generated/googleapis/lib/analyticsreporting/v4.dart

// This is a generated file (see the discoveryapis_generator project).

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/// Analytics Reporting API - v4
///
/// Accesses Analytics report data.
///
/// For more information, see
/// <https://developers.google.com/analytics/devguides/reporting/core/v4/>
///
/// Create an instance of [AnalyticsReportingApi] to access these resources:
///
/// - [ReportsResource]
/// - [UserActivityResource]
library analyticsreporting.v4;

import 'dart:async' as async;
import 'dart:convert' as convert;
import 'dart:core' as core;

import 'package:_discoveryapis_commons/_discoveryapis_commons.dart' as commons;
import 'package:http/http.dart' as http;

import '../src/user_agent.dart';

export 'package:_discoveryapis_commons/_discoveryapis_commons.dart'
    show ApiRequestError, DetailedApiRequestError;

/// Accesses Analytics report data.
class AnalyticsReportingApi {
  /// View and manage your Google Analytics data
  static const analyticsScope = 'https://www.googleapis.com/auth/analytics';

  /// View your Google Analytics data
  static const analyticsReadonlyScope =
      'https://www.googleapis.com/auth/analytics.readonly';

  final commons.ApiRequester _requester;

  ReportsResource get reports => ReportsResource(_requester);
  UserActivityResource get userActivity => UserActivityResource(_requester);

  AnalyticsReportingApi(http.Client client,
      {core.String rootUrl = 'https://analyticsreporting.googleapis.com/',
      core.String servicePath = ''})
      : _requester =
            commons.ApiRequester(client, rootUrl, servicePath, userAgent);
}

class ReportsResource {
  final commons.ApiRequester _requester;

  ReportsResource(commons.ApiRequester client) : _requester = client;

  /// Returns the Analytics data.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [GetReportsResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<GetReportsResponse> batchGet(
    GetReportsRequest request, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (request != null) {
      _body = convert.json.encode(request.toJson());
    }
    if ($fields != null) {
      _queryParams['fields'] = [$fields];
    }

    _url = 'v4/reports:batchGet';

    final _response = _requester.request(
      _url,
      'POST',
      body: _body,
      queryParams: _queryParams,
      uploadOptions: _uploadOptions,
      uploadMedia: _uploadMedia,
      downloadOptions: _downloadOptions,
    );
    return _response.then(
      (data) => GetReportsResponse.fromJson(
          data as core.Map<core.String, core.dynamic>),
    );
  }
}

class UserActivityResource {
  final commons.ApiRequester _requester;

  UserActivityResource(commons.ApiRequester client) : _requester = client;

  /// Returns User Activity data.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [SearchUserActivityResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<SearchUserActivityResponse> search(
    SearchUserActivityRequest request, {
    core.String $fields,
  }) {
    core.String _url;
    final _queryParams = <core.String, core.List<core.String>>{};
    commons.Media _uploadMedia;
    commons.UploadOptions _uploadOptions;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    core.String _body;

    if (request != null) {
      _body = convert.json.encode(request.toJson());
    }
    if ($fields != null) {
      _queryParams['fields'] = [$fields];
    }

    _url = 'v4/userActivity:search';

    final _response = _requester.request(
      _url,
      'POST',
      body: _body,
      queryParams: _queryParams,
      uploadOptions: _uploadOptions,
      uploadMedia: _uploadMedia,
      downloadOptions: _downloadOptions,
    );
    return _response.then(
      (data) => SearchUserActivityResponse.fromJson(
          data as core.Map<core.String, core.dynamic>),
    );
  }
}

/// An Activity represents data for an activity of a user. Note that an Activity
/// is different from a hit. A hit might result in multiple Activity's. For
/// example, if a hit includes a transaction and a goal completion, there will
/// be two Activity protos for this hit, one for ECOMMERCE and one for GOAL.
/// Conversely, multiple hits can also construct one Activity. In classic
/// e-commerce, data for one transaction might be sent through multiple hits.
/// These hits will be merged into one ECOMMERCE Activity.
class Activity {
  /// Timestamp of the activity. If activities for a visit cross midnight and
  /// occur in two separate dates, then two sessions (one per date) share the
  /// session identifier. For example, say session ID 113472 has activity within
  /// 2019-08-20, and session ID 243742 has activity within 2019-08-25 and
  /// 2019-08-26. Session ID 113472 is one session, and session ID 243742 is two
  /// sessions.
  core.String activityTime;

  /// Type of this activity.
  /// Possible string values are:
  /// - "ACTIVITY_TYPE_UNSPECIFIED" : ActivityType will never have this value in
  /// the response. Using this type in the request will result in an error.
  /// - "PAGEVIEW" : Used when the activity resulted out of a visitor viewing a
  /// page.
  /// - "SCREENVIEW" : Used when the activity resulted out of a visitor using an
  /// application on a mobile device.
  /// - "GOAL" : Used to denote that a goal type activity.
  /// - "ECOMMERCE" : An e-commerce transaction was performed by the visitor on
  /// the page.
  /// - "EVENT" : Used when the activity is an event.
  core.String activityType;

  /// This will be set if `activity_type` equals `SCREEN_VIEW`.
  ScreenviewData appview;

  /// For manual campaign tracking, it is the value of the utm_campaign campaign
  /// tracking parameter. For AdWords autotagging, it is the name(s) of the
  /// online ad campaign(s) you use for the property. If you use neither, its
  /// value is (not set).
  core.String campaign;

  /// The Channel Group associated with an end user's session for this View
  /// (defined by the View's Channel Groupings).
  core.String channelGrouping;

  /// A list of all custom dimensions associated with this activity.
  core.List<CustomDimension> customDimension;

  /// This will be set if `activity_type` equals `ECOMMERCE`.
  EcommerceData ecommerce;

  /// This field contains all the details pertaining to an event and will be set
  /// if `activity_type` equals `EVENT`.
  EventData event;

  /// This field contains a list of all the goals that were reached in this
  /// activity when `activity_type` equals `GOAL`.
  GoalSetData goals;

  /// The hostname from which the tracking request was made.
  core.String hostname;

  /// For manual campaign tracking, it is the value of the utm_term campaign
  /// tracking parameter. For AdWords traffic, it contains the best matching
  /// targeting criteria. For the display network, where multiple targeting
  /// criteria could have caused the ad to show up, it returns the best matching
  /// targeting criteria as selected by Ads. This could be display_keyword, site
  /// placement, boomuserlist, user_interest, age, or gender. Otherwise its
  /// value is (not set).
  core.String keyword;

  /// The first page in users' sessions, or the landing page.
  core.String landingPagePath;

  /// The type of referrals. For manual campaign tracking, it is the value of
  /// the utm_medium campaign tracking parameter. For AdWords autotagging, it is
  /// cpc. If users came from a search engine detected by Google Analytics, it
  /// is organic. If the referrer is not a search engine, it is referral. If
  /// users came directly to the property and document.referrer is empty, its
  /// value is (none).
  core.String medium;

  /// This will be set if `activity_type` equals `PAGEVIEW`. This field contains
  /// all the details about the visitor and the page that was visited.
  PageviewData pageview;

  /// The source of referrals. For manual campaign tracking, it is the value of
  /// the utm_source campaign tracking parameter. For AdWords autotagging, it is
  /// google. If you use neither, it is the domain of the source (e.g.,
  /// document.referrer) referring the users. It may also contain a port
  /// address. If users arrived without a referrer, its value is (direct).
  core.String source;

  Activity();

  Activity.fromJson(core.Map _json) {
    if (_json.containsKey('activityTime')) {
      activityTime = _json['activityTime'] as core.String;
    }
    if (_json.containsKey('activityType')) {
      activityType = _json['activityType'] as core.String;
    }
    if (_json.containsKey('appview')) {
      appview = ScreenviewData.fromJson(
          _json['appview'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('campaign')) {
      campaign = _json['campaign'] as core.String;
    }
    if (_json.containsKey('channelGrouping')) {
      channelGrouping = _json['channelGrouping'] as core.String;
    }
    if (_json.containsKey('customDimension')) {
      customDimension = (_json['customDimension'] as core.List)
          .map<CustomDimension>((value) => CustomDimension.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('ecommerce')) {
      ecommerce = EcommerceData.fromJson(
          _json['ecommerce'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('event')) {
      event = EventData.fromJson(
          _json['event'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('goals')) {
      goals = GoalSetData.fromJson(
          _json['goals'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('hostname')) {
      hostname = _json['hostname'] as core.String;
    }
    if (_json.containsKey('keyword')) {
      keyword = _json['keyword'] as core.String;
    }
    if (_json.containsKey('landingPagePath')) {
      landingPagePath = _json['landingPagePath'] as core.String;
    }
    if (_json.containsKey('medium')) {
      medium = _json['medium'] as core.String;
    }
    if (_json.containsKey('pageview')) {
      pageview = PageviewData.fromJson(
          _json['pageview'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('source')) {
      source = _json['source'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (activityTime != null) {
      _json['activityTime'] = activityTime;
    }
    if (activityType != null) {
      _json['activityType'] = activityType;
    }
    if (appview != null) {
      _json['appview'] = appview.toJson();
    }
    if (campaign != null) {
      _json['campaign'] = campaign;
    }
    if (channelGrouping != null) {
      _json['channelGrouping'] = channelGrouping;
    }
    if (customDimension != null) {
      _json['customDimension'] =
          customDimension.map((value) => value.toJson()).toList();
    }
    if (ecommerce != null) {
      _json['ecommerce'] = ecommerce.toJson();
    }
    if (event != null) {
      _json['event'] = event.toJson();
    }
    if (goals != null) {
      _json['goals'] = goals.toJson();
    }
    if (hostname != null) {
      _json['hostname'] = hostname;
    }
    if (keyword != null) {
      _json['keyword'] = keyword;
    }
    if (landingPagePath != null) {
      _json['landingPagePath'] = landingPagePath;
    }
    if (medium != null) {
      _json['medium'] = medium;
    }
    if (pageview != null) {
      _json['pageview'] = pageview.toJson();
    }
    if (source != null) {
      _json['source'] = source;
    }
    return _json;
  }
}

