added explanation about the necessary role for the function and clarification of the use of credentials in localstack
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@ -1,3 +1,7 @@
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[default]
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[default]
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aws_access_key_id=test
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aws_access_key_id=test
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aws_secret_access_key=test
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aws_secret_access_key=test
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# not necessary at all... you can use any aws_access_key, aws_secret_key and session to talk to
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# localstack as it is a mockup/emulation of AWS. So you can even reuse your AWS Academy credentials
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# to also connect to localstack
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@ -9,28 +9,35 @@ from botocore.exceptions import ClientError
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#
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#
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################################################################################################
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################################################################################################
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# main change from real AWS Academy access to local emulated localstack is to change the endpoint
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# other than that the same tools (boto3, aws-cli, aws-cdk etc. can be used)
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endpoint_url = "http://localhost.localstack.cloud:4566"
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endpoint_url = "http://localhost.localstack.cloud:4566"
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# you need to create a bucket in S3, here in this demo it is called "cloudcomp-counter", but
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# a bucket in S3 will be created to store the counter bucket names need to be world-wide unique ;)
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# bucket names need to be world wide unique ;) The demo looks for a file that is named
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# Hence we create a bucket name that contains your group number and the current year.
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# "us-east-1" (same as our default region) in the bucket and expects a number in it to increase
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# The counter will be stores as key (file) "us-east-1" in the bucket (same name as our default region)
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# in the bucket and expects a number in it to increase
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groupNr = 22
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groupNr = 22
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currentYear = date.today().year
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currentYear = date.today().year
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globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
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globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
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# region = 'eu-central-1'
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# region = 'eu-central-1'
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region = 'us-east-1'
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region = 'us-east-1'
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functionName = 'cloudcomp-counter-lambda-demo'
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functionName = 'cloudcomp-counter-lambda-demo'
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# The Lambda function will run using privileges of a role, that allows the function to access/create
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# resources in AWS (in this case read/write to S3). In AWS Academy you need to use the role that
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# use created for your student account in the lab (see lab readme).
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# see ARN for AWS Academy LabRole function here:
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# see ARN for AWS Academy LabRole function here:
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# https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/roles/details/LabRole?section=permissions
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# https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/roles/details/LabRole?section=permissions
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#
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# roleArn = 'arn:aws:iam::309000625112:role/service-role/cloudcomp-counter-demo-role-6rs7pah3'
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# roleArn = 'arn:aws:iam::309000625112:role/service-role/cloudcomp-counter-demo-role-6rs7pah3'
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# roleArn = 'arn:aws:iam::919927306708:role/cloudcomp-s3-access'
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# roleArn = 'arn:aws:iam::919927306708:role/cloudcomp-s3-access'
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roleArn = 'arn:aws:iam::488766701848:role/LabRole'
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roleArn = 'arn:aws:iam::488766701848:role/LabRole'
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# For localstack you can use any role Arn and every secret and access key. Hence you can also use
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# existing AWS Academy credentials to connect to localstack
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################################################################################################
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################################################################################################
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#
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#
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# boto3 code
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# boto3 code
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@ -10,13 +10,8 @@ from botocore.exceptions import ClientError
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endpoint_url = "http://localhost.localstack.cloud:4566"
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endpoint_url = "http://localhost.localstack.cloud:4566"
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# you need to create a bucket in S3, here in this demo it is called "cloudcomp-counter", but
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# bucket names need to be world wide unique ;) The demo looks for a file that is named
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# "us-east-1" (same as our default region) in the bucket and expects a number in it to increase
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groupNr = 22
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groupNr = 22
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currentYear = date.today().year
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currentYear = date.today().year
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globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
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globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
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# region = 'eu-central-1'
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# region = 'eu-central-1'
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@ -9,10 +9,10 @@ from botocore.exceptions import ClientError
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#
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#
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################################################################################################
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################################################################################################
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# you need to create a bucket in S3, here in this demo it is called "cloudcomp-counter", but
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# a bucket in S3 will be created to store the counter bucket names need to be world-wide unique ;)
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# bucket names need to be world wide unique ;) The demo looks for a file that is named
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# Hence we create a bucket name that contains your group number and the current year.
