2020-08-24 17_52_32_result.html
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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<title>搜索功能测试报告</title>
<meta name="generator" content="HTMLTestRunner 0.8.3"/>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
<style type="text/css" media="screen">
body { font-family: verdana, arial, helvetica, sans-serif; font-size: 80%; }
table { font-size: 100%; }
pre {
white-space: pre-wrap;
word-wrap: break-word;
}
/* -- heading ---------------------------------------------------------------------- */
h1 {
font-size: 16pt;
color: gray;
}
.heading {
float:left;
width:30%;
margin-top: 0ex;
margin-bottom: 1ex;
}
.heading .attribute {
margin-top: 1ex;
margin-bottom: 0;
}
.heading .description {
margin-top: 4ex;
margin-bottom: 6ex;
}
/* -- css div popup ------------------------------------------------------------------------ */
a.popup_link {
}
a.popup_link:hover {
color: red;
}
.img{
height: 100%;
border-collapse: collapse;
border: 2px solid #777;
}
.screenshots {
z-index: 100;
position:fixed;
height: 80%;
left: 50%;
top: 50%;
transform: translate(-50%,-50%);
display: none;
}
.imgyuan{
height: 20px;
border-radius: 12px;
background-color: red;
padding-left: 13px;
margin: 0 auto;
position: relative;
top: -40px;
background-color: rgba(1, 150, 0, 0.3);
}
.imgyuan font{
border:1px solid white;
width:11px;
height:11px;
border-radius:50%;
margin-right: 9px;
margin-top: 4px;
display: block;
float: left;
background-color: white;
}
.close_shots {
background-image: 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);
background-size: 22px 22px;
-moz-background-size: 22px 22px;
background-repeat: no-repeat;
position: absolute;
top: 5px;
right: 5px;
height: 22px;
z-index: 99;
width: 22px;
}
.popup_window {
display: none;
position: relative;
left: 0px;
top: 0px;
padding: 10px;
background-color: #E6E6D6;
font-family: "Lucida Console", "Courier New", Courier, monospace;
text-align: left;
font-size: 8pt;
}
}
/* -- report ------------------------------------------------------------------------ */
#show_detail_line {
float:left;
width:100%;
margin-top: 3ex;
margin-bottom: 1ex;
}
#result_table {
margin: 1em 0;
width: 100%;
overflow: hidden;
background: #FFF;
color: #024457;
border-radius: 10px;
border: 1px solid #167F92;
}
#result_table th {
border: 1px solid #FFFFFF;
background-color: #167F92;
color: #FFF;
padding: 0.5em;
&:first-child {
display: table-cell;
text-align: center;
}
&:nth-child(2) {
display: table-cell;
span {display:none;}
&:after {content:attr(data-th);}
}
@media (min-width: 480px) {
&:nth-child(2) {
span {display: block;}
&:after {display: none;}
}
}
}
#result_table td {
word-wrap: break-word;
max-width: 7em;
padding: 0.3em;
&:first-child {
display: table-cell;
text-align: center;
}
@media (min-width: 400px) {
border: 1px solid #D9E4E6;
}
}
#result_table th, td {
margin: .5em 1em;
@media (min-width: 400px) {
display: table-cell;
padding: 1em;
}
}
#total_row { font-weight: bold; }
.passClass { background-color: #6c6; !important ;}
.failClass { background-color: #c60; !important ;}
.errorClass { background-color: #c00; !important ; }
.passCase { color: #6c6; }
.failCase { color: #c60; font-weight: bold; }
.errorCase { color: #c00; font-weight: bold; }
.skipCase { color:#908e8e; font-weight: bold; }
tr[id^=pt] td { background-color: rgba(73,204,144,.3) !important ; }
tr[id^=ft] td { background-color: rgba(252,161,48,.3) !important; }
tr[id^=et] td { background-color: rgba(249,62,62,.3) !important ; }
tr[id^=st] td { background-color: #6f6f6fa1 !important ; }
.hiddenRow { display: none; }
.testcase { margin-left: 2em; }
