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de validação simples, leve e agnóstica com NotificationPattern e ResultPattern para respostas padronizadas","maintainers":[{"name":"felipe.dev","email":"felcarvalho54321@gmail.com"}],"readme":"# schemaValidation v2.3.3\n\nBiblioteca de validação simples, leve e agnóstica com **NotificationPattern** e **ResultPattern** para respostas padronizadas.\n\n---\n\n## Sumário\n\n- [Por que usar?](#por-que-usar)\n- [Modelo Mental](#modelo-mental)\n- [Quick Start](#quick-start)\n- [Conceitos Fundamentais](#conceitos-fundamentais)\n- [Guias Práticos](#guias-práticos)\n - [Validar objetos aninhados](#validar-objetos-aninhados)\n - [Validar com chamadas assíncronas](#validar-com-chamadas-assíncronas)\n - [Validar arrays](#validar-arrays)\n - [Criar regras reutilizáveis](#criar-regras-reutilizáveis)\n - [Transformar dados antes de validar](#transformar-dados-antes-de-validar)\n - [Validar condicionalmente](#validar-condicionalmente)\n - [Parar no primeiro erro](#parar-no-primeiro-erro)\n - [Combinar transform + condition + abortEarly](#combinar-transform--condition--abortearly)\n - [Retry com backoff em validações](#retry-com-backoff-em-validações)\n - [Criar padrões customizados](#criar-padrões-customizados)\n - [Integrar com APIs REST](#integrar-com-apis-rest)\n - [Passar contexto para as regras](#passar-contexto-para-as-regras)\n - [Filtrar regras por groups, pick e omit](#filtrar-regras-por-groups-pick-e-omit)\n- [API Reference](#api-reference)\n- [Funcionalidades](#funcionalidades)\n- [Licença](#licença)\n\n---\n\n## Por que usar?\n\nValidar dados é uma das tarefas mais comuns em qualquer aplicação. A maioria das bibliotecas de validação ou é acoplada a um framework, ou força um schema declarativo com DSL própria, ou é pesada em dependências.\n\nO **schemaValidation** adota uma abordagem diferente:\n\n| Característica | schemaValidation | Outras libs |\n| ---------------- | ------------------------------- | ------------------------------------------ |\n| **Dependências** | Zero | Zod (~10), Joi (~15), class-validator (~5) |\n| **Estilo** | Regras como funções puras | DSL declarativa / decorators |\n| **Acoplamento** | Agnóstico (qualquer objeto) | Muitas vezes acoplado a framework |\n| **Padrões** | Notification + Result + Command | Apenas validação |\n| **Tamanho** | ~174 linhas de código | Milhares de linhas |\n\n**Ideal para:**\n\n- APIs REST que precisam de respostas estruturadas com lista de erros\n- Validação de formulários, payloads, DTOs\n- Projetos que valorizam zero dependências\n- Quem prefere código imperativo/explícito a DSLs mágicas\n\n**Talvez não seja ideal se:**\n\n- Você precisa de type narrowing por schema (type inference da forma dos dados) — use Zod\n- Você precisa de parsing + validação em cadeia — use Zod\n\n---\n\n## Modelo Mental\n\nA biblioteca implementa três padrões de design que trabalham juntos:\n\n```\n┌─────────────────────────────────────────────────────────────┐\n│ SchemaValidator │\n│ │\n│ execute(data, context, options?) ───────────────────────► │\n│ │\n│ Schema (Rule[]) │\n│ ┌─────────┐ ┌─────────┐ ┌─────────┐ │\n│ │ Rule 1 │──►│ Rule 2 │──►│ Rule 3 │──► ... │\n│ │ │ │ │ │ │ │\n│ │ 1. transform (opcional) │\n│ │ 2. condition (opcional) │\n│ │ 3. runValidate │\n│ └────┬────┘ └────┬────┘ └────┬────┘ │\n│ │ │ │ │\n│ ▼ ▼ ▼ │\n│ ┌────────────────────────────────────┐ │\n│ │ NotificationPattern[] │ │\n│ │ { key, error, description, ... } │ │\n│ └───────────────┬────────────────────┘ │\n│ ▼ │\n│ ┌────────────────────────────────────┐ │\n│ │ ResultPattern │ │\n│ │ { success, notification[], data } │ │\n│ └────────────────────────────────────┘ │\n└─────────────────────────────────────────────────────────────┘\n```\n\n### Os três padrões\n\n**Command Pattern** — `SchemaValidator` implementa `Command`. Você instancia com um schema e chama `execute(data, context, options?)`. O terceiro parâmetro aceita `{ groups?, pick?, omit? }` para filtrar quais regras serão executadas. O validator encapsula toda a lógica de execução.