1232 lines
55 KiB
Ruby
1232 lines
55 KiB
Ruby
# Copyright 2015 Google Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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require 'date'
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require 'google/apis/core/base_service'
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require 'google/apis/core/json_representation'
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require 'google/apis/core/hashable'
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require 'google/apis/errors'
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module Google
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module Apis
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module MonitoringV1
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# Describes how to combine multiple time series to provide a different view of
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# the data. Aggregation of time series is done in two steps. First, each time
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# series in the set is aligned to the same time interval boundaries, then the
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# set of time series is optionally reduced in number.Alignment consists of
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# applying the per_series_aligner operation to each time series after its data
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# has been divided into regular alignment_period time intervals. This process
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# takes all of the data points in an alignment period, applies a mathematical
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# transformation such as averaging, minimum, maximum, delta, etc., and converts
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# them into a single data point per period.Reduction is when the aligned and
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# transformed time series can optionally be combined, reducing the number of
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# time series through similar mathematical transformations. Reduction involves
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# applying a cross_series_reducer to all the time series, optionally sorting the
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# time series into subsets with group_by_fields, and applying the reducer to
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# each subset.The raw time series data can contain a huge amount of information
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# from multiple sources. Alignment and reduction transforms this mass of data
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# into a more manageable and representative collection of data, for example "the
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# 95% latency across the average of all tasks in a cluster". This representative
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# data can be more easily graphed and comprehended, and the individual time
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# series data is still available for later drilldown. For more details, see
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# Filtering and aggregation (https://cloud.google.com/monitoring/api/v3/
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# aggregation).
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class Aggregation
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include Google::Apis::Core::Hashable
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# The alignment_period specifies a time interval, in seconds, that is used to
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# divide the data in all the time series into consistent blocks of time. This
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# will be done before the per-series aligner can be applied to the data.The
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# value must be at least 60 seconds. If a per-series aligner other than
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# ALIGN_NONE is specified, this field is required or an error is returned. If no
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# per-series aligner is specified, or the aligner ALIGN_NONE is specified, then
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# this field is ignored.
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# Corresponds to the JSON property `alignmentPeriod`
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# @return [String]
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attr_accessor :alignment_period
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# The reduction operation to be used to combine time series into a single time
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# series, where the value of each data point in the resulting series is a
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# function of all the already aligned values in the input time series.Not all
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# reducer operations can be applied to all time series. The valid choices depend
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# on the metric_kind and the value_type of the original time series. Reduction
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# can yield a time series with a different metric_kind or value_type than the
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# input time series.Time series data must first be aligned (see
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# per_series_aligner) in order to perform cross-time series reduction. If
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# cross_series_reducer is specified, then per_series_aligner must be specified,
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# and must not be ALIGN_NONE. An alignment_period must also be specified;
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# otherwise, an error is returned.
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# Corresponds to the JSON property `crossSeriesReducer`
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# @return [String]
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attr_accessor :cross_series_reducer
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# The set of fields to preserve when cross_series_reducer is specified. The
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# group_by_fields determine how the time series are partitioned into subsets
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# prior to applying the aggregation operation. Each subset contains time series
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# that have the same value for each of the grouping fields. Each individual time
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# series is a member of exactly one subset. The cross_series_reducer is applied
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# to each subset of time series. It is not possible to reduce across different
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# resource types, so this field implicitly contains resource.type. Fields not
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# specified in group_by_fields are aggregated away. If group_by_fields is not
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# specified and all the time series have the same resource type, then the time
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# series are aggregated into a single output time series. If
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# cross_series_reducer is not defined, this field is ignored.
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# Corresponds to the JSON property `groupByFields`
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# @return [Array<String>]
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attr_accessor :group_by_fields
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# An Aligner describes how to bring the data points in a single time series into
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# temporal alignment. Except for ALIGN_NONE, all alignments cause all the data
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# points in an alignment_period to be mathematically grouped together, resulting
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# in a single data point for each alignment_period with end timestamp at the end
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# of the period.Not all alignment operations may be applied to all time series.
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# The valid choices depend on the metric_kind and value_type of the original
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# time series. Alignment can change the metric_kind or the value_type of the
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# time series.Time series data must be aligned in order to perform cross-time
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# series reduction. If cross_series_reducer is specified, then
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# per_series_aligner must be specified and not equal to ALIGN_NONE and
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# alignment_period must be specified; otherwise, an error is returned.
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# Corresponds to the JSON property `perSeriesAligner`
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# @return [String]
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attr_accessor :per_series_aligner
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@alignment_period = args[:alignment_period] if args.key?(:alignment_period)
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@cross_series_reducer = args[:cross_series_reducer] if args.key?(:cross_series_reducer)
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@group_by_fields = args[:group_by_fields] if args.key?(:group_by_fields)
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@per_series_aligner = args[:per_series_aligner] if args.key?(:per_series_aligner)
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end
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end
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# A chart axis.
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class Axis
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include Google::Apis::Core::Hashable
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# The label of the axis.
