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feat(editor): editor api devlop
editor api devlop part 2
This commit is contained in:
yhjun1026
parent
a95d292bf9
commit
f6fb9c04d3
@ -1,4 +1,5 @@
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import json
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import time
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from fastapi import (
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APIRouter,
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Body,
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@ -17,17 +18,18 @@ from pilot.openapi.api_view_model import (
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)
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from pilot.openapi.editor_view_model import (
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ChatDbRounds,
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ChartList,
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ChartDetail,
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ChatChartEditContext,
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ChatSqlEditContext,
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DbTable
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)
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from pilot.openapi.api_v1.editor.sql_editor import DataNode,ChartRunData,SqlRunData
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from pilot.openapi.api_v1.editor.sql_editor import DataNode, ChartRunData, SqlRunData
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from pilot.memory.chat_history.duckdb_history import DuckdbHistoryMemory
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from pilot.scene.message import OnceConversation
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from pilot.scene.chat_dashboard.data_loader import DashboardDataLoader
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from pilot.scene.chat_db.data_loader import DbDataLoader
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router = APIRouter()
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CFG = Config()
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@ -83,14 +85,24 @@ async def get_editor_sql(con_uid: str, round: int):
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for element in once["messages"]:
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if element["type"] == "ai":
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return Result.succ(json.loads(element["data"]["content"]))
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return Result.faild("没有获取到可用的SQL返回结构")
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return Result.faild(msg="not have sql!")
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@router.post("/v1/editor/sql/run", response_model=Result[List[dict]])
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@router.post("/v1/editor/sql/run", response_model=Result[SqlRunData])
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async def editor_sql_run(db_name: str, sql: str):
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logger.info("get_editor_sql_run:{},{}", db_name, sql)
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conn = CFG.LOCAL_DB_MANAGE.get_connect(db_name)
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return Result.succ(conn.run(sql))
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start_time = time.time() * 1000
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colunms, sql_result = conn.query_ex(sql)
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# 计算执行耗时
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end_time = time.time() * 1000
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sql_run_data: SqlRunData = SqlRunData(result_info="",
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run_cost=(end_time - start_time) / 1000,
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colunms=colunms,
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values=sql_result
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)
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return Result.succ(sql_run_data)
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@router.post("/v1/sql/editor/submit", response_model=Result)
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@ -99,34 +111,43 @@ async def sql_editor_submit(sql_edit_context: ChatSqlEditContext = Body()):
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history_mem = DuckdbHistoryMemory(sql_edit_context.conv_uid)
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history_messages: List[OnceConversation] = history_mem.get_messages()
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if history_messages:
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edit_round = list(filter(lambda x: x['chat_order'] == sql_edit_context.conv_round, history_messages))[0]
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conn = CFG.LOCAL_DB_MANAGE.get_connect(sql_edit_context.db_name)
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edit_round = list(filter(lambda x: x['chat_order'] == sql_edit_context.conv_round, history_messages))[0]
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if edit_round:
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for element in edit_round["messages"]:
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if element["type"] == "ai":
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element["data"]["content"]=""
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db_resp = json.loads(element["data"]["content"])
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db_resp['thoughts'] = sql_edit_context.new_speak
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db_resp['sql'] = sql_edit_context.new_sql
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element["data"]["content"] = json.dumps(db_resp)
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if element["type"] == "view":
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element["data"]["content"]=""
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data_loader = DbDataLoader()
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element["data"]["content"] = data_loader.get_table_view_by_conn(conn.run(sql_edit_context.new_sql),
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sql_edit_context.new_speak)
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history_mem.update(history_messages)
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return Result.succ(None)
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return Result.faild("Edit Faild!")
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return Result.faild(msg="Edit Faild!")
