Scope rule engine rollout permissions
Build and publish rule engine / release (push) Failing after 11s
Build and publish rule engine / release (push) Failing after 11s
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@@ -19,6 +19,16 @@ jobs:
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token: ${{ secrets.GITEA_TOKEN }}
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persist-credentials: true
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- name: Check release credentials before changing the version
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shell: bash
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env:
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HARBOR_USERNAME: ${{ secrets.HARBOR_USERNAME }}
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HARBOR_PASSWORD: ${{ secrets.HARBOR_PASSWORD }}
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run: |
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set -euo pipefail
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test -n "$HARBOR_USERNAME" || { echo 'Missing HARBOR_USERNAME action secret'; exit 1; }
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test -n "$HARBOR_PASSWORD" || { echo 'Missing HARBOR_PASSWORD action secret'; exit 1; }
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- name: Test and lint in the shared builder image
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shell: bash
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run: |
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@@ -115,8 +125,11 @@ jobs:
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echo 'NATS is not installed yet. The backend release pipeline bootstraps NATS and this Argo Application.'
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exit 0
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fi
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if ! kubectl -n argocd get application ai-spel-rule-engine >/dev/null 2>&1; then
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echo 'The backend release pipeline owns first-time Argo Application creation; skipping this worker-only rollout.'
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exit 0
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fi
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kubectl -n ai-spel rollout status statefulset/ai-spel-nats --timeout=10m
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kubectl -n argocd apply -f deploy/argocd/application.yaml
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kubectl -n argocd patch application ai-spel-rule-engine --type merge -p "{\"spec\":{\"source\":{\"targetRevision\":\"$version\"}}}"
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deadline=$((SECONDS + 600))
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while (( SECONDS < deadline )); do
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@@ -21,3 +21,13 @@ For source development, the Rust commands are `cargo fmt --all -- --check`,
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`cargo test --workspace`, and `cargo clippy --workspace --all-targets -- -D warnings`.
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Production builds, tests, image builds, and executable verification for this
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project are run by Gitea Actions on the existing `large` runner and Kubernetes.
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## Release deployment boundary
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The API repository owns first-time NATS and Argo Application provisioning. The
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worker release pipeline publishes this repository's versioned image and chart,
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then updates the existing `ai-spel-rule-engine` Argo Application. It uses the
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`AI_SPEL_TEST_KUBECONFIG` repository action secret, scoped to patch that one
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Argo Application and read rollout health in namespace `ai-spel`. The one-time
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service-account roles are described in `deploy/ci/namespace-scoped-rbac.yaml`;
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they do not grant database, secret, workload-write, or cluster-wide access.
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@@ -0,0 +1,66 @@
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apiVersion: v1
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kind: ServiceAccount
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metadata:
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name: ai-spel-rule-engine-deployer
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namespace: argocd
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---
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apiVersion: v1
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kind: Secret
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metadata:
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name: ai-spel-rule-engine-deployer-token
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namespace: argocd
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annotations:
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kubernetes.io/service-account.name: ai-spel-rule-engine-deployer
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type: kubernetes.io/service-account-token
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: Role
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metadata:
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name: ai-spel-rule-engine-deployer
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namespace: argocd
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rules:
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- apiGroups: [argoproj.io]
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resources: [applications]
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resourceNames: [ai-spel-rule-engine]
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verbs: [get, patch]
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: RoleBinding
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metadata:
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name: ai-spel-rule-engine-deployer
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namespace: argocd
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subjects:
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- kind: ServiceAccount
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name: ai-spel-rule-engine-deployer
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namespace: argocd
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roleRef:
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apiGroup: rbac.authorization.k8s.io
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kind: Role
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name: ai-spel-rule-engine-deployer
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: Role
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metadata:
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name: ai-spel-rule-engine-deployer
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namespace: ai-spel
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rules:
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- apiGroups: [apps]
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resources: [deployments, replicasets, statefulsets]
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verbs: [get, list, watch]
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- apiGroups: [""]
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resources: [pods, events]
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verbs: [get, list, watch]
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---
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apiVersion: rbac.authorization.k8s.io/v1
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kind: RoleBinding
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metadata:
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name: ai-spel-rule-engine-deployer
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namespace: ai-spel
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subjects:
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- kind: ServiceAccount
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name: ai-spel-rule-engine-deployer
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namespace: argocd
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roleRef:
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apiGroup: rbac.authorization.k8s.io
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kind: Role
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name: ai-spel-rule-engine-deployer
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