/* -- ending ---------------------------------------------------------------------- */
#ending {
}
.detail_button {
width: 130px;
text-decoration: none;
line-height: 38px;
text-align: center;
font-weight: bold;
color: #ffff;
border-radius: 6px;
padding: 5px 10px 5px 10px;
position: relative;
overflow: hidden;
}
.detail_button.abstract{background-color: #4dbee8;}
.detail_button.passed{ background-color: #66cc66;}
.detail_button.failed{ background-color: #cc6600;}
.detail_button.errored{ background-color: #f54f4f;}
.detail_button.skiped{ background-color: gray;}
.detail_button.all{ background-color: blue;}
.piechart{
width: 200px;
float: left;
display: inline;
}
</style>
</head>
<body>
<script language="javascript" type="text/javascript">
output_list = Array();
/* level - 0:Summary; 1:Passed; 2:Failed; 3:Errored; 4:Skiped; 5:All */
function showCase(level,channel) {
trs = document.getElementsByTagName("tr");
for (var i = 0; i < trs.length; i++) {
tr = trs[i];
id = tr.id;
if (["ft","pt","et","st"].indexOf(id.substr(0,2))!=-1){
if ( level ==0 && id.substr(2,1)==channel ) {
tr.className = 'hiddenRow';
}
}
if (id.substr(0,3) == 'pt'+channel) {
if ( level==1){
tr.className = '';
}
else if (level>4 && id.substr(2,1)==channel ){
tr.className = '';
}
else {
tr.className = 'hiddenRow';
}
}
if (id.substr(0,3) == 'ft'+channel) {
if (level ==2) {
tr.className = '';
}
else if (level>4 && id.substr(2,1)==channel ){
tr.className = '';
}
else {
tr.className = 'hiddenRow';
}
}
if (id.substr(0,3) == 'et'+channel) {
if (level ==3) {
tr.className = '';
}
else if (level>4 && id.substr(2,1)==channel ){
tr.className = '';
}
else {
tr.className = 'hiddenRow';
}
}
if (id.substr(0,3) == 'st'+channel) {
if (level ==4) {
tr.className = '';
}
else if (level>4 && id.substr(2,1)==channel ){
tr.className = '';
}
else {
tr.className = 'hiddenRow';
}
}
}
}
function showClassDetail(cid, count) {
var id_list = Array(count);
var toHide = 1;
for (var i = 0; i < count; i++) {
tid0 = 't' + cid.substr(1) + '.' + (i+1);
tid = 'f' + tid0;
tr = document.getElementById(tid);
if (!tr) {
tid = 'p' + tid0;
tr = document.getElementById(tid);
}
if (!tr) {
tid = 'e' + tid0;
tr = document.getElementById(tid);
}
if (!tr) {
tid = 's' + tid0;
tr = document.getElementById(tid);
}
id_list[i] = tid;
if (tr.className) {
toHide = 0;
}
}
for (var i = 0; i < count; i++) {
tid = id_list[i];
if (toHide) {
document.getElementById(tid).className = 'hiddenRow';
}
else {
document.getElementById(tid).className = '';
}
}
}
function showTestDetail(div_id){
var details_div = document.getElementById(div_id)
var displayState = details_div.style.display
// alert(displayState)
if (displayState != 'block' ) {
displayState = 'block'
details_div.style.display = 'block'
}
else {
details_div.style.display = 'none'
}
}
function html_escape(s) {
s = s.replace(/&/g,'&');
s = s.replace(/</g,'<');
s = s.replace(/>/g,'>');
return s;
}
function drawCircle(circle,pass, fail, error){
var color = ["#6c6","#c60","#c00"];
var data = [pass,fail,error];
var text_arr = ["Pass", "Fail", "Error"];
var canvas = document.getElementById(circle);
var ctx = canvas.getContext("2d");
var startPoint=0;
var width = 20, height = 10;
var posX = 112 * 2 + 20, posY = 30;
var textX = posX + width + 5, textY = posY + 10;
for(var i=0;i<data.length;i++){
ctx.fillStyle = color[i];
ctx.beginPath();
ctx.moveTo(112,84);
ctx.arc(112,84,84,startPoint,startPoint+Math.PI*2*(data[i]/(data[0]+data[1]+data[2])),false);
ctx.fill();
startPoint += Math.PI*2*(data[i]/(data[0]+data[1]+data[2]));
ctx.fillStyle = color[i];
ctx.fillRect(posX, posY + 20 * i, width, height);
ctx.moveTo(posX, posY + 20 * i);
ctx.font = 'bold 14px';
ctx.fillStyle = color[i];
