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vertexAiFeaturestoreEntitytypeFeature.python.md

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vertexAiFeaturestoreEntitytypeFeature Submodule

Constructs

VertexAiFeaturestoreEntitytypeFeature

Represents a {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature google_vertex_ai_featurestore_entitytype_feature}.

Initializers 

from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeature(
  scope: Construct,
  id: str,
  connection: typing.Union[SSHProvisionerConnection, WinrmProvisionerConnection] = None,
  count: typing.Union[typing.Union[int, float], TerraformCount] = None,
  depends_on: typing.List[ITerraformDependable] = None,
  for_each: ITerraformIterator = None,
  lifecycle: TerraformResourceLifecycle = None,
  provider: TerraformProvider = None,
  provisioners: typing.List[typing.Union[FileProvisioner, LocalExecProvisioner, RemoteExecProvisioner]] = None,
  entitytype: str,
  value_type: str,
  description: str = None,
  id: str = None,
  labels: typing.Mapping[str] = None,
  name: str = None,
  timeouts: VertexAiFeaturestoreEntitytypeFeatureTimeouts = None
)
Name Type Description
scope constructs.Construct The scope in which to define this construct.
id str The scoped construct ID.
connection typing.Union[cdktf.SSHProvisionerConnection, cdktf.WinrmProvisionerConnection] No description.
count typing.Union[typing.Union[int, float], cdktf.TerraformCount] No description.
depends_on typing.List[cdktf.ITerraformDependable] No description.
for_each cdktf.ITerraformIterator No description.
lifecycle cdktf.TerraformResourceLifecycle No description.
provider cdktf.TerraformProvider No description.
provisioners typing.List[typing.Union[cdktf.FileProvisioner, cdktf.LocalExecProvisioner, cdktf.RemoteExecProvisioner]] No description.
entitytype str The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.
value_type str Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType.
description str Description of the feature.
id str Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#id VertexAiFeaturestoreEntitytypeFeature#id}.
labels typing.Mapping[str] A set of key/value label pairs to assign to the feature.
name str The name of the feature.
timeouts VertexAiFeaturestoreEntitytypeFeatureTimeouts timeouts block.
scopeRequired
  • Type: constructs.Construct

The scope in which to define this construct.

idRequired
  • Type: str

The scoped construct ID.

Must be unique amongst siblings in the same scope

connectionOptional
  • Type: typing.Union[cdktf.SSHProvisionerConnection, cdktf.WinrmProvisionerConnection]
countOptional
  • Type: typing.Union[typing.Union[int, float], cdktf.TerraformCount]
depends_onOptional
  • Type: typing.List[cdktf.ITerraformDependable]
for_eachOptional
  • Type: cdktf.ITerraformIterator
lifecycleOptional
  • Type: cdktf.TerraformResourceLifecycle
providerOptional
  • Type: cdktf.TerraformProvider
provisionersOptional
  • Type: typing.List[typing.Union[cdktf.FileProvisioner, cdktf.LocalExecProvisioner, cdktf.RemoteExecProvisioner]]
entitytypeRequired
  • Type: str

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#entitytype VertexAiFeaturestoreEntitytypeFeature#entitytype}

value_typeRequired
  • Type: str

Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#value_type VertexAiFeaturestoreEntitytypeFeature#value_type}

descriptionOptional
  • Type: str

Description of the feature.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#description VertexAiFeaturestoreEntitytypeFeature#description}

idOptional
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#id VertexAiFeaturestoreEntitytypeFeature#id}.

Please be aware that the id field is automatically added to all resources in Terraform providers using a Terraform provider SDK version below 2. If you experience problems setting this value it might not be settable. Please take a look at the provider documentation to ensure it should be settable.

labelsOptional
  • Type: typing.Mapping[str]

A set of key/value label pairs to assign to the feature.

Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#labels VertexAiFeaturestoreEntitytypeFeature#labels}

nameOptional
  • Type: str

The name of the feature.

