Struct ConversationDatasets 

pub struct ConversationDatasets { /* private fields */ }

Available on crate feature conversation-datasets only.

Implements a client for the Dialogflow API.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
    let client = ConversationDatasets::builder().build().await?;
    let parent = "parent_value";
    let mut list = client.list_conversation_datasets()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }

Service Description

Conversation datasets.

Conversation datasets contain raw conversation files and their customizable metadata that can be used for model training.

Configuration

To configure ConversationDatasets use the with_* methods in the type returned by builder(). The default configuration should work for most applications. Common configuration changes include

• with_endpoint(): by default this client uses the global default endpoint (https://dialogflow.googleapis.com). Applications using regional endpoints or running in restricted networks (e.g. a network configured override this default.
• with_credentials(): by default this client uses Application Default Credentials. Applications using custom authentication may need to override this default.

Pooling and Cloning

ConversationDatasets holds a connection pool internally, it is advised to create one and reuse it. You do not need to wrap ConversationDatasets in an Rc or Arc to reuse it, because it already uses an Arc internally.

Implementations

impl ConversationDatasets

pub fn builder() -> ClientBuilder

Returns a builder for ConversationDatasets.

let client = ConversationDatasets::builder().build().await?;

pub fn from_stub<T>(stub: T) -> Self

where T: ConversationDatasets + 'static,

Creates a new client from the provided stub.

The most common case for calling this function is in tests mocking the client’s behavior.

pub fn create_conversation_dataset(&self) -> CreateConversationDataset

Creates a new conversation dataset.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

• metadata: CreateConversationDatasetOperationMetadata
• response: ConversationDataset

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_dialogflow_v2::model::ConversationDataset;
use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets, parent: &str
) -> Result<()> {
    let response = client.create_conversation_dataset()
        .set_parent(parent)
        .set_conversation_dataset(
            ConversationDataset::new()/* set fields */
        )
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn get_conversation_dataset(&self) -> GetConversationDataset

Retrieves the specified conversation dataset.

Example

use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets, name: &str
) -> Result<()> {
    let response = client.get_conversation_dataset()
        .set_name(name)
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_conversation_datasets(&self) -> ListConversationDatasets

Returns the list of all conversation datasets in the specified project and location.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets, parent: &str
) -> Result<()> {
    let mut list = client.list_conversation_datasets()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn delete_conversation_dataset(&self) -> DeleteConversationDataset

Deletes the specified conversation dataset.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

• metadata: DeleteConversationDatasetOperationMetadata
• response: An Empty message

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets, name: &str
) -> Result<()> {
    client.delete_conversation_dataset()
        .set_name(name)
        .poller().until_done().await?;
    Ok(())
}

pub fn import_conversation_data(&self) -> ImportConversationData

Import data into the specified conversation dataset. Note that it is not allowed to import data to a conversation dataset that already has data in it.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

• metadata: ImportConversationDataOperationMetadata
• response: ImportConversationDataOperationResponse

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets
) -> Result<()> {
    let response = client.import_conversation_data()
        /* set fields */
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_locations(&self) -> ListLocations

Lists information about the supported locations for this service.

This method lists locations based on the resource scope provided in the [ListLocationsRequest.name] field:

• Global locations: If name is empty, the method lists the public locations available to all projects. * Project-specific locations: If name follows the format projects/{project}, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project.

For gRPC and client library implementations, the resource name is passed as the name field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets
) -> Result<()> {
    let mut list = client.list_locations()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn get_location(&self) -> GetLocation

Gets information about a location.

Example

use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets
) -> Result<()> {
    let response = client.get_location()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_operations(&self) -> ListOperations

Provides the Operations service functionality in this service.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets
) -> Result<()> {
    let mut list = client.list_operations()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn get_operation(&self) -> GetOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets
) -> Result<()> {
    let response = client.get_operation()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn cancel_operation(&self) -> CancelOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_dialogflow_v2::Result;
async fn sample(
   client: &ConversationDatasets
) -> Result<()> {
    client.cancel_operation()
        /* set fields */
        .send().await?;
    Ok(())
}

Trait Implementations

impl Clone for ConversationDatasets

fn clone(&self) -> ConversationDatasets

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConversationDatasets

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

Formats the value using the given formatter.