Saravanan666/pypi-org huggingface dataset:
Package: aws-cdk.aws-iotsitewise
AWS::IoTSiteWise Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_iotsitewiseasiotsitewiseThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for IoTSiteWise construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::IoTSiteWise resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::IoTSiteWise.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-iotthingsgraph
AWS IoT Things Graph Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_iotthingsgraphasiotthingsgraphThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for IoTThingsGraph construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::IoTThingsGraph resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::IoTThingsGraph.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-iottwinmaker
AWS::IoTTwinMaker Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_iottwinmakerasiottwinmakerThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for IoTTwinMaker construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::IoTTwinMaker resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::IoTTwinMaker.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-iotwireless
AWS::IoTWireless Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_iotwirelessasiotwirelessThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for IoTWireless construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::IoTWireless resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::IoTWireless.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-ivs
AWS::IVS Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.Amazon Interactive Video Service (Amazon IVS) is a managed live streaming
solution that is quick and easy to set up, and ideal for creating interactive
video experiences. Send your live streams to Amazon IVS using streaming software
and the service does everything you need to make low-latency live video
available to any viewer around the world, letting you focus on building
interactive experiences alongside the live video. You can easily customize and
enhance the audience experience through the Amazon IVS player SDK and timed
metadata APIs, allowing you to build a more valuable relationship with your
viewers on your own websites and applications.This module is part of theAWS Cloud Development Kitproject.ChannelsAn Amazon IVS channel stores configuration information related to your live
stream. You first create a channel and then contribute video to it using the
channel’s stream key to start your live stream.You can create a channelmy_channel=ivs.Channel(self,"Channel")Importing an existing channelYou can reference an existing channel, for example, if you need to create a
stream key for an existing channelmy_channel=ivs.Channel.from_channel_arn(self,"Channel",my_channel_arn)Stream KeysA Stream Key is used by a broadcast encoder to initiate a stream and identify
to Amazon IVS which customer and channel the stream is for. If you are
storing this value, it should be treated as if it were a password.You can create a stream key for a given channelmy_stream_key=my_channel.add_stream_key("StreamKey")Private ChannelsAmazon IVS offers the ability to create private channels, allowing
you to restrict your streams by channel or viewer. You control access
to video playback by enabling playback authorization on channels and
generating signed JSON Web Tokens (JWTs) for authorized playback requests.A playback token is a JWT that you sign (with a playback authorization key)
and include with every playback request for a channel that has playback
authorization enabled.In order for Amazon IVS to validate the token, you need to upload
the public key that corresponds to the private key you use to sign the token.key_pair=ivs.PlaybackKeyPair(self,"PlaybackKeyPair",public_key_material=my_public_key_pem_string)Then, when creating a channel, specify the authorized propertymy_channel=ivs.Channel(self,"Channel",authorized=True)
Package: aws-cdk.aws-ivs-alpha
AWS::IVS Construct Library---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 theSemantic Versioningmodel 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.Amazon Interactive Video Service (Amazon IVS) is a managed live streaming
solution that is quick and easy to set up, and ideal for creating interactive
video experiences. Send your live streams to Amazon IVS using streaming software
and the service does everything you need to make low-latency live video
available to any viewer around the world, letting you focus on building
interactive experiences alongside the live video. You can easily customize and
enhance the audience experience through the Amazon IVS player SDK and timed
metadata APIs, allowing you to build a more valuable relationship with your
viewers on your own websites and applications.This module is part of theAWS Cloud Development Kitproject.ChannelsAn Amazon IVS channel stores configuration information related to your live
stream. You first create a channel and then contribute video to it using the
channel’s stream key to start your live stream.You can create a channelmy_channel=ivs.Channel(self,"Channel")Importing an existing channelYou can reference an existing channel, for example, if you need to create a
stream key for an existing channelmy_channel=ivs.Channel.from_channel_arn(self,"Channel",my_channel_arn)Stream KeysA Stream Key is used by a broadcast encoder to initiate a stream and identify
to Amazon IVS which customer and channel the stream is for. If you are
storing this value, it should be treated as if it were a password.You can create a stream key for a given channelmy_stream_key=my_channel.add_stream_key("StreamKey")Private ChannelsAmazon IVS offers the ability to create private channels, allowing
you to restrict your streams by channel or viewer. You control access
to video playback by enabling playback authorization on channels and
generating signed JSON Web Tokens (JWTs) for authorized playback requests.A playback token is a JWT that you sign (with a playback authorization key)
and include with every playback request for a channel that has playback
authorization enabled.In order for Amazon IVS to validate the token, you need to upload
the public key that corresponds to the private key you use to sign the token.key_pair=ivs.PlaybackKeyPair(self,"PlaybackKeyPair",public_key_material=my_public_key_pem_string)Then, when creating a channel, specify the authorized propertymy_channel=ivs.Channel(self,"Channel",authorized=True)
Package: aws-cdk.aws-ivschat
AWS::IVSChat Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_ivschatasivschatThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for IVSChat construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::IVSChat resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::IVSChat.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-kafkaconnect
AWS::KafkaConnect Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_kafkaconnectaskafkaconnectThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for KafkaConnect construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::KafkaConnect resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::KafkaConnect.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-kendra
AWS::Kendra Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_kendraaskendraThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for Kendra construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::Kendra resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::Kendra.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-kendraranking
AWS::KendraRanking Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_kendrarankingaskendrarankingThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for KendraRanking construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::KendraRanking resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::KendraRanking.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-kinesisanalytics
Amazon Kinesis Data Analytics Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_kinesisanalyticsaskinesisanalyticsThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for KinesisAnalytics construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::KinesisAnalytics resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::KinesisAnalytics.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-kinesisanalytics-flink
Kinesis Analytics Flink---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This package provides constructs for creating Kinesis Analytics Flink
applications. To learn more about using using managed Flink applications, see
theAWS developer
guide.Creating Flink ApplicationsTo create a new Flink application, use theApplicationconstruct:importpathaspathimportaws_cdk.coreascoreimportaws_cdk.aws_kinesisanalytics_flinkasflinkimportaws_cdk.aws_cloudwatchascloudwatchapp=core.App()stack=core.Stack(app,"FlinkAppTest")flink_app=flink.Application(stack,"App",code=flink.ApplicationCode.from_asset(path.join(__dirname,"code-asset")),runtime=flink.Runtime.FLINK_1_11)cloudwatch.Alarm(stack,"Alarm",metric=flink_app.metric_full_restarts(),evaluation_periods=1,threshold=3)app.synth()Thecodeproperty can usefromAssetas shown above to reference a local jar
file in s3 orfromBucketto reference a file in s3.importpathaspathimportaws_cdk.aws_s3_assetsasassetsimportaws_cdk.coreascoreimportaws_cdk.aws_kinesisanalytics_flinkasflinkapp=core.App()stack=core.Stack(app,"FlinkAppCodeFromBucketTest")asset=assets.Asset(stack,"CodeAsset",path=path.join(__dirname,"code-asset"))bucket=asset.bucketfile_key=asset.s3_object_keyflink.Application(stack,"App",code=flink.ApplicationCode.from_bucket(bucket,file_key),runtime=flink.Runtime.FLINK_1_11)app.synth()ThepropertyGroupsproperty provides a way of passing arbitrary runtime
properties to your Flink application. You can use the
aws-kinesisanalytics-runtime library toretrieve these
properties.# bucket: s3.Bucketflink_app=flink.Application(self,"Application",property_groups=flink.PropertyGroups(FlinkApplicationProperties={"input_stream_name":"my-input-kinesis-stream","output_stream_name":"my-output-kinesis-stream"}),# ...runtime=flink.Runtime.FLINK_1_13,code=flink.ApplicationCode.from_bucket(bucket,"my-app.jar"))Flink applications also have specific configuration for passing parameters
when the Flink job starts. These include parameters for checkpointing,
snapshotting, monitoring, and parallelism.# bucket: s3.Bucketflink_app=flink.Application(self,"Application",code=flink.ApplicationCode.from_bucket(bucket,"my-app.jar"),runtime=flink.Runtime.FLINK_1_13,checkpointing_enabled=True,# default is truecheckpoint_interval=Duration.seconds(30),# default is 1 minutemin_pause_between_checkpoints=Duration.seconds(10),# default is 5 secondslog_level=flink.LogLevel.ERROR,# default is INFOmetrics_level=flink.MetricsLevel.PARALLELISM,# default is APPLICATIONauto_scaling_enabled=False,# default is trueparallelism=32,# default is 1parallelism_per_kpu=2,# default is 1snapshots_enabled=False,# default is truelog_group=logs.LogGroup(self,"LogGroup"))
Package: aws-cdk.aws-kinesisanalyticsv2
AWS::KinesisAnalyticsV2 Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_kinesisanalyticsv2askinesisanalyticsThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for KinesisAnalyticsV2 construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::KinesisAnalyticsV2 resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::KinesisAnalyticsV2.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-kinesisfirehose-destinations
Amazon Kinesis Data Firehose Destinations Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This library provides constructs for adding destinations to a Amazon Kinesis Data Firehose
delivery stream. Destinations can be added by specifying thedestinationsprop when
defining a delivery stream.SeeAmazon Kinesis Data Firehose module READMEfor usage examples.importaws_cdk.aws_kinesisfirehose_destinationsasdestinations
Package: aws-cdk.aws-kinesisfirehose-destinations-alpha
Amazon Kinesis Data Firehose Destinations Library---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 theSemantic Versioningmodel 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.This library provides constructs for adding destinations to a Amazon Kinesis Data Firehose
delivery stream. Destinations can be added by specifying thedestinationsprop when
defining a delivery stream.SeeAmazon Kinesis Data Firehose module READMEfor usage examples.importaws_cdk.aws_kinesisfirehose_destinations_alphaasdestinations
Package: aws-cdk.aws-kinesisvideo
AWS::KinesisVideo Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_kinesisvideoaskinesisvideoThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for KinesisVideo construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::KinesisVideo resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::KinesisVideo.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)
Package: aws-cdk.aws-lakeformation
AWS::LakeFormation Construct Library---AWS CDK v1 has reached End-of-Support on 2023-06-01.
This package is no longer being updated, and users should migrate to AWS CDK v2.For more information on how to migrate, see theMigrating to AWS CDK v2guide.This module is part of theAWS Cloud Development Kitproject.importaws_cdk.aws_lakeformationaslakeformationThere are no official hand-written (L2) constructs for this service yet. Here are some suggestions on how to proceed:SearchConstruct Hub for LakeFormation construct librariesUse the automatically generatedL1constructs, in the same way you would usethe CloudFormation AWS::LakeFormation resourcesdirectly.There are no hand-written (L2) constructs for this service yet.
However, you can still use the automatically generatedL1constructs, and use this service exactly as you would using CloudFormation directly.For more information on the resources and properties available for this service, see theCloudFormation documentation for AWS::LakeFormation.(Read theCDK Contributing Guideand submit an RFC if you are interested in contributing to this construct library.)