The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#name VertexAiFeaturestoreEntitytypeFeature#name}

timeoutsOptional

timeouts block.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#timeouts VertexAiFeaturestoreEntitytypeFeature#timeouts}

Methods

Name Description
to_string Returns a string representation of this construct.
add_override No description.
override_logical_id Overrides the auto-generated logical ID with a specific ID.
reset_override_logical_id Resets a previously passed logical Id to use the auto-generated logical id again.
to_hcl_terraform No description.
to_metadata No description.
to_terraform Adds this resource to the terraform JSON output.
add_move_target Adds a user defined moveTarget string to this resource to be later used in .moveTo(moveTarget) to resolve the location of the move.
get_any_map_attribute No description.
get_boolean_attribute No description.
get_boolean_map_attribute No description.
get_list_attribute No description.
get_number_attribute No description.
get_number_list_attribute No description.
get_number_map_attribute No description.
get_string_attribute No description.
get_string_map_attribute No description.
has_resource_move No description.
import_from No description.
interpolation_for_attribute No description.
move_from_id Move the resource corresponding to "id" to this resource.
move_to Moves this resource to the target resource given by moveTarget.
move_to_id Moves this resource to the resource corresponding to "id".
put_timeouts No description.
reset_description No description.
reset_id No description.
reset_labels No description.
reset_name No description.
reset_timeouts No description.
to_string 
def to_string() -> str

Returns a string representation of this construct.

add_override 
def add_override(
  path: str,
  value: typing.Any
) -> None
pathRequired
  • Type: str
valueRequired
  • Type: typing.Any
override_logical_id 
def override_logical_id(
  new_logical_id: str
) -> None

Overrides the auto-generated logical ID with a specific ID.

new_logical_idRequired
  • Type: str

The new logical ID to use for this stack element.

reset_override_logical_id 
def reset_override_logical_id() -> None

Resets a previously passed logical Id to use the auto-generated logical id again.

to_hcl_terraform 
def to_hcl_terraform() -> typing.Any
to_metadata 
def to_metadata() -> typing.Any
to_terraform 
def to_terraform() -> typing.Any

Adds this resource to the terraform JSON output.

add_move_target 
def add_move_target(
  move_target: str
) -> None

Adds a user defined moveTarget string to this resource to be later used in .moveTo(moveTarget) to resolve the location of the move.

move_targetRequired
  • Type: str

The string move target that will correspond to this resource.

get_any_map_attribute 
def get_any_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[typing.Any]
terraform_attributeRequired
  • Type: str
get_boolean_attribute 
def get_boolean_attribute(
  terraform_attribute: str
) -> IResolvable
terraform_attributeRequired
  • Type: str
get_boolean_map_attribute 
def get_boolean_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[bool]
terraform_attributeRequired
  • Type: str
get_list_attribute 
def get_list_attribute(
  terraform_attribute: str
) -> typing.List[str]
terraform_attributeRequired
  • Type: str
get_number_attribute 
def get_number_attribute(
  terraform_attribute: str
) -> typing.Union[int, float]
terraform_attributeRequired
  • Type: str
get_number_list_attribute 
def get_number_list_attribute(
  terraform_attribute: str
) -> typing.List[typing.Union[int, float]]
terraform_attributeRequired
  • Type: str
get_number_map_attribute 
def get_number_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[typing.Union[int, float]]
terraform_attributeRequired
  • Type: str
get_string_attribute 
def get_string_attribute(
  terraform_attribute: str
) -> str
terraform_attributeRequired
  • Type: str
get_string_map_attribute 
def get_string_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[str]
terraform_attributeRequired
  • Type: str
has_resource_move 
def has_resource_move() -> typing.Union[TerraformResourceMoveByTarget, TerraformResourceMoveById]
import_from 
def import_from(
  id: str,
  provider: TerraformProvider = None
) -> None
idRequired
  • Type: str
providerOptional
  • Type: cdktf.TerraformProvider
interpolation_for_attribute 
def interpolation_for_attribute(
  terraform_attribute: str
) -> IResolvable
terraform_attributeRequired
  • Type: str
move_from_id 
def move_from_id(
  id: str
) -> None

Move the resource corresponding to "id" to this resource.

Note that the resource being moved from must be marked as moved using it's instance function.

idRequired
  • Type: str

Full id of resource being moved from, e.g. "aws_s3_bucket.example".

move_to 
def move_to(
  move_target: str,
  index: typing.Union[str, typing.Union[int, float]] = None
) -> None

Moves this resource to the target resource given by moveTarget.

move_targetRequired
  • Type: str

The previously set user defined string set by .addMoveTarget() corresponding to the resource to move to.

indexOptional
  • Type: typing.Union[str, typing.Union[int, float]]

Optional The index corresponding to the key the resource is to appear in the foreach of a resource to move to.

move_to_id 
def move_to_id(
  id: str
) -> None

Moves this resource to the resource corresponding to "id".

idRequired
  • Type: str

Full id of resource to move to, e.g. "aws_s3_bucket.example".

put_timeouts 
def put_timeouts(
  create: str = None,
  delete: str = None,
  update: str = None
) -> None
createOptional
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#create VertexAiFeaturestoreEntitytypeFeature#create}.

deleteOptional
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#delete VertexAiFeaturestoreEntitytypeFeature#delete}.

updateOptional
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#update VertexAiFeaturestoreEntitytypeFeature#update}.

reset_description 
def reset_description() -> None
reset_id 
def reset_id() -> None
reset_labels 
def reset_labels() -> None
reset_name 
def reset_name() -> None
reset_timeouts 
def reset_timeouts() -> None

Static Functions

Name Description
is_construct Checks if x is a construct.
is_terraform_element No description.
is_terraform_resource No description.
generate_config_for_import Generates CDKTF code for importing a VertexAiFeaturestoreEntitytypeFeature resource upon running "cdktf plan ".
is_construct 
from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeature.is_construct(
  x: typing.Any
)

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.

xRequired
  • Type: typing.Any

Any object.

is_terraform_element 
from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeature.is_terraform_element(
  x: typing.Any
)
xRequired
  • Type: typing.Any
is_terraform_resource 
from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeature.is_terraform_resource(
  x: typing.Any
)
xRequired
  • Type: typing.Any
generate_config_for_import 
from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeature.generate_config_for_import(
  scope: Construct,
  import_to_id: str,
  import_from_id: str,
  provider: TerraformProvider = None
)

Generates CDKTF code for importing a VertexAiFeaturestoreEntitytypeFeature resource upon running "cdktf plan ".

scopeRequired
  • Type: constructs.Construct

The scope in which to define this construct.

import_to_idRequired
  • Type: str

The construct id used in the generated config for the VertexAiFeaturestoreEntitytypeFeature to import.

import_from_idRequired
  • Type: str

The id of the existing VertexAiFeaturestoreEntitytypeFeature that should be imported.

Refer to the {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#import import section} in the documentation of this resource for the id to use

providerOptional
  • Type: cdktf.TerraformProvider

? Optional instance of the provider where the VertexAiFeaturestoreEntitytypeFeature to import is found.

Properties

Name Type Description
node constructs.Node The tree node.
cdktf_stack cdktf.TerraformStack No description.
fqn str No description.
friendly_unique_id str No description.
terraform_meta_arguments typing.Mapping[typing.Any] No description.
terraform_resource_type str No description.
terraform_generator_metadata cdktf.TerraformProviderGeneratorMetadata No description.
connection typing.Union[cdktf.SSHProvisionerConnection, cdktf.WinrmProvisionerConnection] No description.
count typing.Union[typing.Union[int, float], cdktf.TerraformCount] No description.
depends_on typing.List[str] No description.
for_each cdktf.ITerraformIterator No description.
lifecycle cdktf.TerraformResourceLifecycle No description.
provider cdktf.TerraformProvider No description.
provisioners typing.List[typing.Union[cdktf.FileProvisioner, cdktf.LocalExecProvisioner, cdktf.RemoteExecProvisioner]] No description.
create_time str No description.
effective_labels cdktf.StringMap No description.
etag str No description.
region str No description.
terraform_labels cdktf.StringMap No description.
timeouts VertexAiFeaturestoreEntitytypeFeatureTimeoutsOutputReference No description.
update_time str No description.
description_input str No description.
entitytype_input str No description.
id_input str No description.
labels_input typing.Mapping[str] No description.
name_input str No description.
timeouts_input typing.Union[cdktf.IResolvable, VertexAiFeaturestoreEntitytypeFeatureTimeouts] No description.
value_type_input str No description.
description str No description.
entitytype str No description.
id str No description.
labels typing.Mapping[str] No description.
name str No description.
value_type str No description.
nodeRequired 
node: Node
  • Type: constructs.Node

The tree node.

