125 lines
3.5 KiB
Python
125 lines
3.5 KiB
Python
#!/usr/bin/env python3
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"""
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检查 Docker 容器状态
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"""
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import requests
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import time
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import hashlib
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# 禁用 SSL 警告
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import urllib3
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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# 宝塔配置
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BT_PANEL = "http://47.107.172.23:8888"
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BT_API_KEY = "PKdfnaInQL0P5ghB8SvwbrGcIpXWaEvq"
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DEPLOY_PATH = "/www/wwwroot/ai-interview"
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def bt_api(action, data=None, timeout=60):
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"""调用宝塔 API"""
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if data is None:
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data = {}
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request_time = int(time.time())
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request_token = hashlib.md5(
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f"{request_time}{hashlib.md5(BT_API_KEY.encode()).hexdigest()}".encode()
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).hexdigest()
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data['request_time'] = request_time
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data['request_token'] = request_token
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url = f"{BT_PANEL}/{action}"
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try:
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response = requests.post(url, data=data, timeout=timeout, verify=False)
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try:
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return response.json()
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except:
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return {"status": True, "msg": response.text[:2000]}
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except Exception as e:
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return {"status": False, "msg": str(e)}
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def run_and_get_log(shell_body, task_name):
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"""创建计划任务，运行并获取日志"""
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# 1. 创建任务
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result = bt_api("crontab?action=AddCrontab", {
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"name": task_name,
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"type": "minute-n",
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"where1": "1",
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"hour": "",
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"minute": "",
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"week": "",
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"sType": "toShell",
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"sBody": shell_body,
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"sName": "",
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"backupTo": "",
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"save": "",
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"urladdress": ""
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})
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if not result.get("status") or not result.get("id"):
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print(f"创建任务失败: {result}")
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return None
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cron_id = result["id"]
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print(f"任务创建成功，ID: {cron_id}")
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# 2. 执行任务
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bt_api("crontab?action=StartTask", {"id": cron_id}, timeout=120)
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print("任务已启动，等待执行...")
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time.sleep(10)
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# 3. 获取日志
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log_result = bt_api("crontab?action=GetLogs", {"id": cron_id})
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# 4. 删除任务
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bt_api("crontab?action=DelCrontab", {"id": cron_id})
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return log_result
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def main():
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print("=" * 60)
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print("🔍 检查 Docker 容器状态")
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print("=" * 60)
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print()
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# 检查命令
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check_script = f"""#!/bin/bash
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echo "========== Docker 容器状态 =========="
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docker ps -a
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echo ""
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echo "========== Docker Compose 状态 =========="
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cd {DEPLOY_PATH}/deploy && docker-compose ps 2>&1 || echo "docker-compose 未运行"
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echo ""
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echo "========== 后端容器日志 (最后 50 行) =========="
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docker logs --tail 50 ai-interview-backend 2>&1 || echo "后端容器不存在"
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echo ""
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echo "========== 检查端口 =========="
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netstat -tlnp | grep -E ':(3000|8000)' || ss -tlnp | grep -E ':(3000|8000)' || echo "端口未监听"
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echo ""
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echo "========== 测试本地服务 =========="
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curl -s http://127.0.0.1:8000/health 2>&1 || echo "后端 8000 端口无响应"
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curl -s -o /dev/null -w "前端 3000 端口: HTTP %{{http_code}}" http://127.0.0.1:3000 2>&1 || echo "前端 3000 端口无响应"
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"""
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result = run_and_get_log(check_script, f"check_docker_{int(time.time())}")
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if result:
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print("\n📋 执行结果:")
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print("-" * 60)
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if isinstance(result, dict) and result.get("msg"):
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print(result["msg"])
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else:
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print(result)
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print()
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print("=" * 60)
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if __name__ == "__main__":
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main()
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