zclaw_openfang

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Author	SHA1	Message	Date
iven	49abd0fe89	feat(saas): wire llm_routing into account CRUD and auth responses - Add llm_routing to all list_accounts/get_account SQL queries and JSON responses - Add llm_routing to UpdateAccountRequest with COALESCE update - Add llm_routing to AccountPublic struct in auth types - Wire llm_routing into register (default 'local'), login, and me handlers - Add llm_routing field to AccountRow, AccountAuthRow, AccountLoginRow model structs Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-31 03:21:19 +08:00
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

Author

SHA1

Message

Date

iven

49abd0fe89

feat(saas): wire llm_routing into account CRUD and auth responses

- Add llm_routing to all list_accounts/get_account SQL queries and JSON responses
- Add llm_routing to UpdateAccountRequest with COALESCE update
- Add llm_routing to AccountPublic struct in auth types
- Wire llm_routing into register (default 'local'), login, and me handlers
- Add llm_routing field to AccountRow, AccountAuthRow, AccountLoginRow model structs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-03-31 03:21:19 +08:00

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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