Add isolated Luau rule engine service
Build and publish rule engine / release (push) Failing after 1m34s
Build and publish rule engine / release (push) Failing after 1m34s
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name: Build and publish rule engine
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on:
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push:
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branches: [main]
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tags: ["v*"]
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permissions:
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contents: write
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jobs:
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release:
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runs-on: large
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if: ${{ !startsWith(github.ref, 'refs/heads/') || !contains(github.event.head_commit.message, '[auto-version-bump]') }}
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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with:
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token: ${{ secrets.GITEA_TOKEN }}
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persist-credentials: true
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- name: Test and lint in the shared builder image
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shell: bash
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run: |
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set -euo pipefail
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docker run --rm \
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--volume "$PWD:/src" \
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--volume ai-spel-rule-engine-cargo:/src/target \
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--workdir /src \
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harbor.k3s.k0.nu/ai-spel/game-builder:rust1.89-v2 \
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sh -c 'cargo generate-lockfile && cargo fmt --all && cargo fmt --all -- --check && cargo test --workspace && cargo clippy --locked --workspace --all-targets -- -D warnings'
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- name: Bump version and create Git tag
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id: bump
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if: startsWith(github.ref, 'refs/heads/')
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shell: bash
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run: |
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set -euo pipefail
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git fetch origin main --quiet
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test "$(git rev-parse origin/main)" = "$GITHUB_SHA"
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version="$(python3 scripts/bump-release-version.py)"
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git config user.name "Gitea Actions"
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git config user.email "actions@users.noreply.gitea"
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git add -u
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git add Cargo.toml Cargo.lock deploy/helm/ai-spel-rule-engine/Chart.yaml deploy/argocd/application.yaml
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git commit -m "Release $version [auto-version-bump]"
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git tag -a "v$version" -m "v$version"
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git push origin HEAD:main "refs/tags/v$version"
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echo "version=$version" >> "$GITHUB_OUTPUT"
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- name: Build and publish image and Helm chart
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id: publish
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if: ${{ startsWith(github.ref, 'refs/tags/') || steps.bump.outputs.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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AUTO_RELEASE_VERSION: ${{ steps.bump.outputs.version }}
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run: |
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set -euo pipefail
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version="${AUTO_RELEASE_VERSION:-${GITHUB_REF_NAME#v}}"
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printf '%s' "$HARBOR_PASSWORD" | docker login harbor.k3s.k0.nu --username "$HARBOR_USERNAME" --password-stdin
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image="harbor.k3s.k0.nu/ai-spel/rule-engine:$version"
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docker build --platform linux/amd64 --pull --tag "$image" .
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docker image push "$image"
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helm_version=v3.17.3
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if ! command -v helm >/dev/null 2>&1; then
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mkdir -p "$RUNNER_TEMP/helm" "$HOME/.local/bin"
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archive="helm-${helm_version}-linux-amd64.tar.gz"
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curl -fsSLo "$RUNNER_TEMP/helm/$archive" "https://get.helm.sh/$archive"
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curl -fsSLo "$RUNNER_TEMP/helm/$archive.sha256sum" "https://get.helm.sh/$archive.sha256sum"
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(cd "$RUNNER_TEMP/helm" && sha256sum -c "$archive.sha256sum")
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tar -xzf "$RUNNER_TEMP/helm/$archive" -C "$RUNNER_TEMP/helm"
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install "$RUNNER_TEMP/helm/linux-amd64/helm" "$HOME/.local/bin/helm"
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echo "$HOME/.local/bin" >> "$GITHUB_PATH"
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export PATH="$HOME/.local/bin:$PATH"
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fi
