IoTAnalytics

Table of Contents

Client

class IoTAnalytics.Client

A low-level client representing AWS IoT Analytics:

import boto3

client = boto3.client('iotanalytics')

These are the available methods:

batch_put_message(**kwargs)

Sends messages to a channel.

See also: AWS API Documentation

Request Syntax

response = client.batch_put_message(
    channelName='string',
    messages=[
        {
            'messageId': 'string',
            'payload': b'bytes'
        },
    ]
)
Parameters
  • channelName (string) --

    [REQUIRED]

    The name of the channel where the messages are sent.

  • messages (list) --

    [REQUIRED]

    The list of messages to be sent. Each message has format: '{ "messageId": "string", "payload": "string"}'.

    • (dict) --

      Information about a message.

      • messageId (string) -- [REQUIRED]

        The ID you wish to assign to the message.

      • payload (bytes) -- [REQUIRED]

        The payload of the message.

Return type

dict

Returns

Response Syntax

{
    'batchPutMessageErrorEntries': [
        {
            'messageId': 'string',
            'errorCode': 'string',
            'errorMessage': 'string'
        },
    ]
}

Response Structure

  • (dict) --

    • batchPutMessageErrorEntries (list) --

      A list of any errors encountered when sending the messages to the channel.

      • (dict) --

        Contains informations about errors.

        • messageId (string) --

          The ID of the message that caused the error. (See the value corresponding to the "messageId" key in the message object.)

        • errorCode (string) --

          The code associated with the error.

        • errorMessage (string) --

          The message associated with the error.

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Returns
True if the operation can be paginated, False otherwise.
cancel_pipeline_reprocessing(**kwargs)

Cancels the reprocessing of data through the pipeline.

See also: AWS API Documentation

Request Syntax

response = client.cancel_pipeline_reprocessing(
    pipelineName='string',
    reprocessingId='string'
)
Parameters
  • pipelineName (string) --

    [REQUIRED]

    The name of pipeline for which data reprocessing is canceled.

  • reprocessingId (string) --

    [REQUIRED]

    The ID of the reprocessing task (returned by "StartPipelineReprocessing").

Return type

dict

Returns

Response Syntax

{}

Response Structure

  • (dict) --

create_channel(**kwargs)

Creates a channel. A channel collects data from an MQTT topic and archives the raw, unprocessed messages before publishing the data to a pipeline.

See also: AWS API Documentation

Request Syntax

response = client.create_channel(
    channelName='string',
    retentionPeriod={
        'unlimited': True|False,
        'numberOfDays': 123
    }
)
Parameters
  • channelName (string) --

    [REQUIRED]

    The name of the channel.

  • retentionPeriod (dict) --

    How long, in days, message data is kept for the channel.

    • unlimited (boolean) --

      If true, message data is kept indefinitely.

    • numberOfDays (integer) --

      The number of days that message data is kept. The "unlimited" parameter must be false.

Return type

dict

Returns

Response Syntax

{
    'channelName': 'string',
    'channelArn': 'string',
    'retentionPeriod': {
        'unlimited': True|False,
        'numberOfDays': 123
    }
}

Response Structure

  • (dict) --

    • channelName (string) --

      The name of the channel.

    • channelArn (string) --

      The ARN of the channel.

    • retentionPeriod (dict) --

      How long, in days, message data is kept for the channel.

      • unlimited (boolean) --

        If true, message data is kept indefinitely.

      • numberOfDays (integer) --

        The number of days that message data is kept. The "unlimited" parameter must be false.

create_dataset(**kwargs)

Creates a data set. A data set stores data retrieved from a data store by applying an SQL action.

Note

This operation creates the skeleton of a data set. To populate the data set, call "CreateDatasetContent".

See also: AWS API Documentation

Request Syntax

response = client.create_dataset(
    datasetName='string',
    actions=[
        {
            'actionName': 'string',
            'queryAction': {
                'sqlQuery': 'string'
            }
        },
    ],
    triggers=[
        {
            'schedule': {
                'expression': 'string'
            }
        },
    ]
)
Parameters
  • datasetName (string) --

    [REQUIRED]

    The name of the data set.

  • actions (list) --

    [REQUIRED]

    A list of actions that create the data set. Only one action is supported at this time.

    • (dict) --

      A "DatasetAction" object specifying the query that creates the data set content.

      • actionName (string) --

        The name of the data set action.

      • queryAction (dict) --

        An "SqlQueryDatasetAction" object that contains the SQL query to modify the message.

        • sqlQuery (string) -- [REQUIRED]

          An SQL query string.

  • triggers (list) --

    A list of triggers. A trigger causes data set content to be populated at a specified time or time interval. The list of triggers can be empty or contain up to five DataSetTrigger objects.

    • (dict) --

      The "DatasetTrigger" that specifies when the data set is automatically updated.

      • schedule (dict) --

        The "Schedule" when the trigger is initiated.

        • expression (string) --

          The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.

Return type

dict

Returns

Response Syntax

{
    'datasetName': 'string',
    'datasetArn': 'string'
}

Response Structure

  • (dict) --

    • datasetName (string) --

      The name of the data set.

    • datasetArn (string) --

      The ARN of the data set.

create_dataset_content(**kwargs)

Creates the content of a data set by applying an SQL action.

See also: AWS API Documentation

Request Syntax

response = client.create_dataset_content(
    datasetName='string'
)
Parameters
datasetName (string) --

[REQUIRED]

The name of the data set.

Returns
None
create_datastore(**kwargs)

Creates a data store, which is a repository for messages.

See also: AWS API Documentation

Request Syntax

response = client.create_datastore(
    datastoreName='string',
    retentionPeriod={
        'unlimited': True|False,
        'numberOfDays': 123
    }
)
Parameters
  • datastoreName (string) --

    [REQUIRED]

    The name of the data store.

  • retentionPeriod (dict) --

    How long, in days, message data is kept for the data store.

    • unlimited (boolean) --

      If true, message data is kept indefinitely.

    • numberOfDays (integer) --

      The number of days that message data is kept. The "unlimited" parameter must be false.

Return type

dict

Returns

Response Syntax

{
    'datastoreName': 'string',
    'datastoreArn': 'string',
    'retentionPeriod': {
        'unlimited': True|False,
        'numberOfDays': 123
    }
}

Response Structure

  • (dict) --

    • datastoreName (string) --

      The name of the data store.

    • datastoreArn (string) --

      The ARN of the data store.

    • retentionPeriod (dict) --

      How long, in days, message data is kept for the data store.

      • unlimited (boolean) --

        If true, message data is kept indefinitely.

      • numberOfDays (integer) --

        The number of days that message data is kept. The "unlimited" parameter must be false.

create_pipeline(**kwargs)

Creates a pipeline. A pipeline consumes messages from one or more channels and allows you to process the messages before storing them in a data store.

See also: AWS API Documentation

Request Syntax

response = client.create_pipeline(
    pipelineName='string',
    pipelineActivities=[
        {
            'channel': {
                'name': 'string',
                'channelName': 'string',
                'next': 'string'
            },
            'lambda': {
                'name': 'string',
                'lambdaName': 'string',
                'batchSize': 123,
                'next': 'string'
            },
            'datastore': {
                'name': 'string',
                'datastoreName': 'string'
            },
            'addAttributes': {
                'name': 'string',
                'attributes': {
                    'string': 'string'
                },
                'next': 'string'
            },
            'removeAttributes': {
                'name': 'string',
                'attributes': [
                    'string',
                ],
                'next': 'string'
            },
            'selectAttributes': {
                'name': 'string',
                'attributes': [
                    'string',
                ],
                'next': 'string'
            },
            'filter': {
                'name': 'string',
                'filter': 'string',
                'next': 'string'
            },
            'math': {
                'name': 'string',
                'attribute': 'string',
                'math': 'string',
                'next': 'string'
            },
            'deviceRegistryEnrich': {
                'name': 'string',
                'attribute': 'string',
                'thingName': 'string',
                'roleArn': 'string',
                'next': 'string'
            },
            'deviceShadowEnrich': {
                'name': 'string',
                'attribute': 'string',
                'thingName': 'string',
                'roleArn': 'string',
                'next': 'string'
            }
        },
    ]
)
Parameters
  • pipelineName (string) --

    [REQUIRED]

    The name of the pipeline.

  • pipelineActivities (list) --

    [REQUIRED]

    A list of pipeline activities.

    The list can be 1-25 PipelineActivity objects. Activities perform transformations on your messages, such as removing, renaming, or adding message attributes; filtering messages based on attribute values; invoking your Lambda functions on messages for advanced processing; or performing mathematical transformations to normalize device data.

    • (dict) --

      An activity that performs a transformation on a message.

      • channel (dict) --

        Determines the source of the messages to be processed.

        • name (string) -- [REQUIRED]

          The name of the 'channel' activity.

        • channelName (string) -- [REQUIRED]

          The name of the channel from which the messages are processed.

        • next (string) --

          The next activity in the pipeline.

      • lambda (dict) --

        Runs a Lambda function to modify the message.

        • name (string) -- [REQUIRED]

          The name of the 'lambda' activity.

        • lambdaName (string) -- [REQUIRED]

          The name of the Lambda function that is run on the message.

        • batchSize (integer) -- [REQUIRED]

          The number of messages passed to the Lambda function for processing.

          The AWS Lambda function must be able to process all of these messages within five minutes, which is the maximum timeout duration for Lambda functions.

        • next (string) --

          The next activity in the pipeline.

      • datastore (dict) --

        Specifies where to store the processed message data.

        • name (string) -- [REQUIRED]

          The name of the 'datastore' activity.

        • datastoreName (string) -- [REQUIRED]

          The name of the data store where processed messages are stored.

      • addAttributes (dict) --

        Adds other attributes based on existing attributes in the message.

        • name (string) -- [REQUIRED]

          The name of the 'addAttributes' activity.

        • attributes (dict) -- [REQUIRED]

          A list of 1-50 "AttributeNameMapping" objects that map an existing attribute to a new attribute.

          Note

          The existing attributes remain in the message, so if you want to remove the originals, use "RemoveAttributeActivity".

          • (string) --
            • (string) --
        • next (string) --

          The next activity in the pipeline.

      • removeAttributes (dict) --

        Removes attributes from a message.

        • name (string) -- [REQUIRED]

          The name of the 'removeAttributes' activity.

        • attributes (list) -- [REQUIRED]

          A list of 1-50 attributes to remove from the message.

          • (string) --
        • next (string) --

          The next activity in the pipeline.

      • selectAttributes (dict) --

        Creates a new message using only the specified attributes from the original message.

        • name (string) -- [REQUIRED]

          The name of the 'selectAttributes' activity.

        • attributes (list) -- [REQUIRED]

          A list of the attributes to select from the message.

          • (string) --
        • next (string) --

          The next activity in the pipeline.

      • filter (dict) --

        Filters a message based on its attributes.

        • name (string) -- [REQUIRED]

          The name of the 'filter' activity.

        • filter (string) -- [REQUIRED]

          An expression that looks like an SQL WHERE clause that must return a Boolean value.

        • next (string) --

          The next activity in the pipeline.

      • math (dict) --

        Computes an arithmetic expression using the message's attributes and adds it to the message.

        • name (string) -- [REQUIRED]

          The name of the 'math' activity.

        • attribute (string) -- [REQUIRED]

          The name of the attribute that will contain the result of the math operation.

        • math (string) -- [REQUIRED]

          An expression that uses one or more existing attributes and must return an integer value.

        • next (string) --

          The next activity in the pipeline.

      • deviceRegistryEnrich (dict) --

        Adds data from the AWS IoT device registry to your message.

        • name (string) -- [REQUIRED]

          The name of the 'deviceRegistryEnrich' activity.

        • attribute (string) -- [REQUIRED]

          The name of the attribute that is added to the message.

        • thingName (string) -- [REQUIRED]

          The name of the IoT device whose registry information is added to the message.

        • roleArn (string) -- [REQUIRED]

          The ARN of the role that allows access to the device's registry information.

        • next (string) --

          The next activity in the pipeline.

      • deviceShadowEnrich (dict) --

        Adds information from the AWS IoT Device Shadows service to a message.

        • name (string) -- [REQUIRED]

          The name of the 'deviceShadowEnrich' activity.

        • attribute (string) -- [REQUIRED]

          The name of the attribute that is added to the message.

        • thingName (string) -- [REQUIRED]

          The name of the IoT device whose shadow information is added to the message.

        • roleArn (string) -- [REQUIRED]

          The ARN of the role that allows access to the device's shadow.

        • next (string) --

          The next activity in the pipeline.

Return type

dict

Returns

Response Syntax

{
    'pipelineName': 'string',
    'pipelineArn': 'string'
}

Response Structure

  • (dict) --

    • pipelineName (string) --

      The name of the pipeline.

    • pipelineArn (string) --

      The ARN of the pipeline.

delete_channel(**kwargs)

Deletes the specified channel.

See also: AWS API Documentation

Request Syntax

response = client.delete_channel(
    channelName='string'
)
Parameters
channelName (string) --

[REQUIRED]

The name of the channel to delete.

Returns
None
delete_dataset(**kwargs)

Deletes the specified data set.

You do not have to delete the content of the data set before you perform this operation.

See also: AWS API Documentation

Request Syntax

response = client.delete_dataset(
    datasetName='string'
)
Parameters
datasetName (string) --

[REQUIRED]

The name of the data set to delete.

Returns
None
delete_dataset_content(**kwargs)

Deletes the content of the specified data set.

See also: AWS API Documentation

Request Syntax

response = client.delete_dataset_content(
    datasetName='string',
    versionId='string'
)
Parameters
  • datasetName (string) --

    [REQUIRED]

    The name of the data set whose content is deleted.

  • versionId (string) -- The version of the data set whose content is deleted. You can also use the strings "$LATEST" or "$LATEST_SUCCEEDED" to delete the latest or latest successfully completed data set. If not specified, "$LATEST_SUCCEEDED" is the default.
Returns

None

delete_datastore(**kwargs)

Deletes the specified data store.

See also: AWS API Documentation

Request Syntax

response = client.delete_datastore(
    datastoreName='string'
)
Parameters
datastoreName (string) --

[REQUIRED]

The name of the data store to delete.

Returns
None
delete_pipeline(**kwargs)

Deletes the specified pipeline.

See also: AWS API Documentation

Request Syntax

response = client.delete_pipeline(
    pipelineName='string'
)
Parameters
pipelineName (string) --

[REQUIRED]

The name of the pipeline to delete.

Returns
None
describe_channel(**kwargs)

Retrieves information about a channel.

See also: AWS API Documentation

Request Syntax

response = client.describe_channel(
    channelName='string'
)
Parameters
channelName (string) --

[REQUIRED]

The name of the channel whose information is retrieved.

Return type
dict
Returns
Response Syntax
{
    'channel': {
        'name': 'string',
        'arn': 'string',
        'status': 'CREATING'|'ACTIVE'|'DELETING',
        'retentionPeriod': {
            'unlimited': True|False,
            'numberOfDays': 123
        },
        'creationTime': datetime(2015, 1, 1),
        'lastUpdateTime': datetime(2015, 1, 1)
    }
}

Response Structure

  • (dict) --
    • channel (dict) --

      An object that contains information about the channel.

      • name (string) --

        The name of the channel.

      • arn (string) --

        The ARN of the channel.

      • status (string) --

        The status of the channel.

      • retentionPeriod (dict) --

        How long, in days, message data is kept for the channel.

        • unlimited (boolean) --

          If true, message data is kept indefinitely.

        • numberOfDays (integer) --

          The number of days that message data is kept. The "unlimited" parameter must be false.

      • creationTime (datetime) --

        When the channel was created.

      • lastUpdateTime (datetime) --

        When the channel was last updated.

describe_dataset(**kwargs)

Retrieves information about a data set.

See also: AWS API Documentation

Request Syntax

response = client.describe_dataset(
    datasetName='string'
)
Parameters
datasetName (string) --

[REQUIRED]

The name of the data set whose information is retrieved.

Return type
dict
Returns
Response Syntax
{
    'dataset': {
        'name': 'string',
        'arn': 'string',
        'actions': [
            {
                'actionName': 'string',
                'queryAction': {
                    'sqlQuery': 'string'
                }
            },
        ],
        'triggers': [
            {
                'schedule': {
                    'expression': 'string'
                }
            },
        ],
        'status': 'CREATING'|'ACTIVE'|'DELETING',
        'creationTime': datetime(2015, 1, 1),
        'lastUpdateTime': datetime(2015, 1, 1)
    }
}

Response Structure

  • (dict) --
    • dataset (dict) --

      An object that contains information about the data set.

      • name (string) --

        The name of the data set.

      • arn (string) --

        The ARN of the data set.

      • actions (list) --

        The "DatasetAction" objects that create the data set.

        • (dict) --

          A "DatasetAction" object specifying the query that creates the data set content.

          • actionName (string) --

            The name of the data set action.

          • queryAction (dict) --

            An "SqlQueryDatasetAction" object that contains the SQL query to modify the message.

            • sqlQuery (string) --

              An SQL query string.

      • triggers (list) --

        The "DatasetTrigger" objects that specify when the data set is automatically updated.

        • (dict) --

          The "DatasetTrigger" that specifies when the data set is automatically updated.

          • schedule (dict) --

            The "Schedule" when the trigger is initiated.

            • expression (string) --

              The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.

      • status (string) --

        The status of the data set.

      • creationTime (datetime) --

        When the data set was created.

      • lastUpdateTime (datetime) --

        The last time the data set was updated.

describe_datastore(**kwargs)

Retrieves information about a data store.

See also: AWS API Documentation

Request Syntax

response = client.describe_datastore(
    datastoreName='string'
)
Parameters
datastoreName (string) --

[REQUIRED]

The name of the data store

Return type
dict
Returns
Response Syntax
{
    'datastore': {
        'name': 'string',
        'arn': 'string',
        'status': 'CREATING'|'ACTIVE'|'DELETING',
        'retentionPeriod': {
            'unlimited': True|False,
            'numberOfDays': 123
        },
        'creationTime': datetime(2015, 1, 1),
        'lastUpdateTime': datetime(2015, 1, 1)
    }
}

Response Structure

  • (dict) --
    • datastore (dict) --

      Information about the data store.

      • name (string) --

        The name of the data store.

      • arn (string) --

        The ARN of the data store.

      • status (string) --

        The status of a data store:

        CREATING

        The data store is being created.

        ACTIVE

        The data store has been created and can be used.

        DELETING

        The data store is being deleted.

      • retentionPeriod (dict) --

        How long, in days, message data is kept for the data store.

        • unlimited (boolean) --

          If true, message data is kept indefinitely.

        • numberOfDays (integer) --

          The number of days that message data is kept. The "unlimited" parameter must be false.

      • creationTime (datetime) --

        When the data store was created.

      • lastUpdateTime (datetime) --

        The last time the data store was updated.

describe_logging_options()

Retrieves the current settings of the AWS IoT Analytics logging options.

See also: AWS API Documentation

Request Syntax

response = client.describe_logging_options()
Return type
dict
Returns
Response Syntax
{
    'loggingOptions': {
        'roleArn': 'string',
        'level': 'ERROR',
        'enabled': True|False
    }
}

Response Structure

  • (dict) --
    • loggingOptions (dict) --

      The current settings of the AWS IoT Analytics logging options.

      • roleArn (string) --

        The ARN of the role that grants permission to AWS IoT Analytics to perform logging.

      • level (string) --

        The logging level. Currently, only "ERROR" is supported.

      • enabled (boolean) --

        If true, logging is enabled for AWS IoT Analytics.

describe_pipeline(**kwargs)

Retrieves information about a pipeline.

See also: AWS API Documentation

Request Syntax

response = client.describe_pipeline(
    pipelineName='string'
)
Parameters
pipelineName (string) --

[REQUIRED]

The name of the pipeline whose information is retrieved.

Return type
dict
Returns
Response Syntax
{
    'pipeline': {
        'name': 'string',
        'arn': 'string',
        'activities': [
            {
                'channel': {
                    'name': 'string',
                    'channelName': 'string',
                    'next': 'string'
                },
                'lambda': {
                    'name': 'string',
                    'lambdaName': 'string',
                    'batchSize': 123,
                    'next': 'string'
                },
                'datastore': {
                    'name': 'string',
                    'datastoreName': 'string'
                },
                'addAttributes': {
                    'name': 'string',
                    'attributes': {
                        'string': 'string'
                    },
                    'next': 'string'
                },
                'removeAttributes': {
                    'name': 'string',
                    'attributes': [
                        'string',
                    ],
                    'next': 'string'
                },
                'selectAttributes': {
                    'name': 'string',
                    'attributes': [
                        'string',
                    ],
                    'next': 'string'
                },
                'filter': {
                    'name': 'string',
                    'filter': 'string',
                    'next': 'string'
                },
                'math': {
                    'name': 'string',
                    'attribute': 'string',
                    'math': 'string',
                    'next': 'string'
                },
                'deviceRegistryEnrich': {
                    'name': 'string',
                    'attribute': 'string',
                    'thingName': 'string',
                    'roleArn': 'string',
                    'next': 'string'
                },
                'deviceShadowEnrich': {
                    'name': 'string',
                    'attribute': 'string',
                    'thingName': 'string',
                    'roleArn': 'string',
                    'next': 'string'
                }
            },
        ],
        'reprocessingSummaries': [
            {
                'id': 'string',
                'status': 'RUNNING'|'SUCCEEDED'|'CANCELLED'|'FAILED',
                'creationTime': datetime(2015, 1, 1)
            },
        ],
        'creationTime': datetime(2015, 1, 1),
        'lastUpdateTime': datetime(2015, 1, 1)
    }
}

Response Structure

  • (dict) --
    • pipeline (dict) --

      A "Pipeline" object that contains information about the pipeline.

      • name (string) --

        The name of the pipeline.

      • arn (string) --

        The ARN of the pipeline.

      • activities (list) --

        The activities that perform transformations on the messages.

        • (dict) --

          An activity that performs a transformation on a message.

          • channel (dict) --

            Determines the source of the messages to be processed.

            • name (string) --

              The name of the 'channel' activity.

            • channelName (string) --

              The name of the channel from which the messages are processed.

            • next (string) --

              The next activity in the pipeline.

          • lambda (dict) --

            Runs a Lambda function to modify the message.

            • name (string) --

              The name of the 'lambda' activity.

            • lambdaName (string) --

              The name of the Lambda function that is run on the message.

            • batchSize (integer) --

              The number of messages passed to the Lambda function for processing.

              The AWS Lambda function must be able to process all of these messages within five minutes, which is the maximum timeout duration for Lambda functions.

            • next (string) --

              The next activity in the pipeline.

          • datastore (dict) --

            Specifies where to store the processed message data.

            • name (string) --

              The name of the 'datastore' activity.

            • datastoreName (string) --

              The name of the data store where processed messages are stored.

          • addAttributes (dict) --

            Adds other attributes based on existing attributes in the message.

            • name (string) --

              The name of the 'addAttributes' activity.

            • attributes (dict) --

              A list of 1-50 "AttributeNameMapping" objects that map an existing attribute to a new attribute.

              Note

              The existing attributes remain in the message, so if you want to remove the originals, use "RemoveAttributeActivity".

              • (string) --
                • (string) --
            • next (string) --

              The next activity in the pipeline.

          • removeAttributes (dict) --

            Removes attributes from a message.

            • name (string) --

              The name of the 'removeAttributes' activity.

            • attributes (list) --

              A list of 1-50 attributes to remove from the message.

              • (string) --
            • next (string) --

              The next activity in the pipeline.

          • selectAttributes (dict) --

            Creates a new message using only the specified attributes from the original message.

            • name (string) --

              The name of the 'selectAttributes' activity.

            • attributes (list) --

              A list of the attributes to select from the message.

              • (string) --
            • next (string) --

              The next activity in the pipeline.

          • filter (dict) --

            Filters a message based on its attributes.

            • name (string) --

              The name of the 'filter' activity.

            • filter (string) --

              An expression that looks like an SQL WHERE clause that must return a Boolean value.

            • next (string) --

              The next activity in the pipeline.

          • math (dict) --

            Computes an arithmetic expression using the message's attributes and adds it to the message.

            • name (string) --

              The name of the 'math' activity.

            • attribute (string) --

              The name of the attribute that will contain the result of the math operation.

            • math (string) --

              An expression that uses one or more existing attributes and must return an integer value.

            • next (string) --

              The next activity in the pipeline.

          • deviceRegistryEnrich (dict) --

            Adds data from the AWS IoT device registry to your message.

            • name (string) --

              The name of the 'deviceRegistryEnrich' activity.

            • attribute (string) --

              The name of the attribute that is added to the message.

            • thingName (string) --

              The name of the IoT device whose registry information is added to the message.

            • roleArn (string) --

              The ARN of the role that allows access to the device's registry information.

            • next (string) --

              The next activity in the pipeline.

          • deviceShadowEnrich (dict) --

            Adds information from the AWS IoT Device Shadows service to a message.

            • name (string) --

              The name of the 'deviceShadowEnrich' activity.

            • attribute (string) --

              The name of the attribute that is added to the message.

            • thingName (string) --

              The name of the IoT device whose shadow information is added to the message.

            • roleArn (string) --

              The ARN of the role that allows access to the device's shadow.

            • next (string) --

              The next activity in the pipeline.

      • reprocessingSummaries (list) --

        A summary of information about the pipeline reprocessing.

        • (dict) --

          Information about pipeline reprocessing.

          • id (string) --

            The 'reprocessingId' returned by "StartPipelineReprocessing".

          • status (string) --

            The status of the pipeline reprocessing.

          • creationTime (datetime) --

            The time the pipeline reprocessing was created.

      • creationTime (datetime) --

        When the pipeline was created.

      • lastUpdateTime (datetime) --

        The last time the pipeline was updated.

generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters
  • ClientMethod (string) -- The client method to presign for
  • Params (dict) -- The parameters normally passed to ClientMethod.
  • ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
  • HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.
Returns

The presigned url

get_dataset_content(**kwargs)

Retrieves the contents of a data set as pre-signed URIs.

See also: AWS API Documentation

Request Syntax

response = client.get_dataset_content(
    datasetName='string',
    versionId='string'
)
Parameters
  • datasetName (string) --

    [REQUIRED]

    The name of the data set whose contents are retrieved.

  • versionId (string) -- The version of the data set whose contents are retrieved. You can also use the strings "$LATEST" or "$LATEST_SUCCEEDED" to retrieve the contents of the latest or latest successfully completed data set. If not specified, "$LATEST_SUCCEEDED" is the default.
Return type

dict

Returns

Response Syntax

{
    'entries': [
        {
            'entryName': 'string',
            'dataURI': 'string'
        },
    ],
    'timestamp': datetime(2015, 1, 1),
    'status': {
        'state': 'CREATING'|'SUCCEEDED'|'FAILED',
        'reason': 'string'
    }
}

Response Structure

  • (dict) --

    • entries (list) --

      A list of "DatasetEntry" objects.

      • (dict) --

        The reference to a data set entry.

        • entryName (string) --

          The name of the data set item.

        • dataURI (string) --

          The pre-signed URI of the data set item.

    • timestamp (datetime) --

      The time when the request was made.

    • status (dict) --

      The status of the data set content.

      • state (string) --

        The state of the data set. Can be one of "CREATING", "SUCCEEDED" or "FAILED".

      • reason (string) --

        The reason the data set is in this state.

get_paginator(operation_name)

Create a paginator for an operation.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Raises OperationNotPageableError
Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.
Return type
L{botocore.paginate.Paginator}
Returns
A paginator object.
get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters
waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.
Returns
The specified waiter object.
Return type
botocore.waiter.Waiter
list_channels(**kwargs)

Retrieves a list of channels.

See also: AWS API Documentation

Request Syntax

response = client.list_channels(
    nextToken='string',
    maxResults=123
)
Parameters
  • nextToken (string) -- The token for the next set of results.
  • maxResults (integer) --

    The maximum number of results to return in this request.

    The default value is 100.

Return type

dict

Returns

Response Syntax

{
    'channelSummaries': [
        {
            'channelName': 'string',
            'status': 'CREATING'|'ACTIVE'|'DELETING',
            'creationTime': datetime(2015, 1, 1),
            'lastUpdateTime': datetime(2015, 1, 1)
        },
    ],
    'nextToken': 'string'
}

Response Structure

  • (dict) --

    • channelSummaries (list) --

      A list of "ChannelSummary" objects.

      • (dict) --

        A summary of information about a channel.

        • channelName (string) --

          The name of the channel.

        • status (string) --

          The status of the channel.

        • creationTime (datetime) --

          When the channel was created.

        • lastUpdateTime (datetime) --

          The last time the channel was updated.

    • nextToken (string) --

      The token to retrieve the next set of results, or null if there are no more results.

list_datasets(**kwargs)

Retrieves information about data sets.

See also: AWS API Documentation

Request Syntax

response = client.list_datasets(
    nextToken='string',
    maxResults=123
)
Parameters
  • nextToken (string) -- The token for the next set of results.
  • maxResults (integer) --

    The maximum number of results to return in this request.

    The default value is 100.

Return type

dict

Returns

Response Syntax

{
    'datasetSummaries': [
        {
            'datasetName': 'string',
            'status': 'CREATING'|'ACTIVE'|'DELETING',
            'creationTime': datetime(2015, 1, 1),
            'lastUpdateTime': datetime(2015, 1, 1)
        },
    ],
    'nextToken': 'string'
}

Response Structure

  • (dict) --

    • datasetSummaries (list) --

      A list of "DatasetSummary" objects.

      • (dict) --

        A summary of information about a data set.

        • datasetName (string) --

          The name of the data set.

        • status (string) --

          The status of the data set.

        • creationTime (datetime) --

          The time the data set was created.

        • lastUpdateTime (datetime) --

          The last time the data set was updated.

    • nextToken (string) --

      The token to retrieve the next set of results, or null if there are no more results.

list_datastores(**kwargs)

Retrieves a list of data stores.

See also: AWS API Documentation

Request Syntax

response = client.list_datastores(
    nextToken='string',
    maxResults=123
)
Parameters
  • nextToken (string) -- The token for the next set of results.
  • maxResults (integer) --

    The maximum number of results to return in this request.

    The default value is 100.

Return type

dict

Returns

Response Syntax

{
    'datastoreSummaries': [
        {
            'datastoreName': 'string',
            'status': 'CREATING'|'ACTIVE'|'DELETING',
            'creationTime': datetime(2015, 1, 1),
            'lastUpdateTime': datetime(2015, 1, 1)
        },
    ],
    'nextToken': 'string'
}

Response Structure

  • (dict) --

    • datastoreSummaries (list) --

      A list of "DatastoreSummary" objects.

      • (dict) --

        A summary of information about a data store.

        • datastoreName (string) --

          The name of the data store.

        • status (string) --

          The status of the data store.

        • creationTime (datetime) --

          When the data store was created.

        • lastUpdateTime (datetime) --

          The last time the data store was updated.

    • nextToken (string) --

      The token to retrieve the next set of results, or null if there are no more results.

list_pipelines(**kwargs)

Retrieves a list of pipelines.

See also: AWS API Documentation

Request Syntax

response = client.list_pipelines(
    nextToken='string',
    maxResults=123
)
Parameters
  • nextToken (string) -- The token for the next set of results.
  • maxResults (integer) --

    The maximum number of results to return in this request.

    The default value is 100.

Return type

dict

Returns

Response Syntax

{
    'pipelineSummaries': [
        {
            'pipelineName': 'string',
            'reprocessingSummaries': [
                {
                    'id': 'string',
                    'status': 'RUNNING'|'SUCCEEDED'|'CANCELLED'|'FAILED',
                    'creationTime': datetime(2015, 1, 1)
                },
            ],
            'creationTime': datetime(2015, 1, 1),
            'lastUpdateTime': datetime(2015, 1, 1)
        },
    ],
    'nextToken': 'string'
}

Response Structure

  • (dict) --

    • pipelineSummaries (list) --

      A list of "PipelineSummary" objects.

      • (dict) --

        A summary of information about a pipeline.

        • pipelineName (string) --

          The name of the pipeline.

        • reprocessingSummaries (list) --

          A summary of information about the pipeline reprocessing.

          • (dict) --

            Information about pipeline reprocessing.

            • id (string) --

              The 'reprocessingId' returned by "StartPipelineReprocessing".

            • status (string) --

              The status of the pipeline reprocessing.

            • creationTime (datetime) --

              The time the pipeline reprocessing was created.

        • creationTime (datetime) --

          When the pipeline was created.

        • lastUpdateTime (datetime) --

          When the pipeline was last updated.

    • nextToken (string) --

      The token to retrieve the next set of results, or null if there are no more results.

put_logging_options(**kwargs)

Sets or updates the AWS IoT Analytics logging options.

See also: AWS API Documentation

Request Syntax

response = client.put_logging_options(
    loggingOptions={
        'roleArn': 'string',
        'level': 'ERROR',
        'enabled': True|False
    }
)
Parameters
loggingOptions (dict) --

[REQUIRED]

The new values of the AWS IoT Analytics logging options.

  • roleArn (string) -- [REQUIRED]

    The ARN of the role that grants permission to AWS IoT Analytics to perform logging.

  • level (string) -- [REQUIRED]

    The logging level. Currently, only "ERROR" is supported.

  • enabled (boolean) -- [REQUIRED]

    If true, logging is enabled for AWS IoT Analytics.

Returns
None
run_pipeline_activity(**kwargs)

Simulates the results of running a pipeline activity on a message payload.

See also: AWS API Documentation

Request Syntax

response = client.run_pipeline_activity(
    pipelineActivity={
        'channel': {
            'name': 'string',
            'channelName': 'string',
            'next': 'string'
        },
        'lambda': {
            'name': 'string',
            'lambdaName': 'string',
            'batchSize': 123,
            'next': 'string'
        },
        'datastore': {
            'name': 'string',
            'datastoreName': 'string'
        },
        'addAttributes': {
            'name': 'string',
            'attributes': {
                'string': 'string'
            },
            'next': 'string'
        },
        'removeAttributes': {
            'name': 'string',
            'attributes': [
                'string',
            ],
            'next': 'string'
        },
        'selectAttributes': {
            'name': 'string',
            'attributes': [
                'string',
            ],
            'next': 'string'
        },
        'filter': {
            'name': 'string',
            'filter': 'string',
            'next': 'string'
        },
        'math': {
            'name': 'string',
            'attribute': 'string',
            'math': 'string',
            'next': 'string'
        },
        'deviceRegistryEnrich': {
            'name': 'string',
            'attribute': 'string',
            'thingName': 'string',
            'roleArn': 'string',
            'next': 'string'
        },
        'deviceShadowEnrich': {
            'name': 'string',
            'attribute': 'string',
            'thingName': 'string',
            'roleArn': 'string',
            'next': 'string'
        }
    },
    payloads=[
        b'bytes',
    ]
)
Parameters
  • pipelineActivity (dict) --

    [REQUIRED]

    The pipeline activity that is run. This must not be a 'channel' activity or a 'datastore' activity because these activities are used in a pipeline only to load the original message and to store the (possibly) transformed message. If a 'lambda' activity is specified, only short-running Lambda functions (those with a timeout of less than 30 seconds or less) can be used.

    • channel (dict) --

      Determines the source of the messages to be processed.

      • name (string) -- [REQUIRED]

        The name of the 'channel' activity.

      • channelName (string) -- [REQUIRED]

        The name of the channel from which the messages are processed.

      • next (string) --

        The next activity in the pipeline.

    • lambda (dict) --

      Runs a Lambda function to modify the message.

      • name (string) -- [REQUIRED]

        The name of the 'lambda' activity.

      • lambdaName (string) -- [REQUIRED]

        The name of the Lambda function that is run on the message.

      • batchSize (integer) -- [REQUIRED]

        The number of messages passed to the Lambda function for processing.

        The AWS Lambda function must be able to process all of these messages within five minutes, which is the maximum timeout duration for Lambda functions.

      • next (string) --

        The next activity in the pipeline.

    • datastore (dict) --

      Specifies where to store the processed message data.

      • name (string) -- [REQUIRED]

        The name of the 'datastore' activity.

      • datastoreName (string) -- [REQUIRED]

        The name of the data store where processed messages are stored.

    • addAttributes (dict) --

      Adds other attributes based on existing attributes in the message.

      • name (string) -- [REQUIRED]

        The name of the 'addAttributes' activity.

      • attributes (dict) -- [REQUIRED]

        A list of 1-50 "AttributeNameMapping" objects that map an existing attribute to a new attribute.

        Note

        The existing attributes remain in the message, so if you want to remove the originals, use "RemoveAttributeActivity".

        • (string) --
          • (string) --
      • next (string) --

        The next activity in the pipeline.

    • removeAttributes (dict) --

      Removes attributes from a message.

      • name (string) -- [REQUIRED]

        The name of the 'removeAttributes' activity.

      • attributes (list) -- [REQUIRED]

        A list of 1-50 attributes to remove from the message.

        • (string) --
      • next (string) --

        The next activity in the pipeline.

    • selectAttributes (dict) --

      Creates a new message using only the specified attributes from the original message.

      • name (string) -- [REQUIRED]

        The name of the 'selectAttributes' activity.

      • attributes (list) -- [REQUIRED]

        A list of the attributes to select from the message.

        • (string) --
      • next (string) --

        The next activity in the pipeline.

    • filter (dict) --

      Filters a message based on its attributes.

      • name (string) -- [REQUIRED]

        The name of the 'filter' activity.

      • filter (string) -- [REQUIRED]

        An expression that looks like an SQL WHERE clause that must return a Boolean value.

      • next (string) --

        The next activity in the pipeline.

    • math (dict) --

      Computes an arithmetic expression using the message's attributes and adds it to the message.

      • name (string) -- [REQUIRED]

        The name of the 'math' activity.

      • attribute (string) -- [REQUIRED]

        The name of the attribute that will contain the result of the math operation.

      • math (string) -- [REQUIRED]

        An expression that uses one or more existing attributes and must return an integer value.

      • next (string) --

        The next activity in the pipeline.

    • deviceRegistryEnrich (dict) --

      Adds data from the AWS IoT device registry to your message.

      • name (string) -- [REQUIRED]

        The name of the 'deviceRegistryEnrich' activity.

      • attribute (string) -- [REQUIRED]

        The name of the attribute that is added to the message.

      • thingName (string) -- [REQUIRED]

        The name of the IoT device whose registry information is added to the message.

      • roleArn (string) -- [REQUIRED]

        The ARN of the role that allows access to the device's registry information.

      • next (string) --

        The next activity in the pipeline.

    • deviceShadowEnrich (dict) --

      Adds information from the AWS IoT Device Shadows service to a message.

      • name (string) -- [REQUIRED]

        The name of the 'deviceShadowEnrich' activity.

      • attribute (string) -- [REQUIRED]

        The name of the attribute that is added to the message.

      • thingName (string) -- [REQUIRED]

        The name of the IoT device whose shadow information is added to the message.

      • roleArn (string) -- [REQUIRED]

        The ARN of the role that allows access to the device's shadow.

      • next (string) --

        The next activity in the pipeline.

  • payloads (list) --

    [REQUIRED]

    The sample message payloads on which the pipeline activity is run.

    • (bytes) --
Return type

dict

Returns

Response Syntax

{
    'payloads': [
        b'bytes',
    ],
    'logResult': 'string'
}

Response Structure

  • (dict) --

    • payloads (list) --

      The enriched or transformed sample message payloads as base64-encoded strings. (The results of running the pipeline activity on each input sample message payload, encoded in base64.)

      • (bytes) --
    • logResult (string) --

      In case the pipeline activity fails, the log message that is generated.

sample_channel_data(**kwargs)

Retrieves a sample of messages from the specified channel ingested during the specified timeframe. Up to 10 messages can be retrieved.

See also: AWS API Documentation

Request Syntax

response = client.sample_channel_data(
    channelName='string',
    maxMessages=123,
    startTime=datetime(2015, 1, 1),
    endTime=datetime(2015, 1, 1)
)
Parameters
  • channelName (string) --

    [REQUIRED]

    The name of the channel whose message samples are retrieved.

  • maxMessages (integer) -- The number of sample messages to be retrieved. The limit is 10, the default is also 10.
  • startTime (datetime) -- The start of the time window from which sample messages are retrieved.
  • endTime (datetime) -- The end of the time window from which sample messages are retrieved.
Return type

dict

Returns

Response Syntax

{
    'payloads': [
        b'bytes',
    ]
}

Response Structure

  • (dict) --

    • payloads (list) --

      The list of message samples. Each sample message is returned as a base64-encoded string.

      • (bytes) --

start_pipeline_reprocessing(**kwargs)

Starts the reprocessing of raw message data through the pipeline.

See also: AWS API Documentation

Request Syntax

response = client.start_pipeline_reprocessing(
    pipelineName='string',
    startTime=datetime(2015, 1, 1),
    endTime=datetime(2015, 1, 1)
)
Parameters
  • pipelineName (string) --

    [REQUIRED]

    The name of the pipeline on which to start reprocessing.

  • startTime (datetime) -- The start time (inclusive) of raw message data that is reprocessed.
  • endTime (datetime) -- The end time (exclusive) of raw message data that is reprocessed.
Return type

dict

Returns

Response Syntax

{
    'reprocessingId': 'string'
}

Response Structure

  • (dict) --

    • reprocessingId (string) --

      The ID of the pipeline reprocessing activity that was started.

update_channel(**kwargs)

Updates the settings of a channel.

See also: AWS API Documentation

Request Syntax

response = client.update_channel(
    channelName='string',
    retentionPeriod={
        'unlimited': True|False,
        'numberOfDays': 123
    }
)
Parameters
  • channelName (string) --

    [REQUIRED]

    The name of the channel to be updated.

  • retentionPeriod (dict) --

    How long, in days, message data is kept for the channel.

    • unlimited (boolean) --

      If true, message data is kept indefinitely.

    • numberOfDays (integer) --

      The number of days that message data is kept. The "unlimited" parameter must be false.

Returns

None

update_dataset(**kwargs)

Updates the settings of a data set.

See also: AWS API Documentation

Request Syntax

response = client.update_dataset(
    datasetName='string',
    actions=[
        {
            'actionName': 'string',
            'queryAction': {
                'sqlQuery': 'string'
            }
        },
    ],
    triggers=[
        {
            'schedule': {
                'expression': 'string'
            }
        },
    ]
)
Parameters
  • datasetName (string) --

    [REQUIRED]

    The name of the data set to update.

  • actions (list) --

    [REQUIRED]

    A list of "DatasetAction" objects. Only one action is supported at this time.

    • (dict) --

      A "DatasetAction" object specifying the query that creates the data set content.

      • actionName (string) --

        The name of the data set action.

      • queryAction (dict) --

        An "SqlQueryDatasetAction" object that contains the SQL query to modify the message.

        • sqlQuery (string) -- [REQUIRED]

          An SQL query string.

  • triggers (list) --

    A list of "DatasetTrigger" objects. The list can be empty or can contain up to five DataSetTrigger objects.

    • (dict) --

      The "DatasetTrigger" that specifies when the data set is automatically updated.

      • schedule (dict) --

        The "Schedule" when the trigger is initiated.

        • expression (string) --

          The expression that defines when to trigger an update. For more information, see Schedule Expressions for Rules in the Amazon CloudWatch documentation.

Returns

None

update_datastore(**kwargs)

Updates the settings of a data store.

See also: AWS API Documentation

Request Syntax

response = client.update_datastore(
    datastoreName='string',
    retentionPeriod={
        'unlimited': True|False,
        'numberOfDays': 123
    }
)
Parameters
  • datastoreName (string) --

    [REQUIRED]

    The name of the data store to be updated.

  • retentionPeriod (dict) --

    How long, in days, message data is kept for the data store.

    • unlimited (boolean) --

      If true, message data is kept indefinitely.

    • numberOfDays (integer) --

      The number of days that message data is kept. The "unlimited" parameter must be false.

Returns

None

update_pipeline(**kwargs)

Updates the settings of a pipeline.

See also: AWS API Documentation

Request Syntax

response = client.update_pipeline(
    pipelineName='string',
    pipelineActivities=[
        {
            'channel': {
                'name': 'string',
                'channelName': 'string',
                'next': 'string'
            },
            'lambda': {
                'name': 'string',
                'lambdaName': 'string',
                'batchSize': 123,
                'next': 'string'
            },
            'datastore': {
                'name': 'string',
                'datastoreName': 'string'
            },
            'addAttributes': {
                'name': 'string',
                'attributes': {
                    'string': 'string'
                },
                'next': 'string'
            },
            'removeAttributes': {
                'name': 'string',
                'attributes': [
                    'string',
                ],
                'next': 'string'
            },
            'selectAttributes': {
                'name': 'string',
                'attributes': [
                    'string',
                ],
                'next': 'string'
            },
            'filter': {
                'name': 'string',
                'filter': 'string',
                'next': 'string'
            },
            'math': {
                'name': 'string',
                'attribute': 'string',
                'math': 'string',
                'next': 'string'
            },
            'deviceRegistryEnrich': {
                'name': 'string',
                'attribute': 'string',
                'thingName': 'string',
                'roleArn': 'string',
                'next': 'string'
            },
            'deviceShadowEnrich': {
                'name': 'string',
                'attribute': 'string',
                'thingName': 'string',
                'roleArn': 'string',
                'next': 'string'
            }
        },
    ]
)
Parameters
  • pipelineName (string) --

    [REQUIRED]

    The name of the pipeline to update.

  • pipelineActivities (list) --

    [REQUIRED]

    A list of "PipelineActivity" objects.

    The list can be 1-25 PipelineActivity objects. Activities perform transformations on your messages, such as removing, renaming or adding message attributes; filtering messages based on attribute values; invoking your Lambda functions on messages for advanced processing; or performing mathematical transformations to normalize device data.

    • (dict) --

      An activity that performs a transformation on a message.

      • channel (dict) --

        Determines the source of the messages to be processed.

        • name (string) -- [REQUIRED]

          The name of the 'channel' activity.

        • channelName (string) -- [REQUIRED]

          The name of the channel from which the messages are processed.

        • next (string) --

          The next activity in the pipeline.

      • lambda (dict) --

        Runs a Lambda function to modify the message.

        • name (string) -- [REQUIRED]

          The name of the 'lambda' activity.

        • lambdaName (string) -- [REQUIRED]

          The name of the Lambda function that is run on the message.

        • batchSize (integer) -- [REQUIRED]

          The number of messages passed to the Lambda function for processing.

          The AWS Lambda function must be able to process all of these messages within five minutes, which is the maximum timeout duration for Lambda functions.

        • next (string) --

          The next activity in the pipeline.

      • datastore (dict) --

        Specifies where to store the processed message data.

        • name (string) -- [REQUIRED]

          The name of the 'datastore' activity.

        • datastoreName (string) -- [REQUIRED]

          The name of the data store where processed messages are stored.

      • addAttributes (dict) --

        Adds other attributes based on existing attributes in the message.

        • name (string) -- [REQUIRED]

          The name of the 'addAttributes' activity.

        • attributes (dict) -- [REQUIRED]

          A list of 1-50 "AttributeNameMapping" objects that map an existing attribute to a new attribute.

          Note

          The existing attributes remain in the message, so if you want to remove the originals, use "RemoveAttributeActivity".

          • (string) --
            • (string) --
        • next (string) --

          The next activity in the pipeline.

      • removeAttributes (dict) --

        Removes attributes from a message.

        • name (string) -- [REQUIRED]

          The name of the 'removeAttributes' activity.

        • attributes (list) -- [REQUIRED]

          A list of 1-50 attributes to remove from the message.

          • (string) --
        • next (string) --

          The next activity in the pipeline.

      • selectAttributes (dict) --

        Creates a new message using only the specified attributes from the original message.

        • name (string) -- [REQUIRED]

          The name of the 'selectAttributes' activity.

        • attributes (list) -- [REQUIRED]

          A list of the attributes to select from the message.

          • (string) --
        • next (string) --

          The next activity in the pipeline.

      • filter (dict) --

        Filters a message based on its attributes.

        • name (string) -- [REQUIRED]

          The name of the 'filter' activity.

        • filter (string) -- [REQUIRED]

          An expression that looks like an SQL WHERE clause that must return a Boolean value.

        • next (string) --

          The next activity in the pipeline.

      • math (dict) --

        Computes an arithmetic expression using the message's attributes and adds it to the message.

        • name (string) -- [REQUIRED]

          The name of the 'math' activity.

        • attribute (string) -- [REQUIRED]

          The name of the attribute that will contain the result of the math operation.

        • math (string) -- [REQUIRED]

          An expression that uses one or more existing attributes and must return an integer value.

        • next (string) --

          The next activity in the pipeline.

      • deviceRegistryEnrich (dict) --

        Adds data from the AWS IoT device registry to your message.

        • name (string) -- [REQUIRED]

          The name of the 'deviceRegistryEnrich' activity.

        • attribute (string) -- [REQUIRED]

          The name of the attribute that is added to the message.

        • thingName (string) -- [REQUIRED]

          The name of the IoT device whose registry information is added to the message.

        • roleArn (string) -- [REQUIRED]

          The ARN of the role that allows access to the device's registry information.

        • next (string) --

          The next activity in the pipeline.

      • deviceShadowEnrich (dict) --

        Adds information from the AWS IoT Device Shadows service to a message.

        • name (string) -- [REQUIRED]

          The name of the 'deviceShadowEnrich' activity.

        • attribute (string) -- [REQUIRED]

          The name of the attribute that is added to the message.

        • thingName (string) -- [REQUIRED]

          The name of the IoT device whose shadow information is added to the message.

        • roleArn (string) -- [REQUIRED]

          The ARN of the role that allows access to the device's shadow.

        • next (string) --

          The next activity in the pipeline.

Returns

None

Paginators

The available paginators are: