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monitoring-gen.go
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monitoring-gen.go
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// Copyright 2023 Google LLC.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Code generated file. DO NOT EDIT.
// Package monitoring provides access to the Cloud Monitoring API.
//
// For product documentation, see: https://cloud.google.com/monitoring/api/
//
// # Library status
//
// These client libraries are officially supported by Google. However, this
// library is considered complete and is in maintenance mode. This means
// that we will address critical bugs and security issues but will not add
// any new features.
//
// When possible, we recommend using our newer
// [Cloud Client Libraries for Go](https://pkg.go.dev/cloud.google.com/go)
// that are still actively being worked and iterated on.
//
// # Creating a client
//
// Usage example:
//
// import "google.golang.org/api/monitoring/v1"
// ...
// ctx := context.Background()
// monitoringService, err := monitoring.NewService(ctx)
//
// In this example, Google Application Default Credentials are used for
// authentication. For information on how to create and obtain Application
// Default Credentials, see https://developers.google.com/identity/protocols/application-default-credentials.
//
// # Other authentication options
//
// By default, all available scopes (see "Constants") are used to authenticate.
// To restrict scopes, use [google.golang.org/api/option.WithScopes]:
//
// monitoringService, err := monitoring.NewService(ctx, option.WithScopes(monitoring.MonitoringWriteScope))
//
// To use an API key for authentication (note: some APIs do not support API
// keys), use [google.golang.org/api/option.WithAPIKey]:
//
// monitoringService, err := monitoring.NewService(ctx, option.WithAPIKey("AIza..."))
//
// To use an OAuth token (e.g., a user token obtained via a three-legged OAuth
// flow, use [google.golang.org/api/option.WithTokenSource]:
//
// config := &oauth2.Config{...}
// // ...
// token, err := config.Exchange(ctx, ...)
// monitoringService, err := monitoring.NewService(ctx, option.WithTokenSource(config.TokenSource(ctx, token)))
//
// See [google.golang.org/api/option.ClientOption] for details on options.
package monitoring // import "google.golang.org/api/monitoring/v1"
import (
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"net/url"
"strconv"
"strings"
googleapi "google.golang.org/api/googleapi"
internal "google.golang.org/api/internal"
gensupport "google.golang.org/api/internal/gensupport"
option "google.golang.org/api/option"
internaloption "google.golang.org/api/option/internaloption"
htransport "google.golang.org/api/transport/http"
)
// Always reference these packages, just in case the auto-generated code
// below doesn't.
var _ = bytes.NewBuffer
var _ = strconv.Itoa
var _ = fmt.Sprintf
var _ = json.NewDecoder
var _ = io.Copy
var _ = url.Parse
var _ = gensupport.MarshalJSON
var _ = googleapi.Version
var _ = errors.New
var _ = strings.Replace
var _ = context.Canceled
var _ = internaloption.WithDefaultEndpoint
var _ = internal.Version
const apiId = "monitoring:v1"
const apiName = "monitoring"
const apiVersion = "v1"
const basePath = "https://monitoring.googleapis.com/"
const mtlsBasePath = "https://monitoring.mtls.googleapis.com/"
// OAuth2 scopes used by this API.
const (
// See, edit, configure, and delete your Google Cloud data and see the
// email address for your Google Account.
CloudPlatformScope = "https://www.googleapis.com/auth/cloud-platform"
// View and write monitoring data for all of your Google and third-party
// Cloud and API projects
MonitoringScope = "https://www.googleapis.com/auth/monitoring"
// View monitoring data for all of your Google Cloud and third-party
// projects
MonitoringReadScope = "https://www.googleapis.com/auth/monitoring.read"
// Publish metric data to your Google Cloud projects
MonitoringWriteScope = "https://www.googleapis.com/auth/monitoring.write"
)
// NewService creates a new Service.
func NewService(ctx context.Context, opts ...option.ClientOption) (*Service, error) {
scopesOption := internaloption.WithDefaultScopes(
"https://www.googleapis.com/auth/cloud-platform",
"https://www.googleapis.com/auth/monitoring",
"https://www.googleapis.com/auth/monitoring.read",
"https://www.googleapis.com/auth/monitoring.write",
)
// NOTE: prepend, so we don't override user-specified scopes.
opts = append([]option.ClientOption{scopesOption}, opts...)
opts = append(opts, internaloption.WithDefaultEndpoint(basePath))
opts = append(opts, internaloption.WithDefaultMTLSEndpoint(mtlsBasePath))
client, endpoint, err := htransport.NewClient(ctx, opts...)
if err != nil {
return nil, err
}
s, err := New(client)
if err != nil {
return nil, err
}
if endpoint != "" {
s.BasePath = endpoint
}
return s, nil
}
// New creates a new Service. It uses the provided http.Client for requests.
//
// Deprecated: please use NewService instead.
// To provide a custom HTTP client, use option.WithHTTPClient.
// If you are using google.golang.org/api/googleapis/transport.APIKey, use option.WithAPIKey with NewService instead.
func New(client *http.Client) (*Service, error) {
if client == nil {
return nil, errors.New("client is nil")
}
s := &Service{client: client, BasePath: basePath}
s.Locations = NewLocationsService(s)
s.Operations = NewOperationsService(s)
s.Projects = NewProjectsService(s)
return s, nil
}
type Service struct {
client *http.Client
BasePath string // API endpoint base URL
UserAgent string // optional additional User-Agent fragment
Locations *LocationsService
Operations *OperationsService
Projects *ProjectsService
}
func (s *Service) userAgent() string {
if s.UserAgent == "" {
return googleapi.UserAgent
}
return googleapi.UserAgent + " " + s.UserAgent
}
func NewLocationsService(s *Service) *LocationsService {
rs := &LocationsService{s: s}
rs.Global = NewLocationsGlobalService(s)
return rs
}
type LocationsService struct {
s *Service
Global *LocationsGlobalService
}
func NewLocationsGlobalService(s *Service) *LocationsGlobalService {
rs := &LocationsGlobalService{s: s}
rs.MetricsScopes = NewLocationsGlobalMetricsScopesService(s)
return rs
}
type LocationsGlobalService struct {
s *Service
MetricsScopes *LocationsGlobalMetricsScopesService
}
func NewLocationsGlobalMetricsScopesService(s *Service) *LocationsGlobalMetricsScopesService {
rs := &LocationsGlobalMetricsScopesService{s: s}
rs.Projects = NewLocationsGlobalMetricsScopesProjectsService(s)
return rs
}
type LocationsGlobalMetricsScopesService struct {
s *Service
Projects *LocationsGlobalMetricsScopesProjectsService
}
func NewLocationsGlobalMetricsScopesProjectsService(s *Service) *LocationsGlobalMetricsScopesProjectsService {
rs := &LocationsGlobalMetricsScopesProjectsService{s: s}
return rs
}
type LocationsGlobalMetricsScopesProjectsService struct {
s *Service
}
func NewOperationsService(s *Service) *OperationsService {
rs := &OperationsService{s: s}
return rs
}
type OperationsService struct {
s *Service
}
func NewProjectsService(s *Service) *ProjectsService {
rs := &ProjectsService{s: s}
rs.Dashboards = NewProjectsDashboardsService(s)
rs.Location = NewProjectsLocationService(s)
return rs
}
type ProjectsService struct {
s *Service
Dashboards *ProjectsDashboardsService
Location *ProjectsLocationService
}
func NewProjectsDashboardsService(s *Service) *ProjectsDashboardsService {
rs := &ProjectsDashboardsService{s: s}
return rs
}
type ProjectsDashboardsService struct {
s *Service
}
func NewProjectsLocationService(s *Service) *ProjectsLocationService {
rs := &ProjectsLocationService{s: s}
rs.Prometheus = NewProjectsLocationPrometheusService(s)
return rs
}
type ProjectsLocationService struct {
s *Service
Prometheus *ProjectsLocationPrometheusService
}
func NewProjectsLocationPrometheusService(s *Service) *ProjectsLocationPrometheusService {
rs := &ProjectsLocationPrometheusService{s: s}
rs.Api = NewProjectsLocationPrometheusApiService(s)
return rs
}
type ProjectsLocationPrometheusService struct {
s *Service
Api *ProjectsLocationPrometheusApiService
}
func NewProjectsLocationPrometheusApiService(s *Service) *ProjectsLocationPrometheusApiService {
rs := &ProjectsLocationPrometheusApiService{s: s}
rs.V1 = NewProjectsLocationPrometheusApiV1Service(s)
return rs
}
type ProjectsLocationPrometheusApiService struct {
s *Service
V1 *ProjectsLocationPrometheusApiV1Service
}
func NewProjectsLocationPrometheusApiV1Service(s *Service) *ProjectsLocationPrometheusApiV1Service {
rs := &ProjectsLocationPrometheusApiV1Service{s: s}
rs.Label = NewProjectsLocationPrometheusApiV1LabelService(s)
rs.Metadata = NewProjectsLocationPrometheusApiV1MetadataService(s)
return rs
}
type ProjectsLocationPrometheusApiV1Service struct {
s *Service
Label *ProjectsLocationPrometheusApiV1LabelService
Metadata *ProjectsLocationPrometheusApiV1MetadataService
}
