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7b04d81074
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7b04d81074 | ||
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b74fb66939 | ||
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9bba83cfe6 |
@ -111,6 +111,14 @@ __plugin_meta__ = PluginMetadata(
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default_value=300,
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type=int,
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),
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RegisterConfig(
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module="SchedulerManager",
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key="DEFAULT_INTERVAL_SECONDS",
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value=0,
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help="为多目标定时任务设置的默认串行执行间隔秒数(大于0时生效),用于控制任务间的固定时间间隔。",
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default_value=0,
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type=int,
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),
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],
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).to_dict(),
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)
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@ -128,6 +128,11 @@ schedule_cmd = on_alconna(
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Args["spread_seconds", int],
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help_text="设置多目标执行的分散延迟(秒)",
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),
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Option(
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"--fixed-interval",
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Args["interval_seconds", int],
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help_text="设置任务间的固定执行间隔(秒),将强制串行",
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),
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Option(
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"--permission",
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Args["perm_level", int],
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@ -142,8 +147,8 @@ schedule_cmd = on_alconna(
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Subcommand(
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"删除",
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Args[
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"schedule_id?",
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int,
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"schedule_ids?",
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MultiVar(int),
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Field(unmatch_tips=lambda text: f"任务ID '{text}' 必须是数字!"),
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],
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*create_targeting_options(),
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@ -153,8 +158,8 @@ schedule_cmd = on_alconna(
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Subcommand(
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"暂停",
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Args[
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"schedule_id?",
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int,
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"schedule_ids?",
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MultiVar(int),
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Field(unmatch_tips=lambda text: f"任务ID '{text}' 必须是数字!"),
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],
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*create_targeting_options(),
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@ -164,8 +169,8 @@ schedule_cmd = on_alconna(
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Subcommand(
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"恢复",
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Args[
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"schedule_id?",
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int,
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"schedule_ids?",
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MultiVar(int),
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Field(unmatch_tips=lambda text: f"任务ID '{text}' 必须是数字!"),
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],
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*create_targeting_options(),
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@ -65,6 +65,7 @@ class SchedulerAdminService:
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job_name: str | None,
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jitter: int | None,
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spread: int | None,
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interval: int | None,
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created_by: str,
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) -> str:
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"""创建或更新一个定时任务"""
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@ -77,6 +78,8 @@ class SchedulerAdminService:
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execution_options["jitter"] = jitter
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if spread is not None:
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execution_options["spread"] = spread
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if interval is not None:
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execution_options["interval"] = interval
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for target_desc in targets:
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target_type, target_id = self._resolve_target_descriptor(target_desc)
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@ -158,7 +158,7 @@ async def GetTargeter(
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event: Event,
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bot: Bot,
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arp: Arparma = AlconnaMatches(),
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schedule_id: Match[int] = AlconnaMatch("schedule_id"),
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schedule_ids: Match[list[int]] = AlconnaMatch("schedule_ids"),
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plugin_name: Match[str] = AlconnaMatch("plugin_name"),
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group_ids: Match[list[str]] = AlconnaMatch("group_ids"),
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user_id: Match[str] = AlconnaMatch("user_id"),
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@ -172,8 +172,8 @@ async def GetTargeter(
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if not subcommand:
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await matcher.finish("内部错误:无法解析子命令。")
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if schedule_id.available:
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return scheduler_manager.target(id=schedule_id.result)
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if schedule_ids.available:
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return scheduler_manager.target(id__in=schedule_ids.result)
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all_enabled = arp.query(f"{subcommand}.all.value", False)
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global_flag = arp.query(f"{subcommand}.global.value", False)
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@ -63,6 +63,7 @@ async def handle_set(
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tag_name: Match[str] = AlconnaMatch("tag_name"),
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jitter: Match[int] = AlconnaMatch("jitter_seconds"),
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spread: Match[int] = AlconnaMatch("spread_seconds"),
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interval: Match[int] = AlconnaMatch("interval_seconds"),
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job_name: Match[str] = AlconnaMatch("job_name"),
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bot_id_to_operate: str = Depends(GetBotId),
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trigger_info: tuple[str, dict] = Depends(GetTriggerInfo),
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@ -74,6 +75,7 @@ async def handle_set(
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p_name = plugin_name.result
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jitter_val: int | None = jitter.result if jitter.available else None
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spread_val: int | None = spread.result if spread.available else None
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interval_val: int | None = interval.result if interval.available else None
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is_multi_target = (
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len(target_groups) > 1
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@ -100,6 +102,14 @@ async def handle_set(
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"SchedulerManager", "DEFAULT_SPREAD_SECONDS"
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)
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if interval_val is None:
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if task_meta and task_meta.get("default_interval") is not None:
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interval_val = cast(int | None, task_meta["default_interval"])
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else:
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interval_val = Config.get_config(
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"SchedulerManager", "DEFAULT_INTERVAL_SECONDS"
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)
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result_message = await scheduler_admin_service.set_schedule(
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targets=target_groups,
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creator_permission_level=creator_permission_level,
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@ -111,6 +121,7 @@ async def handle_set(
