Archiving Genesys Cloud Routing Strategy Historical Versions via REST API with TypeScript

Archiving Genesys Cloud Routing Strategy Historical Versions via REST API with TypeScript

What You Will Build

  • A TypeScript service that retrieves routing strategy versions, constructs structured archive payloads with strategy ID references and timestamp matrices, validates them against retention policies, and submits them atomically using idempotency keys.
  • This implementation interacts with the Genesys Cloud REST API endpoints /api/v2/routing/strategies/{strategyId} and /api/v2/routing/strategies/{strategyId}/versions.
  • The code is written in TypeScript with Node.js runtime and uses axios, zod, and uuid for production-grade execution.

Prerequisites

  • OAuth 2.0 Client Credentials flow with required scopes: routing:strategy:read, routing:strategy:write
  • Genesys Cloud API version: v2
  • Node.js 18+ with TypeScript 5+
  • External dependencies: npm install axios zod uuid @types/node @types/uuid

Authentication Setup

Genesys Cloud requires OAuth 2.0 Bearer tokens for all API calls. The following implementation uses the Client Credentials grant type and includes a basic in-memory token cache with automatic refresh logic.

import axios, { AxiosInstance } from 'axios';
import { v4 as uuidv4 } from 'uuid';

const GENESYS_BASE_URL = process.env.GENESYS_BASE_URL || 'https://api.mypurecloud.com';
const CLIENT_ID = process.env.GENESYS_CLIENT_ID!;
const CLIENT_SECRET = process.env.GENESYS_CLIENT_SECRET!;

interface TokenCache {
  accessToken: string;
  expiresAt: number;
}

let tokenCache: TokenCache | null = null;

async function getAuthToken(): Promise<string> {
  if (tokenCache && Date.now() < tokenCache.expiresAt - 60000) {
    return tokenCache.accessToken;
  }

  const tokenResponse = await axios.post(
    `${GENESYS_BASE_URL}/oauth/token`,
    {
      grant_type: 'client_credentials',
      client_id: CLIENT_ID,
      client_secret: CLIENT_SECRET,
      scope: 'routing:strategy:read routing:strategy:write'
    },
    {
      headers: { 'Content-Type': 'application/json' },
      auth: { username: CLIENT_ID, password: CLIENT_SECRET }
    }
  );

  tokenCache = {
    accessToken: tokenResponse.data.access_token,
    expiresAt: Date.now() + tokenResponse.data.expires_in * 1000
  };

  return tokenCache.accessToken;
}

async function createGenesysClient(): Promise<AxiosInstance> {
  const client = axios.create({ baseURL: GENESYS_BASE_URL });

  client.interceptors.request.use(async (config) => {
    config.headers.Authorization = `Bearer ${await getAuthToken()}`;
    config.headers.Accept = 'application/json';
    config.headers['Content-Type'] = 'application/json';
    return config;
  });

  return client;
}

Implementation

Step 1: Fetch Strategy Metadata and Version Matrix

The archival process begins by retrieving the routing strategy definition and its historical versions. The versions endpoint supports pagination via pageSize and cursor. This step constructs the timestamp matrix required for the archive payload.

import { AxiosInstance } from 'axios';

interface StrategyVersion {
  id: string;
  version: number;
  createdDate: string;
  modifiedDate: string;
  createdBy: { id: string; name: string };
}

interface StrategyDefinition {
  id: string;
  name: string;
  type: string;
  version: number;
  createdDate: string;
  modifiedDate: string;
}

async function fetchStrategyAndVersions(
  client: AxiosInstance,
  strategyId: string
): Promise<{ strategy: StrategyDefinition; versions: StrategyVersion[] }> {
  const strategyRes = await client.get<StrategyDefinition>(`/api/v2/routing/strategies/${strategyId}`);
  
  const versions: StrategyVersion[] = [];
  let cursor: string | undefined;
  const pageSize = 25;

  do {
    const params: Record<string, string | number> = { pageSize };
    if (cursor) params.cursor = cursor;

    const versionsRes = await client.get<{ items: StrategyVersion[]; nextUri: string }>(
      `/api/v2/routing/strategies/${strategyId}/versions`,
      { params }
    );

    versions.push(...versionsRes.data.items);
    cursor = versionsRes.data.nextUri ? new URL(versionsRes.data.nextUri).searchParams.get('cursor') : undefined;
  } while (cursor);

  return { strategy: strategyRes.data, versions };
}

Step 2: Construct Archive Payload and Validate Schema

Archive payloads must contain strategy references, version timestamp matrices, and metadata tagging directives. This step uses zod to enforce schema compatibility and checks against storage retention policies and concurrent archive limits.

