HyperExecute is a smart test orchestration platform to run end-to-end Selenium tests at the fastest speed possible. HyperExecute lets you achieve an accelerated time to market by providing a test infrastructure that offers optimal speed, test orchestration, and detailed execution logs.
The overall experience helps teams test code and fix issues at a much faster pace. HyperExecute is configured using a YAML file. Instead of moving the Hub close to you, HyperExecute brings the test scripts close to the Hub!
- HyperExecute HomePage: https://www.lambdatest.com/hyperexecute
- Lambdatest HomePage: https://www.lambdatest.com
- LambdaTest Support: support@lambdatest.com
To know more about how HyperExecute does intelligent Test Orchestration, do check out HyperExecute Getting Started Guide
Follow the below steps to run Gitpod button:
- Click 'Open in Gitpod' button (You will be redirected to Login/Signup page).
- Login with Lambdatest credentials and it will be redirected to Gitpod editor in new tab and current tab will show hyperexecute dashboard.
Before using HyperExecute, you have to download HyperExecute CLI corresponding to the host OS. Along with it, you also need to export the environment variables LT_USERNAME and LT_ACCESS_KEY that are available in the LambdaTest Profile page.
HyperExecute CLI is a CLI for interacting and running the tests on the HyperExecute Grid. It provides a host of other useful features that accelerate test execution. In order to trigger tests using the CLI, you need to download the HyperExecute CLI binary corresponding to the platform (or OS) from where the tests are triggered:
Also, it is recommended to download the binary in the project's parent directory. Shown below is the location from where you can download the HyperExecute CLI binary:
- Mac: https://downloads.lambdatest.com/hyperexecute/darwin/hyperexecute
- Linux: https://downloads.lambdatest.com/hyperexecute/linux/hyperexecute
- Windows: https://downloads.lambdatest.com/hyperexecute/windows/hyperexecute.exe
Before the tests are run, please set the environment variables LT_USERNAME & LT_ACCESS_KEY from the terminal. The account details are available on your LambdaTest Profile page.
For macOS:
export LT_USERNAME=LT_USERNAME
export LT_ACCESS_KEY=LT_ACCESS_KEYFor Linux:
export LT_USERNAME=LT_USERNAME
export LT_ACCESS_KEY=LT_ACCESS_KEYFor Windows:
set LT_USERNAME=LT_USERNAME
set LT_ACCESS_KEY=LT_ACCESS_KEYAuto-split execution mechanism lets you run tests at predefined concurrency and distribute the tests over the available infrastructure. Concurrency can be achieved at different levels - file, module, test suite, test, scenario, etc.
For more information about auto-split execution, check out the Auto-Split Getting Started Guide
Auto-split YAML file (yaml/win/robot_hyperexecute_autosplit_sample.yaml) in the repo contains the following configuration:
globalTimeout: 90
testSuiteTimeout: 90
testSuiteStep: 90Global timeout, testSuite timeout, and testSuite timeout are set to 90 minutes. The runson key determines the platform (or operating system) on which the tests are executed. Here we have set the target OS as Windows.
runson: winAuto-split is set to true in the YAML file.
autosplit: trueretryOnFailure is set to true, instructing HyperExecute to retry failed command(s). The retry operation is carried out till the number of retries mentioned in maxRetries are exhausted or the command execution results in a Pass. In addition, the concurrency (i.e. number of parallel sessions) is set to 2.
retryOnFailure: true
maxRetries: 5
concurrency: 2Dependency caching is enabled in the YAML file to ensure that the package dependencies are not downloaded in subsequent runs. The first step is to set the Key used to cache directories.
cacheKey: '{{ checksum "requirements.txt" }}'Set the array of files & directories to be cached. The packages installed using pi3 are cached in pip_cache directory and packages installed using poetry install are cached in the poetry_cache directory. In a nutshell, all the packages will be cached in the pip_cache and poetry_cache directories.
cacheDirectories:
- pip_cache
- poetry_cacheContent under the pre directive is the pre-condition that is triggered before the tests are executed on HyperExecute grid. In the example, we have used Poetry for handling dependency & packaging of the Python packages required for running the tests.
