apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-pr-main
annotations:
pipelinesascode.tekton.dev/on-target-branch: "[main]" (1)
pipelinesascode.tekton.dev/on-event: "[pull_request]"
# ...
Using Pipelines as Code, you can create pipelines in your code repository and run these pipelines.
To run pipelines using Pipelines as Code, you can create pipeline run definitions or templates as YAML files in the .tekton/
directory of the repository. You can reference YAML files in other repositories using remote URLs, but pipeline runs are only triggered by events in the repository containing the .tekton/
directory.
The Pipelines as Code resolver bundles the pipeline runs with all tasks as a single pipeline run without external dependencies.
|
You can specify the parameters of your commit and URL by using dynamic, expandable variables with the {{<var>}} format. Currently, you can use the following variables:
{{repo_owner}}
: The repository owner.
{{repo_name}}
: The repository name.
{{repo_url}}
: The repository full URL.
{{revision}}
: Full SHA revision of a commit.
{{sender}}
: The username or account id of the sender of the commit.
{{source_branch}}
: The branch name where the event originated.
{{target_branch}}
: The branch name that the event targets. For push events, it’s the same as the source_branch
.
{{pull_request_number}}
: The pull or merge request number, defined only for a pull_request
event type.
{{git_auth_secret}}
: The secret name that is generated automatically with Git provider’s token for checking out private repos.
You can match different Git provider events with each pipeline run by using special annotations on the pipeline run. If there are multiple pipeline runs matching an event, Pipelines as Code runs them in parallel and posts the results to the Git provider as soon a pipeline run finishes.
You can use the following example to match the pipeline-pr-main
pipeline run with a pull_request
event that targets the main
branch:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-pr-main
annotations:
pipelinesascode.tekton.dev/on-target-branch: "[main]" (1)
pipelinesascode.tekton.dev/on-event: "[pull_request]"
# ...
1 | You can specify multiple branches by adding comma-separated entries. For example, "[main, release-nightly]" . In addition, you can specify the following:
|
You can use the following example to match the pipeline-push-on-main
pipeline run with a push
event targeting the refs/heads/main
branch:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-push-on-main
annotations:
pipelinesascode.tekton.dev/on-target-branch: "[refs/heads/main]" (1)
pipelinesascode.tekton.dev/on-event: "[push]"
# ...
1 | You can specify multiple branches by adding comma-separated entries. For example, "[main, release-nightly]" . In addition, you can specify the following:
|
You can use the following example to match the pipeline-comment
pipeline run with a comment on a pull request, when the text of the comment matches the ^/merge-pr
regular expression:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-comment
annotations:
pipelinesascode.tekton.dev/on-comment: "^/merge-pr"
# ...
The pipeline run starts only if the comment author meets one of the following requirements:
The author is the owner of the repository.
The author is a collaborator on the repository.
The author is a public member on the organization of the repository.
The comment author is listed in the approvers
or reviewers
section of the OWNERS
file in the root of the repository, as defined in the Kubernetes documentation. Pipelines as Code supports the specification for the OWNERS
and OWNERS_ALIASES
files. If the OWNERS
file includes a filters section, Pipelines as Code matches approvers and reviewers only against the .*
filter.
Matching a comment event to a pipeline run is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope. |
Pipelines as Code supports using Common Expression Language (CEL) based filtering for advanced event matching. If you have the pipelinesascode.tekton.dev/on-cel-expression
annotation in your pipeline run, Pipelines as Code uses the CEL expression and skips the on-target-branch
annotation. Compared to the simple on-target-branch
annotation matching, the CEL expressions allow complex filtering and negation.
To use CEL-based filtering with Pipelines as Code, consider the following examples of annotations:
To match a pull_request
event targeting the main
branch and coming from the wip
branch:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-advanced-pr
annotations:
pipelinesascode.tekton.dev/on-cel-expression: |
event == "pull_request" && target_branch == "main" && source_branch == "wip"
...
To run a pipeline only if a path has changed, you can use the .pathChanged
suffix function with a glob pattern:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-advanced-pr-pathchanged
annotations:
pipelinesascode.tekton.dev/on-cel-expression: |
event == "pull_request" && "docs/\*.md".pathChanged() (1)
# ...
1 | Matches all markdown files in the docs directory. |
To match all pull requests starting with the title [DOWNSTREAM]
:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-advanced-pr-downstream
annotations:
pipelinesascode.tekton.dev/on-cel-expression: |
event == "pull_request && event_title.startsWith("[DOWNSTREAM]")
# ...
To run a pipeline on a pull_request
event, but skip the experimental
branch:
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
name: pipeline-advanced-pr-not-experimental
annotations:
pipelinesascode.tekton.dev/on-cel-expression: |
event == "pull_request" && target_branch != experimental"
# ...
For advanced CEL-based filtering while using Pipelines as Code, you can use the following fields and suffix functions:
event
: A push
or pull_request
event.
target_branch
: The target branch.
source_branch
: The branch of origin of a pull_request
event. For push
events, it is same as the target_branch
.
event_title
: Matches the title of the event, such as the commit title for a push
event, and the title of a pull or merge request for a pull_request
event. Currently, only GitHub, Gitlab, and Bitbucket Cloud are the supported providers.
