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Repository: GoverSky/HTMLTestRunner_cn
Branch: master
Commit: 1792ed420e2a
Files: 9
Total size: 1.3 MB
Directory structure:
gitextract_ytdbk0_c/
├── .gitattributes
├── .gitignore
├── HTMLTestRunner_cn.py
├── README.md
├── changelog.md
├── sample_test_report.html
├── sample_test_report_appium.html
├── test_screenshot_appium.py
└── test_screenshot_selenium.py
================================================
FILE CONTENTS
================================================
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FILE: .gitattributes
================================================
*.py linguist-language=Python
*.html linguist-language=Python
================================================
FILE: .gitignore
================================================
# Created by .ignore support plugin (hsz.mobi)
### Python template
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
.idea/*
/.idea/*
Untitled.ipynb
/.ipynb_checkpoints/
================================================
FILE: HTMLTestRunner_cn.py
================================================
#-*- coding: utf-8 -*-
"""
A TestRunner for use with the Python unit testing framework. It
generates a HTML report to show the result at a glance.
The simplest way to use this is to invoke its main method. E.g.
import unittest
import HTMLTestRunner
... define your tests ...
if __name__ == '__main__':
HTMLTestRunner.main()
For more customization options, instantiates a HTMLTestRunner object.
HTMLTestRunner is a counterpart to unittest's TextTestRunner. E.g.
# output to a file
fp = file('my_report.html', 'wb')
runner = HTMLTestRunner.HTMLTestRunner(
stream=fp,
title='My unit test',
description='This demonstrates the report output by HTMLTestRunner.'
)
# Use an external stylesheet.
# See the Template_mixin class for more customizable options
runner.STYLESHEET_TMPL = '<link rel="stylesheet" href="my_stylesheet.css" type="text/css">'
# run the test
runner.run(my_test_suite)
------------------------------------------------------------------------
Copyright (c) 2004-2007, Wai Yip Tung
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name Wai Yip Tung nor the names of its contributors may be
used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
# URL: http://tungwaiyip.info/software/HTMLTestRunner.html
__author__ = "Wai Yip Tung"
__version__ = "0.8.3"
"""
Change History
Version 0.8.4 by GoverSky
* Add sopport for 3.x
* Add piechart for resultpiechart
* Add Screenshot for selenium_case test
* Add Retry on failed
Version 0.8.3
* Prevent crash on class or module-level exceptions (Darren Wurf).
Version 0.8.2
* Show output inline instead of popup window (Viorel Lupu).
Version in 0.8.1
* Validated XHTML (Wolfgang Borgert).
* Added description of test classes and test cases.
Version in 0.8.0
* Define Template_mixin class for customization.
* Workaround a IE 6 bug that it does not treat <script> block as CDATA.
Version in 0.7.1
* Back port to Python 2.3 (Frank Horowitz).
* Fix missing scroll bars in detail log (Podi).
"""
# TODO: color stderr
# TODO: simplify javascript using ,ore than 1 class in the class attribute?
import datetime
import sys
import unittest
import copy
import threading
from xml.sax import saxutils
from functools import cmp_to_key
PY3K = (sys.version_info[0] > 2)
if PY3K:
import io as StringIO
else:
import StringIO
# ------------------------------------------------------------------------
# The redirectors below are used to capture output during testing. Output
# sent to sys.stdout and sys.stderr are automatically captured. However
# in some cases sys.stdout is already cached before HTMLTestRunner is
# invoked (e.g. calling logging_demo.basicConfig). In order to capture those
# output, use the redirectors for the cached stream.
#
# e.g.
# >>> logging_demo.basicConfig(stream=HTMLTestRunner.stdout_redirector)
# >>>
class OutputRedirector(object):
""" Wrapper to redirect stdout or stderr """
def __init__(self, fp):
self.fp = fp
def write(self, s):
self.fp.write(s)
def writelines(self, lines):
self.fp.writelines(lines)
def flush(self):
self.fp.flush()
stdout_redirector = OutputRedirector(sys.stdout)
stderr_redirector = OutputRedirector(sys.stderr)
# ----------------------------------------------------------------------
# Template
class Template_mixin(object):
"""
Define a HTML template for report customerization and generation.
