/**
 * Copyright 2015 Google Inc. All Rights Reserved.
 *
 * 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 { AxiosPromise } from 'axios';
import { GoogleApis } from '../..';
import { BodyResponseCallback, GlobalOptions, MethodOptions } from '../../lib/api';
/**
 * Cloud Natural Language API
 *
 * Provides natural language understanding technologies to developers. Examples
 * include sentiment analysis, entity recognition, entity sentiment analysis,
 * and text annotations.
 *
 * @example
 * const google = require('googleapis');
 * const language = google.language('v1beta2');
 *
 * @namespace language
 * @type {Function}
 * @version v1beta2
 * @variation v1beta2
 * @param {object=} options Options for Language
 */
export declare class Language {
    _options: GlobalOptions;
    google: GoogleApis;
    root: this;
    documents: Resource$Documents;
    constructor(options: GlobalOptions, google: GoogleApis);
    getRoot(): this;
}
/**
 * The entity analysis request message.
 */
export interface Schema$AnalyzeEntitiesRequest {
    /**
     * Input document.
     */
    document: Schema$Document;
    /**
     * The encoding type used by the API to calculate offsets.
     */
    encodingType: string;
}
/**
 * The entity analysis response message.
 */
export interface Schema$AnalyzeEntitiesResponse {
    /**
     * The recognized entities in the input document.
     */
    entities: Schema$Entity[];
    /**
     * The language of the text, which will be the same as the language specified
     * in the request or, if not specified, the automatically-detected language.
     * See Document.language field for more details.
     */
    language: string;
}
/**
 * The entity-level sentiment analysis request message.
 */
export interface Schema$AnalyzeEntitySentimentRequest {
    /**
     * Input document.
     */
    document: Schema$Document;
    /**
     * The encoding type used by the API to calculate offsets.
     */
    encodingType: string;
}
/**
 * The entity-level sentiment analysis response message.
 */
export interface Schema$AnalyzeEntitySentimentResponse {
    /**
     * The recognized entities in the input document with associated sentiments.
     */
    entities: Schema$Entity[];
    /**
     * The language of the text, which will be the same as the language specified
     * in the request or, if not specified, the automatically-detected language.
     * See Document.language field for more details.
     */
    language: string;
}
/**
 * The sentiment analysis request message.
 */
export interface Schema$AnalyzeSentimentRequest {
    /**
     * Input document.
     */
    document: Schema$Document;
    /**
     * The encoding type used by the API to calculate sentence offsets for the
     * sentence sentiment.
     */
    encodingType: string;
}
/**
 * The sentiment analysis response message.
 */
export interface Schema$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.
 */
export 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.
 */
export 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$Token[];
}
/**
 * The request message for the text annotation API, which can perform multiple
 * analysis types (sentiment, entities, and syntax) in one call.
 */
export interface Schema$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.
 */
export interface Schema$AnnotateTextResponse {
    /**
     * Categories identified in the input document.
     */
    categories: Schema$ClassificationCategory[];
    /**
     * 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 a category returned from the text classifier.
 */
export interface Schema$ClassificationCategory {
    /**
     * The classifier's confidence of the category. Number represents how
     * certain the classifier is that this category represents the given text.
     */
    confidence: number;
    /**
     * The name of the category representing the document, from the [predefined
     * taxonomy](/natural-language/docs/categories).
     */
    name: string;
}
/**
 * The document classification request message.
 */
export interface Schema$ClassifyTextRequest {
    /**
     * Input document.
     */
    document: Schema$Document;
}
/**
 * The document classification response message.
 */
export interface Schema$ClassifyTextResponse {
    /**
     * Categories representing the input document.
     */
    categories: Schema$ClassificationCategory[];
}
/**
 * Represents dependency parse tree information for a token.
 */
export interface Schema$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.
 */
export interface Schema$Document {
    /**
     * The content of the input in string format.
