Merge pull request #9 from nmolivo/develop #14
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| # This workflow will build and push a new container image to Amazon ECR, | |
| # and then will deploy a new task definition to Amazon ECS, when there is a push to the "main" branch. | |
| # | |
| # To use this workflow, you will need to complete the following set-up steps: | |
| # | |
| # 1. Create an ECR repository to store your images. | |
| # For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`. | |
| # Replace the value of the `ECR_REPOSITORY` environment variable in the workflow below with your repository's name. | |
| # Replace the value of the `AWS_REGION` environment variable in the workflow below with your repository's region. | |
| # | |
| # 2. Create an ECS task definition, an ECS cluster, and an ECS service. | |
| # For example, follow the Getting Started guide on the ECS console: | |
| # https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun | |
| # Replace the value of the `ECS_SERVICE` environment variable in the workflow below with the name you set for the Amazon ECS service. | |
| # Replace the value of the `ECS_CLUSTER` environment variable in the workflow below with the name you set for the cluster. | |
| # | |
| # 3. Store your ECS task definition as a JSON file in your repository. | |
| # The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`. | |
| # Replace the value of the `ECS_TASK_DEFINITION` environment variable in the workflow below with the path to the JSON file. | |
| # Replace the value of the `CONTAINER_NAME` environment variable in the workflow below with the name of the container | |
| # in the `containerDefinitions` section of the task definition. | |
| # | |
| # 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`. | |
| # See the documentation for each action used below for the recommended IAM policies for this IAM user, | |
| # and best practices on handling the access key credentials. | |
| name: Deploy to Amazon ECS | |
| on: | |
| push: | |
| branches: | |
| - main | |
| env: | |
| AWS_REGION: us-east-1 # set this to your preferred AWS region, e.g. us-west-1 | |
| ECR_REPOSITORY: case-scrape # set this to your Amazon ECR repository name | |
| LAMBDA_FXN_NAME: criminal_case_scrape | |
| permissions: | |
| contents: read | |
| jobs: | |
| deploy: | |
| name: Deploy | |
| runs-on: ubuntu-latest | |
| environment: production | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v3 | |
| - name: Configure AWS credentials | |
| uses: aws-actions/configure-aws-credentials@v1 | |
| with: | |
| aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ${{ env.AWS_REGION }} | |
| - name: Login to Amazon ECR | |
| id: login-ecr | |
| uses: aws-actions/amazon-ecr-login@v1 | |
| - name: Build, tag, and push image to Amazon ECR | |
| id: build-image | |
| env: | |
| ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }} | |
| ECR_REPOSITORY: ${{ env.ECR_REPOSITORY}} | |
| IMAGE_TAG: ${{ github.sha }} | |
| run: | | |
| # Build a docker container and | |
| # push it to ECR so that it can | |
| # be deployed to ECS. | |
| docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG . | |
| docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG | |
| echo "image=$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" >> $GITHUB_OUTPUT | |
| - name: Update AWS lambda function function | |
| id: update-lambda-function | |
| env: | |
| IMAGE_URI: ${{ steps.build-image.outputs.image }} | |
| LAMBDA_FXN_NAME: ${{ env.LAMBDA_FXN_NAME }} | |
| run: | | |
| aws lambda update-function-code --function-name $LAMBDA_FXN_NAME --image-uri $IMAGE_URI |