BigQuery Data QnA API - Module Google::Cloud::DataQnA (v0.4.0)

Reference documentation and code samples for the BigQuery Data QnA API module Google::Cloud::DataQnA.

Create a new client object for AutoSuggestionService.

By default, this returns an instance of Google::Cloud::DataQnA::V1alpha::AutoSuggestionService::Client for a gRPC client for version V1alpha of the API. However, you can specify a different API version by passing it in the version parameter. If the AutoSuggestionService service is supported by that API version, and the corresponding gem is available, the appropriate versioned client will be returned.

About AutoSuggestionService

This stateless API provides automatic suggestions for natural language queries for the data sources in the provided project and location.

The service provides a resourceless operation suggestQueries that can be called to get a list of suggestions for a given incomplete query and scope (or list of scopes) under which the query is to be interpreted.

There are two types of suggestions, ENTITY for single entity suggestions and TEMPLATE for full sentences. By default, both types are returned.

Example Request: GetSuggestions({ parent: "locations/us/projects/my-project" scopes: "//bigquery.googleapis.com/projects/my-project/datasets/my-dataset/tables/my-table" query: "top it" })

The service will retrieve information based on the given scope(s) and give suggestions based on that (e.g. "top item" for "top it" if "item" is a known dimension for the provided scope). suggestions { suggestion_info { annotated_suggestion { text_formatted: "top item by sum of usd_revenue_net" markups { type: DIMENSION start_char_index: 4 length: 4 } markups { type: METRIC start_char_index: 19 length: 15 } } query_matches { start_char_index: 0 length: 6 } } suggestion_type: TEMPLATE ranking_score: 0.9 } suggestions { suggestion_info { annotated_suggestion { text_formatted: "item" markups { type: DIMENSION start_char_index: 4 length: 2 } } query_matches { start_char_index: 0 length: 6 } } suggestion_type: ENTITY ranking_score: 0.8 }

Configure the google-cloud-dataqna library.

The following configuration parameters are supported:

• credentials (type: String, Hash, Google::Auth::Credentials) - The path to the keyfile as a String, the contents of the keyfile as a Hash, or a Google::Auth::Credentials object.
• lib_name (type: String) - The library name as recorded in instrumentation and logging.
• lib_version (type: String) - The library version as recorded in instrumentation and logging.
• interceptors (type: Array<GRPC::ClientInterceptor>) - An array of interceptors that are run before calls are executed.
• timeout (type: Numeric) - Default timeout in seconds.
• metadata (type: Hash{Symbol=>String}) - Additional headers to be sent with the call.
• retry_policy (type: Hash) - The retry policy. The value is a hash with the following keys:
  • :initial_delay (type: Numeric) - The initial delay in seconds.
  • :max_delay (type: Numeric) - The max delay in seconds.
  • :multiplier (type: Numeric) - The incremental backoff multiplier.
  • :retry_codes (type: Array<String>) - The error codes that should trigger a retry.

Create a new client object for QuestionService.

By default, this returns an instance of Google::Cloud::DataQnA::V1alpha::QuestionService::Client for a gRPC client for version V1alpha of the API. However, you can specify a different API version by passing it in the version parameter. If the QuestionService service is supported by that API version, and the corresponding gem is available, the appropriate versioned client will be returned.

About QuestionService

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.

value: "0.4.0"