Lov Optimize Tauri Backend

Tauri 后端调优 · Tauri Backend Tuner

Use this skill to turn a growing Tauri backend into a smaller, more stable, more pleasant development surface. The goal is not magical Rust HMR. The goal is to reduce how often Rust changes are needed, make Rust restarts less disruptive, and keep the Tauri command boundary small, typed, and auditable.

When to Use

• The user is developing with pnpm tauri dev / npm run tauri dev and Rust file changes keep closing and reopening the app.
• src-tauri/src/lib.rs has become a God file.
• The app exposes 100+ or 200+ #[tauri::command] functions.
• Frontend code scatters raw invoke("command_name") strings across many components.
• Long-running invoke / Channel calls cause stale callback warnings after reload or HMR.
• The user wants backend modularization, command consolidation, better dev scripts, or restart-state recovery.

Core Position

State this clearly when asked about hot reload:

Do not promise Rust backend HMR inside Tauri. Tauri's Rust-side "hot reload" means watch, rebuild, and restart.

Workflow

Step 1: Read Local Rules First

Before changing files, inspect project instructions and config:

pwd
find .. -name AGENTS.md -print
find .. -name CLAUDE.md -print
rg -n "beforeDevCommand|devUrl|frontendDist|tauri dev|--no-watch|invoke\\(|#\\[tauri::command\\]|generate_handler" package.json src-tauri src 2>/dev/null

Honor local constraints. If the repo says not to run pnpm build, do not run it. Prefer rg and small file reads. Do not revert unrelated user changes.

Step 2: Baseline the Backend

Collect objective numbers before proposing or editing:

wc -l src-tauri/src/lib.rs 2>/dev/null
find src-tauri/src -maxdepth 3 -type f -name "*.rs" -print0 | xargs -0 wc -l | sort -n | tail
rg -n "#\\[tauri::command\\]" src-tauri/src | wc -l
rg -n "generate_handler!|invoke\\(" src-tauri/src src 2>/dev/null

Report:

• lib.rs line count.
• Largest Rust files.
• Number of Tauri commands.
• Whether command registration lives inside startup code.
• Whether frontend uses a centralized invoke adapter.
• Known long IPC streams or background tasks.

Step 3: Classify the Problem

Use these buckets:

Step 4: Improve the Dev Loop

Add scripts without removing the existing full dev command:

{
  "scripts": {
    "dev:web": "vite",
    "dev:app": "tauri dev",
    "dev:app:no-watch": "tauri dev --no-watch"
  }
}

Document usage:

• dev:app: full Tauri development with Rust watcher.
• dev:app:no-watch: frontend-focused development; Vite HMR stays active and Rust file changes do not restart the app.
• dev:web: pure web frontend when the app supports browser-only work.

Keep the existing pnpm tauri dev route working unless the user explicitly asks to remove it.

Step 5: Modularize the Rust Backend

Goal: src-tauri/src/lib.rs should be a thin entrypoint.

Target shape:

mod app;
mod diagnostics;
mod pty_manager;

pub use app::run;

Recommended backend shape:

src-tauri/src/
├── lib.rs
├── app/
│   ├── mod.rs
│   ├── run.rs
│   ├── command_registry.rs
│   ├── command_routers.rs
│   ├── settings_core.rs
│   ├── session_cache.rs
│   ├── session_listing.rs
│   └── ...
└── shared_runtime_modules.rs

Rules:

• Prefer real mod modules over long-term include!.
• During large migrations, a temporary include! split is acceptable only as a compile-preserving checkpoint. Convert it to real modules before finishing.
• Keep each file under roughly 1000 lines unless the user sets a stricter threshold.
• Move generate_handler! out of run.rs into command_registry.rs.
• Keep run.rs focused on app lifecycle, plugins, menus, windows, and watchers.

Step 6: Reduce Commands Without Destroying the Boundary

Do not replace 200 commands with do_anything(action, payload). That removes type and permission boundaries.

Good consolidation pattern:

#[tauri::command]
async fn settings_command(action: String, payload: serde_json::Value) -> Result<serde_json::Value, String> {
    match action.as_str() {
        "patch_settings" => { /* typed deserialize + validate */ }
        "get_settings" => { /* typed return */ }
        _ => Err(format!("unknown settings action: {action}")),
    }
}

Better when possible:

#[derive(Deserialize)]
#[serde(rename_all = "camelCase", tag = "kind")]
enum SettingsPatch {
    SetEnv { key: String, value: String },
    DeleteEnv { key: String },
    TogglePlugin { plugin_id: String, enabled: bool },
}

Recommended domains to consolidate:

Keep explicit commands for:

• High-risk operations where an explicit name improves auditability.
• Commands with distinct permission or capability requirements.
• Public app API surfaces that should remain stable.

