from django.shortcuts import render
from ec2_metadata import ec2_metadata
import os
import sys
import numpy as np
import pandas as pd
from multiprocessing import Pool
import uuid
import boto3

sqs_client=boto3.client('sqs')
app_queue=os.environ['APP_QUEUE']

_pod_name=os.environ['POD_NAME']
_pod_ip=os.environ['POD_IP']
_matrix_dim=int(os.environ['MATRIX_DIM'])


def get_runtime(request):
  _job=uuid.uuid1()
  #sqs_response=sqs_client.send_message(MessageBody=str(_job),QueueUrl=app_queue) 
  #print("sqs_response:{}".format(sqs_response))
  _instance_type=ec2_metadata.instance_type
  _availability_zone_id=ec2_metadata.availability_zone_id
  _hostname=ec2_metadata.private_hostname
  runtime_obj={'pod_name':_pod_name,'pod_ip':_pod_ip,'instance_type':_instance_type,'availability_zone_id':_availability_zone_id,'hostname':_hostname}
  df1 = pd.DataFrame(data=np.random.randint(_matrix_dim,size=(_matrix_dim,_matrix_dim)));
  df2 = pd.DataFrame(data=np.random.randint(_matrix_dim,size=(_matrix_dim,_matrix_dim)));
  df12 = np.matmul(df1,df2)
  print("df1={}".format(df1)) 
  print("df2={}".format(df2)) 
  print("df12={}".format(df12)) 
  sys.stdout.flush()
  context = {"instance_runtime":runtime_obj}
  return render(request,"runtime_detail.html",context)