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# "us-east-1" (same as our default region) in the bucket and expects a number in it to increase
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# The counter will be stores as key (file) "us-east-1" in the bucket (same name as our default region)
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# in the bucket and expects a number in it to increase
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groupNr = 22
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groupNr = 22
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currentYear = date.today().year
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currentYear = date.today().year
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@ -22,13 +22,21 @@ globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-gr
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region = 'us-east-1'
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region = 'us-east-1'
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functionName = 'cloudcomp-counter-lambda-demo'
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functionName = 'cloudcomp-counter-lambda-demo'
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# The Lambda function will run using privileges of a role, that allows the function to access/create
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# resources in AWS (in this case read/write to S3). In AWS Academy you need to use the role that
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# use created for your student account in the lab (see lab readme).
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# see ARN for AWS Academy LabRole function here:
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# see ARN for AWS Academy LabRole function here:
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# https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/roles/details/LabRole?section=permissions
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# https://us-east-1.console.aws.amazon.com/iamv2/home?region=us-east-1#/roles/details/LabRole?section=permissions
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#
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# roleArn = 'arn:aws:iam::309000625112:role/service-role/cloudcomp-counter-demo-role-6rs7pah3'
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# roleArn = 'arn:aws:iam::309000625112:role/service-role/cloudcomp-counter-demo-role-6rs7pah3'
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# roleArn = 'arn:aws:iam::919927306708:role/cloudcomp-s3-access'
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# roleArn = 'arn:aws:iam::919927306708:role/cloudcomp-s3-access'
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# roleArn = 'arn:aws:iam::488766701848:role/LabRole'
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# roleArn = 'arn:aws:iam::488766701848:role/LabRole'
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# standard name for role in AWS Academy lab created by vocareum is "LabRole". See README of the
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# lab. The following code will lookup the AWS Resource Name (ARN) (sort of the ID for this role)
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# that has the following name:
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roleName = "LabRole"
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################################################################################################
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################################################################################################
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#
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#
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# boto3 code
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# boto3 code
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@ -56,7 +64,7 @@ print("Getting AWS Academy LabRole ARN...")
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print("------------------------------------")
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print("------------------------------------")
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response = iamClient.list_roles()
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response = iamClient.list_roles()
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for role in response["Roles"]:
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for role in response["Roles"]:
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if role["RoleName"] == "LabRole":
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if role["RoleName"] == roleName:
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roleArn = role["Arn"]
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roleArn = role["Arn"]
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print(roleArn)
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print(roleArn)
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@ -136,18 +144,12 @@ print("Lambda Function and S3 Bucket to store the counter are available. Sadly,
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# that would call our function, as in the provided demo:
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# that would call our function, as in the provided demo:
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#
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#
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# https://348yxdily0.execute-api.eu-central-1.amazonaws.com/default/cloudcomp-counter-demo
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# https://348yxdily0.execute-api.eu-central-1.amazonaws.com/default/cloudcomp-counter-demo
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#
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# print("creating API gateway...")
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# print("creating API gateway...")
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# print("------------------------------------")
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# print("------------------------------------")
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#
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#
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# #apiArn = ""
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# response = apiClient.create_api(
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# response = apiClient.create_api(
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# Name=functionName + '-api',
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# Name=functionName + '-api',
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# ProtocolType='HTTP',
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# ProtocolType='HTTP',
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# Target=lambdaFunctionARN
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# Target=lambdaFunctionARN
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# )
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# )
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# #apiArn=response['']
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#
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# #response = lClient.create_event_source_mapping(
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# # EventSourceArn=apiArn,
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# #)
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@ -8,13 +8,8 @@ from botocore.exceptions import ClientError
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#
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#
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################################################################################################
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################################################################################################
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# you need to create a bucket in S3, here in this demo it is called "cloudcomp-counter", but
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# bucket names need to be world wide unique ;) The demo looks for a file that is named
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# "us-east-1" (same as our default region) in the bucket and expects a number in it to increase
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groupNr = 22
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groupNr = 22
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currentYear = date.today().year
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currentYear = date.today().year
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globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
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globallyUniqueS3GroupBucketName = "cloudcomp-counter-" + str(currentYear) + "-group" + str(groupNr)
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# region = 'eu-central-1'
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# region = 'eu-central-1'
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