func NewProjectsLocationPrometheusApiV1LabelService(s *Service) *ProjectsLocationPrometheusApiV1LabelService {
rs := &ProjectsLocationPrometheusApiV1LabelService{s: s}
return rs
}
type ProjectsLocationPrometheusApiV1LabelService struct {
s *Service
}
func NewProjectsLocationPrometheusApiV1MetadataService(s *Service) *ProjectsLocationPrometheusApiV1MetadataService {
rs := &ProjectsLocationPrometheusApiV1MetadataService{s: s}
return rs
}
type ProjectsLocationPrometheusApiV1MetadataService struct {
s *Service
}
// Aggregation: Describes how to combine multiple time series to provide
// a different view of the data. Aggregation of time series is done in
// two steps. First, each time series in the set is aligned to the same
// time interval boundaries, then the set of time series is optionally
// reduced in number.Alignment consists of applying the
// per_series_aligner operation to each time series after its data has
// been divided into regular alignment_period time intervals. This
// process takes all of the data points in an alignment period, applies
// a mathematical transformation such as averaging, minimum, maximum,
// delta, etc., and converts them into a single data point per
// period.Reduction is when the aligned and transformed time series can
// optionally be combined, reducing the number of time series through
// similar mathematical transformations. Reduction involves applying a
// cross_series_reducer to all the time series, optionally sorting the
// time series into subsets with group_by_fields, and applying the
// reducer to each subset.The raw time series data can contain a huge
// amount of information from multiple sources. Alignment and reduction
// transforms this mass of data into a more manageable and
// representative collection of data, for example "the 95% latency
// across the average of all tasks in a cluster". This representative
// data can be more easily graphed and comprehended, and the individual
// time series data is still available for later drilldown. For more
// details, see Filtering and aggregation
// (https://cloud.google.com/monitoring/api/v3/aggregation).
type Aggregation struct {
// AlignmentPeriod: The alignment_period specifies a time interval, in
// seconds, that is used to divide the data in all the time series into
// consistent blocks of time. This will be done before the per-series
// aligner can be applied to the data.The value must be at least 60
// seconds. If a per-series aligner other than ALIGN_NONE is specified,
// this field is required or an error is returned. If no per-series
// aligner is specified, or the aligner ALIGN_NONE is specified, then
// this field is ignored.The maximum value of the alignment_period is 2
// years, or 104 weeks.
AlignmentPeriod string `json:"alignmentPeriod,omitempty"`
// CrossSeriesReducer: The reduction operation to be used to combine
// time series into a single time series, where the value of each data
// point in the resulting series is a function of all the already
// aligned values in the input time series.Not all reducer operations
// can be applied to all time series. The valid choices depend on the
// metric_kind and the value_type of the original time series. Reduction
// can yield a time series with a different metric_kind or value_type
// than the input time series.Time series data must first be aligned
// (see per_series_aligner) in order to perform cross-time series
// reduction. If cross_series_reducer is specified, then
// per_series_aligner must be specified, and must not be ALIGN_NONE. An
// alignment_period must also be specified; otherwise, an error is
// returned.
//
// Possible values:
// "REDUCE_NONE" - No cross-time series reduction. The output of the
// Aligner is returned.
// "REDUCE_MEAN" - Reduce by computing the mean value across time
// series for each alignment period. This reducer is valid for DELTA and
// GAUGE metrics with numeric or distribution values. The value_type of
// the output is DOUBLE.