\n\n**Notification Pattern** — Cada falha de validação gera uma `Notification` com `key` (campo), `error` (mensagem) e `description` (detalhe opcional). Todas as notificações são coletadas em um array.\n\n**Result Pattern** — O resultado final é um objeto com `success` (booleano), `notification` (array de notificações) e `data` (dados originais/transformados).\n\n### Ordem de execução dentro de cada Rule\n\n```\npara cada rule:\n 1. transform(data, context) → modifica os dados (encadeado entre regras)\n 2. condition(data, context) → se false, pula a regra\n 3. runValidate(data, context) → executa a validação\n 4. se inválido → notificationMappers → adiciona ao array\n ── se algum passo acima lançar erro ──\n 5. retry (opcional) → loop com backoff (ver seção \"Retry\")\n```\n\n---\n\n## Quick Start\n\n### Instalação\n\n```bash\nnpm install @felipe-lib/schema-local\n```\n\n### Sua primeira validação\n\n```typescript\nimport { SchemaValidator } from \"@felipe-lib/schema-local\";\n\ninterface User {\n name: string;\n email: string;\n}\n\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"name\",\n error: () => \"Nome é obrigatório\",\n runValidate: (data) => data.name.trim().length > 0,\n },\n {\n key: \"email\",\n error: () => \"Email inválido\",\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n ],\n});\n\nconst result = await validator.execute({\n name: \"João\",\n email: \"joao@email.com\",\n});\n\nconsole.log(result.success); // true\nconsole.log(result.notification); // []\nconsole.log(result.data); // { name: \"João\", email: \"joao@email.com\" }\n```\n\n**O que aconteceu aqui?**\n\n1. Criamos uma interface `User` com os campos a validar.\n2. Instanciamos `SchemaValidator` passando um `schema` — array de regras.\n3. Cada regra tem `key` (nome do campo), `error` (mensagem de erro) e `runValidate` (função que retorna `true` se válido).\n4. Chamamos `execute(data)` e recebemos um `ResultPattern` com `success`, `notification` e `data`.\n5. Como o nome e o email eram válidos, `success` é `true` e `notification` está vazio.\n\n> **Nota:** Os mappers são opcionais — a biblioteca já fornece defaults que geram o `NotificationPattern` e `ResultPattern` padrão. Você só precisa customizá-los se quiser formatos diferentes (ex: resposta de API HTTP).\n\n### Adicionando mais regras\n\n```typescript\ninterface User {\n name: string;\n email: string;\n age: number;\n}\n\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"name\",\n error: () => \"Nome é obrigatório\",\n runValidate: (data) => data.name.trim().length > 0,\n },\n {\n key: \"email\",\n error: () => \"Email inválido\",\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n {\n key: \"age\",\n error: () => \"Idade deve ser maior que 0\",\n description: () => \"Verifica se a idade é positiva\",\n runValidate: (data) => data.age > 0,\n },\n ],\n});\n```\n\n### Lendo erros\n\n```typescript\nconst result = await validator.execute({\n name: \"\",\n email: \"invalido\",\n age: -5,\n});\n\nif (!result.success) {\n for (const err of result.notification) {\n console.log(`${String(err.key)}: ${err.error}`);\n }\n}\n// name: Nome é obrigatório\n// email: Email inválido\n// age: Idade deve ser maior que 0\n```\n\nPor padrão, **todas as regras são executadas** e **todos os erros são coletados** — você recebe uma lista completa do que está errado, não apenas o primeiro erro.\n\n---\n\n## Conceitos Fundamentais\n\n### Anatomia de uma Rule\n\n```typescript\ninterface Rule {\n key: keyof T; // campo que está sendo validado\n error: (data: T, context?: C) => string; // mensagem de erro (pode ser dinâmica)\n groups?: string[]; // grupos para filtrar execução (ver seção \"Filtrar regras\")\n retry?: RetryType; // config de retry com backoff (ver seção \"Retry\")\n transform?: (data: T, context?: C) => T | Promise; // transforma dados antes da validação\n condition?: (data: T, context?: C) => boolean | Promise; // se false, regra é ignorada\n runValidate(data: T, context?: C): boolean | Promise; // lógica da validação\n description?: (data: T, context?: C) => string; // descrição opcional (pode ser dinâmica)\n}\n```\n\nTodos os callbacks (`transform`, `condition`, `runValidate`, `error`, `description`) suportam tanto execução **síncrona** quanto **assíncrona** (retornando `Promise`). Todos recebem `(data, context)` — permitindo passar dependências externas como conexão de banco, request object, etc.