</p> <h1>RSelenium: Testing Shiny Apps</h1> <h2>Introduction</h2> <p>The goal of this vignette is to give a basic overview of how one might approach &ldquo;testing&rdquo; a shiny app. <a href="http://www.rstudio.com/shiny/">Shiny</a> is a new package from <a href="http://www.rstudio.com/">RStudio</a> that makes it dramatically easier to build interactive web applications with R. Shiny Uses a reactive programming model and has built-in widgets derived from the <a href="http://getbootstrap.com/javascript/">Bootstrap</a> front-end framework. In this vignette we will looking at writing unit tests for a simple shiny wep app. The testing package we will use is <a href="https://github.com/hadley/testthat">testthat</a> which has a short introduction <a href="http://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf">here</a>. I am using <code>testthat</code> version 0.8. The version on cran is version 0.7.1 and may give trouble for tests where I manipulate the test environment. You can install 0.8 from github <code>devtools::install_github(&quot;testthat&quot;, &quot;hadley&quot;)</code></p> <p>This vignette is divided into five main sections:</p> <ul> <li><a href="#id1">Some thoughts on testing.</a></li> <li><a href="#id2">The shiny test app.</a></li> <li><a href="#id3">Basic tests.</a></li> <li><a href="#id4">Testing the Controls.</a></li> <li><a href="#id5">Testing the Output.</a></li> <li><a href="#id6">Further Tests.</a></li> </ul> <p>Each section will be an introduction to an idea in testing shiny apps with Selenium, and point to more detailed explanation in other vignettes.</p> <h2><a id="id1">Some thoughts on testing.</a></h2> <h3>Why test?</h3> <p>When faced with testing for the first time the natural reaction is to think what now? what do i test? how much/many tests do I write? Tests need to do something useful to survive. Automated tests should help the team to make the next move by providing justified confidence a bug has been fixed, confirming refactored code still works as intended, or demonstrating that new features have been successfully implemented. There should be sufficient tests – neither more nor less: more increase the support burden, fewer leave us open to unpleasant surprises in production.</p> <p>One way to create our tests is to take the view of the user. What does the user want to do? They want to see this particular graph of a given data set. How do they do that? They select various options and input various choices. From this list of actions we can create an outline of our code for the test. </p> <p>For each method, we need to work out how to implement it in code. How could an automated test select the sliderInput bar? Do alternative ways exist? An understanding of HTML, CSS, and JavaScript will help you if you plan to use browser automation tools. All the visible elements of a web application are reflected in the Document Object Model (DOM) in HTML, and they can be addressed in various ways. Some simple examples of interacting with the DOM using <code>RSelenium</code> are given in the <code>Rselenium-basic</code> vignette.</p> <h3>Vary the tests.</h3> <p>Having static tests can lead to problems. Introducing variance into the tests can help pick up unexpected errors. This can be achieved by introducing an element of randomness into automatic inputs or randomizing order of selection etc.</p> <h3>Vary the browsers/OS.</h3> <p>It can help to test against a variety of browsers and operating systems. <code>RSelenium</code> can interact with services like <a href="http://saucelabs.com/">sauceLabs</a>. <code>sauceLabs</code> allows one to choose the browser or operating system or the version of the selenium server to use. You can test with iOS/Android/Windows/Mac/Linux and browsers like firefox/chrome/ie/opera/safari. This can be very useful to test how your app works on a range of platforms. More detailed information and examples can be seen on the sauceLabs vignette.</p> <h3>Record the tests.</h3> <p>RSelenium has the ability to take screenshots of the browser at a particular point in time. On failure of a test a screenshot can be useful to understand what happened. If you interface RSelenium with <code>sauceLabs</code> you get screenshots and videos automatically. See the sauceLabs vignette for further details.