Struct EndpointProperties 

#[non_exhaustive]
pub struct EndpointProperties {
    pub endpoint_arn: Option<String>,
    pub status: Option<EndpointStatus>,
    pub message: Option<String>,
    pub model_arn: Option<String>,
    pub desired_model_arn: Option<String>,
    pub desired_inference_units: Option<i32>,
    pub current_inference_units: Option<i32>,
    pub creation_time: Option<DateTime>,
    pub last_modified_time: Option<DateTime>,
    pub data_access_role_arn: Option<String>,
    pub desired_data_access_role_arn: Option<String>,
    pub flywheel_arn: Option<String>,
}

Specifies information about the specified endpoint. For information about endpoints, see Managing endpoints.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

endpoint_arn: Option<String>

The Amazon Resource Number (ARN) of the endpoint.

status: Option<EndpointStatus>

Specifies the status of the endpoint. Because the endpoint updates and creation are asynchronous, so customers will need to wait for the endpoint to be Ready status before making inference requests.

message: Option<String>

Specifies a reason for failure in cases of Failed status.

model_arn: Option<String>

The Amazon Resource Number (ARN) of the model to which the endpoint is attached.

desired_model_arn: Option<String>

ARN of the new model to use for updating an existing endpoint. This ARN is going to be different from the model ARN when the update is in progress

desired_inference_units: Option<i32>

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

current_inference_units: Option<i32>

The number of inference units currently used by the model using this endpoint.

creation_time: Option<DateTime>

The creation date and time of the endpoint.

last_modified_time: Option<DateTime>

The date and time that the endpoint was last modified.

data_access_role_arn: Option<String>

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

desired_data_access_role_arn: Option<String>

Data access role ARN to use in case the new model is encrypted with a customer KMS key.

flywheel_arn: Option<String>

The Amazon Resource Number (ARN) of the flywheel

Implementations

impl EndpointProperties

pub fn endpoint_arn(&self) -> Option<&str>

The Amazon Resource Number (ARN) of the endpoint.

pub fn status(&self) -> Option<&EndpointStatus>

Specifies the status of the endpoint. Because the endpoint updates and creation are asynchronous, so customers will need to wait for the endpoint to be Ready status before making inference requests.

pub fn message(&self) -> Option<&str>

Specifies a reason for failure in cases of Failed status.

pub fn model_arn(&self) -> Option<&str>

The Amazon Resource Number (ARN) of the model to which the endpoint is attached.

pub fn desired_model_arn(&self) -> Option<&str>

ARN of the new model to use for updating an existing endpoint. This ARN is going to be different from the model ARN when the update is in progress

pub fn desired_inference_units(&self) -> Option<i32>

The desired number of inference units to be used by the model using this endpoint. Each inference unit represents of a throughput of 100 characters per second.

pub fn current_inference_units(&self) -> Option<i32>

The number of inference units currently used by the model using this endpoint.

pub fn creation_time(&self) -> Option<&DateTime>

The creation date and time of the endpoint.

pub fn last_modified_time(&self) -> Option<&DateTime>

The date and time that the endpoint was last modified.

pub fn data_access_role_arn(&self) -> Option<&str>

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to trained custom models encrypted with a customer managed key (ModelKmsKeyId).

pub fn desired_data_access_role_arn(&self) -> Option<&str>

Data access role ARN to use in case the new model is encrypted with a customer KMS key.

pub fn flywheel_arn(&self) -> Option<&str>

The Amazon Resource Number (ARN) of the flywheel

impl EndpointProperties

pub fn builder() -> EndpointPropertiesBuilder

Creates a new builder-style object to manufacture EndpointProperties.

Trait Implementations

impl Clone for EndpointProperties

fn clone(&self) -> EndpointProperties

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EndpointProperties

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for EndpointProperties

fn eq(&self, other: &EndpointProperties) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EndpointProperties