/**
 * 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 { GoogleApis } from '../..';
import { BodyResponseCallback, GlobalOptions, MethodOptions } from '../../lib/api';
/**
 * 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 declare class Analyticsreporting {
    _options: GlobalOptions;
    google: GoogleApis;
    root: this;
    reports: Resource$Reports;
    constructor(options: GlobalOptions, google: GoogleApis);
    getRoot(): this;
}
/**
 * Defines a cohort. A cohort is a group of users who share a common
 * characteristic. For example, all users with the same acquisition date belong
 * to the same cohort.
 */
export interface Schema$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$OrFiltersForSegment[];
}
export declare class Resource$Reports {
    root: Analyticsreporting;
    constructor(root: Analyticsreporting);
    getRoot(): Analyticsreporting;
    /**
     * 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?: any, options?: MethodOptions): AxiosPromise<Schema$GetReportsResponse>;
    batchGet(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$GetReportsResponse>, callback?: BodyResponseCallback<Schema$GetReportsResponse>): void;
}