As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Types for Google Analytics Data v1alpha API¶

class google.analytics.data_v1alpha.types.BatchRunPivotReportsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The batch request containing multiple pivot report requests.

entity¶

A property whose events are tracked. This entity must be specified for the batch. The entity within RunPivotReportRequest may either be unspecified or consistent with this entity.

Type: Entity

requests¶

Individual requests. Each request has a separate pivot report response. Each batch request is allowed up to 5 requests.

Type: Sequence[RunPivotReportRequest]

class google.analytics.data_v1alpha.types.BatchRunPivotReportsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The batch response containing multiple pivot reports.

pivot_reports¶

Individual responses. Each response has a separate pivot report request.

Type: Sequence[RunPivotReportResponse]

class google.analytics.data_v1alpha.types.BatchRunReportsRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The batch request containing multiple report requests.

entity¶

A property whose events are tracked. This entity must be specified for the batch. The entity within RunReportRequest may either be unspecified or consistent with this entity.

Type: Entity

requests¶

Individual requests. Each request has a separate report response. Each batch request is allowed up to 5 requests.

Type: Sequence[RunReportRequest]

class google.analytics.data_v1alpha.types.BatchRunReportsResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The batch response containing multiple reports.

reports¶

Individual responses. Each response has a separate report request.

Type: Sequence[RunReportResponse]

class google.analytics.data_v1alpha.types.Cohort(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

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.

name¶

Assigns a name to this cohort. The dimension cohort is valued to this name in a report response. If set, cannot begin with cohort_ or RESERVED_. If not set, cohorts are named by their zero based index cohort_0, cohort_1, etc.

Type: str

dimension¶

The dimension used by cohort. Only supports firstTouchDate for retention report.

Type: str

date_range¶

The cohort selects users whose first visit date is between start date and end date defined in the dateRange. In a cohort request, this dateRange is required and the dateRanges in the RunReportRequest or RunPivotReportRequest must be unspecified.

The date range should be aligned with the cohort’s granularity. If CohortsRange uses daily granularity, the date range can be aligned to any day. If CohortsRange uses weekly granularity, the date range should be aligned to the week boundary, starting at Sunday and ending Saturday. If CohortsRange uses monthly granularity, the date range should be aligned to the month, starting at the first and ending on the last day of the month.

Type: DateRange

class google.analytics.data_v1alpha.types.CohortReportSettings(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Settings of a cohort report.

accumulate¶

If true, accumulates the result from first visit day to the end day. Not supported in RunReportRequest.

Type: bool

class google.analytics.data_v1alpha.types.CohortSpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Specification for a cohort report.

cohorts¶

The definition for the cohorts.

Type: Sequence[Cohort]

cohorts_range¶

The data ranges of cohorts.

Type: CohortsRange

cohort_report_settings¶

Settings of a cohort report.

Type: CohortReportSettings

class google.analytics.data_v1alpha.types.CohortsRange(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Describes date range for a cohort report.

granularity¶

Reporting date range for each cohort is calculated based on these three fields.

Type: Granularity

start_offset¶

For daily cohorts, this will be the start day offset. For weekly cohorts, this will be the week offset.

Type: int

end_offset¶

For daily cohorts, this will be the end day offset. For weekly cohorts, this will be the week offset.

Type: int

class Granularity(value)[source]¶

Bases: proto.enums.Enum

Reporting granularity for the cohorts.

class google.analytics.data_v1alpha.types.DateRange(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A contiguous set of days: startDate, startDate + 1, …, endDate. Requests are allowed up to 4 date ranges.

start_date¶

The inclusive start date for the query in the format YYYY-MM-DD. Cannot be after end_date. The format NdaysAgo, yesterday, or today is also accepted, and in that case, the date is inferred based on the property’s reporting time zone.

Type: str

end_date¶

The inclusive end date for the query in the format YYYY-MM-DD. Cannot be before start_date. The format NdaysAgo, yesterday, or today is also accepted, and in that case, the date is inferred based on the property’s reporting time zone.

