Initial commit: AI Interview System
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136
deploy/cleanup_bt.py
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136
deploy/cleanup_bt.py
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#!/usr/bin/env python3
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"""
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深度清理宝塔面板
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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 main():
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print("=" * 60)
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print("🧹 深度清理宝塔面板")
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print("=" * 60)
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# 1. 删除所有计划任务
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print("\n1. 清理计划任务...")
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result = bt_api("crontab?action=GetCrontab", {"page": 1, "limit": 100})
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deleted = 0
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tasks_to_delete = []
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if isinstance(result, list):
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tasks_to_delete = result
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elif isinstance(result, dict) and result.get("data"):
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tasks_to_delete = result["data"]
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for task in tasks_to_delete:
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if isinstance(task, dict) and task.get("id"):
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name = task.get("name", "")
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# 删除所有临时任务
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bt_api("crontab?action=DelCrontab", {"id": task["id"]})
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deleted += 1
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print(f" 删除: {name} (ID: {task['id']})")
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print(f" 共删除 {deleted} 个任务")
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# 2. 清理计划任务日志
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print("\n2. 清理任务日志...")
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result = bt_api("crontab?action=DelLogs")
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print(f" 结果: {result}")
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# 3. 清理面板日志
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print("\n3. 清理面板日志...")
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result = bt_api("system?action=ClearCache")
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print(f" 结果: {result}")
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# 4. 尝试压缩数据库
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print("\n4. 压缩数据库...")
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result = bt_api("system?action=ReDatabase")
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print(f" 结果: {result}")
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time.sleep(3)
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# 5. 再次尝试创建任务
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print("\n5. 测试创建任务...")
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result = bt_api("crontab?action=AddCrontab", {
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"name": "test_task",
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"type": "minute-n",
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"where1": "1",
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"sType": "toShell",
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"sBody": "echo test",
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})
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if result.get("status") and result.get("id"):
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print(f" ✅ 成功! 任务ID: {result['id']}")
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# 删除测试任务
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bt_api("crontab?action=DelCrontab", {"id": result["id"]})
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# 现在执行构建
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print("\n6. 执行构建...")
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build_result = bt_api("crontab?action=AddCrontab", {
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"name": "deploy_docker",
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"type": "minute-n",
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"where1": "1",
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"sType": "toShell",
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"sBody": f"""#!/bin/bash
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cd {DEPLOY_PATH}/deploy
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docker system prune -af 2>/dev/null || true
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docker-compose up -d --build 2>&1
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sleep 15
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docker ps -a
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docker logs --tail 20 ai-interview-backend 2>&1
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curl -s http://127.0.0.1:8000/health || echo "后端未响应"
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""",
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})
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if build_result.get("id"):
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cron_id = build_result["id"]
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print(f" 任务 {cron_id} 已创建,开始执行...")
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bt_api("crontab?action=StartTask", {"id": cron_id}, timeout=600)
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print(" 等待 180 秒...")
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time.sleep(180)
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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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if log_result and log_result.get("msg"):
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print("\n📋 构建结果:")
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print("-" * 60)
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print(log_result["msg"])
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else:
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print(f" ❌ 仍然失败: {result}")
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print("\n" + "=" * 60)
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print("🌐 http://interview.test.ai.ireborn.com.cn")
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if __name__ == "__main__":
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main()
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