TurboDev

Introduction

Getting Started

Editors

Schema Setup

Basic Types

Generated Types

Relationships

AI Models

Seeding the Database

One-to-One

One-to-Many

Many-to-Many

Simple Relationships

Generated Relationships

AI Models

Seeding the Database

Workspaces

Managing Users

Access

Documentation Tutorial FAQ

Search documentation

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TurboDev Data Generation

TurboDev uses a combination of AI and traditional database techniques to generate data for your database.

You can use TurboDev to generate data for your database by simply specifying the schema for your data and defining the definitions between the models.

You can use all the available standard data types, such as String, Number, Boolean, etc. to define your schema. Then you can also define any generated fields that you would like to use to populate your database. This enables developers to generate realistic data for their databases and preview a simulated deploymentlocally.

TurboDev also supports relationships between models, which it will automatically generate based on the definitions you provide. It is contextually aware of relationship graphs, enabling complex parent to child relationships. It is also capable of generating relationship graphs allowing for complex relationships between models.

TurboDev supports parent to child relationships, but not circular generated relationships.

You can learn more about how to define your schema and relationships in the Schema Setup section.

TurboDev also supports seeding your local or test environment databases with data using the TurboDev CLI.


// Imports
import mongoose, { Schema } from 'mongoose'

// Consider importing of specific models
export const collection = 'Product'|

// Schema
const schema = new Schema({
  name: {
    type: String,
    required: true
  },

  description: {
    type: String
  }
}, {timestamps: true})

// Model
export default mongoose.model(collection, schema, collection)


// 导入
import mongoose, { Schema } from 'mongoose'

// 考虑进口特定型号
export const collection = 'Product'|

// 架构
const schema = new Schema({
  name: {
    type: String,
    required: true
  },

  description: {
    type: String
  }
}, {timestamps: true})

// 模型
export default mongoose.model(collection, schema, collection)


# Building an Autocomplete Component in React

An autocomplete component enhances user experience by suggesting relevant options as users type. Here's a guide on creating one from scratch.

## Core Concepts

1. **Input Management**
   - Track user input with state
   - Debounce input changes to prevent excessive API calls
   - Handle keyboard navigation (up/down arrows)

2. **Suggestions Display**
   - Filter and display matching suggestions
   - Highlight matching text portions
   - Handle empty states gracefully

## Basic Implementation

```jsx
const Autocomplete = ({ suggestions, onSelect }) => {
  const [query, setQuery] = useState('');
  const [activeSuggestion, setActiveSuggestion] = useState(0);

  const filteredSuggestions = suggestions.filter(
    item => item.toLowerCase().includes(query.toLowerCase())
  );
```

## Key Features to Consider

1. Accessibility support with ARIA labels
2. Keyboard navigation
3. Mobile responsiveness
...


# 在React中构建自动完成组件

自动完成组件通过在用户输入时提供相关建议来提升用户体验。以下是从零开始创建该组件的指南。

## 核心概念

1. **输入管理**
   - 使用状态跟踪用户输入
   - 使用防抖处理输入变化，避免过多的API调用
   - 处理键盘导航（上下箭头）

2. **建议显示**
   - 过滤并显示匹配的建议
   - 高亮显示匹配的文本部分
   - 妥善处理空状态

## 基本实现

```jsx
const Autocomplete = ({ suggestions, onSelect }) => {
  const [query, setQuery] = useState('');
  const [activeSuggestion, setActiveSuggestion] = useState(0);

  const filteredSuggestions = suggestions.filter(
    item => item.toLowerCase().includes(query.toLowerCase())
  );
```

## 需要考虑的关键特性

1. 使用ARIA标签支持无障碍访问
2. 键盘导航
3. 移动端响应式
...

We also add support for additional context additions, for more explanation for english only sections, such as inserting comments in-line for explanations of english terms.


# 在React中构建自动完成组件

自动完成组件通过在用户输入时提供相关建议来提升用户体验。以下是从零开始创建该组件的详细指南。

## 核心概念

1. **输入管理**
   - 使用状态跟踪用户输入
   - 使用防抖处理输入变化，避免过多的API调用
   - 处理键盘导航（上下箭头）
   - 实现输入验证和错误处理

2. **建议显示**
   - 过滤并显示匹配的建议
   - 高亮显示匹配的文本部分
   - 妥善处理空状态
   - 实现虚拟滚动以处理大量数据

## 基本实现

```jsx
const Autocomplete = ({ suggestions, onSelect }) => {
  // 状态管理
  const [query, setQuery] = useState('');
  const [activeSuggestion, setActiveSuggestion] = useState(0);
  const [showSuggestions, setShowSuggestions] = useState(false);
  const [loading, setLoading] = useState(false);

  // 防抖处理
  const debouncedSearch = useCallback(
    debounce((searchTerm) => {
      fetchSuggestions(searchTerm);
    }, 300),
    []
  );

  // 过滤建议
  const filteredSuggestions = suggestions.filter(
    item => item.toLowerCase().includes(query.toLowerCase())
  );
```

Internationalization made Easy

TurboDev

Introduction

Getting Started

Editors

Schema Setup

Basic Types

Generated Types

Relationships

AI Models

Seeding the Database

One-to-One

One-to-Many

Many-to-Many

Simple Relationships

Generated Relationships

AI Models

Seeding the Database

Workspaces

Managing Users

Access

TurboDev Data Generation

Keep Context in Code

Contextual Support in Markdown