eb8160e659
Educational RunWhen CodeCollection that discovers Crossplane GCP Bucket CRDs (storage.gcp.upbound.io/v1beta1) and generates one SLX per bucket. Ships only generation rules and Jinja templates; the runtime lives in rw-generic-codecollection/k8s-kubectl-cmd (already loaded by the airgap runner). Includes: - codebundles/gcp-bucket-crossplane-health with generation rule + 3 templates - docs/01..07 numbered training chapters with screenshot placeholders - README, .gitignore Co-authored-by: Cursor <cursoragent@cursor.com>
145 lines
4.7 KiB
Markdown
145 lines
4.7 KiB
Markdown
# 07 — Validate and observe
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## What you'll do
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Confirm end-to-end that:
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1. The generation rule is schema-valid.
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2. Workspace-builder clones the private CC from Gitea.
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3. One SLX is rendered per Crossplane Bucket in the cluster.
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4. The RunWhen Platform receives the SLXs and the SLI + TaskSet run.
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## Step 1 — Local schema validation
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If you have `runwhen-local` checked out, you can validate before pushing:
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```bash
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cd /path/to/runwhen-local/src
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python3 validate_generation_rules.py /path/to/simple-private-codecollection -v
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```
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Expected:
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```
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No validation errors found.
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```
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Or a one-liner without cloning `runwhen-local`:
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```bash
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python3 -c "
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import json, yaml, jsonschema, urllib.request
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schema = json.loads(urllib.request.urlopen(
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'https://raw.githubusercontent.com/runwhen-contrib/runwhen-local/main/src/generation-rule-schema.json'
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).read())
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with open('codebundles/gcp-bucket-crossplane-health/.runwhen/generation-rules/gcp-bucket-crossplane-health.yaml') as f:
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jsonschema.validate(yaml.safe_load(f), schema)
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print('OK')
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"
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```
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Screenshot placeholder: `images/07-schema-validation.png`.
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## Step 2 — Push to Gitea
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```bash
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git add .
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git commit -m "Initial codecollection: Crossplane GCP Bucket rules-only example"
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git push -u origin main
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```
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Refresh the Gitea repo URL in a browser — you should see the file tree.
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Screenshot placeholder: `images/07-gitea-repo.png` — Gitea file browser
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showing `codebundles/` and `docs/`.
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## Step 3 — Reconcile Flux
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```bash
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flux reconcile hr runwhen-local -n runwhen-env-airgap-runner --with-source
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```
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## Step 4 — Watch workspace-builder logs
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```bash
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kubectl -n runwhen-env-airgap-runner logs \
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-l runwhen.com/component=workspace-builder \
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-c workspace-builder --tail=200 -f
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```
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Look for lines like:
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- `Cloning from git source: https://.../simple-private-codecollection.git`
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- `Loading generation rules from ...gcp-bucket-crossplane-health.yaml`
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- `Rendered N SLXs` (where N is the number of Buckets)
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Common errors and their meaning:
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| Error | Cause |
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|-------|-------|
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| `fatal: Authentication failed` on clone | Token in URL missing, expired, or lacks read scope |
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| `KeyError: 'match_resource'` in a template | Jinja variable typo, or trying to use a variable that isn't populated for the platform |
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| `Validation failed for ... generation rule ... required "outputItems"` | Schema drift — check the JSON schema |
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| `No matches for resource type buckets.storage.gcp.upbound.io/v1beta1` | The CRD isn't installed on this cluster, or the plural is wrong |
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| `Forbidden ... cannot list buckets.storage.gcp.upbound.io` | Missing RBAC for `workspace-builder` SA |
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Screenshot placeholder: `images/07-workspace-builder-logs.png`.
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## Step 5 — Inspect rendered SLXs in the runner filesystem
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`workspace-builder` writes the rendered artifacts to disk before
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uploading them. Peek at one:
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```bash
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kubectl -n runwhen-env-airgap-runner exec deploy/runwhen-local \
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-c workspace-builder -- \
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find /shared/output -type f | grep xp-bkt-hlth | head -5
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```
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Then read one:
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```bash
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kubectl -n runwhen-env-airgap-runner exec deploy/runwhen-local \
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-c workspace-builder -- \
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cat /shared/output/output/slx/<name>/sli.yaml
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```
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Confirm the `codeBundle.repoUrl` points at the internal
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`rw-generic-codecollection` proxy and the `KUBECTL_COMMAND` includes
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the bucket name.
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## Step 6 — See it in the RunWhen UI
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Sign into the RunWhen workspace UI:
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`https://app.airgap.shared.runwhen.com/map/self`
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You should see one SLX per Bucket under the `shared-cluster` hierarchy.
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Click into one — the SLI panel should already be graphing a value near
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`1.0` (assuming buckets are healthy). Trigger the TaskSet from the SLX
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detail page and confirm the report includes `Command stdout` showing
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the JSON envelope, and any non-True conditions become issues.
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Screenshot placeholders:
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- `images/07-runwhen-map.png` — the map view with the new SLXs visible.
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- `images/07-sli-graph.png` — the SLI panel graphing 1.0.
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- `images/07-taskset-report.png` — the TaskSet execution report.
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- `images/07-issue-detail.png` — a rendered issue (deliberately break a
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Bucket by editing the Crossplane spec to force a `Synced=False`
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condition, so we can capture what an unhealthy report looks like).
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## Iteration checklist
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- [ ] Iteration 1: end-to-end plumbing works, SLXs are generated,
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SLI graphs are populated. **(You are here.)**
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- [ ] Iteration 2: screenshots captured and inlined in these chapters.
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- [ ] Iteration 3: prose polish, `.test/` harness for local
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`runwhen-local` container validation, migration to Option A
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(cc-catalog proxy) for production hygiene.
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## Where to file feedback
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If something in these docs is confusing or wrong, edit the markdown
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directly and push. This is a living training guide — improvements are
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expected.
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