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.

DataPointsService

class google.devicesandservices.health_v4.services.data_points_service.DataPointsServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport, typing.Callable[[...], google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

Data Points Service exposing the user’s health and fitness measured and derived data.

Instantiates the data points service async client.

Parameters
  • credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

  • transport (Optional[Union[str,DataPointsServiceTransport,Callable[..., DataPointsServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the DataPointsServiceTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint: str

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

async batch_delete_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.BatchDeleteDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.api_core.operation_async.AsyncOperation[source]

Delete a batch of identifyable data points.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_batch_delete_data_points():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.BatchDeleteDataPointsRequest(
        names=['names_value1', 'names_value2'],
    )

    # Make the request
    operation = await client.batch_delete_data_points(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.BatchDeleteDataPointsRequest, dict]]) – The request object. Request to delete a batch of identifiable data points.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

An object representing a long-running operation.

The result type for the operation will be google.devicesandservices.health_v4.types.BatchDeleteDataPointsResponse Response containing the list of possibly soft-deleted DataPoints.

Return type

google.api_core.operation_async.AsyncOperation

static common_billing_account_path(billing_account: str) str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) str

Returns a fully-qualified location string.

static common_organization_path(organization: str) str

Returns a fully-qualified organization string.

static common_project_path(project: str) str

Returns a fully-qualified project string.

async create_data_point(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.CreateDataPointRequest, dict]] = None, *, parent: Optional[str] = None, data_point: Optional[google.devicesandservices.health_v4.types.data_points.DataPoint] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.api_core.operation_async.AsyncOperation[source]

Creates a single identifiable data point.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_create_data_point():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.CreateDataPointRequest(
        parent="parent_value",
    )

    # Make the request
    operation = await client.create_data_point(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.CreateDataPointRequest, dict]]) – The request object. Request to create an identifiable data point.

  • parent (str) –

    Required. The parent resource name where the data point will be created. Format: users/{user}/dataTypes/{data_type}

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • data_point (google.devicesandservices.health_v4.types.DataPoint) – Required. The data point to create. This corresponds to the data_point field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

An object representing a long-running operation.

The result type for the operation will be google.devicesandservices.health_v4.types.DataPoint A computed or recorded metric.

Return type

google.api_core.operation_async.AsyncOperation

async daily_roll_up_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.DailyRollUpDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.types.data_points.DailyRollUpDataPointsResponse[source]

Roll up data points over civil time intervals for supported data types.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_daily_roll_up_data_points():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.DailyRollUpDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.daily_roll_up_data_points(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.DailyRollUpDataPointsRequest, dict]]) – The request object. Request to roll up data points by civil time intervals.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing the list of rolled up data points.

Return type

google.devicesandservices.health_v4.types.DailyRollUpDataPointsResponse

static data_point_path(user: str, data_type: str, data_point: str) str

Returns a fully-qualified data_point string.

static data_type_path(user: str, data_type: str) str

Returns a fully-qualified data_type string.

async export_exercise_tcx(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.ExportExerciseTcxRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.types.data_points.ExportExerciseTcxResponse[source]

Exports exercise data in TCX format.

IMPORTANT: HTTP clients must append ?alt=media to the request URL to download the raw TCX file.

Example: https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media

Without alt=media, the server returns a JSON response (ExportExerciseTcxResponse) which is intended primarily for gRPC clients.

Note: While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the activity_and_fitness scopes (normal or readonly) AND one of the location scopes (normal or readonly) in their access token to succeed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_export_exercise_tcx():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.ExportExerciseTcxRequest(
        name="name_value",
    )

    # Make the request
    response = await client.export_exercise_tcx(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.ExportExerciseTcxRequest, dict]]) – The request object. Represents a request to export exercise data in TCX format.

  • name (str) –

    Required. The resource name of the exercise data point to export.

    Format: users/{user}/dataTypes/exercise/dataPoints/{data_point} Example: users/me/dataTypes/exercise/dataPoints/2026443605080188808

    The {user} is the alias "me" currently. Future versions may support user IDs. The {data_point} ID maps to the exercise ID, which is a long integer.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Represents a Response for exporting exercise data in TCX format.

