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<?php # Generated by the protocol buffer compiler. DO NOT EDIT! # source: google/analytics/data/v1beta/analytics_data_api.proto
namespace Google\Analytics\Data\V1beta;
use Google\Protobuf\Internal\GPBType; use Google\Protobuf\Internal\RepeatedField; use Google\Protobuf\Internal\GPBUtil;
/** * The response pivot report table corresponding to a pivot request. * * Generated from protobuf message <code>google.analytics.data.v1beta.RunPivotReportResponse</code> */ class RunPivotReportResponse extends \Google\Protobuf\Internal\Message { /** * Summarizes the columns and rows created by a pivot. Each pivot in the * request produces one header in the response. If we have a request like * this: * "pivots": [{ * "fieldNames": ["country", * "city"] * }, * { * "fieldNames": "eventName" * }] * We will have the following `pivotHeaders` in the response: * "pivotHeaders" : [{ * "dimensionHeaders": [{ * "dimensionValues": [ * { "value": "United Kingdom" }, * { "value": "London" } * ] * }, * { * "dimensionValues": [ * { "value": "Japan" }, * { "value": "Osaka" } * ] * }] * }, * { * "dimensionHeaders": [{ * "dimensionValues": [{ "value": "session_start" }] * }, * { * "dimensionValues": [{ "value": "scroll" }] * }] * }] * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.PivotHeader pivot_headers = 1;</code> */ private $pivot_headers; /** * Describes dimension columns. The number of DimensionHeaders and ordering of * DimensionHeaders matches the dimensions present in rows. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.DimensionHeader dimension_headers = 2;</code> */ private $dimension_headers; /** * Describes metric columns. The number of MetricHeaders and ordering of * MetricHeaders matches the metrics present in rows. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.MetricHeader metric_headers = 3;</code> */ private $metric_headers; /** * Rows of dimension value combinations and metric values in the report. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.Row rows = 4;</code> */ private $rows; /** * Aggregation of metric values. Can be totals, minimums, or maximums. The * returned aggregations are controlled by the metric_aggregations in the * pivot. The type of aggregation returned in each row is shown by the * dimension_values which are set to "RESERVED_<MetricAggregation>". * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.Row aggregates = 5;</code> */ private $aggregates; /** * Metadata for the report. * * Generated from protobuf field <code>.google.analytics.data.v1beta.ResponseMetaData metadata = 6;</code> */ private $metadata = null; /** * This Analytics Property's quota state including this request. * * Generated from protobuf field <code>.google.analytics.data.v1beta.PropertyQuota property_quota = 7;</code> */ private $property_quota = null; /** * Identifies what kind of resource this message is. This `kind` is always the * fixed string "analyticsData#runPivotReport". Useful to distinguish between * response types in JSON. * * Generated from protobuf field <code>string kind = 8;</code> */ private $kind = '';
/** * Constructor. * * @param array $data { * Optional. Data for populating the Message object. * * @type array<\Google\Analytics\Data\V1beta\PivotHeader>|\Google\Protobuf\Internal\RepeatedField $pivot_headers * Summarizes the columns and rows created by a pivot. Each pivot in the * request produces one header in the response. If we have a request like * this: * "pivots": [{ * "fieldNames": ["country", * "city"] * }, * { * "fieldNames": "eventName" * }] * We will have the following `pivotHeaders` in the response: * "pivotHeaders" : [{ * "dimensionHeaders": [{ * "dimensionValues": [ * { "value": "United Kingdom" }, * { "value": "London" } * ] * }, * { * "dimensionValues": [ * { "value": "Japan" }, * { "value": "Osaka" } * ] * }] * }, * { * "dimensionHeaders": [{ * "dimensionValues": [{ "value": "session_start" }] * }, * { * "dimensionValues": [{ "value": "scroll" }] * }] * }] * @type array<\Google\Analytics\Data\V1beta\DimensionHeader>|\Google\Protobuf\Internal\RepeatedField $dimension_headers * Describes dimension columns. The number of DimensionHeaders and ordering of * DimensionHeaders matches the dimensions present in rows. * @type array<\Google\Analytics\Data\V1beta\MetricHeader>|\Google\Protobuf\Internal\RepeatedField $metric_headers * Describes metric columns. The number of MetricHeaders and ordering of * MetricHeaders matches the metrics present in rows. * @type array<\Google\Analytics\Data\V1beta\Row>|\Google\Protobuf\Internal\RepeatedField $rows * Rows of dimension value combinations and metric values in the report. * @type array<\Google\Analytics\Data\V1beta\Row>|\Google\Protobuf\Internal\RepeatedField $aggregates * Aggregation of metric values. Can be totals, minimums, or maximums. The * returned aggregations are controlled by the metric_aggregations in the * pivot. The type of aggregation returned in each row is shown by the * dimension_values which are set to "RESERVED_<MetricAggregation>". * @type \Google\Analytics\Data\V1beta\ResponseMetaData $metadata * Metadata for the report. * @type \Google\Analytics\Data\V1beta\PropertyQuota $property_quota * This Analytics Property's quota state including this request. * @type string $kind * Identifies what kind of resource this message is. This `kind` is always the * fixed string "analyticsData#runPivotReport". Useful to distinguish between * response types in JSON. * } */ public function __construct($data = NULL) { \GPBMetadata\Google\Analytics\Data\V1Beta\AnalyticsDataApi::initOnce(); parent::__construct($data); }
/** * Summarizes the columns and rows created by a pivot. Each pivot in the * request produces one header in the response. If we have a request like * this: * "pivots": [{ * "fieldNames": ["country", * "city"] * }, * { * "fieldNames": "eventName" * }] * We will have the following `pivotHeaders` in the response: * "pivotHeaders" : [{ * "dimensionHeaders": [{ * "dimensionValues": [ * { "value": "United Kingdom" }, * { "value": "London" } * ] * }, * { * "dimensionValues": [ * { "value": "Japan" }, * { "value": "Osaka" } * ] * }] * }, * { * "dimensionHeaders": [{ * "dimensionValues": [{ "value": "session_start" }] * }, * { * "dimensionValues": [{ "value": "scroll" }] * }] * }] * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.PivotHeader pivot_headers = 1;</code> * @return \Google\Protobuf\Internal\RepeatedField */ public function getPivotHeaders() { return $this->pivot_headers; }
/** * Summarizes the columns and rows created by a pivot. Each pivot in the * request produces one header in the response. If we have a request like * this: * "pivots": [{ * "fieldNames": ["country", * "city"] * }, * { * "fieldNames": "eventName" * }] * We will have the following `pivotHeaders` in the response: * "pivotHeaders" : [{ * "dimensionHeaders": [{ * "dimensionValues": [ * { "value": "United Kingdom" }, * { "value": "London" } * ] * }, * { * "dimensionValues": [ * { "value": "Japan" }, * { "value": "Osaka" } * ] * }] * }, * { * "dimensionHeaders": [{ * "dimensionValues": [{ "value": "session_start" }] * }, * { * "dimensionValues": [{ "value": "scroll" }] * }] * }] * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.PivotHeader pivot_headers = 1;</code> * @param array<\Google\Analytics\Data\V1beta\PivotHeader>|\Google\Protobuf\Internal\RepeatedField $var * @return $this */ public function setPivotHeaders($var) { $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Analytics\Data\V1beta\PivotHeader::class); $this->pivot_headers = $arr;
return $this; }
/** * Describes dimension columns. The number of DimensionHeaders and ordering of * DimensionHeaders matches the dimensions present in rows. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.DimensionHeader dimension_headers = 2;</code> * @return \Google\Protobuf\Internal\RepeatedField */ public function getDimensionHeaders() { return $this->dimension_headers; }
/** * Describes dimension columns. The number of DimensionHeaders and ordering of * DimensionHeaders matches the dimensions present in rows. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.DimensionHeader dimension_headers = 2;</code> * @param array<\Google\Analytics\Data\V1beta\DimensionHeader>|\Google\Protobuf\Internal\RepeatedField $var * @return $this */ public function setDimensionHeaders($var) { $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Analytics\Data\V1beta\DimensionHeader::class); $this->dimension_headers = $arr;
return $this; }
/** * Describes metric columns. The number of MetricHeaders and ordering of * MetricHeaders matches the metrics present in rows. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.MetricHeader metric_headers = 3;</code> * @return \Google\Protobuf\Internal\RepeatedField */ public function getMetricHeaders() { return $this->metric_headers; }
/** * Describes metric columns. The number of MetricHeaders and ordering of * MetricHeaders matches the metrics present in rows. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.MetricHeader metric_headers = 3;</code> * @param array<\Google\Analytics\Data\V1beta\MetricHeader>|\Google\Protobuf\Internal\RepeatedField $var * @return $this */ public function setMetricHeaders($var) { $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Analytics\Data\V1beta\MetricHeader::class); $this->metric_headers = $arr;
return $this; }
/** * Rows of dimension value combinations and metric values in the report. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.Row rows = 4;</code> * @return \Google\Protobuf\Internal\RepeatedField */ public function getRows() { return $this->rows; }
/** * Rows of dimension value combinations and metric values in the report. * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.Row rows = 4;</code> * @param array<\Google\Analytics\Data\V1beta\Row>|\Google\Protobuf\Internal\RepeatedField $var * @return $this */ public function setRows($var) { $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Analytics\Data\V1beta\Row::class); $this->rows = $arr;
return $this; }
/** * Aggregation of metric values. Can be totals, minimums, or maximums. The * returned aggregations are controlled by the metric_aggregations in the * pivot. The type of aggregation returned in each row is shown by the * dimension_values which are set to "RESERVED_<MetricAggregation>". * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.Row aggregates = 5;</code> * @return \Google\Protobuf\Internal\RepeatedField */ public function getAggregates() { return $this->aggregates; }
/** * Aggregation of metric values. Can be totals, minimums, or maximums. The * returned aggregations are controlled by the metric_aggregations in the * pivot. The type of aggregation returned in each row is shown by the * dimension_values which are set to "RESERVED_<MetricAggregation>". * * Generated from protobuf field <code>repeated .google.analytics.data.v1beta.Row aggregates = 5;</code> * @param array<\Google\Analytics\Data\V1beta\Row>|\Google\Protobuf\Internal\RepeatedField $var * @return $this */ public function setAggregates($var) { $arr = GPBUtil::checkRepeatedField($var, \Google\Protobuf\Internal\GPBType::MESSAGE, \Google\Analytics\Data\V1beta\Row::class); $this->aggregates = $arr;
return $this; }
/** * Metadata for the report. * * Generated from protobuf field <code>.google.analytics.data.v1beta.ResponseMetaData metadata = 6;</code> * @return \Google\Analytics\Data\V1beta\ResponseMetaData|null */ public function getMetadata() { return $this->metadata; }
public function hasMetadata() { return isset($this->metadata); }
public function clearMetadata() { unset($this->metadata); }
/** * Metadata for the report. * * Generated from protobuf field <code>.google.analytics.data.v1beta.ResponseMetaData metadata = 6;</code> * @param \Google\Analytics\Data\V1beta\ResponseMetaData $var * @return $this */ public function setMetadata($var) { GPBUtil::checkMessage($var, \Google\Analytics\Data\V1beta\ResponseMetaData::class); $this->metadata = $var;
return $this; }
/** * This Analytics Property's quota state including this request. * * Generated from protobuf field <code>.google.analytics.data.v1beta.PropertyQuota property_quota = 7;</code> * @return \Google\Analytics\Data\V1beta\PropertyQuota|null */ public function getPropertyQuota() { return $this->property_quota; }
public function hasPropertyQuota() { return isset($this->property_quota); }
public function clearPropertyQuota() { unset($this->property_quota); }
/** * This Analytics Property's quota state including this request. * * Generated from protobuf field <code>.google.analytics.data.v1beta.PropertyQuota property_quota = 7;</code> * @param \Google\Analytics\Data\V1beta\PropertyQuota $var * @return $this */ public function setPropertyQuota($var) { GPBUtil::checkMessage($var, \Google\Analytics\Data\V1beta\PropertyQuota::class); $this->property_quota = $var;
return $this; }
/** * Identifies what kind of resource this message is. This `kind` is always the * fixed string "analyticsData#runPivotReport". Useful to distinguish between * response types in JSON. * * Generated from protobuf field <code>string kind = 8;</code> * @return string */ public function getKind() { return $this->kind; }
/** * Identifies what kind of resource this message is. This `kind` is always the * fixed string "analyticsData#runPivotReport". Useful to distinguish between * response types in JSON. * * Generated from protobuf field <code>string kind = 8;</code> * @param string $var * @return $this */ public function setKind($var) { GPBUtil::checkString($var, True); $this->kind = $var;
return $this; }
}
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