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@router.get("/v1/editor/chart/list", response_model=Result[ChartDetail])
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@router.get("/v1/editor/chart/list", response_model=Result[ChartList])
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async def get_editor_chart_list(con_uid: str):
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logger.info("get_editor_sql_rounds:{}", con_uid)
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history_mem = DuckdbHistoryMemory(con_uid)
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history_messages: List[OnceConversation] = history_mem.get_messages()
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if history_messages:
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last_round = max(history_messages, key=lambda x: x['chat_order'])
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db_name = last_round["param_value"]
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for element in last_round["messages"]:
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if element["type"] == "ai":
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return Result.succ(json.loads(element["data"]["content"]))
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return Result.faild("没有获取到可用的SQL返回结构")
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chart_list: ChartList = ChartList(round=last_round, db_name=db_name,
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charts=json.loads(element["data"]["content"]))
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return Result.succ(chart_list)
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return Result.faild(msg="Not have charts!")
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@router.get("/v1/editor/chart/info", response_model=Result[ChartDetail])
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async def get_editor_chart_info(con_uid: str, chart_uid: str):
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async def get_editor_chart_info(con_uid: str, chart_title: str):
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logger.info(f"get_editor_sql_rounds:{con_uid}")
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logger.info("get_editor_sql_rounds:{}", con_uid)
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history_mem = DuckdbHistoryMemory(con_uid)
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@ -136,12 +157,12 @@ async def get_editor_chart_info(con_uid: str, chart_uid: str):
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db_name = last_round["param_value"]
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if not db_name:
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logger.error("this dashboard dialogue version too old, can't support editor!")
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return Result.faild("this dashboard dialogue version too old, can't support editor!")
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return Result.faild(msg="this dashboard dialogue version too old, can't support editor!")
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for element in last_round["messages"]:
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if element["type"] == "view":
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view_data: dict = json.loads(element["data"]["content"]);
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charts: List = view_data.get("charts")
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find_chart = list(filter(lambda x: x['chart_name'] == chart_uid, charts))[0]
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find_chart = list(filter(lambda x: x['chart_name'] == chart_title, charts))[0]
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conn = CFG.LOCAL_DB_MANAGE.get_connect(db_name)
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detail: ChartDetail = ChartDetail(chart_uid=find_chart['chart_uid'],
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@ -155,23 +176,27 @@ async def get_editor_chart_info(con_uid: str, chart_uid: str):
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)
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return Result.succ(detail)
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return Result.faild("Can't Find Chart Detail Info!")
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return Result.faild(msg="Can't Find Chart Detail Info!")
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@router.post("/v1/editor/chart/run", response_model=Result[ChartRunData])
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async def editor_chart_run(db_name: str, sql: str):
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logger.info(f"editor_chart_run:{db_name},{sql}")
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dashboard_data_loader:DashboardDataLoader = DashboardDataLoader()
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dashboard_data_loader: DashboardDataLoader = DashboardDataLoader()
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db_conn = CFG.LOCAL_DB_MANAGE.get_connect(db_name)
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field_names,chart_values = dashboard_data_loader.get_chart_values_by_db(db_conn, sql)
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field_names, chart_values = dashboard_data_loader.get_chart_values_by_conn(db_conn, sql)
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sql_run_data:SqlRunData = SqlRunData(result_info="",
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run_cost="",
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colunms= field_names,
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values= db_conn.query_ex(sql)
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)
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return Result.succ(ChartRunData(sql_data=sql_run_data,chart_values=chart_values))
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start_time = time.time() * 1000
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colunms, sql_result = db_conn.query_ex(sql)
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# 计算执行耗时
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end_time = time.time() * 1000
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sql_run_data: SqlRunData = SqlRunData(result_info="",
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run_cost=(end_time - start_time) / 1000,
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colunms=colunms,
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values=sql_result
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)
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return Result.succ(ChartRunData(sql_data=sql_run_data, chart_values=chart_values))
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@router.post("/v1/chart/editor/submit", response_model=Result[bool])
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@ -180,21 +205,40 @@ async def chart_editor_submit(chart_edit_context: ChatChartEditContext = Body())
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history_mem = DuckdbHistoryMemory(chart_edit_context.conv_uid)
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history_messages: List[OnceConversation] = history_mem.get_messages()
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if history_messages:
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edit_round = list(filter(lambda x: x['chat_order'] == chart_edit_context.conv_round, history_messages))[0]
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dashboard_data_loader: DashboardDataLoader = DashboardDataLoader()
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db_conn = CFG.LOCAL_DB_MANAGE.get_connect(chart_edit_context.db_name)
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edit_round = max(history_messages, key=lambda x: x['chat_order'])
