mirror of
https://github.com/jxxghp/MoviePilot.git
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91 lines
3.3 KiB
Python
91 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.agent.tools.tags import ToolTag
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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: Optional[str] = Field(None,
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description="Clear explanation of why this tool is being used in the current context",)
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workflow_id: int = Field(
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..., description="Workflow ID (can be obtained from query_workflows tool)"
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)
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from_begin: Optional[bool] = Field(
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True,
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description="Whether to run workflow from the beginning (default: True, if False will continue from last executed action)",
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)
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class RunWorkflowTool(MoviePilotTool):
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name: str = "run_workflow"
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tags: list[str] = [
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ToolTag.Write,
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ToolTag.Workflow,
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ToolTag.Admin,
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]
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description: str = "Execute a specific workflow manually by workflow ID. 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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require_admin: bool = True
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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_id = kwargs.get("workflow_id")
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from_begin = kwargs.get("from_begin", True)
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message = f"执行工作流: {workflow_id}"
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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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@staticmethod
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def _run_workflow_sync(
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workflow_id: int, from_begin: Optional[bool] = True
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) -> tuple[bool, str]:
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"""同步执行工作流，放到专用线程池避免长流程阻塞 API 响应。"""
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return WorkflowChain().process(workflow_id, from_begin=from_begin)
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async def run(
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self, workflow_id: int, from_begin: Optional[bool] = True, **kwargs
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) -> str:
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logger.info(
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f"执行工具: {self.name}, 参数: workflow_id={workflow_id}, from_begin={from_begin}"
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)
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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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workflow = await workflow_oper.async_get(workflow_id)
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if not workflow:
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return f"未找到工作流：{workflow_id}，请使用 query_workflows 工具查询可用的工作流"
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# 工作流执行链路包含大量同步步骤，统一放到 workflow 线程池。
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state, errmsg = await self.run_blocking(
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"workflow",
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self._run_workflow_sync,
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workflow.id,
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from_begin,
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)
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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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