feat(agent):Fix agent bug (#1953)

Co-authored-by: aries_ckt <916701291@qq.com>

dbgpt/agent/core/action/base.py

@@ -82,10 +82,10 @@ class ActionOutput(BaseModel):
 class Action(ABC, Generic[T]):
     """Base Action class for defining agent actions."""
 
-    def __init__(self):
+    def __init__(self, language: str = "en"):
         """Create an action."""
         self.resource: Optional[Resource] = None
-        self.language: str = "en"
+        self.language: str = language
 
     def init_resource(self, resource: Optional[Resource]):
         """Initialize the resource."""

dbgpt/agent/core/action/blank_action.py

@@ -12,9 +12,9 @@ logger = logging.getLogger(__name__)
 class BlankAction(Action):
     """Blank action class."""
 
-    def __init__(self):
-        """Create a blank action."""
-        super().__init__()
+    def __init__(self, **kwargs):
+        """Blank action init."""
+        super().__init__(**kwargs)
 
     @property
     def ai_out_schema(self) -> Optional[str]:

dbgpt/agent/core/agent_manage.py

@@ -127,9 +127,6 @@ class AgentManager(BaseComponent):
     def list_agents(self):
         """Return a list of all registered agents and their descriptions."""
         result = []
-        from datetime import datetime
-
-        logger.info(f"List Agent Begin:{datetime.now()}")
         for name, value in self._agents.items():
             result.append(
                 {
@@ -137,7 +134,6 @@ class AgentManager(BaseComponent):
                     "desc": value[1].goal,
                 }
             )
-        logger.info(f"List Agent End:{datetime.now()}")
         return result
 
 

dbgpt/agent/core/base_agent.py

@@ -673,7 +673,7 @@ class ConversableAgent(Role, Agent):
         self.actions = []
         for idx, action in enumerate(actions):
             if issubclass(action, Action):
-                self.actions.append(action())
+                self.actions.append(action(language=self.language))
 
     async def _a_append_message(
         self, message: AgentMessage, role, sender: Agent

dbgpt/agent/core/plan/plan_action.py

@@ -40,7 +40,7 @@ class PlanAction(Action[List[PlanInput]]):
 
     def __init__(self, **kwargs):
         """Create a plan action."""
-        super().__init__()
+        super().__init__(**kwargs)
         self._render_protocol = VisAgentPlans()
 
     @property

dbgpt/agent/expand/actions/chart_action.py

@@ -31,9 +31,9 @@ class SqlInput(BaseModel):
 class ChartAction(Action[SqlInput]):
     """Chart action class."""
 
-    def __init__(self):
-        """Create a chart action."""
-        super().__init__()
+    def __init__(self, **kwargs):
+        """Chart action init."""
+        super().__init__(**kwargs)
         self._render_protocol = VisChart()
 
     @property

dbgpt/agent/expand/actions/code_action.py

@@ -16,9 +16,9 @@ logger = logging.getLogger(__name__)
 class CodeAction(Action[None]):
     """Code Action Module."""
 
-    def __init__(self):
-        """Create a code action."""
-        super().__init__()
+    def __init__(self, **kwargs):
+        """Code action init."""
+        super().__init__(**kwargs)
         self._render_protocol = VisCode()
         self._code_execution_config = {}
 

dbgpt/agent/expand/actions/dashboard_action.py

@@ -39,9 +39,9 @@ class ChartItem(BaseModel):
 class DashboardAction(Action[List[ChartItem]]):
     """Dashboard action class."""
 
-    def __init__(self):
-        """Create a dashboard action."""
-        super().__init__()
+    def __init__(self, **kwargs):
+        """Dashboard action init."""
+        super().__init__(**kwargs)
         self._render_protocol = VisDashboard()
 
     @property

dbgpt/agent/expand/actions/indicator_action.py

@@ -41,9 +41,9 @@ class IndicatorInput(BaseModel):
 class IndicatorAction(Action[IndicatorInput]):
     """Indicator Action."""
 
-    def __init__(self):
-        """Init Indicator Action."""
-        super().__init__()
+    def __init__(self, **kwargs):
+        """Init indicator action."""
+        super().__init__(**kwargs)
         self._render_protocol = VisApiResponse()
 
     @property

dbgpt/agent/expand/actions/tool_action.py

@@ -34,9 +34,9 @@ class ToolInput(BaseModel):
 class ToolAction(Action[ToolInput]):
     """Tool action class."""
 
-    def __init__(self):
-        """Create a plugin action."""
-        super().__init__()
+    def __init__(self, **kwargs):
+        """Tool action init."""
+        super().__init__(**kwargs)
         self._render_protocol = VisPlugin()
 
     @property

dbgpt/agent/resource/knowledge.py

@@ -73,8 +73,8 @@ class RetrieverResource(Resource[ResourceParameters]):
         prompt_template = f"\nResources-{self.name}:\n {content}"
         prompt_template_zh = f"\n资源-{self.name}:\n {content}"
         if lang == "en":
-            return prompt_template.format(content=content), self._get_references(chunks)
-        return prompt_template_zh.format(content=content), self._get_references(chunks)
+            return prompt_template, self._get_references(chunks)
+        return prompt_template_zh, self._get_references(chunks)
 
     async def get_resources(
         self,

dbgpt/app/openapi/api_v1/api_v1.py

@@ -548,6 +548,17 @@ async def chat_completions(
                     headers=headers,
                     media_type="text/plain",
                 )
+    except Exception as e:
+        logger.exception(f"Chat Exception!{dialogue}", e)
+
+        async def error_text(err_msg):
+            yield f"data:{err_msg}\n\n"
+
+        return StreamingResponse(
+            error_text(str(e)),
+            headers=headers,
+            media_type="text/plain",
+        )
     finally:
         # write to recent usage app.
         if dialogue.user_name is not None and dialogue.app_code is not None:

