115 lines
3.3 KiB
Python
115 lines
3.3 KiB
Python
#!/usr/bin/env python3
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"""
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只启动后端容器
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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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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=300)
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print(f"任务 {cron_id} 已启动，等待 {wait_time} 秒...")
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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("🚀 单独启动后端容器")
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print("=" * 60)
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# 直接用 docker run 启动后端容器
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start_script = f"""#!/bin/bash
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cd {DEPLOY_PATH}/deploy
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# 停止旧容器
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docker stop ai-interview-backend 2>/dev/null || true
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docker rm ai-interview-backend 2>/dev/null || true
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# 读取 .env 文件
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source .env 2>/dev/null || true
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echo "启动后端容器..."
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docker run -d \\
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--name ai-interview-backend \\
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-p 8000:8000 \\
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-e COZE_PAT_TOKEN="$COZE_PAT_TOKEN" \\
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-e COZE_BOT_ID="$COZE_BOT_ID" \\
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-e COZE_WORKFLOW_A_ID="$COZE_WORKFLOW_A_ID" \\
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-e COZE_WORKFLOW_C_ID="$COZE_WORKFLOW_C_ID" \\
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-e FILE_SERVER_URL="$FILE_SERVER_URL" \\
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-e FILE_SERVER_TOKEN="$FILE_SERVER_TOKEN" \\
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-v {DEPLOY_PATH}/deploy/uploads:/app/uploads \\
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--restart unless-stopped \\
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deploy-backend
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sleep 5
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echo ""
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echo "========== 容器状态 =========="
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docker ps --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 "========== 测试后端 =========="
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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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"""
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result = run_task(start_script, f"start_backend_{int(time.time())}", wait_time=20)
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if result and result.get("msg"):
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print("\n" + result["msg"])
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print("\n" + "=" * 60)
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print("测试后端 API:")
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print(" http://interview.test.ai.ireborn.com.cn/api/health")
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print("=" * 60)
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if __name__ == "__main__":
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main()
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