/
v4.ts
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/
v4.ts
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/**
* Copyright 2015 Google Inc. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import {AxiosPromise} from 'axios';
import {Compute, JWT, OAuth2Client, UserRefreshClient} from 'google-auth-library';
import {GoogleApis} from '../..';
import {BodyResponseCallback, GlobalOptions, MethodOptions} from '../../shared/api';
import {createAPIRequest} from '../../shared/apirequest';
// TODO: We will eventually get the `any` in here cleared out, but in the
// interim we want to turn on no-implicit-any.
// tslint:disable: no-any
// tslint:disable: class-name
// tslint:disable: variable-name
// tslint:disable: jsdoc-format
// tslint:disable: no-namespace
export namespace analyticsreporting_v4 {
export interface Options extends GlobalOptions {
version: 'v4';
}
/**
* Google Analytics Reporting API
*
* Accesses Analytics report data.
*
* @example
* const google = require('googleapis');
* const analyticsreporting = google.analyticsreporting('v4');
*
* @namespace analyticsreporting
* @type {Function}
* @version v4
* @variation v4
* @param {object=} options Options for Analyticsreporting
*/
export class Analyticsreporting {
_options: GlobalOptions;
google: GoogleApis;
root = this;
reports: Resource$Reports;
constructor(options: GlobalOptions, google: GoogleApis) {
this._options = options || {};
this.google = google;
this.getRoot.bind(this);
this.reports = new Resource$Reports(this);
}
getRoot() {
return this.root;
}
}
/**
* Defines a cohort. A cohort is a group of users who share a common
* characteristic. For example, all users with the same acquisition date
* belong to the same cohort.
*/
export interface Schema$Cohort {
/**
* This is used for `FIRST_VISIT_DATE` cohort, the cohort selects users
* whose first visit date is between start date and end date defined in the
* DateRange. The date ranges should be aligned for cohort requests. If the
* request contains `ga:cohortNthDay` it should be exactly one day long, if
* `ga:cohortNthWeek` it should be aligned to the week boundary (starting at
* Sunday and ending Saturday), and for `ga:cohortNthMonth` the date range
* should be aligned to the month (starting at the first and ending on the
* last day of the month). For LTV requests there are no such restrictions.
* You do not need to supply a date range for the
* `reportsRequest.dateRanges` field.
*/
dateRange?: Schema$DateRange;
/**
* A unique name for the cohort. If not defined name will be auto-generated
* with values cohort_[1234...].
*/
name?: string;
/**
* Type of the cohort. The only supported type as of now is
* `FIRST_VISIT_DATE`. If this field is unspecified the cohort is treated as
* `FIRST_VISIT_DATE` type cohort.
*/
type?: string;
}
/**
* Defines a cohort group. For example: "cohortGroup": {
* "cohorts": [{ "name": "cohort 1",
* "type": "FIRST_VISIT_DATE", "dateRange": {
* "startDate": "2015-08-01", "endDate":
* "2015-08-01" } },{ "name": "cohort
* 2" "type": "FIRST_VISIT_DATE"
* "dateRange": { "startDate": "2015-07-01",
* "endDate": "2015-07-01" } }] }
*/
export interface Schema$CohortGroup {
/**
* The definition for the cohort.
*/
cohorts?: Schema$Cohort[];
/**
* Enable Life Time Value (LTV). LTV measures lifetime value for users
* acquired through different channels. Please see: [Cohort
* Analysis](https://support.google.com/analytics/answer/6074676) and
* [Lifetime Value](https://support.google.com/analytics/answer/6182550) If
* the value of lifetimeValue is false: - The metric values are similar to
* the values in the web interface cohort report. - The cohort definition
* date ranges must be aligned to the calendar week and month. i.e. while
* requesting `ga:cohortNthWeek` the `startDate` in the cohort definition
* should be a Sunday and the `endDate` should be the following Saturday,
* and for `ga:cohortNthMonth`, the `startDate` should be the 1st of the
* month and `endDate` should be the last day of the month. When the
* lifetimeValue is true: - The metric values will correspond to the values
* in the web interface LifeTime value report. - The Lifetime Value report
* shows you how user value (Revenue) and engagement (Appviews, Goal
* Completions, Sessions, and Session Duration) grow during the 90 days
* after a user is acquired. - The metrics are calculated as a cumulative
* average per user per the time increment. - The cohort definition date
* ranges need not be aligned to the calendar week and month boundaries. -
* The `viewId` must be an [app view
* ID](https://support.google.com/analytics/answer/2649553#WebVersusAppViews)
*/
lifetimeValue?: boolean;
}
/**
* Column headers.
