json-to-pydantic

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This skill helps convert raw JSON data or API responses into structured, strongly-typed Python classes using Pydantic.

本技能可帮助你将原始JSON数据或API响应转换为结构化、强类型的Python类，使用Pydantic实现。

Analyze the Input: Look at the JSON object provided by the user.
Infer Types:
- ```
string
```
  ->
```
str
```
- ```
number
```
  ->
```
int
```
  or
```
float
```
- ```
boolean
```
  ->
```
bool
```
- ```
array
```
  ->
```
List[Type]
```
- ```
null
```
  ->
```
Optional[Type]
```
- Nested Objects -> Create a separate sub-class.
Follow the Example: Review
```
examples/
```
to see how to structure the output code. notice how nested dictionaries like
```
preferences
```
are extracted into their own class.
- Input:
```
examples/input_data.json
```
- Output:
```
examples/output_model.py
```

分析输入：查看用户提供的JSON对象。
推断类型：
- ```
string
```
  ->
```
str
```
- ```
number
```
  ->
```
int
```
  或
```
float
```
- ```
boolean
```
  ->
```
bool
```
- ```
array
```
  ->
```
List[Type]
```
- ```
null
```
  ->
```
Optional[Type]
```
- 嵌套对象 -> 创建独立的子类。
参考示例：查看
```
examples/
```
目录下的内容，了解如何构建输出代码。注意像
```
preferences
```
这样的嵌套字典是如何提取为独立类的。
- 输入：
```
examples/input_data.json
```
- 输出：
```
examples/output_model.py
```