Api design

是什么

这是一份 REST API（应用程序接口）设计规范，让团队对外暴露的接口在命名、版本、分页、错误码上保持一致，新成员一周内就能写出符合公司风格的接口，外部接入方也能少踩坑。

怎么用

1. 新功能立项时，先按本规范画出 URL 路径和资源命名，确保用动词命名错误的接口不会进 PR（合并请求）。
2. Review 老接口时对照分页、过滤、错误响应小节，把不一致的地方列成技术债清单。
3. 对外发版前，按版本策略章节决定走 URI 版本号还是 Header 版本号，避免接入方升级时被动断链。
4. 团队新人入职第一周，把本文档作为 API 风格 onboarding（入职培训）必读，比口口相传更稳。
5. 出现接口设计争论时，以本规范作为仲裁基线，避免每次都靠个人偏好拍板。

架构图

flowchart LR
    A[新接口需求] --> B[查阅 API 规范]
    B --> C[设计 URL 与资源]
    C --> D[定义分页与错误]
    D --> E[Review 合规]
    E --> F[发布对外接口]

API Design Patterns

Conventions and best practices for designing consistent, developer-friendly REST APIs.

When to Activate

• Designing new API endpoints
• Reviewing existing API contracts
• Adding pagination, filtering, or sorting
• Implementing error handling for APIs
• Planning API versioning strategy
• Building public or partner-facing APIs

Resource Design

URL Structure

# Resources are nouns, plural, lowercase, kebab-case
GET    /api/v1/users
GET    /api/v1/users/:id
POST   /api/v1/users
PUT    /api/v1/users/:id
PATCH  /api/v1/users/:id
DELETE /api/v1/users/:id

# Sub-resources for relationships
GET    /api/v1/users/:id/orders
POST   /api/v1/users/:id/orders

# Actions that don't map to CRUD (use verbs sparingly)
POST   /api/v1/orders/:id/cancel
POST   /api/v1/auth/login
POST   /api/v1/auth/refresh

Naming Rules

# GOOD
/api/v1/team-members          # kebab-case for multi-word resources
/api/v1/orders?status=active  # query params for filtering
/api/v1/users/123/orders      # nested resources for ownership

# BAD
/api/v1/getUsers              # verb in URL
/api/v1/user                  # singular (use plural)
/api/v1/team_members          # snake_case in URLs
/api/v1/users/123/getOrders   # verb in nested resource

HTTP Methods and Status Codes

Method Semantics

Method	Idempotent	Safe	Use For
GET	Yes	Yes	Retrieve resources
POST	No	No	Create resources, trigger actions
PUT	Yes	No	Full replacement of a resource
PATCH	No*	No	Partial update of a resource
DELETE	Yes	No	Remove a resource

*PATCH can be made idempotent with proper implementation

Status Code Reference

# Success
200 OK                    — GET, PUT, PATCH (with response body)
201 Created               — POST (include Location header)
204 No Content            — DELETE, PUT (no response body)

# Client Errors
400 Bad Request           — Validation failure, malformed JSON
401 Unauthorized          — Missing or invalid authentication
403 Forbidden             — Authenticated but not authorized
404 Not Found             — Resource doesn't exist
409 Conflict              — Duplicate entry, state conflict
422 Unprocessable Entity  — Semantically invalid (valid JSON, bad data)
429 Too Many Requests     — Rate limit exceeded

# Server Errors
500 Internal Server Error — Unexpected failure (never expose details)
502 Bad Gateway           — Upstream service failed
503 Service Unavailable   — Temporary overload, include Retry-After

Common Mistakes

# BAD: 200 for everything
{ "status": 200, "success": false, "error": "Not found" }

# GOOD: Use HTTP status codes semantically
HTTP/1.1 404 Not Found
{ "error": { "code": "not_found", "message": "User not found" } }

# BAD: 500 for validation errors
# GOOD: 400 or 422 with field-level details

# BAD: 200 for created resources
# GOOD: 201 with Location header
HTTP/1.1 201 Created
Location: /api/v1/users/abc-123

Response Format

Success Response

{
  "data": {
    "id": "abc-123",
    "email": "[email protected]",
    "name": "Alice",
    "created_at": "2025-01-15T10:30:00Z"
  }
}

Collection Response (with Pagination)

{
  "data": [
    { "id": "abc-123", "name": "Alice" },
    { "id": "def-456", "name": "Bob" }
  ],
  "meta": {
    "total": 142,
    "page": 1,
    "per_page": 20,
    "total_pages": 8
  },
  "links": {
    "self": "/api/v1/users?page=1&per_page=20",
    "next": "/api/v1/users?page=2&per_page=20",
    "last": "/api/v1/users?page=8&per_page=20"
  }
}

