Galasa CLI

The Galasa command line interface (Galasa CLI) is used to interact with the Galasa ecosystem or local development environment.

Environment variables

GALASA_BOOTSTRAP

Most commands will need a reference to the Galasa bootstrap file or url. This can be provided with the --bootstrap flag or the GALASA_BOOTSTRAP environment variable. If both are provided, the explicit flag takes precedence.

GALASA_HOME

galasactl commands assume that ${HOME}/.galasa is a folder which is writeable, and contains property files, and storage for test results which are run using local JVMs.

This value can be overridden using the GALASA_HOME environment variable.

The --galasahome command-line flag can override the GALASA_HOME environment variable on a call-by-call basis.

Note: If you change this to a non-existent and/or non-initialised folder path, then you will have to create and re-initialise the folder using the galasactl local init command again. That command will respect the GALASA_HOME variable and will create the folder and initialise it were it not to exist.

GALASA_TOKEN

In order to authenticate with a Galasa ecosystem, you will need to create a personal access token from the Galasa web user interface.

Once a personal access token has been created, you can either store the token in the galasactl.properties file within your Galasa home folder, or set the token as an environment variable named GALASA_TOKEN.

Syntax

The syntax is documented in generated documentation here

Setting up your environment

Run this command to set up your environment for future calls to the galasactl tooling.

galasactl local init

If you wish to build content which depends on the very latest/bleeding-edge of galasa code, add the --development flag. This will set things up to include the maven repositories in any new {HOME}/.m2/settings.xml file, if that doesn't already exist.

This command respects the GALASA_HOME environment variable, and will set up a number of files there, or in {HOME}/.galasa otherwise.

Creating an example project

galasactl can be used to create near-empty test projects to lay-down an initial structure prior to fleshing out with more tests. This can provide a boost to productivity when starting a new OSGi bundle containing Galasa tests.

Examples

Getting help:-

galasactl --help
galasactl project --help
galasactl project create --help

Create a folder tree which can be built into an OSGi bundle (without an OBR):

galasactl project create --package dev.galasa.example.banking

Create a folder tree which can be built into an OSGi bundle (with an OBR):

galasactl project create --package dev.galasa.example.banking --obr

Create a folder tree which has two bundles, each aiming to test different features of an application (while also viewing the tooling log on the console)

galasactl project create --package dev.galasa.example.banking --features payee,account --obr --log -

Building the example project

Maven and Gradle are both build tools, which read metadata from files which guide how the code within a module should be built. Maven and Gradle use different formats for these build files.

By default, the galasactl project create generates a project which includes a Maven build mechanism. The --maven flag being present also explicitly tells the tool to generate Maven build artifacts (pom.xml files).

To create a project which includes a Gradle build mechanism, add the --gradle flag. This tells the tool to add generated artifacts which direct a Gradle build.

You can use the --maven and --gradle flags together to produce a project which contains both Maven and Gradle build infrastructure files.

Create a folder tree which can be built using either Maven or Gradle:

galasactl project create --package dev.galasa.example.banking --features payee,account --obr --gradle --maven

To build a project with Maven artifacts, use mvn clean install

To build a project with Gradle artifacts, use gradle build publishToMavenLocal

If you wish the generated code to depend upon the very latest/bleeding-edge of galasa code, then add the --development flag. This will add extra settings to the settings.gradle file of the parent and the build.gradle file of any of the child test projects.

auth login

Before interacting with a Galasa ecosystem using galasactl, you must be authenticated with it. The auth login command allows you to log in to an ecosystem provided by your GALASA_BOOTSTRAP environment variable or through the --bootstrap flag.

Prior to running this command, you must have a galasactl.properties file in your GALASA_HOME directory, which is automatically created when running galasactl local init, that contains a GALASA_TOKEN property with the following format:

GALASA_TOKEN=<your personal access token>

A value for the GALASA_TOKEN property can be retrieved by creating a new personal access token from a Galasa ecosystem's web user interface.

If you prefer, this property can be set as an environment variable instead of being read from this file.

On a successful login, a bearer-token.json file will be created in your GALASA_HOME directory. This file will contain a bearer token that galasactl will use to authenticate requests when communicating with a Galasa ecosystem.

If your bearer token expires, galasactl will automatically attempt to re-authenticate with your Galasa ecosystem. Alternatively, you can run the auth login command again to re-authenticate with your Galasa ecosystem.

Examples

Logging in to an ecosystem:

galasactl auth login

auth logout

To log out of a Galasa ecosystem using galasactl, you can use the auth logout command. If you run a galasactl command that interacts with an ecosystem while logged out, galasactl will attempt to automatically log in using the properties in your galasactl.properties file within your GALASA_HOME directory.

