mirror of
https://github.com/jxxghp/MoviePilot.git
synced 2026-02-08 13:06:16 +08:00
9cb79a7827
- Added `get_tool_message` method to `MoviePilotTool` and its subclasses for generating user-friendly execution messages based on parameters. - Improved message formatting for various tools, including `AddDownloadTool`, `AddSubscribeTool`, `DeleteDownloadTool`, and others, to provide clearer feedback during operations. - This enhancement allows for more personalized and informative messages, improving user experience during tool execution.
73 lines
3.3 KiB
Python
73 lines
3.3 KiB
Python
"""执行工作流工具"""
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from typing import Optional, Type
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from pydantic import BaseModel, Field
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from app.agent.tools.base import MoviePilotTool
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from app.chain.workflow import WorkflowChain
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from app.db import AsyncSessionFactory
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from app.db.workflow_oper import WorkflowOper
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from app.log import logger
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class RunWorkflowInput(BaseModel):
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"""执行工作流工具的输入参数模型"""
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explanation: str = Field(..., description="Clear explanation of why this tool is being used in the current context")
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workflow_identifier: str = Field(..., description="Workflow identifier: can be workflow ID (integer as string) or workflow name")
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from_begin: Optional[bool] = Field(True, description="Whether to run workflow from the beginning (default: True, if False will continue from last executed action)")
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class RunWorkflowTool(MoviePilotTool):
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name: str = "run_workflow"
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description: str = "Execute a specific workflow manually. Can run workflow by ID or name. Supports running from the beginning or continuing from the last executed action."
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args_schema: Type[BaseModel] = RunWorkflowInput
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def get_tool_message(self, **kwargs) -> Optional[str]:
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"""根据工作流参数生成友好的提示消息"""
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workflow_identifier = kwargs.get("workflow_identifier", "")
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from_begin = kwargs.get("from_begin", True)
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message = f"正在执行工作流: {workflow_identifier}"
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if not from_begin:
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message += " (从上次位置继续)"
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else:
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message += " (从头开始)"
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return message
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async def run(self, workflow_identifier: str,
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from_begin: Optional[bool] = True, **kwargs) -> str:
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logger.info(f"执行工具: {self.name}, 参数: workflow_identifier={workflow_identifier}, from_begin={from_begin}")
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try:
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# 获取数据库会话
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async with AsyncSessionFactory() as db:
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workflow_oper = WorkflowOper(db)
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# 尝试解析为工作流ID
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workflow = None
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if workflow_identifier.isdigit():
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# 如果是数字，尝试作为工作流ID查询
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workflow = await workflow_oper.async_get(int(workflow_identifier))
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# 如果不是ID或ID查询失败，尝试按名称查询
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if not workflow:
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workflow = await workflow_oper.async_get_by_name(workflow_identifier)
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if not workflow:
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return f"未找到工作流：{workflow_identifier}，请使用 query_workflows 工具查询可用的工作流"
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# 执行工作流
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workflow_chain = WorkflowChain()
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state, errmsg = workflow_chain.process(workflow.id, from_begin=from_begin)
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if not state:
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return f"执行工作流失败：{workflow.name} (ID: {workflow.id})\n错误原因：{errmsg}"
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else:
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return f"工作流执行成功：{workflow.name} (ID: {workflow.id})"
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except Exception as e:
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logger.error(f"执行工作流失败: {e}", exc_info=True)
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return f"执行工作流时发生错误: {str(e)}"
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