</p> <h3>Test for fixes.</h3> <p>Lots of bugs are discovered by means other than automated testing – they might be reported by users, for example. Once these bugs are fixed, the fixes must be tested. The tests must establish whether the problem has been fixed and, where practical, show that the root cause has been addressed. Since we want to make sure the bug doesn’t resurface unnoticed in future releases, having automated tests for the bug seems sensible.</p> <h2><a id="id2">The shiny test app.</a></h2> <h3>Introduction</h3> <p>The shiny test app is composed of various widgets from the shiny package (0.8.0.99 at time of writing). We have also included the <code>ggplot2</code> library as output for one of the charts adapted from a discussion on <a href="http://stackoverflow.com/questions/11687739/two-legends-based-on-different-datasets-with-ggplot2">stackoverflow</a>. The app includes examples of some of the controls included with the <code>shiny</code> package namely <code>selectInput</code>, <code>numericInput</code>, <code>dateRangeInput</code> and a <code>sliderInput</code>. These controls are used to produce output rendered using <code>renderPrint</code>, <code>renderPlot(base)</code> , <code>renderPlot(ggplot2)</code> and <code>renderDataTable</code>. The app can be viewed if you have <code>shiny</code> installed. </p> <pre><code>require(shiny) runApp(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp&quot;), port = 6012) </code></pre> <p>Alternatively there is a version of the app running on the <code>RStudio</code> test server <code>spark</code> at <a href="http://spark.rstudio.com/johnharrison/shinytestapp/"><code>http://spark.rstudio.com/johnharrison/shinytestapp/</code></a>.</p> <p>An image of the app using <code>RSelenium</code> on a windows 8.1 machine running firefox 26.0</p> <h6 align = center>shinytestapp on win 8.1 firefox 26.0</h6> <p><img src="data:image/png;base64,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" title = "shinytestapp on win 8.1 firefox 26.0"/></p> <p>The image was generated using <code>RSelenium</code> and the following code.</p> <pre><code>user &lt;- &quot;rselenium0&quot; pass &lt;- &quot;***************************&quot; port &lt;- 80 ip &lt;- paste0(user, &#39;:&#39;, pass, &quot;@ondemand.saucelabs.com&quot;) browser &lt;- &quot;firefox&quot; version &lt;- &quot;26&quot; platform &lt;- &quot;Windows 8.1&quot; extraCapabilities &lt;- list(name = &quot;shinytestapp screenshot&quot;, username = user, accessKey = pass) remDr &lt;- remoteDriver$new(remoteServerAddr = ip, port = port, browserName = browser , version = version, platform = platform , extraCapabilities = extraCapabilities) remDr$open() remDr$navigate(&quot;http://spark.rstudio.com/johnharrison/shinytestapp/&quot;) webElems &lt;- remDr$findElements(&quot;css selector&quot;, &quot;#ctrlSelect input&quot;) lapply(webElems, function(x){x$clickElement()}) scr &lt;- remDr$screenshot(display = TRUE) </code></pre> <h3>Observations</h3> <p>From the screenshot we retrieved from the remote Driver there are some interesting observations to make. Note that the <code>selectInput</code> and <code>numericInput</code> boxes are sticking out. This is occuring because the sidePanel is given a bootstrap span of 3. This is however fluid. The resolution on the remote machine is low so the pixel count on the span 3 is also low. On a local machine with high resolution (Nothing amazing just a laptop) we did not observe the <code>selectInput</code> and <code>numericInput</code> boxes sticking out. </p> <p>We could have run with a higher resolution by passing the additional <code>screen-resolution</code> parameter to <code>sauceLabs</code>. </p> <pre><code>extraCapabilities &lt;- list(name = &quot;shinytestapp screenshot&quot;, username = user , accessKey = pass, &quot;screen-resolution&quot; = &quot;1280x1024&quot;) </code></pre> <h6 align = center>shinytestapp on win 8.1 firefox 26.0 res 1280x1024</h6> <p><img src="data:image/png;base64,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" title = "shinytestapp on win 8.1 firefox 26.0 res 1280x1024"/></p> <p>We can see things look a bit better but the <code>data-table</code> search box is a bit compacted.