style(workflow): enforce PEP8 style and remove redundant imports

api/app/core/workflow/nodes/code/node.py

@@ -7,7 +7,6 @@ from textwrap import dedent
 from typing import Any
 
 import httpx
-from sympy.physics.vector import vlatex
 
 from app.core.workflow.nodes import BaseNode, WorkflowState
 from app.core.workflow.nodes.base_config import VariableType

api/app/core/workflow/nodes/cycle_graph/iteration.py

@@ -1,5 +1,4 @@
 import asyncio
-import copy
 import logging
 import re
 from typing import Any

api/app/core/workflow/nodes/cycle_graph/node.py

@@ -6,7 +6,6 @@ from langgraph.graph.state import CompiledStateGraph
 
 from app.core.workflow.nodes import WorkflowState
 from app.core.workflow.nodes.base_node import BaseNode
-from app.core.workflow.nodes.cycle_graph.config import LoopNodeConfig, IterationNodeConfig
 from app.core.workflow.nodes.cycle_graph.iteration import IterationRuntime
 from app.core.workflow.nodes.cycle_graph.loop import LoopRuntime
 from app.core.workflow.nodes.enums import NodeType

api/app/core/workflow/nodes/if_else/node.py

@@ -13,7 +13,7 @@ logger = logging.getLogger(__name__)
 class IfElseNode(BaseNode):
     def __init__(self, node_config: dict[str, Any], workflow_config: dict[str, Any]):
         super().__init__(node_config, workflow_config)
-        self.typed_config: IfElseNodeConfig | None= None
+        self.typed_config: IfElseNodeConfig | None = None
 
     @staticmethod
     def _evaluate(operator, instance: CompareOperatorInstance) -> Any:

api/app/core/workflow/nodes/memory/config.py

@@ -1,8 +1,6 @@
-import uuid
 from uuid import UUID
 
 from pydantic import Field
-from typing import Literal
 
 from app.core.workflow.nodes.base_config import BaseNodeConfig
 

api/app/core/workflow/nodes/memory/node.py

@@ -24,7 +24,7 @@ class MemoryReadNode(BaseNode):
             return await MemoryAgentService().read_memory(
                 end_user_id=end_user_id,
                 message=self._render_template(self.typed_config.message, state),
-                config_id=str(self.typed_config.config_id),
+                config_id=self.typed_config.config_id,
                 search_switch=self.typed_config.search_switch,
                 history=[],
                 db=db,

api/app/core/workflow/nodes/question_classifier/config.py

@@ -5,6 +5,7 @@ from pydantic import Field, BaseModel
 
 from app.core.workflow.nodes.base_config import BaseNodeConfig
 
+
 class ClassifierConfig(BaseModel):
     """分类器节点配置"""
 

api/app/core/workflow/nodes/question_classifier/node.py

@@ -78,7 +78,8 @@ class QuestionClassifierNode(BaseNode):
         if not question:
             logger.warning(
                 f"节点 {self.node_id} 未获取到输入问题，使用默认分支"
-                f"（默认分支：{DEFAULT_EMPTY_QUESTION_CASE}，分类总数：{category_count}）"
+                f"(默认分支:{DEFAULT_EMPTY_QUESTION_CASE}"
+                f"分类总数: {category_count})"
             )
             # 若分类列表为空，返回默认unknown分支，否则返回CASE1
             if category_count > 0:

api/app/core/workflow/nodes/tool/node.py

@@ -79,7 +79,7 @@ class ToolNode(BaseNode):
         else:
             logger.error(f"节点 {self.node_id} 工具执行失败: {result.error}")
             return {
-                "data": result.error if isinstance(result.error, str) else  json.dumps(result.error, ensure_ascii=False),
+                "data": result.error if isinstance(result.error, str) else json.dumps(result.error, ensure_ascii=False),
                 "error_code": result.error_code,
                 "execution_time": result.execution_time
             }