E2E Tests #8

Workflow file for this run

.github/workflows/e2e-tests.yaml at 554df15

	name: E2E Tests

	on:
	pull_request:
	branches:
	- main
	paths:
	- 'frontend/**'
	- 'deploy/helm/**'
	- 'tests/**'
	- '.github/workflows/e2e-tests.yaml'
	push:
	branches:
	- main
	workflow_dispatch:

	# MaaS configuration - can be overridden with repository secrets for different environments
	env:
	MAAS_ENDPOINT: ${{ secrets.MAAS_ENDPOINT }}
	MAAS_MODEL_ID: ${{ secrets.MAAS_MODEL_ID }}
	# MAAS_API_KEY is passed as a secret in the helm install step

	jobs:
	unit-tests:
	name: Unit Tests
	runs-on: ubuntu-latest
	timeout-minutes: 10

	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'

	- name: Install unit test dependencies
	run: \|
	pip install -r tests/unit/requirements.txt

	- name: Run unit tests
	run: \|
	pytest tests/unit/ -v --tb=short --cov=frontend --cov-report=term-missing

	- name: Upload unit test results
	if: always()
	uses: actions/upload-artifact@v4
	with:
	name: unit-test-results
	path: \|
	.coverage
	htmlcov/

	integration-tests:
	name: Integration Tests (Streamlit App)
	runs-on: ubuntu-latest
	timeout-minutes: 15
	needs: unit-tests

	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'

	- name: Install integration test dependencies
	run: \|
	pip install -r tests/integration/requirements.txt

	- name: Run integration tests
	run: \|
	pytest tests/integration/test_*.py -v --tb=short

	- name: Upload integration test results
	if: always()
	uses: actions/upload-artifact@v4
	with:
	name: integration-test-results
	path: pytest-results/

	llamastack-integration-tests:
	name: LlamaStack Integration Tests
	runs-on: ubuntu-latest
	timeout-minutes: 60
	needs: unit-tests
	# Skip this job for fork PRs since secrets are not available
	if: github.event_name == 'push' \|\| github.event_name == 'workflow_dispatch' \|\| (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository)

	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'

	- name: Install test dependencies
	run: \|
	pip install -r tests/integration/llamastack/requirements.txt

	- name: Create Kind cluster config file
	run: \|
	cat <<EOF > kind-config.yaml
	kind: Cluster
	apiVersion: kind.x-k8s.io/v1alpha4
	nodes:
	- role: control-plane
	extraPortMappings:
	- containerPort: 30080
	hostPort: 8501
	protocol: TCP
	- containerPort: 30081
	hostPort: 8321
	protocol: TCP
	EOF

	- name: Create Kind cluster
	uses: helm/kind-action@v1
	with:
	cluster_name: rag-e2e
	config: kind-config.yaml

	- name: Install Required CRDs
	run: \|
	echo "Installing CRDs required by helm chart subcomponents..."

	# OpenShift Route CRD
	kubectl apply -f - <<EOF
	apiVersion: apiextensions.k8s.io/v1
	kind: CustomResourceDefinition
	metadata:
	name: routes.route.openshift.io
	spec:
	group: route.openshift.io
	names:
	kind: Route
	listKind: RouteList
	plural: routes
	singular: route
	scope: Namespaced
	versions:
	- name: v1
	served: true
	storage: true
	schema:
	openAPIV3Schema:
	type: object
	x-kubernetes-preserve-unknown-fields: true
	EOF

	# KServe InferenceService CRD
	kubectl apply -f - <<EOF
	apiVersion: apiextensions.k8s.io/v1
	kind: CustomResourceDefinition
	metadata:
	name: inferenceservices.serving.kserve.io
	spec:
	group: serving.kserve.io
	names:
	kind: InferenceService
	listKind: InferenceServiceList
	plural: inferenceservices
	singular: inferenceservice
	scope: Namespaced
	versions:
	- name: v1beta1
	served: true
	storage: true
	schema:
	openAPIV3Schema:
	type: object
	x-kubernetes-preserve-unknown-fields: true
	EOF

