v1beta1.d.ts
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/**
* Copyright 2019 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import { GaxiosPromise } from 'gaxios';
import { Compute, JWT, OAuth2Client, UserRefreshClient } from 'google-auth-library';
import { APIRequestContext, BodyResponseCallback, GlobalOptions, GoogleConfigurable, MethodOptions } from 'googleapis-common';
export declare namespace language_v1beta1 {
interface Options extends GlobalOptions {
version: 'v1beta1';
}
interface StandardParameters {
/**
* V1 error format.
*/
'$.xgafv'?: string;
/**
* OAuth access token.
*/
access_token?: string;
/**
* Data format for response.
*/
alt?: string;
/**
* JSONP
*/
callback?: string;
/**
* Selector specifying which fields to include in a partial response.
*/
fields?: string;
/**
* API key. Your API key identifies your project and provides you with API
* access, quota, and reports. Required unless you provide an OAuth 2.0
* token.
*/
key?: string;
/**
* OAuth 2.0 token for the current user.
*/
oauth_token?: string;
/**
* Returns response with indentations and line breaks.
*/
prettyPrint?: boolean;
/**
* Available to use for quota purposes for server-side applications. Can be
* any arbitrary string assigned to a user, but should not exceed 40
* characters.
*/
quotaUser?: string;
/**
* Legacy upload protocol for media (e.g. "media", "multipart").
*/
uploadType?: string;
/**
* Upload protocol for media (e.g. "raw", "multipart").
*/
upload_protocol?: string;
}
/**
* Cloud Natural Language API
*
* Provides natural language understanding technologies, such as sentiment
* analysis, entity recognition, entity sentiment analysis, and other text
* annotations, to developers.
*
* @example
* const {google} = require('googleapis');
* const language = google.language('v1beta1');
*
* @namespace language
* @type {Function}
* @version v1beta1
* @variation v1beta1
* @param {object=} options Options for Language
*/
class Language {
context: APIRequestContext;
documents: Resource$Documents;
constructor(options: GlobalOptions, google?: GoogleConfigurable);
}
/**
* The entity analysis request message.
*/
interface Schema$AnalyzeEntitiesRequest {
/**
* Input document.
*/
document?: Schema$Document;
/**
* The encoding type used by the API to calculate offsets.
*/
encodingType?: string;
}
/**
* The entity analysis response message.
*/
interface Schema$AnalyzeEntitiesResponse {
/**
* The recognized entities in the input document.
*/
entities?: Schema$Entity[];
/**
* The language of the text, which will be the same as the language
* specified in the request or, if not specified, the automatically-detected
* language. See Document.language field for more details.
*/
language?: string;
}
/**
* The sentiment analysis request message.
*/
interface Schema$AnalyzeSentimentRequest {
/**
* Input document.
*/
document?: Schema$Document;
/**
* The encoding type used by the API to calculate sentence offsets for the
* sentence sentiment.
*/
encodingType?: string;
}
/**
* The sentiment analysis response message.
*/
interface Schema$AnalyzeSentimentResponse {
/**
* The overall sentiment of the input document.
*/
documentSentiment?: Schema$Sentiment;
/**
* The language of the text, which will be the same as the language
* specified in the request or, if not specified, the automatically-detected
* language. See Document.language field for more details.
*/
language?: string;
/**
* The sentiment for all the sentences in the document.
*/
sentences?: Schema$Sentence[];
}
/**
* The syntax analysis request message.
*/
interface Schema$AnalyzeSyntaxRequest {
/**
* Input document.
*/
document?: Schema$Document;
/**
* The encoding type used by the API to calculate offsets.
*/
encodingType?: string;
}
/**
* The syntax analysis response message.
*/
interface Schema$AnalyzeSyntaxResponse {
/**
* The language of the text, which will be the same as the language
* specified in the request or, if not specified, the automatically-detected
* language. See Document.language field for more details.
*/
language?: string;
/**
* Sentences in the input document.
*/
sentences?: Schema$Sentence[];
/**
* Tokens, along with their syntactic information, in the input document.
*/
tokens?: Schema$Token[];
}
/**
* The request message for the text annotation API, which can perform multiple
* analysis types (sentiment, entities, and syntax) in one call.
*/
interface Schema$AnnotateTextRequest {
/**
* Input document.
*/
document?: Schema$Document;
/**
* The encoding type used by the API to calculate offsets.
