Staffjoy Elastic Beanstalk Deploy Script

deploy-to-stage.sh

#!/bin/bash
set -e

docker pull ubuntu:14.04
file="Dockerrun.aws.json"
tag="master-${BUILD_NUMBER}"
repo="staffjoy/app"
s3Bucket="staffjoy-deploy"
s3Path="app/$tag/"
s3Key="$s3Path$file"

# Add version
sed -i "s/TAG/$tag/" $file

docker build -t $repo:$tag .

# Run tests (but not all becuase we don't have db and redis going yet)
# docker run -t $repo:$tag /bin/bash -c 'cd /src/ && make fmt-test && make py-lint'

docker push $repo:$tag

# Add the Dockerrun to S3 so that beanstalk can access it
aws s3 cp $file s3://$s3Bucket/$s3Path

# Create version
aws elasticbeanstalk create-application-version \
    --application-name staffjoy-app \
    --version-label "$tag" \
    --source-bundle "{\"S3Bucket\":\"$s3Bucket\",\"S3Key\":\"$s3Key\"}" 

# Note: AWS limits the number of application versions. if you hit an error here, we just manually clean up. 
# Ideally, you would maybe delete old versions.

# Database migration
sudo pip install -r requirements.txt
export SQLALCHEMY_DATABASE_URI="$STAGE_DATABASE"
python main.py db current
echo "Beginning database migration . . . "
make db-deploy

# Deploy to stage
aws elasticbeanstalk update-environment \
    --environment-name "staffjoy-app-stage" \
    --version-label "$tag"

# Polling to see whether deploy is done
deploystart=$(date +%s)
timeout=3000 # Seconds to wait before error
threshhold=$((deploystart + timeout))
while true; do
    # Check for timeout
    timenow=$(date +%s)
    if [[ "$timenow" > "$threshhold" ]]; then
        echo "Timeout - $timeout seconds elapsed"
        exit 1
    fi

    # See what's deployed
    version=`aws elasticbeanstalk describe-environments --application-name "staffjoy-app" --environment-name "staffjoy-app-stage" --query "Environments[*].VersionLabel" --output text`
    status=`aws elasticbeanstalk describe-environments --application-name "staffjoy-app" --environment-name "staffjoy-app-stage" --query "Environments[*].Status" --output text`

    if [ "$version" != "$tag" ]; then
        echo "Tag not updated (currently $version). Waiting."
        sleep 10
        continue
    fi
    if [ "$status" != "Ready" ]; then
        echo "System not Ready -it's $status. Waiting."
        sleep 10
        continue
    fi
    break
done

Dockerrun.aws.json

{
AWSEBDockerrunVersion: "1",
Authentication: {
Bucket: "staffjoy-deploy",
Key: "docker.cfg"
},
Image: {
Name: "staffjoy/app:TAG",
Update: "true"
},
Ports: [
{
ContainerPort: "80"
}
],
Volumes: [
{
HostDirectory: "/var/app/mydb",
ContainerDirectory: "/etc/mysql"
}
],
Logging: "/var/log/nginx"
}