	# KServe ServingRuntime CRD
	kubectl apply -f - <<EOF
	apiVersion: apiextensions.k8s.io/v1
	kind: CustomResourceDefinition
	metadata:
	name: servingruntimes.serving.kserve.io
	spec:
	group: serving.kserve.io
	names:
	kind: ServingRuntime
	listKind: ServingRuntimeList
	plural: servingruntimes
	singular: servingruntime
	scope: Namespaced
	versions:
	- name: v1alpha1
	served: true
	storage: true
	schema:
	openAPIV3Schema:
	type: object
	x-kubernetes-preserve-unknown-fields: true
	EOF

	# OpenDataHub DataSciencePipelinesApplication CRD
	kubectl apply -f - <<EOF
	apiVersion: apiextensions.k8s.io/v1
	kind: CustomResourceDefinition
	metadata:
	name: datasciencepipelinesapplications.datasciencepipelinesapplications.opendatahub.io
	spec:
	group: datasciencepipelinesapplications.opendatahub.io
	names:
	kind: DataSciencePipelinesApplication
	listKind: DataSciencePipelinesApplicationList
	plural: datasciencepipelinesapplications
	singular: datasciencepipelinesapplication
	scope: Namespaced
	versions:
	- name: v1
	served: true
	storage: true
	schema:
	openAPIV3Schema:
	type: object
	x-kubernetes-preserve-unknown-fields: true
	EOF

	# Kubeflow Notebook CRD
	kubectl apply -f - <<EOF
	apiVersion: apiextensions.k8s.io/v1
	kind: CustomResourceDefinition
	metadata:
	name: notebooks.kubeflow.org
	spec:
	group: kubeflow.org
	names:
	kind: Notebook
	listKind: NotebookList
	plural: notebooks
	singular: notebook
	scope: Namespaced
	versions:
	- name: v1
	served: true
	storage: true
	schema:
	openAPIV3Schema:
	type: object
	x-kubernetes-preserve-unknown-fields: true
	EOF

	echo "Waiting for all CRDs to be established..."
	kubectl wait --for condition=established --timeout=60s crd/routes.route.openshift.io
	kubectl wait --for condition=established --timeout=60s crd/inferenceservices.serving.kserve.io
	kubectl wait --for condition=established --timeout=60s crd/servingruntimes.serving.kserve.io
	kubectl wait --for condition=established --timeout=60s crd/datasciencepipelinesapplications.datasciencepipelinesapplications.opendatahub.io
	kubectl wait --for condition=established --timeout=60s crd/notebooks.kubeflow.org

	echo "✅ All required CRDs installed successfully"

	- name: Verify cluster
	run: \|
	kubectl cluster-info
	kubectl get nodes
	kubectl get pods -A
	kubectl get crds \| grep route \|\| echo "Route CRD check"

	- name: Add Helm repository
	run: \|
	helm repo add rag-charts https://rh-ai-quickstart.github.io/ai-architecture-charts
	helm repo update

	- name: Build Helm dependencies
	run: \|
	cd deploy/helm/rag
	helm dependency build

	- name: Display MaaS configuration
	run: \|
	echo "========================================="
	echo "MaaS Configuration (Public)"
	echo "========================================="
	echo "Model ID: ${MAAS_MODEL_ID}"
	echo "Endpoint: ${MAAS_ENDPOINT}"
	echo "========================================="

	- name: Validate MaaS API key
	env:
	MAAS_API_KEY: ${{ secrets.MAAS_API_KEY }}
	run: \|
	# Check if MAAS_API_KEY secret is set
	if [ -z "${MAAS_API_KEY}" ]; then
	echo ""
	echo "❌ ERROR: MAAS_API_KEY secret is not configured!"
	echo ""
	# Check if this is a fork PR
	if [ "${{ github.event_name }}" = "pull_request" ] && [ "${{ github.event.pull_request.head.repo.full_name }}" != "${{ github.repository }}" ]; then
	echo "⚠️ This appears to be a pull request from a fork."
	echo "GitHub Actions does not provide access to secrets for security reasons"
	echo "when running workflows triggered by pull requests from forks."
	fi
	echo ""
	echo "To fix this, add the MAAS_API_KEY secret to your repository:"
	echo "1. Go to: Settings > Secrets and variables > Actions"
	echo "2. Click 'New repository secret'"
	echo "3. Name: MAAS_API_KEY"
	echo "4. Value: Your Red Hat MaaS API key"
	echo ""
	echo "Note: For fork PRs, these tests will be skipped automatically."
	echo "For more information, see:"
	echo "https://docs.github.com/en/actions/security-guides/using-secrets-in-github-actions"
	echo ""
	exit 1
	fi

	echo "✅ MaaS API key is configured"

