directory 구조 변경
This commit is contained in:
havelight-ee
41
scripts/kops_env/kops_env.sh
Executable file
41
scripts/kops_env/kops_env.sh
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#!/bin/bash
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export KOPS_STATE_STORE=s3://clusters.spot.datasaker.io
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export KOPS_CLUSTER_NAME=k8s-spot.datasaker.io
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export VPC_ID="vpc-00ba2b0e9ad59f0ed "
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export Network_CIDR="172.24.0.0/19"
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export AMI_Image="ami-0abb33b73a78cae31"
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export Private_Subnet_ID_1="subnet-024f0deda82039fa4"
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export Private_Subnet_ID_2="subnet-050d942fa1c46540a"
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export Private_Subnet_ID_3="subnet-0946eb806af7377be"
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export Public_Subnet_ID_1="subnet-00c363356f133411d"
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export Public_Subnet_ID_2="subnet-07aa5e879a262014d"
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export Public_Subnet_ID_3="subnet-0073a61bc56a68a3e"
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kops_cmd="""
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kops create cluster \
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--vpc "$VPC_ID" \
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--cloud aws \
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--ssh-public-key "$HOME/.ssh/id_rsa.pub" \
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--topology private --kubernetes-version "1.25.2" \
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--network-cidr "$Network_CIDR" \
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--networking calico \
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--container-runtime containerd \
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--image $AMI_Image \
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--zones ap-northeast-2a,ap-northeast-2b,ap-northeast-2c \
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--master-count 3 \
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--master-size t3.small \
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--node-count 3 \
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--node-size t3.small \
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--node-volume-size 100 \
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--subnets "$Private_Subnet_ID_1,$Private_Subnet_ID_2,$Private_Subnet_ID_3" \
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--utility-subnets "$Public_Subnet_ID_1,$Public_Subnet_ID_2,$Public_Subnet_ID_3" \
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-v 10
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"""
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kubeconfig="kops export kubecfg --admin --kubeconfig $HOME/.kube/config --name=${KOPS_CLUSTER_NAME} --state=${KOPS_STATE_STORE}"
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echo ${kubeconfig}
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echo
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echo
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echo ${kops_cmd}
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102
scripts/spot_lambda/lambda_restart.sh
Executable file
102
scripts/spot_lambda/lambda_restart.sh
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if [ -z "$BASH_VERSION" ]; then exec bash "$0" "$@"; exit; fi
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#----------------------------------------------------------------------------------------------------------------
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# 변수 선언
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echo_line="=========================================================================="
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search_tag="spot"
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stop_function="spot_stop"
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start_function="spot_start"
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#----------------------------------------------------------------------------------------------------------------
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# aws 인스턴스 조회
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_get_aws_status (){
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aws_query="Reservations[].Instances[].[ InstanceId, Tags[?Key=='Name'].Value|[0] ]"
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aws_filter="Name=instance-state-name,Values=running"
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current_ec2_num=`aws ec2 describe-instances --query "${aws_query}" --filter ${aws_filter} --output text | grep ${search_tag} | wc -l`
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}
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#----------------------------------------------------------------------------------------------------------------
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# log 출력
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_get_time_log (){
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datetime=`date +'%Y-%m-%d %H:%M:%S'`
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string=$1
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echo "[${datetime}] ${string}"
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}
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#----------------------------------------------------------------------------------------------------------------
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# aws lambda 실행 후 인스턴스 조회하여 성공/실패 여부 체크
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_main (){
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lambda_function=$1
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echo ${echo_line}
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if [[ ${lambda_fuction} == *"stop"* ]]; then
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what_func='stop'
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else
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what_func='start'
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fi
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_get_time_log "[INFO] aws lambda ${lambda_function} start"
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aws lambda invoke --function-name ${lambda_function} --cli-binary-format raw-in-base64-out --payload '{ "key": "value" }' response.json > /tmp/aws_func_result
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#echo "aws lambda invoke --function-name ${lambda_function} --cli-binary-format raw-in-base64-out --payload '{ "key": "value" }' response.json"
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succ_flag=0
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while read line
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do
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if [[ $line == *"200"* ]]; then
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succ_flag=1
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_get_time_log "[INFO] aws lambda ${lambda_function} success!"
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break
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else
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succ_flag=0
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fi
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done < /tmp/aws_func_result
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if [[ ${succ_flag} == 1 ]]; then
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aws lambda invoke --function-name ${lambda_function} out --log-type Tail --query 'LogResult' --output text | base64 -d > /tmp/aws_func_output
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if [[ ${what_func} == 'stop' ]]; then
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final_ec2_num=0
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else
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final_ec2_num=`grep "Starting" /tmp/aws_func_output | wc -l`
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fi
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num=0
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while true
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do
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_get_aws_status
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num=`echo $(( $num + 1 ))`
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if [[ ${current_ec2_num} == ${final_ec2_num} ]]; then
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_get_time_log "[INFO] aws ${search_tag} instance number: ${final_ec2_num} check success!"
