- Configure workspace Git repository with comprehensive .gitignore - Add Odoo as submodule for ERP reference code - Include documentation: SETUP.md, GIT-STRUCTURE.md - Add gitignore templates for projects (backend, frontend, database) - Structure supports independent repos per project/subproject level Workspace includes: - core/ - Reusable patterns, modules, orchestration system - projects/ - Active projects (erp-suite, gamilit, trading-platform, etc.) - knowledge-base/ - Reference code and patterns (includes Odoo submodule) - devtools/ - Development tools and templates - customers/ - Client implementations template 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
576 lines
14 KiB
Markdown
576 lines
14 KiB
Markdown
# ADR-019: Adopción de Zod v3 para Runtime Validation
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**Estado:** ✅ Aceptado
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**Fecha:** 2025-11-23
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**Autores:** Frontend-Developer, Architecture-Analyst
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**Decisión:** Adoptar Zod v3 como solución estándar para validación de runtime en frontend
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**Tags:** frontend, validation, type-safety, zod, runtime
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---
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## Contexto
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El frontend de GAMILIT consume APIs REST del backend. TypeScript provee type-safety en **compile-time**, pero no garantiza que los datos recibidos del backend en **runtime** coincidan con los types esperados.
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### Situación Inicial
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**Problema:** TypeScript types NO validan datos en runtime
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```typescript
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// Types TypeScript (compile-time only)
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interface UserGamificationData {
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xp: number;
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rank: string;
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coins: number;
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}
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// API call
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const response = await apiClient.get<UserGamificationData>('/gamification/user/123');
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const data = response.data; // ✅ TypeScript happy
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// Pero si backend envía:
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// { xp: "invalid", rank: null, coins: undefined }
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// ❌ TypeScript NO detecta el error en runtime
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// ❌ App crashea con "Cannot read property of undefined"
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```
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### Problemas Identificados
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#### 1. API Responses No Confiables
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**Caso real (BUG-FRONTEND-003):**
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Backend cambió formato de `rank` de string → object:
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```json
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// Antes
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{ "rank": "Nacom" }
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// Después (backend actualizado, frontend no)
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{ "rank": { "name": "Nacom", "level": 2 } }
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```
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**Resultado:** Frontend crasheó en producción (100+ errores en Sentry)
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#### 2. Mensajes de Error Crípticos
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Sin validación runtime:
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```
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TypeError: Cannot read property 'name' of undefined
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at GamificationWidget.tsx:42
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```
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Con validación runtime:
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```
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Validation Error: Expected rank to be string, received object
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at gamificationApi.getUserSummary()
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```
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#### 3. Falta de Type-Safety Real
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```typescript
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// Type assertion es mentira
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const data = response.data as UserGamificationData;
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// ^^^^^^^^^^^^^^^^^^^^^^
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// "Trust me bro" - no hay validación real
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```
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#### 4. Debugging Difícil
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**Tiempo promedio debugging bad API data:** 45 minutos
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- Reproducir issue
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- Inspeccionar network tab
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- Buscar qué campo falló
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- Validar con backend
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---
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## Decisión
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**Adoptamos Zod v3** como librería estándar para runtime validation de API responses en frontend.
