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reusable_deploy_v3_sar.yml
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name: Deploy V3 SAR
# PROCESS
#
# 1. This workflow starts after the layer artifact is produced on `publish_v3_layer`
# 2. We use the same layer artifact to ensure the SAR app is consistent with the published Lambda Layer
# 3. We publish the SAR for 3.8 to 3.12 Python runtime and both x86_64 and arm64 (see `matrix` section)
# 4. We use `sam package` and `sam publish` to publish the SAR app
# 5. We remove the previous Canary stack (if present) and deploy a new one to test the SAR App. We retain the Canary in the account for debugging purposes
# 6. Finally the published SAR app is made public on the PROD environment
# USAGE
#
# NOTE: meant to be used with ./.github/workflows/publish_v3_layer.yml
#
# sar-beta:
# needs: build-layer
# permissions:
# # lower privilege propagated from parent workflow (release.yml)
# id-token: write
# contents: read
# pull-requests: none
# pages: none
# uses: ./.github/workflows/reusable_deploy_v3_sar.yml
# secrets: inherit
# with:
# stage: "BETA"
# environment: "layer-beta"
# package-version: ${{ inputs.latest_published_version }}
# source_code_artifact_name: ${{ inputs.source_code_artifact_name }}
# source_code_integrity_hash: ${{ inputs.source_code_integrity_hash }}
permissions:
id-token: write
contents: read
env:
NODE_VERSION: 18.20.4
AWS_REGION: eu-west-1
SAR_NAME: aws-lambda-powertools-python-layer-v3
TEST_STACK_NAME: serverlessrepo-v3-powertools-layer-test-stack
RELEASE_COMMIT: ${{ github.sha }} # it gets propagated from the caller for security reasons
on:
workflow_call:
inputs:
stage:
description: "Deployment stage (BETA, PROD)"
required: true
type: string
package-version:
description: "The version of the package to deploy"
required: true
type: string
environment:
description: "GitHub Environment to use for encrypted secrets"
required: true
type: string
source_code_artifact_name:
description: "Artifact name to restore sealed source code"
type: string
required: true
source_code_integrity_hash:
description: "Sealed source code integrity hash"
type: string
required: true
jobs:
deploy-sar-app:
runs-on: ubuntu-latest
environment: ${{ inputs.environment }}
strategy:
matrix:
architecture: ["x86_64", "arm64"]
python-version: ["3.8","3.9","3.10","3.11","3.12"]
steps:
- name: checkout
uses: actions/checkout@d632683dd7b4114ad314bca15554477dd762a938 # v4.2.0
with:
ref: ${{ env.RELEASE_COMMIT }}
- name: Restore sealed source code
uses: ./.github/actions/seal-restore
with:
integrity_hash: ${{ inputs.source_code_integrity_hash }}
artifact_name: ${{ inputs.source_code_artifact_name }}
- name: AWS credentials
uses: aws-actions/configure-aws-credentials@5fd3084fc36e372ff1fff382a39b10d03659f355 # v2.2.0
with:
aws-region: ${{ env.AWS_REGION }}
role-to-assume: ${{ secrets.AWS_LAYERS_ROLE_ARN }}
# NOTE
# We connect to Layers account to log our intent to publish a SAR Layer
# we then jump to our specific SAR Account with the correctly scoped IAM Role
# this allows us to have a single trail when a release occurs for a given layer (beta+prod+SAR beta+SAR prod)
- name: AWS credentials SAR role
uses: aws-actions/configure-aws-credentials@5fd3084fc36e372ff1fff382a39b10d03659f355 # v2.2.0
id: aws-credentials-sar-role
with:
aws-access-key-id: ${{ env.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ env.AWS_SECRET_ACCESS_KEY }}
aws-session-token: ${{ env.AWS_SESSION_TOKEN }}
role-duration-seconds: 1200
aws-region: ${{ env.AWS_REGION }}
role-to-assume: ${{ secrets.AWS_SAR_V2_ROLE_ARN }}
- name: Setup Node.js
uses: actions/setup-node@0a44ba7841725637a19e28fa30b79a866c81b0a6 # v4.0.4
with:
node-version: ${{ env.NODE_VERSION }}
- name: Download artifact
uses: actions/download-artifact@fa0a91b85d4f404e444e00e005971372dc801d16 # v4.1.8
with:
name: cdk-layer-artifact-py${{ matrix.python-version }}
- name: Unzip artefact
run: unzip cdk.py${{ matrix.python-version }}.out.zip
- name: normalize Python Version
run: |
PYTHON_VERSION=$(echo ${{ matrix.python-version }} | tr -d '.')
