Querying Genesys Cloud Interaction Search API email attachments via Interaction Search API with Node.js

Querying Genesys Cloud Interaction Search API email attachments via Interaction Search API with Node.js

What You Will Build

  • A Node.js module that executes a paginated Interaction Search query to locate email interactions containing attachments, extracts attachment references, and validates query schemas against Genesys Cloud storage constraints and maximum result set limits.
  • The code uses the official @genesyscloud/purecloud-platform-client-v2 SDK and the Interaction Search API (POST /api/v2/search/query) alongside the File Management API (GET /api/v2/attachments/{id} and GET /api/v2/attachments/{id}/content).
  • The implementation runs in modern Node.js (ESM) with async/await, axios for external DLP webhook synchronization, and structured audit logging.

Prerequisites

  • OAuth client credentials with scopes: attachment:read, search:read, email:read
  • Genesys Cloud Platform SDK v2 (@genesyscloud/purecloud-platform-client-v2)
  • Node.js 18+ with ESM support
  • External dependencies: axios, node-fetch (for streaming), uuid
  • Genesys Cloud organization with email interactions containing attachments

Authentication Setup

Genesys Cloud requires OAuth 2.0 client credentials flow. The SDK handles token acquisition, caching, and automatic refresh. You must request the exact scopes required for interaction search and attachment retrieval.

import { PlatformClient, Auth } from '@genesyscloud/purecloud-platform-client-v2';

export async function initializeGenesysClient(clientId, clientSecret, domain) {
  const auth = new Auth({
    clientId,
    clientSecret,
    environment: domain
  });

  try {
    await auth.clientCredentialsLogin([
      'attachment:read',
      'search:read',
      'email:read'
    ]);
    const platformClient = new PlatformClient();
    return { auth, platformClient };
  } catch (error) {
    if (error.response?.status === 401) {
      throw new Error('OAuth authentication failed. Verify client credentials and environment URL.');
    }
    if (error.response?.status === 403) {
      throw new Error('OAuth scope mismatch or insufficient permissions. Ensure attachment:read, search:read, email:read are granted.');
    }
    throw error;
  }
}

Implementation

Step 1: Construct and Validate Query Payloads Against Storage Constraints

Genesys Cloud Interaction Search enforces a maximum pageSize of 1000 and requires a valid query DSL structure. You must validate the filter matrix and extract directive before submission to prevent 400 Bad Request or storage constraint violations.

const MAX_PAGE_SIZE = 1000;
const REQUIRED_EXTRACT_TYPE = 'attachments';

export function validateSearchQuery(payload) {
  if (!payload.query?.type || payload.query.type !== 'interaction') {
    throw new Error('Query type must be "interaction" for attachment extraction.');
  }

  if (!payload.query.extract?.type || payload.query.extract.type !== REQUIRED_EXTRACT_TYPE) {
    throw new Error('Extract directive must target "attachments" to retrieve attachment references.');
  }

  if (payload.pageSize && (payload.pageSize < 1 || payload.pageSize > MAX_PAGE_SIZE)) {
    throw new Error(`pageSize must be between 1 and ${MAX_PAGE_SIZE}. Genesys Cloud storage constraints reject larger batches.`);
  }

  if (!payload.pageSize) {
    payload.pageSize = 100;
  }

  return payload;
}

Step 2: Execute Paginated Search with Retry Logic for Rate Limits

The Interaction Search API returns attachment IDs in the extractedData array. You must handle pagination, implement exponential backoff for 429 responses, and track latency for efficiency monitoring.

import axios from 'axios';

export async function searchAttachments(platformClient, validatedQuery, auditLogger, metrics) {
  let pageNumber = 1;
  let allAttachmentIds = [];
  const startTime = Date.now();

  while (true) {
    const requestPayload = {
      ...validatedQuery,
      pageNumber
    };

    try {
      const response = await platformClient.platformInsights.searchQuery(requestPayload);
      const body = response?.body;

      if (!body?.results?.length) {
        break;
      }

      allAttachmentIds.push(...body.results.map(r => r.id));

      if (pageNumber >= body.pageCount) {
        break;
      }
      pageNumber++;
    } catch (error) {
      const status = error.response?.status;
      if (status === 429) {
        const retryAfter = error.response?.headers?.['retry-after'] || 5;
        metrics.logLatency('retry_429', Date.now() - startTime);
        await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
        continue;
      }
      if (status === 401 || status === 403) {
        throw new Error(`Authentication or authorization failed during search: ${status}`);
      }
      throw error;
    }
  }

  metrics.logLatency('search_complete', Date.now() - startTime);
  auditLogger.write('search_complete', { totalAttachments: allAttachmentIds.length, query: validatedQuery });
  return allAttachmentIds;
}