</p> <h3>Inputs and Outputs</h3> <p>The app is designed to show testing of the basic shiny components. It is a bit contrived so testing it may not be as natural as testing a live working app. The outputs (charts and tables) are designed to sit side by side if possible with a maximum of 2 on a &ldquo;row&rdquo; then drop down to the next &ldquo;row&rdquo;. We can test to see if this is happening by checking the posistionof elements. We will investigate this later. </p> <h2><a id="id3">Basic tests.</a></h2> <h3>Basic Functionality</h3> <p>The first test we will look at implementing will be basic connection to the app. Typically we would make a request for the page and then observe what status code was returned. Selenium doesnt currently give the html status code of a navigation request so instead we will check if the title of the web page is correct. Our <code>Shiny Test App</code> has a title of &ldquo;Shiny Test App&rdquo; so we will check for this.</p> <p>We create a <code>test/</code> directory in our <code>Shiny Test App</code> folder. The first set of tests will be basic so we create a file <code>test-basic.r</code>. In this file we have the following code to start with:</p> <pre><code>context(&quot;basic&quot;) library(RSelenium) library(testthat) remDr &lt;- remoteDriver() remDr$open(silent = TRUE) appURL &lt;- &quot;http://127.0.0.1:6012&quot; test_that(&quot;can connect to app&quot;, { remDr$navigate(appURL) appTitle &lt;- remDr$getTitle()[[1]] expect_equal(appTitle, &quot;Shiny Test App&quot;) }) remDr$close() </code></pre> <p>We have a context of &ldquo;basic&rdquo; for the tests in this file. The test &ldquo;can connect to app&rdquo; simply navigates to the app URL and attempts to get the page title. If the page title is &ldquo;Shiny Test App&rdquo; the test is deemed successful. For testing purposes we assume the app is running locally. The easiest way to do this is open a second R session and issue the command: <code>runApp(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp&quot;), port = 6012)</code>. The second R session will listen for connection on port 6012 and return the <code>Shiny Test App</code>. If we ran this basic test we would expect the following output:</p> <pre><code>&gt; test_dir(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp/tests/&quot;), filter = &#39;basic&#39;, reporter = &quot;Tap&quot;) [1] &quot;Connecting to remote server&quot; 1..1 # Context basic ok 1 can connect to app </code></pre> <p>So running the test we observe that we can successfully &ldquo;connect&rdquo; to the <code>Shiny Test App</code>. What other functionality can we add to our &ldquo;basic&rdquo; test context. We can check that the controls and the tabs are present. We can add these tests to our <code>test-basic.r</code> file. </p> <pre><code>test_that(&quot;controls are present&quot;, { webElems &lt;- remDr$findElements(&quot;css selector&quot;, &quot;#ctrlSelect label&quot;) appCtrlLabels &lt;- sapply(webElems, function(x){x$getElementText()}) expect_equal(appCtrlLabels[[1]], &quot;Select controls required:&quot;) expect_equal(appCtrlLabels[[2]], &quot;selectInput&quot;) expect_equal(appCtrlLabels[[3]], &quot;numericInput&quot;) expect_equal(appCtrlLabels[[4]], &quot;dateRangeInput&quot;) expect_equal(appCtrlLabels[[5]], &quot;sliderInput&quot;) }) test_that(&quot;tabs are present&quot;, { webElems &lt;- remDr$findElements(&quot;css selector&quot;, &quot;.nav a&quot;) appTabLabels &lt;- sapply(webElems, function(x){x$getElementText()}) expect_equal(appTabLabels[[1]], &quot;Plots&quot;) expect_equal(appTabLabels[[2]], &quot;About&quot;) }) </code></pre> <p>When we rerun our basic test we should hopefully now see that it is checking for the prescence of the controls and the tabs.</p> <pre><code>&gt; test_dir(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp/tests/&quot;), filter = &#39;basic&#39;, reporter = &quot;Tap&quot;) [1] &quot;Connecting to remote server&quot; 1..8 # Context basic ok 1 can connect to app ok 2 controls are present ok 3 controls are present ok 4 controls are present ok 5 controls are present ok 6 controls are present ok 7 tabs are present ok 8 tabs are present </code></pre> <p>That concludes our basic test of the <code>Shiny Test App</code> functionality. Next we look at testing the input controls.