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if edit_round:
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for element in edit_round["messages"]:
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if element["type"] == "ai":
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view_data: dict = json.loads(element["data"]["content"]);
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charts: List = view_data.get("charts")
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find_chart = list(filter(lambda x: x['chart_name'] == chart_edit_context.chart_uid, charts))[0]
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try:
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for element in edit_round["messages"]:
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if element["type"] == "view":
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view_data: dict = json.loads(element["data"]["content"]);
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charts: List = view_data.get("charts")
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find_chart = list(filter(lambda x: x['chart_name'] == chart_edit_context.chart_title, charts))[0]
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if chart_edit_context.new_chart_type:
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find_chart['chart_type'] = chart_edit_context.new_chart_type
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if chart_edit_context.new_comment:
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find_chart['chart_desc'] = chart_edit_context.new_comment
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field_names, chart_values = dashboard_data_loader.get_chart_values_by_conn(db_conn,
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chart_edit_context.new_sql)
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find_chart['chart_sql'] = chart_edit_context.new_sql
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find_chart['values'] = [value.dict() for value in chart_values]
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find_chart['column_name'] = field_names
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if element["type"] == "view":
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view_data: dict = json.loads(element["data"]["content"]);
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charts: List = view_data.get("charts")
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find_chart = list(filter(lambda x: x['chart_name'] == chart_edit_context.chart_uid, charts))[0]
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element["data"]["content"] = json.dumps(view_data, ensure_ascii=False)
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if element["type"] == "ai":
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ai_resp: dict = json.loads(element["data"]["content"])
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edit_item = list(filter(lambda x: x['title'] == chart_edit_context.chart_title, ai_resp))[0]
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edit_item["sql"] = chart_edit_context.new_sql
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edit_item["showcase"] = chart_edit_context.new_chart_type
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edit_item["thoughts"] = chart_edit_context.new_comment
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element["data"]["content"] = json.dumps(ai_resp, ensure_ascii=False)
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except Exception as e:
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logger.error(f"edit chart exception!{str(e)}" ,e)
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return Result.faild(msg=f"Edit chart exception!{str(e)}")
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history_mem.update(history_messages)
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return Result.succ(None)
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return Result.faild("Edit Faild!")
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return Result.faild(msg="Edit Faild!")
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@ -21,6 +21,12 @@ class ChatDbRounds(BaseModel):
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round_name: str
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class ChartList(BaseModel):
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round: int
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db_name: str
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charts: List
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class ChartDetail(BaseModel):
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chart_uid: str
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chart_type: str
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@ -34,24 +40,25 @@ class ChartDetail(BaseModel):
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class ChatChartEditContext(BaseModel):
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conv_uid: str
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conv_round: int
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chart_uid: str
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chart_title: str
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db_name: str
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old_sql: str
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new_sql: str
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comment: str
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gmt_create: int
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new_view_info: str
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new_chart_type: str
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new_sql: str
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new_comment: str
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gmt_create: int
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class ChatSqlEditContext(BaseModel):
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conv_uid: str
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db_name: str
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conv_round: int
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old_sql: str
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new_sql: str
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comment: str
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old_speak: str
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gmt_create: int
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new_sql: str
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new_speak: str
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new_view_info: str
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@ -10,6 +10,7 @@ from pilot.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 pilot.scene.chat_dashboard.prompt import prompt
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from pilot.scene.chat_dashboard.data_loader import DashboardDataLoader
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CFG = Config()
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@ -26,6 +27,7 @@ class ChatDashboard(BaseChat):
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chat_mode=ChatScene.ChatDashboard,
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chat_session_id=chat_session_id,
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current_user_input=user_input,
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select_param=db_name,
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)
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if not db_name:
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raise ValueError(f"{ChatScene.ChatDashboard.value} mode should choose db!")
