mirror of
https://github.com/20kaushik02/CSE546_Cloud_Computing_Projects.git
synced 2025-12-06 07:54:07 +00:00
440 lines
20 KiB
Python
440 lines
20 KiB
Python
__copyright__ = "Copyright 2024, VISA Lab"
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__license__ = "MIT"
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import pdb
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import time
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import botocore
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import argparse
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import textwrap
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import boto3
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from boto3 import client as boto3_client
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from botocore.exceptions import ClientError
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from datetime import datetime,timezone,timedelta
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import re
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import os
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import shutil
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class aws_grader():
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def __init__(self, access_key, secret_key, buckets, lambda_names, region, asu_id):
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self.access_key = access_key
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self.secret_key = secret_key
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self.region = region
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self.s3 = boto3_client('s3', aws_access_key_id=self.access_key,
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aws_secret_access_key=self.secret_key, region_name=region)
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self.cloudwatch = boto3_client('cloudwatch', aws_access_key_id=self.access_key,
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aws_secret_access_key=self.secret_key, region_name=region)
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self.iam_session = boto3.Session(aws_access_key_id=self.access_key,
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aws_secret_access_key=self.secret_key)
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self.s3_resources = self.iam_session.resource('s3', region)
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self.lambda_function = boto3_client('lambda', aws_access_key_id=self.access_key,
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aws_secret_access_key=self.secret_key, region_name=region)
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self.in_bucket_name = buckets[0]
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self.out_bucket_name = buckets[2]
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self.buckets = buckets
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self.lambda_names = lambda_names
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self.test_result = {}
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self.end_to_end_latency = 0
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self.output_folder = f"outputs_{asu_id}"
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self.match = ["Trump", "Biden", "Bean", "Depp", "Diesel", "Floki", "Freeman", "Obama"]
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self.total_points = 0
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def validate_lambda_exists_each(self, name, TC_num, num):
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TC_num_sub = TC_num + "_" + str(chr(97 + num))
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try:
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response = self.lambda_function.get_function(
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FunctionName=name
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)
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print(f"Lambda function {name} HTTPStatusCode {response['ResponseMetadata']['HTTPStatusCode']}")
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self.test_result[TC_num_sub] = "PASS"
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except self.lambda_function.exceptions.ResourceNotFoundException as e:
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print(f"Error {e}")
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self.test_result[TC_num_sub] = "FAIL"
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}")
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def validate_lambda_exists(self, TC_num):
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self.validate_lambda_exists_each("video-splitting",TC_num, num=0)
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self.validate_lambda_exists_each("face-recognition", TC_num, num=1)
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if self.test_result[TC_num + "_" + str(chr(97 + 0))] == "FAIL" or self.test_result[TC_num + "_" + str(chr(97 + 1))] == "FAIL":
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self.total_points -= 10
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def validate_s3_subfolders_each(self, buckets, in_objects, TC_num):
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for num, bucket in enumerate(buckets[1:]):
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print(f"\nComparing buckets {buckets[0]} and {bucket} ...")
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TC_num_sub = TC_num+"_"+str(chr(97+num))
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self.test_result[TC_num_sub] = "PASS"
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for obj in in_objects['Contents']:
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folder_name = obj['Key'].rsplit('.', 1)[0]
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out_objects = self.s3.list_objects_v2(Bucket=bucket, Prefix=folder_name, Delimiter='/')
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if out_objects['KeyCount'] == 1 or out_objects['KeyCount'] == 11:
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folder_name = out_objects['CommonPrefixes'][0]['Prefix'].rsplit("/")[0]
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prefix_name = out_objects['Prefix']
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if folder_name == prefix_name:
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print(f"{prefix_name} matches with {folder_name}")
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else:
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prefix_name = out_objects['Prefix']
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self.test_result[TC_num_sub] = "FAIL"
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print(f"NO folder named {prefix_name}\nExiting this test case... ")
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# print(f"DEBUG :: {out_objects}")
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break
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}")
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def validate_s3_subfolders(self, TC_num):
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in_objects = self.s3.list_objects_v2(Bucket=self.in_bucket_name)
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if in_objects['KeyCount']==0:
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print(f"Empty bucket {self.in_bucket_name}")
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print(f"Test status of {TC_num} : {self.test_result[TC_num]}")
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return
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self.validate_s3_subfolders_each(buckets,in_objects,TC_num)
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def check_non_empty_folders(self, bucket_num, TC_num):
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bucket = self.s3_resources.Bucket(self.buckets[bucket_num])
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TC_num_sub = TC_num + "_" + str(chr(96 + bucket_num))
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self.test_result[TC_num_sub] = "FAIL"
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try:
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objects = list(bucket.objects.all())
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print(f"{self.buckets[bucket_num]} contains {len(objects)} objects")
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if bucket_num==4:
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prefix_pattern = r"test_\d{2}/[oO]utput-\d{2}.txt"
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else:
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prefix_pattern = r"test_\d{2}/[oO]utput-\d{2}.(jpg|jpeg)"
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count = self.count_values_with_prefix(objects, prefix_pattern)
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# print(f"DEBUG :: Bucket {stage_1_bucket} has {count} objects that matches the pattern")
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if count >= 100:
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self.test_result[TC_num_sub] = "PASS"
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except ClientError:
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print(f"Couldn't get objects for bucket {bucket.name}")
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raise
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}\n")
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def count_values_with_prefix(self,objects, prefix_pattern):
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count = 0
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for o in objects:
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if re.match(prefix_pattern, o.key):
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# print(f"DEBUG :: Object key '{o.key}' follows the pattern '{prefix_pattern}'")
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count += 1
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else:
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print(f"Object key '{o.key}' does NOT follows the pattern '{prefix_pattern}'")
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return count
