Using in Tekton Pipeline
🗓️ Last updated on June 10, 2024 | 3 | Improve this pageOverview
This guide shows you how to integrate Microcks into your Tekton
Pipelines. Microcks provides 2 Tekton Tasks
for interacting with a Microcks instance. They allow you to:
- Import Artifacts in a Microcks instance. If import succeeds is pursuing, if not it fails,
- Launch a test on a deployed API endpoint. If test succeeds (ie. API endpoint is conformant with API contract in Microcks) the workflow is pursuing, if not it fails.
Those 2 tasks are basically a wrapper around the Microcks CLI and are using Service Account .
1. Import Tasks in your cluster
Microcks Tekton Tasks are located in the /tekton
folder of the Microcks CLI repository
.
The microcks-import-task.yaml
holds a Tekton Task definition for importing artifacts.
The microcks-test-task.yaml
holds a Tekton Task definition for launching test.
Both tasks require that you first create a Kubernetes Secret
named microcks-keycloak-client-secret
to hold your Service Account information, here’s below a sample of such a Secret using the default provided Service Account information:
kind: Secret
apiVersion: v1
type: Opaque
metadata:
name: microcks-keycloak-client-secret
stringData:
clientId: microcks-serviceaccount
clientSecret: ab54d329-e435-41ae-a900-ec6b3fe15c54
After having created the above secret, you can import both tasks in your cluster namespace:
kubectl create -f https://raw.githubusercontent.com/microcks/microcks-cli/master/tekton/microcks-import-task.yaml -n my-namespace
kubectl create -f https://raw.githubusercontent.com/microcks/microcks-cli/master/tekton/microcks-test-task.yaml -n my-namespace
2. Use Tasks in a Pipeline
Once the tasks are registrated within your cluster namespace, you can integrate them within your Pipeline
like this:
apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
name: user-registration-tekton-pipeline
spec:
tasks:
- name: deploy-app
taskRef:
[...]
- name: test-openapi-v1
taskRef:
name: microcks-test
runAfter:
- deploy-app
params:
- name: apiNameAndVersion
value: "User registration API:1.0.0"
- name: testEndpoint
value: http://user-registration.apps.acme.com
- name: runner
value: OPEN_API_SCHEMA
- name: microcksURL
value: https://microcks.acme.com/api/
- name: waitFor
value: 8sec
Here above, your pipleine will first deploy your application and then ask Microcks to execute an OPEN_API_SCHEMA
conformance test on the freshly deployed application (supposed to be on the http://user-registration.apps.acme.com
endpoint here).
The parameters that can be set here are:
- The
apiNameAndVersion
to launch tests for: this is simply aservice_name:service_version
expression, - The
testEndpoint
to test: this is a valid endpoint where your service or API implementation has been deployed, - The
runner
to use: this is the test strategy you may want to have regarding endpoint, - The
microcksURL
to access the Microcks API endpoint, - The
waitFor
that is the specification of a test timeout.
3. Run your Pipeline
Pipeline
can be executed through a new PipelineRun
resource creation or using the tkn
CLI tool. This time we’re using the CLI tool to start a new pipeline:
$ tkn pipelinerun start user-registration-tekton-pipeline
PipelineRun started: user-registration-tekton-pipeline-run-64xf7
Showing logs...
[...]
tkn
can also be used later to retrieve the logs for the pipeline execution:
$ tkn pipeline logs user-registration-tekton-pipeline-run-64xf7 -f -n user-registration
[...]
[test-openapi-v1 : microcks-test] MicrocksClient got status for test "5f76e969dcba620f6d21008d" - success: false, inProgress: true
[test-openapi-v1 : microcks-test] MicrocksTester waiting for 2 seconds before checking again or exiting.
[test-openapi-v1 : microcks-test] MicrocksClient got status for test "5f76e969dcba620f6d21008d" - success: false, inProgress: true
[test-openapi-v1 : microcks-test] MicrocksTester waiting for 2 seconds before checking again or exiting.
[test-openapi-v1 : microcks-test] MicrocksClient got status for test "5f76e969dcba620f6d21008d" - success: true, inProgress: false
[test-openapi-v1 : microcks-test] Full TestResult details are available here: https://microcks.acme.com/#/tests/5f76e969dcba620f6d21008d
[...]
Using the OpenShift Pipelines implementation of Tekton, you may easily get all this information at hands within the Developer Console of your OpenShift cluster. Here’s belo a capture of our pipeline execution:
With the view to access the logs of this execution:
Wrap-up
You have learned how to get and use the Microcks Tekton Tasks for your pipeline running on Kubernetes! 🎉
If you want to learn more about that, you can check our full Continuous Testing of ALL your APIs demonstration that has been built with the resource from the API Lifecycle repository .
The most up-to-date information and reference documentation can be found into the repository README .
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