yandex-cloud 2025.4.14

/// Information about the dataset.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DatasetInfo {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Folder ID of the dataset.
    #[prost(string, tag = "2")]
    pub folder_id: ::prost::alloc::string::String,
    /// Name of the dataset.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// Description of the dataset.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// Metadata of the dataset.
    #[prost(string, tag = "5")]
    pub metadata: ::prost::alloc::string::String,
    /// Status of the dataset.
    #[prost(enumeration = "dataset_info::Status", tag = "6")]
    pub status: i32,
    /// Task type of the dataset.
    #[prost(string, tag = "7")]
    pub task_type: ::prost::alloc::string::String,
    /// Create dataset timestamp.
    #[prost(message, optional, tag = "8")]
    pub created_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Update dataset timestamp.
    #[prost(message, optional, tag = "9")]
    pub updated_at: ::core::option::Option<::prost_types::Timestamp>,
    /// Number of rows in the dataset.
    #[prost(int64, tag = "10")]
    pub rows: i64,
    /// Size of the dataset.
    #[prost(int64, tag = "11")]
    pub size_bytes: i64,
    /// Deprecated. Use created_by instead
    #[deprecated]
    #[prost(string, tag = "12")]
    pub created_by_id: ::prost::alloc::string::String,
    /// Labels of the dataset
    #[prost(map = "string, string", tag = "13")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// User ID of the dataset's creator.
    #[prost(string, tag = "14")]
    pub created_by: ::prost::alloc::string::String,
    /// User ID of the dataset's last updater.
    #[prost(string, tag = "15")]
    pub updated_by: ::prost::alloc::string::String,
    #[prost(message, repeated, tag = "21")]
    pub validation_error: ::prost::alloc::vec::Vec<ValidationError>,
    /// Allow to use the dataset to improve the models quality. Default false.
    #[prost(bool, tag = "22")]
    pub allow_data_log: bool,
}
/// Nested message and enum types in `DatasetInfo`.
pub mod dataset_info {
    /// Status of the dataset.
    #[derive(
        Clone,
        Copy,
        Debug,
        PartialEq,
        Eq,
        Hash,
        PartialOrd,
        Ord,
        ::prost::Enumeration
    )]
    #[repr(i32)]
    pub enum Status {
        Unspecified = 0,
        Draft = 1,
        Validating = 2,
        Ready = 3,
        Invalid = 4,
        Deleting = 5,
    }
    impl Status {
        /// String value of the enum field names used in the ProtoBuf definition.
        ///
        /// The values are not transformed in any way and thus are considered stable
        /// (if the ProtoBuf definition does not change) and safe for programmatic use.
        pub fn as_str_name(&self) -> &'static str {
            match self {
                Status::Unspecified => "STATUS_UNSPECIFIED",
                Status::Draft => "DRAFT",
                Status::Validating => "VALIDATING",
                Status::Ready => "READY",
                Status::Invalid => "INVALID",
                Status::Deleting => "DELETING",
            }
        }
        /// Creates an enum from field names used in the ProtoBuf definition.
        pub fn from_str_name(value: &str) -> ::core::option::Option<Self> {
            match value {
                "STATUS_UNSPECIFIED" => Some(Self::Unspecified),
                "DRAFT" => Some(Self::Draft),
                "VALIDATING" => Some(Self::Validating),
                "READY" => Some(Self::Ready),
                "INVALID" => Some(Self::Invalid),
                "DELETING" => Some(Self::Deleting),
                _ => None,
            }
        }
    }
}
/// Information about dataset validation error.
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ValidationError {
    /// Name of the validation error.
    #[prost(string, tag = "1")]
    pub error: ::prost::alloc::string::String,
    /// Description of the validation error.
    #[prost(string, tag = "2")]
    pub error_description: ::prost::alloc::string::String,
    /// Row numbers in which the error occurred.
    #[prost(int64, repeated, tag = "3")]
    pub row_numbers: ::prost::alloc::vec::Vec<i64>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DatasetUploadSchema {
    #[prost(string, tag = "1")]
    pub task_type: ::prost::alloc::string::String,
    #[prost(string, tag = "2")]
    pub upload_format: ::prost::alloc::string::String,
    #[prost(string, tag = "3")]
    pub schema: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DatasetFileDownloadUrl {
    #[prost(string, tag = "1")]
    pub key: ::prost::alloc::string::String,
    #[prost(string, tag = "2")]
    pub url: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DescribeDatasetRequest {
    /// ID of the dataset to describe.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DescribeDatasetResponse {
    /// Information about the dataset.
