socket-bot/plugins/bmcl.py

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import time
import json
import aiohttp
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from lib_not_dr.loggers import config
from data_struct import NewMessage, SendMessage
logger = config.get_logger("bmcl")
_version_ = "1.1.1"
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def format_data_size(data_bytes: float) -> str:
data_lens = ["B", "KB", "MB", "GB", "TB"]
data_len = "0B"
for i in range(5):
if data_bytes < 1024:
data_bytes = round(data_bytes, 5)
data_len = f"{data_bytes}{data_lens[i]}"
break
else:
data_bytes /= 1024
return data_len
def format_hit_count(count: int) -> str:
"""数据分段, 四位一个下划线
Args:
count (int): 数据
Returns:
str: 格式化后的数据
1 -> 1
1000 -> 1000
10000 -> 1_0000
100000 -> 10_0000
1000000 -> 100_0000
"""
count_str = str(count)
count_len = len(count_str)
if count_len <= 4:
return count_str
else:
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()
# 记录请求时间
async with aiohttp.ClientSession() as session:
async with session.get(
"https://bd.bangbang93.com/openbmclapi/metric/dashboard"
) as response:
if not response.status == 200 or response.reason != "OK":
await sio.emit(
"sendMessage",
reply_msg.to_content(
f"请求数据失败\n{response.status}"
).to_json(),
)
logger.warn(
f"数据请求失败, 请检查网络\n{response.status}",
tag="bmclapi_dashboard",
)
return
raw_data = await response.text()
try:
data = json.loads(raw_data)
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data_bytes: float = data["bytes"]
data_hits: int = data["hits"]
data_bandwidth: float = data["currentBandwidth"]
load_str: float = data["load"] * 100
online_node: int = data["currentNodes"]
online_bandwidth: int = data["bandwidth"]
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data_len = format_data_size(data_bytes)
hits_count = format_hit_count(data_hits)
report_msg = (
f"OpenBMCLAPI 状态面板v{_version_} :\n"
f"实时信息: {online_node} 带宽: {online_bandwidth}Mbps\n"
f"负载: {load_str:.2f}% 带宽: {data_bandwidth:.2f}Mbps\n"
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"
"数据源: https://bd.bangbang93.com/pages/dashboard"
)
await sio.emit(
"sendMessage",
reply_msg.to_content(report_msg).to_json()
)
except (json.JSONDecodeError, AttributeError, ValueError) as e:
await sio.emit(
"sendMessage",
reply_msg.to_content(f"返回数据解析错误\n{e}").to_json(),
)
logger.warn(f"返回数据解析错误\n{e}", tag="bmclapi_dashboard")