You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 

166 lines
5.9 KiB

from datetime import date
import zipfile
import boto3
from botocore.exceptions import ClientError
################################################################################################
#
# Configuration Parameters
#
################################################################################################
# a bucket in S3 will be created to store the counter bucket names need to be world-wide unique ;)
# Hence we create a bucket name that contains your group number and the current year.
# The counter will be stores as key (file) "us-east-1" in the bucket (same name as our default region)
# in the bucket and expects a number in it to increase
groupNr = 22
currentYear = date.today().year
globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
# region = 'eu-central-1'
region = 'us-east-1'
functionName = 'cloudcomp-counter-lambda-demo'
# The Lambda function will run using privileges of a role, that allows the function to access/create
# resources in AWS (in this case read/write to S3). In AWS Academy you need to use the role that
# use created for your student account in the lab (see lab readme).
# see ARN for AWS Academy LabRole function here:
# https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/roles/details/LabRole?section=permissions
#
# e.g.: (309000625112, 919927306708, 488766701848 would in your case be your AWS Account ID, see Lab Details)
#
# roleArn = 'arn:aws:iam::309000625112:role/service-role/cloudcomp-counter-demo-role-6rs7pah3'
# roleArn = 'arn:aws:iam::919927306708:role/cloudcomp-s3-access'
# roleArn = 'arn:aws:iam::488766701848:role/LabRole'
# standard name for role in AWS Academy lab created by vocareum is "LabRole". See README of the
# lab. The following code will lookup the AWS Resource Name (ARN) (sort of the ID for this role)
# that has the following name:
roleName = "LabRole"
################################################################################################
#
# boto3 code
#
################################################################################################
def cleanup_s3_bucket(s3_bucket):
# Deleting objects
for s3_object in s3_bucket.objects.all():
s3_object.delete()
# Deleting objects versions if S3 versioning enabled
for s3_object_ver in s3_bucket.object_versions.all():
s3_object_ver.delete()
client = boto3.setup_default_session(region_name=region)
iamClient = boto3.client('iam')
s3Client = boto3.client('s3')
s3Resource = boto3.resource('s3')
lClient = boto3.client('lambda')
apiClient = boto3.client("apigatewayv2")
print("Getting AWS Academy LabRole ARN...")
print("------------------------------------")
response = iamClient.list_roles()
for role in response["Roles"]:
if role["RoleName"] == roleName:
roleArn = role["Arn"]
print(roleArn)
print("Searching for old API gateway...")
print("------------------------------------")
for api in apiClient.get_apis()["Items"]:
if api["Name"] == functionName + '-api':
print("Deleting old API gateway...")
print("------------------------------------")
response = apiClient.delete_api(
ApiId=api["ApiId"],
)
print("Deleting old function...")
print("------------------------------------")
try:
response = lClient.delete_function(
FunctionName=functionName,
)
except lClient.exceptions.ResourceNotFoundException:
print('Function not available. No need to delete it.')
print("Deleting old bucket...")
print("------------------------------------")
try:
currentBucket = s3Resource.Bucket(globallyUniqueS3GroupBucketName)
cleanup_s3_bucket(currentBucket)
currentBucket.delete()
except s3Client.exceptions.NoSuchBucket:
print('Bucket not available. No need to delete it.')
print("creating S3 bucket (must be globally unique)...")
print("------------------------------------")
try:
response = s3Client.create_bucket(Bucket=globallyUniqueS3GroupBucketName)
response = s3Client.put_object(Bucket=globallyUniqueS3GroupBucketName, Key='us-east-1', Body=str(0))
except ClientError as e:
print(e)
print("creating new function...")
print("------------------------------------")
zf = zipfile.ZipFile('lambda-deployment-archive.zip', 'w', zipfile.ZIP_DEFLATED)
zf.write('lambda_function.py')
zf.close()
lambdaFunctionARN = ""
with open('lambda-deployment-archive.zip', mode='rb') as file:
zipfileContent = file.read()
response = lClient.create_function(
FunctionName=functionName,
Runtime='python3.9',
Role=roleArn,
Code={
'ZipFile': zipfileContent
},
Handler='lambda_function.lambda_handler',
Publish=True,
Environment={
'Variables': {
'bucketName': globallyUniqueS3GroupBucketName
}
}
)
lambdaFunctionARN = response['FunctionArn']
# API gateway to get an HTTP endpoint that we can access directly in the browser,
# which will call our function, as in the provided demo:
# https://348yxdily0.execute-api.eu-central-1.amazonaws.com/default/cloudcomp-counter-demo
print("creating API gateway...")
print("------------------------------------")
response = apiClient.create_api(
Name=functionName + '-api',
ProtocolType='HTTP',
Target=lambdaFunctionARN,
CredentialsArn=roleArn
)
print("Lambda Function and S3 Bucket to store the counter are created.\n"
"\n"
"You can access the API gateway and increment the counter using the created Lambda function\n"
"at: " + response["ApiEndpoint"] + " \n"
"You can also run invoke-function.py to view an increment the counter. You can also use \n"
"the test button in the Lambda AWS console. In this case you need to send the content\n"
"\n"
"{\n"
" \"input\": \"1\"\n"
"}\n"
"\n"
"to increment the counter by 1.\n"
"Try to understand how Lambda can be used to cut costs regarding cloud services and what its pros\n"
"and cons are.\n")