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tensorboard_client.go
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tensorboard_client.go
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// Copyright 2022 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Code generated by protoc-gen-go_gapic. DO NOT EDIT.
package aiplatform
import (
"context"
"fmt"
"math"
"net/url"
"time"
"cloud.google.com/go/longrunning"
lroauto "cloud.google.com/go/longrunning/autogen"
gax "github.com/googleapis/gax-go/v2"
"google.golang.org/api/iterator"
"google.golang.org/api/option"
"google.golang.org/api/option/internaloption"
gtransport "google.golang.org/api/transport/grpc"
aiplatformpb "google.golang.org/genproto/googleapis/cloud/aiplatform/v1"
longrunningpb "google.golang.org/genproto/googleapis/longrunning"
"google.golang.org/grpc"
"google.golang.org/grpc/metadata"
"google.golang.org/protobuf/proto"
)
var newTensorboardClientHook clientHook
// TensorboardCallOptions contains the retry settings for each method of TensorboardClient.
type TensorboardCallOptions struct {
CreateTensorboard []gax.CallOption
GetTensorboard []gax.CallOption
UpdateTensorboard []gax.CallOption
ListTensorboards []gax.CallOption
DeleteTensorboard []gax.CallOption
CreateTensorboardExperiment []gax.CallOption
GetTensorboardExperiment []gax.CallOption
UpdateTensorboardExperiment []gax.CallOption
ListTensorboardExperiments []gax.CallOption
DeleteTensorboardExperiment []gax.CallOption
CreateTensorboardRun []gax.CallOption
BatchCreateTensorboardRuns []gax.CallOption
GetTensorboardRun []gax.CallOption
UpdateTensorboardRun []gax.CallOption
ListTensorboardRuns []gax.CallOption
DeleteTensorboardRun []gax.CallOption
BatchCreateTensorboardTimeSeries []gax.CallOption
CreateTensorboardTimeSeries []gax.CallOption
GetTensorboardTimeSeries []gax.CallOption
UpdateTensorboardTimeSeries []gax.CallOption
ListTensorboardTimeSeries []gax.CallOption
DeleteTensorboardTimeSeries []gax.CallOption
BatchReadTensorboardTimeSeriesData []gax.CallOption
ReadTensorboardTimeSeriesData []gax.CallOption
ReadTensorboardBlobData []gax.CallOption
WriteTensorboardExperimentData []gax.CallOption
WriteTensorboardRunData []gax.CallOption
ExportTensorboardTimeSeriesData []gax.CallOption
}
func defaultTensorboardGRPCClientOptions() []option.ClientOption {
return []option.ClientOption{
internaloption.WithDefaultEndpoint("aiplatform.googleapis.com:443"),
internaloption.WithDefaultMTLSEndpoint("aiplatform.mtls.googleapis.com:443"),
internaloption.WithDefaultAudience("https://aiplatform.googleapis.com/"),
internaloption.WithDefaultScopes(DefaultAuthScopes()...),
internaloption.EnableJwtWithScope(),
option.WithGRPCDialOption(grpc.WithDefaultCallOptions(
grpc.MaxCallRecvMsgSize(math.MaxInt32))),
}
}
func defaultTensorboardCallOptions() *TensorboardCallOptions {
return &TensorboardCallOptions{
CreateTensorboard: []gax.CallOption{},
GetTensorboard: []gax.CallOption{},
UpdateTensorboard: []gax.CallOption{},
ListTensorboards: []gax.CallOption{},
DeleteTensorboard: []gax.CallOption{},
CreateTensorboardExperiment: []gax.CallOption{},
GetTensorboardExperiment: []gax.CallOption{},
UpdateTensorboardExperiment: []gax.CallOption{},
ListTensorboardExperiments: []gax.CallOption{},
DeleteTensorboardExperiment: []gax.CallOption{},
CreateTensorboardRun: []gax.CallOption{},
BatchCreateTensorboardRuns: []gax.CallOption{},
GetTensorboardRun: []gax.CallOption{},
UpdateTensorboardRun: []gax.CallOption{},
ListTensorboardRuns: []gax.CallOption{},
DeleteTensorboardRun: []gax.CallOption{},
BatchCreateTensorboardTimeSeries: []gax.CallOption{},
CreateTensorboardTimeSeries: []gax.CallOption{},
GetTensorboardTimeSeries: []gax.CallOption{},
UpdateTensorboardTimeSeries: []gax.CallOption{},
ListTensorboardTimeSeries: []gax.CallOption{},
DeleteTensorboardTimeSeries: []gax.CallOption{},
BatchReadTensorboardTimeSeriesData: []gax.CallOption{},
ReadTensorboardTimeSeriesData: []gax.CallOption{},
ReadTensorboardBlobData: []gax.CallOption{},
WriteTensorboardExperimentData: []gax.CallOption{},
WriteTensorboardRunData: []gax.CallOption{},
ExportTensorboardTimeSeriesData: []gax.CallOption{},
}
}
// internalTensorboardClient is an interface that defines the methods availaible from Vertex AI API.
type internalTensorboardClient interface {
Close() error
setGoogleClientInfo(...string)
Connection() *grpc.ClientConn
CreateTensorboard(context.Context, *aiplatformpb.CreateTensorboardRequest, ...gax.CallOption) (*CreateTensorboardOperation, error)
CreateTensorboardOperation(name string) *CreateTensorboardOperation
GetTensorboard(context.Context, *aiplatformpb.GetTensorboardRequest, ...gax.CallOption) (*aiplatformpb.Tensorboard, error)
UpdateTensorboard(context.Context, *aiplatformpb.UpdateTensorboardRequest, ...gax.CallOption) (*UpdateTensorboardOperation, error)
UpdateTensorboardOperation(name string) *UpdateTensorboardOperation
ListTensorboards(context.Context, *aiplatformpb.ListTensorboardsRequest, ...gax.CallOption) *TensorboardIterator
DeleteTensorboard(context.Context, *aiplatformpb.DeleteTensorboardRequest, ...gax.CallOption) (*DeleteTensorboardOperation, error)
DeleteTensorboardOperation(name string) *DeleteTensorboardOperation
CreateTensorboardExperiment(context.Context, *aiplatformpb.CreateTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error)
GetTensorboardExperiment(context.Context, *aiplatformpb.GetTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error)
UpdateTensorboardExperiment(context.Context, *aiplatformpb.UpdateTensorboardExperimentRequest, ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error)
ListTensorboardExperiments(context.Context, *aiplatformpb.ListTensorboardExperimentsRequest, ...gax.CallOption) *TensorboardExperimentIterator
DeleteTensorboardExperiment(context.Context, *aiplatformpb.DeleteTensorboardExperimentRequest, ...gax.CallOption) (*DeleteTensorboardExperimentOperation, error)
DeleteTensorboardExperimentOperation(name string) *DeleteTensorboardExperimentOperation
CreateTensorboardRun(context.Context, *aiplatformpb.CreateTensorboardRunRequest, ...gax.CallOption) (*aiplatformpb.TensorboardRun, error)
BatchCreateTensorboardRuns(context.Context, *aiplatformpb.BatchCreateTensorboardRunsRequest, ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardRunsResponse, error)
GetTensorboardRun(context.Context, *aiplatformpb.GetTensorboardRunRequest, ...gax.CallOption) (*aiplatformpb.TensorboardRun, error)
UpdateTensorboardRun(context.Context, *aiplatformpb.UpdateTensorboardRunRequest, ...gax.CallOption) (*aiplatformpb.TensorboardRun, error)
ListTensorboardRuns(context.Context, *aiplatformpb.ListTensorboardRunsRequest, ...gax.CallOption) *TensorboardRunIterator
DeleteTensorboardRun(context.Context, *aiplatformpb.DeleteTensorboardRunRequest, ...gax.CallOption) (*DeleteTensorboardRunOperation, error)
DeleteTensorboardRunOperation(name string) *DeleteTensorboardRunOperation
BatchCreateTensorboardTimeSeries(context.Context, *aiplatformpb.BatchCreateTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardTimeSeriesResponse, error)
CreateTensorboardTimeSeries(context.Context, *aiplatformpb.CreateTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error)
GetTensorboardTimeSeries(context.Context, *aiplatformpb.GetTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error)
UpdateTensorboardTimeSeries(context.Context, *aiplatformpb.UpdateTensorboardTimeSeriesRequest, ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error)
ListTensorboardTimeSeries(context.Context, *aiplatformpb.ListTensorboardTimeSeriesRequest, ...gax.CallOption) *TensorboardTimeSeriesIterator
DeleteTensorboardTimeSeries(context.Context, *aiplatformpb.DeleteTensorboardTimeSeriesRequest, ...gax.CallOption) (*DeleteTensorboardTimeSeriesOperation, error)
DeleteTensorboardTimeSeriesOperation(name string) *DeleteTensorboardTimeSeriesOperation
BatchReadTensorboardTimeSeriesData(context.Context, *aiplatformpb.BatchReadTensorboardTimeSeriesDataRequest, ...gax.CallOption) (*aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse, error)
ReadTensorboardTimeSeriesData(context.Context, *aiplatformpb.ReadTensorboardTimeSeriesDataRequest, ...gax.CallOption) (*aiplatformpb.ReadTensorboardTimeSeriesDataResponse, error)
ReadTensorboardBlobData(context.Context, *aiplatformpb.ReadTensorboardBlobDataRequest, ...gax.CallOption) (aiplatformpb.TensorboardService_ReadTensorboardBlobDataClient, error)
WriteTensorboardExperimentData(context.Context, *aiplatformpb.WriteTensorboardExperimentDataRequest, ...gax.CallOption) (*aiplatformpb.WriteTensorboardExperimentDataResponse, error)
WriteTensorboardRunData(context.Context, *aiplatformpb.WriteTensorboardRunDataRequest, ...gax.CallOption) (*aiplatformpb.WriteTensorboardRunDataResponse, error)
ExportTensorboardTimeSeriesData(context.Context, *aiplatformpb.ExportTensorboardTimeSeriesDataRequest, ...gax.CallOption) *TimeSeriesDataPointIterator
}
// TensorboardClient is a client for interacting with Vertex AI API.
// Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.
//
// TensorboardService
type TensorboardClient struct {
// The internal transport-dependent client.
internalClient internalTensorboardClient
// The call options for this service.
CallOptions *TensorboardCallOptions
// LROClient is used internally to handle long-running operations.
// It is exposed so that its CallOptions can be modified if required.
// Users should not Close this client.
LROClient *lroauto.OperationsClient
}
// Wrapper methods routed to the internal client.
// Close closes the connection to the API service. The user should invoke this when
// the client is no longer required.
func (c *TensorboardClient) Close() error {
return c.internalClient.Close()
}
// setGoogleClientInfo sets the name and version of the application in
// the `x-goog-api-client` header passed on each request. Intended for
// use by Google-written clients.
func (c *TensorboardClient) setGoogleClientInfo(keyval ...string) {
c.internalClient.setGoogleClientInfo(keyval...)
}
// Connection returns a connection to the API service.
//
// Deprecated.
func (c *TensorboardClient) Connection() *grpc.ClientConn {
return c.internalClient.Connection()
}
// CreateTensorboard creates a Tensorboard.
func (c *TensorboardClient) CreateTensorboard(ctx context.Context, req *aiplatformpb.CreateTensorboardRequest, opts ...gax.CallOption) (*CreateTensorboardOperation, error) {
return c.internalClient.CreateTensorboard(ctx, req, opts...)
}
// CreateTensorboardOperation returns a new CreateTensorboardOperation from a given name.
// The name must be that of a previously created CreateTensorboardOperation, possibly from a different process.
func (c *TensorboardClient) CreateTensorboardOperation(name string) *CreateTensorboardOperation {
return c.internalClient.CreateTensorboardOperation(name)
}
// GetTensorboard gets a Tensorboard.
func (c *TensorboardClient) GetTensorboard(ctx context.Context, req *aiplatformpb.GetTensorboardRequest, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) {
return c.internalClient.GetTensorboard(ctx, req, opts...)
}
// UpdateTensorboard updates a Tensorboard.
func (c *TensorboardClient) UpdateTensorboard(ctx context.Context, req *aiplatformpb.UpdateTensorboardRequest, opts ...gax.CallOption) (*UpdateTensorboardOperation, error) {
return c.internalClient.UpdateTensorboard(ctx, req, opts...)
}
// UpdateTensorboardOperation returns a new UpdateTensorboardOperation from a given name.
// The name must be that of a previously created UpdateTensorboardOperation, possibly from a different process.
func (c *TensorboardClient) UpdateTensorboardOperation(name string) *UpdateTensorboardOperation {
return c.internalClient.UpdateTensorboardOperation(name)
}
// ListTensorboards lists Tensorboards in a Location.
func (c *TensorboardClient) ListTensorboards(ctx context.Context, req *aiplatformpb.ListTensorboardsRequest, opts ...gax.CallOption) *TensorboardIterator {
return c.internalClient.ListTensorboards(ctx, req, opts...)
}
// DeleteTensorboard deletes a Tensorboard.
func (c *TensorboardClient) DeleteTensorboard(ctx context.Context, req *aiplatformpb.DeleteTensorboardRequest, opts ...gax.CallOption) (*DeleteTensorboardOperation, error) {
return c.internalClient.DeleteTensorboard(ctx, req, opts...)
}
// DeleteTensorboardOperation returns a new DeleteTensorboardOperation from a given name.
// The name must be that of a previously created DeleteTensorboardOperation, possibly from a different process.
func (c *TensorboardClient) DeleteTensorboardOperation(name string) *DeleteTensorboardOperation {
return c.internalClient.DeleteTensorboardOperation(name)
}
// CreateTensorboardExperiment creates a TensorboardExperiment.
func (c *TensorboardClient) CreateTensorboardExperiment(ctx context.Context, req *aiplatformpb.CreateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) {
return c.internalClient.CreateTensorboardExperiment(ctx, req, opts...)
}
// GetTensorboardExperiment gets a TensorboardExperiment.
func (c *TensorboardClient) GetTensorboardExperiment(ctx context.Context, req *aiplatformpb.GetTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) {
return c.internalClient.GetTensorboardExperiment(ctx, req, opts...)
}
// UpdateTensorboardExperiment updates a TensorboardExperiment.
func (c *TensorboardClient) UpdateTensorboardExperiment(ctx context.Context, req *aiplatformpb.UpdateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) {
return c.internalClient.UpdateTensorboardExperiment(ctx, req, opts...)
}
// ListTensorboardExperiments lists TensorboardExperiments in a Location.
func (c *TensorboardClient) ListTensorboardExperiments(ctx context.Context, req *aiplatformpb.ListTensorboardExperimentsRequest, opts ...gax.CallOption) *TensorboardExperimentIterator {
return c.internalClient.ListTensorboardExperiments(ctx, req, opts...)
}
// DeleteTensorboardExperiment deletes a TensorboardExperiment.
func (c *TensorboardClient) DeleteTensorboardExperiment(ctx context.Context, req *aiplatformpb.DeleteTensorboardExperimentRequest, opts ...gax.CallOption) (*DeleteTensorboardExperimentOperation, error) {
return c.internalClient.DeleteTensorboardExperiment(ctx, req, opts...)
}
// DeleteTensorboardExperimentOperation returns a new DeleteTensorboardExperimentOperation from a given name.
// The name must be that of a previously created DeleteTensorboardExperimentOperation, possibly from a different process.
func (c *TensorboardClient) DeleteTensorboardExperimentOperation(name string) *DeleteTensorboardExperimentOperation {
return c.internalClient.DeleteTensorboardExperimentOperation(name)
}
// CreateTensorboardRun creates a TensorboardRun.
func (c *TensorboardClient) CreateTensorboardRun(ctx context.Context, req *aiplatformpb.CreateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) {
return c.internalClient.CreateTensorboardRun(ctx, req, opts...)
}
// BatchCreateTensorboardRuns batch create TensorboardRuns.
func (c *TensorboardClient) BatchCreateTensorboardRuns(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardRunsRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardRunsResponse, error) {
return c.internalClient.BatchCreateTensorboardRuns(ctx, req, opts...)
}
// GetTensorboardRun gets a TensorboardRun.
func (c *TensorboardClient) GetTensorboardRun(ctx context.Context, req *aiplatformpb.GetTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) {
return c.internalClient.GetTensorboardRun(ctx, req, opts...)
}
// UpdateTensorboardRun updates a TensorboardRun.
func (c *TensorboardClient) UpdateTensorboardRun(ctx context.Context, req *aiplatformpb.UpdateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) {
return c.internalClient.UpdateTensorboardRun(ctx, req, opts...)
}
// ListTensorboardRuns lists TensorboardRuns in a Location.
func (c *TensorboardClient) ListTensorboardRuns(ctx context.Context, req *aiplatformpb.ListTensorboardRunsRequest, opts ...gax.CallOption) *TensorboardRunIterator {
return c.internalClient.ListTensorboardRuns(ctx, req, opts...)
}
// DeleteTensorboardRun deletes a TensorboardRun.
func (c *TensorboardClient) DeleteTensorboardRun(ctx context.Context, req *aiplatformpb.DeleteTensorboardRunRequest, opts ...gax.CallOption) (*DeleteTensorboardRunOperation, error) {
return c.internalClient.DeleteTensorboardRun(ctx, req, opts...)
}
// DeleteTensorboardRunOperation returns a new DeleteTensorboardRunOperation from a given name.
// The name must be that of a previously created DeleteTensorboardRunOperation, possibly from a different process.
func (c *TensorboardClient) DeleteTensorboardRunOperation(name string) *DeleteTensorboardRunOperation {
return c.internalClient.DeleteTensorboardRunOperation(name)
}
// BatchCreateTensorboardTimeSeries batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
func (c *TensorboardClient) BatchCreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardTimeSeriesResponse, error) {
return c.internalClient.BatchCreateTensorboardTimeSeries(ctx, req, opts...)
}
// CreateTensorboardTimeSeries creates a TensorboardTimeSeries.
func (c *TensorboardClient) CreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.CreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) {
return c.internalClient.CreateTensorboardTimeSeries(ctx, req, opts...)
}
// GetTensorboardTimeSeries gets a TensorboardTimeSeries.
func (c *TensorboardClient) GetTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.GetTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) {
return c.internalClient.GetTensorboardTimeSeries(ctx, req, opts...)
}
// UpdateTensorboardTimeSeries updates a TensorboardTimeSeries.
func (c *TensorboardClient) UpdateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.UpdateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) {
return c.internalClient.UpdateTensorboardTimeSeries(ctx, req, opts...)
}
// ListTensorboardTimeSeries lists TensorboardTimeSeries in a Location.
func (c *TensorboardClient) ListTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.ListTensorboardTimeSeriesRequest, opts ...gax.CallOption) *TensorboardTimeSeriesIterator {
return c.internalClient.ListTensorboardTimeSeries(ctx, req, opts...)
}
// DeleteTensorboardTimeSeries deletes a TensorboardTimeSeries.
func (c *TensorboardClient) DeleteTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.DeleteTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*DeleteTensorboardTimeSeriesOperation, error) {
return c.internalClient.DeleteTensorboardTimeSeries(ctx, req, opts...)
}
// DeleteTensorboardTimeSeriesOperation returns a new DeleteTensorboardTimeSeriesOperation from a given name.
// The name must be that of a previously created DeleteTensorboardTimeSeriesOperation, possibly from a different process.
func (c *TensorboardClient) DeleteTensorboardTimeSeriesOperation(name string) *DeleteTensorboardTimeSeriesOperation {
return c.internalClient.DeleteTensorboardTimeSeriesOperation(name)
}
// BatchReadTensorboardTimeSeriesData reads multiple TensorboardTimeSeries’ data. The data point number limit is
// 1000 for scalars, 100 for tensors and blob references. If the number of
// data points stored is less than the limit, all data will be returned.
// Otherwise, that limit number of data points will be randomly selected from
// this time series and returned.
func (c *TensorboardClient) BatchReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.BatchReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse, error) {
return c.internalClient.BatchReadTensorboardTimeSeriesData(ctx, req, opts...)
}
// ReadTensorboardTimeSeriesData reads a TensorboardTimeSeries’ data. By default, if the number of data
// points stored is less than 1000, all data will be returned. Otherwise, 1000
// data points will be randomly selected from this time series and returned.
// This value can be changed by changing max_data_points, which can’t be
// greater than 10k.
func (c *TensorboardClient) ReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.ReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.ReadTensorboardTimeSeriesDataResponse, error) {
return c.internalClient.ReadTensorboardTimeSeriesData(ctx, req, opts...)
}
// ReadTensorboardBlobData gets bytes of TensorboardBlobs.
// This is to allow reading blob data stored in consumer project’s Cloud
// Storage bucket without users having to obtain Cloud Storage access
// permission.
func (c *TensorboardClient) ReadTensorboardBlobData(ctx context.Context, req *aiplatformpb.ReadTensorboardBlobDataRequest, opts ...gax.CallOption) (aiplatformpb.TensorboardService_ReadTensorboardBlobDataClient, error) {
return c.internalClient.ReadTensorboardBlobData(ctx, req, opts...)
}
// WriteTensorboardExperimentData write time series data points of multiple TensorboardTimeSeries in multiple
// TensorboardRun’s. If any data fail to be ingested, an error will be
// returned.
func (c *TensorboardClient) WriteTensorboardExperimentData(ctx context.Context, req *aiplatformpb.WriteTensorboardExperimentDataRequest, opts ...gax.CallOption) (*aiplatformpb.WriteTensorboardExperimentDataResponse, error) {
return c.internalClient.WriteTensorboardExperimentData(ctx, req, opts...)
}
// WriteTensorboardRunData write time series data points into multiple TensorboardTimeSeries under
// a TensorboardRun. If any data fail to be ingested, an error will be
// returned.
func (c *TensorboardClient) WriteTensorboardRunData(ctx context.Context, req *aiplatformpb.WriteTensorboardRunDataRequest, opts ...gax.CallOption) (*aiplatformpb.WriteTensorboardRunDataResponse, error) {
return c.internalClient.WriteTensorboardRunData(ctx, req, opts...)
}
// ExportTensorboardTimeSeriesData exports a TensorboardTimeSeries’ data. Data is returned in paginated
// responses.
func (c *TensorboardClient) ExportTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.ExportTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) *TimeSeriesDataPointIterator {
return c.internalClient.ExportTensorboardTimeSeriesData(ctx, req, opts...)
}
// tensorboardGRPCClient is a client for interacting with Vertex AI API over gRPC transport.
//
// Methods, except Close, may be called concurrently. However, fields must not be modified concurrently with method calls.
type tensorboardGRPCClient struct {
// Connection pool of gRPC connections to the service.
connPool gtransport.ConnPool
// flag to opt out of default deadlines via GOOGLE_API_GO_EXPERIMENTAL_DISABLE_DEFAULT_DEADLINE
disableDeadlines bool
// Points back to the CallOptions field of the containing TensorboardClient
CallOptions **TensorboardCallOptions
// The gRPC API client.
tensorboardClient aiplatformpb.TensorboardServiceClient
// LROClient is used internally to handle long-running operations.
// It is exposed so that its CallOptions can be modified if required.
// Users should not Close this client.
LROClient **lroauto.OperationsClient
// The x-goog-* metadata to be sent with each request.
xGoogMetadata metadata.MD
}
// NewTensorboardClient creates a new tensorboard service client based on gRPC.
// The returned client must be Closed when it is done being used to clean up its underlying connections.
//
// TensorboardService
func NewTensorboardClient(ctx context.Context, opts ...option.ClientOption) (*TensorboardClient, error) {
clientOpts := defaultTensorboardGRPCClientOptions()
if newTensorboardClientHook != nil {
hookOpts, err := newTensorboardClientHook(ctx, clientHookParams{})
if err != nil {
return nil, err
}
clientOpts = append(clientOpts, hookOpts...)
}
disableDeadlines, err := checkDisableDeadlines()
if err != nil {
return nil, err
}
connPool, err := gtransport.DialPool(ctx, append(clientOpts, opts...)...)
if err != nil {
return nil, err
}
client := TensorboardClient{CallOptions: defaultTensorboardCallOptions()}
c := &tensorboardGRPCClient{
connPool: connPool,
disableDeadlines: disableDeadlines,
tensorboardClient: aiplatformpb.NewTensorboardServiceClient(connPool),
CallOptions: &client.CallOptions,
}
c.setGoogleClientInfo()
client.internalClient = c
client.LROClient, err = lroauto.NewOperationsClient(ctx, gtransport.WithConnPool(connPool))
if err != nil {
// This error "should not happen", since we are just reusing old connection pool
// and never actually need to dial.
// If this does happen, we could leak connp. However, we cannot close conn:
// If the user invoked the constructor with option.WithGRPCConn,
// we would close a connection that's still in use.
// TODO: investigate error conditions.
return nil, err
}
c.LROClient = &client.LROClient
return &client, nil
}
// Connection returns a connection to the API service.
//
// Deprecated.
func (c *tensorboardGRPCClient) Connection() *grpc.ClientConn {
return c.connPool.Conn()
}
// setGoogleClientInfo sets the name and version of the application in
// the `x-goog-api-client` header passed on each request. Intended for
// use by Google-written clients.
func (c *tensorboardGRPCClient) setGoogleClientInfo(keyval ...string) {
kv := append([]string{"gl-go", versionGo()}, keyval...)
kv = append(kv, "gapic", getVersionClient(), "gax", gax.Version, "grpc", grpc.Version)
c.xGoogMetadata = metadata.Pairs("x-goog-api-client", gax.XGoogHeader(kv...))
}
// Close closes the connection to the API service. The user should invoke this when
// the client is no longer required.
func (c *tensorboardGRPCClient) Close() error {
return c.connPool.Close()
}
func (c *tensorboardGRPCClient) CreateTensorboard(ctx context.Context, req *aiplatformpb.CreateTensorboardRequest, opts ...gax.CallOption) (*CreateTensorboardOperation, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).CreateTensorboard[0:len((*c.CallOptions).CreateTensorboard):len((*c.CallOptions).CreateTensorboard)], opts...)
var resp *longrunningpb.Operation
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.CreateTensorboard(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return &CreateTensorboardOperation{
lro: longrunning.InternalNewOperation(*c.LROClient, resp),
}, nil
}
func (c *tensorboardGRPCClient) GetTensorboard(ctx context.Context, req *aiplatformpb.GetTensorboardRequest, opts ...gax.CallOption) (*aiplatformpb.Tensorboard, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).GetTensorboard[0:len((*c.CallOptions).GetTensorboard):len((*c.CallOptions).GetTensorboard)], opts...)
var resp *aiplatformpb.Tensorboard
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.GetTensorboard(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) UpdateTensorboard(ctx context.Context, req *aiplatformpb.UpdateTensorboardRequest, opts ...gax.CallOption) (*UpdateTensorboardOperation, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard.name", url.QueryEscape(req.GetTensorboard().GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).UpdateTensorboard[0:len((*c.CallOptions).UpdateTensorboard):len((*c.CallOptions).UpdateTensorboard)], opts...)
var resp *longrunningpb.Operation
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.UpdateTensorboard(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return &UpdateTensorboardOperation{
lro: longrunning.InternalNewOperation(*c.LROClient, resp),
}, nil
}
func (c *tensorboardGRPCClient) ListTensorboards(ctx context.Context, req *aiplatformpb.ListTensorboardsRequest, opts ...gax.CallOption) *TensorboardIterator {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).ListTensorboards[0:len((*c.CallOptions).ListTensorboards):len((*c.CallOptions).ListTensorboards)], opts...)
it := &TensorboardIterator{}
req = proto.Clone(req).(*aiplatformpb.ListTensorboardsRequest)
it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.Tensorboard, string, error) {
resp := &aiplatformpb.ListTensorboardsResponse{}
if pageToken != "" {
req.PageToken = pageToken
}
if pageSize > math.MaxInt32 {
req.PageSize = math.MaxInt32
} else if pageSize != 0 {
req.PageSize = int32(pageSize)
}
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.ListTensorboards(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, "", err
}
it.Response = resp
return resp.GetTensorboards(), resp.GetNextPageToken(), nil
}
fetch := func(pageSize int, pageToken string) (string, error) {
items, nextPageToken, err := it.InternalFetch(pageSize, pageToken)
if err != nil {
return "", err
}
it.items = append(it.items, items...)
return nextPageToken, nil
}
it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf)
it.pageInfo.MaxSize = int(req.GetPageSize())
it.pageInfo.Token = req.GetPageToken()
return it
}
func (c *tensorboardGRPCClient) DeleteTensorboard(ctx context.Context, req *aiplatformpb.DeleteTensorboardRequest, opts ...gax.CallOption) (*DeleteTensorboardOperation, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).DeleteTensorboard[0:len((*c.CallOptions).DeleteTensorboard):len((*c.CallOptions).DeleteTensorboard)], opts...)
var resp *longrunningpb.Operation
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.DeleteTensorboard(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return &DeleteTensorboardOperation{
lro: longrunning.InternalNewOperation(*c.LROClient, resp),
}, nil
}
func (c *tensorboardGRPCClient) CreateTensorboardExperiment(ctx context.Context, req *aiplatformpb.CreateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).CreateTensorboardExperiment[0:len((*c.CallOptions).CreateTensorboardExperiment):len((*c.CallOptions).CreateTensorboardExperiment)], opts...)
var resp *aiplatformpb.TensorboardExperiment
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.CreateTensorboardExperiment(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) GetTensorboardExperiment(ctx context.Context, req *aiplatformpb.GetTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).GetTensorboardExperiment[0:len((*c.CallOptions).GetTensorboardExperiment):len((*c.CallOptions).GetTensorboardExperiment)], opts...)
var resp *aiplatformpb.TensorboardExperiment
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.GetTensorboardExperiment(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) UpdateTensorboardExperiment(ctx context.Context, req *aiplatformpb.UpdateTensorboardExperimentRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardExperiment, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_experiment.name", url.QueryEscape(req.GetTensorboardExperiment().GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).UpdateTensorboardExperiment[0:len((*c.CallOptions).UpdateTensorboardExperiment):len((*c.CallOptions).UpdateTensorboardExperiment)], opts...)
var resp *aiplatformpb.TensorboardExperiment
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.UpdateTensorboardExperiment(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) ListTensorboardExperiments(ctx context.Context, req *aiplatformpb.ListTensorboardExperimentsRequest, opts ...gax.CallOption) *TensorboardExperimentIterator {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).ListTensorboardExperiments[0:len((*c.CallOptions).ListTensorboardExperiments):len((*c.CallOptions).ListTensorboardExperiments)], opts...)
it := &TensorboardExperimentIterator{}
req = proto.Clone(req).(*aiplatformpb.ListTensorboardExperimentsRequest)
it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TensorboardExperiment, string, error) {
resp := &aiplatformpb.ListTensorboardExperimentsResponse{}
if pageToken != "" {
req.PageToken = pageToken
}
if pageSize > math.MaxInt32 {
req.PageSize = math.MaxInt32
} else if pageSize != 0 {
req.PageSize = int32(pageSize)
}
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.ListTensorboardExperiments(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, "", err
}
it.Response = resp
return resp.GetTensorboardExperiments(), resp.GetNextPageToken(), nil
}
fetch := func(pageSize int, pageToken string) (string, error) {
items, nextPageToken, err := it.InternalFetch(pageSize, pageToken)
if err != nil {
return "", err
}
it.items = append(it.items, items...)
return nextPageToken, nil
}
it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf)
it.pageInfo.MaxSize = int(req.GetPageSize())
it.pageInfo.Token = req.GetPageToken()
return it
}
func (c *tensorboardGRPCClient) DeleteTensorboardExperiment(ctx context.Context, req *aiplatformpb.DeleteTensorboardExperimentRequest, opts ...gax.CallOption) (*DeleteTensorboardExperimentOperation, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).DeleteTensorboardExperiment[0:len((*c.CallOptions).DeleteTensorboardExperiment):len((*c.CallOptions).DeleteTensorboardExperiment)], opts...)
var resp *longrunningpb.Operation
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.DeleteTensorboardExperiment(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return &DeleteTensorboardExperimentOperation{
lro: longrunning.InternalNewOperation(*c.LROClient, resp),
}, nil
}
func (c *tensorboardGRPCClient) CreateTensorboardRun(ctx context.Context, req *aiplatformpb.CreateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).CreateTensorboardRun[0:len((*c.CallOptions).CreateTensorboardRun):len((*c.CallOptions).CreateTensorboardRun)], opts...)
var resp *aiplatformpb.TensorboardRun
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.CreateTensorboardRun(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) BatchCreateTensorboardRuns(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardRunsRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardRunsResponse, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).BatchCreateTensorboardRuns[0:len((*c.CallOptions).BatchCreateTensorboardRuns):len((*c.CallOptions).BatchCreateTensorboardRuns)], opts...)
var resp *aiplatformpb.BatchCreateTensorboardRunsResponse
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.BatchCreateTensorboardRuns(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) GetTensorboardRun(ctx context.Context, req *aiplatformpb.GetTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).GetTensorboardRun[0:len((*c.CallOptions).GetTensorboardRun):len((*c.CallOptions).GetTensorboardRun)], opts...)
var resp *aiplatformpb.TensorboardRun
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.GetTensorboardRun(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) UpdateTensorboardRun(ctx context.Context, req *aiplatformpb.UpdateTensorboardRunRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardRun, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_run.name", url.QueryEscape(req.GetTensorboardRun().GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).UpdateTensorboardRun[0:len((*c.CallOptions).UpdateTensorboardRun):len((*c.CallOptions).UpdateTensorboardRun)], opts...)
var resp *aiplatformpb.TensorboardRun
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.UpdateTensorboardRun(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) ListTensorboardRuns(ctx context.Context, req *aiplatformpb.ListTensorboardRunsRequest, opts ...gax.CallOption) *TensorboardRunIterator {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).ListTensorboardRuns[0:len((*c.CallOptions).ListTensorboardRuns):len((*c.CallOptions).ListTensorboardRuns)], opts...)
it := &TensorboardRunIterator{}
req = proto.Clone(req).(*aiplatformpb.ListTensorboardRunsRequest)
it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TensorboardRun, string, error) {
resp := &aiplatformpb.ListTensorboardRunsResponse{}
if pageToken != "" {
req.PageToken = pageToken
}
if pageSize > math.MaxInt32 {
req.PageSize = math.MaxInt32
} else if pageSize != 0 {
req.PageSize = int32(pageSize)
}
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.ListTensorboardRuns(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, "", err
}
it.Response = resp
return resp.GetTensorboardRuns(), resp.GetNextPageToken(), nil
}
fetch := func(pageSize int, pageToken string) (string, error) {
items, nextPageToken, err := it.InternalFetch(pageSize, pageToken)
if err != nil {
return "", err
}
it.items = append(it.items, items...)
return nextPageToken, nil
}
it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf)
it.pageInfo.MaxSize = int(req.GetPageSize())
it.pageInfo.Token = req.GetPageToken()
return it
}
func (c *tensorboardGRPCClient) DeleteTensorboardRun(ctx context.Context, req *aiplatformpb.DeleteTensorboardRunRequest, opts ...gax.CallOption) (*DeleteTensorboardRunOperation, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).DeleteTensorboardRun[0:len((*c.CallOptions).DeleteTensorboardRun):len((*c.CallOptions).DeleteTensorboardRun)], opts...)
