FAQs

Installation

Where’s the gauge executable installed by default?

OS Path
Windows %ProgramFiles%\gauge\bin
MacOS/Linux /usr/local/bin

Where are the plugins installed?

OS Path
Windows %APPDATA%\gauge\plugins
MacOS/Linux ~/.gauge/plugins

What is GAUGE_HOME?

GAUGE_HOME environment variable can be used to customize config files and plugins installation location.

How can I manually install a plugin?

Download the plugin distributable zip file and install it using the -f flag.

gauge install plugin_name -f path_to_zip_file

Execution

Why do I get validation failure warning?

[WARN] Validation failed. The following steps have errors
...

Check if the step is implemented. The steps are case sensitive, check if the cases match.

Why does the runner fail to start?

Failed to start a runner. Compatible runner version to 0.0.7 not found

The language plugin is not compatible with the gauge version installed. Run

gauge install language_name

Why are there too many open files?

Error: too many open files

The upper limit to the number of open files is low. Increase the upper limit by adding a command ulimit -S -n 2048 to you ~/.profile. Don’t forget to re-login for the changes to take effect.

Why can’t gradle execute gauge specs, despite adding a task as per the document?

* What went wrong:
A problem occurred evaluating root project 'INDYGauge'.
> Could not get unknown property 'GaugeTask' for root project 'INDYGauge' of type org.gradle.api.Project.

This can happen when gradle is unable to recognize the GaugeTask. Try using the fully qualified name for GaugeTask as below: .. code-block:: console

task customGauge(type: com.thoughtworks.gauge.gradle.GaugeTask) {
gauge {
specsDir = ‘specs’ env = ‘default’ tags = ‘tag1’ inParallel = true nodes = 4 additionalFlags = ‘–verbose’

}

}

IDE

Configuration

Note

Gauge specific properties are stored in gauge.properties under gauge configuration folder. Refer to Gauge Properties.

How can I increase the language runner timeout?

By setting

runner_connection_timeout = 3000

Logs

Where does gauge log the test execution output. warnings, validation results etc?

You’ll find the logged at logs/gauge.log in your projects directory.

Note

logs is the default location for log files. This can be changed using logs_directory in project’s properties.

Where can I find gauge core API logs for debugging IDE plugins?

You’ll find that at logs/api.log in your projects directory.

Note

logs is the default location for log files. This can be changed using logs_directory in project’s properties.

How can I customize the log directory location?

You can specify a custom directory by changing the logs_directory property under env/default/default.properties Refer to project’s properties.

logs_directory = my_custom_log_directory

Where does gauge non project specific logs like plugin installation etc.?

OS Path
Windows %APPDATA%\gauge\logs
MacOS / Linux ~/.gauge/logs

JS FAQs

How to

Debug without IDE

gauge-js supports debugging your test implementation code using node-inspector.

Requirements

Ensure you have the latest Chrome browser and node-inspector installed. Please consult the node-inspector documentation for installation instructions. Ensure that the binaries node-debug and node-inspector are available on PATH. Starting gauge-js with debugger You can do either of these:

Set the DEBUG key to true in env/<env-name>/js.properties file in your gauge project. Set the environment variable DEBUG=true when calling gauge. Like: DEBUG=true gauge specs/. This needs gauge v0.3.2 or newer.

How it works

Setting the debug option will launch the runner code through node-debug. It will start node-inspector, launch Chrome DevTools and pause on the first line of execution. You will need to continue execution to let gauge carry on with its execution.

You can set debugger; inside step implementation or hook callbacks to pause execution in the debugger. This retains the gauge context and gives you a full blown debugger to debug your test implementations.

Example:

``` gauge.step(“There are <num> vowels.”, function (num) {

debugger; assert.equal(num, 5);
});

This will pause the debugger when this step’s callback is executed by gauge-js.

Caveats

The debugger exposes entire gauge-js runner code. You need to be quick enough to hit continue in the browser when node-inspector launches. If this takes too long, gauge will timeout connecting to the API. A workaround for this is to increase the runner_connection_timeout property to an acceptable value.

Python FAQs

Errors

ImportError: No module named getgauge

Installing the getgauge package using pip should fix this. You can install the package by running the following command

[sudo] pip install getgauge

Failed to start gauge API: Plugin ‘python’ not installed on following locations : [PATH]

Installing the gauge-python plugin should fix this. You can install the plugin by running the following command

gauge --install python

Make sure you have the getgauge package. If you don’t have, run the following command to install

[sudo] pip install getgauge

For more details, refer Installation docs.

ImportError: No module named step_impl.<file_name>

This error happens on older versions of Python(2.7, 3.2). Create step_impl/__init__.py to fix this.

How to

Change/Rename default step implementation(step_impl) directory

Create python.properties file in the <PROJECT_DIR>/env/default directory and add the following line to it.

STEP_IMPL_DIR = PATH_TO_STEP_IMPLEMENTATION_DIR

Note

The path specified in STEP_IMPL_DIR property should be relative to project root.

Use different version of python while running specs

By default the language runner uses python command to run specs. To change the default behaviour, add GAUGE_PYTHON_COMMAND property to the python.properties file in the <PROJECT_DIR>/env/default directory.

GAUGE_PYTHON_COMMAND = <python_command>
GAUGE_PYTHON_COMMAND = python3
GAUGE_PYTHON_COMMAND = python2

Debug without IDE

Gauge-Python supports debugging your test implementation code using pbd.

import pdb

The typical usage to break into the debugger from a running program is to insert

pdb.set_trace()

Execution will stop where it finds the above statement and you can debug.