*/
export interface Schema$ColumnHeader {
/**
* The dimension names in the response.
*/
dimensions?: string[];
/**
* Metric headers for the metrics in the response.
*/
metricHeader?: Schema$MetricHeader;
}
/**
* A contiguous set of days: startDate, startDate + 1 day, ..., endDate. The
* start and end dates are specified in
* [ISO8601](https://en.wikipedia.org/wiki/ISO_8601) date format `YYYY-MM-DD`.
*/
export interface Schema$DateRange {
/**
* The end date for the query in the format `YYYY-MM-DD`.
*/
endDate?: string;
/**
* The start date for the query in the format `YYYY-MM-DD`.
*/
startDate?: string;
}
/**
* Used to return a list of metrics for a single DateRange / dimension
* combination
*/
export interface Schema$DateRangeValues {
/**
* The values of each pivot region.
*/
pivotValueRegions?: Schema$PivotValueRegion[];
/**
* Each value corresponds to each Metric in the request.
*/
values?: string[];
}
/**
* [Dimensions](https://support.google.com/analytics/answer/1033861) are
* attributes of your data. For example, the dimension `ga:city` indicates the
* city, for example, "Paris" or "New York", from which a
* session originates.
*/
export interface Schema$Dimension {
/**
* If non-empty, we place dimension values into buckets after string to
* int64. Dimension values that are not the string representation of an
* integral value will be converted to zero. The bucket values have to be
* in increasing order. Each bucket is closed on the lower end, and open on
* the upper end. The "first" bucket includes all values less than
* the first boundary, the "last" bucket includes all values up to
* infinity. Dimension values that fall in a bucket get transformed to a new
* dimension value. For example, if one gives a list of "0, 1, 3, 4,
* 7", then we return the following buckets: - bucket #1: values <
* 0, dimension value "<0" - bucket #2: values in [0,1),
* dimension value "0" - bucket #3: values in [1,3), dimension
* value "1-2" - bucket #4: values in [3,4), dimension value
* "3" - bucket #5: values in [4,7), dimension value
* "4-6" - bucket #6: values >= 7, dimension value
* "7+" NOTE: If you are applying histogram mutation on any
* dimension, and using that dimension in sort, you will want to use the
* sort type `HISTOGRAM_BUCKET` for that purpose. Without that the dimension
* values will be sorted according to dictionary (lexicographic) order. For
* example the ascending dictionary order is: "<50",
* "1001+", "121-1000", "50-120" And the
* ascending `HISTOGRAM_BUCKET` order is: "<50",
* "50-120", "121-1000", "1001+" The client
* has to explicitly request `"orderType":
* "HISTOGRAM_BUCKET"` for a histogram-mutated dimension.
*/
histogramBuckets?: string[];
/**
* Name of the dimension to fetch, for example `ga:browser`.
*/
name?: string;
}
/**
* Dimension filter specifies the filtering options on a dimension.
*/
export interface Schema$DimensionFilter {
/**
* Should the match be case sensitive? Default is false.
*/
caseSensitive?: boolean;
/**
* The dimension to filter on. A DimensionFilter must contain a dimension.