\n\n### RetryType\n\nConfigura o loop de retry com backoff quando `transform`, `condition` ou `runValidate` lançarem um erro:\n\n```typescript\ninterface RetryType {\n active: boolean; // liga/desliga o retry\n maxAttemps: number; // delay inicial em ms (ex: 2000)\n multiply?: number; // multiplicador de backoff (ex: 2 → 2s, 4s, 8s)\n maxRetries: number; // número máximo de tentativas\n}\n```\n\n**Comportamento:** se `active` for `true` e qualquer etapa da pipeline lançar erro, o validador:\n1. Aguarda `maxAttemps` ms\n2. Restaura os dados ao estado original\n3. Reexecuta `transform` → `condition` → `runValidate`\n4. Se `condition` retornar `false` → break (regra ignorada com sucesso)\n5. Se `runValidate` retornar `true` → break (sucesso)\n6. Senão → multiplica o timeout (`timeout *= multiply`) e tenta novamente\n7. Após `maxRetries` tentativas sem sucesso, o loop termina e uma única notificação de erro é gerada\n\n### NotificationPattern\n\nEstrutura padronizada de notificação de erro:\n\n```typescript\ninterface NotificationPattern {\n success: boolean; // sempre false para notificações de erro\n key: string | number | symbol; // campo que falhou\n error: string; // mensagem de erro\n description?: string; // detalhamento opcional\n}\n```\n\n### ResultPattern\\\n\nEstrutura padronizada do resultado:\n\n```typescript\ninterface ResultPattern {\n success: boolean; // true se nenhum erro\n notification: NotificationPattern[]; // array de erros encontrados\n data: T; // dados originais ou transformados\n}\n```\n\n### Mappers Customizados\n\nOs mappers traduzem a regra e os dados para os formatos de notificação e resultado. Use-os quando precisar de estruturas diferentes da padrão:\n\n```typescript\n// Mapper de notificação — transforma Rule + data + context em NotificationPattern\nnotificationMappers: (rule, data, context?) => ({\n success: false,\n key: rule.key,\n error: rule.error(data, context),\n description: rule.description?.(data, context),\n});\n\n// Mapper de resultado — transforma data + notificações em ResultPattern\nresultMappers: (data, notif) => ({\n data,\n notification: notif,\n success: notif.length === 0,\n});\n```\n\nSe você **não fornecer mappers**, a biblioteca usa os defaults — que produzem exatamente as estruturas acima. Forneça mappers customizados apenas quando seu `NotificationPattern` ou `ResultPattern` tiverem campos extras.\n\n### Command\\\n\nInterface que `SchemaValidator` implementa:\n\n```typescript\ninterface Command<\n T extends object,\n R extends object,\n C extends object = {},\n> {\n execute(data: T, context?: C, options?: OptionsCommand): Promise;\n}\n```\n\nIsso permite tratar qualquer validador como um comando executável, facilitando integração com padrões como **Command Bus**, **Mediator** ou **Use Case**.\n\n---\n\n## Guias Práticos\n\n### Validar objetos aninhados\n\nComponha validators: crie um validador para o objeto interno e chame-o dentro da regra do objeto externo.\n\n```typescript\ninterface Address {\n street: string;\n zipCode: string;\n}\n\ninterface User {\n name: string;\n address: Address;\n}\n\nconst addressValidator = new SchemaValidator
({\n schema: [\n {\n key: \"street\",\n error: () => \"Rua é obrigatória\",\n runValidate: (data) => data.street.length > 0,\n },\n {\n key: \"zipCode\",\n error: () => \"CEP inválido\",\n runValidate: (data) => /^\\d{5}-\\d{3}$/.test(data.zipCode),\n },\n ],\n});\n\nconst userValidator = new SchemaValidator({\n schema: [\n {\n key: \"name\",\n error: () => \"Nome é obrigatório\",\n runValidate: (data) => data.name.trim().length > 0,\n },\n {\n key: \"address\",\n error: (data) => \"Endereço inválido\",\n runValidate: async (data) => {\n const result = await addressValidator.execute(data.address);\n return result.success;\n },\n },\n ],\n});\n```\n\n### Validar com chamadas assíncronas\n\n`runValidate` aceita funções assíncronas — ideal para verificar existência no banco, chamadas de API, etc.\n\n```typescript\ninterface LoginData {\n email: string;\n password: string;\n}\n\nconst loginValidator = new SchemaValidator({\n schema: [\n {\n key: \"email\",\n error: () => \"Email é obrigatório\",\n runValidate: (data) => !!data.email,\n },\n {\n key: \"password\",\n error: () => \"Senha deve ter pelo menos 8 caracteres\",\n runValidate: (data) => data.password.length >= 8,\n },\n {\n key: \"email\",\n error: () => \"Usuário não encontrado\",\n description: () => \"Verifica se o email existe na base\",\n runValidate: async (data) => {\n const response = await fetch(\"/api/verify-user\", {\n method: \"POST\",\n body: JSON.stringify({ email: data.email }),\n });\n return response.ok;\n },\n },\n ],\n});\n```\n\n### Validar arrays\n\nUse métodos como `every()`, `some()` ou `filter()` para validar cada item do array.\n\n```typescript\ninterface Product {\n name: string;\n price: number;\n}\n\ninterface Order {\n items: Product[];\n}\n\nconst orderValidator = new SchemaValidator({\n schema: [\n {\n key: \"items\",\n error: () => \"Pedido vazio\",\n runValidate: (data) => data.items.length > 0,\n },\n {\n key: \"items\",\n error: () => \"Produto sem nome\",\n runValidate: (data) =>\n data.items.every((item) => item.name.trim().length > 0),\n },\n {\n key: \"items\",\n error: () => \"Preço inválido\",\n runValidate: (data) => data.items.every((item) => item.price > 0),\n },\n ],\n});\n```\n\n### Criar regras reutilizáveis\n\nEncapsule regras comuns em **factory functions** para evitar repetição.\n\n```typescript\ninterface User {\n username: string;\n email: string;\n password: string;\n confirmPassword: string;\n}\n\nconst isRequired = (field: keyof User, error: string) => ({\n key: field,\n error: () => error,\n description: () => `Verifica se ${String(field)} foi fornecido`,\n runValidate: (data: User) => {\n const value = data[field];\n return typeof value === \"string\" ? value.trim().length > 0 : !!value;\n },\n});\n\nconst isEmail = (error: string) => ({\n key: \"email\" as const,\n error: () => error,\n description: () => \"Valida formato do email\",\n runValidate: (data: User) => /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n});\n\nconst minLength = (field: keyof User, min: number, error: string) => ({\n key: field,\n error: () => error,\n description: () => `Mínimo de ${min} caracteres`,\n runValidate: (data: User) => {\n const value = data[field];\n return typeof value === \"string\" ? value.length >= min : false;\n },\n});\n\nconst passwordsMatch = {\n key: \"confirmPassword\" as const,\n error: () => \"Senhas não conferem\",\n description: () => \"Confirmação deve ser igual à senha\",\n runValidate: (data: User) => data.password === data.confirmPassword,\n};\n\nconst validator = new SchemaValidator({\n schema: [\n isRequired(\"username\", \"Nome de usuário é obrigatório\"),\n isEmail(\"Email inválido\"),\n minLength(\"password\", 8, \"Senha deve ter pelo menos 8 caracteres\"),\n passwordsMatch,\n ],\n});\n```\n\n### Transformar dados antes de validar\n\nO campo `transform` modifica os dados antes da validação. O resultado é **encadeado** entre regras — cada regra recebe os dados já transformados pelas anteriores.