/// 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.
class 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 dateRange;

  /// A unique name for the cohort. If not defined name will be auto-generated
  /// with values cohort_[1234...].
  core.String name;

  /// 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.
  /// Possible string values are:
  /// - "UNSPECIFIED_COHORT_TYPE" : If unspecified it's treated as
  /// `FIRST_VISIT_DATE`.
  /// - "FIRST_VISIT_DATE" : Cohorts that are selected based on first visit
  /// date.
  core.String type;

  Cohort();

  Cohort.fromJson(core.Map _json) {
    if (_json.containsKey('dateRange')) {
      dateRange = DateRange.fromJson(
          _json['dateRange'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dateRange != null) {
      _json['dateRange'] = dateRange.toJson();
    }
    if (name != null) {
      _json['name'] = name;
    }
    if (type != null) {
      _json['type'] = type;
    }
    return _json;
  }
}

/// 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" } }] }
class CohortGroup {
  /// The definition for the cohort.
  core.List<Cohort> cohorts;

  /// 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)
  core.bool lifetimeValue;

  CohortGroup();

  CohortGroup.fromJson(core.Map _json) {
    if (_json.containsKey('cohorts')) {
      cohorts = (_json['cohorts'] as core.List)
          .map<Cohort>((value) =>
              Cohort.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('lifetimeValue')) {
      lifetimeValue = _json['lifetimeValue'] as core.bool;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (cohorts != null) {
      _json['cohorts'] = cohorts.map((value) => value.toJson()).toList();
    }
    if (lifetimeValue != null) {
      _json['lifetimeValue'] = lifetimeValue;
    }
    return _json;
  }
}

/// Column headers.
class ColumnHeader {
  /// The dimension names in the response.
  core.List<core.String> dimensions;

  /// Metric headers for the metrics in the response.
  MetricHeader metricHeader;

  ColumnHeader();

  ColumnHeader.fromJson(core.Map _json) {
    if (_json.containsKey('dimensions')) {
      dimensions = (_json['dimensions'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('metricHeader')) {
      metricHeader = MetricHeader.fromJson(
          _json['metricHeader'] as core.Map<core.String, core.dynamic>);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dimensions != null) {
      _json['dimensions'] = dimensions;
    }
    if (metricHeader != null) {
      _json['metricHeader'] = metricHeader.toJson();
    }
    return _json;
  }
}

/// Custom dimension.
class CustomDimension {
  /// Slot number of custom dimension.
  core.int index;

  /// Value of the custom dimension. Default value (i.e. empty string) indicates
  /// clearing sesion/visitor scope custom dimension value.
  core.String value;

  CustomDimension();

  CustomDimension.fromJson(core.Map _json) {
    if (_json.containsKey('index')) {
      index = _json['index'] as core.int;
    }
    if (_json.containsKey('value')) {
      value = _json['value'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (index != null) {
      _json['index'] = index;
    }
    if (value != null) {
      _json['value'] = value;
    }
    return _json;
  }
}

/// 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`.
class DateRange {
  /// The end date for the query in the format `YYYY-MM-DD`.
  core.String endDate;

  /// The start date for the query in the format `YYYY-MM-DD`.
  core.String startDate;

  DateRange();

  DateRange.fromJson(core.Map _json) {
    if (_json.containsKey('endDate')) {
      endDate = _json['endDate'] as core.String;
    }
    if (_json.containsKey('startDate')) {
      startDate = _json['startDate'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (endDate != null) {
      _json['endDate'] = endDate;
    }
    if (startDate != null) {
      _json['startDate'] = startDate;
    }
    return _json;
  }
}

/// Used to return a list of metrics for a single DateRange / dimension
/// combination
class DateRangeValues {
  /// The values of each pivot region.
  core.List<PivotValueRegion> pivotValueRegions;

  /// Each value corresponds to each Metric in the request.
  core.List<core.String> values;

  DateRangeValues();

  DateRangeValues.fromJson(core.Map _json) {
    if (_json.containsKey('pivotValueRegions')) {
      pivotValueRegions = (_json['pivotValueRegions'] as core.List)
          .map<PivotValueRegion>((value) => PivotValueRegion.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('values')) {
      values = (_json['values'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pivotValueRegions != null) {
      _json['pivotValueRegions'] =
          pivotValueRegions.map((value) => value.toJson()).toList();
    }
    if (values != null) {
      _json['values'] = values;
    }
    return _json;
  }
}

/// [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.
class 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.
  core.List<core.String> histogramBuckets;

  /// Name of the dimension to fetch, for example `ga:browser`.
  core.String name;

  Dimension();

  Dimension.fromJson(core.Map _json) {
    if (_json.containsKey('histogramBuckets')) {
      histogramBuckets = (_json['histogramBuckets'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (histogramBuckets != null) {
      _json['histogramBuckets'] = histogramBuckets;
    }
    if (name != null) {
      _json['name'] = name;
    }
    return _json;
  }
}

/// Dimension filter specifies the filtering options on a dimension.
class DimensionFilter {
  /// Should the match be case sensitive? Default is false.
  core.bool caseSensitive;

  /// The dimension to filter on. A DimensionFilter must contain a dimension.
  core.String dimensionName;

  /// 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.
  core.List<core.String> expressions;

  /// 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.
  core.bool not;

  /// How to match the dimension to the expression. The default is REGEXP.
  /// Possible string values are:
  /// - "OPERATOR_UNSPECIFIED" : If the match type is unspecified, it is treated
  /// as a `REGEXP`.
  /// - "REGEXP" : The match expression is treated as a regular expression. All
  /// match types are not treated as regular expressions.
  /// - "BEGINS_WITH" : Matches the value which begin with the match expression
  /// provided.
  /// - "ENDS_WITH" : Matches the values which end with the match expression
  /// provided.
  /// - "PARTIAL" : Substring match.
  /// - "EXACT" : The value should match the match expression entirely.
  /// - "NUMERIC_EQUAL" : Integer comparison filters. case sensitivity is
  /// ignored for these and the expression is assumed to be a string
  /// representing an integer. Failure conditions: - If expression is not a
  /// valid int64, the client should expect an error. - Input dimensions that
  /// are not valid int64 values will never match the filter.
  /// - "NUMERIC_GREATER_THAN" : Checks if the dimension is numerically greater
  /// than the match expression. Read the description for `NUMERIC_EQUALS` for
  /// restrictions.
  /// - "NUMERIC_LESS_THAN" : Checks if the dimension is numerically less than
  /// the match expression. Read the description for `NUMERIC_EQUALS` for
  /// restrictions.
  /// - "IN_LIST" : This option is used to specify a dimension filter whose
  /// expression can take any value from a selected list of values. This helps
  /// avoiding evaluating multiple exact match dimension filters which are OR'ed
  /// for every single response row. For example: expressions: ["A", "B", "C"]
  /// Any response row whose dimension has it is value as A, B or C, matches
  /// this DimensionFilter.
  core.String operator;

  DimensionFilter();

  DimensionFilter.fromJson(core.Map _json) {
    if (_json.containsKey('caseSensitive')) {
      caseSensitive = _json['caseSensitive'] as core.bool;
    }
    if (_json.containsKey('dimensionName')) {
      dimensionName = _json['dimensionName'] as core.String;
    }
    if (_json.containsKey('expressions')) {
      expressions = (_json['expressions'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('not')) {
      not = _json['not'] as core.bool;
    }
    if (_json.containsKey('operator')) {
      operator = _json['operator'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (caseSensitive != null) {
      _json['caseSensitive'] = caseSensitive;
    }
    if (dimensionName != null) {
      _json['dimensionName'] = dimensionName;
    }
    if (expressions != null) {
      _json['expressions'] = expressions;
    }
    if (not != null) {
      _json['not'] = not;
    }
    if (operator != null) {
      _json['operator'] = operator;
    }
    return _json;
  }
}

/// A group of dimension filters. Set the operator value to specify how the
/// filters are logically combined.
class DimensionFilterClause {
  /// The repeated set of filters. They are logically combined based on the
  /// operator specified.
  core.List<DimensionFilter> filters;

  /// The operator for combining multiple dimension filters. If unspecified, it
  /// is treated as an `OR`.
  /// Possible string values are:
  /// - "OPERATOR_UNSPECIFIED" : Unspecified operator. It is treated as an `OR`.
  /// - "OR" : The logical `OR` operator.
  /// - "AND" : The logical `AND` operator.
  core.String operator;

  DimensionFilterClause();

  DimensionFilterClause.fromJson(core.Map _json) {
    if (_json.containsKey('filters')) {
      filters = (_json['filters'] as core.List)
          .map<DimensionFilter>((value) => DimensionFilter.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('operator')) {
      operator = _json['operator'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (filters != null) {
      _json['filters'] = filters.map((value) => value.toJson()).toList();
    }
    if (operator != null) {
      _json['operator'] = operator;
    }
    return _json;
  }
}