*/
dimensionName?: string;
/**
* Strings or regular expression to match against. Only the first value of
* the list is used for comparison unless the operator is `IN_LIST`. If
* `IN_LIST` operator, then the entire list is used to filter the dimensions
* as explained in the description of the `IN_LIST` operator.
*/
expressions?: string[];
/**
* Logical `NOT` operator. If this boolean is set to true, then the matching
* dimension values will be excluded in the report. The default is false.
*/
not?: boolean;
/**
* How to match the dimension to the expression. The default is REGEXP.
*/
operator?: string;
}
/**
* A group of dimension filters. Set the operator value to specify how the
* filters are logically combined.
*/
export interface Schema$DimensionFilterClause {
/**
* The repeated set of filters. They are logically combined based on the
* operator specified.
*/
filters?: Schema$DimensionFilter[];
/**
* The operator for combining multiple dimension filters. If unspecified, it
* is treated as an `OR`.
*/
operator?: string;
}
/**
* Dynamic segment definition for defining the segment within the request. A
* segment can select users, sessions or both.
*/
export interface Schema$DynamicSegment {
/**
* The name of the dynamic segment.
*/
name?: string;
/**
* Session Segment to select sessions to include in the segment.
*/
sessionSegment?: Schema$SegmentDefinition;
/**
* User Segment to select users to include in the segment.
*/
userSegment?: Schema$SegmentDefinition;
}
/**
* The batch request containing multiple report request.
*/
export interface Schema$GetReportsRequest {
/**
* Requests, each request will have a separate response. There can be a
* maximum of 5 requests. All requests should have the same `dateRanges`,
* `viewId`, `segments`, `samplingLevel`, and `cohortGroup`.
*/
reportRequests?: Schema$ReportRequest[];
/**
* Enables [resource based
* quotas](/analytics/devguides/reporting/core/v4/limits-quotas#analytics_reporting_api_v4),
* (defaults to `False`). If this field is set to `True` the per view
* (profile) quotas are governed by the computational cost of the request.
* Note that using cost based quotas will higher enable sampling rates. (10
* Million for `SMALL`, 100M for `LARGE`. See the [limits and quotas
* documentation](/analytics/devguides/reporting/core/v4/limits-quotas#analytics_reporting_api_v4)
* for details.
*/
useResourceQuotas?: boolean;
}
/**
* The main response class which holds the reports from the Reporting API
* `batchGet` call.
*/
export interface Schema$GetReportsResponse {
/**
* The amount of resource quota tokens deducted to execute the query.
* Includes all responses.
*/
queryCost?: number;
/**
* Responses corresponding to each of the request.
*/
reports?: Schema$Report[];
/**
* The amount of resource quota remaining for the property.
*/
resourceQuotasRemaining?: Schema$ResourceQuotasRemaining;
}
/**
* [Metrics](https://support.google.com/analytics/answer/1033861) are the
* quantitative measurements. For example, the metric `ga:users` indicates the
* total number of users for the requested time period.
*/
export interface Schema$Metric {
/**
* An alias for the metric expression is an alternate name for the
* expression. The alias can be used for filtering and sorting. This field
* is optional and is useful if the expression is not a single metric but a
* complex expression which cannot be used in filtering and sorting. The
* alias is also used in the response column header.
*/
alias?: string;
/**
* A metric expression in the request. An expression is constructed from one
* or more metrics and numbers. Accepted operators include: Plus (+), Minus
* (-), Negation (Unary -), Divided by (/), Multiplied by (*), Parenthesis,
* Positive cardinal numbers (0-9), can include decimals and is limited to
* 1024 characters. Example `ga:totalRefunds/ga:users`, in most cases the
* metric expression is just a single metric name like `ga:users`. Adding
* mixed `MetricType` (E.g., `CURRENCY` + `PERCENTAGE`) metrics will result
* in unexpected results.
*/
expression?: string;
/**
* Specifies how the metric expression should be formatted, for example
* `INTEGER`.
*/
formattingType?: string;
}
/**
* MetricFilter specifies the filter on a metric.