\n\n```typescript\ninterface User {\n name: string;\n email: string;\n}\n\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"name\",\n error: () => \"Nome é obrigatório\",\n transform: (data) => ({ ...data, name: data.name.trim() }),\n runValidate: (data) => data.name.length > 0,\n },\n {\n key: \"email\",\n error: () => \"Email inválido\",\n transform: (data) => ({\n ...data,\n email: data.email.toLowerCase().trim(),\n }),\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n ],\n});\n\nconst result = await validator.execute({\n name: \" João \",\n email: \" JOAO@EMAIL.COM \",\n});\n\nconsole.log(result.data.name); // \"João\"\nconsole.log(result.data.email); // \"joao@email.com\"\n```\n\n**Transform assíncrono:**\n\n```typescript\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"email\",\n error: () => \"Email já cadastrado\",\n transform: async (data) => {\n const normalized = data.email.toLowerCase().trim();\n return { ...data, email: normalized };\n },\n runValidate: async (data) => {\n const response = await fetch(\n `/api/check-email?email=${data.email}`,\n );\n const { exists } = await response.json();\n return !exists;\n },\n },\n ],\n});\n```\n\n### Validar condicionalmente\n\nO campo `condition` determina se a regra deve ser executada. Se a condição retornar `false`, a regra é ignorada.\n\n```typescript\ninterface FormData {\n type: \"individual\" | \"company\";\n cpf: string;\n cnpj: string;\n companyName: string;\n}\n\nconst formValidator = new SchemaValidator({\n schema: [\n {\n key: \"type\",\n error: () => \"Tipo inválido\",\n runValidate: (data) =>\n [\"individual\", \"company\"].includes(data.type),\n },\n {\n key: \"cpf\",\n error: () => \"CPF inválido\",\n condition: (data) => data.type === \"individual\",\n runValidate: (data) => /^\\d{11}$/.test(data.cpf),\n },\n {\n key: \"cnpj\",\n error: () => \"CNPJ inválido\",\n condition: (data) => data.type === \"company\",\n runValidate: (data) => /^\\d{14}$/.test(data.cnpj),\n },\n {\n key: \"companyName\",\n error: () => \"Razão social obrigatória\",\n condition: (data) => data.type === \"company\",\n runValidate: (data) => data.companyName.length > 0,\n },\n ],\n});\n```\n\n**Condition assíncrona:**\n\n```typescript\ninterface ProductForm {\n categoryId: string;\n discount: number;\n}\n\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"discount\",\n error: () => \"Desconto inválido\",\n condition: async (data) => {\n const response = await fetch(\n `/api/categories/${data.categoryId}`,\n );\n const category = await response.json();\n return category.allowDiscount;\n },\n runValidate: (data) => data.discount >= 0 && data.discount <= 100,\n },\n ],\n});\n```\n\n### Parar no primeiro erro\n\nCom `abortEarly: true`, a validação é interrompida assim que o primeiro erro é encontrado.\n\n```typescript\ninterface LoginData {\n email: string;\n password: string;\n}\n\nconst loginValidator = new SchemaValidator({\n schema: [\n {\n key: \"email\",\n error: () => \"Email é obrigatório\",\n runValidate: (data) => data.email.trim().length > 0,\n },\n {\n key: \"email\",\n error: () => \"Email inválido\",\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n {\n key: \"password\",\n error: () => \"Senha é obrigatória\",\n runValidate: (data) => data.password.length > 0,\n },\n {\n key: \"password\",\n error: () => \"Mínimo de 8 caracteres\",\n runValidate: (data) => data.password.length >= 8,\n },\n ],\n abortEarly: true,\n});\n\nconst result = await loginValidator.execute({\n email: \"\",\n password: \"123\",\n});\n\nconsole.log(result.notification.length); // 1 — apenas o primeiro erro\n```\n\n### Combinar transform + condition + abortEarly\n\nAs funcionalidades podem ser combinadas livremente. A ordem de execução dentro de cada regra segue o pipeline: **transform → condition → runValidate**.\n\n```typescript\ninterface OrderData {\n total: number;\n couponCode: string;\n finalTotal: number;\n}\n\nconst orderValidator = new SchemaValidator({\n schema: [\n {\n key: \"total\",\n error: () => \"Total deve ser positivo\",\n runValidate: (data) => data.total > 0,\n },\n {\n key: \"couponCode\",\n error: () => \"Cupom inválido\",\n condition: (data) => data.couponCode.length > 0,\n transform: async (data) => {\n const response = await fetch(`/api/coupons/${data.couponCode}`);\n const coupon = await response.json();\n return {\n ...data,\n finalTotal: data.total * (1 - coupon.discount / 100),\n };\n },\n runValidate: async (data) => {\n const response = await fetch(`/api/coupons/${data.couponCode}`);\n return response.ok;\n },\n },\n ],\n abortEarly: true,\n});\n\nconst result = await orderValidator.execute({\n total: 200,\n couponCode: \"BLACK20\",\n finalTotal: 0,\n});\n\nconsole.log(result.data.finalTotal); // 160 (200 - 20%)\n```\n\n### Retry com backoff em validações\n\nSe `transform`, `condition` ou `runValidate` lançarem um erro (ex: falha de rede, timeout), você pode configurar um **loop de retry** com backoff exponencial usando o campo `retry`.