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def validate_bucket_objects(self, TC_num, bucket_num):
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bucket = self.buckets[bucket_num]
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bucket_res = self.s3_resources.Bucket(self.buckets[bucket_num])
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self.test_result[TC_num] = "FAIL"
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try:
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objects = list(bucket_res.objects.all())
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print(f"{self.buckets[bucket_num]} contains {len(objects)} objects")
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if bucket_num == 2:
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prefix_pattern = r"test_\d{2}.txt"
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else:
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prefix_pattern = r"test_\d{2}.(jpg|jpeg)"
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count = self.count_values_with_prefix(objects, prefix_pattern)
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# print(f"DEBUG :: Bucket {stage_1_bucket} has {count} objects that matches the pattern")
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if count >= 100:
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self.test_result[TC_num] = "PASS"
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self.total_points += 20
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else:
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missing = 100 - count
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self.total_points = self.total_points + 20 - min(missing, 20)
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except ClientError:
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print(f"Couldn't get objects for bucket {bucket.name}")
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raise
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print(f"Test status of {TC_num} : {self.test_result[TC_num]}\n")
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def validate_s3_output_objects(self, TC_num):
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in_bucket = self.s3_resources.Bucket(self.buckets[0])
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try:
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in_objects = list(in_bucket.objects.all())
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print(f"{self.buckets[0]} contains {len(in_objects)} objects")
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# Check if all the folders of stage-1, stage-2, stage-3, and output bucket are non-empty
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self.check_non_empty_folders(1,TC_num=TC_num)
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self.check_non_empty_folders(2,TC_num=TC_num)
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self.check_non_empty_folders(3,TC_num=TC_num)
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self.check_non_empty_folders(4,TC_num=TC_num)
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except ClientError:
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print(f"Couldn't get objects for bucket {in_bucket.name}")
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raise
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else:
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return
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# You have to make sure to run the workload generator and it executes within 15 mins
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# of polling for cloudwatch metrics.
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def check_lambda_duration_each(self, functionName, TC_num, subcase, threshold):
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TC_num_sub = TC_num + "_" + str(chr(96 + subcase))
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response = self.cloudwatch.get_metric_data(
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MetricDataQueries=[
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{
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'Id': 'testDuration',
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'MetricStat': {
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'Metric': {
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'Namespace': 'AWS/Lambda',
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'MetricName': 'Duration',
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"Dimensions": [
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{
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"Name": "FunctionName",
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"Value": functionName
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}
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]
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},
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'Period': 600,
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'Stat': 'Average'
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},
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'ReturnData': True,
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},
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],
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StartTime=datetime.now().utcnow() - timedelta(minutes=15),
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EndTime=datetime.now().utcnow(),
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ScanBy='TimestampAscending'
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)
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print(response['MetricDataResults'][0]['Values'])
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values = response['MetricDataResults'][0]['Values']
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if not values:
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self.test_result[TC_num_sub] = "FAIL"
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}")
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return
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if max(values) > threshold:
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self.test_result[TC_num_sub] = "FAIL"
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else:
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self.test_result[TC_num_sub] = "PASS"
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}")
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def check_lambda_duration(self, TC_num):
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self.check_lambda_duration_each('video-splitting', TC_num, 1, threshold=2000)
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self.check_lambda_duration_each('face-recognition', TC_num, 2, threshold=10000)
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def check_lambda_concurrency_each(self,functionName, TC_num,subcase, threshold):
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TC_num_sub = TC_num + "_" + str(chr(96 + subcase))
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response = self.cloudwatch.get_metric_data(
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MetricDataQueries=[
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{
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'Id': 'testConcurrency',
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'MetricStat': {
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'Metric': {
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'Namespace': 'AWS/Lambda',
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'MetricName': 'ConcurrentExecutions',
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"Dimensions": [
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{
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"Name": "FunctionName",
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"Value": functionName
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}
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]
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},
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'Period': 600,
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'Stat': 'Maximum'
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},
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'ReturnData': True,
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},
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],
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StartTime=datetime.now().utcnow() - timedelta(minutes=15),
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EndTime=datetime.now().utcnow(),
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ScanBy='TimestampAscending'
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)
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print(response['MetricDataResults'][0]['Values'])
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values = response['MetricDataResults'][0]['Values']
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if not values:
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self.test_result[TC_num_sub] = "FAIL"
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}")
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return
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if max(values) < threshold:
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self.test_result[TC_num_sub] = "FAIL"
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else:
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self.test_result[TC_num_sub] = "PASS"
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}")
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def check_lambda_concurrency(self,TC_num):
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self.check_lambda_concurrency_each('video-splitting', TC_num,1, threshold=3)
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self.check_lambda_concurrency_each('face-recognition', TC_num,2, threshold=3)
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def check_bucket_exist(self, bucket):
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if not bucket:
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print(f"Bucket name is empty!")
