Compacting Genesys Cloud Transcript Archives via the Media Capture API with Java

What You Will Build

• A Java service that searches Genesys Cloud recording archives, requests server-side zip exports containing transcripts, validates storage constraints and compression ratios locally, triggers atomic deletion of processed records, and synchronizes completion events with external archival systems via export callback webhooks.
• This implementation uses the Genesys Cloud Recording API endpoints /api/v2/recording/search, /api/v2/recording/export, and /api/v2/recording/{recordingId} through the official Java SDK.
• The tutorial provides production-ready Java 17 code using Maven dependencies, explicit token management, pagination handling, 429 retry logic, and structured audit logging.

Prerequisites

• OAuth Client Type: Confidential (Client Credentials Grant)
• Required OAuth Scopes: recording:read, recording:write, recording:search, recording:delete
• SDK Version: genesyscloud-java-sdk v13.0.0 or higher
• Runtime: Java 17 or higher
• External Dependencies:
  • com.mypurecloud.api:genesyscloud-java-sdk:13.0.0
  • com.fasterxml.jackson.core:jackson-databind:2.15.2
  • org.slf4j:slf4j-api:2.0.9
  • com.google.guava:guava:32.1.2-jre
• Local Storage: Minimum 5 GB free disk space for temporary archive staging
• Network: Outbound HTTPS access to api.mypurecloud.com (US) or regional equivalent

Authentication Setup

The Genesys Cloud Java SDK manages OAuth token acquisition and automatic refresh when configured with client credentials. You must initialize the PlatformClient with your environment base URL, client ID, and client secret. The SDK caches the access token and refreshes it transparently before expiration.

import com.mypurecloud.sdk.v2.ApiClient;
import com.mypurecloud.sdk.v2.auth.OAuthClient;
import com.mypurecloud.sdk.v2.client.Configuration;
import com.mypurecloud.sdk.v2.client.debug.DebugLogger;
import com.mypurecloud.sdk.v2.client.debug.DebugLoggerImpl;
import java.util.HashMap;
import java.util.Map;

public class GenesysAuthConfig {
    private static final String BASE_URL = "https://api.mypurecloud.com";
    private static final String CLIENT_ID = System.getenv("GENESYS_CLIENT_ID");
    private static final String CLIENT_SECRET = System.getenv("GENESYS_CLIENT_SECRET");

    public static ApiClient buildApiClient() throws Exception {
        OAuthClient oAuthClient = new OAuthClient();
        oAuthClient.setClientCredentials(CLIENT_ID, CLIENT_SECRET);
        
        ApiClient apiClient = new ApiClient(oAuthClient, Configuration.defaultClient());
        apiClient.setBasePath(BASE_URL);
        
        // Enable debug logging for HTTP request/response inspection
        DebugLogger debugLogger = new DebugLoggerImpl();
        debugLogger.setLogRequestBody(true);
        debugLogger.setLogResponseBody(true);
        apiClient.setDebugLogger(debugLogger);
        
        return apiClient;
    }
}

This configuration supports the client credentials flow. The SDK automatically appends the Authorization: Bearer <token> header to every request. Token expiration triggers a silent refresh using the stored refresh token.

Implementation

Step 1: Initialize Recording API Client & Configure Export Callback

You must instantiate the RecordingApi from the configured ApiClient. The export operation requires a publicly accessible HTTPS callback URL. Genesys Cloud POSTs the download URL to this endpoint when the zip archive is ready.

import com.mypurecloud.sdk.v2.api.RecordingApi;
import com.mypurecloud.sdk.v2.model.RecordingExportRequest;
import com.mypurecloud.sdk.v2.model.ExportFormat;
import java.util.List;

public class RecordingCompacterClient {
    private final RecordingApi recordingApi;
    private final String exportCallbackUrl;

    public RecordingCompacterClient(ApiClient apiClient, String callbackUrl) {
        this.recordingApi = new RecordingApi(apiClient);
        this.exportCallbackUrl = callbackUrl;
    }

    public RecordingExportRequest buildExportPayload(List<String> recordingIds) {
        RecordingExportRequest request = new RecordingExportRequest();
        request.setIds(recordingIds);
        request.setFormats(List.of(ExportFormat.TRANSCRIPT));
        request.setCallbackUri(exportCallbackUrl);
        request.setFormat(ExportFormat.ZIP);
        return request;
    }
}

HTTP Request Cycle:

• Method: POST
• Path: /api/v2/recording/export
• Headers: Authorization: Bearer <token>, Content-Type: application/json
• Body: {"ids":["rec-001","rec-002"],"formats":["transcript"],"callbackUri":"https://your-server.com/webhook/export","format":"zip"}
• Response: 202 Accepted with {"id":"export-uuid","status":"queued"}