     */
    content: string;
    /**
     * The Google Cloud Storage URI where the file content is located. This URI
     * must be of the form: gs://bucket_name/object_name. For more details, see
     * https://cloud.google.com/storage/docs/reference-uris. NOTE: Cloud Storage
     * object versioning is not supported.
     */
    gcsContentUri: string;
    /**
     * The language of the document (if not specified, the language is
     * automatically detected). Both ISO and BCP-47 language codes are
     * accepted.<br> [Language Support](/natural-language/docs/languages)
     * lists currently supported languages for each API method. If the language
     * (either specified by the caller or automatically detected) is not supported
     * by the called API method, an `INVALID_ARGUMENT` error is returned.
     */
    language: string;
    /**
     * Required. If the type is not set or is `TYPE_UNSPECIFIED`, returns an
     * `INVALID_ARGUMENT` error.
     */
    type: string;
}
/**
 * Represents a phrase in the text that is a known entity, such as a person, an
 * organization, or location. The API associates information, such as salience
 * and mentions, with entities.
 */
export interface Schema$Entity {
    /**
     * The mentions of this entity in the input document. The API currently
     * supports proper noun mentions.
     */
    mentions: Schema$EntityMention[];
    /**
     * Metadata associated with the entity.  Currently, Wikipedia URLs and
     * Knowledge Graph MIDs are provided, if available. The associated keys are
     * "wikipedia_url" and "mid", respectively.
     */
    metadata: any;
    /**
     * The representative name for the entity.
     */
    name: string;
    /**
     * The salience score associated with the entity in the [0, 1.0] range.  The
     * salience score for an entity provides information about the importance or
     * centrality of that entity to the entire document text. Scores closer to 0
     * are less salient, while scores closer to 1.0 are highly salient.
     */
    salience: number;
    /**
     * For calls to AnalyzeEntitySentiment or if
     * AnnotateTextRequest.Features.extract_entity_sentiment is set to true, this
     * field will contain the aggregate sentiment expressed for this entity in the
     * provided document.
     */
    sentiment: Schema$Sentiment;
    /**
     * The entity type.
     */
    type: string;
}
/**
 * Represents a mention for an entity in the text. Currently, proper noun
 * mentions are supported.
 */
export interface Schema$EntityMention {
    /**
     * For calls to AnalyzeEntitySentiment or if
     * AnnotateTextRequest.Features.extract_entity_sentiment is set to true, this
     * field will contain the sentiment expressed for this mention of the entity
     * in the provided document.
     */
    sentiment: Schema$Sentiment;
    /**
     * The mention text.
     */
    text: Schema$TextSpan;
    /**
     * The type of the entity mention.
     */
    type: string;
}
/**
 * All available features for sentiment, syntax, and semantic analysis. Setting
 * each one to true will enable that specific analysis for the input.
 */
export interface Schema$Features {
    /**
     * Classify the full document into categories. If this is true, the API will
     * use the default model which classifies into a [predefined
     * taxonomy](/natural-language/docs/categories).
     */
    classifyText: boolean;
    /**
     * Extract document-level sentiment.
     */
    extractDocumentSentiment: boolean;
    /**
     * Extract entities.
     */
    extractEntities: boolean;
    /**
     * Extract entities and their associated sentiment.
     */
    extractEntitySentiment: boolean;
    /**
     * Extract syntax information.
     */
    extractSyntax: boolean;
}
/**
 * Represents part of speech information for a token.
 */
export interface Schema$PartOfSpeech {
    /**
     * The grammatical aspect.
     */
    aspect: string;
    /**
     * The grammatical case.
     */
    case: string;
    /**
     * The grammatical form.
     */
    form: string;
    /**
     * The grammatical gender.
     */
    gender: string;
    /**
     * The grammatical mood.
     */
    mood: string;
    /**
     * The grammatical number.
     */
    number: string;
    /**
     * The grammatical person.
     */
    person: string;
    /**
     * The grammatical properness.
     */
    proper: string;
    /**
     * The grammatical reciprocity.
