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114 lines
4.1 KiB
Python
114 lines
4.1 KiB
Python
import json
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import os
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import uuid
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from typing import Dict, List
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from dbgpt._private.config import Config
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from dbgpt.app.scene import BaseChat, ChatScene
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from dbgpt.app.scene.chat_dashboard.data_loader import DashboardDataLoader
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from dbgpt.app.scene.chat_dashboard.data_preparation.report_schma import (
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ChartData,
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ReportData,
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)
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from dbgpt.util.executor_utils import blocking_func_to_async
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from dbgpt.util.tracer import trace
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CFG = Config()
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class ChatDashboard(BaseChat):
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chat_scene: str = ChatScene.ChatDashboard.value()
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report_name: str
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"""Chat Dashboard to generate dashboard chart"""
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def __init__(self, chat_param: Dict):
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"""Chat Dashboard Module Initialization
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Args:
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- chat_param: Dict
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- chat_session_id: (str) chat session_id
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- current_user_input: (str) current user input
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- model_name:(str) llm model name
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- select_param:(str) dbname
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"""
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self.db_name = chat_param["select_param"]
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chat_param["chat_mode"] = ChatScene.ChatDashboard
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super().__init__(chat_param=chat_param)
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if not self.db_name:
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raise ValueError(f"{ChatScene.ChatDashboard.value} mode should choose db!")
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self.db_name = self.db_name
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self.report_name = chat_param.get("report_name", "report")
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self.database = CFG.local_db_manager.get_connector(self.db_name)
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self.top_k: int = 5
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self.dashboard_template = self.__load_dashboard_template(self.report_name)
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def __load_dashboard_template(self, template_name):
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current_dir = os.getcwd()
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print(current_dir)
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current_dir = os.path.dirname(os.path.abspath(__file__))
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with open(f"{current_dir}/template/{template_name}/dashboard.json", "r") as f:
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data = f.read()
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return json.loads(data)
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@trace()
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async def generate_input_values(self) -> Dict:
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try:
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from dbgpt.rag.summary.db_summary_client import DBSummaryClient
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except ImportError:
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raise ValueError("Could not import DBSummaryClient. ")
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client = DBSummaryClient(system_app=CFG.SYSTEM_APP)
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try:
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table_infos = await blocking_func_to_async(
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self._executor,
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client.get_db_summary,
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self.db_name,
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self.current_user_input,
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self.top_k,
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)
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print("dashboard vector find tables:{}", table_infos)
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except Exception as e:
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print("db summary find error!" + str(e))
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input_values = {
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"input": self.current_user_input,
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"dialect": self.database.dialect,
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"table_info": self.database.table_simple_info(),
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"supported_chat_type": self.dashboard_template["supported_chart_type"]
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# "table_info": client.get_similar_tables(dbname=self.db_name, query=self.current_user_input, topk=self.top_k)
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}
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return input_values
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def do_action(self, prompt_response):
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### TODO 记录整体信息，处理成功的，和未成功的分开记录处理
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chart_datas: List[ChartData] = []
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dashboard_data_loader = DashboardDataLoader()
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for chart_item in prompt_response:
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try:
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field_names, values = dashboard_data_loader.get_chart_values_by_conn(
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self.database, chart_item.sql
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)
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chart_datas.append(
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ChartData(
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chart_uid=str(uuid.uuid1()),
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chart_name=chart_item.title,
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chart_type=chart_item.showcase,
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chart_desc=chart_item.thoughts,
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chart_sql=chart_item.sql,
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column_name=field_names,
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values=values,
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)
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)
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except Exception as e:
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# TODO 修复流程
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print(str(e))
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return ReportData(
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conv_uid=self.chat_session_id,
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template_name=self.report_name,
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template_introduce=None,
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charts=chart_datas,
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)
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