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break
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elif [[ ${num} == 30 ]]; then
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_get_time_log "[Error] time out!"
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break
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else
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_get_time_log "[Retry: ${num}] aws ${search_tag} instance number: ${final_ec2_num} checking..."
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fi
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sleep 5
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done
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else
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echo ${echo_line}
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_get_time_log "[Error] aws lambda ${lambda_function} failed!"
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exit
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fi
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echo ${echo_line}
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#---------------
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}
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#----------------------------------------------------------------------------------------------------------------
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# 실행
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_main ${stop_function}
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_main ${start_function}
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#----------------------------------------------------------------------------------------------------------------
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# 임시 파일 삭제
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unlink out
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unlink response.json
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unlink /tmp/aws_func_output
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unlink /tmp/aws_func_result
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#----------------------------------------------------------------------------------------------------------------
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100
scripts/spot_lambda/lambda_stop.sh
Executable file
100
scripts/spot_lambda/lambda_stop.sh
Executable file
@@ -0,0 +1,100 @@
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if [ -z "$BASH_VERSION" ]; then exec bash "$0" "$@"; exit; fi
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#----------------------------------------------------------------------------------------------------------------
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# 변수 선언
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echo_line="=========================================================================="
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search_tag="spot"
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stop_function="spot_stop"
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start_function="spot_start"
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#----------------------------------------------------------------------------------------------------------------
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# aws 인스턴스 조회
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_get_aws_status (){
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aws_query="Reservations[].Instances[].[ InstanceId, Tags[?Key=='Name'].Value|[0] ]"
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aws_filter="Name=instance-state-name,Values=running"
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current_ec2_num=`aws ec2 describe-instances --query "${aws_query}" --filter ${aws_filter} --output text | grep ${search_tag} | wc -l`
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}
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#----------------------------------------------------------------------------------------------------------------
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# log 출력
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_get_time_log (){
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datetime=`date +'%Y-%m-%d %H:%M:%S'`
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string=$1
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echo "[${datetime}] ${string}"
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}
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#----------------------------------------------------------------------------------------------------------------
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# aws lambda 실행 후 인스턴스 조회하여 성공/실패 여부 체크
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_main (){
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lambda_function=$1
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echo ${echo_line}
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if [[ ${lambda_fuction} == *"stop"* ]]; then
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what_func='stop'
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else
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what_func='start'
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fi
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_get_time_log "[INFO] aws lambda ${lambda_function} start"
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aws lambda invoke --function-name ${lambda_function} --cli-binary-format raw-in-base64-out --payload '{ "key": "value" }' response.json > /tmp/aws_func_result
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#echo "aws lambda invoke --function-name ${lambda_function} --cli-binary-format raw-in-base64-out --payload '{ "key": "value" }' response.json"
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succ_flag=0
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while read line
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do
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if [[ $line == *"200"* ]]; then
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succ_flag=1
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_get_time_log "[INFO] aws lambda ${lambda_function} success!"
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break
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else
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succ_flag=0
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fi
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done < /tmp/aws_func_result
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if [[ ${succ_flag} == 1 ]]; then
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aws lambda invoke --function-name ${lambda_function} out --log-type Tail --query 'LogResult' --output text | base64 -d > /tmp/aws_func_output
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if [[ ${what_func} == 'stop' ]]; then
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final_ec2_num=0
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else
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final_ec2_num=`grep "Starting" /tmp/aws_func_output | wc -l`
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fi
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num=0
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while true
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do
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_get_aws_status
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num=`echo $(( $num + 1 ))`
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if [[ ${current_ec2_num} == ${final_ec2_num} ]]; then
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_get_time_log "[INFO] aws ${search_tag} instance number: ${final_ec2_num} check success!"
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break
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elif [[ ${num} == 30 ]]; then
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_get_time_log "[Error] time out!"
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break
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else
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_get_time_log "[Retry: ${num}] aws ${search_tag} instance number: ${final_ec2_num} checking..."
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fi
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sleep 5
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done
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else
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echo ${echo_line}
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_get_time_log "[Error] aws lambda ${lambda_function} failed!"
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exit
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fi
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echo ${echo_line}
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#---------------
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}
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#----------------------------------------------------------------------------------------------------------------
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# 실행
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_main ${stop_function}
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#----------------------------------------------------------------------------------------------------------------
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# 임시 파일 삭제
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unlink out
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unlink response.json
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unlink /tmp/aws_func_output
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unlink /tmp/aws_func_result
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#----------------------------------------------------------------------------------------------------------------
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