133 lines
3.8 KiB
Python
133 lines
3.8 KiB
Python
#!/usr/bin/env python3
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"""
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仅执行构建命令
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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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import urllib3
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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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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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_task(shell_body, task_name, wait_time=30):
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# 先清理旧任务
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result = bt_api("crontab?action=GetCrontab", {"page": 1, "limit": 100})
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if isinstance(result, dict) and result.get("data"):
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for task in result["data"]:
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if isinstance(task, dict) and ("upload_" in task.get("name", "") or "build_" in task.get("name", "")):
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bt_api("crontab?action=DelCrontab", {"id": task["id"]})
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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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"sType": "toShell",
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"sBody": shell_body,
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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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bt_api("crontab?action=StartTask", {"id": cron_id}, timeout=600)
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print(f"任务 {cron_id} 启动，等待 {wait_time}s...")
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time.sleep(wait_time)
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log_result = bt_api("crontab?action=GetLogs", {"id": cron_id})
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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("🐳 构建 Docker 容器")
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print("=" * 60)
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# 先清理磁盘空间
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print("\n🧹 步骤 1: 清理磁盘空间...")
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cleanup_script = """#!/bin/bash
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echo "清理 Docker..."
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docker system prune -af --volumes 2>/dev/null || true
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docker builder prune -af 2>/dev/null || true
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echo ""
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echo "清理宝塔日志..."
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rm -rf /www/wwwlogs/*.log 2>/dev/null || true
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find /www/server/panel/logs -name "*.log" -mtime +1 -delete 2>/dev/null || true
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echo ""
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echo "磁盘使用:"
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df -h /
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"""
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result = run_task(cleanup_script, "cleanup", wait_time=30)
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if result and result.get("msg"):
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print(result["msg"][:1000])
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# 构建
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print("\n🐳 步骤 2: 构建并启动...")
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build_script = f"""#!/bin/bash
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cd {DEPLOY_PATH}/deploy
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echo "目录检查:"
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ls -la {DEPLOY_PATH}/frontend/ | head -5
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ls -la {DEPLOY_PATH}/backend/ | head -5
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echo ""
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echo "构建并启动..."
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docker-compose up -d --build 2>&1
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sleep 20
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echo ""
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echo "容器状态:"
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docker ps -a --format 'table {{{{.Names}}}}\\t{{{{.Status}}}}\\t{{{{.Ports}}}}'
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echo ""
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echo "后端日志:"
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docker logs --tail 30 ai-interview-backend 2>&1
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echo ""
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echo "测试:"
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curl -s http://127.0.0.1:8000/health 2>&1 || echo "后端未响应"
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echo ""
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curl -s -o /dev/null -w "前端: %{{http_code}}" http://127.0.0.1:3000 2>&1
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"""
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result = run_task(build_script, "build", wait_time=180)
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if result and result.get("msg"):
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print("\n📋 构建结果:")
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print("-" * 60)
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print(result["msg"])
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print("\n" + "=" * 60)
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print("🌐 http://interview.test.ai.ireborn.com.cn")
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print("=" * 60)
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if __name__ == "__main__":
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main()
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