Processing Genesys Cloud Media Analysis Pipelines via the Media Processing API with Java

What You Will Build

This tutorial builds a production-ready Java module that submits audio recordings to a Genesys Cloud Media Processing pipeline, validates pipeline constraints before submission, configures outbound webhooks for data lake synchronization, tracks processing latency, and generates structured audit logs for media governance. The implementation uses the Genesys Cloud Java SDK (com.mypurecloud.api.client) and targets the /api/v2/mediaprocessing/media and /api/v2/mediaprocessing/pipelines endpoints. The code is written in Java 17 and includes retry logic, schema validation, and atomic POST operations.

Prerequisites

• OAuth Client Type: Client Credentials Flow (Confidential Client)
• Required OAuth Scopes: mediaprocessing:media:submit, mediaprocessing:media:view, mediaprocessing:pipeline:view, webhook:manage, usage:quota:view
• SDK Version: com.mypurecloud.api.client:8.0.0 or newer
• Runtime: Java 17 or later
• External Dependencies: com.google.code.gson:gson:2.10.1 for audit log serialization, org.slf4j:slf4j-api:2.0.9 for structured logging
• Environment Variables: GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, GENESYS_ORGANIZATION_ID

Authentication Setup

The Genesys Cloud Java SDK handles OAuth2 token acquisition and automatic refresh. You must configure the ApiClient with a base URI and attach an OAuthClientCredentials instance. The SDK caches tokens in memory and refreshes them before expiration.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.auth.oauth.OAuthClientCredentials;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

public class GenesysAuthManager {
    private static final String BASE_URI = "https://api.mypurecloud.com";
    private final String clientId;
    private final String clientSecret;
    private final ApiClient apiClient;
    private final Map<String, String> tokenCache = new ConcurrentHashMap<>();

    public GenesysAuthManager(String clientId, String clientSecret) {
        this.clientId = clientId;
        this.clientSecret = clientSecret;
        this.apiClient = ApiClient.configClient()
                .withBaseUri(BASE_URI)
                .build();
        OAuthClientCredentials credentials = new OAuthClientCredentials(clientId, clientSecret);
        apiClient.setAuth(credentials);
    }

    public ApiClient getApiClient() {
        return apiClient;
    }

    public boolean isAuthorized() {
        try {
            apiClient.getPlatformUserMe();
            return true;
        } catch (Exception e) {
            return false;
        }
    }
}

The ApiClient automatically attaches the Authorization: Bearer <token> header to all outbound requests. If the token expires, the SDK intercepts the 401 response, triggers a silent refresh using the client credentials, and retries the original request. You must ensure the OAuth application has the required scopes granted in the Genesys Cloud admin console.

Implementation

Step 1: Initialize SDK and Validate Pipeline Constraints

Before submitting media, you must verify that the target pipeline supports the required task matrix (transcription, PII redaction) and does not exceed maximum concurrent task limits. Fetch the pipeline configuration using GET /api/v2/mediaprocessing/pipelines/{pipelineId}.

import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.client.api.MediaProcessingApi;
import com.mypurecloud.api.client.model.Pipeline;
import com.mypurecloud.api.client.model.PipelineTask;

public class PipelineValidator {
    private final MediaProcessingApi mediaProcessingApi;

    public PipelineValidator(ApiClient apiClient) {
        this.mediaProcessingApi = new MediaProcessingApi(apiClient);
    }

    public Pipeline validatePipeline(String pipelineId) throws ApiException {
        Pipeline pipeline = mediaProcessingApi.getMediaprocessingPipeline(pipelineId);
        
        boolean hasTranscription = pipeline.getTasks().stream()
                .anyMatch(PipelineTask::getTranscription);
        boolean hasPiiRedaction = pipeline.getTasks().stream()
                .anyMatch(PipelineTask::getPiiRedaction);
        
        if (!hasTranscription || !hasPiiRedaction) {
            throw new IllegalArgumentException("Pipeline does not contain required transcription or PII redaction tasks.");
        }
        
        if (pipeline.getMaxConcurrentTasks() == null || pipeline.getMaxConcurrentTasks() <= 0) {
            throw new IllegalStateException("Pipeline has no concurrent task capacity configured.");
        }
        
        return pipeline;
    }
}

HTTP Request Cycle:

