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load_balancer.py
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load_balancer.py
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import os
import re
import subprocess
from datetime import datetime, timedelta
import json
import sys
import re
import time
tags = ["instance-pod"]
threshold_cpu_usage = 20
executable_shell_script = ".././execute_flow_single.sh"
instance_dict = {"name":[],"instance_id":[],"publicip":[], "privateip":[]}
def create_instance(instance_type):
instance_id = ''
public_ip = ''
private_ip = ''
date = datetime.now().strftime("%Y-%m-%d-%I%M%S%p")
name = "instance-pod{}".format(date)
security_groups = ["${aws_security_group.terraformsg.name}"]
key_name = "terraform_keypair"
type = '{' + ' \n ami = "ami-0fb653ca2d3203ac1" \n instance_type = "{}"'.format(instance_type) +' \n security_groups = ["${aws_security_group.terraformsg.name}"]' + '\n key_name = "terraform_keypair"'
tags1 = '\n tags = {\n '
tags2 = 'Name = "{}" '.format(name)
tags3 = '\n }\n }'
resource_block = '\n resource "aws_instance" "{}" {} {} {} {}'.format(name,type,tags1,tags2,tags3)
with open('terraform.tf','a') as f:
f.write(resource_block)
f.close()
command1 ='terraform apply -auto-approve -lock="false"'
subprocess.run([command1], shell = True)
#make the instance_dict
f = open("terraform.tfstate", "r")
data = json.load(f)
for i in range(len(data['resources'])):
name_i = data['resources'][i]['name']
if name_i == name:
instance_id = data['resources'][i]['instances'][0]['attributes']['id']
public_ip = data['resources'][i]['instances'][0]['attributes']['public_ip']
private_ip = data['resources'][i]['instances'][0]['attributes']['private_ip']
instance_dict["name"].append(name)
instance_dict["instance_id"].append(instance_id)
instance_dict["publicip"].append(public_ip)
instance_dict["privateip"].append(private_ip)
#write intance_dict to instance_details.json
with open('instance_details.json','r+') as file:
file_data = json.load(file)
file_data["instance_details"].append(instance_dict)
file.seek(0)
json.dump(file_data, file, indent = 4)
file.close()
return instance_id
def terminate_instance(instance_id):
name = ''
flag = False
f = open('instance_details.json', 'r')
data = json.load(f)
for i in range(0,len(data['instance_details'])):
id = data['instance_details'][i]['instance_id'][0]
if id == instance_id:
name = data['instance_details'][i]['name'][0]
del (data['instance_details'][i])
break
with open('instance_details.json', 'w') as f:
f.seek(0)
json.dump(data, f, indent = 4)
f.close()
f = open('terraform.tf', 'r')
string = f.read()
f.close()
#split the file using the line 'resource "aws_instance" "{}"'
tmp = string.split('resource "aws_instance" "{}"'.format(name))
string1 = tmp[0]
#we split the next by a closed curly bracket
tmp2 = tmp[1].split('{',1)
tmp3 = tmp2[1].split('}',1)
tmp4 = tmp3[1].split('}',1)
tmp5 = tmp4[1].split('}',1)
#print(string1)
#print(tmp5[1])
file = string1 + tmp5[1]
with open('terraform.tf','w') as f:
f.write(file)
f.close()
command2 = 'terraform apply -auto-approve -lock="false"'
subprocess.run([command2], shell = True)
#Check for success status
subprocess.run(["terraform state list >> state_list.txt"], shell =True)
f = open("state_list.txt", "r")
if not name in f:
#print("successfully deleted: {}".format(resource_type_name))
flag = True
else:
print("Not deleted")
os.remove("state_list.txt")
return flag
def execute_commands(instance_id, dict_attributes):
publicip = ''
f = open('instance_details.json', 'r')
data = json.load(f)
for i in range(len(data['instance_details'])):
id = data['instance_details'][i]['instance_id'][0]
if id == instance_id:
publicip = data['instance_details'][i]['publicip'][0]
f.close()
command_initial = "ssh -o StrictHostKeyChecking=no -i newkey1.pem ubuntu@{} exit".format(publicip)
command3 = "scp -o StrictHostKeyChecking=no -i newkey1.pem {} ubuntu@{}:/home/ubuntu/".format(executable_shell_script,publicip)
command_new = "ssh -o StrictHostKeyChecking=no -i newkey1.pem ubuntu@{} chmod u+x execute_flow_single.sh".format(publicip)