</p> <h2><a id="id4">Testing the Controls</a></h2> <p>Our first test of the controls will be the functioning of the checkbox. We open a new file in the test directory of our <code>Shiny Test App</code> and give it the name <code>test-checkbox.r</code>. We also give it a context of <code>controls</code>.</p> <pre><code>context(&quot;controls&quot;) library(RSelenium) library(testthat) remDr &lt;- remoteDriver() remDr$open(silent = TRUE) sysDetails &lt;- remDr$getStatus() browser &lt;- remDr$sessionInfo$browserName appURL &lt;- &quot;http://127.0.0.1:6012&quot; test_that(&quot;can select/deselect checkbox 1&quot;, { remDr$navigate(appURL) webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#ctrlSelect1&quot;) initState &lt;- webElem$isElementSelected()[[1]] # check if we can select/deselect if(browser == &quot;internet explorer&quot;){ webElem$sendKeysToElement(list(key = &quot;space&quot;)) }else{ webElem$clickElement() } changeState &lt;- webElem$isElementSelected()[[1]] expect_is(initState, &quot;logical&quot;) expect_is(changeState, &quot;logical&quot;) expect_false(initState == changeState) }) remDr$close() </code></pre> <p>In this case I am informed there maybe issues with <code>Internet Explorer</code>. Usually one would select the element for the checkbox and click it. In the case of <code>Internet Explorer</code> it maybe necessary to pass a <code>space</code> key to the element instead. Otherwise the test is straightforward. We check the initial state of the checkbox. We click the checkbox or send a keypress of space to it. We check the changed state of the checkbox. If the initial state is different to the changed state the test is deemed a success. For good measure we also check that the initial and changed states are of class &ldquo;logical&rdquo;. We add code for the other 3 checkboxes. We can check our test as follows:</p> <pre><code>&gt; test_dir(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp/tests/&quot;), reporter = &quot;Tap&quot;, filter = &quot;checkbox&quot;) [1] &quot;Connecting to remote server&quot; 1..12 # Context controls ok 1 can select/deselect checkbox 1 ok 2 can select/deselect checkbox 1 ok 3 can select/deselect checkbox 1 ok 4 can select/deselect checkbox 2 ok 5 can select/deselect checkbox 2 ok 6 can select/deselect checkbox 2 ok 7 can select/deselect checkbox 3 ok 8 can select/deselect checkbox 3 ok 9 can select/deselect checkbox 3 ok 10 can select/deselect checkbox 4 ok 11 can select/deselect checkbox 4 ok 12 can select/deselect checkbox 4 </code></pre> <p>We filter here on &ldquo;checkbox&rdquo; to only select this test file to run. If you watch the test running it will filter through the checkbox control checking each checkbox is functioning. The <code>checkboxGroupInput</code> drives the required controls which has id <code>reqcontrols</code>. Each of these controls is one of the building blocks of shiny and we will add a test for each.</p> <h3>Testing the selectInput</h3> <p>We write a simple test for the <code>selectInput</code>. It tests the options presented and the label of the control. We isolate the code in a seperate file <code>test-selectinput.r</code> in the test folder of our <code>Shiny Test App</code>. It also then selects an element from the options at random. It is tested whether the output changes or not.</p> <pre><code>test_that(&quot;selectInput dataSet correct&quot;, { remDr$navigate(appURL) webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#ctrlSelect1&quot;) initState &lt;- webElem$isElementSelected()[[1]] if(!initState){ # select the checkbox if(browser == &quot;internet explorer&quot;){ webElem$sendKeysToElement(list(key = &quot;space&quot;)) }else{ webElem$clickElement() } } webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#reqcontrols #dataset&quot;) # check the available datasets childElems &lt;- webElem$findChildElements(&quot;css selector&quot;, &quot;[value]&quot;) appDataSets &lt;- sapply(childElems, function(x){x$getElementAttribute(&quot;value&quot;)}) expect_true(all(c(&quot;rock&quot;, &quot;pressure&quot;, &quot;cars&quot;) %in% appDataSets)) }) test_that(&quot;selectInput label correct&quot;, { webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#reqcontrols label[for = &#39;dataset&#39;]&quot;) expect_output(webElem$getElementText()[[1]], &quot;Choose a dataset:&quot;) } ) test_that(&quot;selectInput selection invokes