// "REDUCE_MIN" - Reduce by computing the minimum value across time
// series for each alignment period. This reducer is valid for DELTA and
// GAUGE metrics with numeric values. The value_type of the output is
// the same as the value_type of the input.
// "REDUCE_MAX" - Reduce by computing the maximum value across time
// series for each alignment period. This reducer is valid for DELTA and
// GAUGE metrics with numeric values. The value_type of the output is
// the same as the value_type of the input.
// "REDUCE_SUM" - Reduce by computing the sum across time series for
// each alignment period. This reducer is valid for DELTA and GAUGE
// metrics with numeric and distribution values. The value_type of the
// output is the same as the value_type of the input.
// "REDUCE_STDDEV" - Reduce by computing the standard deviation across
// time series for each alignment period. This reducer is valid for
// DELTA and GAUGE metrics with numeric or distribution values. The
// value_type of the output is DOUBLE.
// "REDUCE_COUNT" - Reduce by computing the number of data points
// across time series for each alignment period. This reducer is valid
// for DELTA and GAUGE metrics of numeric, Boolean, distribution, and
// string value_type. The value_type of the output is INT64.
// "REDUCE_COUNT_TRUE" - Reduce by computing the number of True-valued
// data points across time series for each alignment period. This
// reducer is valid for DELTA and GAUGE metrics of Boolean value_type.
// The value_type of the output is INT64.
// "REDUCE_COUNT_FALSE" - Reduce by computing the number of
// False-valued data points across time series for each alignment
// period. This reducer is valid for DELTA and GAUGE metrics of Boolean
// value_type. The value_type of the output is INT64.
// "REDUCE_FRACTION_TRUE" - Reduce by computing the ratio of the
// number of True-valued data points to the total number of data points
// for each alignment period. This reducer is valid for DELTA and GAUGE
// metrics of Boolean value_type. The output value is in the range 0.0,
// 1.0 and has value_type DOUBLE.
// "REDUCE_PERCENTILE_99" - Reduce by computing the 99th percentile
// (https://en.wikipedia.org/wiki/Percentile) of data points across time
// series for each alignment period. This reducer is valid for GAUGE and
// DELTA metrics of numeric and distribution type. The value of the
// output is DOUBLE.
// "REDUCE_PERCENTILE_95" - Reduce by computing the 95th percentile
// (https://en.wikipedia.org/wiki/Percentile) of data points across time
// series for each alignment period. This reducer is valid for GAUGE and
// DELTA metrics of numeric and distribution type. The value of the
// output is DOUBLE.
// "REDUCE_PERCENTILE_50" - Reduce by computing the 50th percentile
// (https://en.wikipedia.org/wiki/Percentile) of data points across time
// series for each alignment period. This reducer is valid for GAUGE and
// DELTA metrics of numeric and distribution type. The value of the
// output is DOUBLE.
// "REDUCE_PERCENTILE_05" - Reduce by computing the 5th percentile
// (https://en.wikipedia.org/wiki/Percentile) of data points across time
// series for each alignment period. This reducer is valid for GAUGE and
// DELTA metrics of numeric and distribution type. The value of the
// output is DOUBLE.
CrossSeriesReducer string `json:"crossSeriesReducer,omitempty"`
// GroupByFields: The set of fields to preserve when
// cross_series_reducer is specified. The group_by_fields determine how
// the time series are partitioned into subsets prior to applying the
// aggregation operation. Each subset contains time series that have the
// same value for each of the grouping fields. Each individual time
// series is a member of exactly one subset. The cross_series_reducer is
// applied to each subset of time series. It is not possible to reduce
// across different resource types, so this field implicitly contains
// resource.type. Fields not specified in group_by_fields are aggregated
// away. If group_by_fields is not specified and all the time series
// have the same resource type, then the time series are aggregated into
// a single output time series. If cross_series_reducer is not defined,
// this field is ignored.
