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* ♻️ refactor(scheduler): 重构定时任务系统并增强功能 - 【模型重命名】将 `ScheduleInfo` 模型及其数据库表重命名为 `ScheduledJob`，以提高语义清晰度。 - 【触发器抽象】引入 `Trigger` 工厂类，提供类型安全的 Cron、Interval 和 Date 触发器配置。 - 【执行策略】新增 `ExecutionPolicy` 模型，允许为定时任务定义重试策略、延迟、异常类型以及成功/失败回调。 - 【任务执行】重构任务执行逻辑，支持 NoneBot 的依赖注入，并根据 `ExecutionPolicy` 处理任务的重试和回调。 - 【临时任务】增加声明式和编程式的临时任务调度能力，支持非持久化任务在运行时动态创建和执行。 - 【管理命令】更新定时任务管理命令 (`schedule_admin`)，使其适配新的 `ScheduledJob` 模型和参数验证逻辑。 - 【展示优化】改进定时任务列表和状态展示，使用新的触发器格式化逻辑和参数模型信息。 - 【重试装饰器】为 `Retry.api` 装饰器添加 `on_success` 回调，允许在任务成功执行后触发额外操作。 * 🚨 auto fix by pre-commit hooks --------- Co-authored-by: webjoin111 <455457521@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
102 lines
3.7 KiB
Python
102 lines
3.7 KiB
Python
"""
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定时任务的生命周期管理
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包含在机器人启动时加载和调度数据库中保存的任务的逻辑。
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"""
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from zhenxun.services.log import logger
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from zhenxun.utils.manager.priority_manager import PriorityLifecycle
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from zhenxun.utils.pydantic_compat import model_dump
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from .adapter import APSchedulerAdapter
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from .job import ScheduleContext
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from .repository import ScheduleRepository
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from .service import scheduler_manager
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@PriorityLifecycle.on_startup(priority=90)
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async def _load_schedules_from_db():
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"""在服务启动时从数据库加载并调度所有任务。"""
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logger.info("正在从数据库加载并调度所有定时任务...")
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schedules = await ScheduleRepository.get_all_enabled()
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count = 0
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for schedule in schedules:
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if schedule.plugin_name in scheduler_manager._registered_tasks:
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APSchedulerAdapter.add_or_reschedule_job(schedule)
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count += 1
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else:
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logger.warning(f"跳过加载定时任务：插件 '{schedule.plugin_name}' 未注册。")
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logger.info(f"数据库定时任务加载完成，共成功加载 {count} 个任务。")
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logger.info("正在检查并注册声明式默认任务...")
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declared_count = 0
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for task_info in scheduler_manager._declared_tasks:
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plugin_name = task_info.plugin_name
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group_id = task_info.group_id
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bot_id = task_info.bot_id
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query_kwargs = {
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"plugin_name": plugin_name,
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"group_id": group_id,
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"bot_id": bot_id,
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}
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exists = await ScheduleRepository.exists(**query_kwargs)
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if not exists:
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logger.info(f"为插件 '{plugin_name}' 注册新的默认定时任务...")
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trigger_config_dict = model_dump(
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task_info.trigger, exclude={"trigger_type"}
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)
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schedule = await scheduler_manager.add_schedule(
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plugin_name=plugin_name,
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group_id=group_id,
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trigger_type=task_info.trigger.trigger_type,
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trigger_config=trigger_config_dict,
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job_kwargs=task_info.job_kwargs,
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bot_id=bot_id,
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)
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if schedule:
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declared_count += 1
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logger.debug(f"默认任务 '{plugin_name}' 注册成功 (ID: {schedule.id})")
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else:
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logger.error(f"默认任务 '{plugin_name}' 注册失败")
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else:
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logger.debug(f"插件 '{plugin_name}' 的默认任务已存在于数据库中，跳过注册。")
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if declared_count > 0:
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logger.info(f"声明式任务检查完成，新注册了 {declared_count} 个默认任务。")
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logger.info("正在调度声明式临时任务...")
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ephemeral_count = 0
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for declaration in scheduler_manager._ephemeral_declared_tasks:
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try:
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job_id = f"runtime::{declaration.plugin_name}::{declaration.func.__name__}"
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context = ScheduleContext(
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schedule_id=0,
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plugin_name=job_id,
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bot_id=None,
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group_id=None,
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job_kwargs={},
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)
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trigger_config_dict = model_dump(
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declaration.trigger, exclude={"trigger_type"}
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)
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APSchedulerAdapter.add_ephemeral_job(
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job_id=job_id,
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func=declaration.func,
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trigger_type=declaration.trigger.trigger_type,
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trigger_config=trigger_config_dict,
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context=context,
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)
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ephemeral_count += 1
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except Exception as e:
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logger.error(f"调度临时任务 '{declaration.plugin_name}' 失败", e=e)
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if ephemeral_count > 0:
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logger.info(f"临时任务调度完成，共成功加载 {ephemeral_count} 个任务。")
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