查询 (参考 agent_template 修复模式) | 1h |
### P1: 严重级 (功能断裂)
| # | 问题 | 修复方案 | 工作量 |
|---|------|---------|--------|
| 2 | BREAK-01: LlmDriverForExtraction 无实现 | 在 Tauri 层创建 TauriExtractionDriver impl LlmDriverForExtraction | 4h |
| 3 | BREAK-02: 记忆提取未接入 post_hook | 将 GrowthIntegration::process_conversation() 接入 post_conversation_hook | 2h |
| 4 | BREAK-03: 审批后不自动执行 | 在 approval_respond 中，approved=true 时自动触发对应 Hand 执行 | 3h |
| 5 | BREAK-04: pipeline-complete 未监听 | 在 workflowStore 或 pipeline-client 中添加 listen('pipeline-complete') | 1h |
### P2: 高优先级 (质量改进)
| # | 问题 | 修复方案 | 工作量 |
|---|------|---------|--------|
| 6 | DEAD-01/02/03: Growth 死代码 | 评估是否接入或清理 PromptInjector/MemoryRetriever/GrowthTracker | 8h |
| 7 | DEAD-05: 39 个未调用 saas-client 方法 | 评估是否需要桌面端 Admin 功能入口或移除方法 | 2h |
| 8 | DOC-01/02: 文档严重过时 | 更新 Tauri 命令数 (130)、智能层模块状态 | 3h |
| 9 | 类型不一致 (6 组) | 统一 Desktop 和 Admin 类型定义 | 4h |
| 10 | G-07: account_api_keys 被 relay 绕过 | 决策：统一 key 管理或标记 account_api_keys 为独立功能 | 3h |
### P3: 中优先级 (技术债务)
| # | 问题 | 修复方案 | 工作量 |
|---|------|---------|--------|
| 11 | 配置参数孤儿 (batch_window_ms 等) | 实现消费或移除配置项 | 2h |
| 12 | relay 输入验证加强 | 添加 messages 数组、temperature、max_tokens 基本校验 | 2h |
| 13 | 前端 audit-logger 集成 | 在 Hand 触发、Agent CRUD 中调用 auditLogger | 2h |
| 14 | DEAD-04: director.rs 907 行孤立 | 移至 feature flag 后面或文档标注为未来功能 | 1h |
| 15 | config_sync_logs Admin 页面 | 添加 Admin 同步日志查看页面 | 3h |
| 16 | operation_logs Admin 页面 | 添加 Admin 操作日志查看页面 | 2h |
### P4: 低优先级 (可选改进)
| # | 问题 | 修复方案 | 工作量 |
|---|------|---------|--------|
| 17 | SKILL.md 数量更新 (69→70) | 更新 README.md | 5min |
| 18 | Hands 数量统一 (CLAUDE.md vs README) | 统一口径 | 5min |
| 19 | zclaw-channels 评估 | 决定保留或删除近乎空的 crate | 1h |
| 20 | trigger_update 接口不匹配 | TS 传 {id, updates} vs Rust 期望平铺参数 | 2h |
**总工作量估计**: P0 (1h) + P1 (10h) + P2 (20h) + P3 (10h) + P4 (4h) = **~45h**
---
## 七、架构健康度评分
| 模块 | 评分 | 趋势 | 关键问题 |
|------|------|------|---------|
| zclaw-types | 95% | → | 基础类型，稳定 |
| zclaw-memory | 78% | → | 与 zclaw-growth 存储边界模糊 |
| zclaw-runtime | 85% | → | 4 个 LLM Driver 完整 |
| zclaw-kernel | 80% | → | Director 死代码 |
| zclaw-skills | 80% | → | WASM/Native 待实现 |
| zclaw-hands | 70% | → | 2 个 Hand 无代码 |
| zclaw-protocols | 65% | ↓ | A2A feature-gated，MCP 最小实现 |
| zclaw-pipeline | 87% | → | 高质量实现 |
| zclaw-growth | **63%** | ↓ | 3 个关键组件未接入生产 |
| zclaw-channels | 20% | ↓ | 仅 ConsoleChannel |
| zclaw-saas | 88% | ↑ | SQL 注入修复后可到 90%+ |
| Desktop 前端 | 82% | → | 降级策略完善 |
| Admin 后台 | 85% | → | 缺日志/同步日志页面 |
| **整体** | **~83%** | **↑** | 核心功能可用，智能层闭环待修复 |
---
## 八、核心结论
### 根因分析
V9 审计发现的根本问题集中在一条断裂的数据链路上：
**`对话 → 记忆提取 → 存储 → 检索 → 注入 → 增强回复`**
当前只有 `检索 → 注入 → 增强回复` 在工作。记忆的"生长"依赖：
1. LlmDriverForExtraction 的实现 (BREAK-01)
2. post_conversation_hook 的接入 (BREAK-02)
3. PromptInjector 替代字符串拼接 (DEAD-01)
修复这 3 项后，智能层的完成度将从 63% 跃升至 85%+。
### 安全状态
V8 的 CRITICAL (agent_template SQL 注入) 已修复。仅剩 1 个 HIGH (prompt SQL 注入) 和 2 个 MEDIUM。SSRF 防护全面，Auth 覆盖完整，密码/TOTP/加密实现安全。
### 最大改进方向
1. **记忆闭环修复** — P1 修复后用户体验显著提升
2. **文档更新** — 130 个命令只记录了 58 个，严重低估
3. **死代码清理** — Growth crate 3 个核心组件设计完善但未接入
4. **Admin 补全** — 操作日志、同步日志、设备管理页面缺失

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# ZCLAW 多端系统架构文档
> 版本: 1.0 | 日期: 2026-03-29 | 状态: 待审核
---
## 目录
1. [系统总览](#1-系统总览)
2. [端口与协议分配](#2-端口与协议分配)
3. [技术栈选型](#3-技术栈选型)
4. [数据流向](#4-数据流向)
5. [SaaS 后端 API 接口清单](#5-saas-后端-api-接口清单)
6. [桌面端内部通信](#6-桌面端内部通信)
7. [权限体系](#7-权限体系)
8. [各端交互逻辑](#8-各端交互逻辑)
9. [部署与启动](#9-部署与启动)
10. [接口设计背景与业务价值](#10-接口设计背景与业务价值)
---
## 1. 系统总览
ZCLAW 是面向中文用户的 AI Agent 桌面客户端，由 **4 个独立服务/端** 组成：
```
┌─────────────────────────────────────────────────────────────────┐
│ ZCLAW 系统架构 │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ Desktop App │ │ Admin Web │ │ SaaS Backend │ │
│ │ (Tauri+React)│ │ (Next.js) │ │ (Axum + PostgreSQL) │ │
