ai-testing - #5
Conversation
|
/hold |
|
@Prucek, Interacting with pj-rehearseComment: Once you are satisfied with the results of the rehearsals, comment: |
|
/ai review |
1 similar comment
|
/ai review |
|
/ai |
|
/ai description |
|
/ai pr_description |
|
/ai review |
|
/ai |
|
/refresh |
|
/ai review |
|
/joke |
|
@Prucek: Why did the feline fail the lie detector test? Because he be lion. DetailsIn response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
|
/ai |
|
/ai review |
1 similar comment
|
/ai review |
|
/ai pr_description |
|
/ai review |
6 similar comments
|
/ai review |
|
/ai review |
|
/ai review |
|
/ai review |
|
/ai review |
|
/ai review |
|
@Prucek: @Prucek: failed to get AI review response: failed to send request: Post "http://ai-pr-reviewer-prucek.apps.master.ci.devcluster.openshift.com/review": EOF |
|
/ai review |
|
@Prucek: : Great start on the script, I like the use of a random number to determine motivation levels. Here are some suggestions for improvement:
Here's an example of |
|
/ai commit_message |
|
@Prucek: failed to get AI review response: failed to post to AI service: failed to get a successful response after 3 retries |
|
@Prucek, Interacting with pj-rehearseComment: Once you are satisfied with the results of the rehearsals, comment: |
|
/ai review |
|
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: Prucek The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
Approvers can indicate their approval by writing |
|
@Prucek: failed to get AI review response: failed to post to AI service: failed to send request: Post "http://ai-pr-reviewer-prucek.apps.master.ci.devcluster.openshift.com/review": EOF |
|
/ai review |
|
@Prucek: This PR adds a new ServiceAccount, Service, and Deployment for an AI plugin in the
These suggestions should help improve the overall readability and security of the configuration. Good job on the PR! |
|
/ai pr_description |
|
@Prucek: This PR introduces a new ServiceAccount, Service, and Deployment for an AI plugin in the However, some points for improvement could be:
|
|
/ai pr_description |
|
@Prucek: Introducing a new deployment for the AI plugin in the CI cluster. This includes a ServiceAccount, Service, and Deployment configuration with the latest AI-plugin image. The plugin uses GitHub App ID and private key for authentication and runs with 300Mi memory and 50m CPU. The liveness and readiness probes are set to ensure the plugin is healthy. |
|
/ai review |
1 similar comment
|
/ai review |
|
/ai review |
|
@Prucek: ### Summary A new
Minor style notes
Bottom‑line recommendationApply the probe‑port fix first (this will unblock the pod). Then clean up the duplicate GitHub endpoint flag and, if possible, add resource limits. Once those changes pass CI linting, the change is ready to go. |
|
/ai commit_msg |
|
@Prucek: General Impression You’ve added a tidy, self‑contained set of manifests for the AI‑plugin in the Prow cluster. The labels, selectors, and OpenShift trigger annotation are all in place, making the deployment straightforward to manage from the CI pipeline. Below are a few observations that, when addressed, will make the resource more robust and production‑ready. 1. Health‑check port mismatchlivenessProbe:
httpGet:
path: /healthz
port: 8081And yet the only container port exposed is ports:
- name: http
containerPort: 8888If the container does not listen on port 8081, both probes will immediately fail and Prow will keep restarting the pod. Verify that the application really serves its health endpoints on 8081, or change the probe to use the correct port (likely 2. Duplicate
|
|
/ai commit_message |
|
@Prucek: Conventional commit message |
|
/ai pr_description |
|
@Prucek: ### Pull Request Summary Adds a fully‑defined AI‑review plugin for the ci prow cluster. The change introduces three new Kubernetes objects:
Key highlights:
No existing objects are modified; this is an additive change, making the AI review plugin available for prow jobs out of the box. |
|
/ai pr_description |
|
@Prucek: |
|
/ai review |
|
/ai commit_message |
|
@Prucek:
Overall, a quick tweak of the probes and a cleanup of the GitHub flags will make the bundle production‑ready. |
|
@Prucek: |
* ci: use spike-420-issues images for CI rehearsal validation Updated OPCT workflow to use development images for testing fixes to CI failures in OCP 4.20+ clusters. Changes: - Updated OPCT_CLI_IMAGE to quay.io/mrbraga/opct:spike-420-issues - Added OPCT_DEV_EXTRA_CMD with --plugins-image flag pointing to quay.io/mrbraga/plugin-openshift-tests:spike-420-issues-buildx This allows testing custom images without modifying pkg/types.go, using the --plugins-image CLI argument instead of hardcoded defaults. Built images: - opct CLI: quay.io/mrbraga/opct:spike-420-issues - plugins: quay.io/mrbraga/plugin-openshift-tests:spike-420-issues-buildx Related fixes being tested: - Issue #1: Fixed map printing in status utils - Issue #2 & #3: Fixed HTML encoding and messages in printer - Issue #4: Added failure propagation between plugins - Issue #5: Made log level configurable via LOG_LEVEL env var - Issue #6: Fixed time calculation bug in archive metalog - Issue #7: Added k8s conformance test extraction for OCP 4.20+ 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> testing with latest opct version validate 0.6.1 * Removing changes in AI workflow as is not monitored by SPLAT
3 participants
No description provided.