/// Dynamic segment definition for defining the segment within the request. A
/// segment can select users, sessions or both.
class DynamicSegment {
  /// The name of the dynamic segment.
  core.String name;

  /// Session Segment to select sessions to include in the segment.
  SegmentDefinition sessionSegment;

  /// User Segment to select users to include in the segment.
  SegmentDefinition userSegment;

  DynamicSegment();

  DynamicSegment.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('sessionSegment')) {
      sessionSegment = SegmentDefinition.fromJson(
          _json['sessionSegment'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('userSegment')) {
      userSegment = SegmentDefinition.fromJson(
          _json['userSegment'] as core.Map<core.String, core.dynamic>);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (sessionSegment != null) {
      _json['sessionSegment'] = sessionSegment.toJson();
    }
    if (userSegment != null) {
      _json['userSegment'] = userSegment.toJson();
    }
    return _json;
  }
}

/// E-commerce details associated with the user activity.
class EcommerceData {
  /// Action associated with this e-commerce action.
  /// Possible string values are:
  /// - "UNKNOWN" : Action type is not known.
  /// - "CLICK" : Click through of product lists.
  /// - "DETAILS_VIEW" : Product detail views.
  /// - "ADD_TO_CART" : Add product(s) to cart.
  /// - "REMOVE_FROM_CART" : Remove product(s) from cart.
  /// - "CHECKOUT" : Check out.
  /// - "PAYMENT" : Completed purchase.
  /// - "REFUND" : Refund of purchase.
  /// - "CHECKOUT_OPTION" : Checkout options.
  core.String actionType;

  /// The type of this e-commerce activity.
  /// Possible string values are:
  /// - "ECOMMERCE_TYPE_UNSPECIFIED" : Used when the e-commerce activity type is
  /// unspecified.
  /// - "CLASSIC" : Used when activity has classic (non-enhanced) e-commerce
  /// information.
  /// - "ENHANCED" : Used when activity has enhanced e-commerce information.
  core.String ecommerceType;

  /// Details of the products in this transaction.
  core.List<ProductData> products;

  /// Transaction details of this e-commerce action.
  TransactionData transaction;

  EcommerceData();

  EcommerceData.fromJson(core.Map _json) {
    if (_json.containsKey('actionType')) {
      actionType = _json['actionType'] as core.String;
    }
    if (_json.containsKey('ecommerceType')) {
      ecommerceType = _json['ecommerceType'] as core.String;
    }
    if (_json.containsKey('products')) {
      products = (_json['products'] as core.List)
          .map<ProductData>((value) => ProductData.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('transaction')) {
      transaction = TransactionData.fromJson(
          _json['transaction'] as core.Map<core.String, core.dynamic>);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (actionType != null) {
      _json['actionType'] = actionType;
    }
    if (ecommerceType != null) {
      _json['ecommerceType'] = ecommerceType;
    }
    if (products != null) {
      _json['products'] = products.map((value) => value.toJson()).toList();
    }
    if (transaction != null) {
      _json['transaction'] = transaction.toJson();
    }
    return _json;
  }
}

/// Represents all the details pertaining to an event.
class EventData {
  /// Type of interaction with the object. Eg: 'play'.
  core.String eventAction;

  /// The object on the page that was interacted with. Eg: 'Video'.
  core.String eventCategory;

  /// Number of such events in this activity.
  core.String eventCount;

  /// Label attached with the event.
  core.String eventLabel;

  /// Numeric value associated with the event.
  core.String eventValue;

  EventData();

  EventData.fromJson(core.Map _json) {
    if (_json.containsKey('eventAction')) {
      eventAction = _json['eventAction'] as core.String;
    }
    if (_json.containsKey('eventCategory')) {
      eventCategory = _json['eventCategory'] as core.String;
    }
    if (_json.containsKey('eventCount')) {
      eventCount = _json['eventCount'] as core.String;
    }
    if (_json.containsKey('eventLabel')) {
      eventLabel = _json['eventLabel'] as core.String;
    }
    if (_json.containsKey('eventValue')) {
      eventValue = _json['eventValue'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (eventAction != null) {
      _json['eventAction'] = eventAction;
    }
    if (eventCategory != null) {
      _json['eventCategory'] = eventCategory;
    }
    if (eventCount != null) {
      _json['eventCount'] = eventCount;
    }
    if (eventLabel != null) {
      _json['eventLabel'] = eventLabel;
    }
    if (eventValue != null) {
      _json['eventValue'] = eventValue;
    }
    return _json;
  }
}

/// The batch request containing multiple report request.
class 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`.
  core.List<ReportRequest> reportRequests;

  /// 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.
  core.bool useResourceQuotas;

  GetReportsRequest();

  GetReportsRequest.fromJson(core.Map _json) {
    if (_json.containsKey('reportRequests')) {
      reportRequests = (_json['reportRequests'] as core.List)
          .map<ReportRequest>((value) => ReportRequest.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('useResourceQuotas')) {
      useResourceQuotas = _json['useResourceQuotas'] as core.bool;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (reportRequests != null) {
      _json['reportRequests'] =
          reportRequests.map((value) => value.toJson()).toList();
    }
    if (useResourceQuotas != null) {
      _json['useResourceQuotas'] = useResourceQuotas;
    }
    return _json;
  }
}

/// The main response class which holds the reports from the Reporting API
/// `batchGet` call.
class GetReportsResponse {
  /// The amount of resource quota tokens deducted to execute the query.
  /// Includes all responses.
  core.int queryCost;

  /// Responses corresponding to each of the request.
  core.List<Report> reports;

  /// The amount of resource quota remaining for the property.
  ResourceQuotasRemaining resourceQuotasRemaining;

  GetReportsResponse();

  GetReportsResponse.fromJson(core.Map _json) {
    if (_json.containsKey('queryCost')) {
      queryCost = _json['queryCost'] as core.int;
    }
    if (_json.containsKey('reports')) {
      reports = (_json['reports'] as core.List)
          .map<Report>((value) =>
              Report.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('resourceQuotasRemaining')) {
      resourceQuotasRemaining = ResourceQuotasRemaining.fromJson(
          _json['resourceQuotasRemaining']
              as core.Map<core.String, core.dynamic>);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (queryCost != null) {
      _json['queryCost'] = queryCost;
    }
    if (reports != null) {
      _json['reports'] = reports.map((value) => value.toJson()).toList();
    }
    if (resourceQuotasRemaining != null) {
      _json['resourceQuotasRemaining'] = resourceQuotasRemaining.toJson();
    }
    return _json;
  }
}

/// Represents all the details pertaining to a goal.
class GoalData {
  /// URL of the page where this goal was completed.
  core.String goalCompletionLocation;

  /// Total number of goal completions in this activity.
  core.String goalCompletions;

  /// This identifies the goal as configured for the profile.
  core.int goalIndex;

  /// Name of the goal.
  core.String goalName;

  /// URL of the page one step prior to the goal completion.
  core.String goalPreviousStep1;

  /// URL of the page two steps prior to the goal completion.
  core.String goalPreviousStep2;

  /// URL of the page three steps prior to the goal completion.
  core.String goalPreviousStep3;

  /// Value in this goal.
  core.double goalValue;

  GoalData();

  GoalData.fromJson(core.Map _json) {
    if (_json.containsKey('goalCompletionLocation')) {
      goalCompletionLocation = _json['goalCompletionLocation'] as core.String;
    }
    if (_json.containsKey('goalCompletions')) {
      goalCompletions = _json['goalCompletions'] as core.String;
    }
    if (_json.containsKey('goalIndex')) {
      goalIndex = _json['goalIndex'] as core.int;
    }
    if (_json.containsKey('goalName')) {
      goalName = _json['goalName'] as core.String;
    }
    if (_json.containsKey('goalPreviousStep1')) {
      goalPreviousStep1 = _json['goalPreviousStep1'] as core.String;
    }
    if (_json.containsKey('goalPreviousStep2')) {
      goalPreviousStep2 = _json['goalPreviousStep2'] as core.String;
    }
    if (_json.containsKey('goalPreviousStep3')) {
      goalPreviousStep3 = _json['goalPreviousStep3'] as core.String;
    }
    if (_json.containsKey('goalValue')) {
      goalValue = (_json['goalValue'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (goalCompletionLocation != null) {
      _json['goalCompletionLocation'] = goalCompletionLocation;
    }
    if (goalCompletions != null) {
      _json['goalCompletions'] = goalCompletions;
    }
    if (goalIndex != null) {
      _json['goalIndex'] = goalIndex;
    }
    if (goalName != null) {
      _json['goalName'] = goalName;
    }
    if (goalPreviousStep1 != null) {
      _json['goalPreviousStep1'] = goalPreviousStep1;
    }
    if (goalPreviousStep2 != null) {
      _json['goalPreviousStep2'] = goalPreviousStep2;
    }
    if (goalPreviousStep3 != null) {
      _json['goalPreviousStep3'] = goalPreviousStep3;
    }
    if (goalValue != null) {
      _json['goalValue'] = goalValue;
    }
    return _json;
  }
}

/// Represents a set of goals that were reached in an activity.
class GoalSetData {
  /// All the goals that were reached in the current activity.
  core.List<GoalData> goals;

  GoalSetData();

  GoalSetData.fromJson(core.Map _json) {
    if (_json.containsKey('goals')) {
      goals = (_json['goals'] as core.List)
          .map<GoalData>((value) =>
              GoalData.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (goals != null) {
      _json['goals'] = goals.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// [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.
class 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.
  core.String alias;

  /// 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.
  core.String expression;

