Merge pull request #24 from stanfordnmbl/dev

Dev

.github/workflows/squat_analysis-dev.yml

@@ -0,0 +1,74 @@
+# 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:
+      - dev
+    paths:
+      - 'squat_analysis/**'
+  workflow_dispatch:
+
+name: DEV Analysis "squat 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 # ${{ github.sha }}
+      run: |
+        # Build a docker container and
+        # push it to ECR so that it can
+        # be deployed to ECS.
+        cd squat_analysis
+        docker build -f Dockerfile -t 660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/squat_analysis-dev:$IMAGE_TAG .
+        docker push 660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/squat_analysis-dev:$IMAGE_TAG
+        echo "::set-output name=image::660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/squat_analysis-dev:$IMAGE_TAG"
+
+    - name: Force deployment
+      env:
+        IMAGE_TAG: latest # ${{ github.sha }}
+      run: |
+        aws lambda update-function-code --function-name squat-analysis-dev --image-uri 660440363484.dkr.ecr.us-west-2.amazonaws.com/opencap-analysis/squat_analysis-dev:$IMAGE_TAG | jq 'if .Environment.Variables.API_TOKEN? then .Environment.Variables.API_TOKEN = "REDACTED" else . end'

squat_analysis/function/handler.py

@@ -44,11 +44,9 @@ def handler(event, context):
 
     # %% User inputs.
     # Specify session id; see end of url in app.opencap.ai/session/<session_id>.
-    # session_id = "8e430ad2-989c-4354-a6f1-7eb21fa0a16e"
     session_id = kwargs['session_id']
 
     # Specify trial names in a list; use None to process all trials in a session.
-    # specific_trial_names = ['walk']
     specific_trial_names = kwargs['specific_trial_names']
 
     # Specify where to download the data.