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return False
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try:
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self.s3.head_bucket(Bucket=bucket)
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print(f"Bucket {bucket} Exists!")
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return True
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except botocore.exceptions.ClientError as e:
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# If a client error is thrown, then check that it was a 404 error.
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# If it was a 404 error, then the bucket does not exist.
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error_code = int(e.response['Error']['Code'])
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if error_code == 403:
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print("Private Bucket. Forbidden Access!")
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return True
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elif error_code == 404:
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print(f"Bucket {bucket} does Not Exist!")
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return False
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def empty_s3_bucket(self, bucket_name):
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bucket = self.s3_resources.Bucket(bucket_name)
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bucket.objects.all().delete()
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print(f"{bucket_name} S3 Bucket is now EMPTY !!")
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def count_bucket_objects(self, bucket_name):
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bucket = self.s3_resources.Bucket(bucket_name)
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count = 0
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for index in bucket.objects.all():
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count += 1
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#print(f"{bucket_name} S3 Bucket has {count} objects !!")
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return count
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def validate_s3_buckets_initial_each(self, bucket_num, TC_num):
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TC_num_sub = TC_num + "_" + str(chr(97 + bucket_num))
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isExist = self.check_bucket_exist(self.buckets[bucket_num])
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self.test_result[TC_num_sub] = "FAIL"
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if isExist:
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obj_count = self.count_bucket_objects(self.buckets[bucket_num])
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print(f"S3 Bucket:{self.buckets[bucket_num]} has {obj_count} object(s)")
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if obj_count == 0:
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self.test_result[TC_num_sub] = "PASS"
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else:
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self.test_result[TC_num_sub] = "FAIL"
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print(f"Test status of {TC_num_sub} : {self.test_result[TC_num_sub]}\n")
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def validate_s3_buckets_initial(self, TC_num):
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print(" - Run this BEFORE the workload generator client starts. Press Ctrl^C to exit.")
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print(" - WARN: If there are objects in the S3 buckets; they will be deleted")
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print(" ---------------------------------------------------------")
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for i in range(len(self.buckets)):
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self.validate_s3_buckets_initial_each(bucket_num=i, TC_num=TC_num)
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if self.test_result[TC_num + "_" + str(chr(97 + 0))] == "FAIL" or \
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self.test_result[TC_num + "_" + str(chr(97 + 1))] == "FAIL" or \
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self.test_result[TC_num + "_" + str(chr(97 + 2))] == "FAIL":
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self.total_points -= 10
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def download_from_s3(self, bucket, folder_name):
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objects = self.s3.list_objects_v2(Bucket=bucket, Prefix=folder_name)
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for obj in objects.get('Contents', []):
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# Get key (filename) of the object
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key = obj['Key']
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self.s3.download_file(bucket, key, f"/tmp/{key}")
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def check_end_to_end(self, TC_num):
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print(" - Make sure workload generator is started. Press Ctrl^C to exit.")
