Struct gapi_grpc::google::cloud::dialogflow::v2::agents_client::AgentsClient

pub struct AgentsClient<T> { /* fields omitted */ }

Service for managing [Agents][google.cloud.dialogflow.v2.Agent].

Implementations

impl AgentsClient<Channel>

pub async fn connect<D>(dst: D) -> Result<Self, Error> where
    D: TryInto<Endpoint>,
    D::Error: Into<StdError>, 

Attempt to create a new client by connecting to a given endpoint.

impl<T> AgentsClient<T> where
    T: GrpcService<BoxBody>,
    T::ResponseBody: Body + HttpBody + Send + 'static,
    T::Error: Into<StdError>,
    <T::ResponseBody as HttpBody>::Error: Into<StdError> + Send, 

pub fn new(inner: T) -> Self

pub fn with_interceptor(inner: T, interceptor: impl Into<Interceptor>) -> Self

pub async fn get_agent(
    &mut self,
    request: impl IntoRequest<GetAgentRequest>
) -> Result<Response<Agent>, Status>

Retrieves the specified agent.

pub async fn set_agent(
    &mut self,
    request: impl IntoRequest<SetAgentRequest>
) -> Result<Response<Agent>, Status>

Creates/updates the specified agent.

pub async fn delete_agent(
    &mut self,
    request: impl IntoRequest<DeleteAgentRequest>
) -> Result<Response<()>, Status>

Deletes the specified agent.

pub async fn search_agents(
    &mut self,
    request: impl IntoRequest<SearchAgentsRequest>
) -> Result<Response<SearchAgentsResponse>, Status>

Returns the list of agents.

Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id “-”. Refer to List Sub-Collections.

pub async fn train_agent(
    &mut self,
    request: impl IntoRequest<TrainAgentRequest>
) -> Result<Response<Operation>, Status>

Trains the specified agent.

Operation <response: [google.protobuf.Empty][google.protobuf.Empty]>

pub async fn export_agent(
    &mut self,
    request: impl IntoRequest<ExportAgentRequest>
) -> Result<Response<Operation>, Status>

Exports the specified agent to a ZIP file.

Operation <response: [ExportAgentResponse][google.cloud.dialogflow.v2.ExportAgentResponse]>

pub async fn import_agent(
    &mut self,
    request: impl IntoRequest<ImportAgentRequest>
) -> Result<Response<Operation>, Status>

Imports the specified agent from a ZIP file.

Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from [ImportAgentRequest][google.cloud.dialogflow.v2.ImportAgentRequest]. After the import, the imported draft agent will be trained automatically (unless disabled in agent settings). However, once the import is done, training may not be completed yet. Please call [TrainAgent][google.cloud.dialogflow.v2.Agents.TrainAgent] and wait for the operation it returns in order to train explicitly.

Operation <response: [google.protobuf.Empty][google.protobuf.Empty]> An operation which tracks when importing is complete. It only tracks when the draft agent is updated not when it is done training.

pub async fn restore_agent(
    &mut self,
    request: impl IntoRequest<RestoreAgentRequest>
) -> Result<Response<Operation>, Status>

Restores the specified agent from a ZIP file.

Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. After the restore, the restored draft agent will be trained automatically (unless disabled in agent settings). However, once the restore is done, training may not be completed yet. Please call [TrainAgent][google.cloud.dialogflow.v2.Agents.TrainAgent] and wait for the operation it returns in order to train explicitly.

Operation <response: [google.protobuf.Empty][google.protobuf.Empty]> An operation which tracks when restoring is complete. It only tracks when the draft agent is updated not when it is done training.

pub async fn get_validation_result(
    &mut self,
    request: impl IntoRequest<GetValidationResultRequest>
) -> Result<Response<ValidationResult>, Status>

Gets agent validation result. Agent validation is performed during training time and is updated automatically when training is completed.

Trait Implementations

impl<T: Clone> Clone for AgentsClient<T>

fn clone(&self) -> Self

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<T> Debug for AgentsClient<T>

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

Formats the value using the given formatter.