python解析robot framework的output.xml，并生成html

一、背景

Jenkins自动构建RF脚本，生成的RF特有HTML报告不能正常打开。

需求：用Python解析测试报告的xml数据，放在普通HTML文件中打开

二、output.xml数据

三、用pyh模块解析stat结点数据（output.py）

 #coding=utf-8
 '''
 Created on 2016年4月12日

 @author: cmcc
 '''

 import xml.dom.minidom
 import xml.etree.ElementTree

 #打开xml文档
 dom = xml.dom.minidom.parse('output.xml');

 root2 = xml.etree.ElementTree.parse('output.xml')
 #得到文档元素对象
 root = dom.documentElement 

 total = root.getElementsByTagName('total');
 total_len = len(total)
 tag = root.getElementsByTagName('tag');
 tag_len = len(tag)
 suite = root.getElementsByTagName('suite');
 suite_len = len(suite)

 #total的stat节点个数
 total2 = root2.getiterator("total")
 total_stat_num = len(total2[total_len-1].getchildren())
 #tag的stat节点个数
 tag2 = root2.getiterator("tag")
 tag_stat_num = len(tag2[tag_len-1].getchildren())
 #suite的stat节点个数
 suite2 = root2.getiterator("suite")
 suite_stat_num = len(suite2[suite_len-1].getchildren())

 statlist = root.getElementsByTagName('stat');

 def get_total_statistics():
     list = []
     for i in range(0,total_stat_num):
         d = dict()
         d['fail'] = int(statlist[i].getAttribute("fail"))
         d['pass'] = int(statlist[i].getAttribute("pass"))
         d['total'] = d['fail']+d['pass']
         d['text'] = statlist[i].firstChild.data
         list.append(d)
         #print 'total:'+d['fail']+', '+d['pass']+', '+d['text']

     return list
 # list =  get_total_statistics()
 # print list
 # print list[0]['fail']

 def get_statistics_by_tag():
     list = []
     for i in range(total_stat_num,total_stat_num+tag_stat_num):
         d = dict()
         d['fail'] = int(statlist[i].getAttribute("fail"))
         d['pass'] = int(statlist[i].getAttribute("pass"))
         d['total'] = d['fail']+d['pass']
         d['text'] = statlist[i].firstChild.data
         list.append(d)
         #print 'total:'+d['fail']+', '+d['pass']+', '+d['text']

     return list

 def get_statistics_by_suite():
     list = []
     for i in range(total_stat_num+tag_stat_num,len(statlist)):
         d = dict()
         d['fail'] = int(statlist[i].getAttribute("fail"))
         d['pass'] = int(statlist[i].getAttribute("pass"))
         d['total'] = d['fail']+d['pass']
         d['text'] = statlist[i].firstChild.data
         list.append(d)
         #print 'total:'+d['fail']+', '+d['pass']+', '+d['text']

     return list

四、pyh生成带表格的HTML（report.py）

 #coding=utf-8
 from pyh import *
 from msilib.schema import Font
 from output import *

 page = PyH('My wonderful PyH page')

 page << h2('Total statistics')

 value = get_total_statistics()
 print value

 mytab = page << table(border='')
 mytr = mytab << tr()
 mytr << th("Total Statistics",width="",bgcolor="#CCFFCC")+th("total",width="",bgcolor="#CCFFCC")+th("pass",width="",bgcolor="#CCFFCC")+th("fail",width="",bgcolor="#CCFFCC")
 for i in range(len(value)):
     mytr = mytab << tr()
     mytr << td(value[i]['text'])+td(value[i]['total'])+td(value[i]['pass'])+td(value[i]['fail'])

 value = get_statistics_by_tag()
 page << br()
 mytab2 = page << table(border='')
 mytr = mytab2 << tr()
 mytr << th("Statistics by Tag",width="",bgcolor="#CCFFCC")+th("total",width="",bgcolor="#CCFFCC")+th("pass",width="",bgcolor="#CCFFCC")+th("fail",width="",bgcolor="#CCFFCC")
 for i in range(1,len(value)):
     mytr = mytab2 << tr()
     mytr << td(value[i]['text'])+td(value[i]['total'])+td(value[i]['pass'])+td(value[i]['fail'])

 value = get_statistics_by_suite()
 page << br()
 mytab3 = page << table(border='')
 mytr = mytab3 << tr()
 mytr << th("Statistics by Suite",width="",bgcolor="#CCFFCC")+th("total",width="",bgcolor="#CCFFCC")+th("pass",width="",bgcolor="#CCFFCC")+th("fail",width="",bgcolor="#CCFFCC")
 for i in range(1,len(value)):
     mytr = mytab3 << tr()
     mytr << td(value[i]['text'])+td(value[i]['total'])+td(value[i]['pass'])+td(value[i]['fail'])

 page.printOut('table.html')

五、生成效果