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In future releases we might make minor changes, removals, or additions in order to make the API more convenient for harness implementations, depending on feedback received after the initial release. Part of the stable interface is standardizing how Beaker configures the harness. With this in place, we can add a simple way for users to select an alternative harness on a per-recipe basis. A new kickstart metadata variable, harness , will be defined. Its default value is beah. When set to any other value, Beah-specific parts of the template are skipped.

Instead, the kickstart will contain a command to install the named harness. This means the default behaviour is unchanged.

9 - Workflow Variable Expressions

If a user wants to use an alternate harness they can configure their job XML as desired, for example:. The value of the harness variable will be substituted directly into the yum install command line. Note that this means the harness variable may contain any valid package specification accepted by yum, including one or more package names or absolute package URLs.

The following ideas were brought up during discussions of this proposal, but they will not be implemented for the reasons given. There is no mechanism for the harness to add tasks to an existing recipe. A recipe is an immutable sequence of one or more tasks for the harness to execute. A cloned recipe should produce the same execution as its original recipe, but this would be violated if the harness has added extra tasks.

This would violate an invariant which is relied on by a lot of code in Beaker, and by its users. The following ideas were brought up during discussions of this proposal, but they will not be addressed by this first provisional version of the API. Currently the harness is configured in two ways: Beaker passes configuration through system-wide environment variables, as described above; and tasks provide metadata to the harness, such as their expected runtime and desired environment testinfo.

However, there is no mechanism to override this configuration from the job XML. It is desirable to allow users to pass arbitrary harness-specific configuration from their job XML, either globally at the recipe level, or at the individual task level. One possibility is to allow the job XML to override or extend the task metadata for a given task, by using the same fields as in testinfo.

However, designing future-proof response formats for all those resources is not trivial, so they are not included in this proposal. Once these future response formats have been designed, they can also be used for requests instead of the simple form encoding as defined in this proposal.

It is not clear that this capability is useful or desirable. Beaker can display this information to users, to make it clear which harness implementation ran their recipe. In future a check-in step may be formalised as part of this API, but for now harnesses are encouraged to report these details as a recipe log with a consistent and obvious name for example, harness-checkin. There are no plans to integrate Beaker itself with any specific tool for managing test runs and results.

But a harness implementation may choose to report its results to an external tool in addition to or instead of reporting results to Beaker.

  • 9 - Workflow Variable Expressions - Docs.
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In this case it would be useful for the Beaker results to contain a reference to the corresponding results in the external tool. Beaker would record only the remote URL associated with the log. The existing XML-RPC API provides the following functionality to the harness: fetching recipe details fetching task details extending the watchdog marking tasks as running or completed recording results uploading logs The new API covers the same areas.

It also covers how Beaker configures the harness. Stackdriver Verification. Bugsnag Verification. CloudWatch Verification. Splunk Verification. Datadog Verification. AppDynamics Verification. ELK Elasticsearch Verification. New Relic Verification. Sumo Logic Verification. Dynatrace Verification. Prometheus Verification. Custom Metrics and Logs Verification.

Authentication Settings. SSO Provider Overview. Two Factor Authentication. Secrets Management. Deployment Freeze.

  • Variables and Expressions in Harness - Docs.
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  • Service Types and Artifact Sources - Docs.
  • Workflows - Docs.

IP Whitelist Management. API Keys. Audit Trail. Harness On-Prem Release Notes. Harness Disconnected On-Prem Setup. On-Prem Overview. Harness Connected On-Prem Setup.

execute_tests( tests => \@test_files, out => \*FH )

Harness Troubleshooting. Kubernetes and Harness FAQ. New Features and Info. Platform Updates. Customer Case Studies. Overview of Harness. Create an Environment Video. Canary Deployment Video. Create a Workflow Video. Create an Application and Service Video.

runtests( @test_files )

Create a Pipeline Video. Create a Trigger Video. Updated 2 months ago by Michael Cretzman. This article provides a matrix of Harness Service artifact types and their artifact sources, displaying which types support metadata-only sources, and which types support both metadata and file sources.

Stable Harness API · Beaker development

It also includes information on how to manage the different source types to copy, download, and install artifacts. Harness Services support both metadata and file Artifact Sources. In many cases, only metadata is supported. For nearly all deployments, metadata is sufficient as it contains enough information for the target host s to obtain or build the artifact.

In cases where specific files are needed, a file-based Artifact Source can be used. If the Service Type is Docker Image , at runtime the Harness Delegate will use the metadata to initiate a pull command on the deployment target host s and pull the artifact from the registry Docker Registry, ECR, etc to the target host. To ensure the success of this artifact pull, the host s running the target host s must have network connectivity to the registry.

When you select an Artifact Source and specify file-based only where the Metadata-Only option is not selected , Harness copies and stores the file in the Harness Artifact data store. At runtime, the Harness Delegate copies the file to the target host s. Most artifact sources support metadata. For example, with Amazon CodeDeploy, to help manage your Amazon EC2 instances and on-prem instances, you can use tags to assign your own metadata to each resource. For SFTP, the metadata commonly includes a file path.

During runtime, Harness passes the metadata to the target host s where it is used to obtain the artifact s. Ensure that the target host has network connectivity to the Artifact Server. For all Service types, the Exec script can be added to the Service to use the artifact source metadata and copy or download the artifact. When you create a Workflow using this Service, such as a Basic Workflow, it will include an Install step that will execute the Exec script.

For a list of artifact-related built-in variables, see Artifact in the table in Variables List. The behavior of the command differs depending on whether filed-based or metadata is selected for the Artifact Source:.