Overall structure of an HTML report
HTML
+------------------------+
|<html> |
| <head> |
| |
| STYLESHEET |
| +----------------+ |
| | | |
| +----------------+ |
| |
| </head> |
| |
| <body> |
| |
| HEADING |
| +----------------+ |
| | | |
| +----------------+ |
| |
| REPORT |
| +----------------+ |
| | | |
| +----------------+ |
| |
| ENDING |
| +----------------+ |
| | | |
| +----------------+ |
| |
| </body> |
|</html> |
+------------------------+
"""
STATUS = {
0: u'通过',
1: u'失败',
2: u'错误',
3:u'跳过',
}
DEFAULT_TITLE = 'Unit Test Report'
DEFAULT_DESCRIPTION = ''
# ------------------------------------------------------------------------
# HTML Template
HTML_TMPL = r"""<?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>%(title)s</title>
<meta name="generator" content="%(generator)s"/>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
%(stylesheet)s
</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, skip){
var color = ["#6c6","#c60","#c00","#808080"];
var data = [pass,fail,error,skip];
var text_arr = ["Pass", "Fail", "Error","Skip"];
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>
%(heading)s
<div class="piechart">
<div>
<canvas id="circle%(channel)s" width="350" height="168" </canvas>
</div>
</div>
%(report)s
%(ending)s
</body>
</html>
"""
# variables: (title, generator, stylesheet, heading, report, ending)
# ------------------------------------------------------------------------
# Stylesheet
#
# alternatively use a <link> for external style sheet, e.g.
# <link rel="stylesheet" href="$url" type="text/css">
STYLESHEET_TMPL = """
<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>
"""
# ------------------------------------------------------------------------
# Heading
#
HEADING_TMPL = """<div class='heading'>
<h1>%(title)s</h1>
%(parameters)s
<p class='description'>%(description)s</p>
</div>
""" # variables: (title, parameters, description)
HEADING_ATTRIBUTE_TMPL = """<p class='attribute'><strong>%(name)s:</strong> %(value)s</p>
""" # variables: (name, value)
# ------------------------------------------------------------------------
# Report
#
REPORT_TMPL = """
<div id='show_detail_line' style=" float: left; width: 100%%;">
<a class="abstract detail_button" href='javascript:showCase(0,%(channel)s)'>概要[%(Pass_p).2f%%]</a>
<a class="passed detail_button" href='javascript:showCase(1,%(channel)s)'>通过[%(Pass)s]</a>
<a class="failed detail_button" href='javascript:showCase(2,%(channel)s)'>失败[%(fail)s]</a>
<a class="errored detail_button" href='javascript:showCase(3,%(channel)s)'>错误[%(error)s]</a>
<a class="skiped detail_button" href='javascript:showCase(4,%(channel)s)'>跳过[%(skip)s]</a>
<a class="all detail_button" href='javascript:showCase(5,%(channel)s)'>所有[%(total)s]</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>
%(test_list)s
<tr id='total_row'>
<th>统计</th>
<th>%(count)s</th>
<th>%(Pass)s</th>
<th>%(fail)s</th>
<th>%(error)s</th>
<th> </th>
<th> </th>
</tr>
</table>
<script>
showCase(0,%(channel)s);
drawCircle('circle%(channel)s',%(Pass)s, %(fail)s, %(error)s, %(skip)s);
</script>
"""
# variables: (test_list, count, Pass, fail, error)
REPORT_CLASS_TMPL = r"""
<tr class='%(style)s'>
<td>%(desc)s</td>
<td>%(count)s</td>
<td>%(Pass)s</td>
<td>%(fail)s</td>
<td>%(error)s</td>
<td><a href="javascript:showClassDetail('%(cid)s',%(count)s)">详情</a></td>
<td> </td>
</tr>
""" # variables: (style, desc, count, Pass, fail, error, cid)
REPORT_TEST_WITH_OUTPUT_TMPL = r"""
<tr id='%(tid)s' class='%(Class)s'>
<td ><div class='testcase'>%(desc)s</div></td>
<td colspan='5' align='center'>
<!--css div popup start-->
<span class='status %(style)s'>
<a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_%(tid)s')" >
%(status)s</a></span>
<div id='div_%(tid)s' class="popup_window">
<div style='text-align: right; color:red;cursor:pointer'>
<a onfocus='this.blur();' onclick="document.getElementById('div_%(tid)s').style.display = 'none' " >
[x]</a>
</div>
<pre>
%(script)s
</pre>
</div>
<!--css div popup end-->
</td>
<td>%(img)s</td>
</tr>
""" # variables: (tid, Class, style, desc, status,img)
REPORT_TEST_NO_OUTPUT_TMPL = r"""
<tr id='%(tid)s' class='%(Class)s'>
<td><div class='testcase'>%(desc)s</div></td>
<td colspan='5' align='center'><span class='status %(style)s'>%(status)s</span></td>
<td>%(img)s</td>
</tr>
""" # variables: (tid, Class, style, desc, status,img)
REPORT_TEST_OUTPUT_TMPL = r"""
%(id)s: %(output)s
""" # variables: (id, output)
IMG_TMPL = r"""
<a onfocus='this.blur();' href="javascript:void(0);" onclick="show_img(this)">显示截图</a>
<div align="center" class="screenshots" style="display:none">
<a class="close_shots" onclick="hide_img(this)"></a>
%(imgs)s
<div class="imgyuan"></div>
</div>
"""
# ------------------------------------------------------------------------
# ENDING
#
ENDING_TMPL = """<div id='ending'> </div>"""
# -------------------- The end of the Template class -------------------
def __getattribute__(self, item):
value = object.__getattribute__(self, item)
if PY3K:
return value
else:
if isinstance(value, str):
return value.decode("utf-8")
else:
return value
TestResult = unittest.TestResult
class _TestResult(TestResult):
