Communitygithub.com

錯誤處理

在 TypeScript、Python 和 Go 中實作穩健錯誤處理的模式。涵蓋型別化錯誤、錯誤邊界、重試、斷路器和使用者友善錯誤訊息。適用於設計錯誤型別、重試、斷路器或使用者友善失敗訊息時。

錯誤處理 是什麼?

這個技能提供了一套全面的錯誤處理模式,適用於 TypeScript、Python 和 Go,幫助開發者在生產環境中建立穩健且一致的錯誤處理機制。它強調五項核心原則:快速失敗且大聲回報、使用型別化錯誤而非字串、區分使用者與開發者訊息、絕不沉默地吞掉錯誤,以及將錯誤視為 API 合約的一部分。技能涵蓋了型別化錯誤類別(如自訂的 `AppError` 層級)、無拋出風格的 `Result` 模式、API 錯誤處理器(適用於 Next.js、Express、FastAPI)、React 錯誤邊界、以及透過指數退避進行重試的實作。也包含了 Go 語言中哨兵錯誤與錯誤包裝的慣用寫法,最後提供一個錯誤處理核對清單,確保所有邊界情形都被妥善處理。透過這些模式,開發者可以減少未處理或靜默失敗的錯誤,提升系統的可觀察性與使用者體驗。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/error-handling

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

錯誤處理模式

適用於生產應用的穩健且一致的錯誤處理模式。

啟動時機

  • 為新模組或服務設計錯誤型別或例外階層
  • 為不可靠的外部依賴添加重試邏輯或斷路器
  • 審查 API 端點,確認是否遺漏錯誤處理
  • 實作使用者友善的錯誤訊息與回饋
  • 偵錯串聯失敗或靜默錯誤吞掉的情況

核心原則

  1. 快速失敗且大聲回報 — 在錯誤發生的邊界處就將錯誤浮現;不要埋藏它們
  2. 型別化錯誤優於字串訊息 — 錯誤是帶有結構的一級值
  3. 使用者訊息 ≠ 開發者訊息 — 對使用者顯示友善文字,在伺服器端記錄完整上下文
  4. 絕不沉默地吞掉錯誤 — 每一個 catch 區塊都必須要處理、重新拋出或記錄
  5. 錯誤是你的 API 合約的一部分 — 文件化客戶端可能收到的每個錯誤代碼

TypeScript / JavaScript

型別化錯誤類別

// 為你的領域定義一個錯誤階層
export class AppError extends Error {
  constructor(
    message: string,
    public readonly code: string,
    public readonly statusCode: number = 500,
    public readonly details?: unknown,
  ) {
    super(message)
    this.name = this.constructor.name
    // Maintain correct prototype chain in transpiled ES5 JavaScript.
    // Required for `instanceof` checks (e.g., `error instanceof NotFoundError`)
    // to work correctly when extending the built-in Error class.
    Object.setPrototypeOf(this, new.target.prototype)
  }
}

export class NotFoundError extends AppError {
  constructor(resource: string, id: string) {
    super(`${resource} not found: ${id}`, 'NOT_FOUND', 404)
  }
}

export class ValidationError extends AppError {
  constructor(message: string, details: { field: string; message: string }[]) {
    super(message, 'VALIDATION_ERROR', 422, details)
  }
}

export class UnauthorizedError extends AppError {
  constructor(reason = 'Authentication required') {
    super(reason, 'UNAUTHORIZED', 401)
  }
}

export class RateLimitError extends AppError {
  constructor(public readonly retryAfterMs: number) {
    super('Rate limit exceeded', 'RATE_LIMITED', 429)
  }
}

Result 模式(無拋出風格)