change&quot;, { webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#reqcontrols #dataset&quot;) childElems &lt;- webElem$findChildElements(&quot;css selector&quot;, &quot;[value]&quot;) ceState &lt;- sapply(childElems, function(x){x$isElementSelected()}) newState &lt;- sample(seq_along(ceState)[!unlist(ceState)], 1) outElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#summary&quot;) initOutput &lt;- outElem$getElementText()[[1]] # change dataset childElems[[newState]]$clickElement() outElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#summary&quot;) changeOutput &lt;- outElem$getElementText()[[1]] expect_false(initOutput == changeOutput) } ) </code></pre> <p>Running the <code>selectInput</code> test we get:</p> <pre><code>&gt; test_dir(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp/tests/&quot;), reporter = &quot;Tap&quot;, filter = &quot;selectinput&quot;) [1] &quot;Connecting to remote server&quot; 1..3 # Context controls ok 1 selectInput dataSet correct ok 2 selectInput label correct ok 3 selectInput selection invokes change </code></pre> <p>Note we set <code>remDr$setImplicitWaitTimeout(3000)</code> in this test so that we get a 3 second limit to find an element. </p> <h3>Testing the numericInput</h3> <p>The ideas behind testing the numericInput are similar to testing the selectInput. We test the label. We then test a random value between the allowable limits of the numericInput and check that the output changes. Finally a character string &ldquo;test&rdquo; is sent to the element and the appropriate error message on the output is checked. The final test can be adjusted to suit whatever bespoke error display etc is in your app. The test code is in the tests folder of the <code>Shiny Test App</code> in a file named <code>test-numericinput.r</code>. Again <code>remDr$setImplicitWaitTimeout(3000)</code> is called to give some leeway for element loading. Some commented out code indicates other methods one could deal with checking for element existence. Additional detail on timing races in Selenium can be found <a href="http://www.bizalgo.com/2012/01/14/timing-races-selenium-2-implicit-waits-explicit-waits/">here</a>.</p> <h3>Testing the dateRangeInput</h3> <p>The test on the dateRangeInput compose of two tests. We test the label and we test the two input dates. We choose two random dates from the set of allowable dates. The output is tested for change after the two dates ave been set. <code>remDr$setImplicitWaitTimeout(3000)</code> is set in the test to allow for race conditions on elements. The test code is in the tests folder of the <code>Shiny Test App</code> in a file named <code>test-daterangeinput.r</code>.</p> <h3>Testing the sliderInput</h3> <p>For the sliderInput we test the label and we test changing the controls. The test code is in the tests folder of the <code>Shiny Test App</code> in a file named <code>test-sliderinput.r</code>. The label is tested in a similar fashion as the other controls. The second test needs a bit of explaining. There are a number of ways we could interact with the slider control to change its values. Some of the easiest ways would be to execute javascript with <code>Shiny.onInputChange(&quot;range&quot;, [2000, 10000])</code> or <code>Shiny.shinyapp.sendInput({range: [6222, 9333]})</code>. Both these methods would currently work. The Shiny server side would get the new values however the UI would show no change. The underlying sliderInput control is a <code>jslider</code>. Normally one can interact with the <code>jslider</code> thru calls similar to <code>$(&quot;.selector&quot;).slider(&quot;value&quot;, p1, p2)</code> as outlined <a href="http://egorkhmelev.github.io/jslider/">here</a>. We will use mouse movements and the <code>buttondown</code> <code>buttonup</code> methods of the remoteDriver class. <strong>Note that one may have problems forming the test in this manner, see for example <a href="http://stackoverflow.com/questions/19922578/understanding-of-cannot-perform-native-interaction-could-not-load-native-event">here</a></strong>. However it is useful to illustrate mouse and keyboard interactions in <code>RSelenium</code>.