Type: str

name¶

Assigns a name to this date range. The dimension dateRange is valued to this name in a report response. If set, cannot begin with date_range_ or RESERVED_. If not set, date ranges are named by their zero based index in the request: date_range_0, date_range_1, etc.

Type: str

class google.analytics.data_v1alpha.types.Dimension(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Dimensions are attributes of your data. For example, the dimension city indicates the city from which an event originates. Dimension values in report responses are strings; for example, city could be “Paris” or “New York”. Requests are allowed up to 8 dimensions.

name¶

The name of the dimension. See the API Dimensions for the list of dimension names.

If dimensionExpression is specified, name can be any string that you would like. For example if a dimensionExpression concatenates country and city, you could call that dimension countryAndCity.

Dimensions are referenced by name in dimensionFilter, orderBys, dimensionExpression, and pivots.

Type: str

dimension_expression¶

One dimension can be the result of an expression of multiple dimensions. For example, dimension “country, city”: concatenate(country, “, “, city).

Type: DimensionExpression

class google.analytics.data_v1alpha.types.DimensionExpression(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Used to express a dimension which is the result of a formula of multiple dimensions. Example usages:

lower_case(dimension)
concatenate(dimension1, symbol, dimension2).

lower_case¶

Used to convert a dimension value to lower case.

Type: CaseExpression

upper_case¶

Used to convert a dimension value to upper case.

Type: CaseExpression

concatenate¶

Used to combine dimension values to a single dimension. For example, dimension “country, city”: concatenate(country, “, “, city).

Type: ConcatenateExpression

class CaseExpression(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Used to convert a dimension value to a single case.

dimension_name¶

Name of a dimension. The name must refer back to a name in dimensions field of the request.

Type: str

class ConcatenateExpression(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Used to combine dimension values to a single dimension.

dimension_names¶

Names of dimensions. The names must refer back to names in the dimensions field of the request.

Type: Sequence[str]

delimiter¶

The delimiter placed between dimension names.

Delimiters are often single characters such as “|” or “,” but can be longer strings. If a dimension value contains the delimiter, both will be present in response with no distinction. For example if dimension 1 value = “US,FR”, dimension 2 value = “JP”, and delimiter = “,”, then the response will contain “US,FR,JP”.

Type: str

class google.analytics.data_v1alpha.types.DimensionHeader(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Describes a dimension column in the report. Dimensions requested in a report produce column entries within rows and DimensionHeaders. However, dimensions used exclusively within filters or expressions do not produce columns in a report; correspondingly, those dimensions do not produce headers.

name¶

The dimension’s name.

Type: str

class google.analytics.data_v1alpha.types.DimensionMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Explains a dimension.

api_name¶

This dimension’s name. Useable in Dimension’s name. For example, eventName.

Type: str

ui_name¶

This dimension’s name within the Google Analytics user interface. For example, Event name.

Type: str

description¶

Description of how this dimension is used and calculated.

Type: str

deprecated_api_names¶

Still usable but deprecated names for this dimension. If populated, this dimension is available by either apiName or one of deprecatedApiNames for a period of time. After the deprecation period, the dimension will be available only by apiName.

Type: Sequence[str]

class google.analytics.data_v1alpha.types.DimensionValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The value of a dimension.

value¶

Value as a string if the dimension type is a string.

Type: str

class google.analytics.data_v1alpha.types.Entity(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The unique identifier of the property whose events are tracked.

property_id¶

A Google Analytics GA4 property id. To learn more, see where to find your Property ID.

Type: str

class google.analytics.data_v1alpha.types.Filter(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

An expression to filter dimension or metric values.

field_name¶

The dimension name or metric name. Must be a name defined in dimensions or metrics.

Type: str

null_filter¶

A filter for null values. If True, a null dimension value is matched by this filter. Null filter is commonly used inside a NOT filter expression. For example, a NOT expression of a null filter removes rows when a dimension is null.

