BatchSubmitJob

class aws_cdk.aws_stepfunctions_tasks.BatchSubmitJob(scope, id, *, job_definition_arn, job_name, job_queue_arn, array_size=None, attempts=None, container_overrides=None, depends_on=None, payload=None, tags=None, comment=None, credentials=None, heartbeat=None, heartbeat_timeout=None, input_path=None, integration_pattern=None, output_path=None, result_path=None, result_selector=None, state_name=None, task_timeout=None, timeout=None)

Bases: TaskStateBase

Task to submits an AWS Batch job from a job definition.

See:: https://docs.aws.amazon.com/step-functions/latest/dg/connect-batch.html
ExampleMetadata:: infused

Example:

import aws_cdk.aws_batch as batch
# batch_job_definition: batch.EcsJobDefinition
# batch_queue: batch.JobQueue


task = tasks.BatchSubmitJob(self, "Submit Job",
    job_definition_arn=batch_job_definition.job_definition_arn,
    job_name="MyJob",
    job_queue_arn=batch_queue.job_queue_arn
)

Parameters:

scope (Construct) –
id (str) – Descriptive identifier for this chainable.
job_definition_arn (str) – The arn of the job definition used by this job.
job_name (str) – The name of the job. The first character must be alphanumeric, and up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.
job_queue_arn (str) – The arn of the job queue into which the job is submitted.
array_size (Union[int, float, None]) – The array size can be between 2 and 10,000. If you specify array properties for a job, it becomes an array job. For more information, see Array Jobs in the AWS Batch User Guide. Default: - No array size
attempts (Union[int, float, None]) – The number of times to move a job to the RUNNABLE status. You may specify between 1 and 10 attempts. If the value of attempts is greater than one, the job is retried on failure the same number of attempts as the value. Default: 1
container_overrides (Union[BatchContainerOverrides, Dict[str, Any], None]) – A list of container overrides in JSON format that specify the name of a container in the specified job definition and the overrides it should receive. Default: - No container overrides
depends_on (Optional[Sequence[Union[BatchJobDependency, Dict[str, Any]]]]) – A list of dependencies for the job. A job can depend upon a maximum of 20 jobs. Default: - No dependencies
payload (Optional[TaskInput]) – The payload to be passed as parameters to the batch job. Default: - No parameters are passed
tags (Optional[Mapping[str, str]]) – The tags applied to the job request. Default: {} - no tags
comment (Optional[str]) – An optional description for this state. Default: - No comment
credentials (Union[Credentials, Dict[str, Any], None]) – Credentials for an IAM Role that the State Machine assumes for executing the task. This enables cross-account resource invocations. Default: - None (Task is executed using the State Machine’s execution role)
heartbeat (Optional[Duration]) – (deprecated) Timeout for the heartbeat. Default: - None
heartbeat_timeout (Optional[Timeout]) – Timeout for the heartbeat. [disable-awslint:duration-prop-type] is needed because all props interface in aws-stepfunctions-tasks extend this interface Default: - None
input_path (Optional[str]) – JSONPath expression to select part of the state to be the input to this state. May also be the special value JsonPath.DISCARD, which will cause the effective input to be the empty object {}. Default: - The entire task input (JSON path ‘$’)
integration_pattern (Optional[IntegrationPattern]) – AWS Step Functions integrates with services directly in the Amazon States Language. You can control these AWS services using service integration patterns. Depending on the AWS Service, the Service Integration Pattern availability will vary. Default: - IntegrationPattern.REQUEST_RESPONSE for most tasks. IntegrationPattern.RUN_JOB for the following exceptions: BatchSubmitJob, EmrAddStep, EmrCreateCluster, EmrTerminationCluster, and EmrContainersStartJobRun.
output_path (Optional[str]) – JSONPath expression to select select a portion of the state output to pass to the next state. May also be the special value JsonPath.DISCARD, which will cause the effective output to be the empty object {}. Default: - The entire JSON node determined by the state input, the task result, and resultPath is passed to the next state (JSON path ‘$’)
result_path (Optional[str]) – JSONPath expression to indicate where to inject the state’s output. May also be the special value JsonPath.DISCARD, which will cause the state’s input to become its output. Default: - Replaces the entire input with the result (JSON path ‘$’)
result_selector (Optional[Mapping[str, Any]]) – The JSON that will replace the state’s raw result and become the effective result before ResultPath is applied. You can use ResultSelector to create a payload with values that are static or selected from the state’s raw result. Default: - None
state_name (Optional[str]) – Optional name for this state. Default: - The construct ID will be used as state name
task_timeout (Optional[Timeout]) – Timeout for the task. [disable-awslint:duration-prop-type] is needed because all props interface in aws-stepfunctions-tasks extend this interface Default: - None
timeout (Optional[Duration]) – (deprecated) Timeout for the task. Default: - None

Methods

add_catch(handler, *, errors=None, result_path=None)

Add a recovery handler for this state.