# note: _TestResult is a pure representation of results.
# It lacks the output and reporting ability compares to unittest._TextTestResult.
shouldStop=False
def __init__(self, verbosity=1, retry=0,save_last_try=False):
TestResult.__init__(self)
self.stdout0 = None
self.stderr0 = None
self.success_count = 0
self.failure_count = 0
self.error_count = 0
self.skip_count = 0
self.verbosity = verbosity
# result is a list of result in 4 tuple
# (
# result code (0: success; 1: fail; 2: error;3:skip),
# TestCase object,
# Test output (byte string),
# stack trace,
# )
self.result = []
self.retry = retry
self.trys = 0
self.status = 0
self.save_last_try = save_last_try
self.outputBuffer = StringIO.StringIO()
def startTest(self, test):
# test.imgs = []
test.imgs = getattr(test, "imgs", [])
# TestResult.startTest(self, test)
self.outputBuffer.seek(0)
self.outputBuffer.truncate()
stdout_redirector.fp = self.outputBuffer
stderr_redirector.fp = self.outputBuffer
self.stdout0 = sys.stdout
self.stderr0 = sys.stderr
sys.stdout = stdout_redirector
sys.stderr = stderr_redirector
def complete_output(self):
"""
Disconnect output redirection and return buffer.
Safe to call multiple times.
"""
if self.stdout0:
sys.stdout = self.stdout0
sys.stderr = self.stderr0
self.stdout0 = None
self.stderr0 = None
return self.outputBuffer.getvalue()
def stopTest(self, test):
# Usually one of addSuccess, addError or addFailure would have been called.
# But there are some path in unittest that would bypass this.
# We must disconnect stdout in stopTest(), which is guaranteed to be called.
if self.retry and self.retry>=1:
if self.status == 1:
self.trys += 1
if self.trys <= self.retry:
if self.save_last_try:
t = self.result.pop(-1)
if t[0]==1:
self.failure_count -=1
else:
self.error_count -= 1
test=copy.copy(test)
sys.stderr.write("Retesting... ")
sys.stderr.write(str(test))
sys.stderr.write('..%d \n' % self.trys)
doc = getattr(test,'_testMethodDoc',u"") or u''
if doc.find('_retry')!=-1:
doc = doc[:doc.find('_retry')]
desc ="%s_retry:%d" %(doc, self.trys)
if not PY3K:
if isinstance(desc, str):
desc = desc.decode("utf-8")
test._testMethodDoc = desc
test(self)
else:
self.status = 0
self.trys = 0
self.complete_output()
def addSuccess(self, test):
self.success_count += 1
self.status = 0
TestResult.addSuccess(self, test)
output = self.complete_output()
self.result.append((0, test, output, ''))
if self.verbosity > 1:
sys.stderr.write('P ')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('P')
def addFailure(self, test, err):
self.failure_count += 1
self.status = 1
TestResult.addFailure(self, test, err)
_, _exc_str = self.failures[-1]
output = self.complete_output()
self.result.append((1, test, output, _exc_str))
if not getattr(test, "driver",""):
pass
else:
try:
driver = getattr(test, "driver")
test.imgs.append(driver.get_screenshot_as_base64())
except Exception as e:
pass
if self.verbosity > 1:
sys.stderr.write('F ')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('F')
def addError(self, test, err):
self.error_count += 1
self.status = 1
TestResult.addError(self, test, err)
_, _exc_str = self.errors[-1]
output = self.complete_output()
self.result.append((2, test, output, _exc_str))
if not getattr(test, "driver",""):
pass
else:
try:
driver = getattr(test, "driver")
test.imgs.append(driver.get_screenshot_as_base64())
except Exception:
pass
if self.verbosity > 1:
sys.stderr.write('E ')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('E')
def addSkip(self, test, reason):
self.skip_count += 1
self.status = 0
TestResult.addSkip(self, test,reason)
output = self.complete_output()
self.result.append((3, test, output, reason))
if self.verbosity > 1:
sys.stderr.write('K')
sys.stderr.write(str(test))
sys.stderr.write('\n')
else:
sys.stderr.write('K')
class HTMLTestRunner(Template_mixin):
def __init__(self, stream=sys.stdout, verbosity=1, title=None, description=None,is_thread=False, retry=0,save_last_try=True):
self.stream = stream
self.retry = retry
self.is_thread=is_thread
self.threads= 5
self.save_last_try=save_last_try
self.verbosity = verbosity
self.run_times=0
if title is None:
self.title = self.DEFAULT_TITLE
else:
self.title = title
if description is None:
self.description = self.DEFAULT_DESCRIPTION
else:
self.description = description
def run(self, test):
"Run the given test case or test suite."