import { z } from 'zod';

const ArchivePayloadSchema = z.object({
  strategyId: z.string().uuid(),
  strategyName: z.string().min(1),
  archiveTimestamp: z.string().datetime(),
  versionMatrix: z.array(z.object({
    versionId: z.string(),
    versionNumber: z.number(),
    createdDate: z.string().datetime(),
    modifiedDate: z.string().datetime(),
    metadataTags: z.record(z.string())
  })),
  retentionPolicy: z.object({
    maxVersions: z.number().positive(),
    retentionDays: z.number().positive()
  }),
  idempotencyKey: z.string().uuid()
});

type ArchivePayload = z.infer<typeof ArchivePayloadSchema>;

const MAX_CONCURRENT_ARCHIVES = 5;
let activeArchiveCount = 0;

function validateRetentionPolicy(versions: StrategyVersion[], retentionDays: number): StrategyVersion[] {
  const cutoffDate = new Date();
  cutoffDate.setDate(cutoffDate.getDate() - retentionDays);
  return versions.filter(v => new Date(v.createdDate) >= cutoffDate);
}

async function buildAndValidateArchivePayload(
  strategy: StrategyDefinition,
  versions: StrategyVersion[],
  retentionDays: number
): Promise<ArchivePayload> {
  if (activeArchiveCount >= MAX_CONCURRENT_ARCHIVES) {
    throw new Error(`Concurrent archive limit reached. Current: ${activeArchiveCount}, Max: ${MAX_CONCURRENT_ARCHIVES}`);
  }

  const retainedVersions = validateRetentionPolicy(versions, retentionDays);
  const idempotencyKey = uuidv4();

  const payload: ArchivePayload = {
    strategyId: strategy.id,
    strategyName: strategy.name,
    archiveTimestamp: new Date().toISOString(),
    versionMatrix: retainedVersions.map(v => ({
      versionId: v.id,
      versionNumber: v.version,
      createdDate: v.createdDate,
      modifiedDate: v.modifiedDate,
      metadataTags: {
        archivedBy: 'routing-strategy-archiver',
        sourceSystem: 'genesys-cloud',
        originalAuthor: v.createdBy.name
      }
    })),
    retentionPolicy: {
      maxVersions: versions.length,
      retentionDays
    },
    idempotencyKey
  };

  const parsed = ArchivePayloadSchema.parse(payload);
  activeArchiveCount++;
  return parsed;
}

Step 3: Atomic Submission with Idempotency and Backup Trigger

Archival submission requires atomic POST operations with idempotency keys to prevent duplicate storage. This step handles the HTTP submission, implements exponential backoff for 429 rate limits, and triggers automatic backup routines upon success.

import { AxiosError } from 'axios';

const ARCHIVAL_ENDPOINT = process.env.ARCHIVAL_ENDPOINT || 'https://internal-archive.example.com/api/v1/strategy-archives';

async function submitArchivePayload(payload: ArchivePayload): Promise<void> {
  const headers = {
    'Content-Type': 'application/json',
    'Idempotency-Key': payload.idempotencyKey
  };

  const maxRetries = 3;
  let retryDelay = 1000;

  for (let attempt = 1; attempt <= maxRetries; attempt++) {
    try {
      const response = await axios.post(ARCHIVAL_ENDPOINT, payload, { headers });
      if (response.status >= 200 && response.status < 300) {
        console.log(`Archive submitted successfully. ID: ${response.data.archiveId}`);
        triggerBackupRoutine(payload);
        return;
      }
    } catch (error) {
      const axiosError = error as AxiosError;
      if (axiosError.response?.status === 429) {
        console.warn(`Rate limited on attempt ${attempt}. Retrying in ${retryDelay}ms`);
        await new Promise(resolve => setTimeout(resolve, retryDelay));
        retryDelay *= 2;
        continue;
      }
      if (axiosError.response?.status === 409) {
        console.log('Idempotency key conflict detected. Archive already exists.');
        return;
      }
      throw axiosError;
    }
  }
  throw new Error('Max retries exceeded for archive submission.');
}

function triggerBackupRoutine(payload: ArchivePayload): void {
  console.log(`Backup trigger initiated for strategy ${payload.strategyId}. Versions: ${payload.versionMatrix.length}`);
  // Implement backup logic: replicate payload to cold storage, update database ledger, etc.
}

Step 4: Webhook Synchronization, Metrics, and Audit Logging

Post-submission, the system must synchronize completion events with external version control platforms, track archival latency and success rates, and generate immutable audit logs for governance compliance.

interface ArchiveMetrics {
  latencyMs: number;
  success: boolean;
  timestamp: string;
}

interface AuditLogEntry {
  action: string;
  strategyId: string;
  idempotencyKey: string;
  metadata: Record<string, unknown>;
  recordedAt: string;
}

const metricsBuffer: ArchiveMetrics[] = [];
const auditLogBuffer: AuditLogEntry[] = [];

async function synchronizeAndLog(
  payload: ArchivePayload,
  startTime: number,
  success: boolean,
  webhookUrl: string
): Promise<void> {
  const latencyMs = Date.now() - startTime;
  const metrics: ArchiveMetrics = {
    latencyMs,
    success,
    timestamp: new Date().toISOString()
  };
  metricsBuffer.push(metrics);

  const auditEntry: AuditLogEntry = {
    action: success ? 'ARCHIVE_SUBMITTED' : 'ARCHIVE_FAILED',
    strategyId: payload.strategyId,
    idempotencyKey: payload.idempotencyKey,
    metadata: {
      versionCount: payload.versionMatrix.length,
      latencyMs,
      retentionDays: payload.retentionPolicy.retentionDays
    },
    recordedAt: new Date().toISOString()
  };
  auditLogBuffer.push(auditEntry);

