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418 lines
15 KiB
418 lines
15 KiB
6 years ago
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type: com.google.api.codegen.ConfigProto
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config_schema_version: 1.0.0
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# The settings of generated code in a specific language.
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language_settings:
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java:
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package_name: com.google.cloud.language.v1
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python:
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package_name: google.cloud.language_v1.gapic
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go:
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package_name: cloud.google.com/go/language/apiv1
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csharp:
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package_name: Google.Cloud.Language.V1
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ruby:
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package_name: Google::Cloud::Language::V1
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php:
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package_name: Google\Cloud\Language\V1
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nodejs:
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package_name: language.v1
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domain_layer_location: google-cloud
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# A list of API interface configurations.
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interfaces:
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# The fully qualified name of the API interface.
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- name: google.cloud.language.v1.LanguageService
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# A list of resource collection configurations.
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# Consists of a name_pattern and an entity_name.
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# The name_pattern is a pattern to describe the names of the resources of this
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# collection, using the platform's conventions for URI patterns. A generator
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# may use this to generate methods to compose and decompose such names. The
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# pattern should use named placeholders as in `shelves/{shelf}/books/{book}`;
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# those will be taken as hints for the parameter names of the generated
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# methods. If empty, no name methods are generated.
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# The entity_name is the name to be used as a basis for generated methods and
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# classes.
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collections: []
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# Definition for retryable codes.
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retry_codes_def:
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- name: idempotent
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retry_codes:
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- UNAVAILABLE
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- name: non_idempotent
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retry_codes: []
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# Definition for retry/backoff parameters.
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retry_params_def:
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- name: default
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initial_retry_delay_millis: 100
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retry_delay_multiplier: 1.3
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max_retry_delay_millis: 60000
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initial_rpc_timeout_millis: 20000
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rpc_timeout_multiplier: 1
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max_rpc_timeout_millis: 20000
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total_timeout_millis: 600000
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# A list of method configurations.
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# Common properties:
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#
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# name - The simple name of the method.
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#
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# flattening - Specifies the configuration for parameter flattening.
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# Describes the parameter groups for which a generator should produce method
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# overloads which allow a client to directly pass request message fields as
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# method parameters. This information may or may not be used, depending on
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# the target language.
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# Consists of groups, which each represent a list of parameters to be
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# flattened. Each parameter listed must be a field of the request message.
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#
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# required_fields - Fields that are always required for a request to be
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# valid.
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#
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# resource_name_treatment - An enum that specifies how to treat the resource
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# name formats defined in the field_name_patterns and
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# response_field_name_patterns fields.
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# UNSET: default value
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# NONE: the collection configs will not be used by the generated code.
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# VALIDATE: string fields will be validated by the client against the
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# specified resource name formats.
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# STATIC_TYPES: the client will use generated types for resource names.
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#
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# page_streaming - Specifies the configuration for paging.
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# Describes information for generating a method which transforms a paging
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# list RPC into a stream of resources.
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# Consists of a request and a response.
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# The request specifies request information of the list method. It defines
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# which fields match the paging pattern in the request. The request consists
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# of a page_size_field and a token_field. The page_size_field is the name of
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# the optional field specifying the maximum number of elements to be
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# returned in the response. The token_field is the name of the field in the
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# request containing the page token.
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# The response specifies response information of the list method. It defines
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# which fields match the paging pattern in the response. The response
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# consists of a token_field and a resources_field. The token_field is the
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# name of the field in the response containing the next page token. The
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# resources_field is the name of the field in the response containing the
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# list of resources belonging to the page.
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#
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# retry_codes_name - Specifies the configuration for retryable codes. The
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# name must be defined in interfaces.retry_codes_def.
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#
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# retry_params_name - Specifies the configuration for retry/backoff
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# parameters. The name must be defined in interfaces.retry_params_def.
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#
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# field_name_patterns - Maps the field name of the request type to
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# entity_name of interfaces.collections.
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# Specifies the string pattern that the field must follow.
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#
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# timeout_millis - Specifies the default timeout for a non-retrying call. If
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# the call is retrying, refer to retry_params_name instead.