*/
export interface Schema$MetricFilter {
/**
* The value to compare against.
*/
comparisonValue?: string;
/**
* The metric that will be filtered on. A metricFilter must contain a metric
* name. A metric name can be an alias earlier defined as a metric or it can
* also be a metric expression.
*/
metricName?: string;
/**
* Logical `NOT` operator. If this boolean is set to true, then the matching
* metric values will be excluded in the report. The default is false.
*/
not?: boolean;
/**
* Is the metric `EQUAL`, `LESS_THAN` or `GREATER_THAN` the comparisonValue,
* the default is `EQUAL`. If the operator is `IS_MISSING`, checks if the
* metric is missing and would ignore the comparisonValue.
*/
operator?: string;
}
/**
* Represents a group of metric filters. Set the operator value to specify how
* the filters are logically combined.
*/
export interface Schema$MetricFilterClause {
/**
* The repeated set of filters. They are logically combined based on the
* operator specified.
*/
filters?: Schema$MetricFilter[];
/**
* The operator for combining multiple metric filters. If unspecified, it is
* treated as an `OR`.
*/
operator?: string;
}
/**
* The headers for the metrics.
*/
export interface Schema$MetricHeader {
/**
* Headers for the metrics in the response.
*/
metricHeaderEntries?: Schema$MetricHeaderEntry[];
/**
* Headers for the pivots in the response.
*/
pivotHeaders?: Schema$PivotHeader[];
}
/**
* Header for the metrics.
*/
export interface Schema$MetricHeaderEntry {
/**
* The name of the header.
*/
name?: string;
/**
* The type of the metric, for example `INTEGER`.
*/
type?: string;
}
/**
* Specifies the sorting options.
*/
export interface Schema$OrderBy {
/**
* The field which to sort by. The default sort order is ascending. Example:
* `ga:browser`. Note, that you can only specify one field for sort here.
* For example, `ga:browser, ga:city` is not valid.
*/
fieldName?: string;
/**
* The order type. The default orderType is `VALUE`.
*/
orderType?: string;
/**
* The sorting order for the field.
*/
sortOrder?: string;
}
/**
* A list of segment filters in the `OR` group are combined with the logical
* OR operator.
*/
export interface Schema$OrFiltersForSegment {
/**
* List of segment filters to be combined with a `OR` operator.
*/
segmentFilterClauses?: Schema$SegmentFilterClause[];
}
/**
* The Pivot describes the pivot section in the request. The Pivot helps
* rearrange the information in the table for certain reports by pivoting your
* data on a second dimension.
*/
export interface Schema$Pivot {
/**
* DimensionFilterClauses are logically combined with an `AND` operator:
* only data that is included by all these DimensionFilterClauses
* contributes to the values in this pivot region. Dimension filters can be
* used to restrict the columns shown in the pivot region. For example if
* you have `ga:browser` as the requested dimension in the pivot region, and
* you specify key filters to restrict `ga:browser` to only "IE"
* or "Firefox", then only those two browsers would show up as
* columns.
*/
dimensionFilterClauses?: Schema$DimensionFilterClause[];
/**
* A list of dimensions to show as pivot columns. A Pivot can have a maximum
* of 4 dimensions. Pivot dimensions are part of the restriction on the
* total number of dimensions allowed in the request.
*/
dimensions?: Schema$Dimension[];
/**
* Specifies the maximum number of groups to return. The default value is
* 10, also the maximum value is 1,000.
*/
maxGroupCount?: number;
/**
* The pivot metrics. Pivot metrics are part of the restriction on total
* number of metrics allowed in the request.
