62 lines
2.4 KiB
Python
62 lines
2.4 KiB
Python
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import time
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import json
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import asyncio
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import aiohttp
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import socketio
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async def bmcl(sio):
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await asyncio.sleep(0.1)
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await sio.emit(
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"sendMessage", reply_msg.to_content("请求数据中……").to_json()
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)
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async with aiohttp.ClientSession() as session:
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async with session.get(
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"https://bd.bangbang93.com/openbmclapi/metric/dashboard"
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) as response:
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if not response.status == 200 or response.reason != "OK":
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await sio.emit(
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"sendMessage",
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reply_msg.to_content(
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f"请求数据失败\n{response.status}"
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).to_json(),
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)
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logger.warn(
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f"数据请求失败, 请检查网络\n{response.status}",
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tag="bmclapi_dashboard",
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)
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return
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raw_data = await response.text()
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try:
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data = json.loads(raw_data)
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data_bytes: int = data["bytes"]
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data_hits: int = data["hits"]
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data_bandwidth: float = data["currentBandwidth"]
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load_str: float = data["load"] * 100
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online_node: int = data["currentNodes"]
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online_bandwidth: int = data["bandwidth"]
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data_lens = ["B", "KB", "MB", "GB", "TB"]
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for i in range(5):
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if data_bytes < 1024:
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data_bytes = round(data_bytes, 5)
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data_bytes = f"{data_bytes}{data_lens[i]}"
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break
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data_bytes /= 1024
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report_msg = (
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"OpenBMCLAPI 状态:\n"
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f"在线节点: {online_node} 带宽: {online_bandwidth}Mbps\n"
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f"实时负载带宽: {data_bandwidth:.5f}Mbps 负载: {load_str:.3f}%\n"
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f"当日 总请求: {data_hits} 总数据量: {data_bytes}"
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)
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await sio.emit(
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"sendMessage",
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reply_msg.to_content(report_msg).to_json()
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)
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except (json.JSONDecodeError, AttributeError, ValueError) as e:
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await sio.emit(
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"sendMessage",
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reply_msg.to_content(f"返回数据解析错误\n{e}").to_json(),
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)
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logger.warn(f"返回数据解析错误\n{e}", tag="bmclapi_dashboard")
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