  /// Specifies how the metric expression should be formatted, for example
  /// `INTEGER`.
  /// Possible string values are:
  /// - "METRIC_TYPE_UNSPECIFIED" : Metric type is unspecified.
  /// - "INTEGER" : Integer metric.
  /// - "FLOAT" : Float metric.
  /// - "CURRENCY" : Currency metric.
  /// - "PERCENT" : Percentage metric.
  /// - "TIME" : Time metric in `HH:MM:SS` format.
  core.String formattingType;

  Metric();

  Metric.fromJson(core.Map _json) {
    if (_json.containsKey('alias')) {
      alias = _json['alias'] as core.String;
    }
    if (_json.containsKey('expression')) {
      expression = _json['expression'] as core.String;
    }
    if (_json.containsKey('formattingType')) {
      formattingType = _json['formattingType'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (alias != null) {
      _json['alias'] = alias;
    }
    if (expression != null) {
      _json['expression'] = expression;
    }
    if (formattingType != null) {
      _json['formattingType'] = formattingType;
    }
    return _json;
  }
}

/// MetricFilter specifies the filter on a metric.
class MetricFilter {
  /// The value to compare against.
  core.String comparisonValue;

  /// 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.
  core.String metricName;

  /// 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.
  core.bool not;

  /// 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.
  /// Possible string values are:
  /// - "OPERATOR_UNSPECIFIED" : If the operator is not specified, it is treated
  /// as `EQUAL`.
  /// - "EQUAL" : Should the value of the metric be exactly equal to the
  /// comparison value.
  /// - "LESS_THAN" : Should the value of the metric be less than to the
  /// comparison value.
  /// - "GREATER_THAN" : Should the value of the metric be greater than to the
  /// comparison value.
  /// - "IS_MISSING" : Validates if the metric is missing. Doesn't take
  /// comparisonValue into account.
  core.String operator;

  MetricFilter();

  MetricFilter.fromJson(core.Map _json) {
    if (_json.containsKey('comparisonValue')) {
      comparisonValue = _json['comparisonValue'] as core.String;
    }
    if (_json.containsKey('metricName')) {
      metricName = _json['metricName'] as core.String;
    }
    if (_json.containsKey('not')) {
      not = _json['not'] as core.bool;
    }
    if (_json.containsKey('operator')) {
      operator = _json['operator'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (comparisonValue != null) {
      _json['comparisonValue'] = comparisonValue;
    }
    if (metricName != null) {
      _json['metricName'] = metricName;
    }
    if (not != null) {
      _json['not'] = not;
    }
    if (operator != null) {
      _json['operator'] = operator;
    }
    return _json;
  }
}

/// Represents a group of metric filters. Set the operator value to specify how
/// the filters are logically combined.
class MetricFilterClause {
  /// The repeated set of filters. They are logically combined based on the
  /// operator specified.
  core.List<MetricFilter> filters;

  /// The operator for combining multiple metric filters. If unspecified, it is
  /// treated as an `OR`.
  /// Possible string values are:
  /// - "OPERATOR_UNSPECIFIED" : Unspecified operator. It is treated as an `OR`.
  /// - "OR" : The logical `OR` operator.
  /// - "AND" : The logical `AND` operator.
  core.String operator;

  MetricFilterClause();

  MetricFilterClause.fromJson(core.Map _json) {
    if (_json.containsKey('filters')) {
      filters = (_json['filters'] as core.List)
          .map<MetricFilter>((value) => MetricFilter.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('operator')) {
      operator = _json['operator'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (filters != null) {
      _json['filters'] = filters.map((value) => value.toJson()).toList();
    }
    if (operator != null) {
      _json['operator'] = operator;
    }
    return _json;
  }
}

/// The headers for the metrics.
class MetricHeader {
  /// Headers for the metrics in the response.
  core.List<MetricHeaderEntry> metricHeaderEntries;

  /// Headers for the pivots in the response.
  core.List<PivotHeader> pivotHeaders;

  MetricHeader();

  MetricHeader.fromJson(core.Map _json) {
    if (_json.containsKey('metricHeaderEntries')) {
      metricHeaderEntries = (_json['metricHeaderEntries'] as core.List)
          .map<MetricHeaderEntry>((value) => MetricHeaderEntry.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('pivotHeaders')) {
      pivotHeaders = (_json['pivotHeaders'] as core.List)
          .map<PivotHeader>((value) => PivotHeader.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (metricHeaderEntries != null) {
      _json['metricHeaderEntries'] =
          metricHeaderEntries.map((value) => value.toJson()).toList();
    }
    if (pivotHeaders != null) {
      _json['pivotHeaders'] =
          pivotHeaders.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Header for the metrics.
class MetricHeaderEntry {
  /// The name of the header.
  core.String name;

  /// The type of the metric, for example `INTEGER`.
  /// Possible string values are:
  /// - "METRIC_TYPE_UNSPECIFIED" : Metric type is unspecified.
  /// - "INTEGER" : Integer metric.
  /// - "FLOAT" : Float metric.
  /// - "CURRENCY" : Currency metric.
  /// - "PERCENT" : Percentage metric.
  /// - "TIME" : Time metric in `HH:MM:SS` format.
  core.String type;

  MetricHeaderEntry();

  MetricHeaderEntry.fromJson(core.Map _json) {
    if (_json.containsKey('name')) {
      name = _json['name'] as core.String;
    }
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (name != null) {
      _json['name'] = name;
    }
    if (type != null) {
      _json['type'] = type;
    }
    return _json;
  }
}

/// A list of segment filters in the `OR` group are combined with the logical OR
/// operator.
class OrFiltersForSegment {
  /// List of segment filters to be combined with a `OR` operator.
  core.List<SegmentFilterClause> segmentFilterClauses;

  OrFiltersForSegment();

  OrFiltersForSegment.fromJson(core.Map _json) {
    if (_json.containsKey('segmentFilterClauses')) {
      segmentFilterClauses = (_json['segmentFilterClauses'] as core.List)
          .map<SegmentFilterClause>((value) => SegmentFilterClause.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (segmentFilterClauses != null) {
      _json['segmentFilterClauses'] =
          segmentFilterClauses.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Specifies the sorting options.
class 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.
  core.String fieldName;

  /// The order type. The default orderType is `VALUE`.
  /// Possible string values are:
  /// - "ORDER_TYPE_UNSPECIFIED" : Unspecified order type will be treated as
  /// sort based on value.
  /// - "VALUE" : The sort order is based on the value of the chosen column;
  /// looks only at the first date range.
  /// - "DELTA" : The sort order is based on the difference of the values of the
  /// chosen column between the first two date ranges. Usable only if there are
  /// exactly two date ranges.
  /// - "SMART" : The sort order is based on weighted value of the chosen
  /// column. If column has n/d format, then weighted value of this ratio will
  /// be `(n + totals.n)/(d + totals.d)` Usable only for metrics that represent
  /// ratios.
  /// - "HISTOGRAM_BUCKET" : Histogram order type is applicable only to
  /// dimension columns with non-empty histogram-buckets.
  /// - "DIMENSION_AS_INTEGER" : If the dimensions are fixed length numbers,
  /// ordinary sort would just work fine. `DIMENSION_AS_INTEGER` can be used if
  /// the dimensions are variable length numbers.
  core.String orderType;

  /// The sorting order for the field.
  /// Possible string values are:
  /// - "SORT_ORDER_UNSPECIFIED" : If the sort order is unspecified, the default
  /// is ascending.
  /// - "ASCENDING" : Ascending sort. The field will be sorted in an ascending
  /// manner.
  /// - "DESCENDING" : Descending sort. The field will be sorted in a descending
  /// manner.
  core.String sortOrder;

  OrderBy();

  OrderBy.fromJson(core.Map _json) {
    if (_json.containsKey('fieldName')) {
      fieldName = _json['fieldName'] as core.String;
    }
    if (_json.containsKey('orderType')) {
      orderType = _json['orderType'] as core.String;
    }
    if (_json.containsKey('sortOrder')) {
      sortOrder = _json['sortOrder'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (fieldName != null) {
      _json['fieldName'] = fieldName;
    }
    if (orderType != null) {
      _json['orderType'] = orderType;
    }
    if (sortOrder != null) {
      _json['sortOrder'] = sortOrder;
    }
    return _json;
  }
}

/// Represents details collected when the visitor views a page.
class PageviewData {
  /// The URL of the page that the visitor viewed.
  core.String pagePath;

  /// The title of the page that the visitor viewed.
  core.String pageTitle;

  PageviewData();

  PageviewData.fromJson(core.Map _json) {
    if (_json.containsKey('pagePath')) {
      pagePath = _json['pagePath'] as core.String;
    }
    if (_json.containsKey('pageTitle')) {
      pageTitle = _json['pageTitle'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pagePath != null) {
      _json['pagePath'] = pagePath;
    }
    if (pageTitle != null) {
      _json['pageTitle'] = pageTitle;
    }
    return _json;
  }
}

/// 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.
class 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.
  core.List<DimensionFilterClause> dimensionFilterClauses;

  /// 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.
  core.List<Dimension> dimensions;

  /// Specifies the maximum number of groups to return. The default value is 10,
  /// also the maximum value is 1,000.
  core.int maxGroupCount;

  /// The pivot metrics. Pivot metrics are part of the restriction on total
  /// number of metrics allowed in the request.
  core.List<Metric> metrics;

  /// 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.
  core.int startGroup;

  Pivot();