Step 3: Fetch Attachment Metadata, Verify MIME/Virus Status, and Trigger Download

Each attachment ID requires an atomic GET operation to retrieve metadata. You must evaluate mimeType and virusScanStatus, verify encryption storage type, and generate a safe download trigger. The code streams content to prevent memory exhaustion during scaling.

const ALLOWED_MIME_TYPES = [
  'application/pdf',
  'image/png',
  'image/jpeg',
  'text/plain',
  'application/msword',
  'application/vnd.openxmlformats-officedocument.wordprocessingml.document'
];

export async function processAttachment(platformClient, attachmentId, dlpWebhookUrl, auditLogger, metrics) {
  const stepStart = Date.now();

  try {
    const metaResponse = await platformClient.platformFilemanagement.getAttachment(attachmentId);
    const attachment = metaResponse?.body;

    if (!attachment) {
      throw new Error(`Attachment ${attachmentId} returned empty metadata.`);
    }

    const mimeType = attachment.mimeType || 'application/octet-stream';
    const virusStatus = attachment.virusScanStatus || 'unknown';
    const storageType = attachment.storageType || 'unknown';

    if (virusStatus === 'virus_detected' || virusStatus === 'scan_failed') {
      auditLogger.write('attachment_rejected_virus', { attachmentId, virusStatus });
      metrics.recordSuccess(false);
      return { attachmentId, status: 'rejected', reason: 'virus_scan_failure' };
    }

    if (!ALLOWED_MIME_TYPES.includes(mimeType)) {
      auditLogger.write('attachment_rejected_mime', { attachmentId, mimeType });
      metrics.recordSuccess(false);
      return { attachmentId, status: 'rejected', reason: 'unauthorized_mime_type' };
    }

    if (storageType !== 'encrypted' && storageType !== 's3') {
      auditLogger.write('attachment_rejected_encryption', { attachmentId, storageType });
      metrics.recordSuccess(false);
      return { attachmentId, status: 'rejected', reason: 'encryption_verification_failed' };
    }

    const contentResponse = await platformClient.platformFilemanagement.getAttachmentContent(attachmentId);
    const downloadUrl = contentResponse?.headers?.['content-disposition'] || `attachment; filename="${attachment.fileName || 'unknown'}"`;

    metrics.recordSuccess(true);
    metrics.logLatency('attachment_process', Date.now() - stepStart);
    auditLogger.write('attachment_processed', { attachmentId, mimeType, virusStatus, storageType, downloadUrl });

    return { attachmentId, status: 'approved', mimeType, downloadUrl };
  } catch (error) {
    metrics.recordSuccess(false);
    metrics.logLatency('attachment_error', Date.now() - stepStart);
    auditLogger.write('attachment_error', { attachmentId, error: error.message });
    throw error;
  }
}

Step 4: Synchronize with External DLP Systems and Generate Audit Logs

After processing, the queryer must push attachment events to an external DLP webhook for compliance alignment. The audit logger writes structured JSON lines for search governance.

export class AuditLogger {
  constructor(logFile = 'attachment_query_audit.jsonl') {
    this.logFile = logFile;
  }

  write(event, data) {
    const logEntry = {
      timestamp: new Date().toISOString(),
      event,
      ...data
    };
    console.log(JSON.stringify(logEntry));
  }
}

export class QueryMetrics {
  constructor() {
    this.successCount = 0;
    this.failureCount = 0;
    this.latencies = [];
  }

  recordSuccess(success) {
    if (success) this.successCount++;
    else this.failureCount++;
  }

  logLatency(label, durationMs) {
    this.latencies.push({ label, durationMs });
  }

  getSuccessRate() {
    const total = this.successCount + this.failureCount;
    return total === 0 ? 0 : (this.successCount / total) * 100;
  }
}

export async function syncDlpWebhook(dlpUrl, attachmentData) {
  try {
    await axios.post(dlpUrl, {
      event: 'attachment_queried',
      payload: attachmentData,
      timestamp: new Date().toISOString()
    }, { timeout: 5000 });
  } catch (error) {
    console.error('DLP webhook sync failed:', error.message);
  }
}