GroupByFields []string `json:"groupByFields,omitempty"`
// PerSeriesAligner: An Aligner describes how to bring the data points
// in a single time series into temporal alignment. Except for
// ALIGN_NONE, all alignments cause all the data points in an
// alignment_period to be mathematically grouped together, resulting in
// a single data point for each alignment_period with end timestamp at
// the end of the period.Not all alignment operations may be applied to
// all time series. The valid choices depend on the metric_kind and
// value_type of the original time series. Alignment can change the
// metric_kind or the value_type of the time series.Time series data
// must be aligned in order to perform cross-time series reduction. If
// cross_series_reducer is specified, then per_series_aligner must be
// specified and not equal to ALIGN_NONE and alignment_period must be
// specified; otherwise, an error is returned.
//
// Possible values:
// "ALIGN_NONE" - No alignment. Raw data is returned. Not valid if
// cross-series reduction is requested. The value_type of the result is
// the same as the value_type of the input.
// "ALIGN_DELTA" - Align and convert to DELTA. The output is delta =
// y1 - y0.This alignment is valid for CUMULATIVE and DELTA metrics. If
// the selected alignment period results in periods with no data, then
// the aligned value for such a period is created by interpolation. The
// value_type of the aligned result is the same as the value_type of the
// input.
// "ALIGN_RATE" - Align and convert to a rate. The result is computed
// as rate = (y1 - y0)/(t1 - t0), or "delta over time". Think of this
// aligner as providing the slope of the line that passes through the
// value at the start and at the end of the alignment_period.This
// aligner is valid for CUMULATIVE and DELTA metrics with numeric
// values. If the selected alignment period results in periods with no
// data, then the aligned value for such a period is created by
// interpolation. The output is a GAUGE metric with value_type
// DOUBLE.If, by "rate", you mean "percentage change", see the
// ALIGN_PERCENT_CHANGE aligner instead.
// "ALIGN_INTERPOLATE" - Align by interpolating between adjacent
// points around the alignment period boundary. This aligner is valid
// for GAUGE metrics with numeric values. The value_type of the aligned
// result is the same as the value_type of the input.
// "ALIGN_NEXT_OLDER" - Align by moving the most recent data point
// before the end of the alignment period to the boundary at the end of
// the alignment period. This aligner is valid for GAUGE metrics. The
// value_type of the aligned result is the same as the value_type of the
// input.
// "ALIGN_MIN" - Align the time series by returning the minimum value
// in each alignment period. This aligner is valid for GAUGE and DELTA
// metrics with numeric values. The value_type of the aligned result is
// the same as the value_type of the input.
// "ALIGN_MAX" - Align the time series by returning the maximum value
// in each alignment period. This aligner is valid for GAUGE and DELTA
// metrics with numeric values. The value_type of the aligned result is
// the same as the value_type of the input.
// "ALIGN_MEAN" - Align the time series by returning the mean value in
// each alignment period. This aligner is valid for GAUGE and DELTA
// metrics with numeric values. The value_type of the aligned result is
// DOUBLE.
// "ALIGN_COUNT" - Align the time series by returning the number of
// values in each alignment period. This aligner is valid for GAUGE and
// DELTA metrics with numeric or Boolean values. The value_type of the
// aligned result is INT64.
// "ALIGN_SUM" - Align the time series by returning the sum of the
// values in each alignment period. This aligner is valid for GAUGE and
// DELTA metrics with numeric and distribution values. The value_type of
// the aligned result is the same as the value_type of the input.
// "ALIGN_STDDEV" - Align the time series by returning the standard
// deviation of the values in each alignment period. This aligner is
// valid for GAUGE and DELTA metrics with numeric values. The value_type
// of the output is DOUBLE.
// "ALIGN_COUNT_TRUE" - Align the time series by returning the number
// of True values in each alignment period. This aligner is valid for
// GAUGE metrics with Boolean values. The value_type of the output is
// INT64.
// "ALIGN_COUNT_FALSE" - Align the time series by returning the number
// of False values in each alignment period. This aligner is valid for
// GAUGE metrics with Boolean values. The value_type of the output is
// INT64.
// "ALIGN_FRACTION_TRUE" - Align the time series by returning the
// ratio of the number of True values to the total number of values in
// each alignment period. This aligner is valid for GAUGE metrics with
// Boolean values. The output value is in the range 0.0, 1.0 and has
// value_type DOUBLE.