command4 = "ssh -o StrictHostKeyChecking=no -i newkey1.pem ubuntu@{} ./execute_flow_single.sh {} {} {} {}".format(publicip,dict_attributes[1],dict_attributes[2],dict_attributes[3],dict_attributes[4])
print(command3)
print(command4)
subprocess.run([command_initial], shell=True)
subprocess.run([command3], shell=True)
subprocess.run([command_new], shell=True)
subprocess.run([command4], shell=True)
#print('abc123')
return True
def list_process_in_instance(instance_id):
publicip = ''
f = open('instance_details.json', 'r')
data = json.load(f)
for i in range(len(data['instance_details'])):
id = data['instance_details'][i]['instance_id'][0]
if id == instance_id:
publicip = data['instance_details'][i]['publicip'][0]
f.close()
list_process = []
shell_command = "ps aux | grep execute_flow_single.sh"
command5 = "ssh -o StrictHostKeyChecking=no -i newkey1.pem ubuntu@{} {} > list_process.txt".format(publicip,shell_command)
subprocess.run([command5], shell=True)
f = open("list_process.txt", "r")
for items in f:
list_process.append(items)
os.remove('list_process.txt')
print(list_process)
return list_process
def check_docker_running(instance_id):
list_process = list_process_in_instance(instance_id)
print(list_process)
print(len(list_process))
if len(list_process) > 0:
return True
else:
return False
def check_cpu_utilisation():
#Returns average cpu util of a 5 minute interval
instance_ids = []
with open('instance_details.json','r') as f:
data = json.load(f)
for i in range(0,len(data['instance_details'])):
id = data['instance_details'][i]['instance_id'][0]
#print(id)
instance_ids.append(id)
#print(instance_ids)
details_pod = {"instance_id": [],"cpu_usage" : []}
print(instance_ids)
list_detail_pod = []
if len(instance_ids)>0:
today = datetime.now() - timedelta(minutes=10)
today_1 = datetime.now() - timedelta(minutes=15)
starttime = datetime.strftime(today_1, "%Y-%m-%dT%H:%M:%S")
endtime = datetime.strftime(today, "%Y-%m-%dT%H:%M:%S")
period = "60"
statistics = "Average"
for i in range(len(instance_ids)):
details_pod = {"instance_id": [],"cpu_usage" : []}
instance_id = instance_ids[i]
#print(instance_id)
command6 = "aws cloudwatch get-metric-statistics --metric-name CPUUtilization --period {} --namespace AWS/EC2 --statistics {} --dimensions Name=InstanceId,Value={} --start-time {} --end-time {} >cpu_util.json".format(period, statistics, instance_id, starttime, endtime)
subprocess.run([command6], shell = True)
#print(command6)
#time.sleep(3)
f = open('cpu_util.json','r')
data = json.load(f)
details_pod["instance_id"] = instance_id
details_pod["cpu_usage"] = data["Datapoints"][0]["Average"]
list_detail_pod.append(details_pod)
os.remove('cpu_util.json')
f.close()
print(list_detail_pod)
else:
pass
return list_detail_pod
def run_load_balance_execute(list_detail_pod, dict_attributes):
instance_id = ''
if len(list_detail_pod) == 0:
instance_id = create_instance(instance_type = dict_attributes[7])
print(instance_id)
time.sleep(20)
flag = execute_commands(instance_id,dict_attributes)
print(flag)
time.sleep(10)
if flag:
time.sleep(5)
flag2 = check_docker_running(instance_id)
print(flag2)
time.sleep(10)
if flag2 == False:
flag_terminate = terminate_instance(instance_id)
else:
min_usage = list_detail_pod[0]["cpu_usage"]
min_instance = list_detail_pod[0]["instance_id"]
for details_pod in list_detail_pod:
if details_pod["cpu_usage"] < min_usage:
min_usage = details_pod["cpu_usage"]
min_instance = details_pod["instance_id"]
if min_usage > threshold_cpu_usage:
instance_id = create_instance(instance_type = dict_attributes[7])
time.sleep(20)
flag = execute_commands(instance_id, dict_attributes)
if flag:
time.sleep(5)
flag2 = check_docker_running(instance_id)
if flag2 == False:
flag_terminate = terminate_instance(instance_id)
else:
flag = execute_commands(min_instance, dict_attributes)
def main():
dict_attributes = []
for arg in sys.argv:
dict_attributes.append(arg)
#dict_attributes will hold all the attributes necessary to run the flow
print(dict_attributes)
list_detail_pod = check_cpu_utilisation()
run_load_balance_execute(list_detail_pod, dict_attributes)
pass
if __name__ == '__main__':
main()
pass