文章目录
- [aws(学习笔记第三十二课) 深入使用cdk](#aws(学习笔记第三十二课) 深入使用cdk)
- 学习内容:
-
- [1. 使用`aws API Gateway`+`lambda`](#1. 使用
aws API Gateway+lambda) -
- [1.1. 以前的练习](#1.1. 以前的练习)
- [1.2. 使用`cdk`创建`API Gateway` + `lambda`](#1.2. 使用
cdk创建API Gateway+lambda) - [1.3. 确认`cdk`创建`API Gateway` + `lambda`](#1.3. 确认
cdk创建API Gateway+lambda)
- [2. 使用`event bridge`练习`producer`和`consumer`](#2. 使用
event bridge练习producer和consumer) -
- [2.1. 代码链接](#2.1. 代码链接)
- [2.2. 开始练习](#2.2. 开始练习)
- [2.3. 代码部署的确认](#2.3. 代码部署的确认)
- [2.4. 对部署进行测试](#2.4. 对部署进行测试)
- [1. 使用`aws API Gateway`+`lambda`](#1. 使用
aws(学习笔记第三十二课) 深入使用cdk
- 使用
cdk生成aws API Gateway+lambda以及eventbridge等等
学习内容:
- 使用
aws API Gateway+lambda - 使用
event bridge练习producer和consumer
1. 使用aws API Gateway+lambda
1.1. 以前的练习
- 以前的例子
API Gateway + lambda这个例子中已经使用了手动创建,使用练习了aws API Gateway+lambda - 使用
cdk来创建
这里,采用cdk的方式来创建API Gateway+lambda。
代码链接 api-cors-lambda
1.2. 使用cdk创建API Gateway + lambda
- 整体架构

- 代码解析
-
创建
lambda函数pythonbase_lambda = _lambda.Function(self, 'ApiCorsLambda', handler='lambda-handler.handler', runtime=_lambda.Runtime.PYTHON_3_12, code=_lambda.Code.from_asset('lambda'))注意,这里没有创建
VPC,因为这里不需要显示的创建VPC。

-
创建
API并且添加resourcepythonbase_api = _apigw.RestApi(self, 'ApiGatewayWithCors', rest_api_name='ApiGatewayWithCors') example_entity = base_api.root.add_resource( 'example', default_cors_preflight_options=_apigw.CorsOptions( allow_methods=['GET', 'OPTIONS'], allow_origins=_apigw.Cors.ALL_ORIGINS)
-
创建
LambdaIntegration将API和lambda进行绑定pythonexample_entity_lambda_integration = _apigw.LambdaIntegration( base_lambda, proxy=False, integration_responses=[ _apigw.IntegrationResponse( status_code="200", response_parameters={ 'method.response.header.Access-Control-Allow-Origin': "'*'" } ) ] )
-
对
API加入methodpythonexample_entity.add_method( 'GET', example_entity_lambda_integration, method_responses=[ _apigw.MethodResponse( status_code="200", response_parameters={ 'method.response.header.Access-Control-Allow-Origin': True } ) ] )
-
-
1.3. 确认cdk创建API Gateway + lambda
-
执行创建的
cdkshellcdk --require-approval never deploy -
查看创建的结果
-
lambda创建结果

-
API创建结果

-
确认
API的调用URL

-
访问
API的调用URL之后不要忘记
cdk destroy

-
2. 使用event bridge练习producer和consumer
2.1. 代码链接
这里主要练习使用eventbridge,进行producer和consumer的练习。
2.2. 开始练习
- 整体架构

- 代码解析
-
生成
producerpython# # Producer Lambda # event_producer_lambda = _lambda.Function(self, "eventProducerLambda", runtime=_lambda.Runtime.PYTHON_3_12, handler="event_producer_lambda.lambda_handler", code=_lambda.Code.from_asset("lambda") ) event_policy = iam.PolicyStatement(effect=iam.Effect.ALLOW, resources=['*'], actions=['events:PutEvents']) event_producer_lambda.add_to_role_policy(event_policy)这里,
producer被赋予权限putEvents,因为之后要向eventbridge进行putEvents操作。

