import time import json import aiohttp from lib_not_dr.loggers import config from data_struct import NewMessage, SendMessage logger = config.get_logger("bmcl") _version_ = "1.1.0" 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)) async def bmcl(sio, reply_msg: SendMessage, msg: NewMessage): 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) 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"] 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"在线节点: {online_node} 带宽: {online_bandwidth}Mbps\n" f"实时负载: {load_str:.3f}% 带宽: {data_bandwidth:.5f}Mbps\n" f"当日请求: {hits_count} 总数据量: {data_len}\n" 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")