\n\n```typescript\ninterface PaymentData {\n transactionId: string;\n amount: number;\n}\n\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"transactionId\",\n error: () => \"Falha na confirmação do pagamento\",\n runValidate: async (data) => {\n const response = await fetch(\n `/api/transactions/${data.transactionId}`,\n );\n return response.ok;\n },\n retry: {\n active: true,\n maxRetries: 3,\n maxAttemps: 1000,\n multiply: 2,\n },\n },\n ],\n});\n```\n\n**Como funciona:**\n\n1. Se `transform`, `condition` ou `runValidate` lançarem erro, o validador entra no loop de retry\n2. Cada tentativa espera `maxAttemps` ms (com backoff multiplicativo se `multiply` estiver definido)\n3. A cada retry os dados são restaurados ao estado original e toda pipeline é reexecutada\n4. Se `condition` retornar `false` → a regra é ignorada (break silencioso)\n5. Se `runValidate` retornar `true` → sucesso, sai do loop\n6. Se todas as tentativas falharem → uma única notificação de erro é gerada\n\n**Exemplo com backoff:** `maxAttemps: 1000, multiply: 2, maxRetries: 3`\n\n```\n1ª tentativa: falhou → espera 1s\n2ª tentativa: falhou → espera 2s\n3ª tentativa: falhou → espera 4s → notificação final\n```\n\n### Criar padrões customizados\n\nQuando os mappers padrão não bastam, você pode estender `NotificationPattern` e `ResultPattern` com campos específicos do seu domínio.\n\n**Notification customizado com tipo de erro:**\n\n```typescript\ninterface CustomNotification {\n success: boolean;\n key: string | number | symbol;\n error: string;\n field: string;\n message: string;\n type: \"error\" | \"warning\";\n}\n\ninterface CustomResult {\n success: boolean;\n notification: CustomNotification[];\n isValid: boolean;\n errors: CustomNotification[];\n data: T;\n}\n\ninterface User {\n name: string;\n email: string;\n}\n\nconst validator = new SchemaValidator<\n User,\n CustomNotification,\n CustomResult\n>({\n schema: [\n {\n key: \"email\",\n error: () => \"Email inválido\",\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n ],\n notificationMappers: (rule, data) => ({\n success: false,\n key: rule.key,\n error: rule.error(data),\n field: String(rule.key),\n message: rule.error(data),\n type: \"error\" as const,\n }),\n resultMappers: (data, notif) => ({\n success: notif.length === 0,\n notification: notif,\n isValid: notif.length === 0,\n errors: notif,\n data,\n }),\n});\n\nconst result = await validator.execute({\n name: \"João\",\n email: \"invalido\",\n});\n\nconsole.log(result.isValid); // false\nconsole.log(result.errors[0].field); // \"email\"\nconsole.log(result.errors[0].type); // \"error\"\n```\n\n### Integrar com APIs REST\n\nUse mappers customizados para gerar respostas no formato que sua API espera.\n\n```typescript\ninterface ApiResponse {\n status: number;\n message: string;\n payload?: T;\n errors: { field: string; reason: string }[];\n}\n\ninterface ApiNotification {\n success: boolean;\n key: string | number | symbol;\n error: string;\n field: string;\n message: string;\n}\n\ninterface User {\n name: string;\n email: string;\n}\n\nconst apiValidator = new SchemaValidator<\n User,\n ApiNotification,\n ApiResponse\n>({\n schema: [\n {\n key: \"name\",\n error: () => \"Nome é obrigatório\",\n runValidate: (data) => data.name.trim().length > 0,\n },\n {\n key: \"email\",\n error: () => \"Email inválido\",\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n ],\n notificationMappers: (rule, data) => ({\n success: false,\n key: rule.key,\n error: rule.error(data),\n field: String(rule.key),\n message: rule.error(data),\n }),\n resultMappers: (data, notif) => ({\n success: notif.length === 0,\n notification: notif as NotificationPattern[],\n data,\n status: notif.length === 0 ? 