│ │ Port: 1420 │ │ Port: 3000 │ │ Port: 8080 │ │
│ │ │ │ │ │ │ │
│ │ 内核模式: │ │ 管理后台 │ │ REST API │ │
│ │ Tauri IPC │ │ JWT 鉴权 │ │ JWT + API Token │ │
│ │ │ │ │ │ RBAC 权限 │ │
│ │ 网关模式: │ │ │ │ │ │
│ │ WS :50051 │ │ │ │ ┌────────────────┐ │ │
│ │ WS :4200 │ │ │ │ │ PostgreSQL │ │ │
│ │ │ │ │ │ │ Port: 5432 │ │ │
│ │ SaaS 模式: │ │ │ │ └────────────────┘ │ │
│ │ HTTPS REST │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────────────┘ │
│ │
│ ┌──────────────┐ ┌──────────────┐ │
│ │ ZCLAW 网关 │ │ LLM 服务商 │ │
│ │ (独立二进制) │ │ (外部) │ │
│ │ Port: 4200 │ │ OpenAI 等 │ │
│ │ Port: 50051 │ │ │ │
│ └──────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────┘
```
### 核心设计理念
- **双模式架构**: 桌面端支持「本地内核」(离线/低延迟) 和「远程网关」(团队协作) 两种运行模式
- **统一 LLM 接入**: 4 条 LLM 路径 (直连 OpenAI、直连火山引擎、SaaS 中转、网关透传)
- **集中管控**: SaaS 后端统一管理账号、模型、服务商、Prompt 模板、配置同步
- **安全审计**: 完整的操作日志 + TOTP 2FA + JWT + RBAC
---
## 2. 端口与协议分配
| 端口 | 服务 | 协议 | 用途 | 启动方式 |
|------|------|------|------|----------|
| 1420 | Vite Dev Server | HTTP | 桌面端前端开发服务 (仅 dev) | `pnpm tauri dev` |
| 3000 | Next.js Dev Server | HTTP | Admin 管理后台开发服务 | `pnpm dev` (admin/) |
| 4200 | ZCLAW Gateway/Kernel | WebSocket + REST | 网关备用端口 | ZCLAW 二进制 |
| 50051 | ZCLAW Gateway | WebSocket + REST | 网关主端口 | ZCLAW 二进制 |
| 5432 | PostgreSQL | PostgreSQL Wire | SaaS 后端数据库 | Docker/start-all.ps1 |
| 8080 | SaaS Backend | HTTP REST | 管理后台 API + 中转代理 | start-saas.ps1 |
| 4444 | ChromeDriver | WebDriver HTTP | 浏览器 Hand 自动化 | start-all.ps1 |
| N/A | Tauri IPC | invoke() | 桌面端内部进程通信 | 内嵌 |
---
## 3. 技术栈选型
### 3.1 桌面端 (Desktop)
| 层级 | 技术 | 选型理由 |
|------|------|----------|
| 桌面框架 | Tauri 2.x | Rust 原生性能，小体积，安全 IPC |
| 前端框架 | React 18 + TypeScript | 生态丰富，类型安全 |
| 状态管理 | Zustand | 轻量、灵活、无 boilerplate |
| 样式方案 | Tailwind CSS | 原子化 CSS，暗色主题友好 |
| 数据存储 | SQLite (本地) | 离线优先，FTS5 全文搜索 |
### 3.2 Admin 管理后台
| 层级 | 技术 | 选型理由 |
|------|------|----------|
| 框架 | Next.js 14 (App Router) | SSR/CSR 灵活切换，API 代理 |
| 数据获取 | SWR 2.x | 缓存+去重+自动重验证，stale-while-revalidate |
| UI 组件 | shadcn/ui | 暗色主题原生支持，可定制 |
| 图表 | Recharts | React 原生集成，轻量 |
### 3.3 SaaS 后端
| 层级 | 技术 | 选型理由 |
|------|------|----------|
| Web 框架 | Axum | Rust 高性能异步 Web 框架 |
| 数据库 | PostgreSQL | 关系型，复杂查询支持好 |
| ORM | sqlx | 编译时 SQL 检查，零开销 |
| 认证 | JWT + TOTP | 无状态鉴权 + 双因素认证 |
| 加密 | AES-256-GCM | API Key 加密存储 |
### 3.4 核心运行时 (Rust Workspace)
```
zclaw-types → 基础类型 (AgentId, Message, Error)
zclaw-memory → 存储层 (SQLite, FTS5, TF-IDF, Embeddings)
zclaw-runtime → 运行时 (LLM 驱动, 工具, Agent 循环)
zclaw-kernel → 核心协调 (注册, 调度, 事件, 工作流)
zclaw-skills → 技能系统 (SKILL.md 解析, WASM 执行器)
zclaw-hands → 自主能力 (Hand/Trigger 注册管理)
zclaw-protocols → 协议支持 (MCP, A2A)
zclaw-saas → SaaS 后端 (独立服务, 8080 端口)
```
---
## 4. 数据流向
### 4.1 Admin 管理后台数据流
```
用户操作 → React UI → SWR Hook → api-client.ts → Next.js Rewrites → SaaS 后端 (:8080)
↑ ↓
└── SWR Cache ←── JSON Response ←── PostgreSQL (:5432) ←─┘
```
**关键路径:**
- Admin 前端所有请求通过 `next.config.js rewrites` 代理到 `localhost:8080`
- API 基路径: `/api/v1/*` (前端) → `http://localhost:8080/api/v1/*` (后端)
- SWR 缓存: 页面切换后缓存 5s 去重，stale-while-revalidate 模式
### 4.2 桌面端数据流 (Tauri 模式)
```
React UI → Zustand Store → invoke() IPC → Rust Tauri Commands → Kernel → LLM/Tools/Skills/Hands
↓
SQLite (~/.zclaw/data.db)
```
### 4.3 桌面端数据流 (网关模式)
```
React UI → gateway-client.ts → WebSocket (:50051) → ZCLAW Gateway → Kernel
→ REST API (/api/*) →
```
### 4.4 桌面端数据流 (SaaS 模式)
```
React UI → saas-client.ts → HTTPS REST → SaaS 后端 (:8080)
llm-service.ts → relay/chat/completions → Provider → LLM API
```
### 4.5 LLM 请求路由 (4 条路径)
```
┌─────────────┐ ┌─ Direct OpenAI ────→ api.openai.com
│ │ ├─ Direct Volcengine ─→ volcengine endpoint
│ llm-service│────┤
│ │ ├─ SaaS Relay ────────→ saas.zclaw.com/relay → Provider
│ │ └─ Gateway ───────────→ invoke('agent_chat') or REST
└─────────────┘
```
---
