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.

QuestionService

class google.cloud.dataqna_v1alpha.services.question_service.QuestionServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport, typing.Callable[[...], google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport]]] = '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]

Service to interpret natural language queries. The service allows to create Question resources that are interpreted and are filled with one or more interpretations if the question could be interpreted. Once a Question resource is created and has at least one interpretation, an interpretation can be chosen for execution, which triggers a query to the backend (for BigQuery, it will create a job). Upon successful execution of that interpretation, backend specific information will be returned so that the client can retrieve the results from the backend.

The Question resources are named projects/*/locations/*/questions/*.

The Question resource has a singletion sub-resource UserFeedback named projects/*/locations/*/questions/*/userFeedback, which allows access to user feedback.

Instantiates the question 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,QuestionServiceTransport,Callable[..., QuestionServiceTransport]]]) – 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 QuestionServiceTransport constructor. If set to None, a transport is chosen automatically. NOTE: “rest” transport functionality is currently in a beta state (preview). We welcome your feedback via an issue in this library’s source repository.

  • 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

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

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_question(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.CreateQuestionRequest, dict]] = None, *, parent: Optional[str] = None, question: Optional[google.cloud.dataqna_v1alpha.types.question.Question] = 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, str]] = ()) google.cloud.dataqna_v1alpha.types.question.Question[source]

Creates a question.

# 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.cloud import dataqna_v1alpha

async def sample_create_question():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceAsyncClient()

    # Initialize request argument(s)
    question = dataqna_v1alpha.Question()
    question.scopes = ['scopes_value1', 'scopes_value2']
    question.query = "query_value"

    request = dataqna_v1alpha.CreateQuestionRequest(
        parent="parent_value",
        question=question,
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataqna_v1alpha.types.CreateQuestionRequest, dict]]) – The request object. Request to create a question resource.

  • parent (str) –

    Required. The name of the project this data source reference belongs to. Example: projects/foo/locations/bar

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

  • question (google.cloud.dataqna_v1alpha.types.Question) – Required. The question to create. This corresponds to the question 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The question resource represents a natural language query, its settings, understanding generated by the system, and answer retrieval status. A question cannot be modified.

Return type

google.cloud.dataqna_v1alpha.types.Question

async execute_question(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.ExecuteQuestionRequest, dict]] = None, *, name: Optional[str] = None, interpretation_index: Optional[int] = 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, str]] = ()) google.cloud.dataqna_v1alpha.types.question.Question[source]

Executes an interpretation.

# 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.cloud import dataqna_v1alpha

async def sample_execute_question():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceAsyncClient()

    # Initialize request argument(s)
    request = dataqna_v1alpha.ExecuteQuestionRequest(
        name="name_value",
        interpretation_index=2159,
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataqna_v1alpha.types.ExecuteQuestionRequest, dict]]) – The request object. Request to execute an interpretation.

  • name (str) –

    Required. The unique identifier for the question. Example: projects/foo/locations/bar/questions/1234

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

  • interpretation_index (int) –

    Required. Index of the interpretation to execute.

    This corresponds to the interpretation_index 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The question resource represents a natural language query, its settings, understanding generated by the system, and answer retrieval status. A question cannot be modified.

Return type

google.cloud.dataqna_v1alpha.types.Question

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

QuestionServiceAsyncClient

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

QuestionServiceAsyncClient

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

QuestionServiceAsyncClient

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.

async get_question(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.GetQuestionRequest, 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, str]] = ()) google.cloud.dataqna_v1alpha.types.question.Question[source]

Gets a previously created question.

# 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.cloud import dataqna_v1alpha

async def sample_get_question():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceAsyncClient()

    # Initialize request argument(s)
    request = dataqna_v1alpha.GetQuestionRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataqna_v1alpha.types.GetQuestionRequest, dict]]) – The request object. A request to get a previously created question.

  • name (str) –

    Required. The unique identifier for the question. Example: projects/foo/locations/bar/questions/1234

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The question resource represents a natural language query, its settings, understanding generated by the system, and answer retrieval status. A question cannot be modified.

Return type

google.cloud.dataqna_v1alpha.types.Question

classmethod get_transport_class(label: Optional[str] = None) Type[google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport]

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 get_user_feedback(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.GetUserFeedbackRequest, 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, str]] = ()) google.cloud.dataqna_v1alpha.types.user_feedback.UserFeedback[source]

Gets previously created user feedback.

