typebox-legacy

安装依赖

npm

yarn

pnpm

bun

npm i drizzle-orm@rc @sinclair/typebox

yarn add drizzle-orm@rc @sinclair/typebox

pnpm add drizzle-orm@rc @sinclair/typebox

bun add drizzle-orm@rc @sinclair/typebox

选择 schema

定义从数据库中查询出的数据形状——可用于验证 API 响应。

import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core';
import { createSelectSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const users = sqliteTable('users', {
  id: integer().primaryKey({ autoIncrement: true }),
  name: text().notNull(),
  age: integer().notNull()
});

const userSelectSchema = createSelectSchema(users);

const rows = await db.select({ id: users.id, name: users.name }).from(users).limit(1);
const parsed: { id: number; name: string; age: number } = Value.Parse(userSelectSchema, rows[0]); // 错误：上面的查询未返回 `age`

const rows = await db.select().from(users).limit(1);
const parsed: { id: number; name: string; age: number } = Value.Parse(userSelectSchema, rows[0]); // 将成功解析

也支持视图。

import { sqliteView } from 'drizzle-orm/sqlite-core';
import { gt } from 'drizzle-orm';
import { createSelectSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const usersView = sqliteView('users_view').as((qb) => qb.select().from(users).where(gt(users.age, 18)));
const usersViewSchema = createSelectSchema(usersView);
const parsed: { id: number; name: string; age: number } = Value.Parse(usersViewSchema, ...);

插入 schema

定义要插入数据库的数据形状——可用于验证 API 请求。

import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core';
import { createInsertSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const users = sqliteTable('users', {
  id: integer().primaryKey({ autoIncrement: true }),
  name: text().notNull(),
  age: integer().notNull()
});

const userInsertSchema = createInsertSchema(users);

const user = { name: 'John' };
const parsed: { name: string, age: number } = Value.Parse(userInsertSchema, user); // 错误：未定义 `age`

const user = { name: 'Jane', age: 30 };
const parsed: { name: string, age: number } = Value.Parse(userInsertSchema, user); // 将成功解析
await db.insert(users).values(parsed);

更新 schema

定义要在数据库中更新的数据形状——可用于验证 API 请求。

import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core';
import { createUpdateSchema } from 'drizzle-orm/typebox-legacy';
import { Value } from '@sinclair/typebox/value';

const users = sqliteTable('users', {
  id: integer().primaryKey({ autoIncrement: true }),
  name: text().notNull(),
  age: integer().notNull()
});

const userUpdateSchema = createUpdateSchema(users);

const user = { age: 35 };
const parsed: { name?: string | undefined, age?: number | undefined } = Value.Parse(userUpdateSchema, user); // 将成功解析
await db.update(users).set(parsed).where(eq(users.name, 'Jane'));

精化

每个创建 schema 的函数都接受一个额外的可选参数，你可以用它来扩展、修改或完全覆盖某个字段的 schema。提供回调函数会进行扩展或修改，而提供 Typebox schema 则会覆盖它。

import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core';
import { createSelectSchema } from 'drizzle-orm/typebox-legacy';
import { Type } from '@sinclair/typebox';
import { Value } from '@sinclair/typebox/value';

const users = sqliteTable('users', {
  id: integer().primaryKey({ autoIncrement: true }),
  name: text().notNull(),
  bio: text(),
  preferences: text({ mode: 'json' })
});

const userSelectSchema = createSelectSchema(users, {
  name: (schema) => Type.String({ ...schema, maxLength: 20 }), // 扩展 schema
  bio: (schema) => Type.String({ ...schema, maxLength: 1000 }), // 在变为可空/可选之前扩展 schema
  preferences: Type.Object({ theme: Type.String() }) // 覆盖该字段，包括其可空性
});

const parsed: {
  id: number;
  name: string,
  bio: string | null;
  preferences: {
    theme: string;
  };
} = Value.Parse(userSelectSchema, ...);

工厂函数

对于更高级的用例，你可以使用 createSchemaFactory 函数。

用例：使用扩展后的 Typebox 实例

import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core';
import { createSchemaFactory } from 'drizzle-orm/typebox';
import { t } from 'elysia'; // 扩展后的 Typebox 实例

const users = sqliteTable('users', {
  id: integer().primaryKey({ autoIncrement: true }),
  name: text().notNull(),
  age: integer().notNull()
});

const { createInsertSchema } = createSchemaFactory({ typeboxInstance: t });

const userInsertSchema = createInsertSchema(users, {
  // 现在我们可以使用扩展后的实例
  name: (schema) => t.Number({ ...schema }, { error: '`name` 必须是字符串' })
});

数据类型参考

sqlite.integer({ mode: 'boolean' });

// Schema
Type.Boolean();

sqlite.integer({ mode: 'timestamp' });
sqlite.integer({ mode: 'timestamp_ms' });

// Schema
Type.Date();

sqlite.numeric();
sqlite.text({ mode: 'text' });

// Schema
Type.String();

sqlite.numeric({ mode: 'number' });

// Schema
Type.Number({ minimum: -9_007_199_254_740_991, maximum: 9_007_199_254_740_991 }); // JavaScript 安全整数最小值和最大值

sqlite.numeric({ mode: 'bigint' });

// Schema
Type.BigInt({ minimum: -9_223_372_036_854_775_808n, maximum: 9_223_372_036_854_775_807n }); // 64 位整数下限和上限

sqlite.text({ mode: 'text', length: ... });

// Schema
Type.String({ maxLength: length });

sqlite.text({ mode: 'text', enum: ... });

// Schema
Type.Enum(enum);

sqlite.real();

// Schema
Type.Number({ minimum: -140_737_488_355_328, maximum: 140_737_488_355_327 }); // 48 位整数下限和上限

sqlite.integer({ mode: 'number' });

// Schema
Type.Integer({ minimum: -9_007_199_254_740_991, maximum: 9_007_199_254_740_991 }); // JavaScript 安全整数最小值和最大值

sqlite.blob({ mode: 'bigint' });

// Schema
Type.BigInt({ minimum: -9_223_372_036_854_775_808n, maximum: 9_223_372_036_854_775_807n }); // 64 位整数下限和上限

sqlite.blob({ mode: 'json' });
sqlite.text({ mode: 'json' });

// Schema
Type.Recursive((self) => Type.Union([Type.Union([Type.String(), Type.Number(), Type.Boolean(), Type.Null()]), Type.Array(self), Type.Record(Type.String(), self)]));

sqlite.blob({ mode: 'buffer' });

// Schema
t.Union([t.Union([t.String(), t.Number(), t.Boolean(), t.Null()]), t.Array(t.Any()), t.Record(t.String(), t.Any())]);