-
producer的处理代码pythondef lambda_handler(event, context): eventbridge_client = boto3.client('events') request_body = event["body"] if request_body is None: request_body = "" # Structure of EventBridge Event eventbridge_event = { 'Time': datetime.datetime.now(), 'Source': 'com.mycompany.myapp', 'Detail': request_body, 'DetailType': 'service_status' } logger.info(eventbridge_event) # Send event to EventBridge response = eventbridge_client.put_events( Entries=[ eventbridge_event ] ) logger.info(response) # Returns success reponse to API Gateway return { "statusCode": 200, "body": json.dumps({ "result": "from Producer" }), }这里,使用了
boto3这个python package,AWS Boto3 是亚马逊云服务(AWS)官方提供的Python SDK,主要用于通过代码与AWS服务进行交互和管理。这里使用boto3向eventbridge进行putEvents。 -
consumer1和consumer2python# # Approved Consumer1 # event_consumer1_lambda = _lambda.Function(self, "eventConsumer1Lambda", runtime=_lambda.Runtime.PYTHON_3_8, handler="event_consumer_lambda.lambda_handler", code=_lambda.Code.from_asset("lambda") ) event_consumer1_rule = events.Rule(self, 'eventConsumer1LambdaRule', description='Approved Transactions', event_pattern=events.EventPattern(source=['com.mycompany.myapp'] )) event_consumer1_rule.add_target(targets.LambdaFunction(handler=event_consumer1_lambda)) # # Approved Consumer2 # event_consumer2_lambda = _lambda.Function(self, "eventConsumer2Lambda", runtime=_lambda.Runtime.PYTHON_3_8, handler="event_consumer_lambda.lambda_handler", code=_lambda.Code.from_asset("lambda") ) event_consumer2_rule = events.Rule(self, 'eventConsumer2LambdaRule', description='Approved Transactions', event_pattern=events.EventPattern(source=['com.mycompany.myapp'] )) event_consumer2_rule.add_target(targets.LambdaFunction(handler=event_consumer2_lambda))consumer1和consumer2类似,就是接受到了eventbridge的event之后,进行log输出。pythondef lambda_handler(event, context): logger.info(event) return { "statusCode": 200, "body": json.dumps({ "result": "testing..." }), }
-
consumer3使用kinesisfirehose对event进行接受,并保存到S3 bucket上python# # Approved Consumer3 # # Create S3 bucket for KinesisFirehose destination ingest_bucket = s3.Bucket(self, 'test-ngest-bucket') # Create a Role for KinesisFirehose firehose_role = iam.Role( self, 'myRole', assumed_by=iam.ServicePrincipal('firehose.amazonaws.com')) # Create and attach policy that gives permissions to write in to the S3 bucket. iam.Policy( self, 's3_attr', policy_name='s3kinesis', statements=[iam.PolicyStatement( actions=['s3:*'], resources=['arn:aws:s3:::' + ingest_bucket.bucket_name + '/*'])], # resources=['*'])], roles=[firehose_role], ) event_consumer3_kinesisfirehose = _firehose.CfnDeliveryStream(self, "consumer3-firehose", s3_destination_configuration=_firehose.CfnDeliveryStream.S3DestinationConfigurationProperty( bucket_arn=ingest_bucket.bucket_arn, buffering_hints=_firehose.CfnDeliveryStream.BufferingHintsProperty( interval_in_seconds=60 ), compression_format="UNCOMPRESSED", role_arn=firehose_role.role_arn )) event_consumer3_rule = events.Rule(self, 'eventConsumer3KinesisRule', description='Approved Transactions', event_pattern=events.EventPattern(source=['com.mycompany.myapp'] )) event_consumer3_rule.add_target(targets.KinesisFirehoseStream(stream=event_consumer3_kinesisfirehose))
-
将
producer通过API Gateway进行公开python# defines an API Gateway REST API resource backed by our "atm_producer_lambda" function. api = api_gw.LambdaRestApi(self, 'SampleAPI-EventBridge-Multi-Consumer', handler=event_producer_lambda, proxy=False ) items = api.root.add_resource("items") items.add_method("POST") # POST /items
-
2.3. 代码部署的确认
接下来进行cdk deploy来确认执行效果。
- 一个
producer与两个consumer,都是lambda

- 第三个
consumer,一个kinesisFireHose

API的producer

2.4. 对部署进行测试
-
对
API进行测试调用
返回了正常的结果。这里,需要对请求正文request body一定要设定参数这里设置如下。json{"item1":"123","item2":"234"}使用
API调用,之后启动producer的lamdba,向eventbridge进行putEvents。

-
对
consumer1和consumer2进行确认

-
对
consumer3进行确认
这里主要是对S3 bucket进行确认。可以看到,
producer->event->eventbridge->consumer3->kinesis firehose->S3 bucket
最后cdk destroy。