     */
    reciprocity: string;
    /**
     * The part of speech tag.
     */
    tag: string;
    /**
     * The grammatical tense.
     */
    tense: string;
    /**
     * The grammatical voice.
     */
    voice: string;
}
/**
 * Represents a sentence in the input document.
 */
export interface Schema$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.
 */
export 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;
    /**
     * 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.
 */
export 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: 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.
 */
export interface Schema$TextSpan {
    /**
     * The API calculates the beginning offset of the content in the original
     * document according to the EncodingType specified in the API request.
     */
    beginOffset: number;
    /**
     * The content of the output text.
     */
    content: string;
}
/**
 * Represents the smallest syntactic building block of the text.
 */
export interface Schema$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$TextSpan;
}
export declare class Resource$Documents {
    root: Language;
    constructor(root: Language);
    getRoot(): Language;
    /**
     * 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?: any, options?: MethodOptions): AxiosPromise<Schema$AnalyzeEntitiesResponse>;
    analyzeEntities(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$AnalyzeEntitiesResponse>, callback?: BodyResponseCallback<Schema$AnalyzeEntitiesResponse>): void;
    /**
     * language.documents.analyzeEntitySentiment
     * @desc Finds entities, similar to AnalyzeEntities in the text and analyzes
     * sentiment associated with each entity and its mentions.
     * @alias language.documents.analyzeEntitySentiment
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {().AnalyzeEntitySentimentRequest} params.resource Request body data
     * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
     * @param {callback} callback The callback that handles the response.
     * @return {object} Request object
     */
    analyzeEntitySentiment(params?: any, options?: MethodOptions): AxiosPromise<Schema$AnalyzeEntitySentimentResponse>;
    analyzeEntitySentiment(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$AnalyzeEntitySentimentResponse>, callback?: BodyResponseCallback<Schema$AnalyzeEntitySentimentResponse>): 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?: any, options?: MethodOptions): AxiosPromise<Schema$AnalyzeSentimentResponse>;
    analyzeSentiment(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$AnalyzeSentimentResponse>, callback?: BodyResponseCallback<Schema$AnalyzeSentimentResponse>): void;
    /**
     * language.documents.analyzeSyntax
     * @desc Analyzes the syntax of the text and provides sentence boundaries and
     * tokenization along with part of speech tags, dependency trees, and other
     * properties.
     * @alias language.documents.analyzeSyntax
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {().AnalyzeSyntaxRequest} params.resource Request body data
     * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
     * @param {callback} callback The callback that handles the response.
     * @return {object} Request object
     */
    analyzeSyntax(params?: any, options?: MethodOptions): AxiosPromise<Schema$AnalyzeSyntaxResponse>;
    analyzeSyntax(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$AnalyzeSyntaxResponse>, callback?: BodyResponseCallback<Schema$AnalyzeSyntaxResponse>): void;
    /**
     * language.documents.annotateText
     * @desc A convenience method that provides all syntax, sentiment, entity, and
     * classification features 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?: any, options?: MethodOptions): AxiosPromise<Schema$AnnotateTextResponse>;
    annotateText(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$AnnotateTextResponse>, callback?: BodyResponseCallback<Schema$AnnotateTextResponse>): void;
    /**
     * language.documents.classifyText
     * @desc Classifies a document into categories.
     * @alias language.documents.classifyText
     * @memberOf! ()
     *
     * @param {object} params Parameters for request
     * @param {().ClassifyTextRequest} params.resource Request body data
     * @param {object} [options] Optionally override request options, such as `url`, `method`, and `encoding`.
     * @param {callback} callback The callback that handles the response.
     * @return {object} Request object
     */
    classifyText(params?: any, options?: MethodOptions): AxiosPromise<Schema$ClassifyTextResponse>;
    classifyText(params?: any, options?: MethodOptions | BodyResponseCallback<Schema$ClassifyTextResponse>, callback?: BodyResponseCallback<Schema$ClassifyTextResponse>): void;
}