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### Implementación
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**Instalación:**
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```bash
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npm install zod@^3.22.0
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```
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**Patrón de uso:**
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```typescript
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// 1. Definir schema Zod (reemplaza TypeScript interface)
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import { z } from 'zod';
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const UserGamificationSchema = z.object({
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xp: z.number().int().min(0),
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rank: z.string(),
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rankProgress: z.number().min(0).max(100),
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coins: z.number().int().min(0),
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achievements: z.array(z.object({
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id: z.string().uuid(),
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name: z.string(),
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unlockedAt: z.string().datetime(),
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})),
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});
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// 2. Inferir TypeScript type desde schema
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type UserGamificationData = z.infer<typeof UserGamificationSchema>;
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// 3. Validar response en API layer
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export const gamificationApi = {
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getUserSummary: async (userId: string): Promise<UserGamificationData> => {
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const response = await apiClient.get(`/gamification/users/${userId}/summary`);
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// ✅ Runtime validation
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const validatedData = UserGamificationSchema.parse(response.data);
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// ^^^^^
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// Throws ZodError si data no coincide con schema
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return validatedData; // Type-safe guaranteed
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},
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};
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```
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**Manejo de errores:**
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```typescript
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try {
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const data = await gamificationApi.getUserSummary(userId);
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} catch (error) {
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if (error instanceof z.ZodError) {
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console.error('Validation failed:', error.errors);
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// [{ path: ['rank'], message: 'Expected string, received object' }]
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toast.error('Datos inválidos recibidos del servidor');
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}
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}
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```
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---
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## Alternativas Consideradas
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### Alternativa 1: Yup
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**Descripción:** Librería de validación inspirada en Joi
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**Pros:**
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- ✅ API familiar (similar a Joi)
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- ✅ Soporte para validación de forms (Formik integration)
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- ✅ Mensajes de error customizables
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**Cons:**
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- ❌ No tiene type inference de TypeScript (requiere types separados)
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- ❌ Bundle size mayor (12 KB vs 8 KB de Zod)
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- ❌ Performance inferior en validaciones complejas
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- ❌ No es TypeScript-first
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**Ejemplo:**
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```typescript
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import * as yup from 'yup';
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// ❌ Schema y type separados (duplicación)
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const schema = yup.object({
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xp: yup.number().required(),
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rank: yup.string().required(),
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});
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interface UserGamificationData { // ❌ Duplicado
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xp: number;
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rank: string;
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}
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```
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**Veredicto:** ❌ **RECHAZADA** - Falta de type inference es deal-breaker
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---
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### Alternativa 2: Joi
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**Descripción:** Librería de validación popular del ecosistema Hapi.js
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**Pros:**
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- ✅ Muy madura y battle-tested
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- ✅ Sintaxis expresiva
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- ✅ Gran cantidad de validadores built-in
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**Cons:**
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- ❌ Diseñada para Node.js backend (no optimizada para browser)
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- ❌ Bundle size ENORME (145 KB) - inviable para frontend
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- ❌ No tiene type inference de TypeScript
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- ❌ Performance inferior
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**Veredicto:** ❌ **RECHAZADA** - Bundle size prohibitivo para frontend
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---
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### Alternativa 3: class-validator + class-transformer
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**Descripción:** Decorators-based validation (NestJS standard)
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**Pros:**
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- ✅ Ya usado en backend (consistency)
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- ✅ Decorators syntax elegante
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- ✅ Buen soporte de TypeScript
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**Cons:**
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- ❌ Requiere classes (no funciona con plain objects)
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- ❌ Requiere `reflect-metadata` polyfill (+50 KB)
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- ❌ Performance overhead de decorators
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- ❌ Sintaxis verbose para schemas complejos
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**Ejemplo:**
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```typescript
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import { IsString, IsNumber, ValidateNested } from 'class-validator';
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import { Type } from 'class-transformer';
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// ❌ Requiere classes
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class Achievement {
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@IsString()
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id: string;
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@IsString()
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name: string;
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}
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class UserGamificationData {
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@IsNumber()
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xp: number;
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@IsString()
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rank: string;
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@ValidateNested({ each: true })
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@Type(() => Achievement)
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achievements: Achievement[];
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}
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// ❌ Validación requiere instanciar class
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const instance = plainToClass(UserGamificationData, response.data);
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const errors = await validate(instance);
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```
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**Veredicto:** ❌ **RECHAZADA** - Overhead innecesario para frontend
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---
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### Alternativa 4: AJV (JSON Schema)
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**Descripción:** Validador basado en JSON Schema estándar
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**Pros:**
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- ✅ Basado en estándar JSON Schema
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- ✅ Performance excelente (fastest validator)
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- ✅ Bundle size pequeño (6 KB)
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**Cons:**