    #[prost(message, optional, tag = "1")]
    pub dataset: ::core::option::Option<DatasetInfo>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ValidateDatasetRequest {
    /// ID of the dataset to validate.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ValidateDatasetMetadata {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Count of valid rows among currently processed rows in the dataset.
    #[prost(int64, tag = "2")]
    pub valid_rows: i64,
    /// Count of currently processed rows in the dataset.
    #[prost(int64, tag = "3")]
    pub processed_rows: i64,
    /// Total count of rows in the dataset
    #[prost(int64, tag = "4")]
    pub total_rows: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ValidateDatasetResponse {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Validity marker.
    #[prost(bool, tag = "2")]
    pub is_valid: bool,
    /// A list of the dataset validation errors.
    #[prost(message, repeated, tag = "3")]
    pub errors: ::prost::alloc::vec::Vec<ValidationError>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteDatasetRequest {
    /// ID of the dataset to delete.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct DeleteDatasetResponse {}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateDatasetRequest {
    /// Name of the dataset.
    #[prost(string, tag = "1")]
    pub name: ::prost::alloc::string::String,
    /// Folder ID of the dataset.
    #[prost(string, tag = "2")]
    pub folder_id: ::prost::alloc::string::String,
    /// Description of the dataset. Optional.
    #[prost(string, tag = "3")]
    pub description: ::prost::alloc::string::String,
    /// Metadata of the dataset. Optional.
    #[prost(string, tag = "4")]
    pub metadata: ::prost::alloc::string::String,
    /// Task type of the dataset.
    #[prost(string, tag = "5")]
    pub task_type: ::prost::alloc::string::String,
    /// Labels of the dataset. Optional.
    #[prost(map = "string, string", tag = "6")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
    /// Upload format of the dataset.
    /// The list of supported upload formats can be retrieved via ListUploadFormats method.
    #[prost(string, tag = "7")]
    pub upload_format: ::prost::alloc::string::String,
    /// Allow to use the dataset to improve the models quality. Default false.
    #[prost(bool, tag = "8")]
    pub allow_data_log: bool,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct CreateDatasetResponse {
    /// ID of the created dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Information about the dataset.
    #[prost(message, optional, tag = "2")]
    pub dataset: ::core::option::Option<DatasetInfo>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateDatasetRequest {
    /// ID of the dataset to update.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// gRPC field mask.
    #[prost(message, optional, tag = "2")]
    pub update_mask: ::core::option::Option<::prost_types::FieldMask>,
    /// Name of the dataset.
    #[prost(string, tag = "3")]
    pub name: ::prost::alloc::string::String,
    /// Description of the dataset.
    #[prost(string, tag = "4")]
    pub description: ::prost::alloc::string::String,
    /// Labels of the dataset.
    #[prost(map = "string, string", tag = "5")]
    pub labels: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UpdateDatasetResponse {
    /// Information about updated dataset.
    #[prost(message, optional, tag = "1")]
    pub dataset: ::core::option::Option<DatasetInfo>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetUploadDraftUrlRequest {
    /// ID of the dataset to upload.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Size in bytes of the dataset to upload.
    #[prost(int64, tag = "2")]
    pub size_bytes: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetUploadDraftUrlResponse {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// S3 presigned URL for upload.
    #[prost(string, tag = "2")]
    pub upload_url: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct StartMultipartUploadDraftRequest {
    /// ID of the dataset to multipart upload.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Size in bytes of the dataset to upload.
    #[prost(int64, tag = "2")]
    pub size_bytes: i64,
    /// Number of parts in multipart upload. Optional.
    /// Dataset's part size should be between 5MB and 5GB.
    /// If not specified will be configured automatically.
    #[prost(int64, tag = "3")]
    pub parts: i64,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct StartMultipartUploadDraftResponse {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// List of S3 presigned URLs for multipart upload.