# 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.cloud import dataqna_v1alpha

async def sample_get_user_feedback():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceAsyncClient()

    # Initialize request argument(s)
    request = dataqna_v1alpha.GetUserFeedbackRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataqna_v1alpha.types.GetUserFeedbackRequest, dict]]) – The request object. Request to get user feedback.

  • name (str) –

    Required. The unique identifier for the user feedback. User feedback is a singleton resource on a Question. Example: projects/foo/locations/bar/questions/1234/userFeedback

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Feedback provided by a user.

Return type

google.cloud.dataqna_v1alpha.types.UserFeedback

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_question_path(path: str) Dict[str, str]

Parses a question path into its component segments.

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

Parses a user_feedback path into its component segments.

static question_path(project: str, location: str, question: str) str

Returns a fully-qualified question string.

property transport: google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

QuestionServiceTransport

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_user_feedback(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.UpdateUserFeedbackRequest, dict]] = None, *, user_feedback: Optional[google.cloud.dataqna_v1alpha.types.user_feedback.UserFeedback] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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, str]] = ()) google.cloud.dataqna_v1alpha.types.user_feedback.UserFeedback[source]

Updates user feedback. This creates user feedback if there was none before (upsert).

# 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.cloud import dataqna_v1alpha

async def sample_update_user_feedback():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceAsyncClient()

    # Initialize request argument(s)
    user_feedback = dataqna_v1alpha.UserFeedback()
    user_feedback.name = "name_value"

    request = dataqna_v1alpha.UpdateUserFeedbackRequest(
        user_feedback=user_feedback,
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Optional[Union[google.cloud.dataqna_v1alpha.types.UpdateUserFeedbackRequest, dict]]) – The request object. Request to updates user feedback.

  • user_feedback (google.cloud.dataqna_v1alpha.types.UserFeedback) –

    Required. The user feedback to update. This can be called even if there is no user feedback so far. The feedback’s name field is used to identify the user feedback (and the corresponding question) to update.

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

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) – The list of fields to be updated. This corresponds to the update_mask 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Feedback provided by a user.

Return type

google.cloud.dataqna_v1alpha.types.UserFeedback

static user_feedback_path(project: str, location: str, question: str) str

Returns a fully-qualified user_feedback string.

class google.cloud.dataqna_v1alpha.services.question_service.QuestionServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport, typing.Callable[[...], google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport]]] = 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]

Service to interpret natural language queries. The service allows to create Question resources that are interpreted and are filled with one or more interpretations if the question could be interpreted. Once a Question resource is created and has at least one interpretation, an interpretation can be chosen for execution, which triggers a query to the backend (for BigQuery, it will create a job). Upon successful execution of that interpretation, backend specific information will be returned so that the client can retrieve the results from the backend.

The Question resources are named projects/*/locations/*/questions/*.

The Question resource has a singletion sub-resource UserFeedback named projects/*/locations/*/questions/*/userFeedback, which allows access to user feedback.

Instantiates the question 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,QuestionServiceTransport,Callable[..., QuestionServiceTransport]]]) – 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 QuestionServiceTransport constructor. If set to None, a transport is chosen automatically. NOTE: “rest” transport functionality is currently in a beta state (preview). We welcome your feedback via an issue in this library’s source repository.

  • 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

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

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_question(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.CreateQuestionRequest, dict]] = None, *, parent: Optional[str] = None, question: Optional[google.cloud.dataqna_v1alpha.types.question.Question] = 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, str]] = ()) google.cloud.dataqna_v1alpha.types.question.Question[source]

Creates a question.

# 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.cloud import dataqna_v1alpha

def sample_create_question():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceClient()

    # Initialize request argument(s)
    question = dataqna_v1alpha.Question()
    question.scopes = ['scopes_value1', 'scopes_value2']
    question.query = "query_value"

    request = dataqna_v1alpha.CreateQuestionRequest(
        parent="parent_value",
        question=question,
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataqna_v1alpha.types.CreateQuestionRequest, dict]) – The request object. Request to create a question resource.

  • parent (str) –

    Required. The name of the project this data source reference belongs to. Example: projects/foo/locations/bar

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

  • question (google.cloud.dataqna_v1alpha.types.Question) – Required. The question to create. This corresponds to the question 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The question resource represents a natural language query, its settings, understanding generated by the system, and answer retrieval status. A question cannot be modified.

Return type

google.cloud.dataqna_v1alpha.types.Question

execute_question(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.ExecuteQuestionRequest, dict]] = None, *, name: Optional[str] = None, interpretation_index: Optional[int] = 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, str]] = ()) google.cloud.dataqna_v1alpha.types.question.Question[source]

Executes an interpretation.

# 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.cloud import dataqna_v1alpha

def sample_execute_question():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceClient()

    # Initialize request argument(s)
    request = dataqna_v1alpha.ExecuteQuestionRequest(
        name="name_value",
        interpretation_index=2159,
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataqna_v1alpha.types.ExecuteQuestionRequest, dict]) – The request object. Request to execute an interpretation.

  • name (str) –

    Required. The unique identifier for the question. Example: projects/foo/locations/bar/questions/1234

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

  • interpretation_index (int) –

    Required. Index of the interpretation to execute.

    This corresponds to the interpretation_index 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The question resource represents a natural language query, its settings, understanding generated by the system, and answer retrieval status. A question cannot be modified.

Return type

google.cloud.dataqna_v1alpha.types.Question

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

QuestionServiceClient

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

QuestionServiceClient

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

QuestionServiceClient

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.

get_question(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.GetQuestionRequest, 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, str]] = ()) google.cloud.dataqna_v1alpha.types.question.Question[source]

Gets a previously created question.

# 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.cloud import dataqna_v1alpha

def sample_get_question():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceClient()

    # Initialize request argument(s)
    request = dataqna_v1alpha.GetQuestionRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataqna_v1alpha.types.GetQuestionRequest, dict]) – The request object. A request to get a previously created question.

  • name (str) –

    Required. The unique identifier for the question. Example: projects/foo/locations/bar/questions/1234

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The question resource represents a natural language query, its settings, understanding generated by the system, and answer retrieval status. A question cannot be modified.

Return type

google.cloud.dataqna_v1alpha.types.Question

get_user_feedback(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.GetUserFeedbackRequest, 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, str]] = ()) google.cloud.dataqna_v1alpha.types.user_feedback.UserFeedback[source]

Gets previously created user feedback.

# 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.cloud import dataqna_v1alpha

def sample_get_user_feedback():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceClient()

    # Initialize request argument(s)
    request = dataqna_v1alpha.GetUserFeedbackRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataqna_v1alpha.types.GetUserFeedbackRequest, dict]) – The request object. Request to get user feedback.

  • name (str) –

    Required. The unique identifier for the user feedback. User feedback is a singleton resource on a Question. Example: projects/foo/locations/bar/questions/1234/userFeedback

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Feedback provided by a user.

Return type

google.cloud.dataqna_v1alpha.types.UserFeedback

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_question_path(path: str) Dict[str, str][source]

Parses a question path into its component segments.

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

Parses a user_feedback path into its component segments.

static question_path(project: str, location: str, question: str) str[source]

Returns a fully-qualified question string.

property transport: google.cloud.dataqna_v1alpha.services.question_service.transports.base.QuestionServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

QuestionServiceTransport

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_user_feedback(request: Optional[Union[google.cloud.dataqna_v1alpha.types.question_service.UpdateUserFeedbackRequest, dict]] = None, *, user_feedback: Optional[google.cloud.dataqna_v1alpha.types.user_feedback.UserFeedback] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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, str]] = ()) google.cloud.dataqna_v1alpha.types.user_feedback.UserFeedback[source]

Updates user feedback. This creates user feedback if there was none before (upsert).

# 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.cloud import dataqna_v1alpha

def sample_update_user_feedback():
    # Create a client
    client = dataqna_v1alpha.QuestionServiceClient()

    # Initialize request argument(s)
    user_feedback = dataqna_v1alpha.UserFeedback()
    user_feedback.name = "name_value"

    request = dataqna_v1alpha.UpdateUserFeedbackRequest(
        user_feedback=user_feedback,
    )

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

    # Handle the response
    print(response)
Parameters
  • request (Union[google.cloud.dataqna_v1alpha.types.UpdateUserFeedbackRequest, dict]) – The request object. Request to updates user feedback.

  • user_feedback (google.cloud.dataqna_v1alpha.types.UserFeedback) –

    Required. The user feedback to update. This can be called even if there is no user feedback so far. The feedback’s name field is used to identify the user feedback (and the corresponding question) to update.

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

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) – The list of fields to be updated. This corresponds to the update_mask 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Feedback provided by a user.

Return type

google.cloud.dataqna_v1alpha.types.UserFeedback

static user_feedback_path(project: str, location: str, question: str) str[source]

Returns a fully-qualified user_feedback string.