4c9caff668
- 将 dataset、dataset_item 和 doc 类的首字母大写，以符合 Python 类命名惯例 - 更新相关模块中的导入和引用，以适应新的类名 - 此更改不影响功能，仅提高了代码的一致性和可读性
68 lines
2.6 KiB
Python
68 lines
2.6 KiB
Python
from pydantic import BaseModel, create_model
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from typing import Any, Dict, List, Optional, Union, get_args, get_origin
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import json
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from datetime import datetime, date
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def generate_example_json(model: type[BaseModel], include_optional: bool = False,list_length = 2) -> str:
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"""
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根据 Pydantic V2 模型生成示例 JSON 数据结构。
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"""
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def _generate_example(field_type: Any) -> Any:
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origin = get_origin(field_type)
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args = get_args(field_type)
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if origin is list or origin is List:
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# 生成多个元素，这里生成 3 个
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result = [_generate_example(args[0]) for _ in range(list_length)] if args else []
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result.append("......")
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return result
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elif origin is dict or origin is Dict:
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if len(args) == 2:
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return {"key": _generate_example(args[1])}
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return {}
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elif origin is Union:
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# 处理 Optional 类型（Union[T, None]）
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non_none_args = [arg for arg in args if arg is not type(None)]
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return _generate_example(non_none_args[0]) if non_none_args else None
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elif field_type is str:
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return "string"
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elif field_type is int:
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return 0
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elif field_type is float:
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return 0.0
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elif field_type is bool:
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return True
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elif field_type is datetime:
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return datetime.now().isoformat()
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elif field_type is date:
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return date.today().isoformat()
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elif isinstance(field_type, type) and issubclass(field_type, BaseModel):
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return json.loads(generate_example_json(field_type, include_optional))
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else:
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# 处理直接类型注解（非泛型）
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if field_type is type(None):
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return None
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try:
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if issubclass(field_type, BaseModel):
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return json.loads(generate_example_json(field_type, include_optional))
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except TypeError:
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pass
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return "unknown"
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example_data = {}
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for field_name, field in model.model_fields.items():
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if include_optional or not isinstance(field.default, type(None)):
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example_data[field_name] = _generate_example(field.annotation)
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return json.dumps(example_data, indent=2, default=str)
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if __name__ == "__main__":
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import sys
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from pathlib import Path
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# 添加项目根目录到sys.path
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sys.path.append(str(Path(__file__).resolve().parent.parent))
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from schema import Dataset
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print("示例 JSON:")
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print(generate_example_json(Dataset))
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