    #[prost(string, repeated, tag = "2")]
    pub multipart_upload_urls: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct UploadedPartInfo {
    /// Sequence number of the uploaded part.
    #[prost(int64, tag = "1")]
    pub part_num: i64,
    /// Etag of the uploaded part.
    #[prost(string, tag = "2")]
    pub etag: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FinishMultipartUploadDraftRequest {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// Information about uploaded parts from S3 API.
    #[prost(message, repeated, tag = "2")]
    pub uploaded_parts: ::prost::alloc::vec::Vec<UploadedPartInfo>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct FinishMultipartUploadDraftResponse {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListDatasetsRequest {
    /// Folder ID of the datasets to list.
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
    /// Statuses of the datasets to list. Optional.
    #[prost(enumeration = "dataset_info::Status", repeated, tag = "2")]
    pub status: ::prost::alloc::vec::Vec<i32>,
    /// Name substring of the datasets to list. Optional.
    #[prost(string, tag = "3")]
    pub dataset_name_pattern: ::prost::alloc::string::String,
    /// Task types of the datasets to list. Optional.
    #[prost(string, repeated, tag = "4")]
    pub task_type_filter: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
    /// The maximum number of results per page to return. If the number of available
    /// results is larger than \[page_size\],
    /// the service returns a \[ListDatasetsResponse.next_page_token\]
    /// that can be used to get the next page of results in subsequent list requests. Default value: 100.
    #[prost(int64, tag = "5")]
    pub page_size: i64,
    /// Page token. To get the next page of results, set \[page_token\] to the
    /// \[ListDatasetsResponse.next_page_token\] returned by a previous list request.
    #[prost(string, tag = "6")]
    pub page_token: ::prost::alloc::string::String,
    /// Dataset Id of the datasets to list. Optional.
    #[prost(string, repeated, tag = "7")]
    pub dataset_ids: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListDatasetsResponse {
    /// Information about listed datasets.
    #[prost(message, repeated, tag = "1")]
    pub datasets: ::prost::alloc::vec::Vec<DatasetInfo>,
    /// \[next_page_token\] token allows you to get the next page of results for list requests.
    /// If the number of results is larger than \[ListDatasetsRequest.page_size\], use
    /// the \[next_page_token\] as the value for the \[ListDatasetsRequest.page_token\] query parameter
    /// in the next list request. Each subsequent list request will have its own
    /// \[next_page_token\] to continue paging through the results.
    #[prost(string, tag = "2")]
    pub next_page_token: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListUploadFormatsRequest {
    /// Dataset task type to list upload formats.
    #[prost(string, tag = "1")]
    pub task_type: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListUploadFormatsResponse {
    /// List of upload formats for the specified dataset task type.
    #[prost(string, repeated, tag = "1")]
    pub formats: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListUploadSchemasRequest {
    /// Dataset task type to list schemas.
    #[prost(string, tag = "1")]
    pub task_type: ::prost::alloc::string::String,
    /// Folder to search task type (if empty only public types allowed)
    #[prost(string, tag = "2")]
    pub folder_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListUploadSchemasResponse {
    /// List of dataset schemas for the specified dataset task type.
    #[prost(message, repeated, tag = "1")]
    pub schemas: ::prost::alloc::vec::Vec<DatasetUploadSchema>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListTypesRequest {
    /// Folder to search task types (if empty only public types will be returned)
    #[prost(string, tag = "1")]
    pub folder_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListTypesResponse {
    /// List of dataset type
    #[prost(string, repeated, tag = "1")]
    pub types: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetDatasetPreviewRequest {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetDatasetPreviewResponse {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    /// List of dataset preview lines
    #[prost(string, repeated, tag = "2")]
    pub preview_lines: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetDownloadUrlsRequest {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct GetDownloadUrlsResponse {
    /// ID of the dataset.
    #[prost(string, tag = "1")]
    pub dataset_id: ::prost::alloc::string::String,
    #[prost(message, repeated, tag = "2")]
    pub download_urls: ::prost::alloc::vec::Vec<DatasetFileDownloadUrl>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListOperationsIdsRequest {
    #[prost(string, repeated, tag = "1")]
    pub dataset_id: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
}
#[allow(clippy::derive_partial_eq_without_eq)]
#[derive(Clone, PartialEq, ::prost::Message)]
pub struct ListOperationsIdsResponse {
    #[prost(map = "string, string", tag = "1")]
    pub dataset_id_to_operation_id: ::std::collections::HashMap<
        ::prost::alloc::string::String,
        ::prost::alloc::string::String,
    >,
}
/// Generated client implementations.
pub mod dataset_service_client {
    #![allow(unused_variables, dead_code, missing_docs, clippy::let_unit_value)]
    use tonic::codegen::*;
    use tonic::codegen::http::Uri;
    /// A set of methods for managing datasets.
    #[derive(Debug, Clone)]
    pub struct DatasetServiceClient<T> {
        inner: tonic::client::Grpc<T>,
    }
    impl DatasetServiceClient<tonic::transport::Channel> {
        /// Attempt to create a new client by connecting to a given endpoint.
        pub async fn connect<D>(dst: D) -> Result<Self, tonic::transport::Error>
        where
            D: TryInto<tonic::transport::Endpoint>,
            D::Error: Into<StdError>,
        {
            let conn = tonic::transport::Endpoint::new(dst)?.connect().await?;
            Ok(Self::new(conn))
        }
    }
    impl<T> DatasetServiceClient<T>
    where
        T: tonic::client::GrpcService<tonic::body::BoxBody>,
        T::Error: Into<StdError>,
        T::ResponseBody: Body<Data = Bytes> + Send + 'static,
        <T::ResponseBody as Body>::Error: Into<StdError> + Send,
    {
        pub fn new(inner: T) -> Self {
            let inner = tonic::client::Grpc::new(inner);
            Self { inner }
        }
        pub fn with_origin(inner: T, origin: Uri) -> Self {
            let inner = tonic::client::Grpc::with_origin(inner, origin);
            Self { inner }
        }
        pub fn with_interceptor<F>(
            inner: T,
            interceptor: F,
        ) -> DatasetServiceClient<InterceptedService<T, F>>
        where
            F: tonic::service::Interceptor,
            T::ResponseBody: Default,
            T: tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
                Response = http::Response<
                    <T as tonic::client::GrpcService<tonic::body::BoxBody>>::ResponseBody,
                >,
            >,
            <T as tonic::codegen::Service<
                http::Request<tonic::body::BoxBody>,
            >>::Error: Into<StdError> + Send + Sync,
        {
            DatasetServiceClient::new(InterceptedService::new(inner, interceptor))
        }
        /// Compress requests with the given encoding.
        ///
        /// This requires the server to support it otherwise it might respond with an
        /// error.
        #[must_use]
        pub fn send_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.send_compressed(encoding);
            self
        }
        /// Enable decompressing responses.
        #[must_use]
        pub fn accept_compressed(mut self, encoding: CompressionEncoding) -> Self {
            self.inner = self.inner.accept_compressed(encoding);
            self
        }
        /// Limits the maximum size of a decoded message.
        ///
        /// Default: `4MB`
        #[must_use]
        pub fn max_decoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_decoding_message_size(limit);
            self
        }
        /// Limits the maximum size of an encoded message.
        ///
        /// Default: `usize::MAX`
        #[must_use]
        pub fn max_encoding_message_size(mut self, limit: usize) -> Self {
            self.inner = self.inner.max_encoding_message_size(limit);
            self
        }
        /// Returns dataset information by dataset id.
        pub async fn describe(
            &mut self,
            request: impl tonic::IntoRequest<super::DescribeDatasetRequest>,
        ) -> std::result::Result<
            tonic::Response<super::DescribeDatasetResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/Describe",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "Describe",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Starts dataset validation process.
        pub async fn validate(
            &mut self,
            request: impl tonic::IntoRequest<super::ValidateDatasetRequest>,
        ) -> std::result::Result<
            tonic::Response<super::super::super::super::operation::Operation>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/Validate",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "Validate",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Creates dataset.
        pub async fn create(
            &mut self,
            request: impl tonic::IntoRequest<super::CreateDatasetRequest>,
        ) -> std::result::Result<
            tonic::Response<super::CreateDatasetResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/Create",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "Create",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Updates dataset.