var resp *longrunningpb.Operation
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.DeleteTensorboardRun(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return &DeleteTensorboardRunOperation{
lro: longrunning.InternalNewOperation(*c.LROClient, resp),
}, nil
}
func (c *tensorboardGRPCClient) BatchCreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.BatchCreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.BatchCreateTensorboardTimeSeriesResponse, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).BatchCreateTensorboardTimeSeries[0:len((*c.CallOptions).BatchCreateTensorboardTimeSeries):len((*c.CallOptions).BatchCreateTensorboardTimeSeries)], opts...)
var resp *aiplatformpb.BatchCreateTensorboardTimeSeriesResponse
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.BatchCreateTensorboardTimeSeries(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) CreateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.CreateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).CreateTensorboardTimeSeries[0:len((*c.CallOptions).CreateTensorboardTimeSeries):len((*c.CallOptions).CreateTensorboardTimeSeries)], opts...)
var resp *aiplatformpb.TensorboardTimeSeries
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.CreateTensorboardTimeSeries(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) GetTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.GetTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).GetTensorboardTimeSeries[0:len((*c.CallOptions).GetTensorboardTimeSeries):len((*c.CallOptions).GetTensorboardTimeSeries)], opts...)
var resp *aiplatformpb.TensorboardTimeSeries
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.GetTensorboardTimeSeries(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) UpdateTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.UpdateTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*aiplatformpb.TensorboardTimeSeries, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard_time_series.name", url.QueryEscape(req.GetTensorboardTimeSeries().GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).UpdateTensorboardTimeSeries[0:len((*c.CallOptions).UpdateTensorboardTimeSeries):len((*c.CallOptions).UpdateTensorboardTimeSeries)], opts...)
var resp *aiplatformpb.TensorboardTimeSeries
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.UpdateTensorboardTimeSeries(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}
func (c *tensorboardGRPCClient) ListTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.ListTensorboardTimeSeriesRequest, opts ...gax.CallOption) *TensorboardTimeSeriesIterator {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "parent", url.QueryEscape(req.GetParent())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).ListTensorboardTimeSeries[0:len((*c.CallOptions).ListTensorboardTimeSeries):len((*c.CallOptions).ListTensorboardTimeSeries)], opts...)
it := &TensorboardTimeSeriesIterator{}
req = proto.Clone(req).(*aiplatformpb.ListTensorboardTimeSeriesRequest)
it.InternalFetch = func(pageSize int, pageToken string) ([]*aiplatformpb.TensorboardTimeSeries, string, error) {
resp := &aiplatformpb.ListTensorboardTimeSeriesResponse{}
if pageToken != "" {
req.PageToken = pageToken
}
if pageSize > math.MaxInt32 {
req.PageSize = math.MaxInt32
} else if pageSize != 0 {
req.PageSize = int32(pageSize)
}
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.ListTensorboardTimeSeries(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, "", err
}
it.Response = resp
return resp.GetTensorboardTimeSeries(), resp.GetNextPageToken(), nil
}
fetch := func(pageSize int, pageToken string) (string, error) {
items, nextPageToken, err := it.InternalFetch(pageSize, pageToken)
if err != nil {
return "", err
}
it.items = append(it.items, items...)
return nextPageToken, nil
}
it.pageInfo, it.nextFunc = iterator.NewPageInfo(fetch, it.bufLen, it.takeBuf)
it.pageInfo.MaxSize = int(req.GetPageSize())
it.pageInfo.Token = req.GetPageToken()
return it
}
func (c *tensorboardGRPCClient) DeleteTensorboardTimeSeries(ctx context.Context, req *aiplatformpb.DeleteTensorboardTimeSeriesRequest, opts ...gax.CallOption) (*DeleteTensorboardTimeSeriesOperation, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "name", url.QueryEscape(req.GetName())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).DeleteTensorboardTimeSeries[0:len((*c.CallOptions).DeleteTensorboardTimeSeries):len((*c.CallOptions).DeleteTensorboardTimeSeries)], opts...)
var resp *longrunningpb.Operation
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.DeleteTensorboardTimeSeries(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return &DeleteTensorboardTimeSeriesOperation{
lro: longrunning.InternalNewOperation(*c.LROClient, resp),
}, nil
}
func (c *tensorboardGRPCClient) BatchReadTensorboardTimeSeriesData(ctx context.Context, req *aiplatformpb.BatchReadTensorboardTimeSeriesDataRequest, opts ...gax.CallOption) (*aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse, error) {
md := metadata.Pairs("x-goog-request-params", fmt.Sprintf("%s=%v", "tensorboard", url.QueryEscape(req.GetTensorboard())))
ctx = insertMetadata(ctx, c.xGoogMetadata, md)
opts = append((*c.CallOptions).BatchReadTensorboardTimeSeriesData[0:len((*c.CallOptions).BatchReadTensorboardTimeSeriesData):len((*c.CallOptions).BatchReadTensorboardTimeSeriesData)], opts...)
var resp *aiplatformpb.BatchReadTensorboardTimeSeriesDataResponse
err := gax.Invoke(ctx, func(ctx context.Context, settings gax.CallSettings) error {
var err error
resp, err = c.tensorboardClient.BatchReadTensorboardTimeSeriesData(ctx, req, settings.GRPC...)
return err
}, opts...)
if err != nil {
return nil, err
}
return resp, nil
}