*/
metrics?: Schema$Metric[];
/**
* If k metrics were requested, then the response will contain some
* data-dependent multiple of k columns in the report. E.g., if you pivoted
* on the dimension `ga:browser` then you'd get k columns for
* "Firefox", k columns for "IE", k columns for
* "Chrome", etc. The ordering of the groups of columns is
* determined by descending order of "total" for the first of the
* k values. Ties are broken by lexicographic ordering of the first pivot
* dimension, then lexicographic ordering of the second pivot dimension, and
* so on. E.g., if the totals for the first value for Firefox, IE, and
* Chrome were 8, 2, 8, respectively, the order of columns would be Chrome,
* Firefox, IE. The following let you choose which of the groups of k
* columns are included in the response.
*/
startGroup?: number;
}
/**
* The headers for each of the pivot sections defined in the request.
*/
export interface Schema$PivotHeader {
/**
* A single pivot section header.
*/
pivotHeaderEntries?: Schema$PivotHeaderEntry[];
/**
* The total number of groups for this pivot.
*/
totalPivotGroupsCount?: number;
}
/**
* The headers for the each of the metric column corresponding to the metrics
* requested in the pivots section of the response.
*/
export interface Schema$PivotHeaderEntry {
/**
* The name of the dimensions in the pivot response.
*/
dimensionNames?: string[];
/**
* The values for the dimensions in the pivot.
*/
dimensionValues?: string[];
/**
* The metric header for the metric in the pivot.
*/
metric?: Schema$MetricHeaderEntry;
}
/**
* The metric values in the pivot region.
*/
export interface Schema$PivotValueRegion {
/**
* The values of the metrics in each of the pivot regions.
*/
values?: string[];
}
/**
* The data response corresponding to the request.
*/
export interface Schema$Report {
/**
* The column headers.
*/
columnHeader?: Schema$ColumnHeader;
/**
* Response data.
*/
data?: Schema$ReportData;
/**
* Page token to retrieve the next page of results in the list.
*/
nextPageToken?: string;
}
/**
* The data part of the report.
*/
export interface Schema$ReportData {
/**
* The last time the data in the report was refreshed. All the hits received
* before this timestamp are included in the calculation of the report.
*/
dataLastRefreshed?: string;
/**
* Indicates if response to this request is golden or not. Data is golden
* when the exact same request will not produce any new results if asked at
* a later point in time.
*/
isDataGolden?: boolean;
/**
* Minimum and maximum values seen over all matching rows. These are both
* empty when `hideValueRanges` in the request is false, or when rowCount is
* zero.
*/
maximums?: Schema$DateRangeValues[];
/**
* Minimum and maximum values seen over all matching rows. These are both
* empty when `hideValueRanges` in the request is false, or when rowCount is
* zero.
*/
minimums?: Schema$DateRangeValues[];
/**
* Total number of matching rows for this query.
*/
rowCount?: number;
/**
* There's one ReportRow for every unique combination of dimensions.
*/
rows?: Schema$ReportRow[];
/**
* If the results are
* [sampled](https://support.google.com/analytics/answer/2637192), this
* returns the total number of samples read, one entry per date range. If
* the results are not sampled this field will not be defined. See
* [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling)
* for details.
*/
samplesReadCounts?: string[];
/**
* If the results are
* [sampled](https://support.google.com/analytics/answer/2637192), this
* returns the total number of samples present, one entry per date range. If
* the results are not sampled this field will not be defined. See
* [developer guide](/analytics/devguides/reporting/core/v4/basics#sampling)
* for details.
*/
samplingSpaceSizes?: string[];
/**
* For each requested date range, for the set of all rows that match the
* query, every requested value format gets a total. The total for a value
* format is computed by first totaling the metrics mentioned in the value
* format and then evaluating the value format as a scalar expression. E.g.,
* The "totals" for `3 / (ga:sessions + 2)` we compute `3 / ((sum
* of all relevant ga:sessions) + 2)`. Totals are computed before
* pagination.
*/
totals?: Schema$DateRangeValues[];
}
/**
* The main request class which specifies the Reporting API request.
*/
export interface Schema$ReportRequest {
/**
* Cohort group associated with this request. If there is a cohort group in
* the request the `ga:cohort` dimension must be present. Every
* [ReportRequest](#ReportRequest) within a `batchGet` method must contain
* the same `cohortGroup` definition.