cdktf_stackRequired 
cdktf_stack: TerraformStack
  • Type: cdktf.TerraformStack
fqnRequired 
fqn: str
  • Type: str
friendly_unique_idRequired 
friendly_unique_id: str
  • Type: str
terraform_meta_argumentsRequired 
terraform_meta_arguments: typing.Mapping[typing.Any]
  • Type: typing.Mapping[typing.Any]
terraform_resource_typeRequired 
terraform_resource_type: str
  • Type: str
terraform_generator_metadataOptional 
terraform_generator_metadata: TerraformProviderGeneratorMetadata
  • Type: cdktf.TerraformProviderGeneratorMetadata
connectionOptional 
connection: typing.Union[SSHProvisionerConnection, WinrmProvisionerConnection]
  • Type: typing.Union[cdktf.SSHProvisionerConnection, cdktf.WinrmProvisionerConnection]
countOptional 
count: typing.Union[typing.Union[int, float], TerraformCount]
  • Type: typing.Union[typing.Union[int, float], cdktf.TerraformCount]
depends_onOptional 
depends_on: typing.List[str]
  • Type: typing.List[str]
for_eachOptional 
for_each: ITerraformIterator
  • Type: cdktf.ITerraformIterator
lifecycleOptional 
lifecycle: TerraformResourceLifecycle
  • Type: cdktf.TerraformResourceLifecycle
providerOptional 
provider: TerraformProvider
  • Type: cdktf.TerraformProvider
provisionersOptional 
provisioners: typing.List[typing.Union[FileProvisioner, LocalExecProvisioner, RemoteExecProvisioner]]
  • Type: typing.List[typing.Union[cdktf.FileProvisioner, cdktf.LocalExecProvisioner, cdktf.RemoteExecProvisioner]]
create_timeRequired 
create_time: str
  • Type: str
effective_labelsRequired 
effective_labels: StringMap
  • Type: cdktf.StringMap
etagRequired 
etag: str
  • Type: str
regionRequired 
region: str
  • Type: str
terraform_labelsRequired 
terraform_labels: StringMap
  • Type: cdktf.StringMap
timeoutsRequired 
timeouts: VertexAiFeaturestoreEntitytypeFeatureTimeoutsOutputReference
update_timeRequired 
update_time: str
  • Type: str
description_inputOptional 
description_input: str
  • Type: str
entitytype_inputOptional 
entitytype_input: str
  • Type: str
id_inputOptional 
id_input: str
  • Type: str
labels_inputOptional 
labels_input: typing.Mapping[str]
  • Type: typing.Mapping[str]
name_inputOptional 
name_input: str
  • Type: str
timeouts_inputOptional 
timeouts_input: typing.Union[IResolvable, VertexAiFeaturestoreEntitytypeFeatureTimeouts]
value_type_inputOptional 
value_type_input: str
  • Type: str
descriptionRequired 
description: str
  • Type: str
entitytypeRequired 
entitytype: str
  • Type: str
idRequired 
id: str
  • Type: str
labelsRequired 
labels: typing.Mapping[str]
  • Type: typing.Mapping[str]
nameRequired 
name: str
  • Type: str
value_typeRequired 
value_type: str
  • Type: str

Constants

Name Type Description
tfResourceType str No description.
tfResourceTypeRequired 
tfResourceType: str
  • Type: str

Structs

VertexAiFeaturestoreEntitytypeFeatureConfig

Initializer 

from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeatureConfig(
  connection: typing.Union[SSHProvisionerConnection, WinrmProvisionerConnection] = None,
  count: typing.Union[typing.Union[int, float], TerraformCount] = None,
  depends_on: typing.List[ITerraformDependable] = None,
  for_each: ITerraformIterator = None,
  lifecycle: TerraformResourceLifecycle = None,
  provider: TerraformProvider = None,
  provisioners: typing.List[typing.Union[FileProvisioner, LocalExecProvisioner, RemoteExecProvisioner]] = None,
  entitytype: str,
  value_type: str,
  description: str = None,
  id: str = None,
  labels: typing.Mapping[str] = None,
  name: str = None,
  timeouts: VertexAiFeaturestoreEntitytypeFeatureTimeouts = None
)