Error Response

{
  "error": {
    "code": "validation_error",
    "message": "Request validation failed",
    "details": [
      {
        "field": "email",
        "message": "Must be a valid email address",
        "code": "invalid_format"
      },
      {
        "field": "age",
        "message": "Must be between 0 and 150",
        "code": "out_of_range"
      }
    ]
  }
}

Response Envelope Variants

// Option A: Envelope with data wrapper (recommended for public APIs)
interface ApiResponse<T> {
  data: T;
  meta?: PaginationMeta;
  links?: PaginationLinks;
}

interface ApiError {
  error: {
    code: string;
    message: string;
    details?: FieldError[];
  };
}

// Option B: Flat response (simpler, common for internal APIs)
// Success: just return the resource directly
// Error: return error object
// Distinguish by HTTP status code

Pagination

Offset-Based (Simple)

GET /api/v1/users?page=2&per_page=20

# Implementation
SELECT * FROM users
ORDER BY created_at DESC
LIMIT 20 OFFSET 20;

Pros: Easy to implement, supports "jump to page N" Cons: Slow on large offsets (OFFSET 100000), inconsistent with concurrent inserts

Cursor-Based (Scalable)

GET /api/v1/users?cursor=eyJpZCI6MTIzfQ&limit=20

# Implementation
SELECT * FROM users
WHERE id > :cursor_id
ORDER BY id ASC
LIMIT 21;  -- fetch one extra to determine has_next

{
  "data": [...],
  "meta": {
    "has_next": true,
    "next_cursor": "eyJpZCI6MTQzfQ"
  }
}

Pros: Consistent performance regardless of position, stable with concurrent inserts Cons: Cannot jump to arbitrary page, cursor is opaque

When to Use Which

Use Case	Pagination Type
Admin dashboards, small datasets (<10K)	Offset
Infinite scroll, feeds, large datasets	Cursor
Public APIs	Cursor (default) with offset (optional)
Search results	Offset (users expect page numbers)

Filtering, Sorting, and Search

Filtering

# Simple equality
GET /api/v1/orders?status=active&customer_id=abc-123

# Comparison operators (use bracket notation)
GET /api/v1/products?price[gte]=10&price[lte]=100
GET /api/v1/orders?created_at[after]=2025-01-01

# Multiple values (comma-separated)
GET /api/v1/products?category=electronics,clothing

# Nested fields (dot notation)
GET /api/v1/orders?customer.country=US

Sorting

# Single field (prefix - for descending)
GET /api/v1/products?sort=-created_at

# Multiple fields (comma-separated)
GET /api/v1/products?sort=-featured,price,-created_at

Full-Text Search

# Search query parameter
GET /api/v1/products?q=wireless+headphones

# Field-specific search
GET /api/v1/users?email=alice

Sparse Fieldsets

# Return only specified fields (reduces payload)
GET /api/v1/users?fields=id,name,email
GET /api/v1/orders?fields=id,total,status&include=customer.name

Authentication and Authorization

Token-Based Auth

# Bearer token in Authorization header
GET /api/v1/users
Authorization: Bearer eyJhbGciOiJIUzI1NiIs...

# API key (for server-to-server)
GET /api/v1/data
X-API-Key: sk_live_abc123

Authorization Patterns

// Resource-level: check ownership
app.get("/api/v1/orders/:id", async (req, res) => {
  const order = await Order.findById(req.params.id);
  if (!order) return res.status(404).json({ error: { code: "not_found" } });
  if (order.userId !== req.user.id) return res.status(403).json({ error: { code: "forbidden" } });
  return res.json({ data: order });
});

// Role-based: check permissions
app.delete("/api/v1/users/:id", requireRole("admin"), async (req, res) => {
  await User.delete(req.params.id);
  return res.status(204).send();
});

Rate Limiting

Headers

HTTP/1.1 200 OK
X-RateLimit-Limit: 100
X-RateLimit-Remaining: 95
X-RateLimit-Reset: 1640000000

# When exceeded
HTTP/1.1 429 Too Many Requests
Retry-After: 60
{
  "error": {
    "code": "rate_limit_exceeded",
    "message": "Rate limit exceeded. Try again in 60 seconds."
  }
}

Rate Limit Tiers

Tier	Limit	Window	Use Case
Anonymous	30/min	Per IP	Public endpoints
Authenticated	100/min	Per user	Standard API access
Premium	1000/min	Per API key	Paid API plans
Internal	10000/min	Per service	Service-to-service

Versioning

URL Path Versioning (Recommended)