self.startTime = datetime.datetime.now()
result = _TestResult(self.verbosity, self.retry, self.save_last_try)
test(result)
self.stopTime = datetime.datetime.now()
self.run_times+=1
self.generateReport(result)
if PY3K:
# for python3
# print('\nTime Elapsed: %s' % (self.stopTime - self.startTime),file=sys.stderr)
output = '\nTime Elapsed: %s' % (self.stopTime - self.startTime)
sys.stderr.write(output)
else:
# for python2
print >> sys.stderr, '\nTime Elapsed: %s' % (self.stopTime - self.startTime)
return result
def sortResult(self, result_list):
# unittest does not seems to run in any particular order.
# Here at least we want to group them together by class.
rmap = {}
classes = []
for n, t, o, e in result_list:
cls = t.__class__
if not cls in rmap:
rmap[cls] = []
classes.append(cls)
rmap[cls].append((n, t, o, e))
for cls in classes:
rmap[cls].sort(key=cmp_to_key(lambda a,b:1 if a[1].id()>b[1].id() else ( 1 if a[1].id()==b[1].id() else -1)))
r = [(cls, rmap[cls]) for cls in classes]
# name = t.id().split('.')[-1]
r.sort(key=cmp_to_key(lambda a, b: 1 if a[0].__name__ > b[0].__name__ else -1))
return r
def getReportAttributes(self, result):
"""
Return report attributes as a list of (name, value).
Override this to add custom attributes.
"""
startTime = str(self.startTime)[:19]
duration = str(self.stopTime - self.startTime)
status = []
if result.success_count:
status.append(u'<span class="tj passCase">Pass</span>:%s' % result.success_count)
if result.failure_count:
status.append(u'<span class="tj failCase">Failure</span>:%s' % result.failure_count)
if result.error_count:
status.append(u'<span class="tj errorCase">Error</span>:%s' % result.error_count)
if result.skip_count:
status.append(u'<span class="tj skipCase">Skip</span>:%s' % result.skip_count)
total = result.success_count+result.failure_count+result.error_count + result.skip_count
if total>0:
passed = result.success_count*1.000/total*100
else:
passed =0.0
status.append(u'<span class="tj">通过率</span>:%.1f%%' % passed)
if status:
status = u' '.join(status)
else:
status = 'none'
return [
(u'开始时间', startTime),
(u'耗时', duration),
(u'状态', status),
]
def generateReport(self, result):
report_attrs = self.getReportAttributes(result)
generator = 'HTMLTestRunner %s' % __version__
stylesheet = self._generate_stylesheet()
heading = self._generate_heading(report_attrs)
report = self._generate_report(result)
ending = self._generate_ending()
output = self.HTML_TMPL % dict(
title=saxutils.escape(self.title),
generator=generator,
stylesheet=stylesheet,
heading=heading,
report=report,
ending=ending,
channel=self.run_times,
)
if PY3K:
self.stream.write(output.encode())
else:
self.stream.write(output.encode('utf8'))
def _generate_stylesheet(self):
return self.STYLESHEET_TMPL
def _generate_heading(self, report_attrs):
a_lines = []
for name, value in report_attrs:
line = self.HEADING_ATTRIBUTE_TMPL % dict(
name=name,
value=value,
)
a_lines.append(line)
heading = self.HEADING_TMPL % dict(
title=saxutils.escape(self.title),
parameters=''.join(a_lines),
description=saxutils.escape(self.description),
)
return heading
def _generate_report(self, result):
rows = []
sortedResult = self.sortResult(result.result)
for cid, (cls, cls_results) in enumerate(sortedResult):
# subtotal for a class
np = nf = ne = ns = 0
for n, t, o, e in cls_results:
if n == 0:
np += 1
elif n == 1:
nf += 1
elif n==2:
ne += 1
else:
ns +=1
# format class description
if cls.__module__ == "__main__":