*/
encodingType?: string;
/**
* The enabled features.
*/
features?: Schema$Features;
}
/**
* The text annotations response message.
*/
interface Schema$AnnotateTextResponse {
/**
* The overall sentiment for the document. Populated if the user enables
* AnnotateTextRequest.Features.extract_document_sentiment.
*/
documentSentiment?: Schema$Sentiment;
/**
* Entities, along with their semantic information, in the input document.
* Populated if the user enables
* AnnotateTextRequest.Features.extract_entities.
*/
entities?: Schema$Entity[];
/**
* The language of the text, which will be the same as the language
* specified in the request or, if not specified, the automatically-detected
* language. See Document.language field for more details.
*/
language?: string;
/**
* Sentences in the input document. Populated if the user enables
* AnnotateTextRequest.Features.extract_syntax.
*/
sentences?: Schema$Sentence[];
/**
* Tokens, along with their syntactic information, in the input document.
* Populated if the user enables
* AnnotateTextRequest.Features.extract_syntax.
*/
tokens?: Schema$Token[];
}
/**
* Represents dependency parse tree information for a token.
*/
interface Schema$DependencyEdge {
/**
* Represents the head of this token in the dependency tree. This is the
* index of the token which has an arc going to this token. The index is the
* position of the token in the array of tokens returned by the API method.
* If this token is a root token, then the `head_token_index` is its own
* index.
*/
headTokenIndex?: number;
/**
* The parse label for the token.
*/
label?: string;
}
/**
* ################################################################ #
* Represents the input to API methods.
*/
interface Schema$Document {
/**
* The content of the input in string format. Cloud audit logging exempt
* since it is based on user data.
*/
content?: string;
/**
* The Google Cloud Storage URI where the file content is located. This URI
* must be of the form: gs://bucket_name/object_name. For more details, see
* https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage
* object versioning is not supported.
*/
gcsContentUri?: string;
/**
* The language of the document (if not specified, the language is
* automatically detected). Both ISO and BCP-47 language codes are
* accepted.<br> [Language Support](/natural-language/docs/languages)
* lists currently supported languages for each API method. If the language
* (either specified by the caller or automatically detected) is not
* supported by the called API method, an `INVALID_ARGUMENT` error is
* returned.
*/
language?: string;
/**
* Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an
* `INVALID_ARGUMENT` error.
*/
type?: string;
}
/**
* Represents a phrase in the text that is a known entity, such as a person,
* an organization, or location. The API associates information, such as
* salience and mentions, with entities.
*/
interface Schema$Entity {
/**
* The mentions of this entity in the input document. The API currently
* supports proper noun mentions.
*/
mentions?: Schema$EntityMention[];
/**
* Metadata associated with the entity. Currently, Wikipedia URLs and
* Knowledge Graph MIDs are provided, if available. The associated keys are
* "wikipedia_url" and "mid", respectively.
*/
metadata?: {
[key: string]: string;
};
/**
* The representative name for the entity.
*/
name?: string;
/**
* The salience score associated with the entity in the [0, 1.0] range. The
* salience score for an entity provides information about the importance or
* centrality of that entity to the entire document text. Scores closer to 0
* are less salient, while scores closer to 1.0 are highly salient.
*/
salience?: number;
/**
* The entity type.
*/
type?: string;
}
/**
* Represents a mention for an entity in the text. Currently, proper noun
* mentions are supported.
*/
interface Schema$EntityMention {
/**
* The mention text.
*/
text?: Schema$TextSpan;
/**
* The type of the entity mention.
*/
type?: string;
}
/**
* All available features for sentiment, syntax, and semantic analysis.
* Setting each one to true will enable that specific analysis for the input.
*/
interface Schema$Features {
/**
* Extract document-level sentiment.
*/
extractDocumentSentiment?: boolean;
/**
* Extract entities.
*/
extractEntities?: boolean;
/**
* Extract syntax information.
*/
extractSyntax?: boolean;
}
/**
* Represents part of speech information for a token.
*/
interface Schema$PartOfSpeech {
/**
* The grammatical aspect.
*/
aspect?: string;
/**
* The grammatical case.
*/
case?: string;
/**
* The grammatical form.
*/
form?: string;
/**
* The grammatical gender.
*/
gender?: string;
/**
* The grammatical mood.
*/
mood?: string;
/**
* The grammatical number.
*/
number?: string;
/**
* The grammatical person.