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# Corresponds to the JSON property `label`
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# @return [String]
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attr_accessor :label
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# The axis scale. By default, a linear scale is used.
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# Corresponds to the JSON property `scale`
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# @return [String]
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attr_accessor :scale
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@label = args[:label] if args.key?(:label)
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@scale = args[:scale] if args.key?(:scale)
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end
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end
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# Options to control visual rendering of a chart.
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class ChartOptions
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include Google::Apis::Core::Hashable
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# The chart mode.
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# Corresponds to the JSON property `mode`
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# @return [String]
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attr_accessor :mode
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@mode = args[:mode] if args.key?(:mode)
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end
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end
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# Defines the layout properties and content for a column.
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class Column
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include Google::Apis::Core::Hashable
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# The relative weight of this column. The column weight is used to adjust the
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# width of columns on the screen (relative to peers). Greater the weight,
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# greater the width of the column on the screen. If omitted, a value of 1 is
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# used while rendering.
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# Corresponds to the JSON property `weight`
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# @return [Fixnum]
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attr_accessor :weight
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# The display widgets arranged vertically in this column.
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# Corresponds to the JSON property `widgets`
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# @return [Array<Google::Apis::MonitoringV1::Widget>]
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attr_accessor :widgets
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@weight = args[:weight] if args.key?(:weight)
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@widgets = args[:widgets] if args.key?(:widgets)
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end
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end
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# A simplified layout that divides the available space into vertical columns and
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# arranges a set of widgets vertically in each column.
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class ColumnLayout
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include Google::Apis::Core::Hashable
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# The columns of content to display.
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# Corresponds to the JSON property `columns`
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# @return [Array<Google::Apis::MonitoringV1::Column>]
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attr_accessor :columns
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@columns = args[:columns] if args.key?(:columns)
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end
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end
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# A Google Stackdriver dashboard. Dashboards define the content and layout of
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# pages in the Stackdriver web application.
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class Dashboard
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include Google::Apis::Core::Hashable
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# A simplified layout that divides the available space into vertical columns and
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# arranges a set of widgets vertically in each column.
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# Corresponds to the JSON property `columnLayout`
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# @return [Google::Apis::MonitoringV1::ColumnLayout]
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attr_accessor :column_layout
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# Required. The mutable, human-readable name.
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# Corresponds to the JSON property `displayName`
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# @return [String]
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attr_accessor :display_name
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# etag is used for optimistic concurrency control as a way to help prevent
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# simultaneous updates of a policy from overwriting each other. An etag is
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# returned in the response to GetDashboard, and users are expected to put that
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# etag in the request to UpdateDashboard to ensure that their change will be
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# applied to the same version of the Dashboard configuration. The field should
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# not be passed during dashboard creation.
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# Corresponds to the JSON property `etag`
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# @return [String]
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attr_accessor :etag
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# A basic layout divides the available space into vertical columns of equal
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# width and arranges a list of widgets using a row-first strategy.
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# Corresponds to the JSON property `gridLayout`
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# @return [Google::Apis::MonitoringV1::GridLayout]
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attr_accessor :grid_layout
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# Immutable. The resource name of the dashboard.
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# Corresponds to the JSON property `name`
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# @return [String]
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attr_accessor :name
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# A simplified layout that divides the available space into rows and arranges a
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# set of widgets horizontally in each row.
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# Corresponds to the JSON property `rowLayout`
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# @return [Google::Apis::MonitoringV1::RowLayout]
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attr_accessor :row_layout
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@column_layout = args[:column_layout] if args.key?(:column_layout)
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@display_name = args[:display_name] if args.key?(:display_name)
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@etag = args[:etag] if args.key?(:etag)
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@grid_layout = args[:grid_layout] if args.key?(:grid_layout)
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@name = args[:name] if args.key?(:name)
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@row_layout = args[:row_layout] if args.key?(:row_layout)
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end
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end
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# Groups a time series query definition with charting options.
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class DataSet
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include Google::Apis::Core::Hashable
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# A template string for naming TimeSeries in the resulting data set. This should
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# be a string with interpolations of the form $`label_name`, which will resolve
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# to the label's value.
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# Corresponds to the JSON property `legendTemplate`
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# @return [String]
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attr_accessor :legend_template
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# Optional. The lower bound on data point frequency for this data set,
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# implemented by specifying the minimum alignment period to use in a time series
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# query For example, if the data is published once every 10 minutes, the
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# min_alignment_period should be at least 10 minutes. It would not make sense to
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# fetch and align data at one minute intervals.
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# Corresponds to the JSON property `minAlignmentPeriod`
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# @return [String]
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attr_accessor :min_alignment_period
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# How this data should be plotted on the chart.
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# Corresponds to the JSON property `plotType`
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# @return [String]
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attr_accessor :plot_type
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# TimeSeriesQuery collects the set of supported methods for querying time series
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# data from the Stackdriver metrics API.