200 : 400,\n message: notif.length === 0 ? \"OK\" : \"Erro de validação\",\n payload: notif.length === 0 ? data : undefined,\n errors: notif.map((n) => ({\n field: n.field,\n reason: n.message,\n })),\n }),\n});\n\nconst result = await apiValidator.execute({\n name: \"João\",\n email: \"joao@email.com\",\n});\n\n// result.status === 200\n// result.errors === []\n// Uso em um controller Express/Fastify:\n// res.status(result.status).json(result);\n```\n\n---\n\n### Passar contexto para as regras\n\nO parâmetro genérico `C` permite passar um objeto de contexto (`context`) que fica disponível em todos os callbacks das regras. Isso é útil para injetar dependências como conexão de banco, objetos de request, ou qualquer dado externo.\n\n```typescript\ninterface DatabaseCtx {\n db: DatabaseConnection;\n userId: string;\n}\n\ninterface User {\n email: string;\n}\n\nconst validator = new SchemaValidator<\n User,\n NotificationPattern,\n ResultPattern,\n DatabaseCtx\n>({\n schema: [\n {\n key: \"email\",\n error: (data, ctx) =>\n `Email já cadastrado para o usuário ${ctx.userId}`,\n description: (data, ctx) =>\n `Verifica unicidade do email no tenant ${ctx.userId}`,\n runValidate: async (data, ctx) => {\n const exists = await ctx.db.findByEmail(data.email);\n return !exists;\n },\n },\n ],\n});\n\nconst db = await connectToDatabase();\nconst result = await validator.execute(\n { email: \"teste@email.com\" },\n { db, userId: \"usr_123\" },\n);\n```\n\nPor padrão, `C = {}` — se você não passa contexto, o TypeScript não exige o segundo argumento no `execute()` e os callbacks recebem `{}` como `context`.\n\n---\n\n### Filtrar regras por groups, pick e omit\n\nO terceiro parâmetro do `execute` permite filtrar quais regras serão executadas sem modificar o schema original.\n\n**groups:** execute apenas regras que pertençam a determinados grupos.\n\n```typescript\ninterface User {\n name: string;\n email: string;\n password: string;\n}\n\nconst validator = new SchemaValidator({\n schema: [\n {\n key: \"name\",\n error: () => \"Nome é obrigatório\",\n groups: [\"create\", \"update\"],\n runValidate: (data) => data.name.trim().length > 0,\n },\n {\n key: \"email\",\n error: () => \"Email inválido\",\n groups: [\"create\", \"update\"],\n runValidate: (data) =>\n /^[^\\s@]+@[^\\s@]+\\.[^\\s@]+$/.test(data.email),\n },\n {\n key: \"password\",\n error: () => \"Mínimo de 8 caracteres\",\n groups: [\"create\"],\n runValidate: (data) => data.password.length >= 8,\n },\n ],\n});\n\n// Apenas regras do grupo \"create\"\nconst result = await validator.execute(data, {}, { groups: [\"create\"] });\n```\n\n**pick:** execute apenas regras cujo `key` **ou** `groups` corresponda à lista.\n\n```typescript\n// Por campo\nconst result = await validator.execute(data, {}, { pick: [\"name\", \"email\"] });\n\n// Por grupo\nconst result = await validator.execute(data, {}, { pick: [\"admin\", \"audit\"] });\n```\n\n**omit:** execute todas as regras exceto as cujo `key` **ou** `groups` corresponda à lista.\n\n```typescript\n// Por campo\nconst result = await validator.execute(data, {}, { omit: [\"password\"] });\n\n// Por grupo\nconst result = await validator.execute(data, {}, { omit: [\"admin\"] });\n```\n\nRegras que **não possuem `groups`** são executadas independentemente do filtro de grupos. Os filtros podem ser combinados: `{ groups: [\"create\"], pick: [\"name\", \"email\"] }`. Tanto `pick` quanto `omit` verificam **simultaneamente** `rule.key` e `rule.groups` — se qualquer um dos dois corresponder, a regra é incluída (pick) ou excluída (omit).\n\n---\n\n## API Reference\n\n### `SchemaValidator`\n\nClasse principal. Implementa `Command`.