Poetry, Robot framework (robotframework), and Robot Selenium library (robotframework-seleniumlibrary) are installed by triggering the pip command. All the required packages are also installed in this step using pip3 install. Packages mentioned in pyprojet.toml are installed by triggering poetry install as a part of the pre directive.
pre:
- pip3 install -r requirements.txt --cache-dir pip_cache
- poetry config virtualenvs.path poetry_cache
- poetry installSteps (or commands) that need to run after the test execution are listed in the post step. In the example, we cat the contents of yaml/win/robot_hyperexecute_matrix_sample.yaml
post:
- cat yaml/win/robot_hyperexecute_autpsplit_sample.yamlThe testDiscovery directive contains the command that gives details of the mode of execution, along with detailing the command that is used for test execution. Here, we are fetching the list of Python files that would be further executed using the value passed in the testRunnerCommand
testDiscovery:
type: raw
mode: dynamic
command: grep 'test_windows' makefile | sed 's/\(.*\):/\1 /'
testRunnerCommand: make $testRunning the above command on the terminal will give a list of Python files that are located in the Project folder:
- test_windows_10_edge_latest
- test_windows_10_chrome_latest
The testRunnerCommand contains the command that is used for triggering the test. The output fetched from the testDiscoverer command acts as an input to the testRunner command.
testRunnerCommand: python3 -s $testThe mergeArtifacts directive (which is by default false) is set to true for merging the artifacts and combing artifacts generated under each task.
The uploadArtefacts directive informs HyperExecute to upload artifacts [files, reports, etc.] generated after task completion. In the example, path consists of a regex for parsing the directory/file (i.e. report that contains the test reports).
mergeArtifacts: true
uploadArtefacts:
- name: HTML_Reports
path:
- /*.html
- name: XML_Reports
path:
- /*.xmlHyperExecute also facilitates the provision to download the artifacts on your local machine. To download the artifacts, click on Artifacts button corresponding to the associated TestID.
Now, you can download the artifacts by clicking on the Download button as shown below:
The CLI option --config is used for providing the custom HyperExecute YAML file (i.e. yaml/win/robot_hyperexecute_autosplit_sample.yaml for Windows and yaml/win/robot_hyperexecute_autosplit_sample.yaml for Linux).
Run the following command on the terminal to trigger the tests in Robot files with HyperExecute platform set to Windows. The --download-artifacts option is used to inform HyperExecute to download the artifacts for the job.
./hyperexecute --download-artifacts --verbose --config yaml/win/robot_hyperexecute_autosplit_sample.yamlRun the following command on the terminal to trigger the tests in Robot files with HyperExecute platform set to Linux. The --download-artifacts option is used to inform HyperExecute to download the artifacts for the job.
./hyperexecute --download-artifacts --verbose --config yaml/linux/robot_hyperexecute_autosplit_sample.yamlVisit HyperExecute Automation Dashboard to check the status of execution
Shown below is the execution screenshot when the YAML file is triggered from the terminal:
Matrix-based test execution is used for running the same tests across different test (or input) combinations. The Matrix directive in HyperExecute YAML file is a key:value pair where value is an array of strings.
Also, the key:value pairs are opaque strings for HyperExecute. For more information about matrix multiplexing, check out the Matrix Getting Started Guide
In the current example, matrix YAML file (yaml/win/robot_hyperexecute_matrix_sample.yaml) in the repo contains the following configuration:
globalTimeout: 90
testSuiteTimeout: 90
testSuiteStep: 90Global timeout, testSuite timeout, and testSuite timeout are set to 90 minutes. The target platform is set to Windows. Please set the [runson] key to [mac] if the tests have to be executed on the macOS platform.
runson: winAutomation tests using the Robot framework are located in the Tests folder (i.e. lt_todo_app.robot and lt_selenium_playground.robot). In the matrix YAML file, files specifies a list (or array) of .robot files that have to be executed on the HyperExecute grid.