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# Corresponds to the JSON property `timeSeriesQuery`
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# @return [Google::Apis::MonitoringV1::TimeSeriesQuery]
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attr_accessor :time_series_query
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@legend_template = args[:legend_template] if args.key?(:legend_template)
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@min_alignment_period = args[:min_alignment_period] if args.key?(:min_alignment_period)
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@plot_type = args[:plot_type] if args.key?(:plot_type)
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@time_series_query = args[:time_series_query] if args.key?(:time_series_query)
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end
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end
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# A set of (label, value) pairs which were dropped during aggregation, attached
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# to google.api.Distribution.Exemplars in google.api.Distribution values during
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# aggregation.These values are used in combination with the label values that
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# remain on the aggregated Distribution timeseries to construct the full label
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# set for the exemplar values. The resulting full label set may be used to
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# identify the specific task/job/instance (for example) which may be
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# contributing to a long-tail, while allowing the storage savings of only
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# storing aggregated distribution values for a large group.Note that there are
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# no guarantees on ordering of the labels from exemplar-to-exemplar and from
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# distribution-to-distribution in the same stream, and there may be duplicates.
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# It is up to clients to resolve any ambiguities.
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class DroppedLabels
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include Google::Apis::Core::Hashable
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# Map from label to its value, for all labels dropped in any aggregation.
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# Corresponds to the JSON property `label`
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# @return [Hash<String,String>]
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attr_accessor :label
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@label = args[:label] if args.key?(:label)
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end
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end
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# A generic empty message that you can re-use to avoid defining duplicated empty
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# messages in your APIs. A typical example is to use it as the request or the
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# response type of an API method. For instance:
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# service Foo `
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# rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
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# `
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# The JSON representation for Empty is empty JSON object ``.
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class Empty
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include Google::Apis::Core::Hashable
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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end
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end
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# A single field of a message type.
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class Field
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include Google::Apis::Core::Hashable
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# The field cardinality.
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# Corresponds to the JSON property `cardinality`
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# @return [String]
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attr_accessor :cardinality
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# The string value of the default value of this field. Proto2 syntax only.
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# Corresponds to the JSON property `defaultValue`
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# @return [String]
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attr_accessor :default_value
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# The field JSON name.
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# Corresponds to the JSON property `jsonName`
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# @return [String]
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attr_accessor :json_name
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# The field type.
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# Corresponds to the JSON property `kind`
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# @return [String]
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attr_accessor :kind
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# The field name.
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# Corresponds to the JSON property `name`
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# @return [String]
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attr_accessor :name
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# The field number.
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# Corresponds to the JSON property `number`
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# @return [Fixnum]
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attr_accessor :number
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# The index of the field type in Type.oneofs, for message or enumeration types.
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# The first type has index 1; zero means the type is not in the list.
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# Corresponds to the JSON property `oneofIndex`
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# @return [Fixnum]
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attr_accessor :oneof_index
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# The protocol buffer options.
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# Corresponds to the JSON property `options`
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# @return [Array<Google::Apis::MonitoringV1::Option>]
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attr_accessor :options
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# Whether to use alternative packed wire representation.
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# Corresponds to the JSON property `packed`
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# @return [Boolean]
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attr_accessor :packed
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alias_method :packed?, :packed
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# The field type URL, without the scheme, for message or enumeration types.
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# Example: "type.googleapis.com/google.protobuf.Timestamp".
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# Corresponds to the JSON property `typeUrl`
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# @return [String]
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attr_accessor :type_url
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@cardinality = args[:cardinality] if args.key?(:cardinality)
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@default_value = args[:default_value] if args.key?(:default_value)
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@json_name = args[:json_name] if args.key?(:json_name)
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@kind = args[:kind] if args.key?(:kind)
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@name = args[:name] if args.key?(:name)
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@number = args[:number] if args.key?(:number)
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@oneof_index = args[:oneof_index] if args.key?(:oneof_index)
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@options = args[:options] if args.key?(:options)
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@packed = args[:packed] if args.key?(:packed)
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@type_url = args[:type_url] if args.key?(:type_url)
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end
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end
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# A gauge chart shows where the current value sits within a pre-defined range.
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# The upper and lower bounds should define the possible range of values for the
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# scorecard's query (inclusive).
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class GaugeView
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include Google::Apis::Core::Hashable
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# The lower bound for this gauge chart. The value of the chart should always be
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# greater than or equal to this.
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# Corresponds to the JSON property `lowerBound`
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# @return [Float]
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attr_accessor :lower_bound
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# The upper bound for this gauge chart. The value of the chart should always be
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# less than or equal to this.
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# Corresponds to the JSON property `upperBound`
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# @return [Float]
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attr_accessor :upper_bound
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@lower_bound = args[:lower_bound] if args.key?(:lower_bound)
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@upper_bound = args[:upper_bound] if args.key?(:upper_bound)
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end
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end
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# A basic layout divides the available space into vertical columns of equal
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# width and arranges a list of widgets using a row-first strategy.
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class GridLayout
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include Google::Apis::Core::Hashable
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# The number of columns into which the view's width is divided. If omitted or
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# set to zero, a system default will be used while rendering.
