Skip to main content

The CDK Construct Library for Amazon EventBridge Pipes Targets

Project description

Amazon EventBridge Pipes Targets Construct Library

---

cdk-constructs: Experimental

The APIs of higher level constructs in this module are experimental and under active development. They are subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model and breaking changes will be announced in the release notes. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


EventBridge Pipes Targets let you create a target for an EventBridge Pipe.

For more details see the service documentation.

Targets

Pipe targets are the end point of an EventBridge Pipe. The following targets are supported:

Amazon EventBridge API Destination

An EventBridge API destination can be used as a target for a pipe. The API destination will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# dest: events.ApiDestination


api_target = targets.ApiDestinationTarget(dest)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=api_target
)

The input to the target API destination can be transformed:

# source_queue: sqs.Queue
# dest: events.ApiDestination


api_target = targets.ApiDestinationTarget(dest,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=api_target
)

Amazon CloudWatch Logs Log Group

A CloudWatch Logs log group can be used as a target for a pipe. The log group will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_log_group: logs.LogGroup


log_group_target = targets.CloudWatchLogsTarget(target_log_group)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=log_group_target
)

The input to the target log group can be transformed:

# source_queue: sqs.Queue
# target_log_group: logs.LogGroup


log_group_target = targets.CloudWatchLogsTarget(target_log_group,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=log_group_target
)

Amazon EventBridge Event Bus

An EventBridge event bus can be used as a target for a pipe. The event bus will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_event_bus: events.EventBus


event_bus_target = targets.EventBridgeTarget(target_event_bus)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=event_bus_target
)

The input to the target event bus can be transformed:

# source_queue: sqs.Queue
# target_event_bus: events.EventBus


event_bus_target = targets.EventBridgeTarget(target_event_bus,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=event_bus_target
)

Amazon Kinesis Data Stream

A Kinesis data stream can be used as a target for a pipe. The data stream will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_stream: kinesis.Stream


stream_target = targets.KinesisTarget(target_stream,
    partition_key="pk"
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=stream_target
)

The input to the target data stream can be transformed:

# source_queue: sqs.Queue
# target_stream: kinesis.Stream


stream_target = targets.KinesisTarget(target_stream,
    partition_key="pk",
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=stream_target
)

AWS Lambda Function

A Lambda function can be used as a target for a pipe. The Lambda function will be invoked with the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_function: lambda.IFunction


pipe_target = targets.LambdaFunction(target_function)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The target Lambda function is invoked synchronously by default. You can also choose to invoke the Lambda Function asynchronously by setting invocationType property to FIRE_AND_FORGET.

# source_queue: sqs.Queue
# target_function: lambda.IFunction


pipe_target = targets.LambdaFunction(target_function,
    invocation_type=targets.LambdaFunctionInvocationType.FIRE_AND_FORGET
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The input to the target Lambda Function can be transformed:

# source_queue: sqs.Queue
# target_function: lambda.IFunction


pipe_target = targets.LambdaFunction(target_function,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

Amazon SageMaker Pipeline

A SageMaker pipeline can be used as a target for a pipe. The pipeline will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_pipeline: sagemaker.IPipeline


pipeline_target = targets.SageMakerTarget(target_pipeline)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipeline_target
)

The input to the target pipeline can be transformed:

# source_queue: sqs.Queue
# target_pipeline: sagemaker.IPipeline


pipeline_target = targets.SageMakerTarget(target_pipeline,
    input_transformation=pipes.InputTransformation.from_object({"body": "👀"})
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipeline_target
)

AWS Step Functions State Machine

A Step Functions state machine can be used as a target for a pipe. The state machine will be invoked with the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_state_machine: sfn.IStateMachine


pipe_target = targets.SfnStateMachine(target_state_machine)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

You can specify the invocation type when the target state machine is invoked:

# source_queue: sqs.Queue
# target_state_machine: sfn.IStateMachine


pipe_target = targets.SfnStateMachine(target_state_machine,
    invocation_type=targets.StateMachineInvocationType.FIRE_AND_FORGET
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The input to the target state machine can be transformed:

# source_queue: sqs.Queue
# target_state_machine: sfn.IStateMachine


pipe_target = targets.SfnStateMachine(target_state_machine,
    input_transformation=pipes.InputTransformation.from_object({"body": "<$.body>"}),
    invocation_type=targets.StateMachineInvocationType.FIRE_AND_FORGET
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

Amazon SQS Queue

An SQS queue can be used as a target for a pipe. The queue will receive the (enriched/filtered) source payload.

# source_queue: sqs.Queue
# target_queue: sqs.Queue


pipe_target = targets.SqsTarget(target_queue)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

The target input can be transformed:

# source_queue: sqs.Queue
# target_queue: sqs.Queue


pipe_target = targets.SqsTarget(target_queue,
    input_transformation=pipes.InputTransformation.from_object({
        "SomeKey": pipes.DynamicInput.from_event_path("$.body")
    })
)

pipe = pipes.Pipe(self, "Pipe",
    source=SqsSource(source_queue),
    target=pipe_target
)

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

File details

Details for the file aws_cdk_aws_pipes_targets_alpha-2.167.1a0.tar.gz.

File metadata

File hashes

Hashes for aws_cdk_aws_pipes_targets_alpha-2.167.1a0.tar.gz
Algorithm Hash digest
SHA256 d50463c03d81130e4c72be0fe4b365b5382072cfcb41e5d5c10d0ba1a87bce36
MD5 ff7566298b9a46ef30bfb49f93c063a3
BLAKE2b-256 d88f6d848fbc33fe7d8467c305b628b3c30ff55050884030c31a383087c00b10

See more details on using hashes here.

File details

Details for the file aws_cdk.aws_pipes_targets_alpha-2.167.1a0-py3-none-any.whl.

File metadata

File hashes

Hashes for aws_cdk.aws_pipes_targets_alpha-2.167.1a0-py3-none-any.whl
Algorithm Hash digest
SHA256 dc548aee5e57cb915cb8ebb08f9048af9a8ae5efc3b1c75f46050c13a07be6b0
MD5 03d49eb3bd9172aa6aaca7853d353060
BLAKE2b-256 1654103fa79b6a995f2297fe2eb259ea5eadaaaf180254daee866e5e119e95f8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page