files: ["Tests/lt_todo_app.robot", "Tests/lt_selenium_playground.robot"]The testSuites object contains a list of commands (that can be presented in an array). In the example, commands for executing the tests are put in an array (with a '-' preceding each item). Execution of Robot tests is triggered using the makefile that is placed at the root location of the project. Since the target OS is set to win, tests to be executed on Windows 10 are triggered as a part of the testSuites object:
testSuites:
- make test_windows_10_edge_latest
- make test_windows_10_chrome_latestDependency caching is enabled in the YAML file to ensure that the package dependencies are not downloaded in subsequent runs. The first step is to set the Key used to cache directories.
cacheKey: '{{ checksum "requirements.txt" }}'Set the array of files & directories to be cached. The packages installed using pi3 are cached in pip_cache directory and packages installed using poetry install are cached in the poetry_cache directory. In a nutshell, all the packages will be cached in the pip_cache and poetry_cache directories.
cacheDirectories:
- pip_cache
- poetry_cacheContent under the pre directive is the pre-condition that is triggered before the tests are executed on HyperExecute grid. In the example, we have used Poetry for handling dependency & packaging of the Python packages required for running the tests.
Poetry, Robot framework (robotframework), and Robot Selenium library (robotframework-seleniumlibrary) are installed by triggering the pip command. All the required packages are also installed in this step using pip3 install. Packages mentioned in pyprojet.toml are installed by triggering poetry install as a part of the pre directive.
pre:
- pip3 install -r requirements.txt --cache-dir pip_cache
- poetry config virtualenvs.path poetry_cache
- poetry installSteps (or commands) that need to run after the test execution are listed in the post step. In the example, we cat the contents of yaml/win/robot_hyperexecute_matrix_sample.yaml
post:
- cat yaml/win/robot_hyperexecute_matrix_sample.yamlThe mergeArtifacts directive (which is by default false) is set to true for merging the artifacts and combing artifacts generated under each task.
The uploadArtefacts directive informs HyperExecute to upload artifacts [files, reports, etc.] generated after task completion. In the example, path consists of a regex for parsing the directory/file (i.e. report that contains the test reports).
mergeArtifacts: true
uploadArtefacts:
- name: HTML_Reports
path:
- /*.html
- name: XML_Reports
path:
- /*.xmlHyperExecute also facilitates the provision to download the artifacts on your local machine. To download the artifacts, click on Artifacts button corresponding to the associated TestID.
Now, you can download the artifacts by clicking on the Download button as shown below:
The CLI option --config is used for providing the custom HyperExecute YAML file (i.e. yaml/win/robot_hyperexecute_matrix_sample.yaml for Windows and yaml/win/robot_hyperexecute_matrix_sample.yaml for Linux).
Run the following command on the terminal to trigger the tests in Robot files with HyperExecute platform set to Windows. The --download-artifacts option is used to inform HyperExecute to download the artifacts for the job.
./hyperexecute --download-artifacts --verbose --config yaml/win/robot_hyperexecute_matrix_sample.yamlRun the following command on the terminal to trigger the tests in Robot files with HyperExecute platform set to Linux. The --download-artifacts option is used to inform HyperExecute to download the artifacts for the job.
./hyperexecute --download-artifacts --verbose --config yaml/linux/robot_hyperexecute_matrix_sample.yamlVisit HyperExecute Automation Dashboard to check the status of execution:
Shown below is the execution screenshot when the YAML file is triggered from the terminal:
In case you want to use any secret keys in the YAML file, the same can be set by clicking on the Secrets button the dashboard.
Now create a secret key that you can use in the HyperExecute YAML file.
All you need to do is create an environment variable that uses the secret key:
env:
PAT: ${{ .secrets.testKey }}HyperExecute lets you navigate from/to Test Logs in Automation Dashboard from/to HyperExecute Logs. You also get relevant get relevant Selenium test details like video, network log, commands, Exceptions & more in the Dashboard. Effortlessly navigate from the automation dashboard to HyperExecute logs (and vice-versa) to get more details of the test execution.
Shown below is the HyperExecute Automation dashboard which also lists the tests that were executed as a part of the test suite:
Here is a screenshot that lists the automation test that was executed on the HyperExecute grid:
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