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enabled API gateway in AWS lambda as it is now available for AWS academy

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This commit is contained in:
Sebastian Rieger
2024-07-02 21:06:40 +02:00
parent 259afec126
commit 376d287b65
2 changed files with 46 additions and 24 deletions
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55
example-projects/counter-demo/aws-lambda/start.py
View File

@@ -28,6 +28,8 @@ functionName = 'cloudcomp-counter-lambda-demo'
# 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'
@@ -68,6 +70,16 @@ for role in response["Roles"]:
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:
@@ -84,8 +96,8 @@ try:
currentBucket = s3Resource.Bucket(globallyUniqueS3GroupBucketName)
cleanup_s3_bucket(currentBucket)
currentBucket.delete()
except ClientError as e:
print(e)
except s3Client.exceptions.NoSuchBucket:
print('Bucket not available. No need to delete it.')
print("creating S3 bucket (must be globally unique)...")
print("------------------------------------")
@@ -124,11 +136,25 @@ with open('lambda-deployment-archive.zip', mode='rb') as file:
)
lambdaFunctionARN = response['FunctionArn']
print("Lambda Function and S3 Bucket to store the counter are available. Sadly, AWS Academy labs do not allow\n"
"creating an API gateway to be able to access the Lambda function directly via HTTP from the browser, as\n"
"shown in https://348yxdily0.execute-api.eu-central-1.amazonaws.com/default/cloudcomp-counter-demo.\n"
# 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"
"However you can now run invoke-function.py to view an increment the counter. You can also use \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"
@@ -137,19 +163,4 @@ print("Lambda Function and S3 Bucket to store the counter are available. Sadly,
"\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")
# sadly, AWS Academy Labs don't allow API gateways
# API gateway would allow getting an HTTP endpoint that we could access directly in the browser,
# that would 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
# )
"and cons are.\n")

15
example-projects/counter-demo/aws-lambda/stop.py
View File

@@ -36,8 +36,19 @@ client = boto3.setup_default_session(region_name=region)
s3Client = boto3.client('s3')
s3Resource = boto3.resource('s3')
lClient = boto3.client('lambda')
apiClient = boto3.client("apigatewayv2")
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:
@@ -54,5 +65,5 @@ try:
currentBucket = s3Resource.Bucket(globallyUniqueS3GroupBucketName)
cleanup_s3_bucket(currentBucket)
currentBucket.delete()
except ClientError as e:
print(e)
except s3Client.exceptions.NoSuchBucket:
print('Bucket not available. No need to delete it.')