Configure the AWS IoT SiteWise rule action - AWS IoT SiteWise

Configure the AWS IoT SiteWise rule action

The AWS IoT SiteWise rule action sends data from the MQTT message that initiated the rule to asset properties in AWS IoT SiteWise. You can upload multiple data entries to different asset properties at the same time,to send updates for all sensors of a device in one message. You can also upload multiple data points at once for each data entry.

Note

When you send data to AWS IoT SiteWise with the rule action, your data must meet all of the requirements of the BatchPutAssetPropertyValue operation. For example, your data can't have a timestamp earlier than 7 days from current Unix epoch time. For more information, see Ingesting data with the AWS IoT SiteWise API.

For each data entry in the rule action, you identify an asset property and specify the timestamp, quality, and value of each data point for that asset property. The rule action expects strings for all parameters.

To identify an asset property in an entry, specify one of the following:

  • The Asset ID (assetId) and Property ID (propertyId) of the asset property that you're sending data to. You can find the Asset ID and Property ID using the AWS IoT SiteWise console. If you know the Asset ID, you can use the AWS CLI to call DescribeAsset to find the Property ID.

  • The Property alias (propertyAlias), which is a data stream alias (for example, /company/windfarm/3/turbine/7/temperature). To use this option, you must first set your asset property's alias. To learn how to set property aliases, see Map industrial data streams to asset properties.

For the timestamp in each entry, use the timestamp reported by your equipment or the timestamp provided by AWS IoT Core. The timestamp has two parameters:

  • Time in seconds (timeInSeconds) – The Unix epoch time, in seconds, at which the sensor or equipment reported the data.

  • Offset in nanos (offsetInNanos) – (Optional) The nanosecond offset from the time in seconds.

Important

If your timestamp is a string, has a decimal portion, or isn't in seconds, AWS IoT SiteWise rejects the request. You must convert the timestamp to seconds and nanosecond offset. Use features of the AWS IoT rules engine to convert the timestamp. For more information, see the following:

You can use substitution templates for several parameters in the action to perform calculations, invoke functions, and pull values from the message payload. For more information, see Substitution templates in the AWS IoT Developer Guide.

Note

Because an expression in a substitution template is evaluated separately from the SELECT statement, you can't use a substitution template to reference an alias created using an AS clause. You can reference only information present in the original payload, in addition to supported functions and operators.

Getting timestamps for devices that don't report accurate time

If your sensor or equipment doesn't report accurate time data, get the current Unix epoch time from the AWS IoT rules engine with timestamp(). This function outputs time in milliseconds, so you must convert the value to time in seconds and offset in nanoseconds. To do so, use the following conversions:

  • For Time in seconds (timeInSeconds), use ${floor(timestamp() / 1E3)} to convert the time from milliseconds to seconds.

  • For Offset in nanos (offsetInNanos), use ${(timestamp() % 1E3) * 1E6} to calculate the nanosecond offset of the timestamp.

Converting timestamps that are in string format

If your sensor or equipment reports time data in string format (for example, 2020-03-03T14:57:14.699Z), use time_to_epoch(String, String). This function inputs the timestamp and format pattern as parameters and outputs time in milliseconds. Then, you must convert the time to time in seconds and offset in nanoseconds. To do so, use the following conversions:

  • For Time in seconds (timeInSeconds), use ${floor(time_to_epoch("2020-03-03T14:57:14.699Z", "yyyy-MM-dd'T'HH:mm:ss'Z'") / 1E3)} to convert the timestamp string to milliseconds, and then to seconds.

  • For Offset in nanos (offsetInNanos), use ${(time_to_epoch("2020-03-03T14:57:14.699Z", "yyyy-MM-dd'T'HH:mm:ss'Z'") % 1E3) * 1E6} to calculate the nanosecond offset of the timestamp string.

Note

The time_to_epoch function supports up to millisecond-precision timestamp strings. To convert strings with microsecond or nanosecond precision, configure an AWS Lambda function that your rule calls to convert the timestamp into numerical values. For more information, see Converting nanosecond-precision timestamp strings.

Converting nanosecond-precision timestamp strings

If your device sends timestamp information in string format with nanosecond precision (for example, 2020-03-03T14:57:14.699728491Z), use the following procedure to configure your rule action. You can create an AWS Lambda function that converts the timestamp from a string into Time in seconds (timeInSeconds) and Offset in nanos (offsetInNanos). Then, use aws_lambda(functionArn, inputJson) in your rule action parameters to invoke that Lambda function and use the output in your rule.

Note

This section contains advanced instructions that assume that you're familiar with how to create the following resources:

To create an AWS IoT SiteWise rule action that parses timestamp strings
  1. Create a Lambda function with the following properties:

    • Function name – Use a descriptive function name (for example, ConvertNanosecondTimestampFromString).

    • Runtime – Use a Python 3 runtime, such as Python 3.11 (python3.11).

    • Permissions – Create a role with basic Lambda permissions (AWSLambdaBasicExecutionRole).

    • Layers – Add the AWSSDKPandas-Python311 layer for the Lambda function to use numpy.

    • Function code – Use the following function code, which consumes a string argument named timestamp and outputs timeInSeconds and offsetInNanos values for that timestamp.

      import json import math import numpy # Converts a timestamp string into timeInSeconds and offsetInNanos in Unix epoch time. # The input timestamp string can have up to nanosecond precision. def lambda_handler(event, context): timestamp_str = event['timestamp'] # Parse the timestamp string as nanoseconds since Unix epoch. nanoseconds = numpy.datetime64(timestamp_str, 'ns').item() time_in_seconds = math.floor(nanoseconds / 1E9) # Slice to avoid precision issues. offset_in_nanos = int(str(nanoseconds)[-9:]) return { 'timeInSeconds': time_in_seconds, 'offsetInNanos': offset_in_nanos }

      This Lambda function inputs timestamp strings in ISO 8601 format using datetime64 from NumPy.

