[
  {
    "name": "演示任务",
    "code": "demo_job",
    "jobstore": "default",
    "executor": "default",
    "trigger": null,
    "trigger_args": null,
    "func": "import logging\n\ndef handler(*args, **kwargs):\n    \"\"\"演示任务：打印参数并返回执行摘要\"\"\"\n    logger = logging.getLogger(__name__)\n    logger.info(f\"演示任务执行中，参数: args={args}, kwargs={kwargs}\")\n    return {\n        \"status\": \"success\",\n        \"message\": \"演示任务执行成功\",\n        \"args_received\": len(args),\n        \"kwargs_keys\": list(kwargs.keys())\n    }\n",
    "args": null,
    "kwargs": null,
    "coalesce": false,
    "max_instances": 1,
    "start_date": null,
    "end_date": null,
    "status": 0,
    "description": "最简演示任务，用于验证调度器基本功能"
  },
  {
    "name": "数据库清理任务",
    "code": "db_cleanup",
    "jobstore": "sqlalchemy",
    "executor": "default",
    "trigger": null,
    "trigger_args": null,
    "func": "import logging\nfrom datetime import datetime, timedelta\n\ndef handler(*args, **kwargs):\n    \"\"\"清理过期数据：删除N天前的日志和临时数据\"\"\"\n    logger = logging.getLogger(__name__)\n    days = kwargs.get(\"days\", 90)\n    cutoff = datetime.now() - timedelta(days=days)\n    logger.info(f\"清理 {cutoff.strftime('%Y-%m-%d')} 之前的过期数据...\")\n    return {\n        \"status\": \"success\",\n        \"cutoff_date\": cutoff.strftime(\"%Y-%m-%d %H:%M:%S\"),\n        \"deleted_count\": 0\n    }\n",
    "args": null,
    "kwargs": "{\"days\": 30}",
    "coalesce": true,
    "max_instances": 1,
    "start_date": null,
    "end_date": null,
    "status": 0,
    "description": "清理过期操作日志和临时数据，建议每天凌晨3点执行"
  },
  {
    "name": "健康检查任务",
    "code": "health_check",
    "jobstore": "default",
    "executor": "default",
    "trigger": null,
    "trigger_args": null,
    "func": "import logging\nimport psutil\n\ndef handler(*args, **kwargs):\n    \"\"\"系统健康检查：采集 CPU、内存、磁盘使用率\"\"\"\n    logger = logging.getLogger(__name__)\n    cpu = psutil.cpu_percent(interval=1)\n    mem = psutil.virtual_memory()\n    disk = psutil.disk_usage(\"/\")\n    status = \"healthy\" if cpu < 80 and mem.percent < 90 and disk.percent < 90 else \"warning\"\n    logger.info(f\"健康检查: CPU={cpu}% MEM={mem.percent}% DISK={disk.percent}%\")\n    return {\n        \"status\": status,\n        \"cpu_percent\": cpu,\n        \"memory_percent\": mem.percent,\n        \"disk_percent\": disk.percent,\n        \"memory_total_gb\": round(mem.total / (1024**3), 1),\n        \"disk_total_gb\": round(disk.total / (1024**3), 1)\n    }\n",
    "args": null,
    "kwargs": null,
    "coalesce": true,
    "max_instances": 1,
    "start_date": null,
    "end_date": null,
    "status": 0,
    "description": "系统资源健康检查，建议每5分钟执行一次"
  },
  {
    "name": "邮件批量发送",
    "code": "email_batch",
    "jobstore": "sqlalchemy",
    "executor": "default",
    "trigger": null,
    "trigger_args": null,
    "func": "import logging\n\ndef handler(*args, **kwargs):\n    \"\"\"批量发送待发送邮件\"\"\"\n    logger = logging.getLogger(__name__)\n    batch_size = kwargs.get(\"batch_size\", 50)\n    logger.info(f\"开始批量发送邮件，每批 {batch_size} 封...\")\n    return {\n        \"status\": \"success\",\n        \"sent_count\": 0,\n        \"failed_count\": 0,\n        \"batch_size\": batch_size\n    }\n",
    "args": null,
    "kwargs": "{\"batch_size\": 50}",
    "coalesce": false,
    "max_instances": 2,
    "start_date": null,
    "end_date": null,
    "status": 0,
    "description": "批量发送待发送邮件，建议每分钟执行一次"
  }
]