DataReadRequest.Builder

public static class DataReadRequest.Builder extends Object

Builder used to create new DataReadRequests.

Public Constructor Summary

Public Method Summary

DataReadRequest.Builder
addFilteredDataQualityStandard(int dataQualityStandard)
Limits results to data meeting a quality standard.
DataReadRequest.Builder
aggregate(DataSource dataSource, DataType outputDataType)
Adds a specific data source we want aggregate data from for this request and also sets the output aggregate data type that will be returned.
DataReadRequest.Builder
aggregate(DataType inputDataType, DataType outputDataType)
Adds the default data source for the given aggregate dataType to this request and sets the output aggregate data type to be returned.
DataReadRequest.Builder
bucketByActivitySegment(int minDuration, TimeUnit timeUnit, DataSource activityDataSource)
Specifies bucket type as TYPE_ACTIVITY_SEGMENT, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for the bucket.
DataReadRequest.Builder
bucketByActivitySegment(int minDuration, TimeUnit timeUnit)
Specifies bucket type as TYPE_ACTIVITY_SEGMENT, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for the bucket.
DataReadRequest.Builder
bucketByActivityType(int minDuration, TimeUnit timeUnit, DataSource activityDataSource)
Specifies bucket type as TYPE_ACTIVITY_TYPE, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for computing the buckets and sets the activity data source to be used to read activity segments from.
DataReadRequest.Builder
bucketByActivityType(int minDuration, TimeUnit timeUnit)
Specifies bucket type as TYPE_ACTIVITY_TYPE, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for computing the buckets.
DataReadRequest.Builder
bucketBySession(int minDuration, TimeUnit timeUnit)
Specifies bucket type as TYPE_SESSION and sets the minimum duration of each Session for the bucket.
DataReadRequest.Builder
bucketByTime(int duration, TimeUnit timeUnit)
Specifies bucket type as TYPE_TIME and sets the duration of each bucket.
DataReadRequest
build()
Finishes building and returns the request.
DataReadRequest.Builder
enableServerQueries()
Enable querying the Google Fit server to fetch query results, in case the local store doesn't have data for the full requested time range.
DataReadRequest.Builder
read(DataSource dataSource)
Adds a specific data source we want to read data from to this request.
DataReadRequest.Builder
read(DataType dataType)
Adds the default data source to read for the given dataType to this request.
DataReadRequest.Builder
setLimit(int limit)
Limits results to the latest limit data points.
DataReadRequest.Builder
setTimeRange(long start, long end, TimeUnit timeUnit)
Sets the time range for our query.

Inherited Method Summary

Public Constructors

public DataReadRequest.Builder ()

Public Methods

public DataReadRequest.Builder addFilteredDataQualityStandard (int dataQualityStandard)

Limits results to data meeting a quality standard. Data quality standard constants are defined in DataSource.

By default, no quality constraints are applied to data read requests. If one or more quality standards is specified, only data from devices conforming to one or more of the specified standards will be included in the results.

public DataReadRequest.Builder aggregate (DataSource dataSource, DataType outputDataType)

Adds a specific data source we want aggregate data from for this request and also sets the output aggregate data type that will be returned. For a list of valid output aggregate data types for a given input data type see getAggregatesForInput(DataType).

Aggregation should be requested in conjunction with one of the bucketing strategies: by time, session or activity. At least one valid detailed data source or aggregate data source should be specified in the request.

The resulting aggregated data can be queried via getBuckets() and getDataSet(DataType).

Parameters
dataSource the data source we're reading for aggregate data
outputDataType the output data type that will be returned in the result
Throws
IllegalStateException if the data source is already requested as detailed
IllegalArgumentException if the input data type is not supported for aggregation or if the output aggregate data type is invalid
NullPointerException if the data source is null

public DataReadRequest.Builder aggregate (DataType inputDataType, DataType outputDataType)

Adds the default data source for the given aggregate dataType to this request and sets the output aggregate data type to be returned. For a list of valid output aggregate data types for a given input data type see getAggregatesForInput(DataType).

The default data source is selected based on all available sources for the given data type, and may be averaged or filtered. Aggregation should be requested in conjunction with one of the bucketing strategy: by time, session or activity. At least one valid detailed data source or aggregate data source should be specified in the request

This method can be used instead of aggregate(DataSource, DataType) when the application is not interested in a specific data source.

The resulting aggregated data can be queried via getBuckets() and getDataSet(DataType).

