背景：
我本人不愿意写测试报告，但领导规定每个迭代后都需要发一份测试报告，让我比较难受（不是不会写，主要是测试报告内容比较详实，几乎没有人会细看），没有人看就=流于形式
那么，有没有一种方法，既满足了减轻测试人员的压力，又完成了目标，同时还能整合出一个一目了然的且具有参考意义的测试报告呢？
过程：
首先，因为我们公司使用jira作为迭代管理工具，我想了一下，如果能把jira数据拉下来就好了，于是我去查了一下，发现python是可以对jira进行操作的，那么就可以开整了
我的思路是这样的
1、利用python操作jira获取到我们的预期的数据
2、对数据进行处理，是数据满足我们生成图表的要求
3、使用pychart将处理好的数据变成测试报告的html
4、集成到jenkins上并接受他人的传参，做成千人千面，大家都可以使用的工具
先安装jira和pyecharts
在cmd中运行以下命令
pip install pyecharts
pip install jira
然后新建一个py文件，定义一些操作jira的方法，解析数据的方法，并返回满足生产图片的数据
operationJira.py
from jira import JIRAclass jiraOperation():def loginJira(server,username,password):jira = JIRA(server = server,basic_auth =(username,password))return jira#登录jira并返回一个jira的实例def serchissues(jira,jql,max_results = 50000,fields='components,summary,customfield_10903,labels'):"""serchiuess@:param jql:JQL,str@:param max_results: max results,int,default 100"""try:issues = jira.search_issues(jql,fields=fields, maxResults=max_results)#默认返回指定的三个字段，且最大结果行为50000return issuesexcept Exception as e:print(e)#根据jql查询jira的信息def analytical(jira_result):summarys = {}components = {}custom_fields = {}reason_bugs = {}for x in jira_result:a = str(x.fields.summary) #概要if ponents == []:b = 'None'else:b = str(ponents[0]) #模块 返回的是一个jira的components对象 需要转成strc = str(x.fields.customfield_10903) #归因分析d = str(x.key)#jira号e = str(x.fields.labels[0])summarys.setdefault(d,a) #{jira号:概要}components.setdefault(b,0) #{模块：出现次数}if b in components.keys():components[b] = components[b] + 1custom_fields.setdefault(c,0) #{归因分析：出现次数}if c in custom_fields.keys():custom_fields[c] = custom_fields[c] + 1reason_bugs.setdefault((d+a),c) #{jira号 jira概要：jira归因分析}labels = ereturn (summarys,components,custom_fields,reason_bugs,labels)#解析jira数据并返回
数据有了，接下来就是根据数据生成图表了
makeChart.py
# -*- coding=utf-8 -*-from pyecharts.faker import Fakerfrom pyecharts import options as optsfrom pyecharts.charts import Bar, Line,Pie,Tab,Page,Timelinefrom ponents import Tablefrom pyecharts.options import ComponentTitleOptsclass charts():def make(jira_finail_result):timeline_bar = Timeline().add_schema(is_auto_play=True,pos_top='7.5%',height='2%')timeline_pie = Timeline().add_schema(is_auto_play=True,pos_top='7.5%',height='2%')line_name = []line_data = []for jira_result in jira_finail_result:summarys = jira_result[0]components = jira_result[1]custom_fields = jira_result[2]reason_bugs = jira_result[3]labels = jira_result[4]x = Faker.choose()bar = (Bar().add_xaxis(list(components.keys())).add_yaxis("", list(components.values()))# .reversal_axis() #横向展示.set_global_opts(title_opts=opts.TitleOpts("{}".format(labels)),xaxis_opts=opts.AxisOpts(name_rotate=30, axislabel_opts={"rotate": 30})))timeline_bar.add(bar,'')#柱状图pie = (Pie().add("2", [list(z) for z in zip(list(custom_fields.keys()), list(custom_fields.values()))],radius=["40%", "70%"],label_opts=opts.LabelOpts(position="outside",formatter="{b}:{c}\n{per|{d}%}",background_color="#eee",border_color="#aaa",border_width=1,border_radius=2,rich={"a": {"color": "#989", "lineHeight": '44%', "align": "center"},"abg": {"backgroundColor": "#e3e3e3","width": "30%","align": "right","height": 21,"borderRadius": [0, 0, 0, 0],},"hr": {"borderColor": "#aaa","width": "71%","borderWidth": 12,"height": 12,},"b": {"fontSize": 15, "lineHeight": 10},"per": {"color": "#eee","backgroundColor": "#324456","padding": [0.5, 0.5],"borderRadius": 1,},},),)# .set_global_opts(title_opts=opts.TitleOpts(title="标题")) #小标题.set_global_opts(legend_opts=opts.LegendOpts(pos_left='83%'),title_opts=opts.TitleOpts(title="{}".format(labels)),tooltip_opts=opts.TooltipOpts(is_show=False, )))timeline_pie.add(pie, "")#饼图line_name.append(labels)line_data.append(len(summarys))analysetable = (Table().add( ["事件",'详情'],[['需求情况','填写实际的迭代的需求情况'],['bug情况','填写实际的迭代的bug情况'],['总结','对本次发布进行总结']]).set_global_opts(title_opts=ComponentTitleOpts(title="迭代总结")))#表格bug_list = []for one in reason_bugs:bug_list.append([reason_bugs[one],one])bugtable = (Table()#.add(["bug原因", 'jira号 概要'], [[1, 'sha'], [1, 2]]) # demo样例.add(["bug原因", 'jira号 概要'], bug_list).set_global_opts(title_opts=ComponentTitleOpts(title="Bug归因列表")))#bug列表清单line = (Line().add_xaxis(line_name,).add_yaxis("迭代测试bug数",line_data, is_smooth=True).set_series_opts(textstyle_opts=opts.TextStyleOpts(font_size=50)).set_global_opts(title_opts=opts.TitleOpts(title="迭代测试bug数"),xaxis_opts=opts.AxisOpts(name_gap=500,name_rotate=30,axislabel_opts={"rotate": 30},)))#折线图report_name = '测试报告'tab = (Tab().add(analysetable,'迭代总结').add(timeline_bar, '迭代bug功能模块统计').add(timeline_pie,'迭代bug归因分析').add(line,'迭代测试bug数').add(bugtable, 'bug列表'))#标签页tab.render('''../reports/''' + str(report_name) + ".html")#以标签页为格式生成图表
再创建一个run.py文件来调用前两个文件
from script.operationJira import jiraOperationfrom script.makeChart import chartsjira = jiraOperation.loginJira('url','username','password')#登录jira 这个地方填写自己公司的jira地址和账号密码jira_jql = ["""labels = 1128迭代测试bug ORDER BY component DESC""","""labels = 1219迭代测试bug ORDER BY component DESC""","""labels = "/1/9" ORDER BY component DESC""",#"""labels = "/1/9" ORDER BY component DESC""",]#每个迭代的jql放进去就好了jira_finail_result = []for jql in jira_jql:jira_result = jiraOperation.serchissues(jira,jql)#查询jira_result = list(jiraOperation.analytical(jira_result))jira_finail_result.append(jira_result)#对jira返回对象解析并整理成字典charts.make(jira_finail_result)#生成图表
效果如图
pyecharts官方文档
pyecharts - A Python Echarts Plotting Library built with love.