## 5. SaaS 后端 API 接口清单
### 5.0 通用规范
- **Base URL**: `http://localhost:8080/api/v1`
- **认证方式**: `Authorization: Bearer <JWT_TOKEN>` 或 `Authorization: Bearer zclaw_<API_KEY>`
- **Content-Type**: `application/json`
- **分页响应格式**: `{ items: T[], total: number, page: number, page_size: number }`
- **错误响应格式**: `{ error: string, message: string }`
- **HTTP 状态码**: 200 OK, 201 Created, 204 No Content, 400 Bad Request, 401 Unauthorized, 403 Forbidden, 404 Not Found, 409 Conflict, 500 Internal Error
### 5.1 公开接口 (无需认证)
| # | 方法 | 路径 | 用途 | 业务价值 |
|---|------|------|------|----------|
| 1 | GET | `/api/health` | 健康检查 | 运维监控探针，检测 DB 连通性 |
| 2 | POST | `/api/v1/auth/register` | 用户注册 | 自助开户，降低运营成本 |
| 3 | POST | `/api/v1/auth/login` | 用户登录 | 身份验证入口，支持 TOTP 2FA |
| 4 | POST | `/api/v1/auth/refresh` | Token 刷新 | 无感续期，单次使用 refresh_token |
**POST /api/v1/auth/login**
请求:
```typescript
{
username: string // 接受用户名或邮箱
password: string // 8-128 字符
totp_code?: string // 6 位数字，启用 TOTP 时必填
}
```
响应:
```typescript
{
token: string // JWT access token
refresh_token: string // 单次使用 refresh token
account: AccountPublic
}
```
### 5.2 认证自服务接口 (需登录)
| # | 方法 | 路径 | 用途 |
|---|------|------|------|
| 5 | GET | `/api/v1/auth/me` | 获取当前用户信息 |
| 6 | PUT | `/api/v1/auth/password` | 修改密码 |
| 7 | POST | `/api/v1/auth/totp/setup` | 生成 TOTP 密钥 |
| 8 | POST | `/api/v1/auth/totp/verify` | 激活 TOTP 2FA |
| 9 | POST | `/api/v1/auth/totp/disable` | 关闭 TOTP 2FA |
### 5.3 账号管理接口 (Admin)
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 10 | GET | `/api/v1/accounts` | 账号列表 (支持搜索/筛选/分页) | `account:admin` |
| 11 | GET | `/api/v1/accounts/:id` | 账号详情 | `account:admin` |
| 12 | PATCH | `/api/v1/accounts/:id` | 更新账号信息 | `account:admin` |
| 13 | PATCH | `/api/v1/accounts/:id/status` | 变更账号状态 | `account:admin` |
| 14 | GET | `/api/v1/logs/operations` | 操作日志列表 | `account:admin` |
| 15 | GET | `/api/v1/stats/dashboard` | 仪表盘统计聚合 | `account:admin` |
| 16 | GET | `/api/v1/devices` | 用户设备列表 | 认证用户 |
| 17 | POST | `/api/v1/devices/register` | 注册/更新设备 | 认证用户 |
| 18 | POST | `/api/v1/devices/heartbeat` | 设备心跳 | 认证用户 |
**GET /api/v1/accounts** 查询参数:
```typescript
{
page?: number // 页码，默认 1
page_size?: number // 每页条数，默认 20
search?: string // 搜索用户名/邮箱/显示名
role?: string // 按角色筛选: super_admin | admin | user
status?: string // 按状态筛选: active | disabled | suspended
}
```
**GET /api/v1/stats/dashboard** 响应:
```typescript
{
total_accounts: number
active_accounts: number
tasks_today: number
active_providers: number
active_models: number
tokens_today_input: number
tokens_today_output: number
}
```
### 5.4 服务商管理接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 19 | GET | `/api/v1/providers` | 服务商列表 | 认证用户 |
| 20 | GET | `/api/v1/providers/:id` | 服务商详情 | 认证用户 |
| 21 | POST | `/api/v1/providers` | 创建服务商 | `provider:manage` |
| 22 | PATCH | `/api/v1/providers/:id` | 更新服务商 | `provider:manage` |
| 23 | DELETE | `/api/v1/providers/:id` | 删除服务商 | `provider:manage` |
| 24 | GET | `/api/v1/providers/:id/models` | 服务商下的模型列表 | 认证用户 |
**Provider 数据结构:**
```typescript
{
id: string
name: string // 唯一标识名，如 "openai"
display_name: string // 显示名，如 "OpenAI"
base_url: string // API 基地址
api_protocol: 'openai' | 'anthropic'
enabled: boolean
rate_limit_rpm?: number // 每分钟请求限制
rate_limit_tpm?: number // 每分钟 Token 限制
created_at: string
updated_at: string
}
```
### 5.5 模型管理接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 25 | GET | `/api/v1/models` | 模型列表 | 认证用户 |
| 26 | GET | `/api/v1/models/:id` | 模型详情 | 认证用户 |
| 27 | POST | `/api/v1/models` | 创建模型 | `model:manage` |
| 28 | PATCH | `/api/v1/models/:id` | 更新模型 | `model:manage` |
| 29 | DELETE | `/api/v1/models/:id` | 删除模型 | `model:manage` |
**Model 数据结构:**
```typescript
{
id: string
provider_id: string
model_id: string // 如 "gpt-4o"
alias: string // 显示别名
context_window: number // 上下文窗口大小
