DetectorModel

class aws_cdk.aws_iotevents_alpha.DetectorModel(scope, id, *, initial_state, description=None, detector_key=None, detector_model_name=None, evaluation_method=None, role=None)

Bases: Resource

(experimental) Defines an AWS IoT Events detector model in this stack.

Stability:: experimental
ExampleMetadata:: infused

Example:

import aws_cdk.aws_iotevents_alpha as iotevents
import aws_cdk.aws_iotevents_actions_alpha as actions
import aws_cdk.aws_lambda as lambda_

# func: lambda.IFunction


input = iotevents.Input(self, "MyInput",
    input_name="my_input",  # optional
    attribute_json_paths=["payload.deviceId", "payload.temperature"]
)

warm_state = iotevents.State(
    state_name="warm",
    on_enter=[iotevents.Event(
        event_name="test-enter-event",
        condition=iotevents.Expression.current_input(input),
        actions=[actions.LambdaInvokeAction(func)]
    )],
    on_input=[iotevents.Event( # optional
        event_name="test-input-event",
        actions=[actions.LambdaInvokeAction(func)])],
    on_exit=[iotevents.Event( # optional
        event_name="test-exit-event",
        actions=[actions.LambdaInvokeAction(func)])]
)
cold_state = iotevents.State(
    state_name="cold"
)

# transit to coldState when temperature is less than 15
warm_state.transition_to(cold_state,
    event_name="to_coldState",  # optional property, default by combining the names of the States
    when=iotevents.Expression.lt(
        iotevents.Expression.input_attribute(input, "payload.temperature"),
        iotevents.Expression.from_string("15")),
    executing=[actions.LambdaInvokeAction(func)]
)
# transit to warmState when temperature is greater than or equal to 15
cold_state.transition_to(warm_state,
    when=iotevents.Expression.gte(
        iotevents.Expression.input_attribute(input, "payload.temperature"),
        iotevents.Expression.from_string("15"))
)

iotevents.DetectorModel(self, "MyDetectorModel",
    detector_model_name="test-detector-model",  # optional
    description="test-detector-model-description",  # optional property, default is none
    evaluation_method=iotevents.EventEvaluation.SERIAL,  # optional property, default is iotevents.EventEvaluation.BATCH
    detector_key="payload.deviceId",  # optional property, default is none and single detector instance will be created and all inputs will be routed to it
    initial_state=warm_state
)

Parameters:

scope (Construct) –
id (str) –
initial_state (State) – (experimental) The state that is entered at the creation of each detector.
description (Optional[str]) – (experimental) A brief description of the detector model. Default: none
detector_key (Optional[str]) – (experimental) The value used to identify a detector instance. When a device or system sends input, a new detector instance with a unique key value is created. AWS IoT Events can continue to route input to its corresponding detector instance based on this identifying information. This parameter uses a JSON-path expression to select the attribute-value pair in the message payload that is used for identification. To route the message to the correct detector instance, the device must send a message payload that contains the same attribute-value. Default: - none (single detector instance will be created and all inputs will be routed to it)
detector_model_name (Optional[str]) – (experimental) The name of the detector model. Default: - CloudFormation will generate a unique name of the detector model
evaluation_method (Optional[EventEvaluation]) – (experimental) Information about the order in which events are evaluated and how actions are executed. When setting to SERIAL, variables are updated and event conditions are evaluated in the order that the events are defined. When setting to BATCH, variables within a state are updated and events within a state are performed only after all event conditions are evaluated. Default: EventEvaluation.BATCH
role (Optional[IRole]) – (experimental) The role that grants permission to AWS IoT Events to perform its operations. Default: - a role will be created with default permissions

Stability:

experimental

Methods

apply_removal_policy(policy)

Apply the given removal policy to this resource.

The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.

The resource can be deleted (RemovalPolicy.DESTROY), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN).

Parameters:

policy (RemovalPolicy) –

Return type:

None

to_string()

Returns a string representation of this construct.

Return type:: str

Attributes

detector_model_name

(experimental) The name of the detector model.

Stability:: experimental

env

The environment this resource belongs to.

For resources that are created and managed by the CDK (generally, those created by creating new class instances like Role, Bucket, etc.), this is always the same as the environment of the stack they belong to; however, for imported resources (those obtained from static methods like fromRoleArn, fromBucketName, etc.), that might be different than the stack they were imported into.

node: The tree node.

stack: The stack in which this resource is defined.

Static Methods

classmethod from_detector_model_name(scope, id, detector_model_name)

(experimental) Import an existing detector model.

Parameters:

scope (Construct) –
id (str) –
detector_model_name (str) –

Stability:

experimental

Return type:

IDetectorModel

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 is_owned_resource(construct)

Returns true if the construct was created by CDK, and false otherwise.

Parameters:

construct (IConstruct) –

Return type:

bool

classmethod is_resource(construct)

Check whether the given construct is a Resource.

Parameters:

construct (IConstruct) –

Return type:

bool