109 lines
4.4 KiB
Python
109 lines
4.4 KiB
Python
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# Copyright (c) 2019 Huawei Technologies Co., Ltd.
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# A-Tune is licensed under the Mulan PSL v1.
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# You can use this software according to the terms and conditions of the Mulan PSL v1.
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# You may obtain a copy of Mulan PSL v1 at:
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# http://license.coscl.org.cn/MulanPSL
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# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR FIT FOR A PARTICULAR
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# PURPOSE.
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# See the Mulan PSL v1 for more details.
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# Create: 2019-10-29
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"""
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Sar parser with device.
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"""
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from __future__ import print_function
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from . import base
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class SarWithDevParser(base.Parser):
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"""Docstring for SarWithDevParser. """
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def __init__(self, raw_data_file, data_to_collect, **kwargs):
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"""Initialize a sar parser with device. The device field must be the second column.
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@param raw_data_file: the path of raw data
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@param data_to_collect: list of str which represents the metrics to parse
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@param dev_list: list of devices of which metrics whille be collectted
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@param alias: alias name of output fields (default: "sarwithdev")
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"""
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base.Parser.__init__(self, raw_data_file, data_to_collect, **kwargs)
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self._dev_list = kwargs.get("dev_list", None)
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def _check_data_to_collect(self):
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"""Read the first batch output of sar and check whether or not all
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metrics in data_to_collect are in the output. If not, it will raise
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ValueError.
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"""
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with open(self._raw_data_file, 'r') as raw_data_fd:
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raw_data_fd.readline()
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raw_data_fd.readline()
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line_part = raw_data_fd.readline().split()
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datas = line_part[2:]
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diff_set = set(self._data_to_collect) - set(datas)
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if diff_set:
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raise ValueError("`{}`: Unknown data name `{}`".format(self._raw_data_file, ','.join(diff_set)))
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def _check_dev(self):
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"""Read the first batch output of sar and check whether or not all
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devices in dev_list are in the output. If not, it will raise ValueError.
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"""
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if not self._dev_list:
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raise ValueError("You must assigned at least one device")
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devs = set()
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with open(self._raw_data_file, 'r') as raw_data_fd:
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raw_data_fd.readline()
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raw_data_fd.readline()
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dev_field_name = raw_data_fd.readline().split()[1]
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for line in raw_data_fd:
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if not line.split():
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continue
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dev = line.split()[1]
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if dev == dev_field_name:
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break
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devs.add(dev)
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diff_set = set(self._dev_list) - devs
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if diff_set:
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raise ValueError("Can not find device `{}` in file `{}`".format(','.join(diff_set), self._raw_data_file))
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def _get_iter(self):
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"""Get the iteration of the sar parser.
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@return: the iteration of the sar parser
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"""
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data = {}
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attrs = []
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with open(self._raw_data_file, 'r') as raw_data_fd:
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raw_data_fd.readline()
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for row_num, line in enumerate(raw_data_fd, 2):
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if line.strip():
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line_part = line.split()
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dev_field_name = line_part[1]
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attrs = line_part[2:]
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break
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for row_num, line in enumerate(raw_data_fd, row_num):
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if not line.strip():
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continue
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line_part = line.split()
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if dev_field_name in line_part:
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attrs = line_part[2:]
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else:
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if len(attrs) != len(line_part) - 2:
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print("WARNING: {}: Line {}: The number of columns may be wrong."
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.format(self._raw_data_file, row_num))
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line_data = [float(d) for d in line_part[2:]]
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if line_part[1] not in data:
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data[line_part[1]] = dict(zip(attrs, line_data))
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else:
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yield [data[dev][attr] for dev in self._dev_list for attr in self._data_to_collect]
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data = {}
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data[line_part[1]] = dict(zip(attrs, line_data))
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if all(dev in data for dev in self._dev_list):
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yield [data[dev][attr] for dev in self._dev_list for attr in self._data_to_collect]
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