  Pivot.fromJson(core.Map _json) {
    if (_json.containsKey('dimensionFilterClauses')) {
      dimensionFilterClauses = (_json['dimensionFilterClauses'] as core.List)
          .map<DimensionFilterClause>((value) => DimensionFilterClause.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('dimensions')) {
      dimensions = (_json['dimensions'] as core.List)
          .map<Dimension>((value) =>
              Dimension.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('maxGroupCount')) {
      maxGroupCount = _json['maxGroupCount'] as core.int;
    }
    if (_json.containsKey('metrics')) {
      metrics = (_json['metrics'] as core.List)
          .map<Metric>((value) =>
              Metric.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('startGroup')) {
      startGroup = _json['startGroup'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dimensionFilterClauses != null) {
      _json['dimensionFilterClauses'] =
          dimensionFilterClauses.map((value) => value.toJson()).toList();
    }
    if (dimensions != null) {
      _json['dimensions'] = dimensions.map((value) => value.toJson()).toList();
    }
    if (maxGroupCount != null) {
      _json['maxGroupCount'] = maxGroupCount;
    }
    if (metrics != null) {
      _json['metrics'] = metrics.map((value) => value.toJson()).toList();
    }
    if (startGroup != null) {
      _json['startGroup'] = startGroup;
    }
    return _json;
  }
}

/// The headers for each of the pivot sections defined in the request.
class PivotHeader {
  /// A single pivot section header.
  core.List<PivotHeaderEntry> pivotHeaderEntries;

  /// The total number of groups for this pivot.
  core.int totalPivotGroupsCount;

  PivotHeader();

  PivotHeader.fromJson(core.Map _json) {
    if (_json.containsKey('pivotHeaderEntries')) {
      pivotHeaderEntries = (_json['pivotHeaderEntries'] as core.List)
          .map<PivotHeaderEntry>((value) => PivotHeaderEntry.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('totalPivotGroupsCount')) {
      totalPivotGroupsCount = _json['totalPivotGroupsCount'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (pivotHeaderEntries != null) {
      _json['pivotHeaderEntries'] =
          pivotHeaderEntries.map((value) => value.toJson()).toList();
    }
    if (totalPivotGroupsCount != null) {
      _json['totalPivotGroupsCount'] = totalPivotGroupsCount;
    }
    return _json;
  }
}

/// The headers for the each of the metric column corresponding to the metrics
/// requested in the pivots section of the response.
class PivotHeaderEntry {
  /// The name of the dimensions in the pivot response.
  core.List<core.String> dimensionNames;

  /// The values for the dimensions in the pivot.
  core.List<core.String> dimensionValues;

  /// The metric header for the metric in the pivot.
  MetricHeaderEntry metric;

  PivotHeaderEntry();

  PivotHeaderEntry.fromJson(core.Map _json) {
    if (_json.containsKey('dimensionNames')) {
      dimensionNames = (_json['dimensionNames'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('dimensionValues')) {
      dimensionValues = (_json['dimensionValues'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('metric')) {
      metric = MetricHeaderEntry.fromJson(
          _json['metric'] as core.Map<core.String, core.dynamic>);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dimensionNames != null) {
      _json['dimensionNames'] = dimensionNames;
    }
    if (dimensionValues != null) {
      _json['dimensionValues'] = dimensionValues;
    }
    if (metric != null) {
      _json['metric'] = metric.toJson();
    }
    return _json;
  }
}

/// The metric values in the pivot region.
class PivotValueRegion {
  /// The values of the metrics in each of the pivot regions.
  core.List<core.String> values;

  PivotValueRegion();

  PivotValueRegion.fromJson(core.Map _json) {
    if (_json.containsKey('values')) {
      values = (_json['values'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (values != null) {
      _json['values'] = values;
    }
    return _json;
  }
}

/// Details of the products in an e-commerce transaction.
class ProductData {
  /// The total revenue from purchased product items.
  core.double itemRevenue;

  /// The product name, supplied by the e-commerce tracking application, for the
  /// purchased items.
  core.String productName;

  /// Total number of this product units in the transaction.
  core.String productQuantity;

  /// Unique code that represents the product.
  core.String productSku;

  ProductData();

  ProductData.fromJson(core.Map _json) {
    if (_json.containsKey('itemRevenue')) {
      itemRevenue = (_json['itemRevenue'] as core.num).toDouble();
    }
    if (_json.containsKey('productName')) {
      productName = _json['productName'] as core.String;
    }
    if (_json.containsKey('productQuantity')) {
      productQuantity = _json['productQuantity'] as core.String;
    }
    if (_json.containsKey('productSku')) {
      productSku = _json['productSku'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (itemRevenue != null) {
      _json['itemRevenue'] = itemRevenue;
    }
    if (productName != null) {
      _json['productName'] = productName;
    }
    if (productQuantity != null) {
      _json['productQuantity'] = productQuantity;
    }
    if (productSku != null) {
      _json['productSku'] = productSku;
    }
    return _json;
  }
}

/// The data response corresponding to the request.
class Report {
  /// The column headers.
  ColumnHeader columnHeader;

  /// Response data.
  ReportData data;

  /// Page token to retrieve the next page of results in the list.
  core.String nextPageToken;

  Report();

  Report.fromJson(core.Map _json) {
    if (_json.containsKey('columnHeader')) {
      columnHeader = ColumnHeader.fromJson(
          _json['columnHeader'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('data')) {
      data = ReportData.fromJson(
          _json['data'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (columnHeader != null) {
      _json['columnHeader'] = columnHeader.toJson();
    }
    if (data != null) {
      _json['data'] = data.toJson();
    }
    if (nextPageToken != null) {
      _json['nextPageToken'] = nextPageToken;
    }
    return _json;
  }
}

/// The data part of the report.
class 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.
  core.String dataLastRefreshed;

  /// 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.
  core.bool isDataGolden;

  /// 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.
  core.List<DateRangeValues> maximums;

  /// 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.
  core.List<DateRangeValues> minimums;

  /// Total number of matching rows for this query.
  core.int rowCount;

  /// There's one ReportRow for every unique combination of dimensions.
  core.List<ReportRow> rows;

  /// 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.
  core.List<core.String> samplesReadCounts;

  /// 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.
  core.List<core.String> samplingSpaceSizes;

  /// 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.
  core.List<DateRangeValues> totals;

  ReportData();

  ReportData.fromJson(core.Map _json) {
    if (_json.containsKey('dataLastRefreshed')) {
      dataLastRefreshed = _json['dataLastRefreshed'] as core.String;
    }
    if (_json.containsKey('isDataGolden')) {
      isDataGolden = _json['isDataGolden'] as core.bool;
    }
    if (_json.containsKey('maximums')) {
      maximums = (_json['maximums'] as core.List)
          .map<DateRangeValues>((value) => DateRangeValues.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('minimums')) {
      minimums = (_json['minimums'] as core.List)
          .map<DateRangeValues>((value) => DateRangeValues.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('rowCount')) {
      rowCount = _json['rowCount'] as core.int;
    }
    if (_json.containsKey('rows')) {
      rows = (_json['rows'] as core.List)
          .map<ReportRow>((value) =>
              ReportRow.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('samplesReadCounts')) {
      samplesReadCounts = (_json['samplesReadCounts'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('samplingSpaceSizes')) {
      samplingSpaceSizes = (_json['samplingSpaceSizes'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('totals')) {
      totals = (_json['totals'] as core.List)
          .map<DateRangeValues>((value) => DateRangeValues.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dataLastRefreshed != null) {
      _json['dataLastRefreshed'] = dataLastRefreshed;
    }
    if (isDataGolden != null) {
      _json['isDataGolden'] = isDataGolden;
    }
    if (maximums != null) {
      _json['maximums'] = maximums.map((value) => value.toJson()).toList();
    }
    if (minimums != null) {
      _json['minimums'] = minimums.map((value) => value.toJson()).toList();
    }
    if (rowCount != null) {
      _json['rowCount'] = rowCount;
    }
    if (rows != null) {
      _json['rows'] = rows.map((value) => value.toJson()).toList();
    }
    if (samplesReadCounts != null) {
      _json['samplesReadCounts'] = samplesReadCounts;
    }
    if (samplingSpaceSizes != null) {
      _json['samplingSpaceSizes'] = samplingSpaceSizes;
    }
    if (totals != null) {
      _json['totals'] = totals.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// The main request class which specifies the Reporting API request.
class 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 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.
  core.List<DateRange> dateRanges;

  /// 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.
  core.List<DimensionFilterClause> dimensionFilterClauses;

  /// The dimensions requested. Requests can have a total of 9 dimensions.
  core.List<Dimension> dimensions;

  /// 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).
  core.String filtersExpression;

  /// 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.
  core.bool hideTotals;

  /// If set to true, hides the minimum and maximum across all matching rows.
  /// The default is false and the value ranges are returned.
  core.bool hideValueRanges;

  /// 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.
  core.bool includeEmptyRows;

  /// 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.
  core.List<MetricFilterClause> metricFilterClauses;

  /// The metrics requested. Requests must specify at least one metric. Requests
  /// can have a total of 10 metrics.
  core.List<Metric> metrics;

  /// 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.
  core.List<OrderBy> orderBys;

  /// 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 100,000 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.
  core.int pageSize;

  /// 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.
  core.String pageToken;

  /// The pivot definitions. Requests can have a maximum of 2 pivots.
  core.List<Pivot> pivots;