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@ -33,7 +35,6 @@ class ChatDashboard(BaseChat):
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self.report_name = report_name
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self.database = CFG.LOCAL_DB_MANAGE.get_connect(db_name)
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self.db_connect = self.database.session
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self.top_k: int = 5
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self.dashboard_template = self.__load_dashboard_template(report_name)
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@ -78,7 +79,7 @@ class ChatDashboard(BaseChat):
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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(self.db_connect, chart_item.sql)
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field_names, values = dashboard_data_loader.get_chart_values_by_conn(self.database, chart_item.sql)
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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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@ -22,7 +22,7 @@ According to the characteristics of the analyzed data, choose the most suitable
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Pay attention to the length of the output content of the analysis result, do not exceed 4000tokens
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Give the correct {dialect} analysis SQL (don't use unprovided values such as 'paid'), analysis title, display method and summary of brief analysis thinking, and respond in the following json format:
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Give the correct {dialect} analysis SQL (don't use unprovided values such as 'paid'), analysis title(don't exist the same), display method and summary of brief analysis thinking, and respond in the following json format:
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{response}
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Ensure the response is correct json and can be parsed by Python json.loads
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"""
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@ -36,7 +36,6 @@ class ChatWithDbAutoExecute(BaseChat):
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)
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self.db_name = db_name
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self.database = CFG.LOCAL_DB_MANAGE.get_connect(db_name)
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self.db_connect = self.database.session
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self.top_k: int = 200
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def generate_input_values(self):
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@ -63,4 +62,4 @@ 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(self.db_connect, prompt_response.sql)
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return self.database.run( prompt_response.sql)
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@ -1,8 +0,0 @@
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import json
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class DbDataLoader:
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def get_table_view_by_conn(self, db_conn, chart_sql: str):
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pass
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@ -7,7 +7,7 @@ from pilot.utils import build_logger
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from pilot.out_parser.base import BaseOutputParser, T
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from pilot.configs.model_config import LOGDIR
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from pilot.configs.config import Config
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from pilot.scene.chat_db.data_loader import DbDataLoader
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CFG = Config()
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@ -36,6 +36,7 @@ class DbChatOutputParser(BaseOutputParser):
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def parse_view_response(self, speak, data) -> str:
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### tool out data to table view
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data_loader = DbDataLoader()
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if len(data) <= 1:
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data.insert(0, ["result"])
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df = pd.DataFrame(data[1:], columns=data[0])
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@ -45,13 +46,12 @@ class DbChatOutputParser(BaseOutputParser):
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</style>"""
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html_table = df.to_html(index=False, escape=False)
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html = f"<html><head>{table_style}</head><body>{html_table}</body></html>"
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view_text = f"##### {str(speak)}" + "\n" + html.replace("\n", " ")
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return view_text
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else:
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html_table = df.to_html(index=False, escape=False, sparsify=False)
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table_str = "".join(html_table.split())
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html = f"""<div class="w-full overflow-auto">{table_str}</div>"""
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return data_loader.get_table_view_by_conn(data, speak)
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view_text = f"##### {str(speak)}" + "\n" + html.replace("\n", " ")
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return view_text
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@property
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def _type(self) -> str:
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15
pilot/scene/chat_db/data_loader.py
Normal file
15
pilot/scene/chat_db/data_loader.py
Normal file
@ -0,0 +1,15 @@
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import pandas as pd
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class DbDataLoader:
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def get_table_view_by_conn(self, data, speak):
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### tool out data to table view
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if len(data) <= 1:
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data.insert(0, ["result"])
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df = pd.DataFrame(data[1:], columns=data[0])
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html_table = df.to_html(index=False, escape=False, sparsify=False)
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table_str = "".join(html_table.split())
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html = f"""<div class="w-full overflow-auto">{table_str}</div>"""
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view_text = f"##### {str(speak)}" + "\n" + html.replace("\n", " ")
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return view_text
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@ -1 +1 @@
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