#!/usr/bin/python3 # -*- coding: utf-8 -*- # Copyright (c) 2019 Huawei Technologies Co., Ltd. # A-Tune is licensed under the Mulan PSL v1. # You can use this software according to the terms and conditions of the Mulan PSL v1. # You may obtain a copy of Mulan PSL v1 at: # http://license.coscl.org.cn/MulanPSL # THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR FIT FOR A PARTICULAR # PURPOSE. # See the Mulan PSL v1 for more details. # Create: 2019-10-29 """ Vmstat parser. """ from __future__ import print_function from . import base class VmstatParser(base.Parser): """Docstring for VmstatParser. """ def __init__(self, raw_data_file, data_to_collect, skip_first=True, **kwargs): """Initialize a vmstat parser. @param raw_data_file: the path of raw data @param data_to_collect: list of str which represents the metrics to parse @param skip_first: skip the first batch of data or not. Bacause the first output of vmstat is the statistics information since boot, we can skip it. @param alias: alias name of output fields (default: "iostat") """ base.Parser.__init__(self, raw_data_file, data_to_collect, **kwargs) # the first output of vmstat is the statistics information since boot, so we can skip it if skip_first: self.get_next_data() def _check_data_to_collect(self): """Read the first batch output of vmstat and check whether or not all metrics in data_to_collect are in the output. If not, it will raise ValueError. """ with open(self._raw_data_file, 'r') as raw_data_fd: raw_data_fd.readline() datas = raw_data_fd.readline().split() diff_set = set(self._data_to_collect) - set(datas) if diff_set: raise ValueError("`{}`: Unknown data name `{}`".format(self._raw_data_file, ','.join(diff_set))) def _get_iter(self): """Get the iteration of the vmstat parser. @return: the iteration of the vmstat parser """ with open(self._raw_data_file, 'r') as raw_data_fd: raw_data_fd.readline() attrs = raw_data_fd.readline().split() for row_num, line in enumerate(raw_data_fd, 3): line_part = line.split() line_data = [int(d) for d in line_part] if len(attrs) != len(line_data): print("WARNING: {}: Line {}: The number of columns may be wrong." .format(self._raw_data_file, row_num)) return data = dict(zip(attrs, line_data)) yield [data[attr] for attr in self._data_to_collect]