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# Corresponds to the JSON property `columns`
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# @return [Fixnum]
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attr_accessor :columns
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# The informational elements that are arranged into the columns row-first.
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# Corresponds to the JSON property `widgets`
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# @return [Array<Google::Apis::MonitoringV1::Widget>]
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attr_accessor :widgets
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def initialize(**args)
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update!(**args)
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end
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# Update properties of this object
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def update!(**args)
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@columns = args[:columns] if args.key?(:columns)
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@widgets = args[:widgets] if args.key?(:widgets)
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end
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end
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# The ListDashboards request.
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|
class ListDashboardsResponse
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The list of requested dashboards.
|
|
# Corresponds to the JSON property `dashboards`
|
|
# @return [Array<Google::Apis::MonitoringV1::Dashboard>]
|
|
attr_accessor :dashboards
|
|
|
|
# If there are more results than have been returned, then this field is set to a
|
|
# non-empty value. To see the additional results, use that value as page_token
|
|
# in the next call to this method.
|
|
# Corresponds to the JSON property `nextPageToken`
|
|
# @return [String]
|
|
attr_accessor :next_page_token
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@dashboards = args[:dashboards] if args.key?(:dashboards)
|
|
@next_page_token = args[:next_page_token] if args.key?(:next_page_token)
|
|
end
|
|
end
|
|
|
|
# A protocol buffer option, which can be attached to a message, field,
|
|
# enumeration, etc.
|
|
class Option
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The option's name. For protobuf built-in options (options defined in
|
|
# descriptor.proto), this is the short name. For example, "map_entry". For
|
|
# custom options, it should be the fully-qualified name. For example, "google.
|
|
# api.http".
|
|
# Corresponds to the JSON property `name`
|
|
# @return [String]
|
|
attr_accessor :name
|
|
|
|
# The option's value packed in an Any message. If the value is a primitive, the
|
|
# corresponding wrapper type defined in google/protobuf/wrappers.proto should be
|
|
# used. If the value is an enum, it should be stored as an int32 value using the
|
|
# google.protobuf.Int32Value type.
|
|
# Corresponds to the JSON property `value`
|
|
# @return [Hash<String,Object>]
|
|
attr_accessor :value
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@name = args[:name] if args.key?(:name)
|
|
@value = args[:value] if args.key?(:value)
|
|
end
|
|
end
|
|
|
|
# Describes a ranking-based time series filter. Each input time series is ranked
|
|
# with an aligner. The filter will allow up to num_time_series time series to
|
|
# pass through it, selecting them based on the relative ranking.For example, if
|
|
# ranking_method is METHOD_MEAN,direction is BOTTOM, and num_time_series is 3,
|
|
# then the 3 times series with the lowest mean values will pass through the
|
|
# filter.
|
|
class PickTimeSeriesFilter
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# How to use the ranking to select time series that pass through the filter.
|
|
# Corresponds to the JSON property `direction`
|
|
# @return [String]
|
|
attr_accessor :direction
|
|
|
|
# How many time series to allow to pass through the filter.
|
|
# Corresponds to the JSON property `numTimeSeries`
|
|
# @return [Fixnum]
|
|
attr_accessor :num_time_series
|
|
|
|
# ranking_method is applied to each time series independently to produce the
|
|
# value which will be used to compare the time series to other time series.
|
|
# Corresponds to the JSON property `rankingMethod`
|
|
# @return [String]
|
|
attr_accessor :ranking_method
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@direction = args[:direction] if args.key?(:direction)
|
|
@num_time_series = args[:num_time_series] if args.key?(:num_time_series)
|
|
@ranking_method = args[:ranking_method] if args.key?(:ranking_method)
|
|
end
|
|
end
|
|
|
|
# Describes a query to build the numerator or denominator of a
|
|
# TimeSeriesFilterRatio.
|
|
class RatioPart
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# 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).
|
|
# Corresponds to the JSON property `aggregation`
|
|
# @return [Google::Apis::MonitoringV1::Aggregation]
|
|
attr_accessor :aggregation
|
|
|
|
# Required. The monitoring filter (https://cloud.google.com/monitoring/api/v3/
|
|
# filters) that identifies the metric types, resources, and projects to query.
|
|
# Corresponds to the JSON property `filter`
|
|
# @return [String]
|
|
attr_accessor :filter
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@aggregation = args[:aggregation] if args.key?(:aggregation)
|
|
@filter = args[:filter] if args.key?(:filter)
|
|
end
|
|
end
|
|
|
|
# Defines the layout properties and content for a row.
|
|
class Row
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The relative weight of this row. The row weight is used to adjust the height
|
|
# of rows on the screen (relative to peers). Greater the weight, greater the
|
|
# height of the row on the screen. If omitted, a value of 1 is used while
|
|
# rendering.
|
|
# Corresponds to the JSON property `weight`
|
|
# @return [Fixnum]
|
|
attr_accessor :weight
|
|
|
|
# The display widgets arranged horizontally in this row.
|
|
# Corresponds to the JSON property `widgets`
|
|
# @return [Array<Google::Apis::MonitoringV1::Widget>]
|
|
attr_accessor :widgets
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@weight = args[:weight] if args.key?(:weight)
|
|
@widgets = args[:widgets] if args.key?(:widgets)
|
|
end
|
|
end
|
|
|
|
# A simplified layout that divides the available space into rows and arranges a
|
|
# set of widgets horizontally in each row.
|
|
class RowLayout
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The rows of content to display.