Examples

Logging out of an ecosystem:

galasactl auth logout

runs prepare

The purpose of runs prepare is to build a portfolio of tests, possibly from multiple test streams. This portfolio can then be used in the runs submit command.

Examples

Getting help:-

galasactl --help
galasactl runs --help
galasactl runs prepare --help

Finding out the version of the galasactl tool:-

galasactl --version

Will yield output such as this:

galasactl version 0.20.0-alpha-2305ba574524af5cd0fba59de18411582f470de5

Selecting tests from a test steam:-

galasactl runs prepare
          --portfolio test.yaml
          --stream inttests
          --package test.package.one
          --package test.package.two

Selecting tests using regex:-

galasactl runs prepare
          --portfolio test.yaml
          --stream inttests
          --package '.*age.*'
          --regex

Providing test specific overrides:-

galasactl runs prepare
          --portfolio test.yaml
          --stream inttests
          --package test.package.one
          --override zos.default.lpar=MYLPAR
          --override zos.default.cluster=MYPLEXCLUSTER

Building a portfolio over mulitple selections and overrides:-

galasactl runs prepare
          --portfolio test.yaml
          --stream inttests
          --package test.package.one
          --override zos.default.lpar=MYLPAR
          --override zos.default.cluster=MYPLEXCLUSTER

galasactl runs prepare
          --portfolio test.yaml
          --append
          --stream inttests
          --package test.package.two
          --override zos.default.lpar=MYLPARB
          --override zos.default.cluster=MYPLEXCLUSTER

runs submit

The purpose of runs submit is to submit and monitor tests in the Galasa ecosystem. Tests can be input from a portfolio or using the same commands as the runs prepare command, but not both.

Note: The --log - directs logging information to the stderr console. Omit this option if you do not want to see logging, or specify --log myFileName.txt if you wish to capture log information in a file.

Examples

Getting help:-

galasactl --help
galasactl runs --help
galasactl runs runs --help

Running tests from a portfolio (and see the log on the console):-

galasactl runs submit --log -
          --portfolio test.yaml
          --poll 5
          --progress 1
          --throttle 5

Submitting tests without a portfolio (and see the log on the console) :-

galasactl runs submit --log -
          --class test.package.one/Test1
          --class test.package.one/Test2

Providing overrides for all tests during this run, note, overrides in the portfolio will take precedence over these (and see the log on the console) :-

galasactl runs submit --log -
          --portfolio test.yaml
          --override zos.default.lpar=MYLPAR
          --override zos.default.cluster=MYPLEXCLUSTERA

runs submit local

This command sequence causes the specified tests to be executed within the local JVM server.

Note: Runnning test running locally does not benefit from the features of running within a Galasa Ecosystem, such as cleaning up resources when things fail and arbitrating contention for limited resources between competing tests. It should only be used during test development to verify that the test is behaving correctly.

Example : Run a single test in the local JVM.

galasactl runs submit local --log -
          --obr mvn:dev.galasa.example.banking/dev.galasa.example.banking.obr/0.0.1-SNAPSHOT/obr
          --class dev.galasa.example.banking.account/dev.galasa.example.banking.account.TestAccount

Example : Run a single Gherkin test in the local JVM.

galasactl runs submit local --log -
          --gherkin file:///path/to/gherkin/file.feature

• The --log - parameter indicates that debugging information should be sent to the console.

• The --obr indicates where galasactl can find an OBR which refers to the bundle where all the tests are housed.

• The --class parameter tells galasactl which test class to run. The string is in the format of <osgi-bundle-id>/<fully-qualified-java-class>. All the test methods within the class will be run. You can use multiple such flags to test multiple classes.

• The JAVA_HOME environment variable should be set to refer to the JVM to use in which the test will be launched.

• The --localmaven parameter tells galasactl where galasa bundles can be loaded from on your local file system. Defaults to your home .m2/repository file. Please note that this should be in a URL form e.g. file:///Users/myuserid/.m2/repository.

• The --gherkin parameter tells galasactl where gherkin files can be loaded from on your local file system. Please note that this should be in a URL form ending in a .feature extension e.g. file:///Users/myuserid/gherkin/MyGherkinFile.feature.

• The --throttle 1 option would mean all your tests run sequentially. A higher throttle value means that local tests run in parallel.

To configure a JVM with special options, such as -Xms20m and other JVM options, you can set the optional parameter framework.jvm.local.launch.options in your bootstrap properties to hold a space-separated list of extra options which will be used when the JVM running your test in a local JVM is launched.