/api/v1/users
/api/v2/users

Pros: Explicit, easy to route, cacheable Cons: URL changes between versions

Header Versioning

GET /api/users
Accept: application/vnd.myapp.v2+json

Pros: Clean URLs Cons: Harder to test, easy to forget

Versioning Strategy

1. Start with /api/v1/ — don't version until you need to
2. Maintain at most 2 active versions (current + previous)
3. Deprecation timeline:
   - Announce deprecation (6 months notice for public APIs)
   - Add Sunset header: Sunset: Sat, 01 Jan 2026 00:00:00 GMT
   - Return 410 Gone after sunset date
4. Non-breaking changes don't need a new version:
   - Adding new fields to responses
   - Adding new optional query parameters
   - Adding new endpoints
5. Breaking changes require a new version:
   - Removing or renaming fields
   - Changing field types
   - Changing URL structure
   - Changing authentication method

Implementation Patterns

TypeScript (Next.js API Route)

import { z } from "zod";
import { NextRequest, NextResponse } from "next/server";

const createUserSchema = z.object({
  email: z.string().email(),
  name: z.string().min(1).max(100),
});

export async function POST(req: NextRequest) {
  const body = await req.json();
  const parsed = createUserSchema.safeParse(body);

  if (!parsed.success) {
    return NextResponse.json({
      error: {
        code: "validation_error",
        message: "Request validation failed",
        details: parsed.error.issues.map(i => ({
          field: i.path.join("."),
          message: i.message,
          code: i.code,
        })),
      },
    }, { status: 422 });
  }

  const user = await createUser(parsed.data);

  return NextResponse.json(
    { data: user },
    {
      status: 201,
      headers: { Location: `/api/v1/users/${user.id}` },
    },
  );
}

Python (Django REST Framework)

from rest_framework import serializers, viewsets, status
from rest_framework.response import Response

class CreateUserSerializer(serializers.Serializer):
    email = serializers.EmailField()
    name = serializers.CharField(max_length=100)

class UserSerializer(serializers.ModelSerializer):
    class Meta:
        model = User
        fields = ["id", "email", "name", "created_at"]

class UserViewSet(viewsets.ModelViewSet):
    serializer_class = UserSerializer
    permission_classes = [IsAuthenticated]

    def get_serializer_class(self):
        if self.action == "create":
            return CreateUserSerializer
        return UserSerializer

    def create(self, request):
        serializer = CreateUserSerializer(data=request.data)
        serializer.is_valid(raise_exception=True)
        user = UserService.create(**serializer.validated_data)
        return Response(
            {"data": UserSerializer(user).data},
            status=status.HTTP_201_CREATED,
            headers={"Location": f"/api/v1/users/{user.id}"},
        )

Go (net/http)

func (h *UserHandler) CreateUser(w http.ResponseWriter, r *http.Request) {
    var req CreateUserRequest
    if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
        writeError(w, http.StatusBadRequest, "invalid_json", "Invalid request body")
        return
    }

    if err := req.Validate(); err != nil {
        writeError(w, http.StatusUnprocessableEntity, "validation_error", err.Error())
        return
    }

    user, err := h.service.Create(r.Context(), req)
    if err != nil {
        switch {
        case errors.Is(err, domain.ErrEmailTaken):
            writeError(w, http.StatusConflict, "email_taken", "Email already registered")
        default:
            writeError(w, http.StatusInternalServerError, "internal_error", "Internal error")
        }
        return
    }

    w.Header().Set("Location", fmt.Sprintf("/api/v1/users/%s", user.ID))
    writeJSON(w, http.StatusCreated, map[string]any{"data": user})
}

Red Flags

• Verbs in resource URLs (/getUsers, /deleteOrder) — REST resources are nouns; use HTTP methods for actions (GET /users, DELETE /orders/{id})
• 200 OK for every response — clients cannot distinguish success from failure by status code; use 201 for created, 404 for not found, 409 for conflict, etc.
• Unbounded list endpoints — returning all rows without pagination causes OOM on both client and server at scale; every collection endpoint must paginate by default
• Breaking changes without a version bump — removing or renaming fields silently breaks existing clients; any contract-breaking change requires a new API version
• Error responses without a machine-readable code — a human-readable message alone is useless for programmatic handling; always include a stable code field alongside message
• Auth checked at route level but not resource level — middleware that verifies "is authenticated" doesn't verify "owns this resource"; check ownership in the handler for every mutating operation
• Rate limiting applied globally but not per-identity — a global limit lets one bad actor exhaust the quota for all users; limit by authenticated user or API key, not by IP alone

Checklist

Before shipping a new endpoint:

• Resource URL follows naming conventions (plural, kebab-case, no verbs)
• Correct HTTP method used (GET for reads, POST for creates, etc.)
• Appropriate status codes returned (not 200 for everything)
• Input validated with schema (Zod, Pydantic, Bean Validation)
• Error responses follow standard format with codes and messages
• Pagination implemented for list endpoints (cursor or offset)
• Authentication required (or explicitly marked as public)
• Authorization checked (user can only access their own resources)
• Rate limiting configured
• Response does not leak internal details (stack traces, SQL errors)
• Consistent naming with existing endpoints (camelCase vs snake_case)
• Documented (OpenAPI/Swagger spec updated)