utility.delay

Delays transformation for a duration of time.

Settings

Field	Type	Description	Required
duration	string	Duration of time to sleep.	Yes

Example

sub.transform.utility.delay(
  settings={duration: '1m'}
)

sub.tf.util.delay({duration: '1m'})

utility.drop

Drops the message and returns nothing.

Example

sub.transform.utility.drop()

sub.tf.util.drop()

utility.err

Generates an error with a custom message.

Settings

Field	Type	Description	Required
message	string	Message returned in the error.	Yes

Example

sub.transform.utility.err(
  settings={message: 'test'}
)

sub.tf.util.err({message: 'test'})

utility.metric.count

Generates a metric that reports the count of messages that have passed through the transform.

Settings

Field	Type	Description	Required
metric.name	string	Name of the metric.	Yes
metric.destination	object	Metrics Destination configuration that reports the metric to an external system.	Yes
metric.attributes	map	Map (dictionary) of strings that are included in the metric as attributes or labels.	No

Example

sub.transform.utility.metric.count(
  settings={ metric: { name: 'MessagesReceived', destination: { type: 'aws_cloudwatch_embedded_metrics' } } },
)

sub.tf.util.metric.count({ metric: { name: 'MessagesReceived', destination: { type: 'aws_cloudwatch_embedded_metrics' } } })

utility.secret

Retrieves a secret from an external secret management system and loads it into the internal Secrets Store.

Settings

Field	Type	Description	Required
secret	object	The Secret configuration for retrieving and loading the secret.	Yes

Example

sub.transform.utility.secret(
  settings={ secret: sub.secrets.environment_variable(
    settings={ id: 'ENV_VAR', name: 'SUBSTATION_SECRET' }
  ) }
)

sub.tf.util.secret({ secret: sub.secrets.environment_variable({ id: 'ENV_VAR', name: 'SUBSTATION_SECRET' }) })

Use Cases

Conditionally Drop Messages

Messages can be conditionally dropped by wrapping the utility.drop transform with meta.switch:

sub.transform.meta.switch(
  settings={ cases: [
    condition=[...],
    transform=sub.tf.utility.drop(),
  ]},
)