Type: bool

string_filter¶

Strings related filter.

Type: StringFilter

in_list_filter¶

A filter for in list values.

Type: InListFilter

numeric_filter¶

A filter for numeric or date values.

Type: NumericFilter

between_filter¶

A filter for two values.

Type: BetweenFilter

class BetweenFilter(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

To express that the result needs to be between two numbers (inclusive).

from_value¶

Begins with this number.

Type: NumericValue

to_value¶

Ends with this number.

Type: NumericValue

class InListFilter(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The result needs to be in a list of string values.

values¶

The list of string values. Must be non-empty.

Type: Sequence[str]

case_sensitive¶

If true, the string value is case sensitive.

Type: bool

class NumericFilter(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Filters for numeric or date values.

operation¶

The operation type for this filter.

Type: Operation

value¶

A numeric value or a date value.

Type: NumericValue

class Operation(value)[source]¶

Bases: proto.enums.Enum

The operation applied to a numeric filter

class StringFilter(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The filter for string

match_type¶

The match type for this filter.

Type: MatchType

value¶

The string value used for the matching.

Type: str

case_sensitive¶

If true, the string value is case sensitive.

Type: bool

class MatchType(value)[source]¶

Bases: proto.enums.Enum

The match type of a string filter

class google.analytics.data_v1alpha.types.FilterExpression(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

To express dimension or metric filters. The fields in the same FilterExpression need to be either all dimensions or all metrics.

and_group¶

The FilterExpressions in and_group have an AND relationship.

Type: FilterExpressionList

or_group¶

The FilterExpressions in or_group have an OR relationship.

Type: FilterExpressionList

not_expression¶

The FilterExpression is NOT of not_expression.

Type: FilterExpression

filter¶

A primitive filter. All fields in filter in same FilterExpression needs to be either all dimensions or metrics.

Type: Filter

class google.analytics.data_v1alpha.types.FilterExpressionList(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A list of filter expressions.

expressions¶

A list of filter expressions.

Type: Sequence[FilterExpression]

class google.analytics.data_v1alpha.types.GetMetadataRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Request for a property’s dimension and metric metadata.

name¶

Required. The resource name of the metadata to retrieve. This name field is specified in the URL path and not URL parameters. Property is a numeric Google Analytics GA4 Property identifier. To learn more, see where to find your Property ID.

Example: properties/1234/metadata

Set the Property ID to 0 for dimensions and metrics common to all properties. In this special mode, this method will not return custom dimensions and metrics.

Type: str

class google.analytics.data_v1alpha.types.Metadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The dimensions and metrics currently accepted in reporting methods.

name¶

Resource name of this metadata.

Type: str

dimensions¶

The dimension descriptions.

Type: Sequence[DimensionMetadata]

metrics¶

The metric descriptions.

Type: Sequence[MetricMetadata]

class google.analytics.data_v1alpha.types.Metric(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The quantitative measurements of a report. For example, the metric eventCount is the total number of events. Requests are allowed up to 10 metrics.

name¶

The name of the metric. See the API Metrics for the list of metric names.

If expression is specified, name can be any string that you would like. For example if expression is screenPageViews/sessions, you could call that metric’s name = viewsPerSession.

Metrics are referenced by name in metricFilter, orderBys, and metric expression.

Type: str

expression¶

A mathematical expression for derived metrics. For example, the metric Event count per user is eventCount/totalUsers.

Type: str

invisible¶

Indicates if a metric is invisible in the report response. If a metric is invisible, the metric will not produce a column in the response, but can be used in metricFilter, orderBys, or a metric expression.

Type: bool

class google.analytics.data_v1alpha.types.MetricHeader(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Describes a metric column in the report. Visible metrics requested in a report produce column entries within rows and MetricHeaders. However, metrics used exclusively within filters or expressions do not produce columns in a report; correspondingly, those metrics do not produce headers.

name¶

The metric’s name.

Type: str

type_¶

The metric’s data type.