Properties

Name Type Description
connection typing.Union[cdktf.SSHProvisionerConnection, cdktf.WinrmProvisionerConnection] No description.
count typing.Union[typing.Union[int, float], cdktf.TerraformCount] No description.
depends_on typing.List[cdktf.ITerraformDependable] No description.
for_each cdktf.ITerraformIterator No description.
lifecycle cdktf.TerraformResourceLifecycle No description.
provider cdktf.TerraformProvider No description.
provisioners typing.List[typing.Union[cdktf.FileProvisioner, cdktf.LocalExecProvisioner, cdktf.RemoteExecProvisioner]] No description.
entitytype str The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.
value_type str Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType.
description str Description of the feature.
id str Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#id VertexAiFeaturestoreEntitytypeFeature#id}.
labels typing.Mapping[str] A set of key/value label pairs to assign to the feature.
name str The name of the feature.
timeouts VertexAiFeaturestoreEntitytypeFeatureTimeouts timeouts block.
connectionOptional 
connection: typing.Union[SSHProvisionerConnection, WinrmProvisionerConnection]
  • Type: typing.Union[cdktf.SSHProvisionerConnection, cdktf.WinrmProvisionerConnection]
countOptional 
count: typing.Union[typing.Union[int, float], TerraformCount]
  • Type: typing.Union[typing.Union[int, float], cdktf.TerraformCount]
depends_onOptional 
depends_on: typing.List[ITerraformDependable]
  • Type: typing.List[cdktf.ITerraformDependable]
for_eachOptional 
for_each: ITerraformIterator
  • Type: cdktf.ITerraformIterator
lifecycleOptional 
lifecycle: TerraformResourceLifecycle
  • Type: cdktf.TerraformResourceLifecycle
providerOptional 
provider: TerraformProvider
  • Type: cdktf.TerraformProvider
provisionersOptional 
provisioners: typing.List[typing.Union[FileProvisioner, LocalExecProvisioner, RemoteExecProvisioner]]
  • Type: typing.List[typing.Union[cdktf.FileProvisioner, cdktf.LocalExecProvisioner, cdktf.RemoteExecProvisioner]]
entitytypeRequired 
entitytype: str
  • Type: str

The name of the Featurestore to use, in the format projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entitytype}.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#entitytype VertexAiFeaturestoreEntitytypeFeature#entitytype}

value_typeRequired 
value_type: str
  • Type: str

Type of Feature value. Immutable. https://cloud.google.com/vertex-ai/docs/reference/rest/v1/projects.locations.featurestores.entityTypes.features#ValueType.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#value_type VertexAiFeaturestoreEntitytypeFeature#value_type}

descriptionOptional 
description: str
  • Type: str

Description of the feature.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#description VertexAiFeaturestoreEntitytypeFeature#description}

idOptional 
id: str
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#id VertexAiFeaturestoreEntitytypeFeature#id}.

Please be aware that the id field is automatically added to all resources in Terraform providers using a Terraform provider SDK version below 2. If you experience problems setting this value it might not be settable. Please take a look at the provider documentation to ensure it should be settable.

labelsOptional 
labels: typing.Mapping[str]
  • Type: typing.Mapping[str]

A set of key/value label pairs to assign to the feature.

Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#labels VertexAiFeaturestoreEntitytypeFeature#labels}

nameOptional 
name: str
  • Type: str

The name of the feature.

The feature can be up to 64 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscore(_), and ASCII digits 0-9 starting with a letter. The value will be unique given an entity type.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#name VertexAiFeaturestoreEntitytypeFeature#name}

timeoutsOptional 
timeouts: VertexAiFeaturestoreEntitytypeFeatureTimeouts

timeouts block.

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#timeouts VertexAiFeaturestoreEntitytypeFeature#timeouts}

VertexAiFeaturestoreEntitytypeFeatureTimeouts

Initializer 

from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeatureTimeouts(
  create: str = None,
  delete: str = None,
  update: str = None
)

Properties

Name Type Description
create str Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#create VertexAiFeaturestoreEntitytypeFeature#create}.
delete str Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#delete VertexAiFeaturestoreEntitytypeFeature#delete}.
update str Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#update VertexAiFeaturestoreEntitytypeFeature#update}.
createOptional 
create: str
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#create VertexAiFeaturestoreEntitytypeFeature#create}.

deleteOptional 
delete: str
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#delete VertexAiFeaturestoreEntitytypeFeature#delete}.

updateOptional 
update: str
  • Type: str

Docs at Terraform Registry: {@link https://registry.terraform.io/providers/hashicorp/google/6.35.0/docs/resources/vertex_ai_featurestore_entitytype_feature#update VertexAiFeaturestoreEntitytypeFeature#update}.

Classes

VertexAiFeaturestoreEntitytypeFeatureTimeoutsOutputReference

Initializers 

from cdktf_cdktf_provider_google import vertex_ai_featurestore_entitytype_feature

vertexAiFeaturestoreEntitytypeFeature.VertexAiFeaturestoreEntitytypeFeatureTimeoutsOutputReference(
  terraform_resource: IInterpolatingParent,
  terraform_attribute: str
)
Name Type Description
terraform_resource cdktf.IInterpolatingParent The parent resource.
terraform_attribute str The attribute on the parent resource this class is referencing.
terraform_resourceRequired
  • Type: cdktf.IInterpolatingParent

The parent resource.

terraform_attributeRequired
  • Type: str

The attribute on the parent resource this class is referencing.

Methods

Name Description
compute_fqn No description.
get_any_map_attribute No description.
get_boolean_attribute No description.
get_boolean_map_attribute No description.
get_list_attribute No description.
get_number_attribute No description.
get_number_list_attribute No description.
get_number_map_attribute No description.
get_string_attribute No description.
get_string_map_attribute No description.
interpolation_for_attribute No description.
resolve Produce the Token's value at resolution time.
to_string Return a string representation of this resolvable object.
reset_create No description.
reset_delete No description.
reset_update No description.
compute_fqn 
def compute_fqn() -> str
get_any_map_attribute 
def get_any_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[typing.Any]
terraform_attributeRequired
  • Type: str
get_boolean_attribute 
def get_boolean_attribute(
  terraform_attribute: str
) -> IResolvable
terraform_attributeRequired
  • Type: str
get_boolean_map_attribute 
def get_boolean_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[bool]
terraform_attributeRequired
  • Type: str
get_list_attribute 
def get_list_attribute(
  terraform_attribute: str
) -> typing.List[str]
terraform_attributeRequired
  • Type: str
get_number_attribute 
def get_number_attribute(
  terraform_attribute: str
) -> typing.Union[int, float]
terraform_attributeRequired
  • Type: str
get_number_list_attribute 
def get_number_list_attribute(
  terraform_attribute: str
) -> typing.List[typing.Union[int, float]]
terraform_attributeRequired
  • Type: str
get_number_map_attribute 
def get_number_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[typing.Union[int, float]]
terraform_attributeRequired
  • Type: str
get_string_attribute 
def get_string_attribute(
  terraform_attribute: str
) -> str
terraform_attributeRequired
  • Type: str
get_string_map_attribute 
def get_string_map_attribute(
  terraform_attribute: str
) -> typing.Mapping[str]
terraform_attributeRequired
  • Type: str
interpolation_for_attribute 
def interpolation_for_attribute(
  property: str
) -> IResolvable
propertyRequired
  • Type: str
resolve 
def resolve(
  _context: IResolveContext
) -> typing.Any

Produce the Token's value at resolution time.

_contextRequired
  • Type: cdktf.IResolveContext
to_string 
def to_string() -> str

Return a string representation of this resolvable object.

Returns a reversible string representation.

reset_create 
def reset_create() -> None
reset_delete 
def reset_delete() -> None
reset_update 
def reset_update() -> None

Properties

Name Type Description
creation_stack typing.List[str] The creation stack of this resolvable which will be appended to errors thrown during resolution.
fqn str No description.
create_input str No description.
delete_input str No description.
update_input str No description.
create str No description.
delete str No description.
update str No description.
internal_value typing.Union[cdktf.IResolvable, VertexAiFeaturestoreEntitytypeFeatureTimeouts] No description.
creation_stackRequired 
creation_stack: typing.List[str]
  • Type: typing.List[str]

The creation stack of this resolvable which will be appended to errors thrown during resolution.

If this returns an empty array the stack will not be attached.

fqnRequired 
fqn: str
  • Type: str
create_inputOptional 
create_input: str
  • Type: str
delete_inputOptional 
delete_input: str
  • Type: str
update_inputOptional 
update_input: str
  • Type: str
createRequired 
create: str
  • Type: str
deleteRequired 
delete: str
  • Type: str
updateRequired 
update: str
  • Type: str
internal_valueOptional 
internal_value: typing.Union[IResolvable, VertexAiFeaturestoreEntitytypeFeatureTimeouts]