Files
zclaw_openfang/config/saas-development.toml
iven 8b9d506893 refactor(saas): 架构重构 + 性能优化 — 借鉴 loco-rs 模式
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
2026-03-29 19:21:48 +08:00

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TOML

# 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 },
]