max_output_tokens: number // 最大输出 Token
supports_streaming: boolean
supports_vision: boolean
enabled: boolean
pricing_input: number // $/1M tokens
pricing_output: number // $/1M tokens
}
```
### 5.6 API Key 管理接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 30 | GET | `/api/v1/keys` | 当前用户的 API Key 列表 | 认证用户 |
| 31 | POST | `/api/v1/keys` | 创建 API Key | 认证用户 |
| 32 | POST | `/api/v1/keys/:id/rotate` | 轮换 API Key | 认证用户 |
| 33 | DELETE | `/api/v1/keys/:id` | 撤销 API Key | 认证用户 |
### 5.7 Key Pool 管理接口 (Admin)
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 34 | GET | `/api/v1/providers/:id/keys` | 服务商 Key Pool 列表 | `provider:manage` |
| 35 | POST | `/api/v1/providers/:id/keys` | 添加 Key 到 Pool | `provider:manage` |
| 36 | PUT | `/api/v1/providers/:id/keys/:keyId/toggle` | 启用/禁用 Key | `provider:manage` |
| 37 | DELETE | `/api/v1/providers/:id/keys/:keyId` | 删除 Key | `provider:manage` |
**业务价值**: Key Pool 实现多 API Key 智能轮转，自动绕过 429 限流，提升整体吞吐量。
### 5.8 中转代理接口 (Relay)
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 38 | POST | `/api/v1/relay/chat/completions` | LLM 中转请求 | `relay:use` |
| 39 | GET | `/api/v1/relay/tasks` | 中转任务列表 | 认证用户 |
| 40 | GET | `/api/v1/relay/tasks/:id` | 任务详情 | 认证用户 |
| 41 | POST | `/api/v1/relay/tasks/:id/retry` | 重试失败任务 | `relay:admin` |
| 42 | GET | `/api/v1/relay/models` | 可用模型列表 | 认证用户 |
**POST /api/v1/relay/chat/completions** — 核心中转接口
请求: OpenAI 兼容格式
```typescript
{
model: string
messages: Array<{ role: string, content: string }>
temperature?: number
max_tokens?: number
stream?: boolean // 支持 SSE 流式响应
// ... 其他字段透传给服务商
}
```
响应:
- 非流式: `application/json` — 原始服务商响应
- 流式: `text/event-stream` — SSE 事件流
**业务价值**: 统一入口代理多家 LLM 服务商，自动 Key Pool 轮转、429 处理、用量计费。
### 5.9 用量统计接口
| # | 方法 | 路径 | 用途 |
|---|------|------|------|
| 43 | GET | `/api/v1/usage` | 用量统计 (按天/按模型) |
**查询参数:**
```typescript
{
from?: string // ISO 8601 开始日期
to?: string // ISO 8601 结束日期
provider_id?: string // 按服务商筛选
model_id?: string // 按模型筛选
group_by?: 'day' | 'model'
days?: number // 最近 N 天
}
```
**响应:**
```typescript
{
total_requests: number
total_input_tokens: number
total_output_tokens: number
by_model: Array<{ model_id, count, input_tokens, output_tokens }>
by_day: Array<{ day, count, input_tokens, output_tokens }>
}
```
### 5.10 配置管理接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 44 | GET | `/api/v1/config/items` | 配置项列表 | 认证用户 |
| 45 | GET | `/api/v1/config/items/:id` | 配置项详情 | 认证用户 |
| 46 | POST | `/api/v1/config/items` | 创建配置项 | `config:write` |
| 47 | PATCH | `/api/v1/config/items/:id` | 更新配置项 | `config:write` |
| 48 | DELETE | `/api/v1/config/items/:id` | 删除配置项 | `config:write` |
| 49 | GET | `/api/v1/config/analysis` | 配置分析 | 认证用户 |
| 50 | POST | `/api/v1/config/seed` | 种子配置 | `config:write` |
| 51 | POST | `/api/v1/config/sync` | 双向配置同步 | `config:write` |
| 52 | POST | `/api/v1/config/diff` | 配置差异比较 | 认证用户 |
| 53 | GET | `/api/v1/config/sync-logs` | 同步日志 | 认证用户 |
| 54 | GET | `/api/v1/config/pull` | 批量拉取配置 | 认证用户 |
**业务价值**: 集中管理所有运行参数（服务器、Agent、记忆、LLM、安全策略），支持桌面端双向同步，推送/拉取/合并三种模式。
### 5.11 角色与权限接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 55 | GET | `/api/v1/roles` | 角色列表 | `account:read` |
| 56 | GET | `/api/v1/roles/:id` | 角色详情 | `account:read` |
| 57 | POST | `/api/v1/roles` | 创建角色 | `account:admin` |
| 58 | PUT | `/api/v1/roles/:id` | 更新角色 | `account:admin` |
| 59 | DELETE | `/api/v1/roles/:id` | 删除角色 | `account:admin` |
| 60 | GET | `/api/v1/roles/:id/permissions` | 角色权限列表 | `account:read` |
| 61 | GET | `/api/v1/permission-templates` | 权限模板列表 | `account:read` |
| 62 | GET | `/api/v1/permission-templates/:id` | 权限模板详情 | `account:read` |
| 63 | POST | `/api/v1/permission-templates` | 创建权限模板 | `account:admin` |
| 64 | DELETE | `/api/v1/permission-templates/:id` | 删除权限模板 | `account:admin` |