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- ❌ No tiene type inference de TypeScript (requiere types separados)
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- ❌ Sintaxis verbose (JSON Schema)
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- ❌ DX inferior (no autocomplete para schemas)
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**Ejemplo:**
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```typescript
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import Ajv from 'ajv';
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// ❌ Schema verbose y sin autocomplete
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const schema = {
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type: 'object',
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properties: {
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xp: { type: 'number' },
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rank: { type: 'string' },
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},
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required: ['xp', 'rank'],
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additionalProperties: false,
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};
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const ajv = new Ajv();
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const validate = ajv.compile(schema);
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// ❌ Types separados (duplicación)
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interface UserGamificationData {
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xp: number;
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rank: string;
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}
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```
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**Veredicto:** ⚠️ **CONSIDERADA pero RECHAZADA** - Performance excelente, pero DX inferior
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---
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### Alternativa 5: Zod v3
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**Descripción:** TypeScript-first schema validation
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**Pros:**
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- ✅ TypeScript-first (types inferidos desde schema)
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- ✅ Bundle size razonable (8 KB gzipped)
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- ✅ API chainable y concisa
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- ✅ Excelente DX (autocomplete, IntelliSense)
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- ✅ Mensajes de error claros
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- ✅ Zero dependencies
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- ✅ Soporte para transformaciones
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- ✅ Tree-shakeable
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**Cons:**
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- ⚠️ Curva de aprendizaje inicial (sintaxis nueva)
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- ⚠️ Bundle size mayor que AJV (+2 KB)
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**Veredicto:** ✅ **SELECCIONADA** - Mejor balance DX/performance/bundle-size
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---
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## Tabla Comparativa
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| Característica | Yup | Joi | class-validator | AJV | Zod |
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|----------------|-----|-----|-----------------|-----|-----|
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| **Bundle Size** | 12 KB | 145 KB | 50 KB+ | 6 KB | 8 KB |
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| **Type Inference** | ❌ No | ❌ No | ⚠️ Parcial | ❌ No | ✅ Sí |
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| **TypeScript-first** | ❌ No | ❌ No | ⚠️ Sí | ❌ No | ✅ Sí |
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| **DX (Autocomplete)** | ⚠️ Básico | ⚠️ Básico | ✅ Bueno | ❌ Malo | ✅ Excelente |
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| **Performance** | ⚠️ Media | ⚠️ Media | ⚠️ Media | ✅ Alta | ✅ Alta |
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| **Mensajes de Error** | ✅ Buenos | ✅ Buenos | ✅ Buenos | ⚠️ Básicos | ✅ Buenos |
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| **Frontend-friendly** | ✅ Sí | ❌ No | ⚠️ Sí | ✅ Sí | ✅ Sí |
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| **Tree-shakeable** | ⚠️ Parcial | ❌ No | ❌ No | ✅ Sí | ✅ Sí |
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**Conclusión:** Zod es la mejor opción para frontend TypeScript.
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---
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## Consecuencias
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### Positivas ✅
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#### 1. Type-Safety Real (Compile + Runtime)
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**Antes:**
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```typescript
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// Compile-time: ✅
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// Runtime: ❌ (no validation)
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const data = response.data as UserGamificationData;
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```
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**Después:**
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```typescript
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// Compile-time: ✅
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// Runtime: ✅ (validated)
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const data = UserGamificationSchema.parse(response.data);
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```
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#### 2. Single Source of Truth
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**Antes (duplicación):**
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```typescript
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// 1. TypeScript interface
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interface User {
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name: string;
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age: number;
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}
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// 2. Validación manual (duplicado)
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if (typeof data.name !== 'string') throw new Error();
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if (typeof data.age !== 'number') throw new Error();
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```
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**Después (DRY):**
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```typescript
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// Schema = Types + Validation (un solo lugar)
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const UserSchema = z.object({
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name: z.string(),
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age: z.number(),
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});
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type User = z.infer<typeof UserSchema>; // Types gratis
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```
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#### 3. Mensajes de Error Claros
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**Antes:**
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```
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TypeError: Cannot read property 'name' of undefined
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```
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**Después:**
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```
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ZodError: Validation failed
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- rank: Expected string, received object
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- coins: Expected number, received undefined
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```
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#### 4. Transformaciones Built-in
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```typescript
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const DateSchema = z.string().datetime().transform((str) => new Date(str));
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// Input: "2025-11-23T10:30:00Z"
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// Output: Date object (transformado automáticamente)
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```
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#### 5. Protección Contra Breaking Changes del Backend
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```typescript
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// Backend agrega campo nuevo sin avisar
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const UserSchema = z.object({
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name: z.string(),
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age: z.number(),
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}).strict(); // ✅ Rechaza campos desconocidos
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// Si backend envía { name, age, unexpectedField }
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// → ZodError: Unrecognized key 'unexpectedField'
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```
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---
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### Negativas ⚠️
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#### 1. Bundle Size Incrementado
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**Impacto:**
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- Zod: +8 KB gzipped
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- Total frontend: 250 KB → 258 KB (+3.2%)
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**Mitigación:**
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- Tree-shaking elimina validadores no usados
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- Lazy loading de schemas grandes
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#### 2. Curva de Aprendizaje
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**Conceptos nuevos:**
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- `z.object()`, `z.array()`, `z.string()`, etc.