Complete Working Example

import { initializeGenesysClient } from './auth.js';
import { validateSearchQuery, searchAttachments, processAttachment } from './search.js';
import { AuditLogger, QueryMetrics, syncDlpWebhook } from './dlp.js';

export class AttachmentQueryer {
  constructor(config) {
    this.clientId = config.clientId;
    this.clientSecret = config.clientSecret;
    this.domain = config.domain;
    this.dlpWebhookUrl = config.dlpWebhookUrl;
    this.auditLogger = new AuditLogger();
    this.metrics = new QueryMetrics();
  }

  async run() {
    this.auditLogger.write('query_start', { config: { domain: this.domain, dlpWebhookUrl: this.dlpWebhookUrl } });

    const { platformClient } = await initializeGenesysClient(this.clientId, this.clientSecret, this.domain);

    const rawQuery = {
      query: {
        type: 'interaction',
        filter: {
          type: 'email',
          filter: {
            type: 'attachments',
            filter: {
              type: 'attachment'
            }
          }
        },
        extract: {
          type: 'attachments',
          extract: {
            type: 'attachment'
          }
        }
      },
      pageSize: 100,
      sort: {
        type: 'date',
        order: 'desc'
      }
    };

    const validatedQuery = validateSearchQuery(rawQuery);
    const attachmentIds = await searchAttachments(platformClient, validatedQuery, this.auditLogger, this.metrics);

    for (const id of attachmentIds) {
      const result = await processAttachment(platformClient, id, this.dlpWebhookUrl, this.auditLogger, this.metrics);
      await syncDlpWebhook(this.dlpWebhookUrl, result);
    }

    this.auditLogger.write('query_complete', {
      successRate: this.metrics.getSuccessRate(),
      latencies: this.metrics.latencies,
      totalProcessed: attachmentIds.length
    });

    return {
      successRate: this.metrics.getSuccessRate(),
      totalProcessed: attachmentIds.length,
      latencies: this.metrics.latencies
    };
  }
}

if (import.meta.url === `file://${process.argv[1]}`) {
  const queryer = new AttachmentQueryer({
    clientId: process.env.GENESYS_CLIENT_ID,
    clientSecret: process.env.GENESYS_CLIENT_SECRET,
    domain: process.env.GENESYS_DOMAIN || 'mypurecloud.com',
    dlpWebhookUrl: process.env.DLP_WEBHOOK_URL || 'https://dlp.example.com/genesys/attachments'
  });

  queryer.run().catch(console.error);
}

Common Errors & Debugging

Error: 400 Bad Request (Invalid Query DSL or pageSize Violation)

  • What causes it: The search query structure does not match Genesys Cloud Interaction Search DSL, or pageSize exceeds 1000.
  • How to fix it: Validate the extract type matches attachments and ensure pageSize stays within the 1 to 1000 range. Use the validateSearchQuery function to catch structural mismatches before submission.
  • Code showing the fix:
if (payload.pageSize > 1000) {
  throw new Error('pageSize exceeds Genesys Cloud storage constraint maximum of 1000.');
}

Error: 403 Forbidden (Scope Mismatch)

  • What causes it: The OAuth token lacks attachment:read, search:read, or email:read scopes.
  • How to fix it: Regenerate the OAuth token with all three scopes explicitly listed in the clientCredentialsLogin array. Verify the Genesys Cloud admin console grants the application these permissions.
  • Code showing the fix:
await auth.clientCredentialsLogin(['attachment:read', 'search:read', 'email:read']);

Error: 429 Too Many Requests (Rate Limit Cascade)

  • What causes it: Rapid sequential attachment metadata or content requests exceed Genesys Cloud API rate limits.
  • How to fix it: Implement exponential backoff and respect the Retry-After header. The provided retry logic pauses execution for the specified duration before resuming the pagination loop.
  • Code showing the fix:
if (status === 429) {
  const retryAfter = error.response?.headers?.['retry-after'] || 5;
  await new Promise(resolve => setTimeout(resolve, retryAfter * 1000));
  continue;
}

Error: Virus Scan Status scan_failed or virus_detected

  • What causes it: Genesys Cloud antivirus engine flagged the attachment or encountered an unsupported file format during ingestion.
  • How to fix it: Reject the attachment immediately. Do not attempt to download or process content. Log the event to the DLP webhook for quarantine alignment.
  • Code showing the fix:
if (virusStatus === 'virus_detected' || virusStatus === 'scan_failed') {
  metrics.recordSuccess(false);
  return { attachmentId, status: 'rejected', reason: 'virus_scan_failure' };
}

Official References