	- name: Install RAG application with MaaS
	env:
	MAAS_API_KEY: ${{ secrets.MAAS_API_KEY }}
	run: \|
	# Create namespace
	kubectl create namespace rag-e2e \|\| true

	echo "========================================="
	echo "Installing RAG application with MaaS"
	echo "========================================="
	echo "Using model: ${MAAS_MODEL_ID}"
	echo "Helm chart: deploy/helm/rag"
	echo "Namespace: rag-e2e"
	echo "Values: tests/e2e/values-e2e.yaml"
	echo "========================================="

	# Install the chart with e2e values
	# Override MaaS configuration from environment variables
	# Note: All MaaS settings (endpoint, model ID, API key) passed via --set
	# Some values may appear as *** in logs due to GitHub Actions secret masking
	helm install rag deploy/helm/rag \
	--namespace rag-e2e \
	--values tests/e2e/values-e2e.yaml \
	--set global.models.${MAAS_MODEL_ID}.url="${MAAS_ENDPOINT}" \
	--set global.models.${MAAS_MODEL_ID}.id="${MAAS_MODEL_ID}" \
	--set global.models.${MAAS_MODEL_ID}.enabled=true \
	--set global.models.${MAAS_MODEL_ID}.apiToken="${MAAS_API_KEY}" \
	--set-json llama-stack.initContainers='[]' \
	--skip-crds \
	--timeout 20m \
	--debug

	- name: Wait for core services to be ready
	run: \|
	echo "========================================="
	echo "Listing all resources in namespace..."
	echo "========================================="
	kubectl get all -n rag-e2e

	echo ""
	echo "========================================="
	echo "Checking deployments..."
	echo "========================================="
	kubectl get deployments -n rag-e2e -o wide

	echo ""
	echo "========================================="
	echo "Checking pods..."
	echo "========================================="
	kubectl get pods -n rag-e2e -o wide

	echo ""
	echo "========================================="
	echo "Waiting for Llama Stack deployment (10min timeout)..."
	echo "========================================="
	kubectl wait --for=condition=available --timeout=600s \
	deployment/llamastack -n rag-e2e \|\| {
	echo "❌ Llama Stack deployment failed to become available"
	echo "Pod status:"
	kubectl get pods -l app.kubernetes.io/name=llamastack -n rag-e2e
	echo "Pod logs:"
	kubectl logs -l app.kubernetes.io/name=llamastack -n rag-e2e --tail=100
	exit 1
	}

	echo ""
	echo "========================================="
	echo "Waiting for RAG UI deployment (5min timeout)..."
	echo "========================================="
	kubectl wait --for=condition=available --timeout=300s \
	deployment/rag -n rag-e2e \|\| {
	echo "❌ RAG UI deployment failed to become available"
	echo "Pod status:"
	kubectl get pods -l app.kubernetes.io/name=rag -n rag-e2e
	echo "Pod logs:"
	kubectl logs -l app.kubernetes.io/name=rag -n rag-e2e --tail=100
	exit 1
	}

	echo ""
	echo "========================================="
	echo "Waiting for pods to be ready..."
	echo "========================================="
	kubectl wait --for=condition=ready --timeout=600s \
	pod -l app.kubernetes.io/name=llamastack -n rag-e2e
	kubectl wait --for=condition=ready --timeout=300s \
	pod -l app.kubernetes.io/name=rag -n rag-e2e

	echo ""
	echo "========================================="
	echo "✅ ALL CORE SERVICES ARE READY!"
	echo "========================================="
	kubectl get pods -n rag-e2e -o wide

	- name: Expose services via NodePort
	run: \|
	# Expose RAG UI
	kubectl patch service rag -n rag-e2e -p '{"spec":{"type":"NodePort","ports":[{"port":8501,"nodePort":30080}]}}'

	# Expose Llama Stack
	kubectl patch service llamastack -n rag-e2e -p '{"spec":{"type":"NodePort","ports":[{"port":8321,"nodePort":30081}]}}'

	# Verify services
	kubectl get services -n rag-e2e

	- name: Port forward services
	run: \|
	# Start port forwarding in background
	kubectl port-forward -n rag-e2e svc/rag 8501:8501 &
	kubectl port-forward -n rag-e2e svc/llamastack 8321:8321 &

