@memori.ai/memori-api-client/esm/apiFetcher.js

React library to integrate a Memori in your app or website

import { default as fetch } from 'cross-fetch';
export const apiFetcher = (path, opts) => fetch(`${opts.apiUrl}${path}`, {
    ...opts,
    body: (opts === null || opts === void 0 ? void 0 : opts.body) ? JSON.stringify(opts.body) : undefined,
    mode: 'cors',
    credentials: 'include',
    headers: {
        'Content-Type': 'application/json',
        ...opts === null || opts === void 0 ? void 0 : opts.headers,
    },
}).then(res => ((opts === null || opts === void 0 ? void 0 : opts.text) ? res.text() : res.json()));
export const apiBinaryFetcher = async (path, opts) => {
    const responseType = (opts === null || opts === void 0 ? void 0 : opts.responseType) || 'arrayBuffer';
    return fetch(`${opts.apiUrl}${path}`, {
        method: opts.method || 'GET',
        body: (opts === null || opts === void 0 ? void 0 : opts.body) ? JSON.stringify(opts.body) : undefined,
        mode: 'cors',
        credentials: 'include',
        headers: {
            'Content-Type': 'application/json',
            Accept: 'application/octet-stream, application/zip',
            ...opts === null || opts === void 0 ? void 0 : opts.headers,
        },
    }).then(async (res) => {
        if (!res.ok) {
            throw new Error(`API responded with status: ${res.status}`);
        }
        return responseType === 'blob' ? res.blob() : res.arrayBuffer();
    });
};
//# sourceMappingURL=apiFetcher.js.map