性能测试 -Jmeter压测报告生成

graph LR
jmx脚本文件--Jmeter运行测试-->生成包含测试结果数据的jtl文件--Jmeter命令生成报告-->html文件
user.properties--配置报告图表-->html文件
report-template--定义报告模板-->html文件

jmeter -n -t xxx.jmx

jmeter -n -t xxx.jmx -l $jtl_path/xxx.jtl -e -o  $html_path

jmeter -n -t D:\work_space\jmeter_space\202301_SDH2_3.jmx -l D:\work_space\jmeter_space\result\1.jtl                         

jmeter -g $jtl_path/xxx.jtl -o $html_path

jmeter.reportgenerator.exporter.html.series_filter=^($取样器名称|$取样器名称2)(-success|-failure)?$   

# 示例: 只显示取样器Transaction Controller-0和Transaction Controller-2,成功的请求
jmeter.reportgenerator.exporter.html.series_filter=^(Transaction Controller-0|Transaction Controller-1)(-success)?$                               

## Custom graph definition
#jmeter.reportgenerator.graph.custom_mm_hit.classname=org.apache.jmeter.report.processor.graph.impl.CustomGraphConsumer		# 表明这是个定制图表,不用动
#jmeter.reportgenerator.graph.custom_mm_hit.title=Graph Title		# 定义图表名
#jmeter.reportgenerator.graph.custom_mm_hit.property.set_Y_Axis=Response Time (ms) # 定义Y属性
#jmeter.reportgenerator.graph.custom_mm_hit.property.set_X_Axis=Over Time # 定义X属性
#jmeter.reportgenerator.graph.custom_mm_hit.property.set_granularity=${jmeter.reportgenerator.overall_granularity} # 颗粒度, 即最小刻度单位, 长时间压测设为60000 (1min)
#jmeter.reportgenerator.graph.custom_mm_hit.property.setSampleVariableName=VarName
#jmeter.reportgenerator.graph.custom_mm_hit.property.setContentMessage=Message for graph point label

jmeter.reportgenerator.graph.custom_mm_hit.classname=org.apache.jmeter.report.processor.graph.impl.CustomGraphConsumer
jmeter.reportgenerator.graph.custom_mm_hit.title=Chunk allThreads 
jmeter.reportgenerator.graph.custom_mm_hit.property.set_Y_Axis=allThreads 
jmeter.reportgenerator.graph.custom_mm_hit.property.set_X_Axis=Over Time
jmeter.reportgenerator.graph.custom_mm_hit.property.set_granularity=6000
jmeter.reportgenerator.graph.custom_mm_hit.property.setSampleVariableName=allThreads
jmeter.reportgenerator.graph.custom_mm_hit.property.setContentMessage=Number of allThreads

# Change this parameter if you want to override the APDEX satisfaction threshold.
# Set to 500 ms by default
jmeter.reportgenerator.apdex_satisfied_threshold=5000

# Change this parameter if you want to override the APDEX tolerance threshold.
# Set to 1500 ms by default
jmeter.reportgenerator.apdex_tolerated_threshold=15000

Example: A client has provided 3 seconds as response time NFR and 5 seconds as the maximum response time NFR, so 3 seconds becomes satisfied threshold value and 5 seconds become tolerated threshold value.

# Configure this property to change the report title
jmeter.reportgenerator.report_title=Neotrident JMeter Dashboard Report

jmeter -g D:\xxx\Jmeter报告\report.jtl -o D:\xxx\Jmeter报告\cn_report

# 文件路径,分别对应html 5个页面
apache-jmeter-5\bin\report-template\content\pages\ *.fmkr
apache-jmeter-5\bin\report-template\index.html.fmkr
# 使用notepad++打开文件, 对文案,页面结构进行自定义修改

# -*- coding: utf-8 -*-
"""
@Author : Feny
@Time : 2023/2/13 10:13
@File : serverLog2chart.py
备注:
"""
import os
from datetime import datetime
import numpy as np
import pandas as pd
import matplotlib.pylab as plt
from pyecharts.charts import Line, Page
from pyecharts import options as opts
from pyecharts.globals import ThemeType


def data_clean( filename: str):
    """获取数据并进行清洗"""
    data = pd.read_csv(filename)
    # 加入列名
    data.columns = ['timestamp', 'arg', 'ip_index', 'index', *list(n for n in range(13))]
    # 分组展示
    g = data.groupby('ip_index')
    return g


def series2list(data: pd.DataFrame ,column: str):
    # 获取1列数据
    data_str = list(data[column])
    # 将列数据转化为数字组成的列表
    return list(map(eval, data_str))

def ts2time(ts):
    """格式化输出时间字符串"""
    dt = datetime.fromtimestamp(ts/1000)
    return dt.strftime("%d %H:%M:%S")

if __name__ == '__main__':
    # 数据清洗,获取group
    filename = "server.jtl"
    g = data_clean(filename)
    # 图表生成
    page = Page(layout=Page.DraggablePageLayout)
    for tuple in g:
        index, df = tuple[0], tuple[1]
        ts_list_origin, arg_list_origin = list(df['timestamp']), list(df['arg'])
        time_list = list( map(ts2time, ts_list_origin))
        arg_list = list( map(lambda x:x/1000,arg_list_origin))
        line1 = (
            Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
            .add_xaxis(time_list)
            .add_yaxis(index, arg_list)
            .set_global_opts(title_opts=opts.TitleOpts(title=f"Server{index.split()[1]}监控图",
                                                       subtitle=f"此曲线图反映了{index.split()[1]}的趋势变化"))
        )
        page.add(line1)


    # 使用pyecharts形成图表
    page.render("serverCharts.html")
    os.system("serverCharts.html")