Debugging a single test which runs in the local JVM

The galasactl runs submit local command has an option --debug which causes the test to be launched in 'debug mode'. The test will attempt to connect with a JDB java debugger based on some configuration parameters.

The 'port' used to connect the testcase to the java debugger needs to be configured.

• The default value is 2970
• The above value can be overridden by adding the optional property galasactl.jvm.local.launch.debug.port into the bootstrap.properties file.
  • For example: galasactl.jvm.local.launch.debug.port=2971
  • This parameter is ignored if the --debug argument isn't supplied to the galasactl runs submit local command.
• The above value can be overridden by using the optional argument --debugPort to the galasactl runs submit local command.

The port value itself must be an unsigned integer.

Your IDE would typically need to be configured to connect to the same port the testcase is using.

The 'mode' used to control the connection from the local JVM to the debugger can be listen or attach.

• listen configured into the galasactl configuration means that the JVM launching opens a port and pauses to listen for traffic on that port, waiting for a JDB debugger to connect to that port.
• attach configured into the galasactl configuration means that the JVM launching attempts to attach to the debug port, which has previously been opened by the JDB debugger.

Configure the debug mode like this:

• The default value is listen.
• The above default value can be overridden by adding the optional property galasactl.jvm.local.launch.debug.mode into the bootstrap.properties file.
  • For example: galasactl.jvm.local.launch.debug.mode=attach
• The above value can be overridden by using the optional argument --debugMode to the galasactl runs submit local command.

Your IDE would typically need to be configured with the opposite type of connection mode in order to attach the JDB debugger to the running Galasa test. For example: If your galasactl is configured to listen, then start the test first, and configure your IDE to attach to the same port. If your galasactl is configured to attach, then start your JDB debugger first, so it is there waiting for the testcase to attach to the debug port when the testcase is launched.

To configure the different IDEs to connect to a local testcase in --debug mode, follow these instructions:

• For Microsoft vscode see here
• For IntelliJ see here
• For Eclipse see here

runs get

This command retrieves information about a historic run on an ecosystem. Several formats are supported including: 'summary', 'details', 'raw'

galasactl runs get --name C1234 --format details

For a complete list of supported formatters try running the command with a known to be bad formatter name. For example:

galasactl runs get --name C1234 --format badFormatterName

For a complete list of supported parameters see here.

runs download

This command downloads all artifacts for a test run that are stored in an ecosystem's RAS. The artifacts are stored in a directory within the working directory where the command is executed. The name of the created directory corresponds to the run name that was provided (e.g. ./C123/...).

Examples

All artifacts for a run named "C1234" can be downloaded to a directory named "C1234" in the current working directory using the following command:

galasactl runs download --name C1234

If a run directory named "C1234" already exists, artifacts stored within the directory can be overwritten with the --force flag as follows:

galasactl runs download --name C1234 --force

By default, all directories containing test run artifacts will be created as children of the current directory ('.'), this can be overridden using the --destination option. For example: The command below downloads artifacts and places them in folder /Users/me/my/folder/C1234

galasactl runs download --name C1234 --destination /Users/me/my/folder

A complete list of supported parameters for the runs download command is available here.

runs reset

This command will reset a running test in the Ecosystem that is either stuck in a timeout condition or looping, by requeing the test. Note: The reset command does not wait for the server to complete the act of resetting the test, but if the command succeeds, then the server has accepted the request to reset the test.

Example

The run "C1234" can be reset using the following command:

galasactl runs reset --name C1234

runs cancel

If after running runs reset the test is still not able to run through successfully, it can be abandoned with runs cancel.

This command will cancel a running test in the Ecosystem. It will not delete any information that is already stored in the RAS about the test, it will only cancel the execution of the test. Note: The cancel command does not wait for the server to complete the act of cancelling the test, but if the command succeeds, then the server has accepted the request to cancel the test.

Example

The run "C1234" can be cancelled using the following command:

galasactl runs cancel --name C1234

properties get

This command retrieves details of properties in a namespace.

Properties in a namespace can be filtered out by using --prefix, --infix and/or --suffix, or --name. The formats supported are: 'summary', 'raw', and 'yaml'. The default is 'summary'.

For a complete list of supported formatters try running the command with a known to be bad formatter name. For example:

galasactl properties get --namespace framework --format badFormatterName

Examples

--prefix, --infix and --suffix can be used together or separately to get all properties with a matching prefix, infix and/or suffix.

galasactl properties get --namespace framework --prefix test

galasactl properties get --namespace framework --infix galasa --suffix test

galasactl properties get --namespace framework --prefix test --infix galasa --suffix stream

--name is used to get a singular property

galasactl properties get --namespace framework --name propertyName

For a complete list of supported formatters try running the command with a known to be bad formatter name. For example:

galasactl properties get --name propertyName --format badFormatterName

For a complete list of supported parameters see here.

