Struct ConversationModel 

#[non_exhaustive]
pub struct ConversationModel {
    pub name: String,
    pub display_name: String,
    pub create_time: Option<Timestamp>,
    pub datasets: Vec<InputDataset>,
    pub state: State,
    pub language_code: String,
    pub satisfies_pzs: Option<bool>,
    pub satisfies_pzi: Option<bool>,
    pub model_metadata: Option<ModelMetadata>,
    /* private fields */
}

Available on crate feature conversation-models only.

Represents a conversation model.

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.

name: String

ConversationModel resource name. Format: projects/<Project ID>/conversationModels/<Conversation Model ID>

display_name: String

Required. The display name of the model. At most 64 bytes long.

create_time: Option<Timestamp>

Output only. Creation time of this model.

datasets: Vec<InputDataset>

Required. Datasets used to create model.

state: State

Output only. State of the model. A model can only serve prediction requests after it gets deployed.

language_code: String

Language code for the conversation model. If not specified, the language is en-US. Language at ConversationModel should be set for all non en-us languages. This should be a BCP-47 language tag. Example: “en-US”.

satisfies_pzs: Option<bool>

Output only. A read only boolean field reflecting Zone Separation status of the model.

satisfies_pzi: Option<bool>

Output only. A read only boolean field reflecting Zone Isolation status of the model.

model_metadata: Option<ModelMetadata>

Required. The model metadata that is specific to the problem type. Must match the metadata type of the dataset used to train the model.

Implementations

impl ConversationModel

pub fn new() -> Self

pub fn set_name<T: Into<String>>(self, v: T) -> Self

Sets the value of name.

Example

let x = ConversationModel::new().set_name("example");

pub fn set_display_name<T: Into<String>>(self, v: T) -> Self

Sets the value of display_name.

Example

let x = ConversationModel::new().set_display_name("example");

pub fn set_create_time<T>(self, v: T) -> Self

where T: Into<Timestamp>,

Sets the value of create_time.

Example

use wkt::Timestamp;
let x = ConversationModel::new().set_create_time(Timestamp::default()/* use setters */);

pub fn set_or_clear_create_time<T>(self, v: Option<T>) -> Self

where T: Into<Timestamp>,

Sets or clears the value of create_time.

Example

use wkt::Timestamp;
let x = ConversationModel::new().set_or_clear_create_time(Some(Timestamp::default()/* use setters */));
let x = ConversationModel::new().set_or_clear_create_time(None::<Timestamp>);

pub fn set_datasets<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<InputDataset>,

Sets the value of datasets.

Example

use google_cloud_dialogflow_v2::model::InputDataset;
let x = ConversationModel::new()
    .set_datasets([
        InputDataset::default()/* use setters */,
        InputDataset::default()/* use (different) setters */,
    ]);

pub fn set_state<T: Into<State>>(self, v: T) -> Self

Sets the value of state.

Example

use google_cloud_dialogflow_v2::model::conversation_model::State;
let x0 = ConversationModel::new().set_state(State::Creating);
let x1 = ConversationModel::new().set_state(State::Undeployed);
let x2 = ConversationModel::new().set_state(State::Deploying);

pub fn set_language_code<T: Into<String>>(self, v: T) -> Self

Sets the value of language_code.

Example

let x = ConversationModel::new().set_language_code("example");

pub fn set_satisfies_pzs<T>(self, v: T) -> Self

where T: Into<bool>,

Sets the value of satisfies_pzs.

Example

let x = ConversationModel::new().set_satisfies_pzs(true);

pub fn set_or_clear_satisfies_pzs<T>(self, v: Option<T>) -> Self

where T: Into<bool>,

Sets or clears the value of satisfies_pzs.

Example

let x = ConversationModel::new().set_or_clear_satisfies_pzs(Some(false));
let x = ConversationModel::new().set_or_clear_satisfies_pzs(None::<bool>);

pub fn set_satisfies_pzi<T>(self, v: T) -> Self

where T: Into<bool>,

Sets the value of satisfies_pzi.

Example

let x = ConversationModel::new().set_satisfies_pzi(true);

pub fn set_or_clear_satisfies_pzi<T>(self, v: Option<T>) -> Self

where T: Into<bool>,

Sets or clears the value of satisfies_pzi.

Example

let x = ConversationModel::new().set_or_clear_satisfies_pzi(Some(false));
let x = ConversationModel::new().set_or_clear_satisfies_pzi(None::<bool>);

pub fn set_model_metadata<T: Into<Option<ModelMetadata>>>(self, v: T) -> Self

Sets the value of model_metadata.

Note that all the setters affecting model_metadata are mutually exclusive.

Example

use google_cloud_dialogflow_v2::model::ArticleSuggestionModelMetadata;
let x = ConversationModel::new().set_model_metadata(Some(
    google_cloud_dialogflow_v2::model::conversation_model::ModelMetadata::ArticleSuggestionModelMetadata(ArticleSuggestionModelMetadata::default().into())));

pub fn article_suggestion_model_metadata( &self, ) -> Option<&Box<ArticleSuggestionModelMetadata>>

The value of model_metadata if it holds a ArticleSuggestionModelMetadata, None if the field is not set or holds a different branch.

pub fn set_article_suggestion_model_metadata<T: Into<Box<ArticleSuggestionModelMetadata>>>( self, v: T, ) -> Self

Sets the value of model_metadata to hold a ArticleSuggestionModelMetadata.

Note that all the setters affecting model_metadata are mutually exclusive.

Example

use google_cloud_dialogflow_v2::model::ArticleSuggestionModelMetadata;
let x = ConversationModel::new().set_article_suggestion_model_metadata(ArticleSuggestionModelMetadata::default()/* use setters */);
assert!(x.article_suggestion_model_metadata().is_some());
assert!(x.smart_reply_model_metadata().is_none());

pub fn smart_reply_model_metadata( &self, ) -> Option<&Box<SmartReplyModelMetadata>>

The value of model_metadata if it holds a SmartReplyModelMetadata, None if the field is not set or holds a different branch.

pub fn set_smart_reply_model_metadata<T: Into<Box<SmartReplyModelMetadata>>>( self, v: T, ) -> Self

Sets the value of model_metadata to hold a SmartReplyModelMetadata.

Note that all the setters affecting model_metadata are mutually exclusive.

Example

use google_cloud_dialogflow_v2::model::SmartReplyModelMetadata;
let x = ConversationModel::new().set_smart_reply_model_metadata(SmartReplyModelMetadata::default()/* use setters */);
assert!(x.smart_reply_model_metadata().is_some());
assert!(x.article_suggestion_model_metadata().is_none());

Trait Implementations

impl Clone for ConversationModel

fn clone(&self) -> ConversationModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConversationModel

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

Formats the value using the given formatter.

impl Default for ConversationModel

fn default() -> ConversationModel

Returns the “default value” for a type.

impl Message for ConversationModel

fn typename() -> &'static str

The typename of this message.

impl PartialEq for ConversationModel

fn eq(&self, other: &ConversationModel) -> 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 ConversationModel