#!/bin/bash

ROOT=$(cd $(dirname "${BASH_SOURCE[0]}") && pwd)
source "$ROOT/lib.sh"

workflow="deploy-new-region-cluster-autoscaler.yaml"
argocd_repo=tidbcloud/app-delivery

# get input
remote_config=${CONFIG_PATH}
local_config=/tmp/base-config.yaml

bucket_name=${remote_config#s3://}
bucket_name=${bucket_name%%/*}
output_bucket_region=$(aws s3api get-bucket-location --bucket=$bucket_name --query="LocationConstraint" \
  --region=us-west-2 --output=text --no-cli-pager)
aws s3 cp "${remote_config}" "${local_config}" --region=$output_bucket_region

region=$(yq '.region' "${local_config}")
logicalRegionName=$(yq '.name' "${local_config}")
env=$(yq '.env' "${local_config}")
cloud=$(yq '.cloudProvider' "${local_config}")
cluster=$(yq '.k8s.name' "${local_config}")
jobId=$(yq '.jobId' "${local_config}")
output=$(yq '.outputPath' "${local_config}")

# get role
reoute_iam_output=$(yq -e '.jobOutput.iam' $local_config)
local_iam_output=/tmp/iam-output.yaml
aws s3 cp $reoute_iam_output $local_iam_output --region=$output_bucket_region
cluster_autoscaler_role_arn=$(yq -e '.clusterAutoscaler.roleArn' $local_iam_output)

common_params="-f env=${env} -f region=${region} -f cluster=${cluster} -f jobId=${jobId} -f logicalRegionName=${logicalRegionName}"
gh workflow -R $argocd_repo run $workflow -f role-arn=${cluster_autoscaler_role_arn} $common_params

# wait services come ready
declare -A services
services["deploy/cluster-autoscaler"]="false"
namespace=kube-system
wait_for_services_ready services namespace
if [[ $? -eq 1 ]]; then
    echo "Services are not ready"
    exit 1
fi