b972b64616
- 删除 ValidationQueue 双轨持久化队列，替换为纯内存 AsyncWorkerPool - 引入统一后台任务框架 JobExecutor（Job/CrawlJob/ValidateAllJob） - 新增 PluginRunner 统一插件执行（超时、重试、健康检查、统计） - 重构 SchedulerService 职责收敛为仅定时触发 ValidateAllJob - 使用 AsyncExitStack 重构 lifespan，安全管理长生命周期资源 - 路由层瘦身 50%+，业务异常上抛由全局中间件统一处理 - 实现设置全热更新（WorkerPool 并发、Validator 超时即时生效） - 前端 Store 强制写后重新拉取，消除乐观更新数据不同步 - 删除 queue.py / task_repo.py / task_service.py - 新增 execution 单元测试，全部 85 个测试通过
53 lines
2.0 KiB
Python
53 lines
2.0 KiB
Python
"""调度器相关路由"""
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from fastapi import APIRouter, Depends
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from app.services.scheduler_service import SchedulerService
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from app.repositories.settings_repo import SettingsRepository
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from app.core.db import get_db
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from app.api.deps import get_scheduler_service
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from app.api.common import success_response
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router = APIRouter(prefix="/api/scheduler", tags=["scheduler"])
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settings_repo = SettingsRepository()
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async def _save_auto_validate_setting(enabled: bool):
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"""保存自动验证设置"""
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async with get_db() as db:
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settings = await settings_repo.get_all(db)
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settings["auto_validate"] = enabled
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from app.models.schemas import SettingsSchema
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await settings_repo.save(db, SettingsSchema(**settings).model_dump())
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@router.post("/start")
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async def start_scheduler(scheduler: SchedulerService = Depends(get_scheduler_service)):
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if scheduler.running:
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return success_response("验证调度器已在运行", {"running": True})
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await scheduler.start()
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await _save_auto_validate_setting(True)
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return success_response("验证调度器已启动", {"running": True})
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@router.post("/stop")
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async def stop_scheduler(scheduler: SchedulerService = Depends(get_scheduler_service)):
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if not scheduler.running:
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return success_response("验证调度器未运行", {"running": False})
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await scheduler.stop()
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await _save_auto_validate_setting(False)
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return success_response("验证调度器已停止", {"running": False})
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@router.post("/validate-now")
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async def validate_now(scheduler: SchedulerService = Depends(get_scheduler_service)):
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job_id = scheduler.validate_all_now()
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return success_response("已开始全量验证", {"started": True, "job_id": job_id})
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@router.get("/status")
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async def scheduler_status(scheduler: SchedulerService = Depends(get_scheduler_service)):
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return success_response(
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"获取状态成功",
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{"running": scheduler.running, "interval_minutes": scheduler.interval_minutes},
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)
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