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job_name=job_name.result if job_name.available else None,
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jitter=jitter_val,
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spread=spread_val,
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interval=interval_val,
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created_by=session.user.id,
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)
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await MessageUtils.build_message(result_message).send()
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@ -46,7 +46,8 @@ class ScheduledJob(Model):
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consecutive_failures = fields.IntField(default=0, description="连续失败次数")
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execution_options = fields.JSONField(
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null=True,
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description="任务执行的额外选项 (例如: jitter, spread, concurrency_policy)",
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description="任务执行的额外选项 (例如: jitter, spread, "
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"interval, concurrency_policy)",
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)
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create_time = fields.DatetimeField(auto_now_add=True)
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@ -412,16 +412,44 @@ async def _execute_job(
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if isinstance(schedule.execution_options, dict)
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else {}
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)
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spread_seconds = spread_config.get("spread", 1.0)
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interval_seconds = spread_config.get("interval")
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async def worker(target_id: str | None):
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await asyncio.sleep(random.uniform(0.1, spread_seconds))
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async with semaphore:
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if interval_seconds is not None and interval_seconds > 0:
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logger.debug(
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f"任务 {schedule.id}: 使用串行模式执行 {len(resolved_targets)} "
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f"个目标,固定间隔 {interval_seconds} 秒。"
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)
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for i, target_id in enumerate(resolved_targets):
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if i > 0:
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logger.debug(
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f"任务 {schedule.id} 目标 [{target_id or '全局'}]: "
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f"等待 {interval_seconds} 秒后执行。"
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)
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await asyncio.sleep(interval_seconds)
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await _execute_single_job_instance(schedule, bot, group_id=target_id)
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else:
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spread_seconds = spread_config.get("spread", 1.0)
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tasks_to_run = [worker(target_id) for target_id in resolved_targets]
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if tasks_to_run:
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await asyncio.gather(*tasks_to_run, return_exceptions=True)
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logger.debug(
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f"任务 {schedule.id}: 将在 {spread_seconds:.2f} 秒内分散执行 "
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f"{len(resolved_targets)} 个目标。"
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)
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async def worker(target_id: str | None):
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delay = random.uniform(0.1, spread_seconds)
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logger.debug(
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f"任务 {schedule.id} 目标 [{target_id or '全局'}]: "
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f"随机延迟 {delay:.2f} 秒后执行。"
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)
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await asyncio.sleep(delay)
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async with semaphore:
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await _execute_single_job_instance(
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schedule, bot, group_id=target_id
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)
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tasks_to_run = [worker(target_id) for target_id in resolved_targets]
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if tasks_to_run:
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await asyncio.gather(*tasks_to_run, return_exceptions=True)
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schedule.last_run_at = datetime.now()
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schedule.last_run_status = "SUCCESS"
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@ -109,6 +109,7 @@ class SchedulerManager:
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policy: ExecutionPolicy | None = None,
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default_jitter: int | None = None,
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default_spread: int | None = None,
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default_interval: int | None = None,
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):
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"""
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声明式定时任务的统一装饰器。
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@ -140,6 +141,7 @@ class SchedulerManager:
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"model": params_model,
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"default_jitter": default_jitter,
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"default_spread": default_spread,
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"default_interval": default_interval,
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}
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job_kwargs = model_dump(default_params) if default_params else {}
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@ -205,6 +207,7 @@ class SchedulerManager:
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default_permission: int = 5,
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default_jitter: int | None = None,
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default_spread: int | None = None,
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default_interval: int | None = None,
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) -> Callable:
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"""
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注册可调度的任务函数
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@ -220,6 +223,7 @@ class SchedulerManager:
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"default_permission": default_permission,
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"default_jitter": default_jitter,
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"default_spread": default_spread,
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"default_interval": default_interval,
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}
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model_name = params_model.__name__ if params_model else "无"
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logger.debug(
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@ -468,9 +472,7 @@ class SchedulerManager:
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"required_permission": required_permission,
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"source": source,
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"is_one_off": is_one_off,
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"execution_options": model_dump(
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validated_options, exclude_none=True
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),
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"execution_options": model_dump(validated_options, exclude_none=True),
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}
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defaults = {k: v for k, v in defaults.items() if v is not None}
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@ -77,13 +77,19 @@ class Trigger:
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"""创建一个 Date 触发器配置。"""
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return DateTrigger(**kwargs)
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class ExecutionOptions(BaseModel):
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"""
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封装定时任务的执行策略,包括重试和回调。
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"""
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jitter: int | None = Field(None, description="触发时间抖动(秒)")
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spread: int | None = Field(None, description="多目标执行的分散延迟(秒)")
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spread: int | None = Field(
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None, description="(并发模式)多目标执行的最大分散延迟(秒)"
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)
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interval: int | None = Field(
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None, description="多目标执行的固定间隔(秒),设置后将强制串行执行"
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)
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concurrency_policy: Literal["ALLOW", "SKIP", "QUEUE"] = Field(
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"ALLOW", description="并发策略"
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)
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