Initial commit: AI Interview System
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deploy/fix_deploy.py
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211
deploy/fix_deploy.py
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#!/usr/bin/env python3
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"""
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修复部署 - 上传配置文件并重启服务
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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 json
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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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# 部署配置
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DEPLOY_PATH = "/www/wwwroot/ai-interview"
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DOMAIN = "interview.test.ai.ireborn.com.cn"
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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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return response.json()
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except requests.exceptions.JSONDecodeError:
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return {"status": True, "msg": response.text[:500]}
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except Exception as e:
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return {"status": False, "msg": str(e)}
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def write_remote_file(path, content):
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"""写入远程文件"""
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print(f"📝 写入文件: {path}")
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result = bt_api("files?action=SaveFileBody", {
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"path": path,
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"data": content,
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"encoding": "utf-8"
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})
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if result.get("status"):
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print(" ✅ 文件写入成功")
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return True
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print(f" 结果: {result}")
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return result.get("status", False)
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def exec_shell(command, timeout=300):
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"""执行 Shell 命令 - 使用宝塔终端 API"""
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print(f"🔧 执行: {command[:80]}...")
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# 尝试多个可能的 API 端点
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endpoints = [
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("deployment?action=ExecCommand", {"command": command}),
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("plugin?action=a&s=deployment&name=exec_command", {"command": command}),
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("crontab?action=GetDataList", {}), # 先获取计划任务列表
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]
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# 方法1: 使用 files 接口执行命令（某些宝塔版本支持）
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result = bt_api("files?action=ExecCommand", {"command": command}, timeout=timeout)
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if result.get("status") or "404" not in str(result.get("msg", "")):
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print(f" 结果: {str(result)[:200]}")
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return result
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# 方法2: 创建临时脚本并执行
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script_path = "/tmp/bt_exec_cmd.sh"
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write_result = bt_api("files?action=SaveFileBody", {
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"path": script_path,
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"data": f"#!/bin/bash\n{command}\n",
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"encoding": "utf-8"
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})
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if write_result.get("status"):
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# 设置执行权限并运行
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result = bt_api("files?action=ExecCommand", {"command": f"chmod +x {script_path} && {script_path}"}, timeout=timeout)
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print(f" 结果: {str(result)[:200]}")
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return result
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print(f" ⚠️ 无法执行命令，请手动在服务器执行")
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return {"status": False, "msg": "需要手动执行"}
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def restart_nginx():
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"""重启 Nginx"""
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print("🔄 重启 Nginx...")
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result = bt_api("system?action=ServiceAdmin", {
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"name": "nginx",
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"type": "restart"
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})
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print(f" 结果: {result}")
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return result
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def main():
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print("=" * 60)
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print("🔧 AI 面试系统 - 修复部署")
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print("=" * 60)
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print()
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# 1. 写入 .env 文件
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print("\n📝 步骤 1: 写入环境变量文件")
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env_content = """# AI Interview 后端环境变量
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COZE_PAT_TOKEN=pat_nd1wU47WyPS9GCIyJ1clnH8h1WOQXGrYELX8w73TnSZaYbFdYD4swIhzcETBUbfT
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COZE_BOT_ID=7595113005181386792
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COZE_WORKFLOW_A_ID=7597357422713798710
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COZE_WORKFLOW_C_ID=7597376294612107318
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FILE_SERVER_URL=https://files.test.ai.ireborn.com.cn
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FILE_SERVER_TOKEN=ai_interview_2026_secret
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CORS_ORIGINS=http://interview.test.ai.ireborn.com.cn,https://interview.test.ai.ireborn.com.cn,http://localhost:5173
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"""
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write_remote_file(f"{DEPLOY_PATH}/deploy/.env", env_content)
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# 2. 写入 Nginx 配置
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print("\n📝 步骤 2: 写入 Nginx 反向代理配置")
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nginx_config = """server {
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listen 80;
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server_name interview.test.ai.ireborn.com.cn;
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index index.html;
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access_log /www/wwwlogs/interview.test.ai.ireborn.com.cn.log;
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error_log /www/wwwlogs/interview.test.ai.ireborn.com.cn.error.log;
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# 前端 - 代理到 Docker 前端容器 (3000 端口)
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location / {
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proxy_pass http://127.0.0.1:3000;
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proxy_http_version 1.1;
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proxy_set_header Upgrade $http_upgrade;
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proxy_set_header Connection 'upgrade';
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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proxy_set_header X-Forwarded-Proto $scheme;
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}
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# API - 代理到 Docker 后端容器 (8000 端口)
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location /api/ {
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proxy_pass http://127.0.0.1:8000/api/;
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proxy_http_version 1.1;
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proxy_set_header Host $host;
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proxy_set_header X-Real-IP $remote_addr;
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proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
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proxy_set_header X-Forwarded-Proto $scheme;
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proxy_read_timeout 120s;
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proxy_connect_timeout 120s;
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}
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# 健康检查端点
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location /health {
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proxy_pass http://127.0.0.1:8000/health;
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proxy_http_version 1.1;
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proxy_set_header Host $host;
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}
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}
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"""
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write_remote_file(f"/www/server/panel/vhost/nginx/{DOMAIN}.conf", nginx_config)
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# 3. 写入 Docker 重启脚本
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print("\n📝 步骤 3: 写入 Docker 重启脚本")
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restart_script = f"""#!/bin/bash
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cd {DEPLOY_PATH}/deploy
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docker-compose down 2>/dev/null || true
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sleep 2
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docker-compose up -d --build
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sleep 5
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docker ps
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"""
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write_remote_file(f"{DEPLOY_PATH}/restart_docker.sh", restart_script)
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# 4. 重启 Nginx
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print("\n🔄 步骤 4: 重启 Nginx")
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restart_nginx()
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print()
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print("=" * 60)
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print("✅ 配置文件已上传!")
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print("=" * 60)
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print()
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print("⚠️ 请在服务器上手动执行以下命令重启 Docker:")
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print()
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print(f" chmod +x {DEPLOY_PATH}/restart_docker.sh")
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print(f" {DEPLOY_PATH}/restart_docker.sh")
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print()
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print(" 或者:")
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print()
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print(f" cd {DEPLOY_PATH}/deploy")
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print(" docker-compose down && docker-compose up -d --build")
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print()
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print(f"🌐 配置完成后访问:")
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print(f" 用户端: http://{DOMAIN}")
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print(f" 管理后台: http://{DOMAIN}/admin")
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print(f" API: http://{DOMAIN}/api/health")
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print()
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if __name__ == "__main__":
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main()
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