name = cls.__name__
else:
name = "%s.%s" % (cls.__module__, cls.__name__)
doc = cls.__doc__ and cls.__doc__.split("\n")[0] or ""
desc = doc and '%s: %s' % (name, doc) or name
if not PY3K:
if isinstance(desc, str):
desc = desc.decode("utf-8")
row = self.REPORT_CLASS_TMPL % dict(
style=ne > 0 and 'errorClass' or nf > 0 and 'failClass' or 'passClass',
desc=desc,
count=np + nf + ne,
Pass=np,
fail=nf,
error=ne,
cid='c%s.%s' % (self.run_times,cid + 1),
)
rows.append(row)
for tid, (n, t, o, e) in enumerate(cls_results):
self._generate_report_test(rows, cid, tid, n, t, o, e)
total = result.success_count + result.failure_count + result.error_count +result.skip_count
report = self.REPORT_TMPL % dict(
test_list=u''.join(rows),
count=str(total),
Pass=str(result.success_count),
Pass_p=result.success_count*1.00/total*100 if total else 0.0,
fail=str(result.failure_count),
error=str(result.error_count),
skip=str(result.skip_count),
total=str(total),
channel=str(self.run_times),
)
return report
def _generate_report_test(self, rows, cid, tid, n, t, o, e):
# e.g. 'pt1.1', 'ft1.1', etc
has_output = bool(o or e)
if n==0:
tmp="p"
elif n==1:
tmp="f"
elif n==2:
tmp = "e"
else:
tmp = "s"
tid = tmp + 't%d.%d.%d' % (self.run_times,cid + 1, tid + 1)
name = t.id().split('.')[-1]
if self.verbosity > 1:
doc = getattr(t,'_testMethodDoc',"") or ''
else:
doc = ""
desc = doc and ('%s: %s' % (name, doc)) or name
if not PY3K:
if isinstance(desc, str):
desc = desc.decode("utf-8")
tmpl = has_output and self.REPORT_TEST_WITH_OUTPUT_TMPL or self.REPORT_TEST_NO_OUTPUT_TMPL
# o and e should be byte string because they are collected from stdout and stderr?
if isinstance(o, str):
# uo = unicode(o.encode('string_escape'))
if PY3K:
uo = o
else:
uo = o.decode('utf-8', 'ignore')
else:
uo = o
if isinstance(e, str):
# ue = unicode(e.encode('string_escape'))
if PY3K:
ue = e
elif e.find("Error") != -1 or e.find("Exception") != -1:
es = e.decode('utf-8', 'ignore').split('\n')
try:
if es[-2].find("\\u") != -1 or es[-2].find('"\\u') != -1:
es[-2] = es[-2].decode('unicode_escape')
except Exception:
pass
ue = u"\n".join(es)
else:
ue = e.decode('utf-8', 'ignore')
else:
ue = e
script = self.REPORT_TEST_OUTPUT_TMPL % dict(
id=tid,
output=saxutils.escape(uo + ue),
)
if getattr(t,'imgs',[]):
# 判断截图列表，如果有则追加
tmp = u""
for i, img in enumerate(t.imgs):
if i==0:
tmp+=""" <img src="data:image/jpg;base64,%s" style="display: block;" class="img"/>\n""" % img
else:
tmp+=""" <img src="data:image/jpg;base64,%s" style="display: none;" class="img"/>\n""" % img
imgs = self.IMG_TMPL % dict(imgs=tmp)
else:
imgs = u"""无截图"""
row = tmpl % dict(
tid=tid,
Class=(n == 0 and 'hiddenRow' or 'none'),
style=n == 2 and 'errorCase' or (n == 1 and 'failCase' or 'passCase'),
desc=desc,
script=script,
status=self.STATUS[n],
img=imgs,
)
rows.append(row)
if not has_output:
return
def _generate_ending(self):
return self.ENDING_TMPL
##############################################################################
# Facilities for running tests from the command line
##############################################################################
# Note: Reuse unittest.TestProgram to launch test. In the future we may
# build our own launcher to support more specific command line
# parameters like test title, CSS, etc.
class TestProgram(unittest.TestProgram):
"""
A variation of the unittest.TestProgram. Please refer to the base
class for command line parameters.
