mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
synced 2026-09-20 20:39:55 +00:00
zhangtao
73f2823692
1. 重构后端API路由、CRUD与模块结构，整合日志管理，移除废弃demo代码 2. 优化前端组件类型定义、样式与路由配置，修复权限判断逻辑 3. 调整默认排序规则、滚动条样式与工具类函数，更新依赖与配置文件 4. 修复多处类型不匹配与默认值问题，完善表单与菜单验证逻辑
71 lines
3.8 KiB
JSON
71 lines
3.8 KiB
JSON
[
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{
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"name": "演示任务",
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"code": "demo_job",
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"jobstore": "default",
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"executor": "default",
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"trigger": null,
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"trigger_args": null,
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"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",
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"args": null,
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"kwargs": null,
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"coalesce": false,
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"max_instances": 1,
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"start_date": null,
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"end_date": null,
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"status": 0,
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"description": "最简演示任务，用于验证调度器基本功能"
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},
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{
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"name": "数据库清理任务",
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"code": "db_cleanup",
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"jobstore": "sqlalchemy",
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"executor": "default",
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"trigger": null,
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"trigger_args": null,
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"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",
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"args": null,
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"kwargs": "{\"days\": 30}",
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"coalesce": true,
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"max_instances": 1,
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"start_date": null,
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"end_date": null,
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"status": 0,
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"description": "清理过期操作日志和临时数据，建议每天凌晨3点执行"
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},
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{
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"name": "健康检查任务",
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"code": "health_check",
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"jobstore": "default",
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"executor": "default",
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"trigger": null,
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"trigger_args": null,
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"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",
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"args": null,
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"kwargs": null,
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"coalesce": true,
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"max_instances": 1,
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"start_date": null,
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"end_date": null,
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"status": 0,
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"description": "系统资源健康检查，建议每5分钟执行一次"
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},
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{
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"name": "邮件批量发送",
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"code": "email_batch",
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"jobstore": "sqlalchemy",
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"executor": "default",
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"trigger": null,
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"trigger_args": null,
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"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",
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"args": null,
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"kwargs": "{\"batch_size\": 50}",
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"coalesce": false,
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"max_instances": 2,
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"start_date": null,
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"end_date": null,
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"status": 0,
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"description": "批量发送待发送邮件，建议每分钟执行一次"
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}
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]
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