Type: MetricType

class google.analytics.data_v1alpha.types.MetricMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Explains a metric.

api_name¶

A metric name. Useable in Metric’s name. For example, eventCount.

Type: str

ui_name¶

This metric’s name within the Google Analytics user interface. For example, Event count.

Type: str

description¶

Description of how this metric is used and calculated.

Type: str

deprecated_api_names¶

Still usable but deprecated names for this metric. If populated, this metric is available by either apiName or one of deprecatedApiNames for a period of time. After the deprecation period, the metric will be available only by apiName.

Type: Sequence[str]

type_¶

The type of this metric.

Type: MetricType

expression¶

The mathematical expression for this derived metric. Can be used in Metric’s expression field for equivalent reports. Most metrics are not expressions, and for non-expressions, this field is empty.

Type: str

class google.analytics.data_v1alpha.types.MetricValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The value of a metric.

value¶

Measurement value. See MetricHeader for type.

Type: str

class google.analytics.data_v1alpha.types.NumericValue(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

To represent a number.

int64_value¶

Integer value

Type: int

double_value¶

Double value

Type: float

class google.analytics.data_v1alpha.types.OrderBy(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The sort options.

metric¶

Sorts results by a metric’s values.

Type: MetricOrderBy

dimension¶

Sorts results by a dimension’s values.

Type: DimensionOrderBy

pivot¶

Sorts results by a metric’s values within a pivot column group.

Type: PivotOrderBy

desc¶

If true, sorts by descending order.

Type: bool

class DimensionOrderBy(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Sorts by dimension values.

dimension_name¶

A dimension name in the request to order by.

Type: str

order_type¶

Controls the rule for dimension value ordering.

Type: OrderType

class OrderType(value)[source]¶

Bases: proto.enums.Enum

Rule to order the string dimension values by.

class MetricOrderBy(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Sorts by metric values.

metric_name¶

A metric name in the request to order by.

Type: str

class PivotOrderBy(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Sorts by a pivot column group.

metric_name¶

In the response to order by, order rows by this column. Must be a metric name from the request.

Type: str

pivot_selections¶

Used to select a dimension name and value pivot. If multiple pivot selections are given, the sort occurs on rows where all pivot selection dimension name and value pairs match the row’s dimension name and value pair.

Type: Sequence[PivotSelection]

class PivotSelection(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

A pair of dimension names and values. Rows with this dimension pivot pair are ordered by the metric’s value.

For example if pivots = {{“browser”, “Chrome”}} and metric_name = “Sessions”, then the rows will be sorted based on Sessions in Chrome.

---------|----------|----------------|----------|----------------
         |  Chrome  |    Chrome      |  Safari  |     Safari
---------|----------|----------------|----------|----------------
 Country | Sessions | Pages/Sessions | Sessions | Pages/Sessions
---------|----------|----------------|----------|----------------
    US   |    2     |       2        |     3    |        1
---------|----------|----------------|----------|----------------
  Canada |    3     |       1        |     4    |        1
---------|----------|----------------|----------|----------------

dimension_name¶

Must be a dimension name from the request.

Type: str

dimension_value¶

Order by only when the named dimension is this value.

Type: str

class google.analytics.data_v1alpha.types.Pivot(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Describes the visible dimension columns and rows in the report response.

field_names¶

Dimension names for visible columns in the report response. Including “dateRange” produces a date range column; for each row in the response, dimension values in the date range column will indicate the corresponding date range from the request.

Type: Sequence[str]

order_bys¶

Specifies how dimensions are ordered in the pivot. In the first Pivot, the OrderBys determine Row and PivotDimensionHeader ordering; in subsequent Pivots, the OrderBys determine only PivotDimensionHeader ordering. Dimensions specified in these OrderBys must be a subset of Pivot.field_names.

Type: Sequence[OrderBy]

offset¶

The row count of the start row. The first row is counted as row 0.

Type: int

limit¶

The number of rows to return in this pivot. If unspecified, 10 rows are returned. If -1, all rows are returned.