"""
def runTests(self):
# Pick HTMLTestRunner as the default test runner.
# base class's testRunner parameter is not useful because it means
# we have to instantiate HTMLTestRunner before we know self.verbosity.
if self.testRunner is None:
self.testRunner = HTMLTestRunner(verbosity=self.verbosity)
unittest.TestProgram.runTests(self)
main = TestProgram
##############################################################################
# Executing this module from the command line
##############################################################################
if __name__ == "__main__":
main(module=None)
================================================
FILE: README.md
================================================
# HTMLTestRunner 汉化版
在原版的基础上进行扩展和改造
# 当年改造初衷
+ 方便自己做汉化报告生成
+ 对自己积累知识的检验
+ 挑战下单文件报告都能做出什么花样
近两年不怎么搞UI自动化了，项目就一直没怎么更新（pytest香啊😅）
# todo
+ 多线程/多进程执行用例（数据统计逻辑要重新设计，还有兼容性问题😑）
+ UI 美化 (通过CDN集成一些成熟的js库~然后加5毛钱特效😜)
+ 与ddt的集成（目测基本就把源码收进来😏）
# 报告汉化，错误日志
# selenium/appium 截图
截图功能根据测试结果，当结果为fail或error时自动截图<br/>
截图方法在_TestResult 的测试结果收集中，报告使用的截图全部保存为base64编码，避免了报告图片附件的问题，可以根据自己使用的框架不同自行调整，selenium 使用的是get_screenshot_as_base64 方法获取页面截图的base64编码<br/>
因为要提取用例中的driver变量获取webdriver对象，所以要实现截图功能必须定义在用例中定义webdriver 为driver
```python
def setUp(self):
self.imgs=[] # （可选）初始化截图列表
self.driver = webdriver.Chrome()
```
或者
```python
@classmethod
def setUpClass(cls):
cls.driver = webdriver.Chrome()
```
也可以在测试过程中某一步骤自定义添加截图,比如<br/>
<br/>
生成报告后会统一进行展示<br/>
**Selenium截图轮播效果**<br/>
<br/>
**Appium效果轮播截图**<br/>
# 用例失败重试
根据unittest的运行机制，在stopTest 中判断测试结果，如果失败或出错status为1，判断是否需要重试；<br/>
在实例化HTMLTestRunner 对象时追加参数，retry，指定重试次数，如果save_last_try 为True ，一个用例仅显示最后一次测试的结果。
```python
HTMLTestRunner(title="带截图的测试报告", description="小试牛刀", stream=open("sample_test_report.html", "wb"), verbosity=2, retry=2, save_last_try=True)
```
如果save_last_try 为False，则显示所有重试的结果。
```python
HTMLTestRunner(title="带截图的测试报告", description="小试牛刀", stream=open("sample_test_report.html", "wb"), verbosity=2, retry=2, save_last_try=False)
```
运行中输出效果如下：<br/>
`注意：在python3 中因为unittest运行机制变动，在使用setUp/tearDown中初始化/退出driver时，会出现用例执行失败没有截图的问题，所以推荐使用样例中setUpClass/tearDownClass的用法`
================================================
FILE: changelog.md
================================================
# changelog
+ 20170925
- 测试报告完全汉化，包括错误日志的中文处理
- 针对selenium UI测试增加失败自动截图功能，截图自动轮播
- 增加失败自动重试功能
- 增加饼图统计
- 同时兼容python2.x 和3.x
+ 20180402
- 表格样式优化
- 修复部分bug
- 增加截图组，可展示多张截图，首次打开自动播放
- 增加仅展示最后一次运行结果，多次重试时，每个测试用例仅展示一次
+ 20181213
- 增加分类标签、通过率等，优化样式
- 修复部分框架在SetUP中失败导致测试中断的问题导致 ErrorHandle的问题
- 修复部分编码Bug
- 优化运行逻辑
- 对js代码优化，修复部分多次运行run导致结果异常的bug
+ 20200427
- 修复页面小错误 (fzk27)
+ 20200508
- 开放跳过测试的统计，完善饼图统计
================================================
FILE: sample_test_report.html
================================================
<?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>带截图的测试报告</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,skip){
var color = ["#6c6","#c60","#c00","#808080"];
var data = [pass,fail,error,skip];
var text_arr = ["Pass", "Fail", "Error","Skip"];
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>带截图的测试报告</h1>
<p class='attribute'><strong>开始时间:</strong> 2020-05-07 16:50:04</p>
<p class='attribute'><strong>耗时:</strong> 0:01:36.860445</p>
<p class='attribute'><strong>状态:</strong> <span class="tj passCase">Pass</span>:4 <span class="tj failCase">Failure</span>:2 <span class="tj errorCase">Error</span>:1 <span class="tj skipCase">Skip</span>:1 <span class="tj">通过率</span>:50.0%</p>
<p class='description'>小试牛刀</p>
</div>
<div class="piechart">
<div>
<canvas id="circle1" width="350" height="168" </canvas>
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<div id='show_detail_line' style=" float: left; width: 100%;">
<a class="abstract detail_button" href='javascript:showCase(0,1)'>概要[50.00%]</a>
<a class="passed detail_button" href='javascript:showCase(1,1)'>通过[4]</a>
<a class="failed detail_button" href='javascript:showCase(2,1)'>失败[2]</a>
<a class="errored detail_button" href='javascript:showCase(3,1)'>错误[1]</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[8]</a>
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<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='errorClass'>
<td>case_01</td>
<td>4</td>
<td>1</td>
<td>2</td>
<td>1</td>
<td><a href="javascript:showClassDetail('c1.1',4)">详情</a></td>
<td> </td>
</tr>
<tr id='pt1.1.1' class='hiddenRow'>
<td ><div class='testcase'>test_case1: 百度搜索
呵呵呵呵
</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_pt1.1.1')" >
通过</a></span>
<div id='div_pt1.1.1' class="popup_window">
<div style='text-align: right; color:red;cursor:pointer'>
<a onfocus='this.blur();' onclick="document.getElementById('div_pt1.1.1').style.display = 'none' " >
[x]</a>
</div>
<pre>
pt1.1.1: 本次校验没过？
超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长超级长
</pre>
</div>
<!--css div popup end-->
</td>
<td>无截图</td>
</tr>
<tr id='ft1.1.2' class='none'>
<td ><div class='testcase'>test_case2: 搜狗首页_retry:2</div></td>
<td colspan='5' align='center'>
<!--css div popup start-->
<span class='status failCase'>
<a class="popup_link" onfocus='this.blur();' href="javascript:showTestDetail('div_ft1.1.2')" >
失败</a></span>
<div id='div_ft1.1.2' class="popup_window">
<div style='text-align: right; color:red;cursor:pointer'>
<a onfocus='this.blur();' onclick="document.getElementById('div_ft1.1.2').style.display = 'none' " >
[x]</a>
</div>
<pre>
ft1.1.2: 本次校验没过？
Traceback (most recent call last):
File "E:/HTMLTestRunner/test_screenshot_selenium.py", line 61, in test_case2
self.assertTrue(False,"这是相当的睿智了")
AssertionError: False is not true : 这是相当的睿智了
</pre>
</div>
<!--css div popup end-->
</td>
<td>
<a onfocus='this.blur();' href="javascript:void(0);" onclick="show_img(this)">显示截图</a>
<div align="center" class="screenshots" style="display:none">
<a class="close_shots" onclick="hide_img(this)"></a>
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
gitextract_ytdbk0_c/ ├── .gitattributes ├── .gitignore ├── HTMLTestRunner_cn.py ├── README.md ├── changelog.md ├── sample_test_report.html ├── sample_test_report_appium.html ├── test_screenshot_appium.py └── test_screenshot_selenium.py
SYMBOL INDEX (56 symbols across 3 files)
FILE: HTMLTestRunner_cn.py
class OutputRedirector (line 127) | class OutputRedirector(object):
method __init__ (line 130) | def __init__(self, fp):
method write (line 133) | def write(self, s):
method writelines (line 136) | def writelines(self, lines):
method flush (line 139) | def flush(self):
class Template_mixin (line 151) | class Template_mixin(object):
method __getattribute__ (line 779) | def __getattribute__(self, item):
class _TestResult (line 793) | class _TestResult(TestResult):
method __init__ (line 797) | def __init__(self, verbosity=1, retry=0,save_last_try=False):
method startTest (line 823) | def startTest(self, test):
method complete_output (line 836) | def complete_output(self):
method stopTest (line 848) | def stopTest(self, test):
method addSuccess (line 880) | def addSuccess(self, test):
method addFailure (line 893) | def addFailure(self, test, err):
method addError (line 915) | def addError(self, test, err):
method addSkip (line 937) | def addSkip(self, test, reason):
class HTMLTestRunner (line 950) | class HTMLTestRunner(Template_mixin):
method __init__ (line 951) | def __init__(self, stream=sys.stdout, verbosity=1, title=None, descrip...
method run (line 968) | def run(self, test):
method sortResult (line 986) | def sortResult(self, result_list):
method getReportAttributes (line 1004) | def getReportAttributes(self, result):
method generateReport (line 1036) | def generateReport(self, result):
method _generate_stylesheet (line 1057) | def _generate_stylesheet(self):
method _generate_heading (line 1060) | def _generate_heading(self, report_attrs):
method _generate_report (line 1075) | def _generate_report(self, result):
method _generate_report_test (line 1129) | def _generate_report_test(self, rows, cid, tid, n, t, o, e):
method _generate_ending (line 1208) | def _generate_ending(self):
class TestProgram (line 1219) | class TestProgram(unittest.TestProgram):
method runTests (line 1225) | def runTests(self):
FILE: test_screenshot_appium.py
class case_01 (line 11) | class case_01(unittest.TestCase):
method setUpClass (line 14) | def setUpClass(cls):
method tearDownClass (line 24) | def tearDownClass(cls):
method add_img (line 28) | def add_img(self):
method setUp (line 33) | def setUp(self):
method cleanup (line 37) | def cleanup(self):
method test_case1 (line 41) | def test_case1(self):
FILE: test_screenshot_selenium.py
class case_01 (line 13) | class case_01(unittest.TestCase):
method setUpClass (line 23) | def setUpClass(cls):
method tearDownClass (line 27) | def tearDownClass(cls):
method add_img (line 30) | def add_img(self):
method setUp (line 34) | def setUp(self):
method cleanup (line 39) | def cleanup(self):
method test_case1 (line 43) | def test_case1(self):
method test_case2 (line 57) | def test_case2(self):
method test_case3 (line 63) | def test_case3(self):
method test_case4 (line 70) | def test_case4(self):
class case_02 (line 78) | class case_02(unittest.TestCase):
method setUpClass (line 88) | def setUpClass(cls):
method tearDownClass (line 92) | def tearDownClass(cls):
method add_img (line 95) | def add_img(self):
method setUp (line 99) | def setUp(self):
method cleanup (line 104) | def cleanup(self):
method test_case1 (line 108) | def test_case1(self):
method test_case2 (line 122) | def test_case2(self):
method test_case3 (line 128) | def test_case3(self):
method test_case4 (line 135) | def test_case4(self):
Condensed preview — 9 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (1,328K chars).
[
{
"path": ".gitattributes",
"chars": 61,
"preview": "*.py linguist-language=Python\n*.html linguist-language=Python"
},
{
"path": ".gitignore",
"chars": 1814,
"preview": "# Created by .ignore support plugin (hsz.mobi)\n### Python template\n# Byte-compiled / optimized / DLL files\n__pycache__/\n"
},
{
"path": "HTMLTestRunner_cn.py",
"chars": 89669,
"preview": "#-*- coding: utf-8 -*-\n\"\"\"\nA TestRunner for use with the Python unit testing framework. It\ngenerates a HTML report to sh"
},
{
"path": "README.md",
"chars": 1625,
"preview": "# HTMLTestRunner 汉化版\n在原版的基础上进行扩展和改造\n\n# 当年改造初衷\n + 方便自己做汉化报告生成\n + 对自己积累知识的检验\n + 挑战下单文件报告都能做出什么花样\n 近两年不怎么搞UI自动化了，项目就一直没怎么更新"
},
{
"path": "changelog.md",
"chars": 477,
"preview": "# changelog\n\n+ 20170925\n - 测试报告完全汉化，包括错误日志的中文处理\n - 针对selenium UI测试增加失败自动截图功能，截图自动轮播\n - 增加失败自动重试功能\n - 增加饼图统计\n"
},
{
"path": "sample_test_report.html",
"chars": 1040349,
"preview": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<!DOCTYPE html PUBLIC \"-//W3C//DTD XHTML 1.0 Strict//EN\" \"http://www.w3.org/TR/xh"
},
{
"path": "sample_test_report_appium.html",
"chars": 181131,
"preview": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<!DOCTYPE html PUBLIC \"-//W3C//DTD XHTML 1.0 Strict//EN\" \"http://www.w3.org/TR/xh"
},
{
"path": "test_screenshot_appium.py",
"chars": 1519,
"preview": "# -*- coding: utf-8 -*-\n# @Time : 2017/9/6 11:26\n# @File : aaa.py\n# @Author : 守望@天空~\n\"\"\"HTMLTestRunner 截图版示例 appi"
},
{
"path": "test_screenshot_selenium.py",
"chars": 3790,
"preview": "# -*- coding: utf-8 -*-\n# @Time : 2017/9/6 11:26\n# @File : aaa.py\n# @Author : 守望@天空~\n\"\"\"HTMLTestRunner 截图版示例 sele"
}
]
About this extraction
This page contains the full source code of the GoverSky/HTMLTestRunner_cn GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 9 files (1.3 MB), approximately 833.0k tokens, and a symbol index with 56 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.