com.pulumi.googlenative.dialogflow.v2.outputs.GetConversationModelResult Maven / Gradle / Ivy
// *** WARNING: this file was generated by pulumi-java-gen. ***
// *** Do not edit by hand unless you're certain you know what you are doing! ***
package com.pulumi.googlenative.dialogflow.v2.outputs;
import com.pulumi.core.annotations.CustomType;
import com.pulumi.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse;
import com.pulumi.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2InputDatasetResponse;
import com.pulumi.googlenative.dialogflow.v2.outputs.GoogleCloudDialogflowV2SmartReplyModelMetadataResponse;
import java.lang.String;
import java.util.List;
import java.util.Objects;
@CustomType
public final class GetConversationModelResult {
/**
* @return Metadata for article suggestion models.
*
*/
private GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse articleSuggestionModelMetadata;
/**
* @return Creation time of this model.
*
*/
private String createTime;
/**
* @return Datasets used to create model.
*
*/
private List datasets;
/**
* @return The display name of the model. At most 64 bytes long.
*
*/
private String displayName;
/**
* @return 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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
*
*/
private String languageCode;
/**
* @return ConversationModel resource name. Format: `projects//conversationModels/`
*
*/
private String name;
/**
* @return Metadata for smart reply models.
*
*/
private GoogleCloudDialogflowV2SmartReplyModelMetadataResponse smartReplyModelMetadata;
/**
* @return State of the model. A model can only serve prediction requests after it gets deployed.
*
*/
private String state;
private GetConversationModelResult() {}
/**
* @return Metadata for article suggestion models.
*
*/
public GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse articleSuggestionModelMetadata() {
return this.articleSuggestionModelMetadata;
}
/**
* @return Creation time of this model.
*
*/
public String createTime() {
return this.createTime;
}
/**
* @return Datasets used to create model.
*
*/
public List datasets() {
return this.datasets;
}
/**
* @return The display name of the model. At most 64 bytes long.
*
*/
public String displayName() {
return this.displayName;
}
/**
* @return 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](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag. Example: "en-US".
*
*/
public String languageCode() {
return this.languageCode;
}
/**
* @return ConversationModel resource name. Format: `projects//conversationModels/`
*
*/
public String name() {
return this.name;
}
/**
* @return Metadata for smart reply models.
*
*/
public GoogleCloudDialogflowV2SmartReplyModelMetadataResponse smartReplyModelMetadata() {
return this.smartReplyModelMetadata;
}
/**
* @return State of the model. A model can only serve prediction requests after it gets deployed.
*
*/
public String state() {
return this.state;
}
public static Builder builder() {
return new Builder();
}
public static Builder builder(GetConversationModelResult defaults) {
return new Builder(defaults);
}
@CustomType.Builder
public static final class Builder {
private GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse articleSuggestionModelMetadata;
private String createTime;
private List datasets;
private String displayName;
private String languageCode;
private String name;
private GoogleCloudDialogflowV2SmartReplyModelMetadataResponse smartReplyModelMetadata;
private String state;
public Builder() {}
public Builder(GetConversationModelResult defaults) {
Objects.requireNonNull(defaults);
this.articleSuggestionModelMetadata = defaults.articleSuggestionModelMetadata;
this.createTime = defaults.createTime;
this.datasets = defaults.datasets;
this.displayName = defaults.displayName;
this.languageCode = defaults.languageCode;
this.name = defaults.name;
this.smartReplyModelMetadata = defaults.smartReplyModelMetadata;
this.state = defaults.state;
}
@CustomType.Setter
public Builder articleSuggestionModelMetadata(GoogleCloudDialogflowV2ArticleSuggestionModelMetadataResponse articleSuggestionModelMetadata) {
this.articleSuggestionModelMetadata = Objects.requireNonNull(articleSuggestionModelMetadata);
return this;
}
@CustomType.Setter
public Builder createTime(String createTime) {
this.createTime = Objects.requireNonNull(createTime);
return this;
}
@CustomType.Setter
public Builder datasets(List datasets) {
this.datasets = Objects.requireNonNull(datasets);
return this;
}
public Builder datasets(GoogleCloudDialogflowV2InputDatasetResponse... datasets) {
return datasets(List.of(datasets));
}
@CustomType.Setter
public Builder displayName(String displayName) {
this.displayName = Objects.requireNonNull(displayName);
return this;
}
@CustomType.Setter
public Builder languageCode(String languageCode) {
this.languageCode = Objects.requireNonNull(languageCode);
return this;
}
@CustomType.Setter
public Builder name(String name) {
this.name = Objects.requireNonNull(name);
return this;
}
@CustomType.Setter
public Builder smartReplyModelMetadata(GoogleCloudDialogflowV2SmartReplyModelMetadataResponse smartReplyModelMetadata) {
this.smartReplyModelMetadata = Objects.requireNonNull(smartReplyModelMetadata);
return this;
}
@CustomType.Setter
public Builder state(String state) {
this.state = Objects.requireNonNull(state);
return this;
}
public GetConversationModelResult build() {
final var o = new GetConversationModelResult();
o.articleSuggestionModelMetadata = articleSuggestionModelMetadata;
o.createTime = createTime;
o.datasets = datasets;
o.displayName = displayName;
o.languageCode = languageCode;
o.name = name;
o.smartReplyModelMetadata = smartReplyModelMetadata;
o.state = state;
return o;
}
}
}
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