  /// 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.
  /// Possible string values are:
  /// - "SAMPLING_UNSPECIFIED" : If the `samplingLevel` field is unspecified the
  /// `DEFAULT` sampling level is used.
  /// - "DEFAULT" : Returns response with a sample size that balances speed and
  /// accuracy.
  /// - "SMALL" : It returns a fast response with a smaller sampling size.
  /// - "LARGE" : Returns a more accurate response using a large sampling size.
  /// But this may result in response being slower.
  core.String samplingLevel;

  /// 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.
  core.List<Segment> segments;

  /// 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`.
  core.String viewId;

  ReportRequest();

  ReportRequest.fromJson(core.Map _json) {
    if (_json.containsKey('cohortGroup')) {
      cohortGroup = CohortGroup.fromJson(
          _json['cohortGroup'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('dateRanges')) {
      dateRanges = (_json['dateRanges'] as core.List)
          .map<DateRange>((value) =>
              DateRange.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('dimensionFilterClauses')) {
      dimensionFilterClauses = (_json['dimensionFilterClauses'] as core.List)
          .map<DimensionFilterClause>((value) => DimensionFilterClause.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('dimensions')) {
      dimensions = (_json['dimensions'] as core.List)
          .map<Dimension>((value) =>
              Dimension.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('filtersExpression')) {
      filtersExpression = _json['filtersExpression'] as core.String;
    }
    if (_json.containsKey('hideTotals')) {
      hideTotals = _json['hideTotals'] as core.bool;
    }
    if (_json.containsKey('hideValueRanges')) {
      hideValueRanges = _json['hideValueRanges'] as core.bool;
    }
    if (_json.containsKey('includeEmptyRows')) {
      includeEmptyRows = _json['includeEmptyRows'] as core.bool;
    }
    if (_json.containsKey('metricFilterClauses')) {
      metricFilterClauses = (_json['metricFilterClauses'] as core.List)
          .map<MetricFilterClause>((value) => MetricFilterClause.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('metrics')) {
      metrics = (_json['metrics'] as core.List)
          .map<Metric>((value) =>
              Metric.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('orderBys')) {
      orderBys = (_json['orderBys'] as core.List)
          .map<OrderBy>((value) =>
              OrderBy.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('pageSize')) {
      pageSize = _json['pageSize'] as core.int;
    }
    if (_json.containsKey('pageToken')) {
      pageToken = _json['pageToken'] as core.String;
    }
    if (_json.containsKey('pivots')) {
      pivots = (_json['pivots'] as core.List)
          .map<Pivot>((value) =>
              Pivot.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('samplingLevel')) {
      samplingLevel = _json['samplingLevel'] as core.String;
    }
    if (_json.containsKey('segments')) {
      segments = (_json['segments'] as core.List)
          .map<Segment>((value) =>
              Segment.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('viewId')) {
      viewId = _json['viewId'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (cohortGroup != null) {
      _json['cohortGroup'] = cohortGroup.toJson();
    }
    if (dateRanges != null) {
      _json['dateRanges'] = dateRanges.map((value) => value.toJson()).toList();
    }
    if (dimensionFilterClauses != null) {
      _json['dimensionFilterClauses'] =
          dimensionFilterClauses.map((value) => value.toJson()).toList();
    }
    if (dimensions != null) {
      _json['dimensions'] = dimensions.map((value) => value.toJson()).toList();
    }
    if (filtersExpression != null) {
      _json['filtersExpression'] = filtersExpression;
    }
    if (hideTotals != null) {
      _json['hideTotals'] = hideTotals;
    }
    if (hideValueRanges != null) {
      _json['hideValueRanges'] = hideValueRanges;
    }
    if (includeEmptyRows != null) {
      _json['includeEmptyRows'] = includeEmptyRows;
    }
    if (metricFilterClauses != null) {
      _json['metricFilterClauses'] =
          metricFilterClauses.map((value) => value.toJson()).toList();
    }
    if (metrics != null) {
      _json['metrics'] = metrics.map((value) => value.toJson()).toList();
    }
    if (orderBys != null) {
      _json['orderBys'] = orderBys.map((value) => value.toJson()).toList();
    }
    if (pageSize != null) {
      _json['pageSize'] = pageSize;
    }
    if (pageToken != null) {
      _json['pageToken'] = pageToken;
    }
    if (pivots != null) {
      _json['pivots'] = pivots.map((value) => value.toJson()).toList();
    }
    if (samplingLevel != null) {
      _json['samplingLevel'] = samplingLevel;
    }
    if (segments != null) {
      _json['segments'] = segments.map((value) => value.toJson()).toList();
    }
    if (viewId != null) {
      _json['viewId'] = viewId;
    }
    return _json;
  }
}

/// A row in the report.
class ReportRow {
  /// List of requested dimensions.
  core.List<core.String> dimensions;

  /// List of metrics for each requested DateRange.
  core.List<DateRangeValues> metrics;

  ReportRow();

  ReportRow.fromJson(core.Map _json) {
    if (_json.containsKey('dimensions')) {
      dimensions = (_json['dimensions'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('metrics')) {
      metrics = (_json['metrics'] as core.List)
          .map<DateRangeValues>((value) => DateRangeValues.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dimensions != null) {
      _json['dimensions'] = dimensions;
    }
    if (metrics != null) {
      _json['metrics'] = metrics.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// The resource quota tokens remaining for the property after the request is
/// completed.
class ResourceQuotasRemaining {
  /// Daily resource quota remaining remaining.
  core.int dailyQuotaTokensRemaining;

  /// Hourly resource quota tokens remaining.
  core.int hourlyQuotaTokensRemaining;

  ResourceQuotasRemaining();

  ResourceQuotasRemaining.fromJson(core.Map _json) {
    if (_json.containsKey('dailyQuotaTokensRemaining')) {
      dailyQuotaTokensRemaining =
          _json['dailyQuotaTokensRemaining'] as core.int;
    }
    if (_json.containsKey('hourlyQuotaTokensRemaining')) {
      hourlyQuotaTokensRemaining =
          _json['hourlyQuotaTokensRemaining'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dailyQuotaTokensRemaining != null) {
      _json['dailyQuotaTokensRemaining'] = dailyQuotaTokensRemaining;
    }
    if (hourlyQuotaTokensRemaining != null) {
      _json['hourlyQuotaTokensRemaining'] = hourlyQuotaTokensRemaining;
    }
    return _json;
  }
}

class ScreenviewData {
  /// The application name.
  core.String appName;

  /// Mobile manufacturer or branded name. Eg: "Google", "Apple" etc.
  core.String mobileDeviceBranding;

  /// Mobile device model. Eg: "Pixel", "iPhone" etc.
  core.String mobileDeviceModel;

  /// The name of the screen.
  core.String screenName;

  ScreenviewData();

  ScreenviewData.fromJson(core.Map _json) {
    if (_json.containsKey('appName')) {
      appName = _json['appName'] as core.String;
    }
    if (_json.containsKey('mobileDeviceBranding')) {
      mobileDeviceBranding = _json['mobileDeviceBranding'] as core.String;
    }
    if (_json.containsKey('mobileDeviceModel')) {
      mobileDeviceModel = _json['mobileDeviceModel'] as core.String;
    }
    if (_json.containsKey('screenName')) {
      screenName = _json['screenName'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (appName != null) {
      _json['appName'] = appName;
    }
    if (mobileDeviceBranding != null) {
      _json['mobileDeviceBranding'] = mobileDeviceBranding;
    }
    if (mobileDeviceModel != null) {
      _json['mobileDeviceModel'] = mobileDeviceModel;
    }
    if (screenName != null) {
      _json['screenName'] = screenName;
    }
    return _json;
  }
}

/// The request to fetch User Report from Reporting API `userActivity:get` call.
class SearchUserActivityRequest {
  /// Set of all activity types being requested. Only acvities matching these
  /// types will be returned in the response. If empty, all activies will be
  /// returned.
  core.List<core.String> activityTypes;

  /// Date range for which to retrieve the user activity. If a date range is not
  /// provided, the default date range is (startDate: current date - 7 days,
  /// endDate: current date - 1 day).
  DateRange dateRange;

  /// Page size is for paging and specifies the maximum number of returned rows.
  /// Page size should be > 0. If the value is 0 or if the field isn't
  /// specified, the request returns the default of 1000 rows per page.
  core.int pageSize;

  /// 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 [SearchUserActivityRequest](#SearchUserActivityRequest) request.
  core.String pageToken;

  /// Required. Unique user Id to query for. Every
  /// [SearchUserActivityRequest](#SearchUserActivityRequest) must contain this
  /// field.
  User user;

  /// Required. The Analytics [view
  /// ID](https://support.google.com/analytics/answer/1009618) from which to
  /// retrieve data. Every
  /// [SearchUserActivityRequest](#SearchUserActivityRequest) must contain the
  /// `viewId`.
  core.String viewId;

  SearchUserActivityRequest();

  SearchUserActivityRequest.fromJson(core.Map _json) {
    if (_json.containsKey('activityTypes')) {
      activityTypes = (_json['activityTypes'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('dateRange')) {
      dateRange = DateRange.fromJson(
          _json['dateRange'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('pageSize')) {
      pageSize = _json['pageSize'] as core.int;
    }
    if (_json.containsKey('pageToken')) {
      pageToken = _json['pageToken'] as core.String;
    }
    if (_json.containsKey('user')) {
      user =
          User.fromJson(_json['user'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('viewId')) {
      viewId = _json['viewId'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (activityTypes != null) {
      _json['activityTypes'] = activityTypes;
    }
    if (dateRange != null) {
      _json['dateRange'] = dateRange.toJson();
    }
    if (pageSize != null) {
      _json['pageSize'] = pageSize;
    }
    if (pageToken != null) {
      _json['pageToken'] = pageToken;
    }
    if (user != null) {
      _json['user'] = user.toJson();
    }
    if (viewId != null) {
      _json['viewId'] = viewId;
    }
    return _json;
  }
}

/// The response from `userActivity:get` call.
class SearchUserActivityResponse {
  /// This token should be passed to
  /// [SearchUserActivityRequest](#SearchUserActivityRequest) to retrieve the
  /// next page.
  core.String nextPageToken;

  /// This field represents the [sampling
  /// rate](https://support.google.com/analytics/answer/2637192) for the given
  /// request and is a number between 0.0 to 1.0. See [developer
  /// guide](/analytics/devguides/reporting/core/v4/basics#sampling) for
  /// details.
  core.double sampleRate;

  /// Each record represents a session (device details, duration, etc).
  core.List<UserActivitySession> sessions;

  /// Total rows returned by this query (across different pages).
  core.int totalRows;

  SearchUserActivityResponse();

  SearchUserActivityResponse.fromJson(core.Map _json) {
    if (_json.containsKey('nextPageToken')) {
      nextPageToken = _json['nextPageToken'] as core.String;
    }
    if (_json.containsKey('sampleRate')) {
      sampleRate = (_json['sampleRate'] as core.num).toDouble();
    }
    if (_json.containsKey('sessions')) {
      sessions = (_json['sessions'] as core.List)
          .map<UserActivitySession>((value) => UserActivitySession.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('totalRows')) {
      totalRows = _json['totalRows'] as core.int;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (nextPageToken != null) {
      _json['nextPageToken'] = nextPageToken;
    }
    if (sampleRate != null) {
      _json['sampleRate'] = sampleRate;
    }
    if (sessions != null) {
      _json['sessions'] = sessions.map((value) => value.toJson()).toList();
    }
    if (totalRows != null) {
      _json['totalRows'] = totalRows;
    }
    return _json;
  }
}

/// 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.
class Segment {
  /// A dynamic segment definition in the request.
  DynamicSegment dynamicSegment;

  /// The segment ID of a built-in or custom segment, for example `gaid::-3`.
  core.String segmentId;

  Segment();

  Segment.fromJson(core.Map _json) {
    if (_json.containsKey('dynamicSegment')) {
      dynamicSegment = DynamicSegment.fromJson(
          _json['dynamicSegment'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('segmentId')) {
      segmentId = _json['segmentId'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dynamicSegment != null) {
      _json['dynamicSegment'] = dynamicSegment.toJson();
    }
    if (segmentId != null) {
      _json['segmentId'] = segmentId;
    }
    return _json;
  }
}

/// SegmentDefinition defines the segment to be a set of SegmentFilters which
/// are combined together with a logical `AND` operation.
class SegmentDefinition {
  /// A segment is defined by a set of segment filters which are combined
  /// together with a logical `AND` operation.
  core.List<SegmentFilter> segmentFilters;

  SegmentDefinition();

  SegmentDefinition.fromJson(core.Map _json) {
    if (_json.containsKey('segmentFilters')) {
      segmentFilters = (_json['segmentFilters'] as core.List)
          .map<SegmentFilter>((value) => SegmentFilter.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (segmentFilters != null) {
      _json['segmentFilters'] =
          segmentFilters.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Dimension filter specifies the filtering options on a dimension.
class SegmentDimensionFilter {
  /// Should the match be case sensitive, ignored for `IN_LIST` operator.
  core.bool caseSensitive;

  /// Name of the dimension for which the filter is being applied.
  core.String dimensionName;

  /// The list of expressions, only the first element is used for all operators
  core.List<core.String> expressions;

  /// Maximum comparison values for `BETWEEN` match type.
  core.String maxComparisonValue;

  /// Minimum comparison values for `BETWEEN` match type.
  core.String minComparisonValue;

  /// The operator to use to match the dimension with the expressions.
  /// Possible string values are:
  /// - "OPERATOR_UNSPECIFIED" : If the match type is unspecified, it is treated
  /// as a REGEXP.
  /// - "REGEXP" : The match expression is treated as a regular expression. All
  /// other match types are not treated as regular expressions.
  /// - "BEGINS_WITH" : Matches the values which begin with the match expression
  /// provided.
  /// - "ENDS_WITH" : Matches the values which end with the match expression
  /// provided.
  /// - "PARTIAL" : Substring match.
  /// - "EXACT" : The value should match the match expression entirely.
  /// - "IN_LIST" : This option is used to specify a dimension filter whose
  /// expression can take any value from a selected list of values. This helps
  /// avoiding evaluating multiple exact match dimension filters which are OR'ed
  /// for every single response row. For example: expressions: ["A", "B", "C"]
  /// Any response row whose dimension has it is value as A, B or C, matches
  /// this DimensionFilter.
  /// - "NUMERIC_LESS_THAN" : Integer comparison filters. case sensitivity is
  /// ignored for these and the expression is assumed to be a string
  /// representing an integer. Failure conditions: - if expression is not a
  /// valid int64, the client should expect an error. - input dimensions that
  /// are not valid int64 values will never match the filter. Checks if the
  /// dimension is numerically less than the match expression.
  /// - "NUMERIC_GREATER_THAN" : Checks if the dimension is numerically greater
  /// than the match expression.
  /// - "NUMERIC_BETWEEN" : Checks if the dimension is numerically between the
  /// minimum and maximum of the match expression, boundaries excluded.
  core.String operator;

  SegmentDimensionFilter();

  SegmentDimensionFilter.fromJson(core.Map _json) {
    if (_json.containsKey('caseSensitive')) {
      caseSensitive = _json['caseSensitive'] as core.bool;
    }
    if (_json.containsKey('dimensionName')) {
      dimensionName = _json['dimensionName'] as core.String;
    }
    if (_json.containsKey('expressions')) {
      expressions = (_json['expressions'] as core.List)
          .map<core.String>((value) => value as core.String)
          .toList();
    }
    if (_json.containsKey('maxComparisonValue')) {
      maxComparisonValue = _json['maxComparisonValue'] as core.String;
    }
    if (_json.containsKey('minComparisonValue')) {
      minComparisonValue = _json['minComparisonValue'] as core.String;
    }
    if (_json.containsKey('operator')) {
      operator = _json['operator'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (caseSensitive != null) {
      _json['caseSensitive'] = caseSensitive;
    }
    if (dimensionName != null) {
      _json['dimensionName'] = dimensionName;
    }
    if (expressions != null) {
      _json['expressions'] = expressions;
    }
    if (maxComparisonValue != null) {
      _json['maxComparisonValue'] = maxComparisonValue;
    }
    if (minComparisonValue != null) {
      _json['minComparisonValue'] = minComparisonValue;
    }
    if (operator != null) {
      _json['operator'] = operator;
    }
    return _json;
  }
}

/// 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.
class 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" }] },
  core.bool not;

  /// 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 sequenceSegment;

  /// A Simple segment conditions consist of one or more dimension/metric
  /// conditions that can be combined
  SimpleSegment simpleSegment;

  SegmentFilter();

  SegmentFilter.fromJson(core.Map _json) {
    if (_json.containsKey('not')) {
      not = _json['not'] as core.bool;
    }
    if (_json.containsKey('sequenceSegment')) {
      sequenceSegment = SequenceSegment.fromJson(
          _json['sequenceSegment'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('simpleSegment')) {
      simpleSegment = SimpleSegment.fromJson(
          _json['simpleSegment'] as core.Map<core.String, core.dynamic>);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (not != null) {
      _json['not'] = not;
    }
    if (sequenceSegment != null) {
      _json['sequenceSegment'] = sequenceSegment.toJson();
    }
    if (simpleSegment != null) {
      _json['simpleSegment'] = simpleSegment.toJson();
    }
    return _json;
  }
}

/// Filter Clause to be used in a segment definition, can be wither a metric or
/// a dimension filter.
class SegmentFilterClause {
  /// Dimension Filter for the segment definition.
  SegmentDimensionFilter dimensionFilter;

  /// Metric Filter for the segment definition.
  SegmentMetricFilter metricFilter;

  /// Matches the complement (`!`) of the filter.
  core.bool not;

  SegmentFilterClause();

  SegmentFilterClause.fromJson(core.Map _json) {
    if (_json.containsKey('dimensionFilter')) {
      dimensionFilter = SegmentDimensionFilter.fromJson(
          _json['dimensionFilter'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('metricFilter')) {
      metricFilter = SegmentMetricFilter.fromJson(
          _json['metricFilter'] as core.Map<core.String, core.dynamic>);
    }
    if (_json.containsKey('not')) {
      not = _json['not'] as core.bool;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (dimensionFilter != null) {
      _json['dimensionFilter'] = dimensionFilter.toJson();
    }
    if (metricFilter != null) {
      _json['metricFilter'] = metricFilter.toJson();
    }
    if (not != null) {
      _json['not'] = not;
    }
    return _json;
  }
}

/// Metric filter to be used in a segment filter clause.
class SegmentMetricFilter {
  /// The value to compare against. If the operator is `BETWEEN`, this value is
  /// treated as minimum comparison value.
  core.String comparisonValue;

  /// Max comparison value is only used for `BETWEEN` operator.
  core.String maxComparisonValue;

  /// The metric that will be filtered on. A `metricFilter` must contain a
  /// metric name.
  core.String metricName;

  /// Specifies is the operation to perform to compare the metric. The default
  /// is `EQUAL`.
  /// Possible string values are:
  /// - "UNSPECIFIED_OPERATOR" : Unspecified operator is treated as `LESS_THAN`
  /// operator.
  /// - "LESS_THAN" : Checks if the metric value is less than comparison value.
  /// - "GREATER_THAN" : Checks if the metric value is greater than comparison
  /// value.
  /// - "EQUAL" : Equals operator.
  /// - "BETWEEN" : For between operator, both the minimum and maximum are
  /// exclusive. We will use `LT` and `GT` for comparison.
  core.String operator;

  /// 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.
  /// Possible string values are:
  /// - "UNSPECIFIED_SCOPE" : If the scope is unspecified, it defaults to the
  /// condition scope, `USER` or `SESSION` depending on if the segment is trying
  /// to choose users or sessions.
  /// - "PRODUCT" : Product scope.
  /// - "HIT" : Hit scope.
  /// - "SESSION" : Session scope.
  /// - "USER" : User scope.
  core.String scope;

  SegmentMetricFilter();

  SegmentMetricFilter.fromJson(core.Map _json) {
    if (_json.containsKey('comparisonValue')) {
      comparisonValue = _json['comparisonValue'] as core.String;
    }
    if (_json.containsKey('maxComparisonValue')) {
      maxComparisonValue = _json['maxComparisonValue'] as core.String;
    }
    if (_json.containsKey('metricName')) {
      metricName = _json['metricName'] as core.String;
    }
    if (_json.containsKey('operator')) {
      operator = _json['operator'] as core.String;
    }
    if (_json.containsKey('scope')) {
      scope = _json['scope'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (comparisonValue != null) {
      _json['comparisonValue'] = comparisonValue;
    }
    if (maxComparisonValue != null) {
      _json['maxComparisonValue'] = maxComparisonValue;
    }
    if (metricName != null) {
      _json['metricName'] = metricName;
    }
    if (operator != null) {
      _json['operator'] = operator;
    }
    if (scope != null) {
      _json['scope'] = scope;
    }
    return _json;
  }
}

/// A segment sequence definition.
class SegmentSequenceStep {
  /// Specifies if the step immediately precedes or can be any time before the
  /// next step.
  /// Possible string values are:
  /// - "UNSPECIFIED_MATCH_TYPE" : Unspecified match type is treated as
  /// precedes.
  /// - "PRECEDES" : Operator indicates that the previous step precedes the next
  /// step.
  /// - "IMMEDIATELY_PRECEDES" : Operator indicates that the previous step
  /// immediately precedes the next step.
  core.String matchType;

  /// A sequence is specified with a list of Or grouped filters which are
  /// combined with `AND` operator.
  core.List<OrFiltersForSegment> orFiltersForSegment;

  SegmentSequenceStep();

  SegmentSequenceStep.fromJson(core.Map _json) {
    if (_json.containsKey('matchType')) {
      matchType = _json['matchType'] as core.String;
    }
    if (_json.containsKey('orFiltersForSegment')) {
      orFiltersForSegment = (_json['orFiltersForSegment'] as core.List)
          .map<OrFiltersForSegment>((value) => OrFiltersForSegment.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (matchType != null) {
      _json['matchType'] = matchType;
    }
    if (orFiltersForSegment != null) {
      _json['orFiltersForSegment'] =
          orFiltersForSegment.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// 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.
class SequenceSegment {
  /// If set, first step condition must match the first hit of the visitor (in
  /// the date range).
  core.bool firstStepShouldMatchFirstHit;

  /// The list of steps in the sequence.
  core.List<SegmentSequenceStep> segmentSequenceSteps;

  SequenceSegment();

  SequenceSegment.fromJson(core.Map _json) {
    if (_json.containsKey('firstStepShouldMatchFirstHit')) {
      firstStepShouldMatchFirstHit =
          _json['firstStepShouldMatchFirstHit'] as core.bool;
    }
    if (_json.containsKey('segmentSequenceSteps')) {
      segmentSequenceSteps = (_json['segmentSequenceSteps'] as core.List)
          .map<SegmentSequenceStep>((value) => SegmentSequenceStep.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (firstStepShouldMatchFirstHit != null) {
      _json['firstStepShouldMatchFirstHit'] = firstStepShouldMatchFirstHit;
    }
    if (segmentSequenceSteps != null) {
      _json['segmentSequenceSteps'] =
          segmentSequenceSteps.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// A Simple segment conditions consist of one or more dimension/metric
/// conditions that can be combined.
class SimpleSegment {
  /// A list of segment filters groups which are combined with logical `AND`
  /// operator.
  core.List<OrFiltersForSegment> orFiltersForSegment;

  SimpleSegment();

  SimpleSegment.fromJson(core.Map _json) {
    if (_json.containsKey('orFiltersForSegment')) {
      orFiltersForSegment = (_json['orFiltersForSegment'] as core.List)
          .map<OrFiltersForSegment>((value) => OrFiltersForSegment.fromJson(
              value as core.Map<core.String, core.dynamic>))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (orFiltersForSegment != null) {
      _json['orFiltersForSegment'] =
          orFiltersForSegment.map((value) => value.toJson()).toList();
    }
    return _json;
  }
}

/// Represents details collected when the visitor performs a transaction on the
/// page.
class TransactionData {
  /// The transaction ID, supplied by the e-commerce tracking method, for the
  /// purchase in the shopping cart.
  core.String transactionId;

  /// The total sale revenue (excluding shipping and tax) of the transaction.
  core.double transactionRevenue;

  /// Total cost of shipping.
  core.double transactionShipping;

  /// Total tax for the transaction.
  core.double transactionTax;

  TransactionData();

  TransactionData.fromJson(core.Map _json) {
    if (_json.containsKey('transactionId')) {
      transactionId = _json['transactionId'] as core.String;
    }
    if (_json.containsKey('transactionRevenue')) {
      transactionRevenue = (_json['transactionRevenue'] as core.num).toDouble();
    }
    if (_json.containsKey('transactionShipping')) {
      transactionShipping =
          (_json['transactionShipping'] as core.num).toDouble();
    }
    if (_json.containsKey('transactionTax')) {
      transactionTax = (_json['transactionTax'] as core.num).toDouble();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (transactionId != null) {
      _json['transactionId'] = transactionId;
    }
    if (transactionRevenue != null) {
      _json['transactionRevenue'] = transactionRevenue;
    }
    if (transactionShipping != null) {
      _json['transactionShipping'] = transactionShipping;
    }
    if (transactionTax != null) {
      _json['transactionTax'] = transactionTax;
    }
    return _json;
  }
}

/// Contains information to identify a particular user uniquely.
class User {
  /// Type of the user in the request. The field `userId` is associated with
  /// this type.
  /// Possible string values are:
  /// - "USER_ID_TYPE_UNSPECIFIED" : When the User Id Type is not specified, the
  /// default type used will be CLIENT_ID.
  /// - "USER_ID" : A single user, like a signed-in user account, that may
  /// interact with content across one or more devices and / or browser
  /// instances.
  /// - "CLIENT_ID" : Analytics assigned client_id.
  core.String type;

  /// Unique Id of the user for which the data is being requested.
  core.String userId;

  User();

  User.fromJson(core.Map _json) {
    if (_json.containsKey('type')) {
      type = _json['type'] as core.String;
    }
    if (_json.containsKey('userId')) {
      userId = _json['userId'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (type != null) {
      _json['type'] = type;
    }
    if (userId != null) {
      _json['userId'] = userId;
    }
    return _json;
  }
}

/// This represents a user session performed on a specific device at a certain
/// time over a period of time.
class UserActivitySession {
  /// Represents a detailed view into each of the activity in this session.
  core.List<Activity> activities;

  /// The data source of a hit. By default, hits sent from analytics.js are
  /// reported as "web" and hits sent from the mobile SDKs are reported as
  /// "app". These values can be overridden in the Measurement Protocol.
  core.String dataSource;

  /// The type of device used: "mobile", "tablet" etc.
  core.String deviceCategory;

  /// Platform on which the activity happened: "android", "ios" etc.
  core.String platform;

  /// Date of this session in ISO-8601 format.
  core.String sessionDate;

  /// Unique ID of the session.
  core.String sessionId;

  UserActivitySession();

  UserActivitySession.fromJson(core.Map _json) {
    if (_json.containsKey('activities')) {
      activities = (_json['activities'] as core.List)
          .map<Activity>((value) =>
              Activity.fromJson(value as core.Map<core.String, core.dynamic>))
          .toList();
    }
    if (_json.containsKey('dataSource')) {
      dataSource = _json['dataSource'] as core.String;
    }
    if (_json.containsKey('deviceCategory')) {
      deviceCategory = _json['deviceCategory'] as core.String;
    }
    if (_json.containsKey('platform')) {
      platform = _json['platform'] as core.String;
    }
    if (_json.containsKey('sessionDate')) {
      sessionDate = _json['sessionDate'] as core.String;
    }
    if (_json.containsKey('sessionId')) {
      sessionId = _json['sessionId'] as core.String;
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final _json = <core.String, core.Object>{};
    if (activities != null) {
      _json['activities'] = activities.map((value) => value.toJson()).toList();
    }
    if (dataSource != null) {
      _json['dataSource'] = dataSource;
    }
    if (deviceCategory != null) {
      _json['deviceCategory'] = deviceCategory;
    }
    if (platform != null) {
      _json['platform'] = platform;
    }
    if (sessionDate != null) {
      _json['sessionDate'] = sessionDate;
    }
    if (sessionId != null) {
      _json['sessionId'] = sessionId;
    }
    return _json;
  }
}