Return type

google.devicesandservices.health_v4.types.ExportExerciseTcxResponse

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataPointsServiceAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters
  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataPointsServiceAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataPointsServiceAsyncClient

async get_data_point(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.GetDataPointRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.types.data_points.DataPoint[source]

Get a single identifyable data point.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_get_data_point():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.GetDataPointRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_data_point(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.GetDataPointRequest, dict]]) – The request object. Request for getting a single data point

  • name (str) –

    Required. The name of the data point to retrieve.

    Format: users/{user}/dataTypes/{data_type}/dataPoints/{data_point}

    See [DataPoint.name][google.devicesandservices.health.v4.DataPoint.name] for examples and possible values.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

A computed or recorded metric.

Return type

google.devicesandservices.health_v4.types.DataPoint

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

classmethod get_transport_class(label: Optional[str] = None) Type[google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport]

Returns an appropriate transport class.

Parameters

label – The name of the desired transport. If none is provided, then the first transport in the registry is used.

Returns

The transport class to use.

async list_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.ListDataPointsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.services.data_points_service.pagers.ListDataPointsAsyncPager[source]

Query user health and fitness data points.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_list_data_points():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.ListDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_data_points(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.ListDataPointsRequest, dict]]) – The request object. Request for listing raw data points

  • parent (str) –

    Required. Parent data type of the Data Point collection.

    Format: users/me/dataTypes/{data_type}, e.g.:

    • users/me/dataTypes/steps

    • users/me/dataTypes/weight

    For a list of the supported data types see the [DataPoint data][google.devicesandservices.health.v4.DataPoint] union field.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing raw data points matching the query Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.devicesandservices.health_v4.services.data_points_service.pagers.ListDataPointsAsyncPager

static parse_common_billing_account_path(path: str) Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) Dict[str, str]

Parse a project path into its component segments.

static parse_data_point_path(path: str) Dict[str, str]

Parses a data_point path into its component segments.

static parse_data_type_path(path: str) Dict[str, str]

Parses a data_type path into its component segments.

async reconcile_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.services.data_points_service.pagers.ReconcileDataPointsAsyncPager[source]

Reconcile data points from multiple data sources into a single data stream.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_reconcile_data_points():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.ReconcileDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.reconcile_data_points(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.ReconcileDataPointsRequest, dict]]) – The request object. Request to reconcile data points from multiple data sources.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing the list of reconciled DataPoints. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.devicesandservices.health_v4.services.data_points_service.pagers.ReconcileDataPointsAsyncPager

async roll_up_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.RollUpDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.services.data_points_service.pagers.RollUpDataPointsAsyncPager[source]

Roll up data points over physical time intervals for supported data types.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_roll_up_data_points():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.RollUpDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.roll_up_data_points(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.RollUpDataPointsRequest, dict]]) – The request object. Request to roll up data points by physical time intervals.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing the list of rolled up data points. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.devicesandservices.health_v4.services.data_points_service.pagers.RollUpDataPointsAsyncPager

property transport: google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

DataPointsServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used

by the client instance.

Return type

str

async update_data_point(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.UpdateDataPointRequest, dict]] = None, *, data_point: Optional[google.devicesandservices.health_v4.types.data_points.DataPoint] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.api_core.operation_async.AsyncOperation[source]

Updates a single identifiable data point. If a data point with the specified name is not found, the request will fail.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

async def sample_update_data_point():
    # Create a client
    client = health_v4.DataPointsServiceAsyncClient()

    # Initialize request argument(s)
    request = health_v4.UpdateDataPointRequest(
    )

    # Make the request
    operation = await client.update_data_point(request=request)

    print("Waiting for operation to complete...")

    response = await operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.devicesandservices.health_v4.types.UpdateDataPointRequest, dict]]) – The request object. Request to update an identifiable data point.

  • data_point (google.devicesandservices.health_v4.types.DataPoint) –

    Required. The data point to update

    The data point’s name field is used to identify the data point to update.

    Format: users/{user}/dataTypes/{data_type}/dataPoints/{data_point}

    This corresponds to the data_point field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

An object representing a long-running operation.

The result type for the operation will be google.devicesandservices.health_v4.types.DataPoint A computed or recorded metric.