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print(" ---------------------------------------------------------")
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print("Proceed? (y/n)")
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proceed = input()
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if proceed == "y":
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start_time = time.time()
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self.test_result[TC_num] = "FAIL"
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out_bucket = self.s3_resources.Bucket(self.buckets[2])
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while len(list(out_bucket.objects.all())) <= 100 or (time.time()-start_time)<=400:
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objects = out_bucket.objects.all()
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print(f"Total objects in output bucket: {len(list(objects))}, current time elapsed: {time.time()-start_time}")
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if len(list(objects)) == 100:
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self.end_to_end_latency = time.time() - start_time
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print(f"End-to-end latency is: {self.end_to_end_latency}")
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break
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if(time.time() - start_time) < 400:
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self.test_result[TC_num] = "PASS"
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if self.end_to_end_latency <= 300:
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self.total_points += 30
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elif 300 < self.end_to_end_latency <=400:
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self.total_points += 20
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elif self.end_to_end_latency > 400:
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objects = out_bucket.objects.all()
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missing = 100 - len(list(objects))
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self.total_points = self.total_points + 20 - min(missing, 20)
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print(f"Test status of {TC_num} : {self.test_result[TC_num]}\n")
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def check_correctness(self, TC_num):
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if os.path.exists(self.output_folder):
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shutil.rmtree(self.output_folder)
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if not os.path.exists(self.output_folder):
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os.makedirs(self.output_folder)
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out_bucket = self.s3_resources.Bucket(self.buckets[2])
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objects = out_bucket.objects.all()
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print(f"Downloading {len(list(objects))} objects from the {self.buckets[2]} bucket ...")
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for o in objects:
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# print(self.output_folder,out_bucket,o.key)
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self.s3.download_file(self.buckets[2], o.key, os.path.join(self.output_folder,o.key))
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match_count = 0
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for i,filename in enumerate(sorted(os.listdir(self.output_folder))):
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with open(os.path.join(self.output_folder, filename),"r") as f:
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line = f.read()
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prefix_pattern = r"test_\d{2}.txt"
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if not re.match(prefix_pattern, filename):
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self.test_result[TC_num] = "FAIL"
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print(f"Filename does not follow the required pattern {prefix_pattern}. Cannnot check correctness test.")
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return
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filenum = int(filename.split("_")[1].split(".")[0]) % len(self.match)
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if line.strip() == self.match[filenum]:
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match_count += 1
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else:
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print(f"{filename} content {line.strip()} did not match with {self.match[i % len(self.match)]}")
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missing = 100 - match_count
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print(f"Missing correct results = {missing}")
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if missing == 0:
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self.test_result[TC_num] = "PASS"
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else:
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self.test_result[TC_num] = "FAIL"
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print(f"Test status of {TC_num} : {self.test_result[TC_num]}\n")
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self.total_points = self.total_points + 30 - min(missing, 30)
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def display_menu(self):
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print("\n")
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print("=============================================================================")
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print("======== Welcome to CSE546 Cloud Computing AWS Console ======================")
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print("=============================================================================")
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print(f"IAM ACCESS KEY ID: {self.access_key}")
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print(f"IAM SECRET ACCESS KEY: {self.secret_key}")
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print("=============================================================================")
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print("1 - Validate all Lambda functions")
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print("2 - Validate S3 Buckets names and initial states")
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print("3 - End-to-end pipeline testing")
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print("4 - Validate Stage-1 bucket objects")
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print("5 - Validate Output bucket objects")
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print("6 - Check the correctness of the results")
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print("0 - Exit")
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print("Enter a choice:")
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choice = input()
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return choice
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def main(self):
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while(1):
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choice = self.display_menu()
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if int(choice) == 1:
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self.validate_lambda_exists('Test_1')
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elif int(choice) == 2:
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self.validate_s3_buckets_initial('Test_2')
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elif int(choice) == 3:
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self.check_end_to_end('Test_3')
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elif int(choice) == 4:
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self.validate_bucket_objects('Test_4',bucket_num=1)
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elif int(choice) == 5:
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self.validate_bucket_objects('Test_5',bucket_num=2)
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elif int(choice) == 6:
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self.check_correctness('Test_6')
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elif int(choice) == 0:
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break
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print(f"Total points : {self.total_points}")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Grading Script')
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parser.add_argument('--access_key', type=str, help='ACCCESS KEY ID of the grading IAM user')
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parser.add_argument('--secret_key', type=str, help='SECRET KEY of the grading IAM user')
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parser.add_argument('--asu_id', type=str, help='10-digit ASU ID')
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args = parser.parse_args()
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access_key = args.access_key
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secret_key = args.secret_key
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asu_id = args.asu_id
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input_bucket = asu_id+"-input"
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output_bucket = asu_id+"-output"
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stage_1_bucket = asu_id+"-stage-1"
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buckets = [input_bucket, stage_1_bucket, output_bucket]
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lambda_names = ["video-splitting", "face-recognition"]
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region = 'us-east-1'
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aws_obj = aws_grader(access_key, secret_key, buckets, lambda_names,region, asu_id)
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aws_obj.main()
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