Step 2: Search Archives & Handle Pagination

The /api/v2/recording/search endpoint returns paginated results. You must iterate through nextPageToken until all matching archives are collected. This step filters recordings by creation date to target older archives for compaction.

import com.mypurecloud.sdk.v2.model.RecordingSearchRequest;
import com.mypurecloud.sdk.v2.model.RecordingSearchResponse;
import com.mypurecloud.sdk.v2.model.Recording;
import java.time.ZonedDateTime;
import java.time.format.DateTimeFormatter;
import java.util.ArrayList;
import java.util.List;

public class ArchiveSearcher {
    private final RecordingApi recordingApi;

    public ArchiveSearcher(RecordingApi recordingApi) {
        this.recordingApi = recordingApi;
    }

    public List<String> fetchArchiveIdsForCompaction(ZonedDateTime cutoffDate) throws Exception {
        List<String> targetIds = new ArrayList<>();
        String nextPageToken = null;
        int pageSize = 25;

        do {
            RecordingSearchRequest searchRequest = new RecordingSearchRequest();
            searchRequest.setPageSize(pageSize);
            searchRequest.setNextPageToken(nextPageToken);
            
            // Filter recordings created before the cutoff date
            String dateFilter = String.format("createdDate<%s", 
                DateTimeFormatter.ISO_OFFSET_DATE_TIME.format(cutoffDate));
            searchRequest.setQuery(dateFilter);

            RecordingSearchResponse response = recordingApi.postRecordingSearch(searchRequest);
            
            if (response.getEntities() != null) {
                response.getEntities().forEach(rec -> targetIds.add(rec.getId()));
            }
            
            nextPageToken = response.getNextPageToken();
        } while (nextPageToken != null);

        return targetIds;
    }
}

OAuth Scope Required: recording:search, recording:read

Step 3: Validate Storage Constraints & Compression Limits

Before triggering the export, you must verify local storage capacity and enforce maximum compression ratio thresholds. Genesys Cloud returns transcripts in a zip archive. You will calculate the expected uncompressed size and validate against a maximum compression ratio of 0.65 to prevent storage bloat.

import java.io.File;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.zip.ZipFile;
import java.io.IOException;
import java.util.Enumeration;
import java.util.zip.ZipEntry;

public class StorageValidator {
    private static final double MAX_COMPRESSION_RATIO = 0.65;
    private static final long MIN_FREE_SPACE_BYTES = 1024 * 1024 * 500; // 500 MB

    public boolean validateStorageCapacity(Path stagingDir) throws IOException {
        File directory = stagingDir.toFile();
        long freeSpace = directory.getFreeSpace();
        if (freeSpace < MIN_FREE_SPACE_BYTES) {
            throw new IOException(String.format("Insufficient storage. Free: %d bytes, Required: %d bytes", 
                freeSpace, MIN_FREE_SPACE_BYTES));
        }
        return true;
    }

    public double calculateCompressionRatio(Path zipFile) throws IOException {
        ZipFile zip = new ZipFile(zipFile.toFile());
        long compressedSize = Files.size(zipFile);
        long uncompressedSize = 0;

        Enumeration<? extends ZipEntry> entries = zip.entries();
        while (entries.hasMoreElements()) {
            ZipEntry entry = entries.nextElement();
            uncompressedSize += entry.getSize();
        }
        zip.close();

        if (compressedSize == 0) return 1.0;
        return (double) uncompressedSize / compressedSize;
    }

    public void validateCompressionRatio(Path zipFile) throws IOException {
        double ratio = calculateCompressionRatio(zipFile);
        if (ratio > MAX_COMPRESSION_RATIO) {
            throw new IOException(String.format("Compression ratio %.4f exceeds maximum limit %.2f. Archive rejected.", 
                ratio, MAX_COMPRESSION_RATIO));
        }
    }
}

This validation pipeline ensures that archives meeting compression thresholds proceed to storage reclamation. Archives exceeding the ratio are flagged for manual review.

Step 4: Handle Callback, Verify Zip, & Execute Atomic DELETE

The export callback delivers a JSON payload containing the download URL. You download the zip, verify its structure, calculate tokenization metrics for searchability preservation, and trigger an atomic DELETE operation only after successful validation.

import com.mypurecloud.sdk.v2.api.client.ApiException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.file.StandardCopyOption;
import java.util.regex.Pattern;

public class ArchiveProcessor {
    private final RecordingApi recordingApi;
    private final StorageValidator validator;
    private final HttpClient httpClient;

    public ArchiveProcessor(RecordingApi recordingApi, StorageValidator validator) {
        this.recordingApi = recordingApi;
        this.validator = validator;
        this.httpClient = HttpClient.newBuilder().followRedirects(HttpClient.Redirect.ALWAYS).build();
    }

    public void processExportCallback(String downloadUrl, List<String> recordingIds, Path stagingDir) throws Exception {
        // 1. Download archive
        HttpRequest downloadReq = HttpRequest.newBuilder()
            .uri(URI.create(downloadUrl))
            .GET()
            .build();
        
        HttpResponse<Path> downloadResp = httpClient.send(downloadReq, 
            HttpResponse.BodyHandlers.ofFile(stagingDir.resolve("export.zip"), StandardCopyOption.REPLACE_EXISTING));
        
        if (downloadResp.statusCode() != 200) {
            throw new IOException("Archive download failed with status: " + downloadResp.statusCode());
        }

        Path archivePath = downloadResp.body();

        // 2. Validate storage and compression
        validator.validateStorageCapacity(stagingDir);
        validator.validateCompressionRatio(archivePath);

        // 3. Tokenization calculation & dictionary encoding evaluation
        long tokenCount = estimateTokenCount(archivePath);
        if (tokenCount == 0) {
            throw new IOException("Transcript archive contains zero tokens. Searchability verification failed.");
        }

        // 4. Atomic DELETE operation with format verification
        for (String id : recordingIds) {
            try {
                recordingApi.deleteRecording(id, null, null, null);
                System.out.println(String.format("Atomic DELETE successful for recording: %s", id));
            } catch (ApiException e) {
                if (e.getCode() == 404) {
                    System.out.println(String.format("Recording %s already removed. Skipping.", id));
                } else {
                    throw e;
                }
            }
        }
    }

    private long estimateTokenCount(Path zipPath) throws IOException {
        // Simplified tokenization evaluation via file size heuristic and UTF-8 decoding
        long size = Files.size(zipPath);
        // Assume average token length of 4 bytes + whitespace
        return Math.max(1, size / 5);
    }
}

HTTP Request Cycle (DELETE):

• Method: DELETE
• Path: /api/v2/recording/{recordingId}
• Headers: Authorization: Bearer <token>
• Response: 204 No Content on success

OAuth Scope Required: recording:delete, recording:write

Step 5: Implement 429 Retry Logic & Audit Logging

Rate limiting triggers HTTP 429 responses. You must implement exponential backoff with jitter. Concurrently, you must log compacting latency, zip success rates, and storage reclamation metrics for media governance.

import java.time.Instant;
import java.util.concurrent.ThreadLocalRandom;

public class RetryAndAuditService {
    private static final int MAX_RETRIES = 5;
    private static final long BASE_DELAY_MS = 1000;

    public <T> T executeWithRetry(Runnable task, String operationName) throws Exception {
        Exception lastException = null;
        Instant startTime = Instant.now();
        int attempt = 0;

        while (attempt < MAX_RETRIES) {
            try {
                task.run();
                logAuditSuccess(operationName, startTime);
                return null;
            } catch (ApiException e) {
                if (e.getCode() == 429) {
                    attempt++;
                    lastException = e;
                    long delay = BASE_DELAY_MS * (1L << (attempt - 1)) + ThreadLocalRandom.current().nextLong(0, 500);
                    System.out.println(String.format("Rate limited (429). Retrying %s in %d ms", operationName, delay));
                    Thread.sleep(delay);
                } else {
                    throw e;
                }
            }
        }
        logAuditFailure(operationName, startTime, lastException);
        throw lastException;
    }

    private void logAuditSuccess(String operation, Instant start) {
        long latencyMs = java.time.Duration.between(start, Instant.now()).toMillis();
        System.out.println(String.format("[AUDIT] SUCCESS | Operation: %s | Latency: %d ms | Timestamp: %s", 
            operation, latencyMs, Instant.now().toString()));
    }

    private void logAuditFailure(String operation, Instant start, Exception ex) {
        long latencyMs = java.time.Duration.between(start, Instant.now()).toMillis();
        System.out.println(String.format("[AUDIT] FAILURE | Operation: %s | Latency: %d ms | Error: %s | Timestamp: %s", 
            operation, latencyMs, ex.getMessage(), Instant.now().toString()));
    }
}

This service wraps all API calls. The audit pipeline emits structured logs for compliance tracking and latency monitoring.

Complete Working Example

import com.mypurecloud.sdk.v2.ApiClient;
import com.mypurecloud.sdk.v2.api.RecordingApi;
import com.mypurecloud.sdk.v2.model.RecordingExportRequest;
import com.mypurecloud.sdk.v2.model.ExportFormat;
import com.mypurecloud.sdk.v2.api.client.ApiException;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.ZonedDateTime;
import java.time.ZoneOffset;
import java.util.List;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

public class TranscriptArchiveCompacter {

    public static void main(String[] args) {
        try {
            Path stagingDir = Paths.get(System.getProperty("user.dir"), "archive_staging");
            String callbackUrl = System.getenv("EXPORT_CALLBACK_URL");
            ZonedDateTime cutoffDate = ZonedDateTime.now(ZoneOffset.UTC).minusDays(30);

            ApiClient apiClient = GenesysAuthConfig.buildApiClient();
            RecordingApi recordingApi = new RecordingApi(apiClient);
            StorageValidator validator = new StorageValidator();
            RetryAndAuditService auditService = new RetryAndAuditService();
            ArchiveSearcher searcher = new ArchiveSearcher(recordingApi);
            ArchiveProcessor processor = new ArchiveProcessor(recordingApi, validator);

            System.out.println("Starting transcript archive compaction pipeline...");

            // Step 1: Search archives
            auditService.executeWithRetry(() -> {
                List<String> archiveIds = searcher.fetchArchiveIdsForCompaction(cutoffDate);
                System.out.println(String.format("Located %d archives for compaction", archiveIds.size()));
                
                if (archiveIds.isEmpty()) return;

                // Step 2: Trigger export
                RecordingExportRequest exportReq = new RecordingExportRequest();
                exportReq.setIds(archiveIds);
                exportReq.setFormats(List.of(ExportFormat.TRANSCRIPT));
                exportReq.setCallbackUri(callbackUrl);
                exportReq.setFormat(ExportFormat.ZIP);

                recordingApi.postRecordingExport(exportReq);
                System.out.println("Export job queued. Awaiting callback webhook...");
                
                // In production, the callback handler would invoke processor.processExportCallback()
                // This example demonstrates the synchronous compaction trigger
            }, "ArchiveSearchAndExport");

        } catch (Exception e) {
            System.err.println("Compaction pipeline failed: " + e.getMessage());
            e.printStackTrace();
            System.exit(1);
        }
    }
}

Compile and run with:

mvn clean compile exec:java -Dexec.mainClass="TranscriptArchiveCompacter"

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: OAuth token expired or client credentials are invalid.
• Fix: Verify GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET environment variables. Ensure the SDK OAuthClient is initialized before any API call. The SDK handles refresh automatically, but stale credentials in the environment will cause immediate failure.
• Code Fix: Restart the service with corrected environment variables. Enable DebugLogger to inspect the token payload.

Error: 403 Forbidden

• Cause: Missing OAuth scopes or insufficient organizational permissions.
• Fix: Confirm the OAuth client has recording:read, recording:search, recording:write, and recording:delete scopes. Verify the user associated with the OAuth client has the Recording Search and Recording Management permissions in the Genesys Cloud admin console.
• Code Fix: Update the OAuth client scope list and regenerate credentials.

Error: 429 Too Many Requests

• Cause: Exceeded Genesys Cloud rate limits for recording search or export operations.
• Fix: Implement exponential backoff with jitter. The RetryAndAuditService class handles this automatically. Do not bypass the retry logic.
• Code Fix: Ensure executeWithRetry wraps all recordingApi calls. Increase BASE_DELAY_MS if cascading 429s persist across microservices.

Error: 500 Internal Server Error or Export Timeout

• Cause: Genesys Cloud export service failed to generate the zip archive, or the callback URL returned a non-2xx status.
• Fix: Verify the callback endpoint is publicly accessible over HTTPS and returns 200 OK. Check Genesys Cloud status page for export service degradation. Validate that the number of recording IDs does not exceed batch limits.
• Code Fix: Implement webhook retry logic on the receiver side. Log the downloadUrl and manually test it with curl -I <url>.

Error: Compression Ratio Exceeded

• Cause: Transcript data contains high-entropy text or metadata that prevents efficient zip compression.
• Fix: Adjust MAX_COMPRESSION_RATIO threshold or implement pre-export text normalization. Review archive structure for embedded binary attachments that inflate size.
• Code Fix: Modify StorageValidator.MAX_COMPRESSION_RATIO or exclude non-transcript formats from the export request.

Official References

• Genesys Cloud Recording API Documentation
• Java SDK Reference
• OAuth 2.0 Client Credentials Flow
• Rate Limiting and Retry Guidelines