      Note

      If your timestamp strings aren't in ISO 8601 format, you can implement a solution with pandas that defines the timestamp format. For more information, see pandas.to_datetime.

  2. When you configure the AWS IoT SiteWise action for your rule, use the following substitution templates for Time in seconds (timeInSeconds) and Offset in nanos (offsetInNanos). These substitution templates assume that your message payload contains the timestamp string in timestamp. The aws_lambda function consumes a JSON structure for its second parameter, so you can modify the below substitution templates if needed.

    • For Time in seconds (timeInSeconds), use the following substitution template.

      ${aws_lambda('arn:aws:lambda:region:account-id:function:ConvertNanosecondTimestampFromString', {'timestamp': timestamp}).timeInSeconds}
    • For Offset in nanos (offsetInNanos), use the following substitution template.

      ${aws_lambda('arn:aws:lambda:region:account-id:function:ConvertNanosecondTimestampFromString', {'timestamp': timestamp}).offsetInNanos}

    For each parameter, replace region and account-id with your Region and AWS account ID. If you used a different name for your Lambda function, change that as well.

  3. Grant AWS IoT permissions to invoke your function with the lambda:InvokeFunction permission. For more information, see aws_lambda(functionArn, inputJson).

  4. Test your rule (for example, use the AWS IoT MQTT test client) and verify that AWS IoT SiteWise receives the data that you send.

    If your rule doesn't work as expected, see Troubleshoot a AWS IoT SiteWise rule action.

Note

This solution invokes the Lambda function twice for each timestamp string. You can create another rule to reduce the number of Lambda function invocations if your rule handles multiple data points that have the same timestamp in each payload.

To do so, create a rule with a republish action that invokes the Lambda and publishes the original payload with the timestamp string converted to timeInSeconds and offsetInNanos. Then, create a rule with an AWS IoT SiteWise rule action to consume the converted payload. With this approach, you reduce the number of times that the rule invokes the Lambda but increase the number of AWS IoT rule actions run. Consider the pricing of each service if you apply this solution to your use case.

Example rule configurations

This section contains example rule configurations to create a rule with an AWS IoT SiteWise action.

Example rule action that uses property aliases as message topics

The following example creates a rule with an AWS IoT SiteWise action that uses the topic (through topic()) as the property alias to identify asset properties. Use this example to define one rule for ingesting double-type data to all wind turbines in all wind farms. This example requires that you define property aliases on all turbine assets' properties. You would need to define a second, similar rule to ingest integer-type data.

aws iot create-topic-rule \ --rule-name SiteWiseWindFarmRule \ --topic-rule-payload file://sitewise-rule-payload.json

The example payload in sitewise-rule-payload.json contains the following content.

{ "sql": "SELECT * FROM '/company/windfarm/+/turbine/+/+' WHERE type = 'double'", "description": "Sends data to the wind turbine asset property with the same alias as the topic", "ruleDisabled": false, "awsIotSqlVersion": "2016-03-23", "actions": [ { "iotSiteWise": { "putAssetPropertyValueEntries": [ { "propertyAlias": "${topic()}", "propertyValues": [ { "timestamp": { "timeInSeconds": "${timeInSeconds}" }, "value": { "doubleValue": "${value}" } } ] } ], "roleArn": "arn:aws:iam::account-id:role/MySiteWiseActionRole" } } ] }

With this rule action, send the following message to a wind turbine property alias (for example, /company/windfarm/3/turbine/7/temperature) as a topic to ingest data.

{ "type": "double", "value": "38.3", "timeInSeconds": "1581368533" }
Example rule action that uses timestamp() to determine time

The following example creates a rule with an AWS IoT SiteWise action that identifies an asset property by IDs and uses timestamp() to determine the current time.

aws iot create-topic-rule \ --rule-name SiteWiseAssetPropertyRule \ --topic-rule-payload file://sitewise-rule-payload.json

The example payload in sitewise-rule-payload.json contains the following content.

{ "sql": "SELECT * FROM 'my/asset/property/topic'", "description": "Sends device data to an asset property", "ruleDisabled": false, "awsIotSqlVersion": "2016-03-23", "actions": [ { "iotSiteWise": { "putAssetPropertyValueEntries": [ { "assetId": "a1b2c3d4-5678-90ab-cdef-22222EXAMPLE", "propertyId": "a1b2c3d4-5678-90ab-cdef-33333EXAMPLE", "propertyValues": [ { "timestamp": { "timeInSeconds": "${floor(timestamp() / 1E3)}", "offsetInNanos": "${(timestamp() % 1E3) * 1E6}" }, "value": { "doubleValue": "${value}" } } ] } ], "roleArn": "arn:aws:iam::account-id:role/MySiteWiseActionRole" } } ] }

With this rule action, send the following message to the my/asset/property/topic to ingest data.

{ "type": "double", "value": "38.3" }

Troubleshooting the rule action

To troubleshoot your AWS IoT SiteWise rule action in AWS IoT Core, configure CloudWatch Logs or configure a republish error action for your rule. For more information, see Troubleshoot a AWS IoT SiteWise rule action.