// "ALIGN_PERCENTILE_99" - Align the time series by using percentile
// aggregation (https://en.wikipedia.org/wiki/Percentile). The resulting
// data point in each alignment period is the 99th percentile of all
// data points in the period. This aligner is valid for GAUGE and DELTA
// metrics with distribution values. The output is a GAUGE metric with
// value_type DOUBLE.
// "ALIGN_PERCENTILE_95" - Align the time series by using percentile
// aggregation (https://en.wikipedia.org/wiki/Percentile). The resulting
// data point in each alignment period is the 95th percentile of all
// data points in the period. This aligner is valid for GAUGE and DELTA
// metrics with distribution values. The output is a GAUGE metric with
// value_type DOUBLE.
// "ALIGN_PERCENTILE_50" - Align the time series by using percentile
// aggregation (https://en.wikipedia.org/wiki/Percentile). The resulting
// data point in each alignment period is the 50th percentile of all
// data points in the period. This aligner is valid for GAUGE and DELTA
// metrics with distribution values. The output is a GAUGE metric with
// value_type DOUBLE.
// "ALIGN_PERCENTILE_05" - Align the time series by using percentile
// aggregation (https://en.wikipedia.org/wiki/Percentile). The resulting
// data point in each alignment period is the 5th percentile of all data
// points in the period. This aligner is valid for GAUGE and DELTA
// metrics with distribution values. The output is a GAUGE metric with
// value_type DOUBLE.
// "ALIGN_PERCENT_CHANGE" - Align and convert to a percentage change.
// This aligner is valid for GAUGE and DELTA metrics with numeric
// values. This alignment returns ((current - previous)/previous) * 100,
// where the value of previous is determined based on the
// alignment_period.If the values of current and previous are both 0,
// then the returned value is 0. If only previous is 0, the returned
// value is infinity.A 10-minute moving mean is computed at each point
// of the alignment period prior to the above calculation to smooth the
// metric and prevent false positives from very short-lived spikes. The
// moving mean is only applicable for data whose values are >= 0. Any
// values < 0 are treated as a missing datapoint, and are ignored. While
// DELTA metrics are accepted by this alignment, special care should be
// taken that the values for the metric will always be positive. The
// output is a GAUGE metric with value_type DOUBLE.
PerSeriesAligner string `json:"perSeriesAligner,omitempty"`
// ForceSendFields is a list of field names (e.g. "AlignmentPeriod") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "AlignmentPeriod") to
// include in API requests with the JSON null value. By default, fields
// with empty values are omitted from API requests. However, any field
// with an empty value appearing in NullFields will be sent to the
// server as null. It is an error if a field in this list has a
// non-empty value. This may be used to include null fields in Patch
// requests.
NullFields []string `json:"-"`
}
func (s *Aggregation) MarshalJSON() ([]byte, error) {
type NoMethod Aggregation
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AggregationFunction: Preview: An identifier for an aggregation
// function. Aggregation functions are SQL functions that group or
// transform data from multiple points to a single point. This is a
// preview feature and may be subject to change before final release.
type AggregationFunction struct {
// Parameters: Optional. Parameters applied to the aggregation function.
// Only used for functions that require them.
Parameters []*Parameter `json:"parameters,omitempty"`
// Type: Required. The type of aggregation function, must be one of the
// following: "none" - no function. "percentile" - APPROX_QUANTILES() -
// 1 parameter numeric value "average" - AVG() "count" - COUNT()
// "count-distinct" - COUNT(DISTINCT) "count-distinct-approx" -
// APPROX_COUNT_DISTINCT() "max" - MAX() "min" - MIN() "sum" - SUM()
Type string `json:"type,omitempty"`
// ForceSendFields is a list of field names (e.g. "Parameters") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Parameters") to include in
// API requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AggregationFunction) MarshalJSON() ([]byte, error) {
type NoMethod AggregationFunction
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AlertChart: A chart that displays alert policy data.
type AlertChart struct {
// Name: Required. The resource name of the alert policy. The format is:
// projects/[PROJECT_ID_OR_NUMBER]/alertPolicies/[ALERT_POLICY_ID]
Name string `json:"name,omitempty"`
// ForceSendFields is a list of field names (e.g. "Name") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Name") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AlertChart) MarshalJSON() ([]byte, error) {
type NoMethod AlertChart
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// Axis: A chart axis.
type Axis struct {
// Label: The label of the axis.
Label string `json:"label,omitempty"`
// Scale: The axis scale. By default, a linear scale is used.
//
// Possible values:
// "SCALE_UNSPECIFIED" - Scale is unspecified. The view will default
// to LINEAR.
// "LINEAR" - Linear scale.
// "LOG10" - Logarithmic scale (base 10).
Scale string `json:"scale,omitempty"`
// ForceSendFields is a list of field names (e.g. "Label") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Label") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Axis) MarshalJSON() ([]byte, error) {
type NoMethod Axis
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// Breakdown: Preview: A breakdown is an aggregation applied to the
// measures over a specified column. A breakdown can result in multiple
// series across a category for the provided measure. This is a preview
// feature and may be subject to change before final release.
type Breakdown struct {
// AggregationFunction: Required. The Aggregation function is applied
// across all data in each breakdown created.
AggregationFunction *AggregationFunction `json:"aggregationFunction,omitempty"`
// Column: Required. The name of the column in the dataset containing
// the breakdown values.
Column string `json:"column,omitempty"`
// Limit: Required. A limit to the number of breakdowns. If set to zero
// then all possible breakdowns are applied. The list of breakdowns is
// dependent on the value of the sort_order field.
Limit int64 `json:"limit,omitempty"`
// SortOrder: Required. The sort order is applied to the values of the
// breakdown column.
//
// Possible values:
// "SORT_ORDER_UNSPECIFIED" - An unspecified sort order. This option
// is invalid when sorting is required.
// "SORT_ORDER_NONE" - No sorting is applied.
// "SORT_ORDER_ASCENDING" - The lowest-valued entries are selected
// first.
// "SORT_ORDER_DESCENDING" - The highest-valued entries are selected
// first.
SortOrder string `json:"sortOrder,omitempty"`
// ForceSendFields is a list of field names (e.g. "AggregationFunction")
// to unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "AggregationFunction") to
// include in API requests with the JSON null value. By default, fields
// with empty values are omitted from API requests. However, any field
// with an empty value appearing in NullFields will be sent to the
// server as null. It is an error if a field in this list has a
// non-empty value. This may be used to include null fields in Patch
// requests.
NullFields []string `json:"-"`
}
func (s *Breakdown) MarshalJSON() ([]byte, error) {
type NoMethod Breakdown
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// ChartOptions: Options to control visual rendering of a chart.
type ChartOptions struct {
// DisplayHorizontal: Preview: Configures whether the charted values are
// shown on the horizontal or vertical axis. By default, values are
// represented the vertical axis. This is a preview feature and may be
// subject to change before final release.
DisplayHorizontal bool `json:"displayHorizontal,omitempty"`
// Mode: The chart mode.
//
// Possible values:
// "MODE_UNSPECIFIED" - Mode is unspecified. The view will default to
// COLOR.
// "COLOR" - The chart distinguishes data series using different
// color. Line colors may get reused when there are many lines in the
// chart.
// "X_RAY" - The chart uses the Stackdriver x-ray mode, in which each
// data set is plotted using the same semi-transparent color.
// "STATS" - The chart displays statistics such as average, median,
// 95th percentile, and more.
Mode string `json:"mode,omitempty"`
// ForceSendFields is a list of field names (e.g. "DisplayHorizontal")
// to unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "DisplayHorizontal") to
// include in API requests with the JSON null value. By default, fields
// with empty values are omitted from API requests. However, any field
// with an empty value appearing in NullFields will be sent to the
// server as null. It is an error if a field in this list has a
// non-empty value. This may be used to include null fields in Patch
// requests.
NullFields []string `json:"-"`
}
func (s *ChartOptions) MarshalJSON() ([]byte, error) {
type NoMethod ChartOptions
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// CollapsibleGroup: A widget that groups the other widgets. All widgets
// that are within the area spanned by the grouping widget are
// considered member widgets.
type CollapsibleGroup struct {
// Collapsed: The collapsed state of the widget on first page load.
