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73 lines
1.7 KiB
TypeScript
73 lines
1.7 KiB
TypeScript
import type {
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IDataObject,
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IExecuteFunctions,
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INodeExecutionData,
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INodeProperties,
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} from 'n8n-workflow';
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import { updateDisplayOptions, wrapData } from '@utils/utilities';
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import { logRLC, responderOptions } from '../../descriptions';
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import { theHiveApiRequest } from '../../transport';
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const properties: INodeProperties[] = [{ ...logRLC, name: 'id' }, responderOptions];
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const displayOptions = {
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show: {
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resource: ['log'],
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operation: ['executeResponder'],
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},
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};
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export const description = updateDisplayOptions(displayOptions, properties);
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export async function execute(this: IExecuteFunctions, i: number): Promise<INodeExecutionData[]> {
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let responseData: IDataObject | IDataObject[] = [];
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const logId = this.getNodeParameter('id', i);
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const responderId = this.getNodeParameter('responder', i) as string;
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let body: IDataObject;
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let response;
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const qs: IDataObject = {};
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body = {
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responderId,
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objectId: logId,
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objectType: 'case_task_log',
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};
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response = await theHiveApiRequest.call(this, 'POST', '/connector/cortex/action' as string, body);
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body = {
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query: [
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{
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_name: 'listAction',
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},
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{
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_name: 'filter',
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_and: [
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{
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_field: 'cortexId',
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_value: response.cortexId,
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},
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{
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_field: 'objectId',
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_value: response.objectId,
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},
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{
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_field: 'startDate',
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_value: response.startDate,
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},
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],
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},
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],
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};
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qs.name = 'log-actions';
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do {
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response = await theHiveApiRequest.call(this, 'POST', '/v1/query', body, qs);
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} while (response.status === 'Waiting' || response.status === 'InProgress');
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responseData = response;
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const executionData = this.helpers.constructExecutionMetaData(wrapData(responseData), {
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itemData: { item: i },
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});
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return executionData;
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}
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