|
|
# Corresponds to the JSON property `rows`
|
|
# @return [Array<Google::Apis::MonitoringV1::Row>]
|
|
attr_accessor :rows
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@rows = args[:rows] if args.key?(:rows)
|
|
end
|
|
end
|
|
|
|
# A widget showing the latest value of a metric, and how this value relates to
|
|
# one or more thresholds.
|
|
class Scorecard
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# A gauge chart shows where the current value sits within a pre-defined range.
|
|
# The upper and lower bounds should define the possible range of values for the
|
|
# scorecard's query (inclusive).
|
|
# Corresponds to the JSON property `gaugeView`
|
|
# @return [Google::Apis::MonitoringV1::GaugeView]
|
|
attr_accessor :gauge_view
|
|
|
|
# A sparkChart is a small chart suitable for inclusion in a table-cell or inline
|
|
# in text. This message contains the configuration for a sparkChart to show up
|
|
# on a Scorecard, showing recent trends of the scorecard's timeseries.
|
|
# Corresponds to the JSON property `sparkChartView`
|
|
# @return [Google::Apis::MonitoringV1::SparkChartView]
|
|
attr_accessor :spark_chart_view
|
|
|
|
# The thresholds used to determine the state of the scorecard given the time
|
|
# series' current value. For an actual value x, the scorecard is in a danger
|
|
# state if x is less than or equal to a danger threshold that triggers below, or
|
|
# greater than or equal to a danger threshold that triggers above. Similarly, if
|
|
# x is above/below a warning threshold that triggers above/below, then the
|
|
# scorecard is in a warning state - unless x also puts it in a danger state. (
|
|
# Danger trumps warning.)As an example, consider a scorecard with the following
|
|
# four thresholds: ` value: 90, category: 'DANGER', trigger: 'ABOVE', `, `
|
|
# value: 70, category: 'WARNING', trigger: 'ABOVE', `, ` value: 10, category:
|
|
# 'DANGER', trigger: 'BELOW', `, ` value: 20, category: 'WARNING', trigger:
|
|
# 'BELOW', `Then: values less than or equal to 10 would put the scorecard in a
|
|
# DANGER state, values greater than 10 but less than or equal to 20 a WARNING
|
|
# state, values strictly between 20 and 70 an OK state, values greater than or
|
|
# equal to 70 but less than 90 a WARNING state, and values greater than or equal
|
|
# to 90 a DANGER state.
|
|
# Corresponds to the JSON property `thresholds`
|
|
# @return [Array<Google::Apis::MonitoringV1::Threshold>]
|
|
attr_accessor :thresholds
|
|
|
|
# TimeSeriesQuery collects the set of supported methods for querying time series
|
|
# data from the Stackdriver metrics API.
|
|
# Corresponds to the JSON property `timeSeriesQuery`
|
|
# @return [Google::Apis::MonitoringV1::TimeSeriesQuery]
|
|
attr_accessor :time_series_query
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@gauge_view = args[:gauge_view] if args.key?(:gauge_view)
|
|
@spark_chart_view = args[:spark_chart_view] if args.key?(:spark_chart_view)
|
|
@thresholds = args[:thresholds] if args.key?(:thresholds)
|
|
@time_series_query = args[:time_series_query] if args.key?(:time_series_query)
|
|
end
|
|
end
|
|
|
|
# SourceContext represents information about the source of a protobuf element,
|
|
# like the file in which it is defined.
|
|
class SourceContext
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The path-qualified name of the .proto file that contained the associated
|
|
# protobuf element. For example: "google/protobuf/source_context.proto".
|
|
# Corresponds to the JSON property `fileName`
|
|
# @return [String]
|
|
attr_accessor :file_name
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@file_name = args[:file_name] if args.key?(:file_name)
|
|
end
|
|
end
|
|
|
|
# The context of a span, attached to Exemplars in Distribution values during
|
|
# aggregation.It contains the name of a span with format:
|
|
# projects/[PROJECT_ID_OR_NUMBER]/traces/[TRACE_ID]/spans/[SPAN_ID]
|
|
class SpanContext
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The resource name of the span. The format is:
|
|
# projects/[PROJECT_ID_OR_NUMBER]/traces/[TRACE_ID]/spans/[SPAN_ID]
|
|
# [TRACE_ID] is a unique identifier for a trace within a project; it is a 32-
|
|
# character hexadecimal encoding of a 16-byte array.[SPAN_ID] is a unique
|
|
# identifier for a span within a trace; it is a 16-character hexadecimal
|
|
# encoding of an 8-byte array.
|
|
# Corresponds to the JSON property `spanName`
|
|
# @return [String]
|
|
attr_accessor :span_name
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@span_name = args[:span_name] if args.key?(:span_name)
|
|
end
|
|
end
|
|
|
|
# A sparkChart is a small chart suitable for inclusion in a table-cell or inline
|
|
# in text. This message contains the configuration for a sparkChart to show up
|
|
# on a Scorecard, showing recent trends of the scorecard's timeseries.
|
|
class SparkChartView
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The lower bound on data point frequency in the chart implemented by specifying
|
|
# the minimum alignment period to use in a time series query. For example, if
|
|
# the data is published once every 10 minutes it would not make sense to fetch
|
|
# and align data at one minute intervals. This field is optional and exists only
|
|
# as a hint.
|
|
# Corresponds to the JSON property `minAlignmentPeriod`
|
|
# @return [String]
|
|
attr_accessor :min_alignment_period
|
|
|
|
# Required. The type of sparkchart to show in this chartView.
|
|
# Corresponds to the JSON property `sparkChartType`
|
|
# @return [String]
|
|
attr_accessor :spark_chart_type
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@min_alignment_period = args[:min_alignment_period] if args.key?(:min_alignment_period)
|
|
@spark_chart_type = args[:spark_chart_type] if args.key?(:spark_chart_type)
|
|
end
|
|
end
|
|
|
|
# A widget that displays textual content.
|
|
class Text
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The text content to be displayed.
|
|
# Corresponds to the JSON property `content`
|
|
# @return [String]
|
|
attr_accessor :content
|
|
|
|
# How the text content is formatted.
|
|
# Corresponds to the JSON property `format`
|
|
# @return [String]
|
|
attr_accessor :format
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@content = args[:content] if args.key?(:content)
|
|
@format = args[:format] if args.key?(:format)
|
|
end
|
|
end
|
|
|
|
# Defines a threshold for categorizing time series values.
|
|
class Threshold
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The state color for this threshold. Color is not allowed in a XyChart.
|
|
# Corresponds to the JSON property `color`
|
|
# @return [String]
|
|
attr_accessor :color
|
|
|
|
# The direction for the current threshold. Direction is not allowed in a XyChart.
|
|
# Corresponds to the JSON property `direction`
|
|
# @return [String]
|
|
attr_accessor :direction
|
|
|
|
# A label for the threshold.
|
|
# Corresponds to the JSON property `label`
|
|
# @return [String]
|
|
attr_accessor :label
|
|
|
|
# The value of the threshold. The value should be defined in the native scale of
|
|
# the metric.
|
|
# Corresponds to the JSON property `value`
|
|
# @return [Float]
|
|
attr_accessor :value
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@color = args[:color] if args.key?(:color)
|
|
@direction = args[:direction] if args.key?(:direction)
|
|
@label = args[:label] if args.key?(:label)
|
|
@value = args[:value] if args.key?(:value)
|
|
end
|
|
end
|
|
|
|
# A filter that defines a subset of time series data that is displayed in a
|
|
# widget. Time series data is fetched using the ListTimeSeries (https://cloud.
|
|
# google.com/monitoring/api/ref_v3/rest/v3/projects.timeSeries/list) method.
|
|
class TimeSeriesFilter
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# 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).
|
|
# Corresponds to the JSON property `aggregation`
|
|
# @return [Google::Apis::MonitoringV1::Aggregation]
|
|
attr_accessor :aggregation
|
|
|
|
# Required. The monitoring filter (https://cloud.google.com/monitoring/api/v3/
|
|
# filters) that identifies the metric types, resources, and projects to query.
|
|
# Corresponds to the JSON property `filter`
|
|
# @return [String]
|
|
attr_accessor :filter
|
|
|
|
# Describes a ranking-based time series filter. Each input time series is ranked
|
|
# with an aligner. The filter will allow up to num_time_series time series to
|
|
# pass through it, selecting them based on the relative ranking.For example, if
|
|
# ranking_method is METHOD_MEAN,direction is BOTTOM, and num_time_series is 3,
|
|
# then the 3 times series with the lowest mean values will pass through the
|
|
# filter.
|
|
# Corresponds to the JSON property `pickTimeSeriesFilter`
|
|
# @return [Google::Apis::MonitoringV1::PickTimeSeriesFilter]
|
|
attr_accessor :pick_time_series_filter
|
|
|
|
# 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).
|
|
# Corresponds to the JSON property `secondaryAggregation`
|
|
# @return [Google::Apis::MonitoringV1::Aggregation]
|
|
attr_accessor :secondary_aggregation
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@aggregation = args[:aggregation] if args.key?(:aggregation)
|
|
@filter = args[:filter] if args.key?(:filter)
|
|
@pick_time_series_filter = args[:pick_time_series_filter] if args.key?(:pick_time_series_filter)
|
|
@secondary_aggregation = args[:secondary_aggregation] if args.key?(:secondary_aggregation)
