Initial commit: AI Interview System

2026-01-23 13:57:48 +08:00
commit 95770afe21
127 changed files with 24686 additions and 0 deletions
--- a/deploy/start_backend_only.py
+++ b/deploy/start_backend_only.py
@@ -0,0 +1,114 @@
+#!/usr/bin/env python3
+"""
+只启动后端容器
+"""
+import requests
+import time
+import hashlib
+
+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 run_task(shell_body, task_name, wait_time=30):
+    result = bt_api("crontab?action=AddCrontab", {
+        "name": task_name,
+        "type": "minute-n",
+        "where1": "1",
+        "sType": "toShell",
+        "sBody": shell_body,
+    })
+    if not result.get("status") or not result.get("id"):
+        print(f"创建任务失败: {result}")
+        return None
+    cron_id = result["id"]
+    bt_api("crontab?action=StartTask", {"id": cron_id}, timeout=300)
+    print(f"任务 {cron_id} 已启动，等待 {wait_time} 秒...")
+    time.sleep(wait_time)
+    log_result = bt_api("crontab?action=GetLogs", {"id": cron_id})
+    bt_api("crontab?action=DelCrontab", {"id": cron_id})
+    return log_result
+
+
+def main():
+    print("=" * 60)
+    print("🚀 单独启动后端容器")
+    print("=" * 60)
+    
+    # 直接用 docker run 启动后端容器
+    start_script = f"""#!/bin/bash
+cd {DEPLOY_PATH}/deploy
+
+# 停止旧容器
+docker stop ai-interview-backend 2>/dev/null || true
+docker rm ai-interview-backend 2>/dev/null || true
+
+# 读取 .env 文件
+source .env 2>/dev/null || true
+
+echo "启动后端容器..."
+docker run -d \\
+    --name ai-interview-backend \\
+    -p 8000:8000 \\
+    -e COZE_PAT_TOKEN="$COZE_PAT_TOKEN" \\
+    -e COZE_BOT_ID="$COZE_BOT_ID" \\
+    -e COZE_WORKFLOW_A_ID="$COZE_WORKFLOW_A_ID" \\
+    -e COZE_WORKFLOW_C_ID="$COZE_WORKFLOW_C_ID" \\
+    -e FILE_SERVER_URL="$FILE_SERVER_URL" \\
+    -e FILE_SERVER_TOKEN="$FILE_SERVER_TOKEN" \\
+    -v {DEPLOY_PATH}/deploy/uploads:/app/uploads \\
+    --restart unless-stopped \\
+    deploy-backend
+
+sleep 5
+
+echo ""
+echo "========== 容器状态 =========="
+docker ps --format 'table {{{{.Names}}}}\\t{{{{.Status}}}}\\t{{{{.Ports}}}}'
+
+echo ""
+echo "========== 后端日志 =========="
+docker logs --tail 30 ai-interview-backend 2>&1
+
+echo ""
+echo "========== 测试后端 =========="
+curl -s http://127.0.0.1:8000/health 2>&1 || echo "后端未响应"
+"""
+    
+    result = run_task(start_script, f"start_backend_{int(time.time())}", wait_time=20)
+    
+    if result and result.get("msg"):
+        print("\n" + result["msg"])
+    
+    print("\n" + "=" * 60)
+    print("测试后端 API:")
+    print("  http://interview.test.ai.ireborn.com.cn/api/health")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()