	# Wait for port forwarding to establish
	sleep 10

	- name: Run LlamaStack integration tests with MaaS inference
	env:
	LLAMA_STACK_ENDPOINT: http://localhost:8321
	RAG_UI_ENDPOINT: http://localhost:8501
	INFERENCE_MODEL: ${{ env.MAAS_MODEL_ID }}
	SKIP_MODEL_TESTS: "false" # Enable inference tests with MaaS
	run: \|
	echo "Starting LlamaStack integration tests with MaaS-enabled inference..."
	echo "Model: ${INFERENCE_MODEL}"
	echo "MaaS Endpoint: ${MAAS_ENDPOINT}"
	pytest tests/integration/llamastack/ -v --tb=short

	- name: Debug - Get pod logs on failure
	if: failure()
	run: \|
	echo "=== Deployment status ==="
	kubectl get deployments -n rag-e2e

	echo "=== Pod status ==="
	kubectl get pods -n rag-e2e -o wide

	echo "=== Service status ==="
	kubectl get services -n rag-e2e

	echo "=== Events ==="
	kubectl get events -n rag-e2e --sort-by='.lastTimestamp'

	echo "=== RAG UI logs ==="
	kubectl logs -l app.kubernetes.io/name=rag -n rag-e2e --tail=200 \|\| echo "No RAG UI logs available"

	echo "=== Llama Stack logs (CRITICAL - Check model registration) ==="
	kubectl logs -l app.kubernetes.io/name=llamastack -n rag-e2e --tail=300 \|\| echo "No Llama Stack logs available"

	echo "=== Llama Stack pod details ==="
	kubectl describe pod -l app.kubernetes.io/name=llamastack -n rag-e2e \|\| echo "No pod details"

	echo "=== PGVector logs ==="
	kubectl logs -l app.kubernetes.io/name=pgvector -n rag-e2e --tail=100 \|\| echo "No PGVector logs available"

	echo "=== MinIO logs ==="
	kubectl logs -l app.kubernetes.io/name=minio -n rag-e2e --tail=100 \|\| echo "No MinIO logs available"

	echo "=== Ingestion Pipeline logs (if enabled) ==="
	kubectl logs -l app.kubernetes.io/name=ingestion-pipeline -n rag-e2e --tail=100 \|\| echo "No ingestion pipeline logs"

	- name: Upload test results
	if: always()
	uses: actions/upload-artifact@v4
	with:
	name: llamastack-integration-test-results
	path: pytest-results/

	- name: Cleanup
	if: always()
	run: \|
	# Kill port-forward processes
	pkill -f "kubectl port-forward" \|\| true

	# Optional: Uncomment to delete cluster
	# kind delete cluster --name rag-e2e

	fork-pr-notice:
	name: Fork PR Notice
	runs-on: ubuntu-latest
	# Only run this job for fork PRs
	if: github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name != github.repository
	steps:
	- name: Notice about skipped tests
	run: \|
	echo "## ⚠️ Fork Pull Request Detected"
	echo ""
	echo "This pull request is from a fork. For security reasons, GitHub Actions does not"
	echo "provide access to repository secrets (like \`MAAS_API_KEY\`) for workflows triggered"
	echo "by pull requests from forks."
	echo ""
	echo "The following tests have been skipped:"
	echo "- LlamaStack Integration Tests (requires MAAS_API_KEY)"
	echo "- UI E2E Tests (requires MAAS_API_KEY)"
	echo ""
	echo "Tests that still run:"
	echo "- ✅ Unit Tests"
	echo "- ✅ Integration Tests (Streamlit App)"
	echo ""
	echo "The MaaS-dependent tests will run automatically when this PR is merged to \`main\`."
	echo ""
	echo "For more information, see:"
	echo "https://docs.github.com/en/actions/security-guides/using-secrets-in-github-actions"

	ui-e2e-tests:
	name: UI E2E Tests (Playwright)
	runs-on: ubuntu-latest
	timeout-minutes: 60
	needs: [unit-tests, integration-tests]
	# Skip this job for fork PRs since secrets are not available
	if: github.event_name == 'push' \|\| github.event_name == 'workflow_dispatch' \|\| (github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == github.repository)

	steps:
	- name: Checkout repository
	uses: actions/checkout@v4

	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: '3.11'