*/
person?: string;
/**
* The grammatical properness.
*/
proper?: string;
/**
* The grammatical reciprocity.
*/
reciprocity?: string;
/**
* The part of speech tag.
*/
tag?: string;
/**
* The grammatical tense.
*/
tense?: string;
/**
* The grammatical voice.
*/
voice?: string;
}
/**
* Represents a sentence in the input document.
*/
interface Schema$Sentence {
/**
* For calls to AnalyzeSentiment or if
* AnnotateTextRequest.Features.extract_document_sentiment is set to true,
* this field will contain the sentiment for the sentence.
*/
sentiment?: Schema$Sentiment;
/**
* The sentence text.
*/
text?: Schema$TextSpan;
}
/**
* Represents the feeling associated with the entire text or entities in the
* text.
*/
interface Schema$Sentiment {
/**
* A non-negative number in the [0, +inf) range, which represents the
* absolute magnitude of sentiment regardless of score (positive or
* negative).
*/
magnitude?: number;
/**
* DEPRECATED FIELD - This field is being deprecated in favor of score.
* Please refer to our documentation at
* https://cloud.google.com/natural-language/docs for more information.
*/
polarity?: number;
/**
* Sentiment score between -1.0 (negative sentiment) and 1.0 (positive
* sentiment).
*/
score?: number;
}
/**
* The `Status` type defines a logical error model that is suitable for
* different programming environments, including REST APIs and RPC APIs. It is
* used by [gRPC](https://github.com/grpc). The error model is designed to be:
* - Simple to use and understand for most users - Flexible enough to meet
* unexpected needs # Overview The `Status` message contains three pieces of
* data: error code, error message, and error details. The error code should
* be an enum value of google.rpc.Code, but it may accept additional error
* codes if needed. The error message should be a developer-facing English
* message that helps developers *understand* and *resolve* the error. If a
* localized user-facing error message is needed, put the localized message in
* the error details or localize it in the client. The optional error details
* may contain arbitrary information about the error. There is a predefined
* set of error detail types in the package `google.rpc` that can be used for
* common error conditions. # Language mapping The `Status` message is the
* logical representation of the error model, but it is not necessarily the
* actual wire format. When the `Status` message is exposed in different
* client libraries and different wire protocols, it can be mapped
* differently. For example, it will likely be mapped to some exceptions in
* Java, but more likely mapped to some error codes in C. # Other uses The
* error model and the `Status` message can be used in a variety of
* environments, either with or without APIs, to provide a consistent
* developer experience across different environments. Example uses of this
* error model include: - Partial errors. If a service needs to return
* partial errors to the client, it may embed the `Status` in the normal
* response to indicate the partial errors. - Workflow errors. A typical
* workflow has multiple steps. Each step may have a `Status` message for
* error reporting. - Batch operations. If a client uses batch request and
* batch response, the `Status` message should be used directly inside
* batch response, one for each error sub-response. - Asynchronous
* operations. If an API call embeds asynchronous operation results in its
* response, the status of those operations should be represented directly
* using the `Status` message. - Logging. If some API errors are stored in
* logs, the message `Status` could be used directly after any stripping
* needed for security/privacy reasons.
*/
interface Schema$Status {
/**
* The status code, which should be an enum value of google.rpc.Code.
*/
code?: number;
/**
* A list of messages that carry the error details. There is a common set
* of message types for APIs to use.
*/
details?: Array<{
[key: string]: any;
}>;
/**
* A developer-facing error message, which should be in English. Any
* user-facing error message should be localized and sent in the
* google.rpc.Status.details field, or localized by the client.
*/
message?: string;
}
/**
* Represents an output piece of text.
*/
interface Schema$TextSpan {
/**
* The API calculates the beginning offset of the content in the original
* document according to the EncodingType specified in the API request.
*/
beginOffset?: number;
/**
* The content of the output text.
*/
content?: string;
}
/**
* Represents the smallest syntactic building block of the text.
*/
interface Schema$Token {
/**
* Dependency tree parse for this token.
*/
dependencyEdge?: Schema$DependencyEdge;
/**
* [Lemma](https://en.wikipedia.org/wiki/Lemma_%28morphology%29) of the
* token.
*/
lemma?: string;
/**
* Parts of speech tag for this token.
*/
partOfSpeech?: Schema$PartOfSpeech;
/**
* The token text.
