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@emergentmethods/asknews-typescript-sdk

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/* tslint:disable */ /* eslint-disable */ /** * AskNews API * AskNews API [![status](https://status.asknews.app/api/badge/2/status?style=for-the-badge)](https://status.asknews.app/status/prod) * * The version of the OpenAPI document: 0.24.22 * Contact: contact@emergentmethods.ai * * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech). * https://openapi-generator.tech * Do not edit the class manually. */ import * as runtime from '../runtime'; import type { AbcAPIErrorModel105, AbcAPIErrorModel106, AbcAPIErrorModel107, AbcAPIErrorModel108, AsknewsApiErrorsAPIErrorModel, ValidationErrorModel, WikiSearchResponse, } from '../models/index'; import { AbcAPIErrorModel105FromJSON, AbcAPIErrorModel105ToJSON, AbcAPIErrorModel106FromJSON, AbcAPIErrorModel106ToJSON, AbcAPIErrorModel107FromJSON, AbcAPIErrorModel107ToJSON, AbcAPIErrorModel108FromJSON, AbcAPIErrorModel108ToJSON, AsknewsApiErrorsAPIErrorModelFromJSON, AsknewsApiErrorsAPIErrorModelToJSON, ValidationErrorModelFromJSON, ValidationErrorModelToJSON, WikiSearchResponseFromJSON, WikiSearchResponseToJSON, } from '../models/index'; export interface SearchWikiRequest { query?: string; neighborChunks?: number; nDocuments?: number; fullArticles?: boolean; hybridSearch?: boolean; stringGuarantee?: Array<string>; diversify?: number; includeMainSection?: boolean; } /** * */ export class WikiApi extends runtime.BaseAPI { /** * Search on Wikipedia content with natural language. Find exactly relevant chunks, with contextual neighbor chunks, and the full articles they came from. * Search for Wikipedia context with natural language */ async searchWikiRaw(requestParameters: SearchWikiRequest, initOverrides?: RequestInit | runtime.InitOverrideFunction): Promise<runtime.ApiResponse<WikiSearchResponse> > { const queryParameters: any = {}; if (requestParameters['query'] != null) { queryParameters['query'] = requestParameters['query']; } if (requestParameters['neighborChunks'] != null) { queryParameters['neighbor_chunks'] = requestParameters['neighborChunks']; } if (requestParameters['nDocuments'] != null) { queryParameters['n_documents'] = requestParameters['nDocuments']; } if (requestParameters['fullArticles'] != null) { queryParameters['full_articles'] = requestParameters['fullArticles']; } if (requestParameters['hybridSearch'] != null) { queryParameters['hybrid_search'] = requestParameters['hybridSearch']; } if (requestParameters['stringGuarantee'] != null) { queryParameters['string_guarantee'] = requestParameters['stringGuarantee']; } if (requestParameters['diversify'] != null) { queryParameters['diversify'] = requestParameters['diversify']; } if (requestParameters['includeMainSection'] != null) { queryParameters['include_main_section'] = requestParameters['includeMainSection']; } const headerParameters: runtime.HTTPHeaders = {}; const response = await this.request({ path: `/v1/wiki/search`, method: 'GET', headers: headerParameters, query: queryParameters, }, initOverrides); return new runtime.JSONApiResponse(response, (jsonValue) => WikiSearchResponseFromJSON(jsonValue)); } /** * Search on Wikipedia content with natural language. Find exactly relevant chunks, with contextual neighbor chunks, and the full articles they came from. * Search for Wikipedia context with natural language */ async searchWiki(requestParameters: SearchWikiRequest = {}, initOverrides?: RequestInit | runtime.InitOverrideFunction): Promise<WikiSearchResponse> { const response = await this.searchWikiRaw(requestParameters, initOverrides); return await response.value(); } }