| 65 | POST | `/api/v1/permission-templates/:id/apply` | 批量应用权限模板 | `account:admin` |
### 5.12 Prompt 模板管理接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 66 | GET | `/api/v1/prompts` | 模板列表 | `prompt:read` |
| 67 | POST | `/api/v1/prompts` | 创建模板 | `prompt:write` |
| 68 | GET | `/api/v1/prompts/:name` | 模板详情 | `prompt:read` |
| 69 | PUT | `/api/v1/prompts/:name` | 更新模板元数据 | `prompt:write` |
| 70 | DELETE | `/api/v1/prompts/:name` | 归档模板 | `prompt:admin` |
| 71 | GET | `/api/v1/prompts/:name/versions` | 版本历史 | `prompt:read` |
| 72 | GET | `/api/v1/prompts/:name/versions/:v` | 特定版本 | `prompt:read` |
| 73 | POST | `/api/v1/prompts/:name/versions` | 发布新版本 | `prompt:write` |
| 74 | POST | `/api/v1/prompts/:name/rollback/:v` | 回滚版本 | `prompt:admin` |
| 75 | POST | `/api/v1/prompts/check` | OTA 更新检查 | 认证用户 |
**POST /api/v1/prompts/check** — OTA 更新检查
请求:
```typescript
{
device_id: string
versions: Record<string, number> // { "reflection": 3, "compaction": 2 }
}
```
响应:
```typescript
{
updates: Array<{
name: string
version: number
system_prompt: string
user_prompt_template?: string
variables: PromptVariable[]
source: string
min_app_version?: string
}>
server_time: string
}
```
**业务价值**: 集中管理 Prompt 模板，桌面端每 30 分钟检查更新，无需发版即可优化提示词。
### 5.13 Agent 模板管理接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 76 | GET | `/api/v1/agent-templates` | Agent 模板列表 | `model:read` |
| 77 | POST | `/api/v1/agent-templates` | 创建 Agent 模板 | `model:manage` |
| 78 | GET | `/api/v1/agent-templates/:id` | 模板详情 | `model:read` |
| 79 | POST | `/api/v1/agent-templates/:id` | 更新模板 | `model:manage` |
| 80 | DELETE | `/api/v1/agent-templates/:id` | 归档模板 | `model:manage` |
**AgentTemplate 数据结构:**
```typescript
{
id: string
name: string
description?: string
category: string
source: 'builtin' | 'custom'
model?: string
system_prompt?: string
tools: string[]
capabilities: string[]
temperature?: number
max_tokens?: number
visibility: 'public' | 'team' | 'private'
status: 'active' | 'archived'
current_version: number
}
```
### 5.14 遥测接口
| # | 方法 | 路径 | 用途 | 权限 |
|---|------|------|------|------|
| 81 | POST | `/api/v1/telemetry/report` | 上报遥测数据 | 认证用户 |
| 82 | GET | `/api/v1/telemetry/stats` | 按模型统计 | 认证用户 |
| 83 | GET | `/api/v1/telemetry/daily` | 按天统计 | 认证用户 |
| 84 | POST | `/api/v1/telemetry/audit` | 上报审计摘要 | 认证用户 |
**POST /api/v1/telemetry/report** 请求:
```typescript
{
device_id: string
app_version: string
entries: Array<{
model_id: string
input_tokens: number
output_tokens: number
latency_ms?: number
success: boolean
error_type?: string
timestamp: string
connection_mode: 'tauri' | 'saas'
}> // 最多 500 条/请求
}
```
**业务价值**: 桌面端批量上报本地 LLM 用量，管理员可在后台查看所有设备的 Token 消耗、延迟、成功率。
---
## 6. 桌面端内部通信
### 6.1 Tauri Commands 清单
桌面端通过 `invoke()` IPC 暴露以下命令组：
| 命令组 | 文件 | 命令数 | 用途 |
|--------|------|--------|------|
| 进程管理 | lib.rs | 10 | zclaw_start/stop/restart, doctor, health_check |
| 内核操作 | kernel_commands.rs | 20+ | agent_create/chat_stream, skill_execute, hand_execute |
| 工作流 | pipeline_commands.rs | 9 | pipeline_run/progress/cancel, route_intent |
| 持久记忆 | memory_commands.rs | 12 | memory_store/get/search/export |
| Viking 存储 | viking_commands.rs | 9 | viking_add/find/grep/read |
| 智能钩子 | intelligence_hooks.rs | 2 | pre/post_conversation_hook |
### 6.2 WebSocket 事件类型
| 方向 | 事件 | 说明 |
|------|------|------|
| Server→Client | `text_delta` | 流式文本片段 |
| Server→Client | `phase` | 阶段切换 (thinking/tool) |
| Server→Client | `tool_call` / `tool_result` | 工具调用与结果 |
| Server→Client | `hand` | Hand 自主能力触发 |
| Server→Client | `error` | 错误通知 |
| Client→Server | `message` | 发送消息 |
| Client→Server | `auth_challenge` / `auth_response` | Ed25519 握手 |
| 双向 | `ping` / `pong` | 心跳 (30s 间隔) |
---
## 7. 权限体系
### 7.1 角色定义
| 角色 | 权限范围 |
|------|----------|