	- name: Install UI test dependencies
	run: \|
	pip install -r tests/e2e_ui/requirements.txt

	- name: Install Playwright browsers
	run: \|
	playwright install chromium

	- name: Create Kind cluster config file
	run: \|
	cat <<EOF > kind-config.yaml
	kind: Cluster
	apiVersion: kind.x-k8s.io/v1alpha4
	nodes:
	- role: control-plane
	extraPortMappings:
	- containerPort: 30080
	hostPort: 8501
	protocol: TCP
	- containerPort: 30081
	hostPort: 8321
	protocol: TCP
	EOF

	- name: Create Kind cluster
	uses: helm/kind-action@v1
	with:
	cluster_name: rag-e2e-ui
	config: kind-config.yaml

	- name: Install Required CRDs
	run: \|
	echo "Installing CRDs required by helm chart subcomponents..."

	# OpenShift Route CRD
	kubectl apply -f - <<EOF
	apiVersion: apiextensions.k8s.io/v1
	kind: CustomResourceDefinition
	metadata:
	name: routes.route.openshift.io
	spec:
	group: route.openshift.io
	names:
	kind: Route
	listKind: RouteList
	plural: routes
	singular: route
	scope: Namespaced
	versions:
	- name: v1
	served: true
	storage: true
	schema:
	openAPIV3Schema:
	type: object
	x-kubernetes-preserve-unknown-fields: true
	EOF

	kubectl wait --for condition=established --timeout=60s crd/routes.route.openshift.io
	echo "✅ All required CRDs installed successfully"

	- name: Add Helm repository
	run: \|
	helm repo add rag-charts https://rh-ai-quickstart.github.io/ai-architecture-charts
	helm repo update

	- name: Build Helm dependencies
	run: \|
	cd deploy/helm/rag
	helm dependency build

	- name: Install RAG application
	env:
	MAAS_API_KEY: ${{ secrets.MAAS_API_KEY }}
	run: \|
	kubectl create namespace rag-e2e-ui \|\| true

	helm install rag deploy/helm/rag \
	--namespace rag-e2e-ui \
	--values tests/e2e/values-e2e.yaml \
	--set global.models.${MAAS_MODEL_ID}.url="${MAAS_ENDPOINT}" \
	--set global.models.${MAAS_MODEL_ID}.id="${MAAS_MODEL_ID}" \
	--set global.models.${MAAS_MODEL_ID}.enabled=true \
	--set global.models.${MAAS_MODEL_ID}.apiToken="${MAAS_API_KEY}" \
	--set-json llama-stack.initContainers='[]' \
	--skip-crds \
	--timeout 20m \
	--debug

	- name: Wait for services to be ready
	run: \|
	kubectl wait --for=condition=available --timeout=600s \
	deployment/llamastack -n rag-e2e-ui
	kubectl wait --for=condition=available --timeout=300s \
	deployment/rag -n rag-e2e-ui

	echo "Waiting for pods to be ready..."
	kubectl wait --for=condition=ready --timeout=600s \
	pod -l app.kubernetes.io/name=llamastack -n rag-e2e-ui
	kubectl wait --for=condition=ready --timeout=300s \
	pod -l app.kubernetes.io/name=rag -n rag-e2e-ui

	echo "✅ All pods are ready"
	kubectl get pods -n rag-e2e-ui

	- name: Expose services via NodePort
	run: \|
	kubectl patch service rag -n rag-e2e-ui -p '{"spec":{"type":"NodePort","ports":[{"port":8501,"nodePort":30080}]}}'
	kubectl patch service llamastack -n rag-e2e-ui -p '{"spec":{"type":"NodePort","ports":[{"port":8321,"nodePort":30081}]}}'

	# Verify services
	kubectl get services -n rag-e2e-ui

	- name: Run UI E2E tests with Playwright
	env:
	RAG_UI_ENDPOINT: http://localhost:8501
	LLAMA_STACK_ENDPOINT: http://localhost:8321
	MAAS_ENDPOINT: ${{ env.MAAS_ENDPOINT }}
	MAAS_MODEL_ID: ${{ env.MAAS_MODEL_ID }}
	SKIP_MODEL_TESTS: "false" # Enable MaaS inference tests in UI
	run: \|
	echo "Starting port forwarding and running tests..."