Parameters
inputDataType the input data type we're aggregating
outputDataType the output data type that will be returned
Throws
IllegalStateException if the data type is already requested as detailed
IllegalArgumentException if the input data type is not supported for aggregation or if the output data type is invalid
NullPointerException if the data type is null

public DataReadRequest.Builder bucketByActivitySegment (int minDuration, TimeUnit timeUnit, DataSource activityDataSource)

Specifies bucket type as TYPE_ACTIVITY_SEGMENT, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for the bucket.

An TYPE_ACTIVITY_SEGMENT represents a continuous time interval with a single activity value. In this case, each Bucket will represent an individual activity segment which lies inside the time interval of the request. For instance, if the user had two separate activity segments for walking, one for 1km and another for 2km, the result will be two buckets one with distance value of 1km and another with distance value of 2km.

If no activity segments exist recorded for specific time intervals of the read query, a Bucket corresponding to activity type UNKNOWN will be added for each missing interval. For instance, if there is an activity segment for biking from time [20, 30] seconds and for running from time [40, 50] seconds, the result for a read query over [0, 60] will have the following buckets:

  • Bucket 1 Time Interval: [0, 20] Activity: UNKNOWN
  • Bucket 2 Time Interval: [20, 30] Activity: BIKING
  • Bucket 3 Time Interval: [30, 40] Activity: UNKNOWN
  • Bucket 4 Time Interval: [40, 50] Activity: RUNNING
  • Bucket 5 Time Interval: [50, 60] Activity: UNKNOWN

Only activity segments of duration longer than minDuration are chosen for bucketing.

The activity segments are chosen from the specified activityDataSource. To use the default activity data source, use bucketByActivitySegment(int, TimeUnit).

Detailed data of the aggregate type(s) specified in the request over time interval of each bucket will be aggregated and returned. Each bucket will have one DataSet of aggregated data for each requested aggregate DataType.

Throws
IllegalArgumentException if another bucket type is already specified in the request or if an invalid minDuration is specified

public DataReadRequest.Builder bucketByActivitySegment (int minDuration, TimeUnit timeUnit)

Specifies bucket type as TYPE_ACTIVITY_SEGMENT, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for the bucket.

An TYPE_ACTIVITY_SEGMENT represents a continuous time interval with a single activity value. In this case, each Bucket will represent an individual activity segment which lies inside the time interval of the request. For instance, if the user had two separate activity segments for walking, one for 1km and another for 2km, the result will be two buckets one with distance value of 1km and another with distance value of 2km.

If no activity segments exist recorded for specific time intervals of the read query, a Bucket corresponding to activity type UNKNOWN will be used instead. For instance, if there is an activity segment for biking from time [20, 30] seconds and for running from time [40, 50] seconds, the result for a read query over [0, 60] will have the following buckets:

  • Bucket 1 Time Interval: [0, 20] Activity: UNKNOWN
  • Bucket 2 Time Interval: [20, 30] Activity: BIKING
  • Bucket 3 Time Interval: [30, 40] Activity: UNKNOWN
  • Bucket 4 Time Interval: [40, 50] Activity: RUNNING
  • Bucket 5 Time Interval: [50, 60] Activity: UNKNOWN

Only activity segments of duration longer than minDuration are chosen for bucketing.

By default, activity segments are chosen from the default data source. To use a specific data source, use bucketByActivitySegment(int, TimeUnit, DataSource).

Detailed data of the aggregate type(s) specified in the request over time interval of each bucket will be aggregated and returned. Each bucket will have one DataSet of aggregated data for each requested aggregate DataType.

Throws
IllegalArgumentException if another bucket type is already specified in the request or if an invalid minDuration is specified

public DataReadRequest.Builder bucketByActivityType (int minDuration, TimeUnit timeUnit, DataSource activityDataSource)

Specifies bucket type as TYPE_ACTIVITY_TYPE, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for computing the buckets and sets the activity data source to be used to read activity segments from.

In this case, each Bucket will represent an activity type, and be comprised of aggregated data over all individual activity segments of this activity which lie inside the time interval of the request. For instance, if the user had two separate activity segments of walking during the time interval, one for a distance of 1km and another for a distance of 2km, the result will be one activity bucket with a single aggregate data point for distance with a value of 3km.

If no activity segments are recorded for specific time intervals of the read query, segments of type UNKNOWN will be added for these intervals and used to compute an aggregate bucket of activity type Unknown.

Only activity segments of duration longer than minDuration are chosen for bucketing.

The activity segments are chosen from the specified activityDataSource. To use the default activity segment data source use bucketByActivityType(int, TimeUnit).

Detailed data of the aggregate type(s) specified in the request over time interval of each bucket will be aggregated and returned. Each bucket will have one DataSet of aggregated data for each requested aggregate DataType.

Throws
IllegalArgumentException if another bucket type is already specified in the request or if an invalid minDuration is specified or if an invalid activity data source is specified.

public DataReadRequest.Builder bucketByActivityType (int minDuration, TimeUnit timeUnit)

Specifies bucket type as TYPE_ACTIVITY_TYPE, sets the minimum duration of each TYPE_ACTIVITY_SEGMENT for computing the buckets.

In this case, each Bucket will represent an activity type, and be comprised of aggregated data over all individual activity segments of this activity which lie inside the time interval of the request. For instance, if the user had two separate activity segments of walking during the time interval, one for a distance of 1km and another for a distance of 2km, the result will be one activity bucket with a single aggregate data point for distance with a value of 3km.

If no activity segments are recorded for specific time intervals of the read query, segments of type UNKNOWN will be added for these intervals and used to compute an aggregate bucket of activity type Unknown.

Only activity segments of duration longer than minDuration are chosen for bucketing.

By default, activity segments are chosen from the default data source. To use a specific data source, use bucketByActivitySegment(int, TimeUnit, DataSource).

Detailed data of the aggregate type(s) specified in the request over time interval of each bucket will be aggregated and returned. Each bucket will have one DataSet of aggregated data for each requested aggregate DataType.

Throws
IllegalArgumentException if another bucket type is already specified in the request or if an invalid minDuration is specified.

public DataReadRequest.Builder bucketBySession (int minDuration, TimeUnit timeUnit)

Specifies bucket type as TYPE_SESSION and sets the minimum duration of each Session for the bucket.

A Session represents a time interval with associate meta data to store user-visible groups of related data. In this case, each bucket will signify a session which lies inside the time interval of the request.

Detailed data of the aggregate type(s) specified in the request over time interval of each bucket will be aggregated and returned. Each bucket will have one DataSet of aggregated data for each requested aggregate DataType..

Throws
IllegalArgumentException if another bucket type is already specified in the request or if an invalid minDuration is specified

public DataReadRequest.Builder bucketByTime (int duration, TimeUnit timeUnit)

Specifies bucket type as TYPE_TIME and sets the duration of each bucket.

The detailed data from the Google Fit store across the time interval of the request is divided into sub-intervals of length duration, and aggregation is then performed over each sub-interval to return one Bucket of aggregated data per sub-interval.

Aggregation is performed for data type(s) specified in the request. Each bucket will have one DataSet of aggregated data per requested aggregate DataType.

Throws
IllegalArgumentException if another bucket type is already specified in the request or if an invalid duration is specified.

public DataReadRequest build ()

Finishes building and returns the request.

Throws
IllegalStateException if the builder doesn't have enough state to create a valid request

public DataReadRequest.Builder enableServerQueries ()

Enable querying the Google Fit server to fetch query results, in case the local store doesn't have data for the full requested time range. Server results will be combined with local results into one DataSet.

Note that querying the server adds latency, specially under poor network conditions. Also note that attempting to query the server when there is no network connection may result in a transient error. Server queries are off by default.

public DataReadRequest.Builder read (DataSource dataSource)

Adds a specific data source we want to read data from to this request. At least one valid detailed data source or aggregate data source should be specified in the request.

The resulting unaggregated data can be queried via getDataSet(DataSource).

Parameters
dataSource the data source we're reading
Throws
IllegalArgumentException if the data source is already requested as aggregate
NullPointerException if the data source is null

public DataReadRequest.Builder read (DataType dataType)

Adds the default data source to read for the given dataType to this request. The default data source is selected based on all available sources for the given data type, and may be averaged or filtered. At least one valid detailed data source or aggregate data source should be specified in the request.

This method can be used instead of read(DataSource) when the application is not interested in a specific data source.

The resulting unaggregated data can be queried via getDataSet(DataType).

Parameters
dataType the data type we're reading
Throws
IllegalStateException if the data type is already requested as aggregate
NullPointerException if the data type is null

public DataReadRequest.Builder setLimit (int limit)

Limits results to the latest limit data points. This parameter is ignored for aggregated queries. By default there is no limit.

This method is useful to reduce the amount of sent data as well as to support scenarios like requesting the current weight or height (use setLimit(1) to get the latest value).

public DataReadRequest.Builder setTimeRange (long start, long end, TimeUnit timeUnit)

Sets the time range for our query. Defined start and end times are required for every read query.

Parameters
start a start time, in the given unit since epoch, inclusive
end an end time, in the given unit since epoch, inclusive
timeUnit the unit of the start and end timestamps