適用於失敗是預期且常見的操作(例如解析、外部呼叫):

type Result<T, E = AppError> =
  | { ok: true; value: T }
  | { ok: false; error: E }

function ok<T>(value: T): Result<T> {
  return { ok: true, value }
}

function err<E>(error: E): Result<never, E> {
  return { ok: false, error }
}

// 使用方式
async function fetchUser(id: string): Promise<Result<User>> {
  try {
    const user = await db.users.findUnique({ where: { id } })
    if (!user) return err(new NotFoundError('User', id))
    return ok(user)
  } catch (e) {
    return err(new AppError('Database error', 'DB_ERROR'))
  }
}

const result = await fetchUser('abc-123')
if (!result.ok) {
  // TypeScript knows result.error here
  logger.error('Failed to fetch user', { error: result.error })
  return
}
// TypeScript knows result.value here
console.log(result.value.email)

API 錯誤處理器(Next.js / Express)

import { NextRequest, NextResponse } from 'next/server'

function handleApiError(error: unknown): NextResponse {
  // 已知的應用程式錯誤
  if (error instanceof AppError) {
    return NextResponse.json(
      {
        error: {
          code: error.code,
          message: error.message,
          ...(error.details ? { details: error.details } : {}),
        },
      },
      { status: error.statusCode },
    )
  }

  // Zod 驗證錯誤
  if (error instanceof z.ZodError) {
    return NextResponse.json(
      {
        error: {
          code: 'VALIDATION_ERROR',
          message: 'Request validation failed',
          details: error.issues.map(i => ({
            field: i.path.join('.'),
            message: i.message,
          })),
        },
      },
      { status: 422 },
    )
  }

  // 非預期錯誤 — 記錄詳細資訊,回傳通用訊息
  console.error('Unexpected error:', error)
  return NextResponse.json(
    { error: { code: 'INTERNAL_ERROR', message: 'An unexpected error occurred' } },
    { status: 500 },
  )
}

export async function POST(req: NextRequest) {
  try {
    // ... handler logic
  } catch (error) {
    return handleApiError(error)
  }
}

React 錯誤邊界

import { Component, ErrorInfo, ReactNode } from 'react'

interface Props {
  fallback: ReactNode
  onError?: (error: Error, info: ErrorInfo) => void
  children: ReactNode
}

interface State {
  hasError: boolean
  error: Error | null
}

export class ErrorBoundary extends Component<Props, State> {
  state: State = { hasError: false, error: null }

  static getDerivedStateFromError(error: Error): State {
    return { hasError: true, error }
  }

  componentDidCatch(error: Error, info: ErrorInfo) {
    this.props.onError?.(error, info)
    console.error('Unhandled React error:', error, info)
  }

  render() {
    if (this.state.hasError) return this.props.fallback
    return this.props.children
  }
}

// 使用方式
<ErrorBoundary fallback={<p>Something went wrong. Please refresh.</p>}>
  <MyComponent />
</ErrorBoundary>

Python

自訂例外階層

class AppError(Exception):
    """基礎應用程式錯誤。"""
    def __init__(self, message: str, code: str, status_code: int = 500):
        super().__init__(message)
        self.code = code
        self.status_code = status_code

class NotFoundError(AppError):
    def __init__(self, resource: str, id: str):
        super().__init__(f"{resource} not found: {id}", "NOT_FOUND", 404)

class ValidationError(AppError):
    def __init__(self, message: str, details: list[dict] | None = None):
        super().__init__(message, "VALIDATION_ERROR", 422)
        self.details = details or []

FastAPI 全域例外處理器

from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse

app = FastAPI()

@app.exception_handler(AppError)
async def app_error_handler(request: Request, exc: AppError) -> JSONResponse:
    return JSONResponse(
        status_code=exc.status_code,
        content={"error": {"code": exc.code, "message": str(exc)}},
    )

@app.exception_handler(Exception)
async def generic_error_handler(request: Request, exc: Exception) -> JSONResponse:
    # 記錄完整細節,回傳通用訊息
    logger.exception("Unexpected error", exc_info=exc)
    return JSONResponse(
        status_code=500,
        content={"error": {"code": "INTERNAL_ERROR", "message": "An unexpected error occurred"}},
    )

Go

哨兵錯誤與錯誤包裝

package domain

import "errors"

// 用於型別檢查的哨兵錯誤
var (
    ErrNotFound    = errors.New("not found")
    ErrUnauthorized = errors.New("unauthorized")
    ErrConflict     = errors.New("conflict")
)

// 用上下文包裝錯誤 — 絕不失去原始錯誤
func (r *UserRepository) FindByID(ctx context.Context, id string) (*User, error) {
    user, err := r.db.QueryRow(ctx, "SELECT * FROM users WHERE id = $1", id)
    if errors.Is(err, sql.ErrNoRows) {
        return nil, fmt.Errorf("user %s: %w", id, ErrNotFound)
    }
    if err != nil {
        return nil, fmt.Errorf("querying user %s: %w", id, err)
    }
    return user, nil
}

// 在 handler 層級,解開以決定回應
func (h *Handler) GetUser(w http.ResponseWriter, r *http.Request) {
    user, err := h.service.GetUser(r.Context(), chi.URLParam(r, "id"))
    if err != nil {
        switch {
        case errors.Is(err, domain.ErrNotFound):
            writeError(w, http.StatusNotFound, "not_found", err.Error())
        case errors.Is(err, domain.ErrUnauthorized):
            writeError(w, http.StatusForbidden, "forbidden", "Access denied")
        default:
            slog.Error("unexpected error", "err", err)
            writeError(w, http.StatusInternalServerError, "internal_error", "An unexpected error occurred")
        }
        return
    }
    writeJSON(w, http.StatusOK, user)
}

使用指數退避重試

interface RetryOptions {
  maxAttempts?: number
  baseDelayMs?: number
  maxDelayMs?: number
  retryIf?: (error: unknown) => boolean
}

async function withRetry<T>(
  fn: () => Promise<T>,
  options: RetryOptions = {},
): Promise<T> {
  const {
    maxAttempts = 3,
    baseDelayMs = 500,
    maxDelayMs = 10_000,
    retryIf = () => true,
  } = options

  let lastError: unknown

  for (let attempt = 1; attempt <= maxAttempts; attempt++) {
    try {
      return await fn()
    } catch (error) {
      lastError = error
      if (attempt === maxAttempts || !retryIf(error)) throw error

      const jitter = Math.random() * baseDelayMs
      const delay = Math.min(baseDelayMs * 2 ** (attempt - 1) + jitter, maxDelayMs)
      await new Promise(resolve => setTimeout(resolve, delay))
    }
  }

  throw lastError
}

// 使用方式:重試暫時性網路錯誤,不重試 4xx
const data = await withRetry(() => fetch('/api/data').then(r => r.json()), {
  maxAttempts: 3,
  retryIf: (error) => !(error instanceof AppError && error.statusCode < 500),
})

使用者友善的錯誤訊息

將錯誤代碼對應到人類可讀的訊息。將技術細節保留在使用者可見文字之外。

const USER_ERROR_MESSAGES: Record<string, string> = {
  NOT_FOUND: 'The requested item could not be found.',
  UNAUTHORIZED: 'Please sign in to continue.',
  FORBIDDEN: "You don't have permission to do that.",
  VALIDATION_ERROR: 'Please check your input and try again.',
  RATE_LIMITED: 'Too many requests. Please wait a moment and try again.',
  INTERNAL_ERROR: 'Something went wrong on our end. Please try again later.',
}

export function getUserMessage(code: string): string {
  return USER_ERROR_MESSAGES[code] ?? USER_ERROR_MESSAGES.INTERNAL_ERROR
}

錯誤處理核對清單

在合併任何涉及錯誤處理的程式碼前:

  • 每個 catch 區塊都有處理、重新拋出或記錄 — 沒有靜默吞掉
  • API 錯誤遵循標準信封格式 { error: { code, message } }
  • 使用者友善的訊息不包含堆疊追蹤或內部細節
  • 伺服器端記錄了完整的錯誤上下文
  • 自訂錯誤類別繼承一個帶有 code 欄位的基礎 AppError
  • 非同步函數將錯誤上浮給呼叫者 — 沒有不帶後備的 fire-and-forget
  • 重試邏輯僅重試可重試的錯誤(不是 4xx 客戶端錯誤)
  • React 元件使用 ErrorBoundary 包裝以處理渲染錯誤

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

相關技能