\n\n| Parâmetro genérico | Default | Descrição |\n| ------------------------------- | --------------------- | --------------------------------------------------- |\n| `T extends object` | — | Tipo do objeto a ser validado |\n| `N extends NotificationPattern` | `NotificationPattern` | Tipo da notificação de erro |\n| `R extends ResultPattern` | `ResultPattern` | Tipo do resultado |\n| `C extends object` | `{}` | Contexto passado para todos os callbacks das regras |\n\n**Construtor:**\n\n```typescript\nnew SchemaValidator({\n schema: Rule[];\n notificationMappers?: (rule: Rule, data: T, context?: C) => N;\n resultMappers?: (data: T, notif: N[]) => R;\n abortEarly?: boolean;\n})\n```\n\n| Opção | Obrigatório | Padrão | Descrição |\n| --------------------- | ----------- | ------------- | --------------------------------------- |\n| `schema` | Sim | — | Array de regras de validação |\n| `notificationMappers` | Não | mapper padrão | Customiza como notificações são geradas |\n| `resultMappers` | Não | mapper padrão | Customiza como o resultado é montado |\n| `abortEarly` | Não | `false` | Se `true`, para no primeiro erro |\n\n**Métodos:**\n\n| Método | Retorno | Descrição |\n| ----------------------------------------------------------- | ------------ | ------------------------------------------------------------- |\n| `execute(data: T, context?: C, options?: OptionsCommand)` | `Promise` | Executa as regras (com filtro opcional) e retorna o resultado |\n| `validation(data: T, context?: C, options?: OptionsCommand)` | `Promise` | Alias interno — mesmo comportamento de `execute` |\n\n### Tipos exportados\n\n```typescript\nimport type {\n NotificationPattern,\n ResultPattern,\n Rule,\n Command,\n OptionsCommand,\n RetryType,\n} from \"@felipe-lib/schema-local/types\";\n```\n\n#### `Rule`\n\n```typescript\ninterface Rule {\n key: keyof T;\n error: (data: T, context?: C) => string;\n groups?: string[];\n retry?: RetryType;\n transform?: (data: T, context?: C) => T | Promise;\n condition?: (data: T, context?: C) => boolean | Promise;\n runValidate(data: T, context?: C): boolean | Promise;\n description?: (data: T, context?: C) => string;\n}\n```\n\n#### `RetryType`\n\n```typescript\ninterface RetryType {\n active: boolean;\n maxAttemps: number;\n multiply?: number;\n maxRetries: number;\n}\n```\n\n#### `NotificationPattern`\n\n```typescript\ninterface NotificationPattern {\n success: boolean;\n key: string | number | symbol;\n error: string;\n description?: string;\n}\n```\n\n#### `ResultPattern`\n\n```typescript\ninterface ResultPattern {\n success: boolean;\n notification: NotificationPattern[];\n data: T;\n}\n```\n\n#### `Command`\n\n```typescript\ninterface Command<\n T extends object,\n R extends object,\n C extends object = {},\n> {\n execute(data: T, context?: C, options?: OptionsCommand): Promise;\n}\n\ninterface OptionsCommand {\n groups?: string[];\n pick?: string[];\n omit?: string[];\n}\n```\n\n---\n\n## Funcionalidades\n\n- **Zero dependências** — não requer bibliotecas externas\n- **NotificationPattern** — notificações de erro padronizadas\n- **ResultPattern** — resultado padronizado com `success`, `notification[]` e `data`\n- **Mappers customizáveis** — personalize os formatos de notificação e resultado\n- **Suporte sync/async** — todos os callbacks aceitam funções síncronas e assíncronas\n- **`transform`** — modifique os dados antes da validação (encadeado entre regras)\n- **`condition`** — execute regras apenas quando uma condição for atendida\n- **`abortEarly`** — interrompa no primeiro erro\n- **`retry`** — backoff automático com repetição em caso de falha\n- **Validação contínua** — execute todas as regras e colete todos os erros (padrão)\n- **Totalmente tipado** — TypeScript nativo com genéricos\n- **Command Pattern** — interface `Command` para integração com Command Bus / Mediator\n- **Filtro por `groups`, `pick` e `omit`** — execute apenas regras específicas sem modificar o schema\n- **Agnóstico** — funciona com qualquer formato de objeto\n\n---\n\n## Licença\n\nMIT © Felca\n","readmeFilename":"README.md"}