  if (success && webhookUrl) {
    try {
      await axios.post(webhookUrl, {
        event: 'strategy.archive.completed',
        payload: {
          strategyId: payload.strategyId,
          versionCount: payload.versionMatrix.length,
          archiveTimestamp: payload.archiveTimestamp,
          idempotencyKey: payload.idempotencyKey
        }
      }, { timeout: 5000 });
    } catch (webhookError) {
      console.error('Webhook synchronization failed:', webhookError);
    }
  }

  console.log(`Audit log recorded: ${auditEntry.action} | Latency: ${latencyMs}ms`);
}

export function getArchiveMetrics(): ArchiveMetrics[] {
  return metricsBuffer;
}

export function getAuditLogs(): AuditLogEntry[] {
  return auditLogBuffer;
}

Complete Working Example

The following module exposes a RoutingStrategyArchiver class that orchestrates the entire workflow. It handles authentication, data retrieval, validation, submission, metrics tracking, and cleanup of concurrent limits.

import { AxiosInstance } from 'axios';

class RoutingStrategyArchiver {
  private client: AxiosInstance;
  private webhookUrl: string;
  private retentionDays: number;

  constructor(webhookUrl: string, retentionDays: number) {
    this.webhookUrl = webhookUrl;
    this.retentionDays = retentionDays;
    this.client = createGenesysClient();
  }

  async archiveStrategy(strategyId: string): Promise<{ success: boolean; idempotencyKey: string }> {
    const startTime = Date.now();
    let success = false;
    let idempotencyKey = '';

    try {
      console.log(`Fetching strategy ${strategyId} and versions...`);
      const { strategy, versions } = await fetchStrategyAndVersions(this.client, strategyId);

      console.log(`Validating schema and retention policy...`);
      const payload = await buildAndValidateArchivePayload(strategy, versions, this.retentionDays);
      idempotencyKey = payload.idempotencyKey;

      console.log(`Submitting archive payload...`);
      await submitArchivePayload(payload);
      success = true;
    } catch (error) {
      console.error('Archival pipeline failed:', error);
      success = false;
    } finally {
      if (activeArchiveCount > 0) activeArchiveCount--;
      await synchronizeAndLog(
        { strategyId, idempotencyKey, archiveTimestamp: new Date().toISOString(), versionMatrix: [], retentionPolicy: { maxVersions: 0, retentionDays: this.retentionDays }, strategyName: '' },
        startTime,
        success,
        this.webhookUrl
      );
    }

    return { success, idempotencyKey };
  }
}

export { RoutingStrategyArchiver, getArchiveMetrics, getAuditLogs };

Usage example:

(async () => {
  const archiver = new RoutingStrategyArchiver('https://vcs.example.com/webhooks/genesys-archives', 365);
  const result = await archiver.archiveStrategy('11a2b3c4-d5e6-7f8g-9h0i-1j2k3l4m5n6o');
  console.log('Archive result:', result);
  console.log('Metrics:', getArchiveMetrics());
  console.log('Audit Logs:', getAuditLogs());
})();

Common Errors & Debugging

Error: 401 Unauthorized

  • Cause: The OAuth token has expired or the client credentials are invalid.
  • Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables. Ensure the token cache refreshes before expires_in elapses. The getAuthToken function includes a 60-second safety buffer to prevent mid-request expiration.
  • Code Fix: The interceptor in createGenesysClient automatically fetches a fresh token on every request cycle. If errors persist, check the OAuth client configuration in the Genesys Cloud admin console.

Error: 429 Too Many Requests

  • Cause: Genesys Cloud enforces rate limits per tenant and per endpoint. High-frequency version pagination or concurrent archive submissions trigger throttling.
  • Fix: Implement exponential backoff. The submitArchivePayload function includes a retry loop that doubles the delay on each 429 response. Adjust pageSize in pagination to reduce request volume.
  • Code Fix: The retry logic in Step 3 handles this automatically. Ensure your archival pipeline respects the MAX_CONCURRENT_ARCHIVES threshold to prevent cascading rate limits.

Error: Idempotency Key Conflict (409)

  • Cause: A duplicate Idempotency-Key header was sent for the same archival operation.
  • Fix: Idempotency keys must be unique per logical operation. The uuidv4() generator ensures uniqueness. If a 409 occurs, treat it as a successful archival since the payload was already processed.
  • Code Fix: The submitArchivePayload function catches 409 responses and returns early without throwing an error.

Error: Schema Validation Failure

  • Cause: The version matrix contains malformed dates, missing metadata tags, or retention policy violations.
  • Fix: Verify that createdDate and modifiedDate fields conform to ISO 8601 format. Ensure zod schema matches the actual Genesys Cloud response structure.
  • Code Fix: The ArchivePayloadSchema.parse() call throws a descriptive ZodError listing exactly which fields failed validation. Log the error and inspect the raw API response before retrying.

Official References