refactor(frontend/tools): 重命名生成示例 JSON 数据结构的函数

- 将 generate_example_json 函数重命名为 generate_json_example
- 更新相关文件中的函数调用和引用
- 此更改旨在使函数名称更具描述性和一致性

frontend/dataset_generate_page.py

@@ -6,7 +6,7 @@ from sqlmodel import Session, select
 
 sys.path.append(str(Path(__file__).resolve().parent.parent))
 from schema import APIProvider, LLMRequest, LLMResponse, DatasetItem
-from tools import call_openai_api, process_markdown_file, generate_example_json
+from tools import call_openai_api, process_markdown_file, generate_json_example
 from global_var import get_docs, get_prompt_store, get_sql_engine
 
 def dataset_generate_page():
@@ -128,7 +128,7 @@ def dataset_generate_page():
             for document_slice in document_slice_list:
                 request = LLMRequest(api_provider=api_provider,
                                       prompt=prompt.format(document_slice=document_slice),
-                                      format=generate_example_json(DatasetItem))
+                                      format=generate_json_example(DatasetItem))
                 call_openai_api(request, rounds)
                 
 

tools/__init__.py

@@ -1,5 +1,5 @@
 from .parse_markdown import *
 from .document import *
-from .json_example import generate_example_json
+from .json_example import generate_json_example
 from .port import *
 from .reasoning import call_openai_api

tools/json_example.py

@@ -3,7 +3,7 @@ from typing import Any, Dict, List, Optional, Union, get_args, get_origin
 import json
 from datetime import datetime, date
 
-def generate_example_json(model: type[BaseModel], include_optional: bool = False,list_length = 2) -> str:
+def generate_json_example(model: type[BaseModel], include_optional: bool = False,list_length = 2) -> str:
     """
     根据 Pydantic V2 模型生成示例 JSON 数据结构。
     """
@@ -37,14 +37,14 @@ def generate_example_json(model: type[BaseModel], include_optional: bool = False
         elif field_type is date:
             return date.today().isoformat()
         elif isinstance(field_type, type) and issubclass(field_type, BaseModel):
-            return json.loads(generate_example_json(field_type, include_optional))
+            return json.loads(generate_json_example(field_type, include_optional))
         else:
             # 处理直接类型注解（非泛型）
             if field_type is type(None):
                 return None
             try:
                 if issubclass(field_type, BaseModel):
-                    return json.loads(generate_example_json(field_type, include_optional))
+                    return json.loads(generate_json_example(field_type, include_optional))
             except TypeError:
                 pass
             return "unknown"
@@ -64,4 +64,4 @@ if __name__ == "__main__":
     from schema import Dataset
 
     print("示例 JSON:")
-    print(generate_example_json(Dataset))
+    print(generate_json_example(Dataset))

tools/reasoning.py

@@ -93,7 +93,7 @@ async def call_openai_api(llm_request: LLMRequest, rounds: int = 1, llm_paramete
     return llm_request
 
 if __name__ == "__main__":
-    from json_example import generate_example_json
+    from json_example import generate_json_example
     from sqlmodel import Session, select
     from global_var import get_sql_engine, init_global_var
     from schema import DatasetItem
@@ -105,7 +105,7 @@ if __name__ == "__main__":
     llm_request = LLMRequest(
         prompt="测试，随便说点什么",
         api_provider=api_provider,
-        format=generate_example_json(DatasetItem)
+        format=generate_json_example(DatasetItem)
     )
 
     # # 单次调用示例