echo "PYTHON_VERSION=${PYTHON_VERSION}" >> "$GITHUB_ENV"
- name: Configure SAR name
run: |
if [[ "${{ inputs.stage }}" == "BETA" ]]; then
SAR_NAME="test-${SAR_NAME}"
fi
ARCH_NAME=$(echo ${{ matrix.architecture }} | tr -d '_')
SAR_NAME="${SAR_NAME}-python${{env.PYTHON_VERSION}}-${ARCH_NAME}"
echo SAR_NAME="${SAR_NAME}" >> "$GITHUB_ENV"
- name: Normalize semantic version
id: semantic-version # v2.0.0a0 -> v2.0.0-a0
env:
VERSION: ${{ inputs.package-version }}
run: |
# VERSION="${VERSION/a/-a}"
VERSION="3.0.0"
echo "VERSION=${VERSION}" >> "$GITHUB_OUTPUT"
- name: Prepare SAR App
env:
VERSION: ${{ steps.semantic-version.outputs.VERSION }}
run: |
# From the generated LayerStack cdk.out artifact, find the layer asset path for the correct architecture.
# We'll use this as the source directory of our SAR. This way we are re-using the same layer asset for our SAR.
PYTHON_VERSION=$(echo ${{ matrix.python-version }} | tr -d '.')
asset=$(jq -jc '.Resources[] | select(.Properties.CompatibleArchitectures == ["${{ matrix.architecture }}"]) | .Metadata."aws:asset:path"' "cdk.out/LayerV3Stack-python${PYTHON_VERSION}.template.json")
# fill in the SAR SAM template
sed \
-e "s|<VERSION>|${VERSION}|g" \
-e "s/<SAR_APP_NAME>/${{ env.SAR_NAME }}/g" \
-e "s|<LAYER_CONTENT_PATH>|./cdk.out/$asset|g" \
-e "s|<PYTHON_RUNTIME>|${{ matrix.python-version }}|g" \
-e "s|<ARCHITECTURE>|${{ matrix.architecture }}|g" \
layer/sar/template.txt > template.yml
# SAR needs a README and a LICENSE, so just copy the ones from the repo
cp README.md LICENSE "./cdk.out/$asset/"
- name: Deploy SAR
run: |
# Debug purposes
cat template.yml
# Package the SAR to our SAR S3 bucket, and publish it
sam package --template-file template.yml --output-template-file packaged.yml --s3-bucket ${{ secrets.AWS_SAR_S3_BUCKET_V3 }}
sam publish --template packaged.yml --region "$AWS_REGION"
- name: Deploy BETA canary
if: ${{ inputs.stage == 'BETA' }}
run: |
ARCH_NAME=$(echo ${{ matrix.architecture }} | tr -d '_')
TEST_STACK_NAME="${TEST_STACK_NAME}-python${{env.PYTHON_VERSION}}-${ARCH_NAME}"
echo "Check if stack does not exist"
stack_exists=$(aws cloudformation list-stacks --query "StackSummaries[?(StackName == '$TEST_STACK_NAME' && StackStatus == 'CREATE_COMPLETE')].{StackId:StackId, StackName:StackName, CreationTime:CreationTime, StackStatus:StackStatus}" --output text)
if [[ -n "$stack_exists" ]] ; then
echo "Found test deployment stack, removing..."
aws cloudformation delete-stack --stack-name "$TEST_STACK_NAME"
aws cloudformation wait stack-delete-complete --stack-name "$TEST_STACK_NAME"
fi
echo "Creating canary stack"
echo "Stack name: $TEST_STACK_NAME"
aws serverlessrepo create-cloud-formation-change-set \
--application-id arn:aws:serverlessrepo:${{ env.AWS_REGION }}:${{ steps.aws-credentials-sar-role.outputs.aws-account-id }}:applications/${{ env.SAR_NAME }} \
--stack-name "${TEST_STACK_NAME/serverlessrepo-/}" \
--capabilities CAPABILITY_NAMED_IAM
CHANGE_SET_ID=$(aws cloudformation list-change-sets --stack-name "$TEST_STACK_NAME" --query 'Summaries[*].ChangeSetId' --output text)
aws cloudformation wait change-set-create-complete --change-set-name "$CHANGE_SET_ID"
aws cloudformation execute-change-set --change-set-name "$CHANGE_SET_ID"
aws cloudformation wait stack-create-complete --stack-name "$TEST_STACK_NAME"
echo "Waiting until stack deployment completes..."
echo "Exit with error if stack is not in CREATE_COMPLETE"
stack_exists=$(aws cloudformation list-stacks --query "StackSummaries[?(StackName == '$TEST_STACK_NAME' && StackStatus == 'CREATE_COMPLETE')].{StackId:StackId, StackName:StackName, CreationTime:CreationTime, StackStatus:StackStatus}")
if [[ -z "$stack_exists" ]] ; then
echo "Could find successful deployment, exit error..."
exit 1
fi
echo "Deployment successful"
- name: Publish SAR
if: ${{ inputs.stage == 'PROD' }}
run: |
# wait until SAR registers the app, otherwise it fails to make it public
sleep 15
echo "Make SAR app public"
aws serverlessrepo put-application-policy \
--application-id arn:aws:serverlessrepo:${{ env.AWS_REGION }}:${{ steps.aws-credentials-sar-role.outputs.aws-account-id }}:applications/${{ env.SAR_NAME }} \
--statements Principals='*',Actions=Deploy