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helm lint deploy/helm/ai-spel-rule-engine
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package_dir="$(mktemp -d)"
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trap 'rm -rf "$package_dir"' EXIT
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helm package deploy/helm/ai-spel-rule-engine --destination "$package_dir" --version "$version" --app-version "$version"
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printf '%s' "$HARBOR_PASSWORD" | helm registry login harbor.k3s.k0.nu --username "$HARBOR_USERNAME" --password-stdin
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helm push "$package_dir/ai-spel-rule-engine-$version.tgz" oci://harbor.k3s.k0.nu/ai-spel
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helm template ai-spel-rule-engine "$package_dir/ai-spel-rule-engine-$version.tgz" --namespace ai-spel > "$package_dir/manifest.yaml"
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oras_version=1.2.3
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mkdir -p "$RUNNER_TEMP/oras"
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curl -fsSLo "$RUNNER_TEMP/oras/oras.tgz" "https://github.com/oras-project/oras/releases/download/v${oras_version}/oras_${oras_version}_linux_amd64.tar.gz"
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echo 'b4efc97a91f471f323f193ea4b4d63d8ff443ca3aab514151a30751330852827 '"$RUNNER_TEMP/oras/oras.tgz" | sha256sum -c -
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tar -xzf "$RUNNER_TEMP/oras/oras.tgz" -C "$RUNNER_TEMP/oras" oras
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install "$RUNNER_TEMP/oras/oras" "$RUNNER_TEMP/oras-bin"
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printf '%s' "$HARBOR_PASSWORD" | "$RUNNER_TEMP/oras-bin" login harbor.k3s.k0.nu --username "$HARBOR_USERNAME" --password-stdin
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unset HARBOR_PASSWORD
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"$RUNNER_TEMP/oras-bin" push --artifact-type application/vnd.ai-spel.kubernetes-manifest.v1 \
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"harbor.k3s.k0.nu/ai-spel/rule-engine-manifest:$version" \
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"$package_dir/manifest.yaml:application/yaml"
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echo "version=$version" >> "$GITHUB_OUTPUT"
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- name: Deploy rule engine through Argo CD
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if: ${{ startsWith(github.ref, 'refs/tags/') || steps.bump.outputs.version != '' }}
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shell: bash
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env:
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KUBECONFIG_B64: ${{ secrets.AI_SPEL_TEST_KUBECONFIG }}
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AUTO_RELEASE_VERSION: ${{ steps.bump.outputs.version }}
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run: |
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set -euo pipefail
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test -n "$KUBECONFIG_B64"
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mkdir -p "$RUNNER_TEMP/kube"
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printf '%s' "$KUBECONFIG_B64" | base64 -d > "$RUNNER_TEMP/kube/config"
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chmod 600 "$RUNNER_TEMP/kube/config"
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unset KUBECONFIG_B64
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export KUBECONFIG="$RUNNER_TEMP/kube/config"
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version="${AUTO_RELEASE_VERSION:-${GITHUB_REF_NAME#v}}"
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if ! kubectl -n ai-spel get statefulset ai-spel-nats >/dev/null 2>&1 \
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&& ! kubectl -n argocd get application ai-spel-rule-engine >/dev/null 2>&1; then
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echo 'NATS is not installed yet. The backend release pipeline bootstraps NATS and this Argo Application.'
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exit 0
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fi
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kubectl -n ai-spel rollout status statefulset/ai-spel-nats --timeout=10m
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kubectl -n argocd apply -f deploy/argocd/application.yaml
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kubectl -n argocd patch application ai-spel-rule-engine --type merge -p "{\"spec\":{\"source\":{\"targetRevision\":\"$version\"}}}"
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deadline=$((SECONDS + 600))
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while (( SECONDS < deadline )); do
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sync="$(kubectl -n argocd get application ai-spel-rule-engine -o jsonpath='{.status.sync.status}')"
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health="$(kubectl -n argocd get application ai-spel-rule-engine -o jsonpath='{.status.health.status}')"
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if [[ "$sync" == Synced && "$health" == Healthy ]]; then break; fi
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sleep 5
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done
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[[ "$sync" == Synced && "$health" == Healthy ]] || {
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echo "Argo CD did not reach Synced/Healthy for rule engine $version"
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kubectl -n argocd get application ai-spel-rule-engine -o jsonpath='{.status.conditions[*].message}'
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exit 1
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}
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kubectl -n ai-spel rollout status deployment/ai-spel-rule-engine --timeout=10m
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kubectl -n ai-spel get pods -l app.kubernetes.io/instance=ai-spel-rule-engine -o wide
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