        pub async fn update(
            &mut self,
            request: impl tonic::IntoRequest<super::UpdateDatasetRequest>,
        ) -> std::result::Result<
            tonic::Response<super::UpdateDatasetResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/Update",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "Update",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deletes dataset.
        pub async fn delete(
            &mut self,
            request: impl tonic::IntoRequest<super::DeleteDatasetRequest>,
        ) -> std::result::Result<
            tonic::Response<super::DeleteDatasetResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/Delete",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "Delete",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists datasets in specified folder.
        pub async fn list(
            &mut self,
            request: impl tonic::IntoRequest<super::ListDatasetsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListDatasetsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/List",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new("yandex.cloud.ai.dataset.v1.DatasetService", "List"),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Deprecated. Use ListUploadSchemas.
        pub async fn list_upload_formats(
            &mut self,
            request: impl tonic::IntoRequest<super::ListUploadFormatsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListUploadFormatsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/ListUploadFormats",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "ListUploadFormats",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Lists supported dataset upload formats types and schemas for the specified dataset task type.
        pub async fn list_upload_schemas(
            &mut self,
            request: impl tonic::IntoRequest<super::ListUploadSchemasRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListUploadSchemasResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/ListUploadSchemas",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "ListUploadSchemas",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Returns an S3 presigned URL for dataset upload.
        /// This method only applicable if the dataset size does not exceed 5GB.
        pub async fn get_upload_draft_url(
            &mut self,
            request: impl tonic::IntoRequest<super::GetUploadDraftUrlRequest>,
        ) -> std::result::Result<
            tonic::Response<super::GetUploadDraftUrlResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/GetUploadDraftUrl",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "GetUploadDraftUrl",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Get urls to download dataset
        pub async fn get_download_urls(
            &mut self,
            request: impl tonic::IntoRequest<super::GetDownloadUrlsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::GetDownloadUrlsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/GetDownloadUrls",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "GetDownloadUrls",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Returns a list of S3 presigned URLs for multipart upload of dataset.
        pub async fn start_multipart_upload_draft(
            &mut self,
            request: impl tonic::IntoRequest<super::StartMultipartUploadDraftRequest>,
        ) -> std::result::Result<
            tonic::Response<super::StartMultipartUploadDraftResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/StartMultipartUploadDraft",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "StartMultipartUploadDraft",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Finishes multipart upload of the dataset.
        pub async fn finish_multipart_upload_draft(
            &mut self,
            request: impl tonic::IntoRequest<super::FinishMultipartUploadDraftRequest>,
        ) -> std::result::Result<
            tonic::Response<super::FinishMultipartUploadDraftResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/FinishMultipartUploadDraft",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "FinishMultipartUploadDraft",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Returns a list of dataset types
        pub async fn list_types(
            &mut self,
            request: impl tonic::IntoRequest<super::ListTypesRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListTypesResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/ListTypes",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "ListTypes",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        /// Returns a preview of dataset types
        pub async fn get_preview(
            &mut self,
            request: impl tonic::IntoRequest<super::GetDatasetPreviewRequest>,
        ) -> std::result::Result<
            tonic::Response<super::GetDatasetPreviewResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/GetPreview",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "GetPreview",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
        pub async fn list_operations_ids(
            &mut self,
            request: impl tonic::IntoRequest<super::ListOperationsIdsRequest>,
        ) -> std::result::Result<
            tonic::Response<super::ListOperationsIdsResponse>,
            tonic::Status,
        > {
            self.inner
                .ready()
                .await
                .map_err(|e| {
                    tonic::Status::new(
                        tonic::Code::Unknown,
                        format!("Service was not ready: {}", e.into()),
                    )
                })?;
            let codec = tonic::codec::ProstCodec::default();
            let path = http::uri::PathAndQuery::from_static(
                "/yandex.cloud.ai.dataset.v1.DatasetService/ListOperationsIds",
            );
            let mut req = request.into_request();
            req.extensions_mut()
                .insert(
                    GrpcMethod::new(
                        "yandex.cloud.ai.dataset.v1.DatasetService",
                        "ListOperationsIds",
                    ),
                );
            self.inner.unary(req, path, codec).await
        }
    }
}