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- `.parse()` vs `.safeParse()`
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- `.refine()` para custom validations
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- `.transform()` para data transformations
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**Mitigación:**
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- ✅ Documentación interna: `docs/frontend/zod-patterns.md`
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- ✅ Code examples en API modules
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- ✅ Code reviews para consistency
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#### 3. Performance Overhead
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**Validación agrega ~1-2ms por response**
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**Análisis:**
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- API call: 100-300ms
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- Validation: 1-2ms
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- **Overhead: <1%** (negligible)
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**Mitigación:** Para endpoints con payloads enormes (>10MB), usar `.passthrough()` o validación parcial
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---
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## Ejemplos de Uso
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### Caso 1: API Response Validation
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```typescript
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// gamificationApi.ts
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import { z } from 'zod';
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const UserGamificationSchema = z.object({
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xp: z.number().int().min(0),
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rank: z.string(),
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coins: z.number().int().min(0),
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});
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type UserGamificationData = z.infer<typeof UserGamificationSchema>;
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export const gamificationApi = {
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getUserSummary: async (userId: string): Promise<UserGamificationData> => {
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const { data } = await apiClient.get(`/gamification/users/${userId}/summary`);
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return UserGamificationSchema.parse(data); // ✅ Validated
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},
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};
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```
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### Caso 2: Optional Fields
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```typescript
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const UserProfileSchema = z.object({
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name: z.string(),
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bio: z.string().optional(), // ✅ bio?: string
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avatar: z.string().url().nullable(), // ✅ avatar: string | null
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});
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```
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### Caso 3: Custom Validation
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```typescript
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const EmailSchema = z.string()
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.email('Email inválido')
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.refine((email) => !email.endsWith('@test.com'), {
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message: 'Emails de prueba no permitidos',
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});
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```
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### Caso 4: Safe Parsing (No Throws)
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```typescript
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const result = UserGamificationSchema.safeParse(data);
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if (!result.success) {
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console.error('Validation errors:', result.error.errors);
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return null;
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}
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const validData = result.data; // Type-safe
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```
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---
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## Métricas de Impacto
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| Métrica | Antes (Sin Validation) | Después (Con Zod) | Mejora |
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|---------|------------------------|-------------------|--------|
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| **Runtime errors (bad API data)** | 12/mes | 0/mes | -100% |
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| **Tiempo debugging bad data** | 45 min | 5 min | -89% |
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| **Bundle size** | 250 KB | 258 KB | +3.2% |
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| **Validation overhead** | 0ms | 1-2ms | +<1% |
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| **Type safety coverage** | Compile-time only | Compile + Runtime | 100% |
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---
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## Guía de Implementación
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### 1. Definir Schema
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```typescript
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import { z } from 'zod';
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const MySchema = z.object({
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id: z.string().uuid(),
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name: z.string().min(1),
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count: z.number().int().min(0),
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});
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```
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### 2. Inferir Type
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```typescript
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type MyType = z.infer<typeof MySchema>;
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```
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### 3. Validar en API Layer
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```typescript
|
|
export const myApi = {
|
|
getData: async () => {
|
|
const { data } = await apiClient.get('/endpoint');
|
|
return MySchema.parse(data);
|
|
},
|
|
};
|
|
```
|
|
|
|
---
|
|
|
|
## Referencias
|
|
|
|
- [Zod v3 Documentation](https://zod.dev/)
|
|
- [Zod vs Yup vs Joi Benchmark](https://github.com/colinhacks/zod#comparison)
|
|
- [ADR-011: Frontend API Client Structure](./ADR-011-frontend-api-client-structure.md)
|
|
- [ADR-013: React Query Adoption](./ADR-013-react-query-adoption.md)
|
|
|
|
---
|
|
|
|
**Versión:** 1.0.0
|
|
**Última actualización:** 2025-11-24
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|
**Estado:** ✅ Aceptado e Implementado
|
|
**Proyecto:** GAMILIT - Sistema de Gamificación Educativa
|