--format is used to modify the output table

> galasactl properties get --namespace framework --format summary
namespace name          value
framework propertyName0 value0
framework propertyName1 value1
>

> galasactl properties get --namespace framework --format raw
framework|propertyName0|value0
framework|propertyName1|value1
>

> galasactl properties get --namespace framework --format yaml
apiVersion: galasa-dev/v1alpha1
kind: GalasaProperty
metadata:
    namespace: framework
    name: propertyName0
data:
    value: value0
---
apiVersion: galasa-dev/v1alpha1
kind: GalasaProperty
metadata:
    namespace: validNamespace
    name: propertyName1
data:
    value: value1
>

properties set

This command attempts to update the value of a property in a namespace, but if the property does not exist in that namespace, it creates the property.

The property to be set is supplied through --name and its value through --value.

Examples

galasactl properties set --namespace framework --name propertyName --value propertyValue

For a complete list of supported parameters see here.

properties delete

This command deletes a property in a namespace.

The property to be deleted is supplied through --name.

Examples

galasactl properties delete --namespace framework --name propertyName

For a complete list of supported parameters see here.

properties namespaces get

This command retrieves details of namespaces in the CPS.

The formats supported are: 'summary' and 'raw'. The default is 'summary'.

For a complete list of supported formatters try running the command with a known to be bad formatter name. For example:

galasactl properties namespaces get --format badFormatterName

Examples

galasactl namespaces properties get

For a complete list of supported parameters see here.

--format is used to modify the output table

> galasactl namespaces properties get --format summary
namespace name          value
framework propertyName0 value0
framework propertyName1 value1
>

> galasactl namespaces properties get --format raw
framework|propertyName0|value0
framework|propertyName1|value1
>

resources apply

This command creates or updates resources in the Galasa Ecosystem

For each resource provided in the yaml file, it is either created, if it doesn't already exist, or updated if it already exists. A compiled list of errors is returned if any error occurs for any resource during the process.

Examples

galasactl resources apply -f my_resources.yaml

For a complete list of supported parameters see here.

resources create

This command creates resources in the Galasa Ecosystem

Each resource provided in the yaml file is created. A compiled list of errors is returned if any error occurs for any resource during the process.

Examples

galasactl resources create -f my_resources.yaml

For a complete list of supported parameters see here.

resources update

This command updates resources in the Galasa Ecosystem

Each resource provided in the yaml file is updated. A compiled list of errors is returned if any error occurs for any resource during the process.

Examples

galasactl resources update -f my_resources.yaml

For a complete list of supported parameters see here.

resources delete

This command deletes resources in the Galasa Ecosystem

Each resource provided in the yaml file is deleted. A compiled list of errors is returned if any error occurs for any resource during the process.

Examples

galasactl resources delete -f my_resources.yaml

For a complete list of supported parameters see here.

Reference Material

Syntax

Full syntax, with descriptions of every parameter is available here

Errors

See here for a list of error messages the galasactl tool can output.

Known limitations

• Go programs can sometimes struggle to resolve DNS names, especially when a working over a virtual private network (VPN). In such situations, you may notice that a bootstrap file cannot be found with galasactl but can be found by a desktop browser, or curl command. In such situations we recommend that you manually add the host detail to the /etc/hosts file, to avoid DNS being involved in the resolution mechanism.

Building locally

To build the cli tools locally, use the ./build-locally.sh --help script for instructions.

Built artifacts

Download built artifacts:

Built artifacts include:

• galasactl-darwin-x86_64
• galasactl-darwin-arm64
• galasactl-linux-x86_64
• galasactl-linux-s390x
• galasactl-windows-x86_64.exe

Browse the following web site and download whichever built binary files you wish:

• Latest (and previous) stable releases: https://github.com/galasa-dev/cli/releases
• Bleeding edge/Unstable : https://development.galasa.dev/main/binary/cli/

Docker images containing the command-line tools

The build process builds some docker images with the command-line tools installed. This could be useful when wishing to embed a usage of the command-line within a build process which can use a docker image.

• Bleeding edge/Unstable : docker pull harbor.galasa.dev/galasadev/galasa-cli-amd64:main

How to use the docker image

The docker image has the galasactl tool on the path of the docker image when it starts up. So, invoke the galasactl without installing on your local machine, using the docker image like this:

docker run harbor.galasa.dev/galasadev/galasa-cli-amd64:main galasactl --version