.pathChanged
: A suffix function to a string. The string can be a glob of a path to check if the path has changed. Currently, only GitHub and Gitlab are supported as providers.
In addition, you can access the full payload as passed by the Git repository provider. Use the headers
field to access the headers of the payload, for example, headers['x-github-event']
. Use the body
field to access the body of the payload, for example, body.pull_request.state
.
Using the header and body of the payload for CEL-based filtering with Pipelines as Code is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope. |
In the following example, the pipeline run starts only if all of the following conditions are true:
The pull request is targeting the main
branch.
The author of the pull request is superuser
.
The action is synchronize
; this action triggers when an update occurs on a pull request.
apiVersion: tekton.dev/v1
kind: PipelineRun
metadata:
annotations:
pipelinesascode.tekton.dev/on-cel-expression: |
body.pull_request.base.ref == "main" &&
body.pull_request.user.login == "superuser" &&
body.action == "synchronize"
# ...
If you use the If you want to trigger the pipeline run again when using the
|
You can use the temporary installation token generated by Pipelines as Code from GitHub App to access the GitHub API. The token value is stored in the temporary {{git_auth_secret}}
dynamic variable generated for private repositories in the git-provider-token
key.
For example, to add a comment to a pull request, you can use the github-add-comment
task from Tekton Hub using a Pipelines as Code annotation:
...
pipelinesascode.tekton.dev/task: "github-add-comment"
...
You can then add a task to the tasks
section or finally
tasks in the pipeline run definition:
[...]
tasks:
- name:
taskRef:
name: github-add-comment
params:
- name: REQUEST_URL
value: "{{ repo_url }}/pull/{{ pull_request_number }}" (1)
- name: COMMENT_OR_FILE
value: "Pipelines as Code IS GREAT!"
- name: GITHUB_TOKEN_SECRET_NAME
value: "{{ git_auth_secret }}"
- name: GITHUB_TOKEN_SECRET_KEY
value: "git-provider-token"
...
1 | By using the dynamic variables, you can reuse this snippet template for any pull request from any repository. |
On GitHub Apps, the generated installation token is available for 8 hours and scoped to the repository from where the events originate unless configured differently on the cluster. |
With default configuration, Pipelines as Code runs any pipeline run in the .tekton/
directory of the default branch of repository, when specified events such as pull request or push occurs on the repository. For example, if a pipeline run on the default branch has the annotation pipelinesascode.tekton.dev/on-event: "[pull_request]"
, it will run whenever a pull request event occurs.
In the event of a pull request or a merge request, Pipelines as Code also runs pipelines from branches other than the default branch, if the following conditions are met by the author of the pull request:
The author is the owner of the repository.
The author is a collaborator on the repository.
The author is a public member on the organization of the repository.
The pull request author is listed in the approvers
or reviewers
section of the OWNERS
file in the root of the repository, as defined in the Kubernetes documentation. Pipelines as Code supports the specification for the OWNERS
and OWNERS_ALIASES
files. If the OWNERS
file includes a filters section, Pipelines as Code matches approvers and reviewers only against the .*
filter.
If the pull request author does not meet the requirements, another user who meets the requirements can comment /ok-to-test
on the pull request, and start the pipeline run.
A pipeline run always runs in the namespace of the Repository
custom resource definition (CRD) associated with the repository that generated the event.
You can observe the execution of your pipeline runs using the tkn pac
CLI tool.
To follow the execution of the last pipeline run, use the following example:
$ tkn pac logs -n <my-pipeline-ci> -L (1)
1 | my-pipeline-ci is the namespace for the Repository CRD. |
To follow the execution of any pipeline run interactively, use the following example:
$ tkn pac logs -n <my-pipeline-ci> (1)
1 | my-pipeline-ci is the namespace for the Repository CRD.
If you need to view a pipeline run other than the last one, you can use the tkn pac logs command to select a PipelineRun attached to the repository: |
If you have configured Pipelines as Code with a GitHub App, Pipelines as Code posts a URL in the Checks tab of the GitHub App. You can click the URL and follow the pipeline execution.
You can restart or cancel a pipeline run with no events, such as sending a new commit to your branch or raising a pull request. To restart all pipeline runs, use the Re-run all checks feature in the GitHub App.
To restart all or specific pipeline runs, use the following comments:
The /test
and /retest
comment restarts all pipeline runs.
The /test <pipeline_run_name>
and /retest <pipeline_run_name>
comment starts or restarts a specific pipeline run. You can use this command to start any Pipelines as Code pipeline run on the repository, whether or not it was triggered by an event for this pipeline run.
To cancel all or specific pipeline runs, use the following comments:
The /cancel
comment cancels all pipeline runs.
The /cancel <pipeline_run_name>
comment cancels a specific pipeline run.
The results of the comments are visible under the Checks tab of the GitHub App.
The comment starts, restarts, or cancels any pipeline runs only if the comment author meets one of the following requirements:
The author is the owner of the repository.
The author is a collaborator on the repository.
The author is a public member on the organization of the repository.