</p> <p>We get the attributes of the slider initially. We then get the dimension of the slider</p> <pre><code>webElem &lt;- remDr$findElement(&quot;css selector&quot;, &quot;#reqcontrols input#range + .jslider&quot;) sliderDim &lt;- webElem$getElementSize() </code></pre> <p>This gives us the pixel width of the slider as it currently stands. This will be different across machines. We generate some random values for the two slider points and then we calculate roughly how many pixels we need to move the sliders.</p> <pre><code>remDr$mouseMoveToLocation(webElement = webElems[[x]]) remDr$buttondown() remDr$mouseMoveToLocation(x = as.integer(pxToMoveSldr[x]), y = -1L)#, webElement = webElems[[x]]) remDr$buttonup() </code></pre> <p>The above code moves to the slider element. Pushes the left button down. Moves the mouse on the x axis in the direction calculated then releases the left mouse button. The output of the related data-table before and after the change is recorded and the test should result in the before and after not being equal.</p> <p>It is interesting to note that during initial writing of this vignette a new version of firefox 27.0.1 was released. As expected native events did not work under version 2.39 of selenium server and this updated version of firefox. Subsequently our test as formulated above would fail. There is an option to pass a list <code>rsel.opt</code> for use with some of the tests. Using this we can set <code>nativeEvents = FALSE</code> and the test above will pass again. When your tests fail it is not necessarily bad. This failure indicates a problem with your test setup rather then your app however.</p> <pre><code>testsel &lt;- test_env() with(testsel, rsel.opt &lt;- list(nativeEvents = FALSE)) test_dir(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp/tests/&quot;), reporter = &quot;Tap&quot;, filter = &quot;slider&quot;, env = testsel) </code></pre> <h2><a id="id5">Testing the Output.</a></h2> <p>Finally for this simple example we will look at testing the output. The test code is in the tests folder of the <code>Shiny Test App</code> in a file named <code>test-output.r</code>. The outputs should line up side by side with a maximum of 2 on a line. We can check the position of the outputs. Our first test will check whether the four outputs line up in a grid. This test will fail on low resolution setups which we will observe latter. We can check the headers on the outputs. The two chart plots are base64 encoded images which we can check in the HTML source. We can check the headers on the outputs. Finally we can check the controls on the datatable.</p> <p>The first test use the <code>getElementLocation</code> method of the <code>webElement</code> class to find the location in pixels of the output objects.</p> <pre><code>webElems &lt;- remDr$findElements(&quot;css selector&quot;, &quot;#reqplots .span5&quot;) out &lt;- sapply(webElems, function(x){x$getElementLocation()}) </code></pre> <p>The 1st and 2nd and the 3rd and 4th objects should share rows. The 1st and 3rd and the 2nd and 4th should share a column. This test will fail as the resolution of the app decreases and the output objects get compacted. The second test checks output labels in a similar fashion to other test. The third test checks whether the chart output are base 64 encoded png. The final test selects the data-table output and randomly selects a column from carat or price. It then checks whether the ordering functions when the column header is clicked.</p> <p>Finally running all tests with a &ldquo;summary&rdquo; reporter we would hope to get:</p> <pre><code>&gt; test_dir(paste0(find.package(&quot;RSelenium&quot;), &quot;/apps/shinytestapp/tests/&quot;)) basic : [1] &quot;Connecting to remote server&quot; ........ controls : [1] &quot;Connecting to remote server&quot; ............ controls : [1] &quot;Connecting to remote server&quot; .. controls : [1] &quot;Connecting to remote server&quot; ... outputs : [1] &quot;Connecting to remote server&quot; ....... controls : [1] &quot;Connecting to remote server&quot; ... controls : [1] &quot;Connecting to remote server&quot; .. </code></pre> <h2><a id="id6">Further Tests.</a></h2> <ul> <li>Test across multiple browsers and OS. See the saucelabs testing vignette</li> <li>Longitudinal type test. Record access times for various components of your app across time. See the RBMproxy testing vignette.</li> <li>Analysis current page load times. See the RBMproxy vignette</li> </ul> <p>