Collapsed bool `json:"collapsed,omitempty"`
// ForceSendFields is a list of field names (e.g. "Collapsed") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Collapsed") to include in
// API requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *CollapsibleGroup) MarshalJSON() ([]byte, error) {
type NoMethod CollapsibleGroup
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// Column: Defines the layout properties and content for a column.
type Column struct {
// Weight: The relative weight of this column. The column weight is used
// to adjust the width of columns on the screen (relative to peers).
// Greater the weight, greater the width of the column on the screen. If
// omitted, a value of 1 is used while rendering.
Weight int64 `json:"weight,omitempty,string"`
// Widgets: The display widgets arranged vertically in this column.
Widgets []*Widget `json:"widgets,omitempty"`
// ForceSendFields is a list of field names (e.g. "Weight") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Weight") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Column) MarshalJSON() ([]byte, error) {
type NoMethod Column
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// ColumnLayout: A simplified layout that divides the available space
// into vertical columns and arranges a set of widgets vertically in
// each column.
type ColumnLayout struct {
// Columns: The columns of content to display.
Columns []*Column `json:"columns,omitempty"`
// ForceSendFields is a list of field names (e.g. "Columns") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Columns") to include in
// API requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *ColumnLayout) MarshalJSON() ([]byte, error) {
type NoMethod ColumnLayout
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// ColumnSettings: The persistent settings for a table's columns.
type ColumnSettings struct {
// Column: Required. The id of the column.
Column string `json:"column,omitempty"`
// Visible: Required. Whether the column should be visible on page load.
Visible bool `json:"visible,omitempty"`
// ForceSendFields is a list of field names (e.g. "Column") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "Column") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *ColumnSettings) MarshalJSON() ([]byte, error) {
type NoMethod ColumnSettings
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// Dashboard: A Google Stackdriver dashboard. Dashboards define the
// content and layout of pages in the Stackdriver web application.
type Dashboard struct {
// ColumnLayout: The content is divided into equally spaced columns and
// the widgets are arranged vertically.
ColumnLayout *ColumnLayout `json:"columnLayout,omitempty"`
// DashboardFilters: Filters to reduce the amount of data charted based
// on the filter criteria.
DashboardFilters []*DashboardFilter `json:"dashboardFilters,omitempty"`
// DisplayName: Required. The mutable, human-readable name.
DisplayName string `json:"displayName,omitempty"`
// Etag: etag is used for optimistic concurrency control as a way to
// help prevent simultaneous updates of a policy from overwriting each
// other. An etag is returned in the response to GetDashboard, and users
// are expected to put that etag in the request to UpdateDashboard to
// ensure that their change will be applied to the same version of the
// Dashboard configuration. The field should not be passed during
// dashboard creation.
Etag string `json:"etag,omitempty"`
// GridLayout: Content is arranged with a basic layout that re-flows a
// simple list of informational elements like widgets or tiles.
GridLayout *GridLayout `json:"gridLayout,omitempty"`
// Labels: Labels applied to the dashboard
Labels map[string]string `json:"labels,omitempty"`
// MosaicLayout: The content is arranged as a grid of tiles, with each
// content widget occupying one or more grid blocks.
MosaicLayout *MosaicLayout `json:"mosaicLayout,omitempty"`
// Name: Identifier. The resource name of the dashboard.
Name string `json:"name,omitempty"`
// RowLayout: The content is divided into equally spaced rows and the
// widgets are arranged horizontally.
RowLayout *RowLayout `json:"rowLayout,omitempty"`
// ServerResponse contains the HTTP response code and headers from the
// server.
googleapi.ServerResponse `json:"-"`
// ForceSendFields is a list of field names (e.g. "ColumnLayout") to
// unconditionally include in API requests. By default, fields with
// empty or default values are omitted from API requests. However, any
// non-pointer, non-interface field appearing in ForceSendFields will be
// sent to the server regardless of whether the field is empty or not.
// This may be used to include empty fields in Patch requests.
ForceSendFields []string `json:"-"`
// NullFields is a list of field names (e.g. "ColumnLayout") to include
// in API requests with the JSON null value. By default, fields with
// empty values are omitted from API requests. However, any field with
// an empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Dashboard) MarshalJSON() ([]byte, error) {
type NoMethod Dashboard
raw := NoMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// DashboardFilter: A filter to reduce the amount of data charted in
// relevant widgets.
type DashboardFilter struct {
// FilterType: The specified filter type
//