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

@@ -34,6 +34,8 @@ class ChatExcel(BaseChat):
         """
 
         self.select_param = chat_param["select_param"]
+        if not self.select_param:
+            raise ValueError("Please upload the Excel document you want to talk to！")
         self.model_name = chat_param["model_name"]
         chat_param["chat_mode"] = ChatScene.ChatExcel
         self.chat_param = chat_param

dbgpt/app/scene/chat_data/chat_excel/excel_reader.py

@@ -230,7 +230,7 @@ def is_chinese(text):
 
 
 class ExcelReader:
-    def __init__(self, conv_uid, file_param):
+    def __init__(self, conv_uid: str, file_param: str):
         self.conv_uid = conv_uid
         self.file_param = file_param
         if isinstance(file_param, str) and os.path.isabs(file_param):

dbgpt/datasource/manages/connect_config_db.py

@@ -214,10 +214,15 @@ class ConnectConfigDao(BaseDao):
     def get_db_list(self, db_name: Optional[str] = None, user_id: Optional[str] = None):
         """Get db list."""
         session = self.get_raw_session()
-        if db_name:
+        if db_name and user_id:
             sql = f"SELECT * FROM connect_config where (user_id='{user_id}' or user_id='' or user_id IS NULL) and db_name='{db_name}'"  # noqa
-        else:
+        elif user_id:
             sql = f"SELECT * FROM connect_config where user_id='{user_id}' or user_id='' or user_id IS NULL"  # noqa
+        elif db_name:
+            sql = f"SELECT * FROM connect_config where  db_name='{db_name}'"  # noqa
+        else:
+            sql = f"SELECT * FROM connect_config"  # noqa
+
         result = session.execute(text(sql))
         fields = [field[0] for field in result.cursor.description]  # type: ignore
         data = []

dbgpt/serve/agent/agents/expand/actions/app_start_action.py

@@ -50,6 +50,7 @@ class StartAppAction(Action[LinkAppInput]):
         **kwargs,
     ) -> ActionOutput:
         conv_id = kwargs.get("conv_id")
+        user_input = kwargs.get("user_input")
         paren_agent = kwargs.get("paren_agent")
         init_message_rounds = kwargs.get("init_message_rounds")
 
@@ -83,7 +84,7 @@ class StartAppAction(Action[LinkAppInput]):
                 from dbgpt.serve.agent.agents.controller import multi_agents
 
                 await multi_agents.agent_team_chat_new(
-                    new_user_input,
+                    new_user_input if new_user_input else user_input,
                     conv_id,
                     gpts_app,
                     paren_agent.memory,

dbgpt/serve/agent/agents/expand/actions/intent_recognition_action.py

@@ -54,18 +54,28 @@ class IntentRecognitionAction(Action[IntentRecognitionInput]):
 
     @property
     def ai_out_schema(self) -> Optional[str]:
-        out_put_schema = {
-            "intent": "[The recognized intent is placed here]",
-            "app_code": "[App code in selected intent]",
-            "slots": {"意图定义中槽位属性1": "具体值", "意图定义中槽位属性2": "具体值"},
-            "ask_user": "If you want the user to supplement slot data, ask the user a question",
-            "user_input": "[Complete instructions generated based on intent and slot]",
-        }
         if self.language == "en":
+            out_put_schema = {
+                "intent": "[The recognized intent is placed here]",
+                "app_code": "[App code in selected intent]",
+                "slots": {
+                    "Slot attribute 1 in intent definition": "value",
+                    "Slot attribute 2 in intent definition": "value",
+                },
+                "ask_user": "[If you want the user to supplement slot data, ask the user a question]",
+                "user_input": "[Complete instructions generated based on intent and slot]",
+            }
             return f"""Please reply in the following json format:
                 {json.dumps(out_put_schema, indent=2, ensure_ascii=False)}
             Make sure the output is only json and can be parsed by Python json.loads."""  # noqa: E501
         else:
+            out_put_schema = {
+                "intent": "选择的意图放在这里",
+                "app_code": "选择意图对应的Appcode值",
+                "slots": {"意图定义中槽位属性1": "具体值", "意图定义中槽位属性2": "具体值"},
+                "ask_user": "如果需要用户补充槽位属性的具体值,请向用户进行提问",
+                "user_input": "根据意图和槽位生成完整指令问题",
+            }
             return f"""请按如下JSON格式输出:
             {json.dumps(out_put_schema, indent=2, ensure_ascii=False)}
             确保输出只有json，且可以被python json.loads加载."""

dbgpt/storage/knowledge_graph/community/community_store.py

@@ -32,21 +32,17 @@ class CommunityStore:
 
     async def build_communities(self):
         """Discover communities."""
-        community_ids = await (self._community_store_adapter.discover_communities())
+        community_ids = await self._community_store_adapter.discover_communities()
 
         # summarize communities
         communities = []
         for community_id in community_ids:
-            community = await (
-                self._community_store_adapter.get_community(community_id)
-            )
+            community = await self._community_store_adapter.get_community(community_id)
             graph = community.data.format()
             if not graph:
                 break
 
-            community.summary = await (
-                self._community_summarizer.summarize(graph=graph)
-            )
+            community.summary = await self._community_summarizer.summarize(graph=graph)
             communities.append(community)
             logger.info(
                 f"Summarize community {community_id}: " f"{community.summary[:50]}..."