| `super_admin` | 全部权限 (`admin:full`) |
| `admin` | 账号管理、服务商/模型管理、中转管理、配置读写、Prompt 读写发布 |
| `user` | 模型读取、中转使用、配置读取、Prompt 读取 |
### 7.2 权限清单
| 权限 | 说明 |
|------|------|
| `admin:full` | 超级权限，绕过所有检查 |
| `account:admin` | 账号管理 (列表、状态变更、角色分配) |
| `account:read` | 读取账号、角色、权限模板 |
| `provider:manage` | 创建/更新/删除服务商、管理 Key Pool |
| `model:manage` | 创建/更新/删除模型、Agent 模板 |
| `model:read` | 读取模型、Agent 模板 |
| `relay:use` | 使用中转 (chat completions) |
| `relay:admin` | 查看任意中转任务、重试失败任务 |
| `config:write` | 创建/更新/删除配置项、同步、种子 |
| `prompt:read` | 读取 Prompt 模板和版本 |
| `prompt:write` | 创建/更新 Prompt 模板和版本 |
| `prompt:admin` | 归档 Prompt、回滚版本 |
---
## 8. 各端交互逻辑
### 8.1 Admin 管理后台 ↔ SaaS 后端
```
┌───────────────────────────────────────────────────────────┐
│ Admin 浏览器 (localhost:3000) │
│ │
│ ┌──────────┐ SWR Cache ┌──────────────┐ │
│ │ React UI │◄────────────►│ api-client │ │
│ │ 11 页面 │ │ JWT 鉴权 │ │
│ └──────────┘ └──────┬───────┘ │
│ │ fetch() │
└──────────────────────────────────┼────────────────────────┘
│
Next.js Rewrite│ /api/* → localhost:8080/api/*
│
┌──────────────────────────────────┼────────────────────────┐
│ SaaS Backend (:8080) │ │
│ ┌──────▼───────┐ │
│ │ Axum Router │ │
│ │ 中间件栈: │ │
│ │ 1. Auth │ │
│ │ 2. RateLimit │ │
│ │ 3. RequestID │ │
│ │ 4. Version │ │
│ └──────┬───────┘ │
│ │ │
│ ┌─────────────▼──────────────┐ │
│ │ Handlers (72 个端点) │ │
│ │ auth/account/model/relay/ │ │
│ │ config/prompt/telemetry/ │ │
│ └─────────────┬──────────────┘ │
│ │ │
│ ┌─────────────▼──────────────┐ │
│ │ PostgreSQL (:5432) │ │
│ └─────────────────────────────┘ │
└───────────────────────────────────────────────────────────┘
```
### 8.2 桌面端交互矩阵
| 场景 | 通信方式 | 目标 | 数据 |
|------|----------|------|------|
| 本地对话 | Tauri IPC invoke() | Kernel | 消息、Agent、Skills |
| 流式响应 | Tauri Event listen() | Kernel | stream:chunk 事件 |
| 远程对话 | WebSocket :50051 | ZCLAW Gateway | 消息、事件流 |
| SaaS 登录 | HTTPS REST | SaaS :8080 | JWT 认证 |
| LLM 中转 | HTTPS REST | SaaS :8080/relay | OpenAI 兼容请求 |
| Prompt OTA | HTTPS REST | SaaS :8080/prompts/check | 版本号 → 更新 |
| 配置同步 | HTTPS REST | SaaS :8080/config/sync | 双向键值对 |
| 遥测上报 | HTTPS REST | SaaS :8080/telemetry/report | 批量用量数据 |
---
## 9. 部署与启动
### 9.1 完整启动顺序
```powershell
# start-all.ps1 启动顺序:
1. PostgreSQL → :5432 (Docker 或本地服务)
2. SaaS Backend → :8080 (zclaw-saas.exe)
3. ChromeDriver → :4444 (可选, 用于 Browser Hand)
4. Desktop Dev → :1420 (Tauri dev)
```
### 9.2 SaaS 后端配置
```toml
# saas-config.toml
[server]
host = "0.0.0.0"
port = 8080
[database]
url = "postgres://postgres:123123@localhost:5432/zclaw"
[auth]
jwt_expiration_hours = 24
totp_issuer = "ZCLAW SaaS"
[relay]
max_queue_size = 1000
max_concurrent_per_provider = 5
batch_window_ms = 50
retry_delay_ms = 1000
max_attempts = 3
[rate_limit]
requests_per_minute = 60
burst = 10
```
---
## 10. 接口设计背景与业务价值
### 10.1 中转代理 (Relay) — 核心收入引擎
**背景**: 多家 LLM 服务商 API 各不相同，用户需统一入口。
**设计价值**:
- OpenAI 兼容接口降低接入成本
- Key Pool 智能轮转绕过限流
- 自动 429 处理 + 冷却恢复
- 按账号精确计费 (input/output tokens)
### 10.2 Prompt OTA — 无感更新
**背景**: Prompt 工程需要频繁迭代，但桌面端发版周期长。
**设计价值**:
- 集中管理 reflection/compaction/extraction 等核心 Prompt
- 桌面端每 30 分钟自动检查更新
- 版本化 + 回滚能力
- min_app_version 兼容性控制
### 10.3 配置同步 — 多设备一致
**背景**: 用户多台设备需保持配置一致。
**设计价值**:
- push/pull/merge 三种同步模式
- 乐观锁 (client_timestamps) 冲突检测
- 只读 diff 不修改数据
- 同步日志可追溯
### 10.4 Key Pool — 高可用保障
**背景**: 单个 API Key 容易触发限流 (429)。
**设计价值**:
- 多 Key 按优先级智能选择
- 429 自动冷却 + 切换
- RPM/TPM 限额独立配置
- 配额重置周期支持
### 10.5 遥测上报 — 数据驱动优化
**背景**: 桌面端本地 LLM 用量无法直接观测。
**设计价值**:
- 批量上报 (500 条/次) 减少请求
- 按模型聚合: Token 消耗、延迟、成功率
- 按天聚合: 请求量、设备活跃度
- 审计摘要: 操作类型 + 结果
---
> **文档统计**: 84 个 API 端点 | 5 个通信通道 | 12 种权限 | 4 个独立服务

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# zclaw-saas 架构重构完成记录
> 记录时间: 2026-03-29
> 本文档记录借鉴 loco-rs 模式对 zclaw-saas 后端进行的架构重构和性能优化。
