def fetch_mem(self, lines):
"""
获取 mem 的关键数据包括: 纯物理内存使用率, 包含虚拟内存的内存使用率(无则为0)
:param lines: 带 mem 关键数据行
"""
# 解析数据错误行数
error_num = 0
mem_sum = float(0)
mem_virtual_sum = float(0)
for line in lines:
mems = line.split(",")
if len(mems) == 17:
# (Memtotal - Memfree - cached - buffers)/Memtotal * 100
mem_sum += ((float(mems[2]) - float(mems[6]) -
float(mems[11]) - float(mems[14])) /
float(mems[2]) * 100)
elif len(mems) == 8:
# (Real total - Real free)/Real total * 100
mem_sum += ((float(mems[6]) - float(mems[4])) /
float(mems[6]) * 100)
# (Real total - Real free + Virtual total - Virtual free) /(Real total + Virtual total) * 100
mem_virtual_sum += ((float(mems[6]) - float(mems[4]) +
float(mems[7]) - float(mems[5])) /
(float(mems[6]) + float(mems[7])) * 100)
else:
logger.error("解析服务器ip为 %s 的 %s 监控文件的 MEM 数据出现异常,出现异常行数据为：%s" %
(self.ip, self.name, line))
error_num += 1
continue
self.mem = (round(mem_sum / (len(lines) - error_num), 2),
round(mem_virtual_sum / (len(lines) - error_num), 2))
logger.debug("mem: 不含虚拟内存的使用率 %.2f%%, 包含虚拟内存的使用率 %.2f%%" %
(self.mem[0], self.mem[1]))
def start(self):
logger.error("*****************************************************")
self.config = Config.get_instance()
self.check_dir(self.config.download_local_path)
# 生成脚本运行命令
if self.config.type == "1":
# 判断参数是否填写
self.check_jmeter_config_param()
# jmeter 生成脚本命令前, 检查 jmeter 程序是否存在
self.check_exe()
script_path = self.config.jmeter_script_dir
script_file, path = get_all_script(script_path, ".jmx")
script_command, result_jmeter_file_list = jmeter_cmd(
script_file, path)
elif self.config.type == "2":
self.check_loadrunner_config_param()
script_path = self.config.loadrunner_script_dir
script_file, path = get_all_script(script_path, ".lrs")
script_command, result_analyse_command, result_loadrunner_file_list = lr_cmd(
script_file, path)
else:
raise CustomError("参数type值只能为1或者2,目前值 %s 非法" % self.config.type)
# 连接后台服务器,运行脚本,开启监控
self.servers_connect()
for command in script_command:
index = script_command.index(command)
self.servers_start_nmon_control(script_file[index])
exe_command(command)
# 下载nmon文件,关闭后台连接
self.servers_close()
# 如果是loadrunner需要额外调用命令,解析文件
if not self.config.loadrunner_script_dir == "" and self.config.jmeter_script_dir == "":
if len(result_analyse_command) == 0:
raise CustomError("无法获取 loadrunner 解析命令")
for command in result_analyse_command:
exe_command(command)
self.analyse_nmon(self.servers, self.result_nmon_variable_list)
if not self.config.jmeter_script_dir == "":
if len(result_jmeter_file_list) == 0:
raise CustomError("jmeter 解析时出现异常,找不到结果文件所在路径")
self.analyse_jmeter(result_jmeter_file_list,
self.result_file_analyse_variable_list)
elif not self.config.loadrunner_script_dir == "":
if len(result_loadrunner_file_list) == 0:
raise CustomError("loadrunner 解析时出现异常,找不到结果文件所在路径")
self.analyse_loadrunner(result_loadrunner_file_list,
self.result_file_analyse_variable_list)
else:
raise CustomError("脚本路径不能全为空,解析结果失败")
report = Report()
report.get_report(self.result_file_analyse_variable_list,
self.result_nmon_variable_list,
file_name=self.config.report_name,
file_path=self.config.report_path)
def analyse_loadrunner(loadrunner_file_list, loadrunner_result_list):
logger.info("开始解析loadrunner文件")
for loadrunner_file in loadrunner_file_list:
loadrunner = LoadRunnerAnalyse()
try:
loadrunner.file_analyse(loadrunner_file)
except Exception as e:
logger.error(e)
continue
loadrunner_result_list.append(loadrunner)
logger.info("解析loadrunner文件结束")
def analyse_jmeter(jmeter_file_list, jmeter_result_list):
logger.info("开始解析jmeter文件")
for jmeter_file in jmeter_file_list:
jmeter = JmeterAnalyse()
try:
jmeter.file_analyse(jmeter_file)
except Exception as e:
logger.error(e)
continue
jmeter_result_list.append(jmeter)
logger.info("解析jmeter文件结束")
def fetch_cpu(self, lines):
"""
:param lines: 带 cpu 关键数据行
"""
# 解析数据错误行数
error_num = 0
cpu_sum = float(0)
for line in lines:
cpus = line.split(",")
# sys% datas[2] user datas[3]
# total = sys + user
try:
cpu_sum += (float(cpus[3]) + float(cpus[2]))
except Exception:
logger.error("解析服务器ip为 %s 的 %s 监控文件的 cpu 数据出现异常,出现异常行数据为：%s" %
(self.ip, self.name, line))
error_num += 1
self.cpu = round(cpu_sum / (len(lines) - error_num), 2)
logger.debug("cpu: %.2f%%" % self.cpu)
# -*- coding:utf-8 -*-
# @Time : 2019/8/27 9:58
# @Author : zengln
# @File : start.py
from performance_autotest import launch
from performance_autotest.log import logger
import time
import sys
import traceback
"""
入口脚本
"""
try:
script_launch = launch.Launch()
script_launch.start()
except Exception:
error_msg = traceback.format_exc()
logger.error(error_msg)
finally:
time.sleep(1)
input("按任意键退出")
sys.exit()
logger.info("开始解析loadrunner文件")
for loadrunner_file in loadrunner_file_list:
loadrunner = LoadRunnerAnalyse()
try:
loadrunner.file_analyse(loadrunner_file)
except Exception as e:
logger.error(e)
continue
loadrunner_result_list.append(loadrunner)
logger.info("解析loadrunner文件结束")
try:
logger.error("*****************************************************")
config = Config.get_instance()
# 保存结果文件路径
result_jmeter_file_list = []
result_loadrunner_file_list = []
# 保存解析文件结果
result_nmon_variable_list = []
result_file_analyse_variable_list = []
check_dir(config.download_local_path)
# 生成脚本运行命令
if not config.jmeter_script_dir == "":
# jmeter 生成脚本命令前, 检查 jmeter 程序是否存在
check_exe()