var percent = text_arr[i] + ":"+data[i];
ctx.fillText(percent, textX, textY + 20 * i);
}
}
function show_img(obj) {
var obj1 = obj.nextElementSibling
obj1.style.display='block'
var index = 0;//每张图片的下标，
var len = obj1.getElementsByTagName('img').length;
var imgyuan = obj1.getElementsByClassName('imgyuan')[0]
//var start=setInterval(autoPlay,500);
obj1.onmouseover=function(){//当鼠标光标停在图片上，则停止轮播
clearInterval(start);
}
obj1.onmouseout=function(){//当鼠标光标停在图片上，则开始轮播
start=setInterval(autoPlay,1000);
}
for (var i = 0; i < len; i++) {
var font = document.createElement('font')
imgyuan.appendChild(font)
}
var lis = obj1.getElementsByTagName('font');//得到所有圆圈
changeImg(0)
var funny = function (i) {
lis[i].onmouseover = function () {
index=i
changeImg(i)
}
}
for (var i = 0; i < lis.length; i++) {
funny(i);
}
function autoPlay(){
if(index>len-1){
index=0;
clearInterval(start); //运行一轮后停止
}
changeImg(index++);
}
imgyuan.style.width= 25*len +"px";
//对应圆圈和图片同步
function changeImg(index) {
var list = obj1.getElementsByTagName('img');
var list1 = obj1.getElementsByTagName('font');
for (i = 0; i < list.length; i++) {
list[i].style.display = 'none';
list1[i].style.backgroundColor = 'white';
}
list[index].style.display = 'block';
list1[index].style.backgroundColor = 'blue';
}
}
function hide_img(obj){
obj.parentElement.style.display = "none";
obj.parentElement.getElementsByClassName('imgyuan')[0].innerHTML = "";
}
</script>
<div class='heading'>
<h1>搜索功能测试报告</h1>
<p class='attribute'><strong>开始时间:</strong> 2020-08-24 17:52:32</p>
<p class='attribute'><strong>耗时:</strong> 0:00:00</p>
<p class='attribute'><strong>状态:</strong> <span class="tj skipCase">Skip</span>:1 <span class="tj">通过率</span>:0.0%</p>
<p class='description'>用例执行情况：</p>
</div>
<div class="piechart">
<div>
<canvas id="circle1" width="350" height="168" </canvas>
</div>
</div>
<div id='show_detail_line' style=" float: left; width: 100%;">
<a class="abstract detail_button" href='javascript:showCase(0,1)'>概要[0.00%]</a>
<a class="passed detail_button" href='javascript:showCase(1,1)'>通过[0]</a>
<a class="failed detail_button" href='javascript:showCase(2,1)'>失败[0]</a>
<a class="errored detail_button" href='javascript:showCase(3,1)'>错误[0]</a>
<a class="skiped detail_button" href='javascript:showCase(4,1)'>跳过[1]</a>
<a class="all detail_button" href='javascript:showCase(5,1)'>所有[0]</a>
</div>
<table id='result_table'>
<colgroup>
<col align='left' />
<col align='right' />
<col align='right' />
<col align='right' />
<col align='right' />
<col align='right' />
<col align='right' />
</colgroup>
<tr id='header_row'>
<th>测试组/测试用例</th>
<th>总数</th>
<th>通过</th>
<th>失败</th>
<th>错误</th>
<th>视图</th>
<th>错误截图</th>
</tr>
<tr class='passClass'>
<td>test_skip_demo.test_skipclass.test_skipclass_demo1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td><a href="javascript:showClassDetail('c1.1',0)">详情</a></td>
<td> </td>
</tr>
<tr id='st1.1.1' class='none'>
<td ><div class='testcase'>test_2_skipclass</div></td>
<td colspan='5' align='center'>
<!--css div popup start-->
<span class='status passCase'>
<a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_st1.1.1')" >
跳过</a></span>
<div id='div_st1.1.1' class="popup_window">
<div style='text-align: right; color:red;cursor:pointer'>
<a onfocus='this.blur();' onclick="document.getElementById('div_st1.1.1').style.display = 'none' " >
[x]</a>
</div>
<pre>
st1.1.1: skip directly
</pre>
</div>
<!--css div popup end-->
</td>
<td>无截图</td>
</tr>
<tr id='total_row'>
<th>统计</th>
<th>0</th>
<th>0</th>
<th>0</th>
<th>0</th>
<th> </th>
<th> </th>
</tr>
</table>
<script>
showCase(0,1);
drawCircle('circle1',0, 0, 0);
</script>
<div id='ending'> </div>
</body>
</html>