Type: int

metric_aggregations¶

Aggregate the metrics by dimensions in this pivot using the specified metric_aggregations.

Type: Sequence[MetricAggregation]

class google.analytics.data_v1alpha.types.PivotDimensionHeader(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Summarizes dimension values from a row for this pivot.

dimension_values¶

Values of multiple dimensions in a pivot.

Type: Sequence[DimensionValue]

class google.analytics.data_v1alpha.types.PivotHeader(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Dimensions’ values in a single pivot.

pivot_dimension_headers¶

The size is the same as the cardinality of the corresponding dimension combinations.

Type: Sequence[PivotDimensionHeader]

row_count¶

The cardinality of the pivot as if offset = 0 and limit = -1. The total number of rows for this pivot’s fields regardless of how the parameters offset and limit are specified in the request.

Type: int

class google.analytics.data_v1alpha.types.PropertyQuota(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Current state of all quotas for this Analytics Property. If any quota for a property is exhausted, all requests to that property will return Resource Exhausted errors.

tokens_per_day¶

Standard Analytics Properties can use up to 25,000 tokens per day; Analytics 360 Properties can use 250,000 tokens per day. Most requests consume fewer than 10 tokens.

Type: QuotaStatus

tokens_per_hour¶

Standard Analytics Properties can use up to 5,000 tokens per day; Analytics 360 Properties can use 50,000 tokens per day. An API request consumes a single number of tokens, and that number is deducted from both the hourly and daily quotas.

Type: QuotaStatus

concurrent_requests¶

Standard Analytics Properties can send up to 10 concurrent requests; Analytics 360 Properties can use up to 50 concurrent requests.

Type: QuotaStatus

server_errors_per_project_per_hour¶

Standard Analytics Properties and cloud project pairs can have up to 10 server errors per hour; Analytics 360 Properties and cloud project pairs can have up to 50 server errors per hour.

Type: QuotaStatus

class google.analytics.data_v1alpha.types.QuotaStatus(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Current state for a particular quota group.

consumed¶

Quota consumed by this request.

Type: int

remaining¶

Quota remaining after this request.

Type: int

class google.analytics.data_v1alpha.types.ResponseMetaData(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Response’s metadata carrying additional information about the report content.

data_loss_from_other_row¶

If true, indicates some buckets of dimension combinations are rolled into “(other)” row. This can happen for high cardinality reports.

Type: bool

class google.analytics.data_v1alpha.types.Row(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

Report data for each row. For example if RunReportRequest contains:

"dimensions": [
  {
    "name": "eventName"
  },
  {
    "name": "countryId"
  }
],
"metrics": [
  {
    "name": "eventCount"
  }
]

One row with ‘in_app_purchase’ as the eventName, ‘JP’ as the countryId, and 15 as the eventCount, would be:

"dimensionValues": [
  {
    "value": "in_app_purchase"
  },
  {
    "value": "JP"
  }
],
"metricValues": [
  {
    "value": "15"
  }
]

dimension_values¶

List of requested dimension values. In a PivotReport, dimension_values are only listed for dimensions included in a pivot.

Type: Sequence[DimensionValue]

metric_values¶

List of requested visible metric values.

Type: Sequence[MetricValue]

class google.analytics.data_v1alpha.types.RunPivotReportRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The request to generate a pivot report.

entity¶

A property whose events are tracked. Within a batch request, this entity should either be unspecified or consistent with the batch-level entity.

Type: Entity

dimensions¶

The dimensions requested. All defined dimensions must be used by one of the following: dimension_expression, dimension_filter, pivots, order_bys.

Type: Sequence[Dimension]

metrics¶

The metrics requested, at least one metric needs to be specified. All defined metrics must be used by one of the following: metric_expression, metric_filter, order_bys.

Type: Sequence[Metric]

dimension_filter¶

The filter clause of dimensions. Dimensions must be requested to be used in this filter. Metrics cannot be used in this filter.

Type: FilterExpression

metric_filter¶

The filter clause of metrics. Applied at post aggregation phase, similar to SQL having-clause. Metrics must be requested to be used in this filter. Dimensions cannot be used in this filter.

Type: FilterExpression

pivots¶

Describes the visual format of the report’s dimensions in columns or rows. The union of the fieldNames (dimension names) in all pivots must be a subset of dimension names defined in Dimensions. No two pivots can share a dimension. A dimension is only visible if it appears in a pivot.

Type: Sequence[Pivot]

date_ranges¶

The date range to retrieve event data for the report. If multiple date ranges are specified, event data from each date range is used in the report. A special dimension with field name “dateRange” can be included in a Pivot’s field names; if included, the report compares between date ranges. In a cohort request, this dateRanges must be unspecified.

Type: Sequence[DateRange]

currency_code¶

A currency code in ISO4217 format, such as “AED”, “USD”, “JPY”. If the field is empty, the report uses the entity’s default currency.

Type: str

cohort_spec¶

Cohort group associated with this request. If there is a cohort group in the request the ‘cohort’ dimension must be present.

Type: CohortSpec

keep_empty_rows¶

If false or unspecified, each row with all metrics equal to 0 will not be returned. If true, these rows will be returned if they are not separately removed by a filter.

Type: bool

return_property_quota¶

Toggles whether to return the current state of this Analytics Property’s quota. Quota is returned in PropertyQuota.

Type: bool

class google.analytics.data_v1alpha.types.RunPivotReportResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The response pivot report table corresponding to a pivot request.

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: Sequence[PivotHeader]

dimension_headers¶

Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.

Type: Sequence[DimensionHeader]

metric_headers¶

Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.

Type: Sequence[MetricHeader]

rows¶

Rows of dimension value combinations and metric values in the report.

Type: Sequence[Row]

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_”.

Type: Sequence[Row]

metadata¶

Metadata for the report.

Type: ResponseMetaData

property_quota¶

This Analytics Property’s quota state including this request.

Type: PropertyQuota

class google.analytics.data_v1alpha.types.RunRealtimeReportRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The request to generate a realtime report.

property¶

A Google Analytics GA4 property identifier whose events are tracked. Specified in the URL path and not the body. To learn more, see where to find your Property ID.

Example: properties/1234

Type: str

dimensions¶

The dimensions requested and displayed.

Type: Sequence[Dimension]

metrics¶

The metrics requested and displayed.

Type: Sequence[Metric]

limit¶

The number of rows to return. If unspecified, 10 rows are returned. If -1, all rows are returned.

Type: int

dimension_filter¶

The filter clause of dimensions. Dimensions must be requested to be used in this filter. Metrics cannot be used in this filter.

Type: FilterExpression

metric_filter¶

The filter clause of metrics. Applied at post aggregation phase, similar to SQL having-clause. Metrics must be requested to be used in this filter. Dimensions cannot be used in this filter.

Type: FilterExpression

metric_aggregations¶

Aggregation of metrics. Aggregated metric values will be shown in rows where the dimension_values are set to “RESERVED_(MetricAggregation)”.

Type: Sequence[MetricAggregation]

order_bys¶

Specifies how rows are ordered in the response.

Type: Sequence[OrderBy]

return_property_quota¶

Toggles whether to return the current state of this Analytics Property’s Realtime quota. Quota is returned in PropertyQuota.

Type: bool

class google.analytics.data_v1alpha.types.RunRealtimeReportResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The response realtime report table corresponding to a request.

dimension_headers¶

Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.

Type: Sequence[DimensionHeader]

metric_headers¶

Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.

Type: Sequence[MetricHeader]

rows¶

Rows of dimension value combinations and metric values in the report.

Type: Sequence[Row]

totals¶

If requested, the totaled values of metrics.

Type: Sequence[Row]

maximums¶

If requested, the maximum values of metrics.

Type: Sequence[Row]

minimums¶

If requested, the minimum values of metrics.

