@zcatalyst/zia
Version:
ZOHO CATALYST SDK for JavaScript zia for Node.js and Browser.
82 lines (81 loc) • 2.76 kB
JavaScript
import { CONSTANTS, isNonEmptyArray, wrapValidatorsWithPromise } from '@zcatalyst/utils';
import { CatalystZiaError } from './utils/errors';
const { REQ_METHOD, CREDENTIAL_USER } = CONSTANTS;
export async function _getSentimentAnalysis(requester, listOfDocuments, keywords) {
await wrapValidatorsWithPromise(() => {
isNonEmptyArray(listOfDocuments, 'documents list', true);
if (keywords !== undefined) {
isNonEmptyArray(isNonEmptyArray(keywords, 'keywords', true));
}
}, CatalystZiaError);
const requestData = {
document: listOfDocuments,
keywords
};
const request = {
method: REQ_METHOD.post,
path: '/ml/text-analytics/sentiment-analysis',
data: requestData,
type: "json",
service: "baas",
track: true,
user: CREDENTIAL_USER.admin
};
const resp = await requester.send(request);
return resp.data.data;
}
export async function _getKeywordExtraction(requester, listOfDocuments) {
await wrapValidatorsWithPromise(() => {
isNonEmptyArray(listOfDocuments, 'documents list', true);
}, CatalystZiaError);
const request = {
method: REQ_METHOD.post,
path: '/ml/text-analytics/keyword-extraction',
data: { document: listOfDocuments },
type: "json",
service: "baas",
track: true,
user: CREDENTIAL_USER.admin
};
const resp = await requester.send(request);
return resp.data.data;
}
export async function _getNERPrediction(requester, listOfDocuments) {
await wrapValidatorsWithPromise(() => {
isNonEmptyArray(listOfDocuments, 'documents list', true);
}, CatalystZiaError);
const request = {
method: REQ_METHOD.post,
path: '/ml/text-analytics/ner',
data: { document: listOfDocuments },
type: "json",
service: "baas",
track: true,
user: CREDENTIAL_USER.admin
};
const resp = await requester.send(request);
return resp.data.data;
}
export async function _getTextAnalytics(requester, listOfDocuments, keywords) {
await wrapValidatorsWithPromise(() => {
isNonEmptyArray(listOfDocuments, 'documents list', true);
if (keywords !== undefined) {
isNonEmptyArray(isNonEmptyArray(keywords, 'keywords', true));
}
}, CatalystZiaError);
const requestData = {
document: listOfDocuments,
keywords
};
const request = {
method: REQ_METHOD.post,
path: '/ml/text-analytics',
data: requestData,
type: "json",
service: "baas",
track: true,
user: CREDENTIAL_USER.admin
};
const resp = await requester.send(request);
return resp.data.data;
}