notes:

1) move the function _generate_numbered_list from excel_analyze/chat.py to base_chat.py

pilot/scene/base_chat.py

@@ -458,6 +458,54 @@ class BaseChat(ABC):
         else:
             return prompt_define_response
 
+    def _generate_numbered_list(self) -> str:
+        """this function is moved from excel_analyze/chat.py,and used by subclass.
+        Returns:
+
+        """
+        antv_charts = [
+            {"response_line_chart": "used to display comparative trend analysis data"},
+            {
+                "response_pie_chart": "suitable for scenarios such as proportion and distribution statistics"
+            },
+            {
+                "response_table": "suitable for display with many display columns or non-numeric columns"
+            },
+            # {"response_data_text":" the default display method, suitable for single-line or simple content display"},
+            {
+                "response_scatter_plot": "Suitable for exploring relationships between variables, detecting outliers, etc."
+            },
+            {
+                "response_bubble_chart": "Suitable for relationships between multiple variables, highlighting outliers or special situations, etc."
+            },
+            {
+                "response_donut_chart": "Suitable for hierarchical structure representation, category proportion display and highlighting key categories, etc."
+            },
+            {
+                "response_area_chart": "Suitable for visualization of time series data, comparison of multiple groups of data, analysis of data change trends, etc."
+            },
+            {
+                "response_heatmap": "Suitable for visual analysis of time series data, large-scale data sets, distribution of classified data, etc."
+            },
+        ]
+
+        # command_strings = []
+        # if CFG.command_disply:
+        #     for name, item in CFG.command_disply.commands.items():
+        #         if item.enabled:
+        #             command_strings.append(f"{name}:{item.description}")
+        # command_strings += [
+        #     str(item)
+        #     for item in CFG.command_disply.commands.values()
+        #     if item.enabled
+        # ]
+        return "\n".join(
+            f"{key}:{value}"
+            for dict_item in antv_charts
+            for key, value in dict_item.items()
+        )
+
+
 
 def _build_model_operator(
     is_stream: bool = False, dag_name: str = "llm_model_dag"
@@ -665,4 +713,4 @@ def _load_history_messages(
                             ModelMessage(role=message_type, content=message_content)
                         )
 
-    return history_text if str_message else history_messages
+    return history_text if str_message else history_messages

pilot/scene/chat_data/chat_excel/excel_analyze/chat.py

@@ -50,49 +50,6 @@ class ChatExcel(BaseChat):
         self.api_call = ApiCall(display_registry=CFG.command_disply)
         super().__init__(chat_param=chat_param)
 
-    def _generate_numbered_list(self) -> str:
-        antv_charts = [
-            {"response_line_chart": "used to display comparative trend analysis data"},
-            {
-                "response_pie_chart": "suitable for scenarios such as proportion and distribution statistics"
-            },
-            {
-                "response_table": "suitable for display with many display columns or non-numeric columns"
-            },
-            # {"response_data_text":" the default display method, suitable for single-line or simple content display"},
-            {
-                "response_scatter_plot": "Suitable for exploring relationships between variables, detecting outliers, etc."
-            },
-            {
-                "response_bubble_chart": "Suitable for relationships between multiple variables, highlighting outliers or special situations, etc."
-            },
-            {
-                "response_donut_chart": "Suitable for hierarchical structure representation, category proportion display and highlighting key categories, etc."
-            },
-            {
-                "response_area_chart": "Suitable for visualization of time series data, comparison of multiple groups of data, analysis of data change trends, etc."
-            },
-            {
-                "response_heatmap": "Suitable for visual analysis of time series data, large-scale data sets, distribution of classified data, etc."
-            },
-        ]
-
-        # command_strings = []
-        # if CFG.command_disply:
-        #     for name, item in CFG.command_disply.commands.items():
-        #         if item.enabled:
-        #             command_strings.append(f"{name}:{item.description}")
-        # command_strings += [
-        #     str(item)
-        #     for item in CFG.command_disply.commands.values()
-        #     if item.enabled
-        # ]
-        return "\n".join(
-            f"{key}:{value}"
-            for dict_item in antv_charts
-            for key, value in dict_item.items()
-        )
-
     @trace()
     async def generate_input_values(self) -> Dict:
         input_values = {

pilot/scene/chat_db/auto_execute/chat.py

@@ -89,46 +89,3 @@ class ChatWithDbAutoExecute(BaseChat):
     def do_action(self, prompt_response):
         print(f"do_action:{prompt_response}")
         return self.database.run_to_df
-
-    def _generate_numbered_list(self) -> str:
-        antv_charts = [
-            {"response_line_chart": "used to display comparative trend analysis data"},
-            {
-                "response_pie_chart": "suitable for scenarios such as proportion and distribution statistics"
-            },
-            {
-                "response_table": "suitable for display with many display columns or non-numeric columns"
-            },
-            # {"response_data_text":" the default display method, suitable for single-line or simple content display"},
-            {
-                "response_scatter_plot": "Suitable for exploring relationships between variables, detecting outliers, etc."
-            },
-            {
-                "response_bubble_chart": "Suitable for relationships between multiple variables, highlighting outliers or special situations, etc."
-            },
-            {
-                "response_donut_chart": "Suitable for hierarchical structure representation, category proportion display and highlighting key categories, etc."
-            },
-            {
-                "response_area_chart": "Suitable for visualization of time series data, comparison of multiple groups of data, analysis of data change trends, etc."
-            },
-            {
-                "response_heatmap": "Suitable for visual analysis of time series data, large-scale data sets, distribution of classified data, etc."
-            },
-        ]
-
-        # command_strings = []
-        # if CFG.command_disply:
-        #     for name, item in CFG.command_disply.commands.items():
-        #         if item.enabled:
-        #             command_strings.append(f"{name}:{item.description}")
-        # command_strings += [
-        #     str(item)
-        #     for item in CFG.command_disply.commands.values()
-        #     if item.enabled
-        # ]
-        return "\n".join(
-            f"{key}:{value}"
-            for dict_item in antv_charts
-            for key, value in dict_item.items()
-        )