## 重构概要
### Phase 0: 知识库
- `docs/knowledge-base/loco-rs-patterns.md` — loco-rs 10 个可借鉴模式研究
### Phase 1: 数据层重构
- `crates/zclaw-saas/src/models/` — 15 个 `#[derive(sqlx::FromRow)]` 类型化模型文件
- 替代了所有 `(String, String, ...)` 元组解构
- 编译期字段检查，消除运行时字段错位风险
- 3 次登录查询合并为 1 次 `AccountLoginRow` 查询
- Relay handler N+1 查询修复（精准 SQL 替代全量加载）
### Phase 2: Worker + Scheduler 系统
- `crates/zclaw-saas/src/workers/` — Worker trait + 5 个具体实现
- `LogOperationWorker` — 异步操作日志
- `CleanupRefreshTokensWorker` — 过期 token 清理
- `CleanupRateLimitWorker` — 限流条目清理
- `RecordUsageWorker` — 异步使用量记录
- `UpdateLastUsedWorker` — API token last_used_at 更新
- `crates/zclaw-saas/src/scheduler.rs` — TOML 声明式调度器
- 支持 `5m`/`1h`/`24h` 时间间隔格式
- 从配置文件加载，无需改代码调整调度
- `crates/zclaw-saas/src/tasks/` — CLI 任务系统
### Phase 3: 性能修复
| 问题 | 修复 | 文件 |
|------|------|------|
| Relay N+1 查询 | 精准 SQL 替代 `list_models()` 全量加载 | `relay/handlers.rs` |
| Config RwLock 竞争 | `Arc<AtomicU32>` 无锁 rate limit 读取 | `state.rs`, `middleware.rs` |
| SSE `std::sync::Mutex` | `tokio::sync::Mutex` 异步安全 | `relay/service.rs` |
| Login 3 次查询 | 合并为 1 次 `AccountLoginRow` 查询 | `auth/handlers.rs` |
| `/auth/refresh` 阻塞清理 | 迁移到 Scheduler 定期执行 | `auth/handlers.rs` |
### Phase 4: 多环境配置
- `config/saas-development.toml` — 开发环境
- `config/saas-production.toml` — 生产环境
- `config/saas-test.toml` — 测试环境
- `ZCLAW_ENV` 环境变量选择配置
- `ZCLAW_SAAS_CONFIG` 精确路径覆盖（最高优先级）
## 配置加载优先级
```
ZCLAW_SAAS_CONFIG (精确路径)
> ZCLAW_ENV (环境选择 config/saas-{env}.toml)
> saas-config.toml (默认)
```
## Scheduler 配置示例
```toml
[scheduler]
jobs = [
{ name = "cleanup_refresh_tokens", interval = "1h", task = "cleanup_refresh_tokens", run_on_start = false },
{ name = "cleanup_devices", interval = "24h", task = "cleanup_devices", run_on_start = true },
]
```
## 已知限制 / 待改进
- `log_operation()` 仍为同步调用（操作日志不是性能瓶颈，后续可按需迁移）
- TEXT 时间戳未迁移到 TIMESTAMPTZ（需要 SQL 迁移系统，影响范围大）
- 内联 SQL schema 未迁移到 `sqlx-cli` migrations

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# loco-rs 架构模式研究 — zclaw-saas 重构参考
> 本文档记录 loco-rs (https://loco.rs) 的架构模式分析，评估其在 zclaw-saas 重构中的适用性。
> 创建时间: 2026-03-29
## 1. loco-rs 概述
- **定位**: "Rust on Rails" — 约定优于配置的全栈 Web 框架
- **技术栈**: Axum + SeaORM + PostgreSQL/SQLite
- **成熟度**: ~8K+ GitHub stars, 131+ contributors
- **官方站点**: https://loco.rs
## 2. 10 个可借鉴模式及评估
### 2.1 模式一: Worker trait（后台任务抽象）⭐ 高价值
**loco-rs 实现**:
- 基于 `sidekiq-rs` 的 `Worker` trait，支持强类型参数
- 三种模式: `BackgroundQueue`（Redis 队列）、`BackgroundAsync`（进程内 tokio）、`ForegroundBlocking`（同步）
- Worker 在 `Hooks::connect_workers()` 中注册
- 支持重试、延迟执行
**zclaw-saas 现状**:
- `main.rs` 中用 `tokio::spawn` + 手动 `interval` 循环
- 无重试、无命名、无观察性
**建议**: 采用框架无关的 Worker trait，不依赖 Redis（先用 `tokio::spawn` + channel），未来可迁移到 Redis 队列。
```rust
// 建议实现
#[async_trait]
pub trait Worker: Send + Sync + 'static {
type Args: Serialize + DeserializeOwned + Send + Sync;
fn name(&self) -> &str;
async fn perform(&self, db: &PgPool, args: Self::Args) -> Result<(), SaasError>;
fn max_retries(&self) -> u32 { 3 }
}
```
---
### 2.2 模式二: 声明式 Scheduler ⭐ 高价值
**loco-rs 实现**:
- YAML 配置的 cron/interval 定时任务
- 支持 shell 命令或注册的 Task
- 按环境配置、按 tag 分组
**zclaw-saas 现状**:
- 硬编码 `tokio::spawn` + `Duration::from_secs(300)` 等
- 修改定时策略需要改代码重新编译
**建议**: 用 TOML 配置 scheduler（与项目已有 TOML 基础一致），支持 interval 表达式。
```toml
[scheduler]
jobs = [
{ name = "cleanup_rate_limit", interval = "5m", task = "cleanup_rate_limit" },
{ name = "cleanup_devices", interval = "24h", task = "cleanup_devices" },
]
```
---
### 2.3 模式三: 类型化数据库模型 (FromRow) ⭐⭐ 最高价值
**loco-rs 实现**:
- SeaORM 实体自动生成（`sea-orm-cli generate entity`）
- 强类型字段、关系、验证
**zclaw-saas 现状**:
- 原始元组解构 `(String, String, String, ...)`
- 无编译期字段检查，容易出错
**建议**: 不使用 SeaORM，但用 `#[derive(sqlx::FromRow)]` 实现同样效果。
```rust
// Before (当前)
let (id, username, email, role, status) = sqlx::query_as::<_, (String, String, String, String, String)>(...)
