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Staffjoy Elastic Beanstalk Deploy Script
#!/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
{
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"
}
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