*/
text?: Schema$TextSpan;
}
class Resource$Documents {
context: APIRequestContext;
constructor(context: APIRequestContext);
/**
* language.documents.analyzeEntities
* @desc Finds named entities (currently proper names and common nouns) in
* the text along with entity types, salience, mentions for each entity, and
* other properties.
* @alias language.documents.analyzeEntities
* @memberOf! ()
*
* @param {object} params Parameters for request
* @param {().AnalyzeEntitiesRequest} params.resource Request body data
* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
* @param {callback} callback The callback that handles the response.
* @return {object} Request object
*/
analyzeEntities(params?: Params$Resource$Documents$Analyzeentities, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeEntitiesResponse>;
analyzeEntities(params: Params$Resource$Documents$Analyzeentities, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeEntitiesResponse>, callback: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
analyzeEntities(params: Params$Resource$Documents$Analyzeentities, callback: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
analyzeEntities(callback: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
/**
* language.documents.analyzeSentiment
* @desc Analyzes the sentiment of the provided text.
* @alias language.documents.analyzeSentiment
* @memberOf! ()
*
* @param {object} params Parameters for request
* @param {().AnalyzeSentimentRequest} params.resource Request body data
* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
* @param {callback} callback The callback that handles the response.
* @return {object} Request object
*/
analyzeSentiment(params?: Params$Resource$Documents$Analyzesentiment, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeSentimentResponse>;
analyzeSentiment(params: Params$Resource$Documents$Analyzesentiment, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeSentimentResponse>, callback: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
analyzeSentiment(params: Params$Resource$Documents$Analyzesentiment, callback: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
analyzeSentiment(callback: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
/**
* language.documents.analyzeSyntax
* @desc Analyzes the syntax of the text and provides sentence boundaries
* and tokenization along with part of speech tags, dependency trees, and
* other properties.
* @alias language.documents.analyzeSyntax
* @memberOf! ()
*
* @param {object} params Parameters for request
* @param {().AnalyzeSyntaxRequest} params.resource Request body data
* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
* @param {callback} callback The callback that handles the response.
* @return {object} Request object
*/
analyzeSyntax(params?: Params$Resource$Documents$Analyzesyntax, options?: MethodOptions): GaxiosPromise<Schema$AnalyzeSyntaxResponse>;
analyzeSyntax(params: Params$Resource$Documents$Analyzesyntax, options: MethodOptions | BodyResponseCallback<Schema$AnalyzeSyntaxResponse>, callback: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
analyzeSyntax(params: Params$Resource$Documents$Analyzesyntax, callback: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
analyzeSyntax(callback: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
/**
* language.documents.annotateText
* @desc A convenience method that provides all the features that
* analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.
* @alias language.documents.annotateText
* @memberOf! ()
*
* @param {object} params Parameters for request
* @param {().AnnotateTextRequest} params.resource Request body data
* @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
* @param {callback} callback The callback that handles the response.
* @return {object} Request object
*/
annotateText(params?: Params$Resource$Documents$Annotatetext, options?: MethodOptions): GaxiosPromise<Schema$AnnotateTextResponse>;
annotateText(params: Params$Resource$Documents$Annotatetext, options: MethodOptions | BodyResponseCallback<Schema$AnnotateTextResponse>, callback: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
annotateText(params: Params$Resource$Documents$Annotatetext, callback: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
annotateText(callback: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
}
interface Params$Resource$Documents$Analyzeentities extends StandardParameters {
/**
* Auth client or API Key for the request
*/
auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
/**
* Request body metadata
*/
requestBody?: Schema$AnalyzeEntitiesRequest;
}
interface Params$Resource$Documents$Analyzesentiment extends StandardParameters {
/**
* Auth client or API Key for the request
*/
auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
/**
* Request body metadata
*/
requestBody?: Schema$AnalyzeSentimentRequest;
}
interface Params$Resource$Documents$Analyzesyntax extends StandardParameters {
/**
* Auth client or API Key for the request
*/
auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
/**
* Request body metadata
*/
requestBody?: Schema$AnalyzeSyntaxRequest;
}
interface Params$Resource$Documents$Annotatetext extends StandardParameters {
/**
* Auth client or API Key for the request
*/
auth?: string | OAuth2Client | JWT | Compute | UserRefreshClient;
/**
* Request body metadata
*/
requestBody?: Schema$AnnotateTextRequest;
}
}