refactor(frontend): 重构数据集生成页面

- 调整页面布局，优化用户交互流程
- 新增数据集名称输入框
- 使用 LLMRequest 和 LLMResponse 模型处理请求和响应
- 添加 generate_example_json 函数用于格式化生成数据
- 改进数据集生成逻辑，支持多轮次生成

frontend/dataset_generate_page.py

@@ -5,8 +5,8 @@ from langchain.prompts import PromptTemplate
 from sqlmodel import Session, select
 
 sys.path.append(str(Path(__file__).resolve().parent.parent))
-from schema import APIProvider
+from schema import APIProvider, LLMRequest, LLMResponse, DatasetItem
-from tools import call_openai_api,process_markdown_file
+from tools import call_openai_api, process_markdown_file, generate_example_json
 from global_var import get_docs, get_prompt_store, get_sql_engine
 
 def dataset_generate_page():
@@ -16,13 +16,6 @@ def dataset_generate_page():
             with gr.Column(scale=1):
                 docs_list = [str(doc.name) for doc in get_docs()]
                 initial_doc = docs_list[0] if docs_list else None
-                doc_dropdown = gr.Dropdown(
-                    choices=docs_list,
-                    value=initial_doc,
-                    label="选择文档",
-                    interactive=True
-                )
-                doc_choice = gr.State(value=initial_doc)
                 prompts = get_prompt_store().all()
                 prompt_list = [f"{p['id']} {p['name']}" for p in prompts]
                 initial_prompt = prompt_list[0] if prompt_list else None
@@ -37,14 +30,6 @@ def dataset_generate_page():
                     input_variables = prompt_template.input_variables
                     input_variables.remove("document_slice")
                     initial_dataframe_value = [[var, ""] for var in input_variables]
-
-                prompt_dropdown = gr.Dropdown(
-                    choices=prompt_list,
-                    value=initial_prompt,
-                    label="选择模板",
-                    interactive=True
-                )
-                prompt_choice = gr.State(value=initial_prompt)
                 # 从数据库获取API Provider列表
                 with Session(get_sql_engine()) as session:
                     providers = session.exec(select(APIProvider)).all()
@@ -57,8 +42,18 @@ def dataset_generate_page():
                     label="选择API",
                     interactive=True
                 )
-                api_choice = gr.State(value=initial_api)
+                doc_dropdown = gr.Dropdown(
-
+                    choices=docs_list,
+                    value=initial_doc,
+                    label="选择文档",
+                    interactive=True
+                )
+                prompt_dropdown = gr.Dropdown(
+                    choices=prompt_list,
+                    value=initial_prompt,
+                    label="选择模板",
+                    interactive=True
+                )
                 rounds_input = gr.Number(
                     value=1,
                     label="生成轮次",
@@ -76,10 +71,16 @@ def dataset_generate_page():
                     interactive=True,
                     visible=False
                 )
+                dataset_name_input = gr.Textbox(
+                    label="数据集名称",
+                    placeholder="输入数据集保存名称",
+                    interactive=True
+                )
+                prompt_choice = gr.State(value=initial_prompt)
                 generate_button = gr.Button("生成数据集",variant="primary")
-
+                doc_choice = gr.State(value=initial_doc)
                 output_text = gr.Textbox(label="生成结果", interactive=False)
-
+                api_choice = gr.State(value=initial_api)
             with gr.Column(scale=2):
                 variables_dataframe = gr.Dataframe(
                     headers=["变量名", "变量值"],
@@ -88,8 +89,6 @@ def dataset_generate_page():
                     label="变量列表",
                     value=initial_dataframe_value  # 设置初始化数据
                 )
-
-
         def on_doc_change(selected_doc):
             return selected_doc
         
@@ -109,7 +108,7 @@ def dataset_generate_page():
             dataframe_value = [[var, ""] for var in input_variables]
             return selected_prompt, dataframe_value
 
-        def on_generate_click(doc_state, prompt_state, api_state, variables_dataframe, rounds, concurrency, progress=gr.Progress()):
+        def on_generate_click(doc_state, prompt_state, api_state, variables_dataframe, rounds, concurrency, dataset_name, progress=gr.Progress()):
             docs = [i for i in get_docs() if i.name == doc_state][0].markdown_files
             document_slice_list = [process_markdown_file(doc) for doc in docs]
             prompt = [i for i in get_prompt_store().all() if i["id"] == int(prompt_state.split(" ")[0])][0]
@@ -124,12 +123,14 @@ def dataset_generate_page():
                 if var_name:
                     variables_dict[var_name] = var_value
 
-            # 注入除document_slice以外的所有参数
             prompt = prompt.partial(**variables_dict)
 
             for document_slice in document_slice_list:
-                print("~"*20)
+                request = LLMRequest(api_provider=api_provider,
-                print(prompt.format(document_slice=document_slice))
+                                      prompt=prompt.format(document_slice=document_slice),
+                                      format=generate_example_json(DatasetItem))
+                call_openai_api(request, rounds)
+                
 
             return "all done"
 
@@ -139,7 +140,7 @@ def dataset_generate_page():
 
         generate_button.click(
             on_generate_click,
-            inputs=[doc_choice, prompt_choice, api_choice, variables_dataframe, rounds_input, concurrency_input],
+            inputs=[doc_choice, prompt_choice, api_choice, variables_dataframe, rounds_input, concurrency_input, dataset_name_input],
             outputs=output_text
         )