AWS CDK Pipelines引入了多个构件存储桶的问题，可能导致存储桶超过限制，影响部署。下面是解决方法，可以使用CDK Stacks的方法将所有存储桶的信息记录在单个堆栈中进行管理。

from aws_cdk import (
    core, 
    aws_s3 as s3,
    aws_codepipeline as codepipeline,
    aws_codepipeline_actions as actions,
    pipelines,
)

class MyPipelineStack(core.Stack):
    def __init__(
        self,
        scope: core.Construct,
        id: str,
        repo_name: str,
        **kwargs,
    ) -> None:
        super().__init__(scope, id, **kwargs)

        # create an S3 bucket for artifacts
        artifact_bucket = s3.Bucket(self, "MyArtifactBucket")
        
        # create another S3 bucket for source code in, if needed
        source_bucket = s3.Bucket(self, "MySourceBucket")

        # ...

        # create the pipeline
        pipeline = pipelines.CdkPipeline(
            self, "MyPipeline",
            pipeline_name="MyPipeline",
            cloud_assembly_artifact=pipelines.Artifact(artifact_bucket=artifact_bucket, 
                                          name="MyAppPipelineArtifact"),
            self_mutating=True,
            source_action=actions.GitHubSourceAction(
                action_name='GitHub-Source',
                owner="",
                repo=repo_name,
                oauth_token=core.SecretValue.secrets_manager(""),
                output=source_artifact,
            ),
            synth_action=MyPipelineStack.build_synth_action(
                source_artifact=source_artifact,
                cloud_assembly_artifact=cloud_assembly_artifact
            ),
        )

        # add an export to the artifact bucket name, for use in other stacks
        core.Tag.add(artifact_bucket, "canExport", "True")

        # export the bucket name as a stack output
        core.CfnOutput(
            self, "MyArtifactBucketName",
            value=artifact_bucket.bucket_name.export_name,
            description="The name of the artifact bucket",
            export_name=f"{core.Stack.of(self