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99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
import time
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import json
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import aiohttp
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from lib_not_dr.loggers import config
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from data_struct import NewMessage, SendMessage
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logger = config.get_logger("bmcl")
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_version_ = "1.1.1"
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def format_data_size(data_bytes: float) -> str:
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data_lens = ["B", "KB", "MB", "GB", "TB"]
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data_len = "0B"
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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_len = f"{data_bytes}{data_lens[i]}"
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break
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else:
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data_bytes /= 1024
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return data_len
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def format_hit_count(count: int) -> str:
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"""数据分段, 四位一个下划线
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Args:
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count (int): 数据
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Returns:
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str: 格式化后的数据
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1 -> 1
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1000 -> 1000
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10000 -> 1_0000
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100000 -> 10_0000
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1000000 -> 100_0000
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"""
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count_str = str(count)
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count_len = len(count_str)
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if count_len <= 4:
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return count_str
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else:
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return "_".join(count_str[i:i + 4] for i in range(0, count_len, 4))
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async def bmcl(sio, reply_msg: SendMessage, msg: NewMessage):
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req_time = time.time()
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# 记录请求时间
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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: float = 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_len = format_data_size(data_bytes)
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hits_count = format_hit_count(data_hits)
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report_msg = (
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f"OpenBMCLAPI 状态面板v{_version_} :\n"
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f"实时信息: {online_node} 带宽: {online_bandwidth}Mbps\n"
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f"负载: {load_str:.2f}% 带宽: {data_bandwidth:.2f}Mbps\n"
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f"当日请求: {hits_count} 数据量: {data_len}\n"
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f"请求时间: {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(req_time))}\n"
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"数据源: https://bd.bangbang93.com/pages/dashboard"
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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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