Struct google_api_proto::google::cloud::aiplatform::v1::Endpoint

pub struct Endpoint {

    pub name: String,
    pub display_name: String,
    pub description: String,
    pub deployed_models: Vec<DeployedModel>,
    pub traffic_split: BTreeMap<String, i32>,
    pub etag: String,
    pub labels: BTreeMap<String, String>,
    pub create_time: Option<Timestamp>,
    pub update_time: Option<Timestamp>,
    pub encryption_spec: Option<EncryptionSpec>,
    pub network: String,
    pub enable_private_service_connect: bool,
    pub private_service_connect_config: Option<PrivateServiceConnectConfig>,
    pub model_deployment_monitoring_job: String,
    pub predict_request_response_logging_config: Option<PredictRequestResponseLoggingConfig>,
}

Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.

Fields

name: String

Output only. The resource name of the Endpoint.

display_name: String

Required. The display name of the Endpoint. The name can be up to 128 characters long and can consist of any UTF-8 characters.

description: String

The description of the Endpoint.

deployed_models: Vec<DeployedModel>

Output only. The models deployed in this Endpoint. To add or remove DeployedModels use [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel] and [EndpointService.UndeployModel][google.cloud.aiplatform.v1.EndpointService.UndeployModel] respectively.

traffic_split: BTreeMap<String, i32>

A map from a DeployedModel’s ID to the percentage of this Endpoint’s traffic that should be forwarded to that DeployedModel.

If a DeployedModel’s ID is not listed in this map, then it receives no traffic.

The traffic percentage values must add up to 100, or map must be empty if the Endpoint is to not accept any traffic at a moment.

etag: String

Used to perform consistent read-modify-write updates. If not set, a blind “overwrite” update happens.

labels: BTreeMap<String, String>

The labels with user-defined metadata to organize your Endpoints.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.

See https://goo.gl/xmQnxf for more information and examples of labels.

create_time: Option<Timestamp>

Output only. Timestamp when this Endpoint was created.

update_time: Option<Timestamp>

Output only. Timestamp when this Endpoint was last updated.

encryption_spec: Option<EncryptionSpec>

Customer-managed encryption key spec for an Endpoint. If set, this Endpoint and all sub-resources of this Endpoint will be secured by this key.

network: String

Optional. The full name of the Google Compute Engine network to which the Endpoint should be peered.

Private services access must already be configured for the network. If left unspecified, the Endpoint is not peered with any network.

Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect], can be set.

Format: projects/{project}/global/networks/{network}. Where {project} is a project number, as in 12345, and {network} is network name.

enable_private_service_connect: bool

👎Deprecated

Deprecated: If true, expose the Endpoint via private service connect.

Only one of the fields, [network][google.cloud.aiplatform.v1.Endpoint.network] or [enable_private_service_connect][google.cloud.aiplatform.v1.Endpoint.enable_private_service_connect], can be set.

private_service_connect_config: Option<PrivateServiceConnectConfig>

Optional. Configuration for private service connect.

[network][google.cloud.aiplatform.v1.Endpoint.network] and [private_service_connect_config][google.cloud.aiplatform.v1.Endpoint.private_service_connect_config] are mutually exclusive.

model_deployment_monitoring_job: String

Output only. Resource name of the Model Monitoring job associated with this Endpoint if monitoring is enabled by [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1.JobService.CreateModelDeploymentMonitoringJob]. Format: projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}

predict_request_response_logging_config: Option<PredictRequestResponseLoggingConfig>

Configures the request-response logging for online prediction.

Trait Implementations

impl Clone for Endpoint

fn clone(&self) -> Endpoint

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Endpoint

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

Formats the value using the given formatter.

impl Default for Endpoint

fn default() -> Self

Returns the “default value” for a type.

impl Message for Endpoint

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited<B>(&self, buf: &mut B) -> Result<(), EncodeError>

where B: BufMut, Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited<B>(buf: B) -> Result<Self, DecodeError>

where B: Buf, Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited<B>(&mut self, buf: B) -> Result<(), DecodeError>

where B: Buf, Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for Endpoint

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for Endpoint