Api Design

API Design

Overview

Design principles for building APIs that are intuitive, consistent, and scalable. Covers REST, GraphQL, gRPC, and real-time protocols.

---

RESTful API Design

Resource Naming

✅ Good (nouns, plural):
GET    /users           # List users
GET    /users/123       # Get user
POST   /users           # Create user
PUT    /users/123       # Update user
DELETE /users/123       # Delete user

❌ Bad (verbs, actions):
GET    /getUsers
POST   /createUser
POST   /users/123/delete

Nested Resources

# Hierarchical relationship
GET /users/123/orders              # User's orders
GET /users/123/orders/456          # Specific order

# Alternative: Query parameter for filtering
GET /orders?userId=123             # Filter orders by user

# Rule: Nest max 2 levels deep
❌ /users/123/orders/456/items/789/reviews
✅ /order-items/789/reviews

HTTP Methods & Status Codes

// Response structure
interface ApiResponse<T> {
  data: T;
  meta?: {
    page: number;
    limit: number;
    total: number;
  };
}

interface ApiError {
  error: {
    code: string;        // Machine-readable
    message: string;     // Human-readable
    details?: object;    // Validation errors, etc.
  };
}

Pagination

// Offset-based (simple, has issues with large datasets)
GET /users?page=2&limit=20

// Cursor-based (stable, performant)
GET /users?cursor=eyJpZCI6MTIzfQ&limit=20

// Response
{
  "data": [...],
  "meta": {
    "nextCursor": "eyJpZCI6MTQzfQ",
    "hasMore": true
  }
}

Filtering & Sorting

// Query parameters
GET /products?category=electronics&minPrice=100&maxPrice=500
GET /products?sort=-createdAt,name  // - prefix for descending

// Filter operators
GET /users?age[gte]=18&age[lte]=65
GET /users?status[in]=active,pending
GET /users?name[like]=john*

---

GraphQL Design

Schema Design

type User {
  id: ID!
  email: String!
  name: String!
  posts(first: Int, after: String): PostConnection!
  createdAt: DateTime!
}

type Post {
  id: ID!
  title: String!
  content: String!
  author: User!
  comments: [Comment!]!
}

# Connections for pagination (Relay spec)
type PostConnection {
  edges: [PostEdge!]!
  pageInfo: PageInfo!
}

type PostEdge {
  node: Post!
  cursor: String!
}

type Query {
  user(id: ID!): User
  users(first: Int, after: String, filter: UserFilter): UserConnection!
}

type Mutation {
  createUser(input: CreateUserInput!): CreateUserPayload!
  updateUser(id: ID!, input: UpdateUserInput!): UpdateUserPayload!
}

input CreateUserInput {
  email: String!
  name: String!
  password: String!
}

type CreateUserPayload {
  user: User
  errors: [Error!]
}

Resolver Patterns

// N+1 prevention with DataLoader
const userLoader = new DataLoader(async (ids: string[]) => {
  const users = await db.users.findMany({ where: { id: { in: ids } } });
  return ids.map(id => users.find(u => u.id === id));
});

const resolvers = {
  Post: {
    author: (post, _, { loaders }) => loaders.user.load(post.authorId),
  },
};

// Field-level authorization
const resolvers = {
  User: {
    email: (user, _, { currentUser }) => {
      if (currentUser.id !== user.id && !currentUser.isAdmin) {
        return null; // Hide from other users
      }
      return user.email;
    },
  },
};

Error Handling

// Union types for expected errors
type CreatePostResult = Post | ValidationError | NotAuthorizedError

// Or use errors field in payload
type CreatePostPayload {
  post: Post
  errors: [CreatePostError!]
}

union CreatePostError = ValidationError | RateLimitError

---

gRPC Design

Protocol Buffers

syntax = "proto3";

package users.v1;

service UserService {
  rpc GetUser(GetUserRequest) returns (GetUserResponse);
  rpc ListUsers(ListUsersRequest) returns (ListUsersResponse);
  rpc CreateUser(CreateUserRequest) returns (CreateUserResponse);

  // Streaming
  rpc WatchUsers(WatchUsersRequest) returns (stream UserEvent);
  rpc BatchCreateUsers(stream CreateUserRequest) returns (BatchCreateResponse);
}

message User {
  string id = 1;
  string email = 2;
  string name = 3;
  google.protobuf.Timestamp created_at = 4;
}

message GetUserRequest {
  string id = 1;
}

message GetUserResponse {
  User user = 1;
}

message ListUsersRequest {
  int32 page_size = 1;
  string page_token = 2;
  UserFilter filter = 3;
}

message ListUsersResponse {
  repeated User users = 1;
  string next_page_token = 2;
}

When to Use gRPC

---

API Versioning

Strategies

# URL versioning (most common)
GET /v1/users
GET /v2/users

# Header versioning
GET /users
Accept: application/vnd.api+json; version=2

# Query parameter
GET /users?version=2

Breaking vs Non-Breaking Changes

Non-Breaking (safe):
✅ Add new optional field
✅ Add new endpoint
✅ Add new optional query parameter
✅ Expand enum values (if client ignores unknown)

Breaking (requires new version):
❌ Remove field
❌ Rename field
❌ Change field type
❌ Make optional field required
❌ Change URL structure

Deprecation Strategy

// OpenAPI deprecation
/**
 * @deprecated Use /v2/users instead. Will be removed on 2025-06-01.
 */
app.get('/v1/users', ...);

// Response header
res.setHeader('Deprecation', 'true');
res.setHeader('Sunset', 'Sat, 01 Jun 2025 00:00:00 GMT');
res.setHeader('Link', '</v2/users>; rel="successor-version"');

---

Real-time APIs

WebSocket

// Server
wss.on('connection', (ws) => {
  ws.on('message', (data) => {
    const message = JSON.parse(data);

    switch (message.type) {
      case 'subscribe':
        subscriptions.add(ws, message.channel);
        break;
      case 'unsubscribe':
        subscriptions.remove(ws, message.channel);
        break;
    }
  });
});

// Client
const ws = new WebSocket('wss://api.example.com/ws');

ws.send(JSON.stringify({
  type: 'subscribe',
  channel: 'orders:user:123'
}));

ws.onmessage = (event) => {
  const data = JSON.parse(event.data);
  handleUpdate(data);
};

Server-Sent Events (SSE)

// Server
app.get('/events', (req, res) => {
  res.setHeader('Content-Type', 'text/event-stream');
  res.setHeader('Cache-Control', 'no-cache');
  res.setHeader('Connection', 'keep-alive');

  const sendEvent = (data: object) => {
    res.write(`data: ${JSON.stringify(data)}\n\n`);
  };

  // Subscribe to events
  eventEmitter.on('update', sendEvent);

  req.on('close', () => {
    eventEmitter.off('update', sendEvent);
  });
});

// Client
const source = new EventSource('/events');
source.onmessage = (event) => {
  const data = JSON.parse(event.data);
  handleUpdate(data);
};

---

API Documentation

OpenAPI (Swagger)

openapi: 3.0.3
info:
  title: User API
  version: 1.0.0

paths:
  /users:
    get:
      summary: List users
      parameters:
        - name: limit
          in: query
          schema:
            type: integer
            default: 20
      responses:
        '200':
          description: Success
          content:
            application/json:
              schema:
                type: object
                properties:
                  data:
                    type: array
                    items:
                      $ref: '#/components/schemas/User'

components:
  schemas:
    User:
      type: object
      required: [id, email, name]
      properties:
        id:
          type: string
          format: uuid
        email:
          type: string
          format: email
        name:
          type: string

---

Security Best Practices

// Rate limit headers
res.setHeader('X-RateLimit-Limit', '100');
res.setHeader('X-RateLimit-Remaining', '95');
res.setHeader('X-RateLimit-Reset', '1640000000');

---

Related Skills

• [[architecture-patterns]] - API Gateway, microservices
• [[security-practices]] - Authentication, authorization
• [[documentation]] - API documentation tools

---

Sharp Edges（常見陷阱）

這些是 API 設計中最常見且代價最高的錯誤

SE-1: 破壞性變更 (Breaking Changes)

• 嚴重度: critical
• 情境: 修改現有 API 導致客戶端崩潰，沒有適當的版本控制
• 原因: 刪除欄位、改變欄位類型、修改必填性、重新命名
• 症狀:
• 客戶端突然出現錯誤
• 舊版 App 無法使用
• 用戶投訴「昨天還能用，今天就壞了」
• 檢測: \-.*field|rename.*property|required.*true.*→.*false|type.*string.*→.*number
• 解法: 使用 API 版本控制、只做 additive changes、設定 deprecation 期限

SE-2: 過度取得 (Over-fetching)

• 嚴重度: medium
• 情境: API 回傳太多客戶端不需要的資料
• 原因: 「反正都有就回傳」的心態、沒有考慮不同使用場景
• 症狀:
• API 響應很大但客戶端只用其中一小部分
• 行動裝置載入緩慢
• 頻寬浪費
• 檢測: select\s*\*|findMany\(\)|findAll\(\)(?!.*select)
• 解法: 使用 fields selection、GraphQL、按需求設計 endpoint

SE-3: 取得不足 (Under-fetching)

• 嚴重度: medium
• 情境: 需要呼叫多個 API 才能取得完整資料
• 原因: 過度細分 endpoint、沒有考慮常見使用場景
• 症狀:
• 前端需要 5+ 個 API 呼叫才能渲染一個頁面
• 複雜的前端資料整合邏輯
• N+1 API 請求問題
• 檢測: Promise\.all\(.*fetch.*fetch.*fetch|\.then\(.*fetch
• 解法: 設計聚合 endpoint、使用 include/expand 參數、考慮 BFF pattern

SE-4: 不一致的錯誤格式

• 嚴重度: high
• 情境: 不同 endpoint 回傳不同格式的錯誤，客戶端難以統一處理
• 原因: 沒有統一的錯誤處理規範、不同開發者各自實作
• 症狀:
• 有的錯誤用 error，有的用 message，有的用 errors
• HTTP status code 使用不一致
• 客戶端需要寫很多 if-else 處理不同錯誤格式
• 檢測: res\.json\(\{.*error|res\.json\(\{.*message|res\.status\(500\).*error
• 解法: 定義統一的錯誤回應格式、使用 global error handler、建立錯誤碼系統

SE-5: 缺乏 Rate Limiting

• 嚴重度: critical
• 情境: API 沒有請求頻率限制，容易被濫用或攻擊
• 原因: 「先做出來再說」、不了解風險
• 症狀:
• DDoS 攻擊導致服務癱瘓
• 單一用戶耗盡所有資源
• 雲端帳單爆炸
• 檢測: app\.use\((?!.*rateLimit)|router\.(?!.*limit)|express\(\)(?!.*rate)
• 解法: 實作 rate limiting middleware、使用 Redis 追蹤請求、設定合理的限制

---

Validations

V-1: 禁止 HTTP status 200 回傳錯誤

• 類型: regex
• 嚴重度: high
• 模式: res\.json\(\s*\{\s*error|res\.send\(\s*\{\s*error|\.json\(\{.*success:\s*false
• 訊息: Error responses should use appropriate HTTP status codes (4xx/5xx)
• 修復建議: Use res.status(400).json({ error: ... }) for client errors
• 適用: *.ts, *.js

V-2: API 路徑使用動詞

• 類型: regex
• 嚴重度: medium
• 模式: (get|create|update|delete|fetch|remove|add)\/|\/get|\/create|\/update|\/delete
• 訊息: REST API paths should use nouns, not verbs (use HTTP methods instead)
• 修復建議: Change /getUsers to GET /users, /createUser to POST /users
• 適用: *.ts, *.js

V-3: 缺少輸入驗證

• 類型: regex
• 嚴重度: critical
• 模式: req\.body\.\w+(?!.*validate|.*schema|.*zod|.*joi|.*yup)
• 訊息: Request body accessed without apparent validation
• 修復建議: Add validation with Zod/Joi before using request data
• 適用: *.ts, *.js

V-4: 硬編碼 HTTP status code

• 類型: regex
• 嚴重度: low
• 模式: res\.status\(\d{3}\)
• 訊息: Consider using named status codes for readability
• 修復建議: Use HttpStatus.OK or constants instead of magic numbers
• 適用: *.ts, *.js

V-5: 缺少 API 版本控制

• 類型: regex
• 嚴重度: medium
• 模式: app\.(get|post|put|delete)\s*\(\s*['"]\/(?!v\d|api\/v\d)
• 訊息: API route missing version prefix
• 修復建議: Add version prefix: /api/v1/users or use header-based versioning
• 適用: *.ts, *.js

API Design Templates

REST (OpenAPI) and GraphQL schema templates.

Files

Usage

OpenAPI (REST)

cp templates/openapi.yaml ./api-spec.yaml

# Validate
npx @redocly/cli lint api-spec.yaml

# Generate docs
npx @redocly/cli build-docs api-spec.yaml

# Generate client
npx openapi-typescript api-spec.yaml -o src/types/api.ts

GraphQL

cp templates/schema.graphql ./src/schema.graphql

# With Apollo Server
npm install @apollo/server graphql

# Generate types (graphql-codegen)
npx graphql-codegen

OpenAPI Features

Included Patterns

• JWT Bearer authentication
• Pagination (page/limit)
• Reusable schemas and responses
• Error handling structure
• Multiple server environments

Customization

Add new endpoints:

paths:
  /products:
    get:
      summary: List products
      tags: [Products]
      responses:
        '200':
          description: Success

GraphQL Features

Included Patterns

• Connection-based pagination
• Input types for mutations
• Custom directives (@auth, @rateLimit)
• Subscriptions support
• Enum types

Customization

Add new types:

type Product {
  id: UUID!
  name: String!
  price: Float!
}

extend type Query {
  products(pagination: PaginationInput): ProductConnection!
}

Tools Comparison

Code Generation

TypeScript (REST)

npm install openapi-typescript
npx openapi-typescript api-spec.yaml -o types/api.ts

TypeScript (GraphQL)

npm install @graphql-codegen/cli
npx graphql-codegen init