\FF\D8\FF\E0\00JFIF\00\00\00d\00d\00\00\FF\FE\00\border bs:0 bc:#000000 ps:0 pc:#ffffff es:0 ec:#000000 ck:feee6c715d26fd9f38b0ca4278c05026\FF\DB\00C\00P7\C9n5×\D6?\BDê\9Ds\EBp\9F[`8m\B7)o\B5\E8\E6I\99\FE3]]A2\BA\8Cw\D6E\93\\DEv\C8\009\F2\F1NI?uc\\F5\EA\96k\xN<~buv\EA\C8\D7 \8B\84\CEcxI\BBg\AE\9E=\D6+n\EC\80\C8A\8C\AE\EB\CF\D5\DA\E9"2\A4\B9j5\EB\F3W\B63\96\B30Yu\DA\FC8\ED\DF\E7Ms\FB\F1\8E\B3\FA\EA\E8\E6(\883zs\F2_\8DFk\8Bh \00\8C\DCw\D3R\B5+6X\BA\B2\C4j\AB0\B4\FCMw\C2I\8E\9B\E3\A9~9u\FA\D3l\80\C8%p\EE\FDn2€ \00 $\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95 59\A3R:\F3\CE"\B6\80\88\00\00i1u4ê\E9\F2á\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9 C/// # coding=utf-8 # # Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2019 All Rights Reserved # # Licensed under CLOUD LINUX LICENSE AGREEMENT # http://cloudlinux.com/docs/LICENSE.TXT import os from typing import Optional, Dict, AnyStr, Union, List class NotSupported(Exception): """ Custom error to handle compatibility issues """ pass def get_proc_info_as_list_of_dicts( file_content: AnyStr ) -> List[Optional[Dict[AnyStr, AnyStr]]]: """ Parses the response of /proc files Since this file has a possibility to include multiple objects info, we need to parse all of them in the separate dicts :file_content: /proc file content. Example: processor : 0 vendor_id : AuthenticAMD processor : 1 vendor_id : AuthenticAMD_1 return: list of dicts with each node """ result = [] for info_object in file_content.split("\n\n"): temp_dict = {} if not info_object: continue for info_attr in info_object.split("\n"): values = info_attr.split(":") if len(values) == 2: temp_dict[values[0].strip()] = values[1].strip() result.append(temp_dict) return result def convert_string_kb_to_mb_value(value: str) -> float: """ Helper to get numeric value of string record and convert it to mb :value: metric value from /proc file. Example: '512 KB' return: converted value. Example: 0.5 """ return float(value.split()[0]) / 1024 def get_cpu_metrics() -> List[Optional[Dict[AnyStr, Union[AnyStr, float, int]]]]: """ Prepare list of dicts with required cpu metrics The base of this method was taken from rhn_client_tools (src/up2date_client/hardware.py) Each CPU will be represented with a dict { "model": "foo", "cache_mb": 100, "frequency_mhz": 100, "id": 0 } return: list of dicts with cpu metrics """ result_list = [] uname = os.uname().machine # We can't read the /proc/cpuinfo file or arch