Target: under 100 commands for medium-sized apps, lower only if domain routers stay typed and auditable.

Step 7: Centralize Frontend Invokes

Create one adapter such as src/lib/tauri.ts:

import { invoke as tauriInvoke, type InvokeArgs, type InvokeOptions } from "@tauri-apps/api/core";

const COMMAND_ROUTES: Record<string, { command: string; action: string }> = {
  install_skill_template: { command: "template_command", action: "install_skill_template" },
  pty_write: { command: "pty_command", action: "pty_write" },
};

export function invoke<T>(cmd: string, args?: InvokeArgs, options?: InvokeOptions): Promise<T> {
  const route = COMMAND_ROUTES[cmd];
  if (!route) return tauriInvoke<T>(cmd, args, options);
  return tauriInvoke<T>(route.command, { action: route.action, payload: args ?? {} }, options);
}

Then replace component imports from @tauri-apps/api/core with the app adapter.

Use TanStack Query or a local query wrapper for server-state reads. Keep imperative side effects imperative.

Step 8: Fix Long IPC and Reload Warnings

When a command streams via Channel, use a request id and cancellation:

Frontend:

const streamId = crypto.randomUUID();
const channel = new Channel<Event>();
invoke("list_items_streamed", { streamId, onEvent: channel });

return () => {
  invoke("cancel_items_stream", { streamId }).catch(() => {});
};

Also cancel on HMR / pagehide:

if (import.meta.hot) {
  import.meta.hot.dispose(() => cancelStream("hmr-dispose"));
}
window.addEventListener("pagehide", () => cancelStream("pagehide"));

Rust:

static STREAM_CANCELS: LazyLock<Mutex<HashMap<String, Arc<AtomicBool>>>> =
    LazyLock::new(|| Mutex::new(HashMap::new()));

Rules:

• invoke should resolve quickly after starting a background stream.
• Every stream has a streamId.
• Cleanup removes the stream token.
• Sending to a dead channel must stop the loop.
• HMR / route unmount / pagehide should cancel active streams.
• Do not hide stale callback warnings globally with console.warn = ....

Step 9: Restore State After Dev Restarts

Make restarts less disruptive:

• Persist current hash in development.
• Persist active workspace conversation/session id.
• Flush debounced workspace saves on pagehide, visibilitychange, and HMR dispose.
• On reload, if the app lands on an empty/default hash, restore the last hash.
• For expensive session lists, keep a memory/query cache and re-stream in the background.

Keep this dev-oriented unless the product requires production resume semantics.

Step 10: Verify

Run only checks allowed by local instructions:

cargo fmt
CARGO_TARGET_DIR=target/codex-check cargo check
pnpm exec tsc --noEmit --pretty false

Use a separate CARGO_TARGET_DIR when the user's tauri dev process holds the normal Cargo build lock.

Report:

• lib.rs line count.
• Largest Rust file count.
• Tauri command count.
• Rust check result.
• TypeScript check result, including unrelated existing blockers.
• Scripts added and how to use them.

Output Checklist

Final answer must include:

• What changed in dev scripts.
• What changed in backend module/command structure.
• What changed in IPC/restart lifecycle.
• Exact verification commands run.
• Any remaining warnings or blocked checks.

Runtime context (shared)

运行前读取本 Skill 包的 skill.yaml，由宿主提供 skill-runtime/v1 上下文。字段解析顺序为：当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。

• 只使用 Manifest 声明的字段；Profile 保存公开品牌事实，Preferences 保存个人工作偏好。
• required: true 字段缺失时，按 Manifest 的问题配置向用户提出一个聚焦问题；用户明确同意后再保存回答。
• 报错提供可复制的 context_id、字段路径与来源，诊断内容避开秘密、完整私人路径和原始配置。

通用反馈闭环

用户在 Skill 驱动任务中提出修改意见时，继续当前产物前必须执行：

1. 先判断意见是 task-specific（仅本次）还是 reusable（可跨任务复用）。
2. task-specific 只修改当前任务，不改 Skill。
3. reusable 先确定作用域：领域规则先更新对应 canonical Skill；适用于所有 Skill 的规则先更新共享规范。
4. 完成规则更新、版本、lint 与分发核验后，再把修改应用到当前任务。
5. reusable 修改会使此前的“确认”“继续”“发吧”失效；完成当前产物修改和回读后必须停下，等待用户下一步指示，不自动进入发布、提交或其他外部写入。