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notes:
1) move the function _generate_numbered_list from excel_analyze/chat.py to base_chat.py
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@ -458,6 +458,54 @@ class BaseChat(ABC):
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else:
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return prompt_define_response
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def _generate_numbered_list(self) -> str:
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"""this function is moved from excel_analyze/chat.py,and used by subclass.
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Returns:
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"""
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antv_charts = [
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{"response_line_chart": "used to display comparative trend analysis data"},
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{
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"response_pie_chart": "suitable for scenarios such as proportion and distribution statistics"
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},
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{
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"response_table": "suitable for display with many display columns or non-numeric columns"
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},
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# {"response_data_text":" the default display method, suitable for single-line or simple content display"},
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{
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"response_scatter_plot": "Suitable for exploring relationships between variables, detecting outliers, etc."
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},
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{
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"response_bubble_chart": "Suitable for relationships between multiple variables, highlighting outliers or special situations, etc."
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},
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{
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"response_donut_chart": "Suitable for hierarchical structure representation, category proportion display and highlighting key categories, etc."
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},
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{
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"response_area_chart": "Suitable for visualization of time series data, comparison of multiple groups of data, analysis of data change trends, etc."
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},
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{
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"response_heatmap": "Suitable for visual analysis of time series data, large-scale data sets, distribution of classified data, etc."
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},
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]
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# command_strings = []
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# if CFG.command_disply:
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# for name, item in CFG.command_disply.commands.items():
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# if item.enabled:
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# command_strings.append(f"{name}:{item.description}")
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# command_strings += [
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# str(item)
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# for item in CFG.command_disply.commands.values()
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# if item.enabled
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# ]
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return "\n".join(
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f"{key}:{value}"
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for dict_item in antv_charts
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for key, value in dict_item.items()
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)
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def _build_model_operator(
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is_stream: bool = False, dag_name: str = "llm_model_dag"
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@ -665,4 +713,4 @@ def _load_history_messages(
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ModelMessage(role=message_type, content=message_content)
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)
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return history_text if str_message else history_messages
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return history_text if str_message else history_messages
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@ -50,49 +50,6 @@ class ChatExcel(BaseChat):
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self.api_call = ApiCall(display_registry=CFG.command_disply)
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super().__init__(chat_param=chat_param)
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def _generate_numbered_list(self) -> str:
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antv_charts = [
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{"response_line_chart": "used to display comparative trend analysis data"},
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{
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"response_pie_chart": "suitable for scenarios such as proportion and distribution statistics"
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},
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{
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"response_table": "suitable for display with many display columns or non-numeric columns"
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},
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# {"response_data_text":" the default display method, suitable for single-line or simple content display"},
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{
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"response_scatter_plot": "Suitable for exploring relationships between variables, detecting outliers, etc."
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},
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{
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"response_bubble_chart": "Suitable for relationships between multiple variables, highlighting outliers or special situations, etc."
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},
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{
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"response_donut_chart": "Suitable for hierarchical structure representation, category proportion display and highlighting key categories, etc."
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},
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{
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"response_area_chart": "Suitable for visualization of time series data, comparison of multiple groups of data, analysis of data change trends, etc."
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},
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{
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"response_heatmap": "Suitable for visual analysis of time series data, large-scale data sets, distribution of classified data, etc."
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},
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]
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# command_strings = []
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# if CFG.command_disply:
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# for name, item in CFG.command_disply.commands.items():
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# if item.enabled:
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# command_strings.append(f"{name}:{item.description}")
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# command_strings += [
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# str(item)
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# for item in CFG.command_disply.commands.values()
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# if item.enabled
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# ]
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return "\n".join(
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f"{key}:{value}"
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for dict_item in antv_charts
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for key, value in dict_item.items()
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)
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@trace()
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async def generate_input_values(self) -> Dict:
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input_values = {
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@ -89,46 +89,3 @@ class ChatWithDbAutoExecute(BaseChat):
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def do_action(self, prompt_response):
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print(f"do_action:{prompt_response}")
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return self.database.run_to_df
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def _generate_numbered_list(self) -> str:
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antv_charts = [
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{"response_line_chart": "used to display comparative trend analysis data"},
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{
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"response_pie_chart": "suitable for scenarios such as proportion and distribution statistics"
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},
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{
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"response_table": "suitable for display with many display columns or non-numeric columns"
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},
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# {"response_data_text":" the default display method, suitable for single-line or simple content display"},
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{
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"response_scatter_plot": "Suitable for exploring relationships between variables, detecting outliers, etc."
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},
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{
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"response_bubble_chart": "Suitable for relationships between multiple variables, highlighting outliers or special situations, etc."
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},
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{
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"response_donut_chart": "Suitable for hierarchical structure representation, category proportion display and highlighting key categories, etc."
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},
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{
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"response_area_chart": "Suitable for visualization of time series data, comparison of multiple groups of data, analysis of data change trends, etc."
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},
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{
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"response_heatmap": "Suitable for visual analysis of time series data, large-scale data sets, distribution of classified data, etc."
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},
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]
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# command_strings = []
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# if CFG.command_disply:
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# for name, item in CFG.command_disply.commands.items():
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# if item.enabled:
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# command_strings.append(f"{name}:{item.description}")
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# command_strings += [
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# str(item)
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# for item in CFG.command_disply.commands.values()
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# if item.enabled
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# ]
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return "\n".join(
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f"{key}:{value}"
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for dict_item in antv_charts
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for key, value in dict_item.items()
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)
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