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---
id: wiki-2026-0508-백엔드-프론트엔드-데이터-변환-data-transforma
title: 백엔드-프론트엔드 데이터 변환(Data Transformation between Backend and Frontend)
category: 10_Wiki/Topics
status: verified
canonical_id: self
aliases: [DTO, Data Transformation, API 응답 변환, snake_case to camelCase]
duplicate_of: none
source_trust_level: A
confidence_score: 0.9
verification_status: applied
tags: [frontend, backend, api, data-modeling, typescript]
raw_sources: []
last_reinforced: 2026-05-10
github_commit: pending
tech_stack:
language: typescript
framework: react
---
# 백엔드-프론트엔드 데이터 변환(Data Transformation between Backend and Frontend)
## 매 한 줄
> **"매 server payload 매 client model 의 일치 안함 — adapter 의 boundary"**. 매 DB schema (snake_case, nullable, denormalized) 매 UI model (camelCase, optional, normalized)의 mismatch 의 explicit 의 mapping. 매 2026 의 Zod + tRPC + GraphQL codegen 의 type-safe automation.
## 매 핵심
### 매 mismatch dimensions
- **Naming**: `user_name` (snake) ↔ `userName` (camel).
- **Types**: `1693497600` (Unix epoch) ↔ `Date` object, `"2026-05-10"``Date`.
- **Shape**: nested vs flat, `{user: {profile: {...}}}``{userId, userName, ...}`.
- **Nullability**: `null` (DB) ↔ `undefined` (TS optional).
- **Enums**: `0/1/2``'pending' | 'active' | 'closed'`.
### 매 layers (Clean Architecture)
- **DTO** (Data Transfer Object) — wire format, snake_case, raw.
- **Domain Model** — business rules, computed props.
- **View Model** — UI-specific (formatted strings, derived flags).
### 매 응용
1. REST API 의 camelCase 변환.
2. GraphQL → TypeScript codegen.
3. Date/Decimal 의 typed objects 변환.
4. Form 의 server payload 의 transform.
## 💻 패턴
### 1. snake_case ↔ camelCase (humps library)
```typescript
import { camelizeKeys, decamelizeKeys } from 'humps';
const apiResponse = { user_name: 'Alice', created_at: '2026-05-10' };
const camel = camelizeKeys(apiResponse) as { userName: string; createdAt: string };
// → { userName: 'Alice', createdAt: '2026-05-10' }
const payload = decamelizeKeys({ userName: 'Bob' });
// → { user_name: 'Bob' }
```
### 2. Zod schema (validate + transform)
```typescript
import { z } from 'zod';
const UserDTO = z.object({
user_id: z.number(),
user_name: z.string(),
created_at: z.string(),
is_active: z.union([z.literal(0), z.literal(1)]),
}).transform(d => ({
userId: d.user_id,
userName: d.user_name,
createdAt: new Date(d.created_at),
isActive: d.is_active === 1,
}));
type User = z.infer<typeof UserDTO>;
// { userId: number; userName: string; createdAt: Date; isActive: boolean }
async function fetchUser(id: number): Promise<User> {
const res = await fetch(`/api/users/${id}`);
const json = await res.json();
return UserDTO.parse(json); // validates + transforms
}
```
### 3. TanStack Query select (boundary transform)
```typescript
import { useQuery } from '@tanstack/react-query';
export function useUser(id: number) {
return useQuery({
queryKey: ['user', id],
queryFn: async () => {
const res = await fetch(`/api/users/${id}`);
return res.json();
},
select: (data) => UserDTO.parse(data), // transform per render
});
}
```
### 4. Date / Decimal serialization
```typescript
// server JSON cannot carry Date/BigInt natively
import Decimal from 'decimal.js';
const PaymentDTO = z.object({
amount: z.string().transform(s => new Decimal(s)),
paid_at: z.string().datetime().transform(s => new Date(s)),
});
// reverse: outgoing
function toPayload(p: { amount: Decimal; paidAt: Date }) {
return {
amount: p.amount.toString(),
paid_at: p.paidAt.toISOString(),
};
}
```
### 5. tRPC (no transform needed — type-safe RPC)
```typescript
// server (router.ts)
import { initTRPC } from '@trpc/server';
const t = initTRPC.create();
export const appRouter = t.router({
user: t.procedure
.input(z.object({ id: z.number() }))
.query(async ({ input }) => {
const u = await db.user.findUnique({ where: { id: input.id } });
return u; // typed end-to-end
}),
});
// client — types inferred, no manual mapping
const { data } = trpc.user.useQuery({ id: 1 });
```
### 6. GraphQL Codegen
```yaml
# codegen.yml
schema: http://localhost:4000/graphql
documents: 'src/**/*.graphql'
generates:
src/gql/types.ts:
plugins:
- typescript
- typescript-operations
- typescript-react-query
```
### 7. View Model layer (UI formatting)
```typescript
type User = { firstName: string; lastName: string; createdAt: Date };
type UserVM = { fullName: string; joinedAgo: string };
function toVM(u: User): UserVM {
return {
fullName: `${u.firstName} ${u.lastName}`,
joinedAgo: formatDistanceToNow(u.createdAt, { addSuffix: true }),
};
}
```
## 매 결정 기준
| 상황 | Approach |
|---|---|
| REST + TypeScript | Zod schema 의 validate + transform at boundary. |
| Full-stack TypeScript monorepo | tRPC 의 zero transform overhead. |
| GraphQL backend | GraphQL Codegen 의 auto types. |
| Legacy snake_case API | humps 의 camelize at fetch boundary. |
| BigInt / Decimal | string serialization + parse on client. |
**기본값**: Zod schema 의 boundary validation + transform. tRPC 매 monorepo 의 ideal.
## 🔗 Graph
- 부모: [[Clean Architecture]] · [[API 설계]]
- 변형: [[Zod]] · [[tRPC]] · [[GraphQL Codegen]] · [[Adapter Pattern]]
- 응용: [[TanStack Query]] · [[React Hook Form]] · [[DTO Pattern]]
- Adjacent: [[직렬화 (Serialization)]] · [[Schema Validation]]
## 🤖 LLM 활용
**언제**: API integration, form submission, type-safe full-stack, validation at trust boundary.
**언제 X**: 매 internal tool 의 untyped — 매 still validate 매 trust boundary.
## ❌ 안티패턴
- **Trust the API blindly**: validate 매 trust boundary — server bug, version mismatch breaks UI silently.
- **Transform 의 component-level**: scatter mapping logic — centralize at fetch layer.
- **`any` types**: defeats TS — Zod infer 의 type derivation.
- **Date as string in app code**: lose type safety — parse to Date at boundary.
- **Manual mapping 의 100 fields**: codegen 의 use.
## 🧪 검증 / 중복
- Verified (Zod docs, tRPC docs, Martin Fowler "Patterns of Enterprise Application Architecture").
- 신뢰도 A.
## 🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — full content with Zod/tRPC/Codegen patterns |