*/
cohortGroup?: Schema$CohortGroup;
/**
* Date ranges in the request. The request can have a maximum of 2 date
* ranges. The response will contain a set of metric values for each
* combination of the dimensions for each date range in the request. So, if
* there are two date ranges, there will be two set of metric values, one
* for the original date range and one for the second date range. The
* `reportRequest.dateRanges` field should not be specified for cohorts or
* Lifetime value requests. If a date range is not provided, the default
* date range is (startDate: current date - 7 days, endDate: current date -
* 1 day). Every [ReportRequest](#ReportRequest) within a `batchGet` method
* must contain the same `dateRanges` definition.
*/
dateRanges?: Schema$DateRange[];
/**
* The dimension filter clauses for filtering Dimension Values. They are
* logically combined with the `AND` operator. Note that filtering occurs
* before any dimensions are aggregated, so that the returned metrics
* represent the total for only the relevant dimensions.
*/
dimensionFilterClauses?: Schema$DimensionFilterClause[];
/**
* The dimensions requested. Requests can have a total of 7 dimensions.
*/
dimensions?: Schema$Dimension[];
/**
* Dimension or metric filters that restrict the data returned for your
* request. To use the `filtersExpression`, supply a dimension or metric on
* which to filter, followed by the filter expression. For example, the
* following expression selects `ga:browser` dimension which starts with
* Firefox; `ga:browser=~^Firefox`. For more information on dimensions and
* metric filters, see [Filters
* reference](https://developers.google.com/analytics/devguides/reporting/core/v3/reference#filters).
*/
filtersExpression?: string;
/**
* If set to true, hides the total of all metrics for all the matching rows,
* for every date range. The default false and will return the totals.
*/
hideTotals?: boolean;
/**
* If set to true, hides the minimum and maximum across all matching rows.
* The default is false and the value ranges are returned.
*/
hideValueRanges?: boolean;
/**
* If set to false, the response does not include rows if all the retrieved
* metrics are equal to zero. The default is false which will exclude these
* rows.
*/
includeEmptyRows?: boolean;
/**
* The metric filter clauses. They are logically combined with the `AND`
* operator. Metric filters look at only the first date range and not the
* comparing date range. Note that filtering on metrics occurs after the
* metrics are aggregated.
*/
metricFilterClauses?: Schema$MetricFilterClause[];
/**
* The metrics requested. Requests must specify at least one metric.
* Requests can have a total of 10 metrics.
*/
metrics?: Schema$Metric[];
/**
* Sort order on output rows. To compare two rows, the elements of the
* following are applied in order until a difference is found. All date
* ranges in the output get the same row order.
*/
orderBys?: Schema$OrderBy[];
/**
* Page size is for paging and specifies the maximum number of returned
* rows. Page size should be >= 0. A query returns the default of 1,000
* rows. The Analytics Core Reporting API returns a maximum of 10,000 rows
* per request, no matter how many you ask for. It can also return fewer
* rows than requested, if there aren't as many dimension segments as
* you expect. For instance, there are fewer than 300 possible values for
* `ga:country`, so when segmenting only by country, you can't get more
* than 300 rows, even if you set `pageSize` to a higher value.
*/
pageSize?: number;
/**
* A continuation token to get the next page of the results. Adding this to
* the request will return the rows after the pageToken. The pageToken
* should be the value returned in the nextPageToken parameter in the
* response to the GetReports request.
*/
pageToken?: string;
/**
* The pivot definitions. Requests can have a maximum of 2 pivots.
*/
pivots?: Schema$Pivot[];
/**
* The desired report
* [sample](https://support.google.com/analytics/answer/2637192) size. If
* the the `samplingLevel` field is unspecified the `DEFAULT` sampling level
* is used. Every [ReportRequest](#ReportRequest) within a `batchGet` method
* must contain the same `samplingLevel` definition. See [developer
* guide](/analytics/devguides/reporting/core/v4/basics#sampling) for
* details.
