com.google.api.services.fitness

Class Fitness.Users.DataSources.Datasets

java.lang.Object

com.google.api.services.fitness.Fitness.Users.DataSources.Datasets

Enclosing class:

Fitness.Users.DataSources

public class Fitness.Users.DataSources.Datasets
extends Object

The "datasets" collection of methods.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
class	Fitness.Users.DataSources.Datasets.Delete
class	Fitness.Users.DataSources.Datasets.Get
class	Fitness.Users.DataSources.Datasets.Patch

Constructor Summary

Constructors

Constructor and Description
Datasets()

Method Summary

Modifier and Type	Method and Description
Fitness.Users.DataSources.Datasets.Delete	delete(String userId, String dataSourceId, String datasetId) Performs an inclusive delete of all data points whose start and end times have any overlap with the time range specified by the dataset ID.
Fitness.Users.DataSources.Datasets.Get	get(String userId, String dataSourceId, String datasetId) Returns a dataset containing all data points whose start and end times overlap with the specified range of the dataset minimum start time and maximum end time.
Fitness.Users.DataSources.Datasets.Patch	patch(String userId, String dataSourceId, String datasetId, Dataset content) Adds data points to a dataset.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Datasets

public Datasets()

Method Detail

delete

public Fitness.Users.DataSources.Datasets.Delete delete(String userId,
                                                        String dataSourceId,
                                                        String datasetId)
                                                 throws IOException

Performs an inclusive delete of all data points whose start and end times have any overlap with the time range specified by the dataset ID. For most data types, the entire data point will be deleted. For data types where the time span represents a consistent value (such as com.google.activity.segment), and a data point straddles either end point of the dataset, only the overlapping portion of the data point will be deleted. Create a request for the method "datasets.delete". This request holds the parameters needed by the fitness server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

userId - Delete a dataset for the person identified. Use me to indicate the authenticated user. Only me is supported at this time.

dataSourceId - The data stream ID of the data source that created the dataset.

datasetId - Dataset identifier that is a composite of the minimum data point start time and maximum data point end time represented as nanoseconds from the epoch. The ID is formatted like: "startTime- endTime" where startTime and endTime are 64 bit integers.

Returns:

the request

Throws:

IOException

get

public Fitness.Users.DataSources.Datasets.Get get(String userId,
                                                  String dataSourceId,
                                                  String datasetId)
                                           throws IOException

Returns a dataset containing all data points whose start and end times overlap with the specified range of the dataset minimum start time and maximum end time. Specifically, any data point whose start time is less than or equal to the dataset end time and whose end time is greater than or equal to the dataset start time. Create a request for the method "datasets.get". This request holds the parameters needed by the fitness server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

userId - Retrieve a dataset for the person identified. Use me to indicate the authenticated user. Only me is supported at this time.

dataSourceId - The data stream ID of the data source that created the dataset.

datasetId - Dataset identifier that is a composite of the minimum data point start time and maximum data point end time represented as nanoseconds from the epoch. The ID is formatted like: "startTime- endTime" where startTime and endTime are 64 bit integers.

Returns:

the request

Throws:

IOException

patch

public Fitness.Users.DataSources.Datasets.Patch patch(String userId,
                                                      String dataSourceId,
                                                      String datasetId,
                                                      Dataset content)
                                               throws IOException

Adds data points to a dataset. The dataset need not be previously created. All points within the given dataset will be returned with subsquent calls to retrieve this dataset. Data points can belong to more than one dataset. This method does not use patch semantics: the data points provided are merely inserted, with no existing data replaced. Create a request for the method "datasets.patch". This request holds the parameters needed by the fitness server. After setting any optional parameters, call the AbstractGoogleClientRequest.execute() method to invoke the remote operation.

Parameters:

userId - Patch a dataset for the person identified. Use me to indicate the authenticated user. Only me is supported at this time.

dataSourceId - The data stream ID of the data source that created the dataset.

datasetId - This field is not used, and can be safely omitted.

content - the Dataset

Returns:

the request

Throws:

IOException