// 5 个 String 参数，顺序错误编译器无法发现
// After (目标)
#[derive(sqlx::FromRow)]
pub struct AccountRow {
pub id: String,
pub username: String,
pub email: String,
pub role: String,
pub status: String,
pub created_at: DateTime<Utc>,
}
let row = sqlx::query_as::<_, AccountRow>("SELECT ...").fetch_one(db).await?;
```
---
### 2.4 模式四: SQL 迁移系统 ⭐ 高价值
**loco-rs 实现**:
- 迁移优先，先写 migration，再从 DB 自动生成实体
- `sea-orm-cli migrate` 管理版本
**zclaw-saas 现状**:
- `db.rs` 内联 `SCHEMA_SQL` 常量，每次启动执行
- 无回滚能力，DDL 混在应用代码中
- `SCHEMA_VERSION = 5` 手动追踪
**建议**: 使用 `sqlx-cli` 的迁移系统。
```
migrations/
├── 20260329000001_initial_schema.sql
├── 20260329000002_fix_timestamps.sql
└── 20260329000003_add_indexes.sql
```
---
### 2.5 模式五: CLI Task 系统 ⭐ 中等价值
**loco-rs 实现**:
- `Task` trait 用于手动执行运维操作
- `cargo loco task <NAME>` 命令行调用
- 支持参数传递
**zclaw-saas 现状**:
- 运维任务（seed admin、schema 初始化）嵌入在 `db.rs` 的 `init_db()` 中
- 无法手动触发、无法传参
**建议**: 添加 Task trait + CLI 解析。
```rust
#[async_trait]
pub trait Task: Send + Sync {
fn name(&self) -> &str;
fn description(&self) -> &str;
async fn run(&self, state: &AppState, args: &HashMap<String, String>) -> SaasResult<()>;
}
```
---
### 2.6 模式六: 多环境配置 ⭐ 中等价值
**loco-rs 实现**:
- `development.yaml` / `production.yaml` / `test.yaml`
- 通过 `LOCO_ENV` 环境变量选择
- 支持 Tera 模板语法引用环境变量
**zclaw-saas 现状**:
- 单个 `saas-config.toml` 文件
- 通过 `ZCLAW_SAAS_CONFIG` 路径覆盖
**建议**: 采用环境分离配置。
```
config/
├── saas-development.toml
├── saas-production.toml
└── saas-test.toml
```
---
### 2.7 模式七: 可配置中间件栈 ⭐ 低价值
**loco-rs 实现**:
- YAML 配置 CORS、timeout、payload limit 等中间件参数
- Per-handler 和 per-route-group 的中间件层
**zclaw-saas 现状**:
- CORS origins、timeout 等硬编码在 `main.rs` 的 `build_router()` 中
**建议**: 当前优先级低，后续可将中间件参数移入 TOML 配置。
---
### 2.8 模式八: 集成测试辅助 ⭐ 中等价值
**loco-rs 实现**:
- `request::(|request, ctx| async { ... })` 风格的请求测试
- 自动启动测试 app + 测试数据库
- `assert_debug_snapshot!` 快照测试
**zclaw-saas 现状**:
- 基础的 `tests/account_test.rs`
**建议**: 添加测试辅助工具（app 启动 + 请求发送 + fixture）。
---
### 2.9 ~~模式九: Fat Model~~ — 不建议采用
**loco-rs 实现**: 业务逻辑放在 `impl ActiveModel` 中（Active Record 模式）
**原因**: 依赖 SeaORM 实体结构。zclaw-saas 使用 SQLx，Service Layer 模式更适合。
### 2.10 ~~模式十: SeaORM / YAML 配置~~ — 不建议采用
**原因**:
- SeaORM 引入 ORM 抽象层，与现有 SQLx 原始查询冲突
- YAML 在 Rust 生态中不如 TOML 类型安全
- loco-rs creator jondot 确认无增量集成路径，必须创建新项目迁移
## 3. zclaw-saas 与 loco-rs 架构对照
| 维度 | loco-rs | zclaw-saas (当前) | 建议 |
|------|---------|-------------------|------|
| Web 框架 | Axum | Axum | 保持不变 |
| 数据库层 | SeaORM (ORM) | SQLx (原始查询) | 保持 SQLx + FromRow |
| 后台任务 | sidekiq-rs (Redis) | tokio::spawn (手动) | **引入 Worker trait** |
| 定时任务 | YAML Scheduler | 硬编码 interval | **引入 TOML Scheduler** |
| 数据库模型 | 自动生成实体 | 元组解构 | **引入 FromRow** |
| 迁移系统 | sea-orm-cli | 内联 SQL | **引入 sqlx-cli** |
| 错误处理 | 统一 Error enum | SaasError (thiserror) | 已优秀，保持不变 |
| 配置系统 | YAML per-env | TOML 单文件 | **引入多环境配置** |
| CLI 任务 | Task trait | 嵌入 init 代码 | **引入 Task trait** |
| 测试 | 请求测试辅助 | 基础测试 | **引入测试辅助** |
## 4. 实施优先级
| 优先级 | 模式 | 价值 | 工作量 |
|--------|------|------|--------|
| 1 | FromRow 类型化模型 + 迁移系统 | 最高 | 中 |
| 2 | Worker trait 后台任务 | 高 | 低 |
| 3 | 声明式 Scheduler | 高 | 低 |
| 4 | CLI Task 系统 | 中 | 低 |
| 5 | 多环境配置 | 中 | 低 |
| 6 | 集成测试辅助 | 中 | 中 |
| 7 | 可配置中间件 | 低 | 低 |
## 5. 参考
- [loco.rs 官方文档](https://loco.rs/docs/the-app/)
- [loco-rs GitHub](https://github.com/loco-rs/loco)
- [Reddit: 如何从 Axum 迁移到 loco-rs](https://www.reddit.com/r/rust/comments/1g9hc1z/how_to_integratemigrate_to_locors_from_axum_app/)
- [Shuttle.dev: 介绍 Loco](https://www.shuttle.dev/blog/2023/12/20/loco-rust-rails)