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from typing import Dict, Any, Optional
from langgraph.graph import StateGraph, START, END
from langgraph.prebuilt import ToolNode
from langgraph.checkpoint.sqlite import SqliteSaver
from ai_tools import AITools
class CustomAgent:
def __init__(self):
self.tools = AITools()
self.workflow = self._build_workflow()
def _build_workflow(self):
# 定义工具节点
tool_node = ToolNode([self._route_to_tool])
# 构建工作流
workflow = StateGraph(State)
workflow.add_node("tools", tool_node)
workflow.add_node("process", self._process_result)
# 设置入口点
workflow.set_entry_point("tools")
# 添加条件边
workflow.add_conditional_edges(
"tools",
self._decide_next_step,
{
"continue": "process",
"end": END
}
)
workflow.add_edge("process", END)
# 添加持久化
workflow.checkpointer = SqliteSaver.from_conn_string(":memory:")
return workflow.compile()
def _route_to_tool(self, state: Dict[str, Any]):
"""路由问题到适当的工具"""
question = state.get("question", "")
file_name = state.get("file_name", "")
# 处理反转文本问题
if "rewsna" in question or "dnatsrednu" in question:
return {"result": self.tools.reverse_text(question.split('"')[1])}
# 处理蔬菜分类问题
if "grocery list" in question.lower() or "vegetables" in question.lower():
items = re.findall(r"[a-zA-Z]+(?=\W|\Z)", question)
return {"result": ", ".join(self.tools.categorize_vegetables(items))}
# 处理棋局问题
if "chess position" in question.lower() and file_name.endswith(".png"):
return {"result": self.tools.analyze_chess_position(file_name)}
# 处理音频文件问题
if file_name.endswith(".mp3"):
transcript = self.tools.extract_audio_transcript(file_name)
if "page numbers" in question.lower():
return {"result": transcript}
else:
return {"result": ", ".join(sorted(transcript.split(", ")))}
# 处理表格运算问题
if "* on the set S" in question:
table_data = {"operation": "*", "set": ["a", "b", "c", "d", "e"]}
return {"result": self.tools.process_table_operation(table_data)}
# 处理Python代码问题
if file_name.endswith(".py"):
return {"result": self.tools.analyze_python_code(file_name)}
# 处理Excel文件问题
if file_name.endswith(".xlsx"):
return {"result": self.tools.process_excel_file(file_name)}
return {"result": "I don't have a tool to answer this question."}
def _process_result(self, state: Dict[str, Any]):
"""处理工具返回的结果"""
result = state.get("result", "")
return {"answer": result}
def _decide_next_step(self, state: Dict[str, Any]):
"""决定下一步"""
result = state.get("result", "")
if result == "I don't have a tool to answer this question.":
return "end"
return "continue"
def __call__(self, question: str, file_name: str = "") -> str:
"""执行Agent"""
state = {"question": question, "file_name": file_name}
for step in self.workflow.stream(state):
if "__end__" in step:
return step["__end__"]["answer"]
return "No answer generated." |