	# Start port forwarding in background and keep them running
	echo "Starting port forwarding for RAG UI..."
	kubectl port-forward -n rag-e2e-ui svc/rag 8501:8501 > /tmp/rag-portforward.log 2>&1 &
	RAG_PF_PID=$!
	echo "RAG port-forward PID: $RAG_PF_PID"

	echo "Starting port forwarding for LlamaStack..."
	kubectl port-forward -n rag-e2e-ui svc/llamastack 8321:8321 > /tmp/llamastack-portforward.log 2>&1 &
	LLAMASTACK_PF_PID=$!
	echo "LlamaStack port-forward PID: $LLAMASTACK_PF_PID"

	# Function to check if port forwarding is working
	check_port_forwarding() {
	(timeout 2 bash -c 'cat < /dev/null > /dev/tcp/localhost/8501' 2>/dev/null) && \
	(timeout 2 bash -c 'cat < /dev/null > /dev/tcp/localhost/8321' 2>/dev/null)
	}

	# Function to verify processes are alive
	check_processes() {
	kill -0 $RAG_PF_PID 2>/dev/null && kill -0 $LLAMASTACK_PF_PID 2>/dev/null
	}

	# Wait for port forwarding to establish
	echo "Waiting for port forwarding to be ready..."
	for i in {1..30}; do
	if check_port_forwarding && check_processes; then
	echo "✅ Port forwarding is working! (attempt $i)"
	break
	fi
	if [ $i -eq 30 ]; then
	echo "❌ Port forwarding failed to establish after 30 attempts"
	echo "RAG port-forward log:"
	cat /tmp/rag-portforward.log \|\| true
	echo "LlamaStack port-forward log:"
	cat /tmp/llamastack-portforward.log \|\| true
	echo "Checking port-forward processes:"
	ps aux \| grep "kubectl port-forward" \|\| true
	echo "Checking if ports are listening:"
	ss -tlnp \| grep -E ':(8501\|8321)' \|\| netstat -tlnp 2>/dev/null \| grep -E ':(8501\|8321)' \|\| true
	exit 1
	fi
	echo "Waiting for port forwarding... (attempt $i/30)"
	sleep 2
	done

	# Set up cleanup trap to kill port forwarding on exit
	trap "echo 'Cleaning up port forwarding...'; kill $RAG_PF_PID $LLAMASTACK_PF_PID 2>/dev/null \|\| true" EXIT

	echo "Running UI E2E tests with MaaS integration..."
	echo "MaaS Endpoint: ${MAAS_ENDPOINT}"
	echo "MaaS Model ID: ${MAAS_MODEL_ID}"

	# Run tests
	pytest tests/e2e_ui/ -v --tb=short --browser chromium \|\| TEST_EXIT_CODE=$?

	# Verify port forwarding was still working after tests
	if ! check_port_forwarding; then
	echo "⚠️ Warning: Port forwarding stopped working during tests"
	echo "RAG port-forward log:"
	cat /tmp/rag-portforward.log \|\| true
	echo "LlamaStack port-forward log:"
	cat /tmp/llamastack-portforward.log \|\| true
	fi

	# Exit with test result
	exit ${TEST_EXIT_CODE:-0}

	- name: Upload Playwright test results
	if: always()
	uses: actions/upload-artifact@v4
	with:
	name: playwright-test-results
	path: \|
	test-results/
	playwright-report/

	- name: Upload Playwright screenshots
	if: failure()
	uses: actions/upload-artifact@v4
	with:
	name: playwright-screenshots
	path: test-results/

	- name: Debug - Get pod logs on failure
	if: failure()
	run: \|
	echo "=== RAG UI logs ==="
	kubectl logs -l app.kubernetes.io/name=rag -n rag-e2e-ui --tail=200 \|\| echo "No RAG UI logs"

	echo "=== Llama Stack logs ==="
	kubectl logs -l app.kubernetes.io/name=llamastack -n rag-e2e-ui --tail=300 \|\| echo "No Llama Stack logs"

	- name: Cleanup UI tests
	if: always()
	run: \|
	pkill -f "kubectl port-forward" \|\| true
	# kind delete cluster --name rag-e2e-ui

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E2E Tests #8

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E2E Tests #8

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