Return type

google.api_core.operation_async.AsyncOperation

class google.devicesandservices.health_v4.services.data_points_service.DataPointsServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport, typing.Callable[[...], google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

Data Points Service exposing the user’s health and fitness measured and derived data.

Instantiates the data points service client.

Parameters
  • credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

  • transport (Optional[Union[str,DataPointsServiceTransport,Callable[..., DataPointsServiceTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the DataPointsServiceTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint: str

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

batch_delete_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.BatchDeleteDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.api_core.operation.Operation[source]

Delete a batch of identifyable data points.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_batch_delete_data_points():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.BatchDeleteDataPointsRequest(
        names=['names_value1', 'names_value2'],
    )

    # Make the request
    operation = client.batch_delete_data_points(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.BatchDeleteDataPointsRequest, dict]) – The request object. Request to delete a batch of identifiable data points.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

An object representing a long-running operation.

The result type for the operation will be google.devicesandservices.health_v4.types.BatchDeleteDataPointsResponse Response containing the list of possibly soft-deleted DataPoints.

Return type

google.api_core.operation.Operation

static common_billing_account_path(billing_account: str) str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str) str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) str[source]

Returns a fully-qualified project string.

create_data_point(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.CreateDataPointRequest, dict]] = None, *, parent: Optional[str] = None, data_point: Optional[google.devicesandservices.health_v4.types.data_points.DataPoint] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.api_core.operation.Operation[source]

Creates a single identifiable data point.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_create_data_point():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.CreateDataPointRequest(
        parent="parent_value",
    )

    # Make the request
    operation = client.create_data_point(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.CreateDataPointRequest, dict]) – The request object. Request to create an identifiable data point.

  • parent (str) –

    Required. The parent resource name where the data point will be created. Format: users/{user}/dataTypes/{data_type}

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • data_point (google.devicesandservices.health_v4.types.DataPoint) – Required. The data point to create. This corresponds to the data_point field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

An object representing a long-running operation.

The result type for the operation will be google.devicesandservices.health_v4.types.DataPoint A computed or recorded metric.

Return type

google.api_core.operation.Operation

daily_roll_up_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.DailyRollUpDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.types.data_points.DailyRollUpDataPointsResponse[source]

Roll up data points over civil time intervals for supported data types.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_daily_roll_up_data_points():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.DailyRollUpDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.daily_roll_up_data_points(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.DailyRollUpDataPointsRequest, dict]) – The request object. Request to roll up data points by civil time intervals.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing the list of rolled up data points.

Return type

google.devicesandservices.health_v4.types.DailyRollUpDataPointsResponse

static data_point_path(user: str, data_type: str, data_point: str) str[source]

Returns a fully-qualified data_point string.

static data_type_path(user: str, data_type: str) str[source]

Returns a fully-qualified data_type string.

export_exercise_tcx(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.ExportExerciseTcxRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.types.data_points.ExportExerciseTcxResponse[source]

Exports exercise data in TCX format.

IMPORTANT: HTTP clients must append ?alt=media to the request URL to download the raw TCX file.

Example: https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media

Without alt=media, the server returns a JSON response (ExportExerciseTcxResponse) which is intended primarily for gRPC clients.

Note: While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the activity_and_fitness scopes (normal or readonly) AND one of the location scopes (normal or readonly) in their access token to succeed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_export_exercise_tcx():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.ExportExerciseTcxRequest(
        name="name_value",
    )

    # Make the request
    response = client.export_exercise_tcx(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.ExportExerciseTcxRequest, dict]) – The request object. Represents a request to export exercise data in TCX format.

  • name (str) –

    Required. The resource name of the exercise data point to export.

    Format: users/{user}/dataTypes/exercise/dataPoints/{data_point} Example: users/me/dataTypes/exercise/dataPoints/2026443605080188808

    The {user} is the alias "me" currently. Future versions may support user IDs. The {data_point} ID maps to the exercise ID, which is a long integer.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Represents a Response for exporting exercise data in TCX format.

Return type

google.devicesandservices.health_v4.types.ExportExerciseTcxResponse

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataPointsServiceClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters
  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataPointsServiceClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters
  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

DataPointsServiceClient

get_data_point(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.GetDataPointRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.types.data_points.DataPoint[source]

Get a single identifyable data point.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_get_data_point():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.GetDataPointRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_data_point(request=request)

    # Handle the response
    print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.GetDataPointRequest, dict]) – The request object. Request for getting a single data point

  • name (str) –

    Required. The name of the data point to retrieve.