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methods:
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- name: AnalyzeSentiment
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flattening:
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groups:
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- parameters:
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- document
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- encoding_type
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- parameters:
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- document
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required_fields:
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- document
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 60000
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samples:
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standalone:
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- value_sets: [language_sentiment_text]
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region_tag: language_sentiment_text
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- value_sets: [language_sentiment_gcs]
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region_tag: language_sentiment_gcs
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- region_tag: analyze_text_sentiment
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value_sets: [analyze_text_sentiment]
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sample_value_sets:
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- id: analyze_text_sentiment
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description: This sample demonstrates analyzing the sentiment of text
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.content="I am so happy"
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- id: language_sentiment_text
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description: "Analyze sentiment of text"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.content="I am so happy and joyful."
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attributes:
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- parameter: document.content
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sample_argument_name: text_content
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on_success:
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- define: sentiment=$resp.document_sentiment
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- print: ["Sentiment score: %s", sentiment.score]
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- print: ["Magnitude: %s", sentiment.magnitude]
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- id: language_sentiment_gcs
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description: "Analyze sentiment of text stored in GCS"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.gcs_content_uri="gs://cloud-samples-data/language/sentiment-positive.txt"
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attributes:
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- parameter: document.gcs_content_uri
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sample_argument_name: gcs_uri
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on_success:
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- define: sentiment=$resp.document_sentiment
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- print: ["Sentiment score: %s", sentiment.score]
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- print: ["Magnitude: %s", sentiment.magnitude]
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- name: AnalyzeEntities
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flattening:
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groups:
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- parameters:
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- document
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- encoding_type
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- parameters:
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- document
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required_fields:
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- document
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 60000
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samples:
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standalone:
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- value_sets: [language_entities_text]
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region_tag: language_entities_text
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- value_sets: [language_entities_gcs]
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region_tag: language_entities_gcs
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sample_value_sets:
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- id: language_entities_text
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description: "Analyze entities in text"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.content="California is a state."
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attributes:
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- parameter: document.content
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sample_argument_name: text_content
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on_success:
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- loop:
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collection: $resp.entities
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variable: entity
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body:
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- print: ["Entity name: %s", entity.name]
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- print: ["Entity type: %s", entity.type]
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- print: ["Entity salience score: %s", entity.salience]
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- loop:
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collection: entity.mentions
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variable: mention
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body:
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- print: ["Mention: %s", mention.text.content]
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- print: ["Mention type: %s", mention.type]
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- id: language_entities_gcs
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description: "Analyze entities in text stored in GCS"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.gcs_content_uri="gs://cloud-samples-data/language/entity.txt"
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attributes:
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- parameter: document.gcs_content_uri
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sample_argument_name: gcs_ur
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on_success:
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- loop:
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collection: $resp.entities
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variable: entity
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body:
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- print: ["Entity name: %s", entity.name]
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- print: ["Entity type: %s", entity.type]
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- print: ["Entity salience score: %s", entity.salience]
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- loop:
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collection: entity.mentions
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variable: mention
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body:
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- print: ["Mention: %s", mention.text.content]
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- print: ["Mention type: %s", mention.type]
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- name: AnalyzeEntitySentiment
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flattening:
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groups:
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- parameters:
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- document
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- encoding_type
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- parameters:
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- document
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required_fields:
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- document
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 60000
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samples:
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standalone:
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- value_sets: [language_entity_sentiment_text]
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region_tag: language_entity_sentiment_text
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- value_sets: [language_entity_sentiment_gcs]
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region_tag: language_entity_sentiment_gcs
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sample_value_sets:
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- id: language_entity_sentiment_text
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description: "Analyze Sentiment of Entities in Text"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.content="Grapes are good. Bananas are bad."
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attributes:
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- parameter: document.content
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sample_argument_name: text_content
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on_success:
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- loop:
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collection: $resp.entities
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variable: entity
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body:
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- print: ["Entity name: %s", entity.name]
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- print: ["Entity sentiment score: %s", entity.sentiment.score]
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- loop:
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collection: entity.mentions
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variable: mention
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body:
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- print: ["Mention: %s", mention.text.content]
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- print: ["Mention type: %s", mention.type]
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- print: ["Mention sentiment score: %s", mention.sentiment.score]
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- print:
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- "Mention sentiment magnitude: %s"
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- mention.sentiment.magnitude
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- id: language_entity_sentiment_gcs
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description: "Analyze Sentiment of Entities in Text stored in GCS"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.gcs_content_uri="gs://cloud-samples-data/language/entity-sentiment.txt"
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attributes:
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- parameter: document.gcs_content_uri
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sample_argument_name: gcs_ur
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on_success:
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- loop:
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collection: $resp.entities
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variable: entity
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body:
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- print: ["Entity name: %s", entity.name]
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- print: ["Entity sentiment score: %s", entity.sentiment.score]
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- loop:
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collection: entity.mentions
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variable: mention
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body:
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- print: ["Mention: %s", mention.text.content]
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- print: ["Mention type: %s", mention.type]
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- print: ["Mention sentiment score: %s", mention.sentiment.score]
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- print:
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- "Mention sentiment magnitude: %s"
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- mention.sentiment.magnitude
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- name: AnalyzeSyntax
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flattening:
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groups:
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- parameters:
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- document
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- encoding_type
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- parameters:
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- document
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required_fields:
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- document
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retry_codes_name: idempotent
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retry_params_name: default
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timeout_millis: 60000
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samples:
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standalone:
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- value_sets: [language_syntax_text]
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region_tag: language_syntax_text
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- value_sets: [language_syntax_gcs]
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region_tag: language_syntax_gcs
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sample_value_sets:
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- id: language_syntax_text
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description: "Analyze syntax of text"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.content="This is a short sentence."
