Initial commit: AI Interview System

deploy/write_deploy_script.py

@@ -0,0 +1,111 @@
+#!/usr/bin/env python3
+"""
+通过文件 API 写入部署脚本
+"""
+import requests
+import time
+import hashlib
+import base64
+
+import urllib3
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+
+BT_PANEL = "http://47.107.172.23:8888"
+BT_API_KEY = "PKdfnaInQL0P5ghB8SvwbrGcIpXWaEvq"
+DEPLOY_PATH = "/www/wwwroot/ai-interview"
+
+
+def bt_api(action, data=None, timeout=60):
+    if data is None:
+        data = {}
+    request_time = int(time.time())
+    request_token = hashlib.md5(
+        f"{request_time}{hashlib.md5(BT_API_KEY.encode()).hexdigest()}".encode()
+    ).hexdigest()
+    data['request_time'] = request_time
+    data['request_token'] = request_token
+    url = f"{BT_PANEL}/{action}"
+    try:
+        response = requests.post(url, data=data, timeout=timeout, verify=False)
+        try:
+            return response.json()
+        except:
+            return {"status": True, "msg": response.text[:2000]}
+    except Exception as e:
+        return {"status": False, "msg": str(e)}
+
+
+def main():
+    print("=" * 60)
+    print("📝 写入部署脚本到服务器")
+    print("=" * 60)
+    
+    deploy_script = f"""#!/bin/bash
+# AI Interview 部署脚本
+
+cd {DEPLOY_PATH}/deploy
+
+echo "清理 Docker..."
+docker system prune -af 2>/dev/null || true
+
+echo "构建并启动..."
+docker-compose up -d --build
+
+sleep 15
+
+echo "容器状态:"
+docker ps -a
+
+echo "后端日志:"
+docker logs --tail 30 ai-interview-backend 2>&1
+
+echo "测试:"
+curl -s http://127.0.0.1:8000/health || echo "后端未响应"
+"""
+    
+    # 方法1: 尝试写入已存在的路径
+    paths_to_try = [
+        f"{DEPLOY_PATH}/deploy.sh",
+        f"{DEPLOY_PATH}/deploy/deploy.sh",
+        "/tmp/deploy.sh",
+    ]
+    
+    for path in paths_to_try:
+        print(f"\n尝试写入: {path}")
+        
+        # 先尝试创建空文件
+        result = bt_api("files?action=CreateFile", {"path": path})
+        print(f"   创建文件: {result}")
+        
+        # 然后写入内容
+        result = bt_api("files?action=SaveFileBody", {
+            "path": path,
+            "data": deploy_script,
+            "encoding": "utf-8"
+        })
+        
+        if result.get("status"):
+            print(f"   ✅ 写入成功!")
+            print()
+            print("=" * 60)
+            print("请在服务器执行:")
+            print(f"   bash {path}")
+            print("=" * 60)
+            return
+        else:
+            print(f"   ❌ {result.get('msg', result)}")
+    
+    print()
+    print("=" * 60)
+    print("❌ 所有方法都失败了")
+    print()
+    print("请手动在服务器终端执行:")
+    print()
+    print(f"cd {DEPLOY_PATH}/deploy")
+    print("docker system prune -af")
+    print("docker-compose up -d --build")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()