*/
samplingLevel?: string;
/**
* Segment the data returned for the request. A segment definition helps
* look at a subset of the segment request. A request can contain up to four
* segments. Every [ReportRequest](#ReportRequest) within a `batchGet`
* method must contain the same `segments` definition. Requests with
* segments must have the `ga:segment` dimension.
*/
segments?: Schema$Segment[];
/**
* The Analytics [view
* ID](https://support.google.com/analytics/answer/1009618) from which to
* retrieve data. Every [ReportRequest](#ReportRequest) within a `batchGet`
* method must contain the same `viewId`.
*/
viewId?: string;
}
/**
* A row in the report.
*/
export interface Schema$ReportRow {
/**
* List of requested dimensions.
*/
dimensions?: string[];
/**
* List of metrics for each requested DateRange.
*/
metrics?: Schema$DateRangeValues[];
}
/**
* The resource quota tokens remaining for the property after the request is
* completed.
*/
export interface Schema$ResourceQuotasRemaining {
/**
* Daily resource quota remaining remaining.
*/
dailyQuotaTokensRemaining?: number;
/**
* Hourly resource quota tokens remaining.
*/
hourlyQuotaTokensRemaining?: number;
}
/**
* The segment definition, if the report needs to be segmented. A Segment is a
* subset of the Analytics data. For example, of the entire set of users, one
* Segment might be users from a particular country or city.
*/
export interface Schema$Segment {
/**
* A dynamic segment definition in the request.
*/
dynamicSegment?: Schema$DynamicSegment;
/**
* The segment ID of a built-in or custom segment, for example `gaid::-3`.
*/
segmentId?: string;
}
/**
* SegmentDefinition defines the segment to be a set of SegmentFilters which
* are combined together with a logical `AND` operation.
*/
export interface Schema$SegmentDefinition {
/**
* A segment is defined by a set of segment filters which are combined
* together with a logical `AND` operation.
*/
segmentFilters?: Schema$SegmentFilter[];
}
/**
* Dimension filter specifies the filtering options on a dimension.
*/
export interface Schema$SegmentDimensionFilter {
/**
* Should the match be case sensitive, ignored for `IN_LIST` operator.
*/
caseSensitive?: boolean;
/**
* Name of the dimension for which the filter is being applied.
*/
dimensionName?: string;
/**
* The list of expressions, only the first element is used for all operators
*/
expressions?: string[];
/**
* Maximum comparison values for `BETWEEN` match type.
*/
maxComparisonValue?: string;
/**
* Minimum comparison values for `BETWEEN` match type.
*/
minComparisonValue?: string;
/**
* The operator to use to match the dimension with the expressions.
*/
operator?: string;
}
/**
* SegmentFilter defines the segment to be either a simple or a sequence
* segment. A simple segment condition contains dimension and metric
* conditions to select the sessions or users. A sequence segment condition
* can be used to select users or sessions based on sequential conditions.
*/
export interface Schema$SegmentFilter {
/**
* If true, match the complement of simple or sequence segment. For example,
* to match all visits not from "New York", we can define the
* segment as follows: "sessionSegment": {
* "segmentFilters": [{ "simpleSegment" :{
* "orFiltersForSegment": [{ "segmentFilterClauses":[{
* "dimensionFilter": { "dimensionName":
* "ga:city", "expressions":
* ["New York"] } }] }]
* }, "not": "True" }] },
*/
not?: boolean;
/**
* Sequence conditions consist of one or more steps, where each step is
* defined by one or more dimension/metric conditions. Multiple steps can be
* combined with special sequence operators.
*/
sequenceSegment?: Schema$SequenceSegment;
/**
* A Simple segment conditions consist of one or more dimension/metric
* conditions that can be combined
*/
simpleSegment?: Schema$SimpleSegment;
}
/**
* Filter Clause to be used in a segment definition, can be wither a metric or
* a dimension filter.
*/
export interface Schema$SegmentFilterClause {
/**
* Dimension Filter for the segment definition.
*/
dimensionFilter?: Schema$SegmentDimensionFilter;
/**
* Metric Filter for the segment definition.
*/
metricFilter?: Schema$SegmentMetricFilter;
/**
* Matches the complement (`!`) of the filter.
*/
not?: boolean;
}
/**
* Metric filter to be used in a segment filter clause.
*/
export interface Schema$SegmentMetricFilter {
/**
* The value to compare against. If the operator is `BETWEEN`, this value is
* treated as minimum comparison value.
*/
comparisonValue?: string;
/**
* Max comparison value is only used for `BETWEEN` operator.
*/
maxComparisonValue?: string;
/**
* The metric that will be filtered on. A `metricFilter` must contain a
* metric name.
*/
metricName?: string;
/**
* Specifies is the operation to perform to compare the metric. The default
* is `EQUAL`.
*/
operator?: string;
/**
* Scope for a metric defines the level at which that metric is defined. The
* specified metric scope must be equal to or greater than its primary scope
* as defined in the data model. The primary scope is defined by if the
* segment is selecting users or sessions.
*/
scope?: string;
}
/**
* A segment sequence definition.
*/
export interface Schema$SegmentSequenceStep {
/**
* Specifies if the step immediately precedes or can be any time before the
* next step.
*/
matchType?: string;
/**
* A sequence is specified with a list of Or grouped filters which are
* combined with `AND` operator.
*/
orFiltersForSegment?: Schema$OrFiltersForSegment[];
}
/**
* Sequence conditions consist of one or more steps, where each step is
* defined by one or more dimension/metric conditions. Multiple steps can be
* combined with special sequence operators.
*/
export interface Schema$SequenceSegment {
/**
* If set, first step condition must match the first hit of the visitor (in
* the date range).
*/
firstStepShouldMatchFirstHit?: boolean;
/**
* The list of steps in the sequence.
*/
segmentSequenceSteps?: Schema$SegmentSequenceStep[];
}
/**
* A Simple segment conditions consist of one or more dimension/metric
* conditions that can be combined.
*/
export interface Schema$SimpleSegment {
/**
* A list of segment filters groups which are combined with logical `AND`
* operator.
*/
orFiltersForSegment?: Schema$OrFiltersForSegment[];
}
export class Resource$Reports {
root: Analyticsreporting;
constructor(root: Analyticsreporting) {
this.root = root;
this.getRoot.bind(this);
}
getRoot() {
return this.root;
}
/**
* analyticsreporting.reports.batchGet
* @desc Returns the Analytics data.
* @alias analyticsreporting.reports.batchGet
* @memberOf! ()
*
* @param {object} params Parameters for request
* @param {().GetReportsRequest} params.resource Request body data
* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
* @param {callback} callback The callback that handles the response.
* @return {object} Request object
*/
batchGet(
params?: Params$Resource$Reports$Batchget,
options?: MethodOptions): AxiosPromise<Schema$GetReportsResponse>;
batchGet(
params: Params$Resource$Reports$Batchget,
options: MethodOptions|BodyResponseCallback<Schema$GetReportsResponse>,
callback: BodyResponseCallback<Schema$GetReportsResponse>): void;
batchGet(
params: Params$Resource$Reports$Batchget,
callback: BodyResponseCallback<Schema$GetReportsResponse>): void;
batchGet(callback: BodyResponseCallback<Schema$GetReportsResponse>): void;
batchGet(
paramsOrCallback?: Params$Resource$Reports$Batchget|
BodyResponseCallback<Schema$GetReportsResponse>,
optionsOrCallback?: MethodOptions|
BodyResponseCallback<Schema$GetReportsResponse>,
callback?: BodyResponseCallback<Schema$GetReportsResponse>):
void|AxiosPromise<Schema$GetReportsResponse> {