|
|
end
|
|
end
|
|
|
|
# A pair of time series filters that define a ratio computation. The output time
|
|
# series is the pair-wise division of each aligned element from the numerator
|
|
# and denominator time series.
|
|
class TimeSeriesFilterRatio
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# Describes a query to build the numerator or denominator of a
|
|
# TimeSeriesFilterRatio.
|
|
# Corresponds to the JSON property `denominator`
|
|
# @return [Google::Apis::MonitoringV1::RatioPart]
|
|
attr_accessor :denominator
|
|
|
|
# Describes a query to build the numerator or denominator of a
|
|
# TimeSeriesFilterRatio.
|
|
# Corresponds to the JSON property `numerator`
|
|
# @return [Google::Apis::MonitoringV1::RatioPart]
|
|
attr_accessor :numerator
|
|
|
|
# Describes a ranking-based time series filter. Each input time series is ranked
|
|
# with an aligner. The filter will allow up to num_time_series time series to
|
|
# pass through it, selecting them based on the relative ranking.For example, if
|
|
# ranking_method is METHOD_MEAN,direction is BOTTOM, and num_time_series is 3,
|
|
# then the 3 times series with the lowest mean values will pass through the
|
|
# filter.
|
|
# Corresponds to the JSON property `pickTimeSeriesFilter`
|
|
# @return [Google::Apis::MonitoringV1::PickTimeSeriesFilter]
|
|
attr_accessor :pick_time_series_filter
|
|
|
|
# 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).
|
|
# Corresponds to the JSON property `secondaryAggregation`
|
|
# @return [Google::Apis::MonitoringV1::Aggregation]
|
|
attr_accessor :secondary_aggregation
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@denominator = args[:denominator] if args.key?(:denominator)
|
|
@numerator = args[:numerator] if args.key?(:numerator)
|
|
@pick_time_series_filter = args[:pick_time_series_filter] if args.key?(:pick_time_series_filter)
|
|
@secondary_aggregation = args[:secondary_aggregation] if args.key?(:secondary_aggregation)
|
|
end
|
|
end
|
|
|
|
# TimeSeriesQuery collects the set of supported methods for querying time series
|
|
# data from the Stackdriver metrics API.
|
|
class TimeSeriesQuery
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# A filter that defines a subset of time series data that is displayed in a
|
|
# widget. Time series data is fetched using the ListTimeSeries (https://cloud.
|
|
# google.com/monitoring/api/ref_v3/rest/v3/projects.timeSeries/list) method.
|
|
# Corresponds to the JSON property `timeSeriesFilter`
|
|
# @return [Google::Apis::MonitoringV1::TimeSeriesFilter]
|
|
attr_accessor :time_series_filter
|
|
|
|
# A pair of time series filters that define a ratio computation. The output time
|
|
# series is the pair-wise division of each aligned element from the numerator
|
|
# and denominator time series.
|
|
# Corresponds to the JSON property `timeSeriesFilterRatio`
|
|
# @return [Google::Apis::MonitoringV1::TimeSeriesFilterRatio]
|
|
attr_accessor :time_series_filter_ratio
|
|
|
|
# A query used to fetch time series.
|
|
# Corresponds to the JSON property `timeSeriesQueryLanguage`
|
|
# @return [String]
|
|
attr_accessor :time_series_query_language
|
|
|
|
# The unit of data contained in fetched time series. If non-empty, this unit
|
|
# will override any unit that accompanies fetched data. The format is the same
|
|
# as the unit (https://cloud.google.com/monitoring/api/ref_v3/rest/v3/projects.
|
|
# metricDescriptors) field in MetricDescriptor.
|
|
# Corresponds to the JSON property `unitOverride`
|
|
# @return [String]
|
|
attr_accessor :unit_override
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@time_series_filter = args[:time_series_filter] if args.key?(:time_series_filter)
|
|
@time_series_filter_ratio = args[:time_series_filter_ratio] if args.key?(:time_series_filter_ratio)
|
|
@time_series_query_language = args[:time_series_query_language] if args.key?(:time_series_query_language)
|
|
@unit_override = args[:unit_override] if args.key?(:unit_override)
|
|
end
|
|
end
|
|
|
|
# A protocol buffer message type.
|
|
class Type
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# The list of fields.
|
|
# Corresponds to the JSON property `fields`
|
|
# @return [Array<Google::Apis::MonitoringV1::Field>]
|
|
attr_accessor :fields
|
|
|
|
# The fully qualified message name.
|
|
# Corresponds to the JSON property `name`
|
|
# @return [String]
|
|
attr_accessor :name
|
|
|
|
# The list of types appearing in oneof definitions in this type.
|
|
# Corresponds to the JSON property `oneofs`
|
|
# @return [Array<String>]
|
|
attr_accessor :oneofs
|
|
|
|
# The protocol buffer options.
|
|
# Corresponds to the JSON property `options`
|
|
# @return [Array<Google::Apis::MonitoringV1::Option>]
|
|
attr_accessor :options
|
|
|
|
# SourceContext represents information about the source of a protobuf element,
|
|
# like the file in which it is defined.
|
|
# Corresponds to the JSON property `sourceContext`
|
|
# @return [Google::Apis::MonitoringV1::SourceContext]
|
|
attr_accessor :source_context
|
|
|
|
# The source syntax.
|
|
# Corresponds to the JSON property `syntax`
|
|
# @return [String]
|
|
attr_accessor :syntax
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@fields = args[:fields] if args.key?(:fields)
|
|
@name = args[:name] if args.key?(:name)
|
|
@oneofs = args[:oneofs] if args.key?(:oneofs)
|
|
@options = args[:options] if args.key?(:options)
|
|
@source_context = args[:source_context] if args.key?(:source_context)
|
|
@syntax = args[:syntax] if args.key?(:syntax)
|
|
end
|
|
end
|
|
|
|
# Widget contains a single dashboard component and configuration of how to
|
|
# present the component in the dashboard.
|
|
class Widget
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# A generic empty message that you can re-use to avoid defining duplicated empty
|
|
# messages in your APIs. A typical example is to use it as the request or the
|
|
# response type of an API method. For instance:
|
|
# service Foo `
|
|
# rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
|
|
# `
|
|
# The JSON representation for Empty is empty JSON object ``.
|
|
# Corresponds to the JSON property `blank`
|
|
# @return [Google::Apis::MonitoringV1::Empty]
|
|
attr_accessor :blank
|
|
|
|
# A widget showing the latest value of a metric, and how this value relates to
|
|
# one or more thresholds.
|
|
# Corresponds to the JSON property `scorecard`
|
|
# @return [Google::Apis::MonitoringV1::Scorecard]
|
|
attr_accessor :scorecard
|
|
|
|
# A widget that displays textual content.
|
|
# Corresponds to the JSON property `text`
|
|
# @return [Google::Apis::MonitoringV1::Text]
|
|
attr_accessor :text
|
|
|
|
# Optional. The title of the widget.
|
|
# Corresponds to the JSON property `title`
|
|
# @return [String]
|
|
attr_accessor :title
|
|
|
|
# A chart that displays data on a 2D (X and Y axes) plane.
|
|
# Corresponds to the JSON property `xyChart`
|
|
# @return [Google::Apis::MonitoringV1::XyChart]
|
|
attr_accessor :xy_chart
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@blank = args[:blank] if args.key?(:blank)
|
|
@scorecard = args[:scorecard] if args.key?(:scorecard)
|
|
@text = args[:text] if args.key?(:text)
|
|
@title = args[:title] if args.key?(:title)
|
|
@xy_chart = args[:xy_chart] if args.key?(:xy_chart)
|
|
end
|
|
end
|
|
|
|
# A chart that displays data on a 2D (X and Y axes) plane.
|
|
class XyChart
|
|
include Google::Apis::Core::Hashable
|
|
|
|
# Options to control visual rendering of a chart.
|
|
# Corresponds to the JSON property `chartOptions`
|
|
# @return [Google::Apis::MonitoringV1::ChartOptions]
|
|
attr_accessor :chart_options
|
|
|
|
# Required. The data displayed in this chart.
|
|
# Corresponds to the JSON property `dataSets`
|
|
# @return [Array<Google::Apis::MonitoringV1::DataSet>]
|
|
attr_accessor :data_sets
|
|
|
|
# Threshold lines drawn horizontally across the chart.
|
|
# Corresponds to the JSON property `thresholds`
|
|
# @return [Array<Google::Apis::MonitoringV1::Threshold>]
|
|
attr_accessor :thresholds
|
|
|
|
# The duration used to display a comparison chart. A comparison chart
|
|
# simultaneously shows values from two similar-length time periods (e.g., week-
|
|
# over-week metrics). The duration must be positive, and it can only be applied
|
|
# to charts with data sets of LINE plot type.
|
|
# Corresponds to the JSON property `timeshiftDuration`
|
|
# @return [String]
|
|
attr_accessor :timeshift_duration
|
|
|
|
# A chart axis.
|
|
# Corresponds to the JSON property `xAxis`
|
|
# @return [Google::Apis::MonitoringV1::Axis]
|
|
attr_accessor :x_axis
|
|
|
|
# A chart axis.
|
|
# Corresponds to the JSON property `yAxis`
|
|
# @return [Google::Apis::MonitoringV1::Axis]
|
|
attr_accessor :y_axis
|
|
|
|
def initialize(**args)
|
|
update!(**args)
|
|
end
|
|
|
|
# Update properties of this object
|
|
def update!(**args)
|
|
@chart_options = args[:chart_options] if args.key?(:chart_options)
|
|
@data_sets = args[:data_sets] if args.key?(:data_sets)
|
|
@thresholds = args[:thresholds] if args.key?(:thresholds)
|
|
@timeshift_duration = args[:timeshift_duration] if args.key?(:timeshift_duration)
|
|
@x_axis = args[:x_axis] if args.key?(:x_axis)
|
|
@y_axis = args[:y_axis] if args.key?(:y_axis)
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|