"""运行定时服务工具"""

from typing import Optional, Type

from pydantic import BaseModel, Field

from app.agent.tools.base import MoviePilotTool
from app.log import logger


class RunSchedulerInput(BaseModel):
    """运行定时服务工具的输入参数模型"""

    explanation: str = Field(
        ...,
        description="Clear explanation of why this tool is being used in the current context",
    )
    job_id: str = Field(
        ...,
        description="The ID of the scheduled job to run (can be obtained from query_schedulers tool)",
    )


class RunSchedulerTool(MoviePilotTool):
    name: str = "run_scheduler"
    description: str = "Manually trigger a scheduled task to run immediately. This will execute the specified scheduler job by its ID."
    args_schema: Type[BaseModel] = RunSchedulerInput
    require_admin: bool = True

    def get_tool_message(self, **kwargs) -> Optional[str]:
        """根据运行参数生成友好的提示消息"""
        job_id = kwargs.get("job_id", "")
        return f"运行定时服务 (ID: {job_id})"

    @staticmethod
    def _run_scheduler_sync(job_id: str) -> tuple[bool, str]:
        """同步触发定时服务，避免调度器扫描阻塞事件循环。"""
        from app.scheduler import Scheduler

        scheduler = Scheduler()
        for scheduler_item in scheduler.list():
            if scheduler_item.id == job_id:
                scheduler.start(job_id)
                return True, scheduler_item.name
        return False, ""

    async def run(self, job_id: str, **kwargs) -> str:
        logger.info(f"执行工具: {self.name}, 参数: job_id={job_id}")

        try:
            job_exists, job_name = await self.run_blocking(
                "workflow", self._run_scheduler_sync, job_id
            )
            if not job_exists:
                return f"定时服务 ID {job_id} 不存在，请使用 query_schedulers 工具查询可用的定时服务"

            return f"成功触发定时服务：{job_name} (ID: {job_id})"
        except Exception as e:
            logger.error(f"运行定时服务失败: {e}", exc_info=True)
            return f"运行定时服务时发生错误: {str(e)}"