The comment author is listed in the approvers
or reviewers
section of the OWNERS
file in the root of the repository, as defined in the Kubernetes documentation. Pipelines as Code supports the specification for the OWNERS
and OWNERS_ALIASES
files. If the OWNERS
file includes a filters section, Pipelines as Code matches approvers and reviewers only against the .*
filter.
Using a comment to start a pipeline run that does not match an event is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope. |
If you target a pull request and you use the GitHub App, go to the Checks tab and click Re-run all checks.
If you target a pull or merge request, use the comments inside your pull request:
This is a comment inside a pull request.
/cancel
If you target a push request, include the comments within your commit messages.
This feature is supported for the GitHub provider only. |
Go to your GitHub repository.
Click the Commits section.
Click the commit where you want to restart a pipeline run.
Click on the line number where you want to add a comment.
This is a comment inside a commit.
/retest example_pipeline_run
If you run a command on a commit that exists in multiple branches within a push request, the branch with the latest commit is used. This results in two situations:
|
Depending on the context and supported tools, you can monitor the status of a pipeline run in different ways.
When a pipeline run finishes, the status is added in the Check tabs with limited information on how long each task of your pipeline took, and the output of the tkn pipelinerun describe
command.
When Pipelines as Code detects an error in one of the tasks of a pipeline, a small snippet consisting of the last 3 lines in the task breakdown of the first failed task is displayed.
Pipelines as Code avoids leaking secrets by looking into the pipeline run and replacing secret values with hidden characters. However, Pipelines as Code cannot hide secrets coming from workspaces and envFrom source. |
In the TektonConfig
custom resource, in the pipelinesAsCode.settings
spec, you can set the error-detection-from-container-logs
parameter to true
. In this case, Pipelines as Code detects the errors from the container logs and adds them as annotations on the pull request where the error occurred.
Adding annotations for log error snippets is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope. |
Currently, Pipelines as Code supports only the simple cases where the error looks like makefile
or grep
output of the following format:
<filename>:<line>:<column>: <error message>
You can customize the regular expression used to detect the errors with the error-detection-simple-regexp
parameter. The regular expression uses named groups to give flexibility on how to specify the matching. The groups needed to match are filename
, line
, and error
. You can view the Pipelines as Code config map for the default regular expression.
By default, Pipelines as Code scans only the last 50 lines of the container logs. You can increase this value in the |
For webhook, when the event is a pull request, the status is added as a comment on the pull or merge request.
If a namespace is matched to a Repository
custom resource definition (CRD), Pipelines as Code emits its failure log messages in the Kubernetes events inside the namespace.
The last 5 status messages for a pipeline run is stored inside the Repository
custom resource.
$ oc get repo -n <pipelines-as-code-ci>
NAME URL NAMESPACE SUCCEEDED REASON STARTTIME COMPLETIONTIME
pipelines-as-code-ci https://github.com/openshift-pipelines/pipelines-as-code pipelines-as-code-ci True Succeeded 59m 56m
Using the tkn pac describe
command, you can extract the status of the runs associated with your repository and its metadata.
Pipelines as Code does not manage notifications. If you need to have notifications, use the finally
feature of pipelines.
There can be many pipeline runs in a user namespace. By setting the max-keep-runs
annotation, you can configure Pipelines as Code to retain a limited number of pipeline runs that matches an event. For example:
...
pipelinesascode.tekton.dev/max-keep-runs: "<max_number>" (1)
...
1 | Pipelines as Code starts cleaning up right after it finishes a successful execution, retaining only the maximum number of pipeline runs configured using the annotation.
|
Using an incoming webhook URL and a shared secret, you can start a pipeline run in a repository.
To use incoming webhooks, specify the following within the spec
section of the Repository
custom resource definition (CRD):
The incoming webhook URL that Pipelines as Code matches.
The Git provider and the user token. Currently, Pipelines as Code supports github
, gitlab
, and bitbucket-cloud
.
When using incoming webhook URLs in the context of GitHub app, you must specify the token. |
The target branches and a secret for the incoming webhook URL.
Repository
CRD with incoming webhookapiVersion: "pipelinesascode.tekton.dev/v1alpha1"
kind: Repository
metadata:
name: repo
namespace: ns
spec:
url: "https://github.com/owner/repo"
git_provider:
type: github
secret:
name: "owner-token"
incoming:
- targets:
- main
secret:
name: repo-incoming-secret
type: webhook-url
repo-incoming-secret
secret for incoming webhookapiVersion: v1
kind: Secret
metadata:
name: repo-incoming-secret
namespace: ns
type: Opaque
stringData:
secret: <very-secure-shared-secret>
To trigger a pipeline run located in the .tekton
directory of a Git repository, use the following command:
$ curl -X POST 'https://control.pac.url/incoming?secret=very-secure-shared-secret&repository=repo&branch=main&pipelinerun=target_pipelinerun'
Pipelines as Code matches the incoming URL and treats it as a push
event. However, Pipelines as Code does not report status of the pipeline runs triggered by this command.
To get a report or a notification, add it directly with a finally
task to your pipeline. Alternatively, you can inspect the Repository
CRD with the tkn pac
CLI tool.