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attributes:
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- parameter: document.content
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sample_argument_name: text_content
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on_success:
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- define: tokens=$resp.tokens
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- loop:
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variable: token
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collection: tokens
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body:
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- print: ["Part of speech: %s", token.part_of_speech.tag]
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- print: ["Text: %s", token.text.content]
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- id: language_syntax_gcs
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description: "Analyze syntax of text in GCS"
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parameters:
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defaults:
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- document.type=PLAIN_TEXT
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- document.gcs_content_uri="gs://cloud-samples-data/language/syntax-sentence.txt"
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attributes:
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- parameter: document.gcs_content_uri
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sample_argument_name: gcs_urs
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on_success:
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- define: tokens=$resp.tokens
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- loop:
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variable: token
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collection: tokens
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body:
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- print: ["Part of speech: %s", token.part_of_speech.tag]
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- print: ["Text: %s", token.text.content]
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- name: ClassifyText
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flattening:
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groups:
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- parameters:
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- document
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required_fields:
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||
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- document
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retry_codes_name: idempotent
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||
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retry_params_name: default
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timeout_millis: 60000
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samples:
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standalone:
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- value_sets: [language_classify_text]
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region_tag: language_classify_text
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- value_sets: [language_classify_gcs]
|
||
|
|
region_tag: language_classify_gcs
|
||
|
|
sample_value_sets:
|
||
|
|
- id: language_classify_text
|
||
|
|
description: "Classify text"
|
||
|
|
parameters:
|
||
|
|
defaults:
|
||
|
|
- document.type=PLAIN_TEXT
|
||
|
|
- document.content="This is about film and movies and television and acting and movie theatres and theatre and drama and entertainment and the arts."
|
||
|
|
attributes:
|
||
|
|
- parameter: document.content
|
||
|
|
sample_argument_name: text_content
|
||
|
|
on_success:
|
||
|
|
- loop:
|
||
|
|
collection: $resp.categories
|
||
|
|
variable: category
|
||
|
|
body:
|
||
|
|
- print: ["Category name: %s", category.name]
|
||
|
|
- print: ["Confidence: %s", category.confidence]
|
||
|
|
- id: language_classify_gcs
|
||
|
|
description: "Classify text in GCS"
|
||
|
|
parameters:
|
||
|
|
defaults:
|
||
|
|
- document.type=PLAIN_TEXT
|
||
|
|
- document.gcs_content_uri="gs://cloud-samples-data/language/classify-entertainment.txt"
|
||
|
|
attributes:
|
||
|
|
- parameter: document.gcs_content_uri
|
||
|
|
sample_argument_name: gcs_urs
|
||
|
|
on_success:
|
||
|
|
- loop:
|
||
|
|
collection: $resp.categories
|
||
|
|
variable: category
|
||
|
|
body:
|
||
|
|
- print: ["Category name: %s", category.name]
|
||
|
|
- print: ["Confidence: %s", category.confidence]
|
||
|
|
- name: AnnotateText
|
||
|
|
flattening:
|
||
|
|
groups:
|
||
|
|
- parameters:
|
||
|
|
- document
|
||
|
|
- features
|
||
|
|
- encoding_type
|
||
|
|
- parameters:
|
||
|
|
- document
|
||
|
|
- features
|
||
|
|
required_fields:
|
||
|
|
- document
|
||
|
|
- features
|
||
|
|
retry_codes_name: idempotent
|
||
|
|
retry_params_name: default
|
||
|
|
timeout_millis: 60000
|