Type: Sequence[Row]

row_count¶

The total number of rows in the query result, regardless of the number of rows returned in the response. For example if a query returns 175 rows and includes limit = 50 in the API request, the response will contain row_count = 175 but only 50 rows.

Type: int

property_quota¶

This Analytics Property’s Realtime quota state including this request.

Type: PropertyQuota

class google.analytics.data_v1alpha.types.RunReportRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The request to generate a report.

entity¶

A property whose events are tracked. Within a batch request, this entity should either be unspecified or consistent with the batch-level entity.

Type: Entity

dimensions¶

The dimensions requested and displayed.

Type: Sequence[Dimension]

metrics¶

The metrics requested and displayed.

Type: Sequence[Metric]

date_ranges¶

Date ranges of data to read. If multiple date ranges are requested, each response row will contain a zero based date range index. If two date ranges overlap, the event data for the overlapping days is included in the response rows for both date ranges. In a cohort request, this dateRanges must be unspecified.

Type: Sequence[DateRange]

offset¶

The row count of the start row. The first row is counted as row 0.

To learn more about this pagination parameter, see Pagination.

Type: int

limit¶

The number of rows to return. If unspecified, 10 rows are returned. If -1, all rows are returned.

To learn more about this pagination parameter, see Pagination.

Type: int

metric_aggregations¶

Aggregation of metrics. Aggregated metric values will be shown in rows where the dimension_values are set to “RESERVED_(MetricAggregation)”.

Type: Sequence[MetricAggregation]

dimension_filter¶

The filter clause of dimensions. Dimensions must be requested to be used in this filter. Metrics cannot be used in this filter.

Type: FilterExpression

metric_filter¶

The filter clause of metrics. Applied at post aggregation phase, similar to SQL having-clause. Metrics must be requested to be used in this filter. Dimensions cannot be used in this filter.

Type: FilterExpression

order_bys¶

Specifies how rows are ordered in the response.

Type: Sequence[OrderBy]

currency_code¶

A currency code in ISO4217 format, such as “AED”, “USD”, “JPY”. If the field is empty, the report uses the entity’s default currency.

Type: str

cohort_spec¶

Cohort group associated with this request. If there is a cohort group in the request the ‘cohort’ dimension must be present.

Type: CohortSpec

keep_empty_rows¶

If false or unspecified, each row with all metrics equal to 0 will not be returned. If true, these rows will be returned if they are not separately removed by a filter.

Type: bool

return_property_quota¶

Toggles whether to return the current state of this Analytics Property’s quota. Quota is returned in PropertyQuota.

Type: bool

class google.analytics.data_v1alpha.types.RunReportResponse(mapping=None, *, ignore_unknown_fields=False, **kwargs)[source]¶

Bases: proto.message.Message

The response report table corresponding to a request.

dimension_headers¶

Describes dimension columns. The number of DimensionHeaders and ordering of DimensionHeaders matches the dimensions present in rows.

Type: Sequence[DimensionHeader]

metric_headers¶

Describes metric columns. The number of MetricHeaders and ordering of MetricHeaders matches the metrics present in rows.

Type: Sequence[MetricHeader]

rows¶

Rows of dimension value combinations and metric values in the report.

Type: Sequence[Row]

totals¶

If requested, the totaled values of metrics.

Type: Sequence[Row]

maximums¶

If requested, the maximum values of metrics.

Type: Sequence[Row]

minimums¶

If requested, the minimum values of metrics.

Type: Sequence[Row]

row_count¶

The total number of rows in the query result, regardless of the number of rows returned in the response. For example if a query returns 175 rows and includes limit = 50 in the API request, the response will contain row_count = 175 but only 50 rows.

To learn more about this pagination parameter, see Pagination.

Type: int

metadata¶

Metadata for the report.

Type: ResponseMetaData

property_quota¶

This Analytics Property’s quota state including this request.

Type: PropertyQuota

Types for Google Analytics Data v1alpha API¶

google-analytics-data

Navigation

Related Topics