    Format: users/{user}/dataTypes/{data_type}/dataPoints/{data_point}

    See [DataPoint.name][google.devicesandservices.health.v4.DataPoint.name] for examples and possible values.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

A computed or recorded metric.

Return type

google.devicesandservices.health_v4.types.DataPoint

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

list_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.ListDataPointsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.services.data_points_service.pagers.ListDataPointsPager[source]

Query user health and fitness data points.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_list_data_points():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.ListDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_data_points(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.ListDataPointsRequest, dict]) – The request object. Request for listing raw data points

  • parent (str) –

    Required. Parent data type of the Data Point collection.

    Format: users/me/dataTypes/{data_type}, e.g.:

    • users/me/dataTypes/steps

    • users/me/dataTypes/weight

    For a list of the supported data types see the [DataPoint data][google.devicesandservices.health.v4.DataPoint] union field.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing raw data points matching the query Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.devicesandservices.health_v4.services.data_points_service.pagers.ListDataPointsPager

static parse_common_billing_account_path(path: str) Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) Dict[str, str][source]

Parse a project path into its component segments.

static parse_data_point_path(path: str) Dict[str, str][source]

Parses a data_point path into its component segments.

static parse_data_type_path(path: str) Dict[str, str][source]

Parses a data_type path into its component segments.

reconcile_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.services.data_points_service.pagers.ReconcileDataPointsPager[source]

Reconcile data points from multiple data sources into a single data stream.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_reconcile_data_points():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.ReconcileDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.reconcile_data_points(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.ReconcileDataPointsRequest, dict]) – The request object. Request to reconcile data points from multiple data sources.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing the list of reconciled DataPoints. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.devicesandservices.health_v4.services.data_points_service.pagers.ReconcileDataPointsPager

roll_up_data_points(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.RollUpDataPointsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.devicesandservices.health_v4.services.data_points_service.pagers.RollUpDataPointsPager[source]

Roll up data points over physical time intervals for supported data types.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_roll_up_data_points():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.RollUpDataPointsRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.roll_up_data_points(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.RollUpDataPointsRequest, dict]) – The request object. Request to roll up data points by physical time intervals.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

Response containing the list of rolled up data points. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.devicesandservices.health_v4.services.data_points_service.pagers.RollUpDataPointsPager

property transport: google.devicesandservices.health_v4.services.data_points_service.transports.base.DataPointsServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

DataPointsServiceTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used by the client instance.

Return type

str

update_data_point(request: Optional[Union[google.devicesandservices.health_v4.types.data_points.UpdateDataPointRequest, dict]] = None, *, data_point: Optional[google.devicesandservices.health_v4.types.data_points.DataPoint] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ()) google.api_core.operation.Operation[source]

Updates a single identifiable data point. If a data point with the specified name is not found, the request will fail.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.devicesandservices import health_v4

def sample_update_data_point():
    # Create a client
    client = health_v4.DataPointsServiceClient()

    # Initialize request argument(s)
    request = health_v4.UpdateDataPointRequest(
    )

    # Make the request
    operation = client.update_data_point(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
  • request (Union[google.devicesandservices.health_v4.types.UpdateDataPointRequest, dict]) – The request object. Request to update an identifiable data point.

  • data_point (google.devicesandservices.health_v4.types.DataPoint) –

    Required. The data point to update

    The data point’s name field is used to identify the data point to update.

    Format: users/{user}/dataTypes/{data_type}/dataPoints/{data_point}

    This corresponds to the data_point field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, Union[str, bytes]]]) – Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns

An object representing a long-running operation.

The result type for the operation will be google.devicesandservices.health_v4.types.DataPoint A computed or recorded metric.

Return type

google.api_core.operation.Operation

class google.devicesandservices.health_v4.services.data_points_service.pagers.ListDataPointsAsyncPager(method: Callable[[...], Awaitable[google.devicesandservices.health_v4.types.data_points.ListDataPointsResponse]], request: google.devicesandservices.health_v4.types.data_points.ListDataPointsRequest, response: google.devicesandservices.health_v4.types.data_points.ListDataPointsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ())[source]

A pager for iterating through list_data_points requests.

This class thinly wraps an initial google.devicesandservices.health_v4.types.ListDataPointsResponse object, and provides an __aiter__ method to iterate through its data_points field.

If there are more pages, the __aiter__ method will make additional ListDataPoints requests and continue to iterate through the data_points field on the corresponding responses.

All the usual google.devicesandservices.health_v4.types.ListDataPointsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.devicesandservices.health_v4.services.data_points_service.pagers.ListDataPointsPager(method: Callable[[...], google.devicesandservices.health_v4.types.data_points.ListDataPointsResponse], request: google.devicesandservices.health_v4.types.data_points.ListDataPointsRequest, response: google.devicesandservices.health_v4.types.data_points.ListDataPointsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ())[source]

A pager for iterating through list_data_points requests.

This class thinly wraps an initial google.devicesandservices.health_v4.types.ListDataPointsResponse object, and provides an __iter__ method to iterate through its data_points field.

If there are more pages, the __iter__ method will make additional ListDataPoints requests and continue to iterate through the data_points field on the corresponding responses.

All the usual google.devicesandservices.health_v4.types.ListDataPointsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.devicesandservices.health_v4.services.data_points_service.pagers.ReconcileDataPointsAsyncPager(method: Callable[[...], Awaitable[google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsResponse]], request: google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsRequest, response: google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ())[source]

A pager for iterating through reconcile_data_points requests.

This class thinly wraps an initial google.devicesandservices.health_v4.types.ReconcileDataPointsResponse object, and provides an __aiter__ method to iterate through its data_points field.

If there are more pages, the __aiter__ method will make additional ReconcileDataPoints requests and continue to iterate through the data_points field on the corresponding responses.

All the usual google.devicesandservices.health_v4.types.ReconcileDataPointsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.devicesandservices.health_v4.services.data_points_service.pagers.ReconcileDataPointsPager(method: Callable[[...], google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsResponse], request: google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsRequest, response: google.devicesandservices.health_v4.types.data_points.ReconcileDataPointsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ())[source]

A pager for iterating through reconcile_data_points requests.

This class thinly wraps an initial google.devicesandservices.health_v4.types.ReconcileDataPointsResponse object, and provides an __iter__ method to iterate through its data_points field.

If there are more pages, the __iter__ method will make additional ReconcileDataPoints requests and continue to iterate through the data_points field on the corresponding responses.

All the usual google.devicesandservices.health_v4.types.ReconcileDataPointsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.devicesandservices.health_v4.services.data_points_service.pagers.RollUpDataPointsAsyncPager(method: Callable[[...], Awaitable[google.devicesandservices.health_v4.types.data_points.RollUpDataPointsResponse]], request: google.devicesandservices.health_v4.types.data_points.RollUpDataPointsRequest, response: google.devicesandservices.health_v4.types.data_points.RollUpDataPointsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ())[source]

A pager for iterating through roll_up_data_points requests.

This class thinly wraps an initial google.devicesandservices.health_v4.types.RollUpDataPointsResponse object, and provides an __aiter__ method to iterate through its rollup_data_points field.

If there are more pages, the __aiter__ method will make additional RollUpDataPoints requests and continue to iterate through the rollup_data_points field on the corresponding responses.

All the usual google.devicesandservices.health_v4.types.RollUpDataPointsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.devicesandservices.health_v4.services.data_points_service.pagers.RollUpDataPointsPager(method: Callable[[...], google.devicesandservices.health_v4.types.data_points.RollUpDataPointsResponse], request: google.devicesandservices.health_v4.types.data_points.RollUpDataPointsRequest, response: google.devicesandservices.health_v4.types.data_points.RollUpDataPointsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, Union[str, bytes]]] = ())[source]

A pager for iterating through roll_up_data_points requests.

This class thinly wraps an initial google.devicesandservices.health_v4.types.RollUpDataPointsResponse object, and provides an __iter__ method to iterate through its rollup_data_points field.

If there are more pages, the __iter__ method will make additional RollUpDataPoints requests and continue to iterate through the rollup_data_points field on the corresponding responses.

All the usual google.devicesandservices.health_v4.types.RollUpDataPointsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters