Merge pull request #23 from stanfordnmbl/dev #12
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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, on every push | |
| # to the master 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 `ECR_REPOSITORY` in the workflow below with your repository's name. | |
| # Replace the value of `aws-region` 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 values for `service` and `cluster` in the workflow below with your service and cluster names. | |
| # | |
| # 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 `task-definition` in the workflow below with your JSON file's name. | |
| # Replace the value of `container-name` 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. | |
| on: | |
| push: | |
| branches: | |
| - main | |
| paths: | |
| - 'gait_analysis/**' | |
| workflow_dispatch: | |
| name: PROD Analysis "gait analysis" build & deployment | |
| jobs: | |
| deploy: | |
| name: Deploy | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v1 | |
| - 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: us-west-2 | |
| - 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: | |
| IMAGE_TAG: latest # ${{ github.sha }} | |
| run: | | |
| # Build a docker container and | |
| # push it to ECR so that it can | |
| # be deployed to ECS. | |
| cd gait_analysis | |
| docker build -f Dockerfile -t 660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/gait_analysis:$IMAGE_TAG . | |
| docker push 660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/gait_analysis:$IMAGE_TAG | |
| echo "::set-output name=image::660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/gait_analysis:$IMAGE_TAG" | |
| - name: Force deployment | |
| env: | |
| IMAGE_TAG: latest # ${{ github.sha }} | |
| run: | | |
| aws lambda update-function-code --function-name gait-analysis --image-uri 660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/gait_analysis:$IMAGE_TAG | jq 'if .Environment.Variables.API_TOKEN? then .Environment.Variables.API_TOKEN = "REDACTED" else . end' |