When a particular error occurs, execution will continue at the error handler instead of failing the state machine execution.

Parameters:

handler (IChainable) –
errors (Optional[Sequence[str]]) – Errors to recover from by going to the given state. A list of error strings to retry, which can be either predefined errors (for example Errors.NoChoiceMatched) or a self-defined error. Default: All errors
result_path (Optional[str]) – JSONPath expression to indicate where to inject the error data. May also be the special value JsonPath.DISCARD, which will cause the error data to be discarded. Default: $

Return type:

TaskStateBase

add_prefix(x)

Add a prefix to the stateId of this state.

Parameters:

x (str) –

Return type:

None

add_retry(*, backoff_rate=None, errors=None, interval=None, jitter_strategy=None, max_attempts=None, max_delay=None)

Add retry configuration for this state.

This controls if and how the execution will be retried if a particular error occurs.

Parameters:

backoff_rate (Union[int, float, None]) – Multiplication for how much longer the wait interval gets on every retry. Default: 2
errors (Optional[Sequence[str]]) – Errors to retry. A list of error strings to retry, which can be either predefined errors (for example Errors.NoChoiceMatched) or a self-defined error. Default: All errors
interval (Optional[Duration]) – How many seconds to wait initially before retrying. Default: Duration.seconds(1)
jitter_strategy (Optional[JitterType]) – Introduces a randomization over the retry interval. Default: - No jitter strategy
max_attempts (Union[int, float, None]) – How many times to retry this particular error. May be 0 to disable retry for specific errors (in case you have a catch-all retry policy). Default: 3
max_delay (Optional[Duration]) – Maximum limit on retry interval growth during exponential backoff. Default: - No max delay

Return type:

TaskStateBase

bind_to_graph(graph)

Register this state as part of the given graph.

Don’t call this. It will be called automatically when you work with states normally.

Parameters:

graph (StateGraph) –

Return type:

None

metric(metric_name, *, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Return the given named metric for this Task.

Parameters:

metric_name (str) –
account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) – Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

metric_failed(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Metric for the number of times this activity fails.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

metric_heartbeat_timed_out(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Metric for the number of times the heartbeat times out for this activity.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

metric_run_time(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

The interval, in milliseconds, between the time the Task starts and the time it closes.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

average over 5 minutes

Return type:

Metric

metric_schedule_time(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

The interval, in milliseconds, for which the activity stays in the schedule state.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

average over 5 minutes

Return type:

Metric

metric_scheduled(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Metric for the number of times this activity is scheduled.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

metric_started(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Metric for the number of times this activity is started.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

metric_succeeded(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Metric for the number of times this activity succeeds.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

metric_time(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

The interval, in milliseconds, between the time the activity is scheduled and the time it closes.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

average over 5 minutes

Return type:

Metric

metric_timed_out(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

Metric for the number of times this activity times out.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Default:

sum over 5 minutes

Return type:

Metric

next(next)

Continue normal execution with the given state.

Parameters:

next (IChainable) –

Return type:

Chain

to_state_json()

Return the Amazon States Language object for this state.

Return type:: Mapping[Any, Any]

to_string()

Returns a string representation of this construct.

Return type:: str

Attributes

end_states: Continuable states of this Chainable.

id: Descriptive identifier for this chainable.

node: The tree node.

start_state: First state of this Chainable.

state_id: Tokenized string that evaluates to the state’s ID.

Static Methods

classmethod filter_nextables(states)

Return only the states that allow chaining from an array of states.

Parameters:

states (Sequence[State]) –

Return type:

List[INextable]

classmethod find_reachable_end_states(start, *, include_error_handlers=None)

Find the set of end states states reachable through transitions from the given start state.

Parameters:

start (State) –
include_error_handlers (Optional[bool]) – Whether or not to follow error-handling transitions. Default: false

Return type:

List[State]

classmethod find_reachable_states(start, *, include_error_handlers=None)

Find the set of states reachable through transitions from the given start state.

This does not retrieve states from within sub-graphs, such as states within a Parallel state’s branch.

Parameters:

start (State) –
include_error_handlers (Optional[bool]) – Whether or not to follow error-handling transitions. Default: false

Return type:

List[State]

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct instances, even when the construct library is symlinked.

Explanation: in JavaScript, multiple copies of the constructs library on disk are seen as independent, completely different libraries. As a consequence, the class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof the other class. npm install will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, and using this type-testing method instead.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Construct.

classmethod prefix_states(root, prefix)

Add a prefix to the stateId of all States found in a construct tree.

Parameters:

root (IConstruct) –
prefix (str) –

Return type:

None