fix: typo error fix (#1228)

Author: csunny

dbgpt/_private/config.py

@@ -133,8 +133,8 @@ def __init__(self) -> None:
         ### Related configuration of built-in commands
         self.command_registry = []
 
-        ### Relate configuration of disply commands
-        self.command_disply = []
+        ### Relate configuration of display commands
+        self.command_dispaly = []
 
         disabled_command_categories = os.getenv("DISABLED_COMMAND_CATEGORIES")
         if disabled_command_categories:

dbgpt/agent/actions/chart_action.py

@@ -65,7 +65,7 @@ async def a_run(
                     "There is no implementation class bound to database resource execution！"
                 )
             data_df = await resource_db_client.a_query_to_df(resource.value, param.sql)
-            view = await self.render_protocal.disply(
+            view = await self.render_protocal.display(
                 chart=json.loads(param.json()), data_df=data_df
             )
             return ActionOutput(

dbgpt/agent/actions/code_action.py

@@ -65,7 +65,7 @@ async def a_run(
             param["language"] = code_blocks[0][0]
             param["code"] = code_blocks
             param["log"] = logs
-            view = await self.render_protocal.disply(content=param)
+            view = await self.render_protocal.display(content=param)
             return ActionOutput(is_exe_success=exit_success, content=content, view=view)
         except Exception as e:
             logger.exception("Code Action Run Failed！")

dbgpt/agent/actions/dashboard_action.py

@@ -82,7 +82,7 @@ async def a_run(
                     logger.warn(f"Sql excute Failed！{str(e)}")
                     chart_dict["err_msg"] = str(e)
                 chart_params.append(chart_dict)
-            view = await self.render_protocal.disply(charts=chart_params)
+            view = await self.render_protocal.display(charts=chart_params)
             return ActionOutput(
                 is_exe_success=True,
                 content=json.dumps([chart_item.dict() for chart_item in chart_items]),

dbgpt/agent/actions/indicator_action.py

@@ -118,7 +118,7 @@ async def a_run(
                 "err_msg": err_msg,
             }
 
-            view = await self.render_protocal.disply(content=plugin_param)
+            view = await self.render_protocal.display(content=plugin_param)
 
             return ActionOutput(
                 is_exe_success=response_success, content=response.text, view=view

dbgpt/agent/actions/plugin_action.py

@@ -106,7 +106,7 @@ async def a_run(
                 "err_msg": err_msg,
             }
 
-            view = await self.render_protocal.disply(content=plugin_param)
+            view = await self.render_protocal.display(content=plugin_param)
 
             return ActionOutput(
                 is_exe_success=response_success, content=tool_result, view=view

dbgpt/agent/agents/expand/dashboard_assistant_agent.py

@@ -2,7 +2,7 @@
 from typing import Callable, Dict, List, Literal, Optional, Union
 
 from dbgpt.agent.actions.dashboard_action import DashboardAction
-from dbgpt.agent.plugin.commands.command_mange import ApiCall
+from dbgpt.agent.plugin.commands.command_manage import ApiCall
 from dbgpt.util.json_utils import find_json_objects
 
 from ...memory.gpts_memory import GptsMemory

dbgpt/agent/agents/expand/retrieve_summary_assistant_agent.py

@@ -15,7 +15,7 @@
 from dbgpt.agent.agents.agent import Agent, AgentContext
 from dbgpt.agent.agents.base_agent import ConversableAgent
 from dbgpt.agent.memory.gpts_memory import GptsMemory
-from dbgpt.agent.plugin.commands.command_mange import ApiCall
+from dbgpt.agent.plugin.commands.command_manage import ApiCall
 from dbgpt.configs.model_config import PILOT_PATH
 from dbgpt.core.interface.message import ModelMessageRoleType
 

dbgpt/agent/memory/gpts_memory.py

@@ -102,11 +102,11 @@ async def _messages_to_agents_vis(self, messages: List[GptsMessage]):
                     "markdown": view_info,
                 }
             )
-        return await vis_client.get(VisAgentMessages.vis_tag()).disply(
+        return await vis_client.get(VisAgentMessages.vis_tag()).display(
             content=messages_view
         )
 
     async def _messages_to_plan_vis(self, messages: List[Dict]):
         if messages is None or len(messages) <= 0:
             return ""
-        return await vis_client.get(VisAgentPlans.vis_tag()).disply(content=messages)
+        return await vis_client.get(VisAgentPlans.vis_tag()).display(content=messages)

dbgpt/agent/plugin/commands/built_in/audio_text.py

@@ -5,7 +5,7 @@
 
 from dbgpt._private.config import Config
 
-from ..command_mange import command
+from ..command_manage import command
 
 CFG = Config()
 

dbgpt/agent/plugin/commands/built_in/disply_type/__init__.py dbgpt/agent/plugin/commands/built_in/display_type/__init__.py

@@ -13,7 +13,7 @@
 from dbgpt.configs.model_config import PILOT_PATH
 from dbgpt.util.string_utils import is_scientific_notation
 
-from ...command_mange import command
+from ...command_manage import command
 
 matplotlib.use("Agg")
 

dbgpt/agent/plugin/commands/built_in/disply_type/show_chart_gen.py dbgpt/agent/plugin/commands/built_in/display_type/show_chart_gen.py

@@ -2,7 +2,7 @@
 
 from pandas import DataFrame
 
-from ...command_mange import command
+from ...command_manage import command
 
 logger = logging.getLogger(__name__)
 

dbgpt/agent/plugin/commands/built_in/disply_type/show_table_gen.py dbgpt/agent/plugin/commands/built_in/display_type/show_table_gen.py

@@ -2,7 +2,7 @@
 
 from pandas import DataFrame
 
-from ...command_mange import command
+from ...command_manage import command
 
 logger = logging.getLogger(__name__)
 

dbgpt/agent/plugin/commands/built_in/disply_type/show_text_gen.py dbgpt/agent/plugin/commands/built_in/display_type/show_text_gen.py

@@ -9,7 +9,7 @@
 
 from dbgpt._private.config import Config
 
-from ..command_mange import command
+from ..command_manage import command
 
 logger = logging.getLogger(__name__)
 CFG = Config()

dbgpt/agent/plugin/commands/built_in/image_gen.py

@@ -2,7 +2,7 @@
 import os
 from typing import Optional
 
-from dbgpt.agent.plugin.commands.command_mange import execute_command
+from dbgpt.agent.plugin.commands.command_manage import execute_command
 from dbgpt.agent.plugin.generator import PluginPromptGenerator
 from dbgpt.agent.plugin.plugins_util import scan_plugin_file, scan_plugins
 from dbgpt.agent.resource.resource_api import AgentResource

dbgpt/agent/plugin/commands/command_mange.py dbgpt/agent/plugin/commands/command_manage.py

@@ -31,7 +31,7 @@ def async_db_summary(system_app: SystemApp):
 
 
 def server_init(param: "WebServerParameters", system_app: SystemApp):
-    from dbgpt.agent.plugin.commands.command_mange import CommandRegistry
+    from dbgpt.agent.plugin.commands.command_manage import CommandRegistry
 
     # logger.info(f"args: {args}")
     # init config
@@ -58,15 +58,15 @@ def server_init(param: "WebServerParameters", system_app: SystemApp):
 
     cfg.command_registry = command_registry
 
-    command_disply_commands = [
-        "dbgpt.agent.plugin.commands.built_in.disply_type.show_chart_gen",
-        "dbgpt.agent.plugin.commands.built_in.disply_type.show_table_gen",
-        "dbgpt.agent.plugin.commands.built_in.disply_type.show_text_gen",
+    command_dispaly_commands = [
+        "dbgpt.agent.plugin.commands.built_in.display_type.show_chart_gen",
+        "dbgpt.agent.plugin.commands.built_in.display_type.show_table_gen",
+        "dbgpt.agent.plugin.commands.built_in.display_type.show_text_gen",
     ]
-    command_disply_registry = CommandRegistry()
-    for command in command_disply_commands:
-        command_disply_registry.import_commands(command)
-    cfg.command_disply = command_disply_registry
+    command_dispaly_registry = CommandRegistry()
+    for command in command_dispaly_commands:
+        command_dispaly_registry.import_commands(command)
+    cfg.command_display = command_dispaly_commands
 
 
 def _create_model_start_listener(system_app: SystemApp):

dbgpt/agent/resource/resource_plugin_api.py

@@ -101,7 +101,9 @@ def mount_routers(app: FastAPI):
 
 
 def mount_static_files(app: FastAPI):
-    from dbgpt.agent.plugin.commands.built_in.disply_type import static_message_img_path
+    from dbgpt.agent.plugin.commands.built_in.display_type import (
+        static_message_img_path,
+    )
 
     os.makedirs(static_message_img_path, exist_ok=True)
     app.mount(

dbgpt/app/base.py

@@ -2,7 +2,7 @@
 from typing import Dict, List
 
 from dbgpt._private.config import Config
-from dbgpt.agent.plugin.commands.command_mange import ApiCall
+from dbgpt.agent.plugin.commands.command_manage import ApiCall
 from dbgpt.agent.plugin.generator import PluginPromptGenerator
 from dbgpt.app.scene import BaseChat, ChatScene
 from dbgpt.component import ComponentType

dbgpt/app/dbgpt_server.py

@@ -3,7 +3,7 @@
 from typing import Dict
 
 from dbgpt._private.config import Config
-from dbgpt.agent.plugin.commands.command_mange import ApiCall
+from dbgpt.agent.plugin.commands.command_manage import ApiCall
 from dbgpt.app.scene import BaseChat, ChatScene
 from dbgpt.app.scene.chat_data.chat_excel.excel_learning.chat import ExcelLearning
 from dbgpt.app.scene.chat_data.chat_excel.excel_reader import ExcelReader
@@ -45,15 +45,15 @@ def __init__(self, chat_param: Dict):
                     KNOWLEDGE_UPLOAD_ROOT_PATH, chat_mode.value(), self.select_param
                 )
             )
-        self.api_call = ApiCall(display_registry=CFG.command_disply)
+        self.api_call = ApiCall(display_registry=CFG.command_display)
         super().__init__(chat_param=chat_param)
 
     @trace()
     async def generate_input_values(self) -> Dict:
         input_values = {
             "user_input": self.current_user_input,
             "table_name": self.excel_reader.table_name,
-            "disply_type": self._generate_numbered_list(),
+            "display_type": self._generate_numbered_list(),
         }
         return input_values
 

dbgpt/app/scene/chat_agent/chat.py

@@ -19,7 +19,7 @@
 
 Constraint:
     1.Please fully understand the user's problem and use duckdb sql for analysis. The analysis content is returned in the output format required below. Please output the sql in the corresponding sql parameter.
-    2.Please choose the best one from the display methods given below for data rendering, and put the type name into the name parameter value that returns the required format. If you cannot find the most suitable one, use 'Table' as the display method. , the available data display methods are as follows: {disply_type}
+    2.Please choose the best one from the display methods given below for data rendering, and put the type name into the name parameter value that returns the required format. If you cannot find the most suitable one, use 'Table' as the display method. , the available data display methods are as follows: {display_type}
     3.The table name that needs to be used in SQL is: {table_name}. Please check the sql you generated and do not use column names that are not in the data structure.
     4.Give priority to answering using data analysis. If the user's question does not involve data analysis, you can answer according to your understanding.
     5.The sql part of the output content is converted to: <api-call><name>[data display mode]</name><args><sql>[correct duckdb data analysis sql]</sql></args></api - call> For this format, please refer to the return format requirements.
@@ -36,7 +36,7 @@
 请使用历史对话中的数据结构信息，在满足下面约束条件下通过duckdb sql数据分析回答用户的问题。
 约束条件:
 	1.请充分理解用户的问题，使用duckdb sql的方式进行分析， 分析内容按下面要求的输出格式返回，sql请输出在对应的sql参数中
-	2.请从如下给出的展示方式种选择最优的一种用以进行数据渲染，将类型名称放入返回要求格式的name参数值种，如果找不到最合适的则使用'Table'作为展示方式，可用数据展示方式如下: {disply_type}
+	2.请从如下给出的展示方式种选择最优的一种用以进行数据渲染，将类型名称放入返回要求格式的name参数值种，如果找不到最合适的则使用'Table'作为展示方式，可用数据展示方式如下: {display_type}
 	3.SQL中需要使用的表名是: {table_name},请检查你生成的sql，不要使用没在数据结构中的列名
 	4.优先使用数据分析的方式回答，如果用户问题不涉及数据分析内容，你可以按你的理解进行回答
 	5.输出内容中sql部分转换为：<api-call><name>[数据显示方式]</name><args><sql>[正确的duckdb数据分析sql]</sql></args></api- call> 这样的格式，参考返回格式要求

dbgpt/app/scene/chat_data/chat_excel/excel_analyze/chat.py

@@ -1,7 +1,7 @@
 from typing import Dict
 
 from dbgpt._private.config import Config
-from dbgpt.agent.plugin.commands.command_mange import ApiCall
+from dbgpt.agent.plugin.commands.command_manage import ApiCall
 from dbgpt.app.scene import BaseChat, ChatScene
 from dbgpt.util.executor_utils import blocking_func_to_async
 from dbgpt.util.tracer import root_tracer, trace
@@ -40,7 +40,7 @@ def __init__(self, chat_param: Dict):
             self.database = CFG.LOCAL_DB_MANAGE.get_connect(self.db_name)
 
         self.top_k: int = 50
-        self.api_call = ApiCall(display_registry=CFG.command_disply)
+        self.api_call = ApiCall(display_registry=CFG.command_display)
 
     @trace()
     async def generate_input_values(self) -> Dict:

dbgpt/app/scene/chat_data/chat_excel/excel_analyze/prompt.py

@@ -105,7 +105,7 @@ async def a_run(
                         f"- {item.serial_number}.{item.content}[{item.agent}]"
                     )
 
-                # view = await self.render_protocal.disply(content=plan_content)
+                # view = await self.render_protocal.display(content=plan_content)
                 view = "\n".join(mk_plans)
                 return ActionOutput(
                     is_exe_success=True,

dbgpt/app/scene/chat_db/auto_execute/chat.py

@@ -20,7 +20,7 @@ async def generate_param(self, **kwargs) -> Optional[str]:
         """
         return kwargs["content"]
 
-    async def disply(self, **kwargs) -> Optional[str]:
+    async def display(self, **kwargs) -> Optional[str]:
         return f"```{self.vis_tag()}\n{json.dumps(await self.generate_param(**kwargs), default=serialize, ensure_ascii=False)}\n```"
 
     @classmethod