GET /api/v2/mediaprocessing/pipelines/{pipelineId} HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Accept: application/json

Expected Response (200 OK):

{
  "id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "name": "Audio Analysis Pipeline",
  "description": "Transcription with PII redaction",
  "tasks": [
    { "transcription": true, "piiRedaction": true, "sentimentAnalysis": false }
  ],
  "maxConcurrentTasks": 50,
  "supportedMediaTypes": ["audio/mpeg", "audio/wav"]
}

Step 2: Verify Storage Quotas and Codec Compatibility

Genesys Cloud enforces storage quotas per organization. Query /api/v2/usage/quotas to verify available storage before submission. You must also validate that the media codec matches the pipeline’s supportedMediaTypes.

import com.mypurecloud.api.client.api.UsageApi;
import com.mypurecloud.api.client.model.QuotaUsage;
import java.util.List;
import java.util.stream.Collectors;

public class QuotaAndCodecValidator {
    private final UsageApi usageApi;

    public QuotaAndCodecValidator(ApiClient apiClient) {
        this.usageApi = new UsageApi(apiClient);
    }

    public void verifyStorageQuota(String organizationId) throws Exception {
        QuotaUsage quota = usageApi.getUsageQuotas(organizationId);
        List<QuotaUsage.QuotaUsageInner> quotas = quota.getQuotas();
        
        long usedStorage = quotas.stream()
                .filter(q -> "storage".equals(q.getCategory()) && "media".equals(q.getSubcategory()))
                .mapToLong(QuotaUsage.QuotaUsageInner::getUsed)
                .sum();
                
        long maxStorage = quotas.stream()
                .filter(q -> "storage".equals(q.getCategory()) && "media".equals(q.getSubcategory()))
                .mapToLong(QuotaUsage.QuotaUsageInner::getMax)
                .sum();
                
        if (usedStorage >= maxStorage) {
            throw new IllegalStateException("Organization storage quota exhausted. Cannot submit new media.");
        }
    }

    public boolean isCodecSupported(String mediaContentType, List<String> supportedTypes) {
        return supportedTypes.stream().anyMatch(supported -> mediaContentType.startsWith(supported));
    }
}

Step 3: Construct and Submit Atomic Processing Payload

The submission uses an atomic POST /api/v2/mediaprocessing/media operation. The payload must include the pipelineId, mediaId, and a deterministic runId to prevent duplicate processing runs. Implement exponential backoff for 429 rate limit responses.

import com.mypurecloud.api.client.model.SubmitMediaRequest;
import com.mypurecloud.api.client.model.MediaProcessingMedia;
import java.util.UUID;
import java.time.Instant;

public class MediaProcessor {
    private final MediaProcessingApi mediaProcessingApi;
    private final int maxRetries = 3;

    public MediaProcessor(ApiClient apiClient) {
        this.mediaProcessingApi = new MediaProcessingApi(apiClient);
    }

    public MediaProcessingMedia submitMedia(String pipelineId, String mediaId, String runId) throws Exception {
        SubmitMediaRequest request = new SubmitMediaRequest()
                .pipelineId(pipelineId)
                .mediaId(mediaId)
                .runId(runId != null ? runId : UUID.randomUUID().toString());

        int attempt = 0;
        while (attempt < maxRetries) {
            try {
                return mediaProcessingApi.postMediaprocessingMedia(request);
            } catch (ApiException e) {
                if (e.getCode() == 429) {
                    long retryAfter = e.getHeaders().containsKey("Retry-After") 
                            ? Long.parseLong(e.getHeaders().get("Retry-After")) 
                            : Math.pow(2, attempt);
                    Thread.sleep(retryAfter * 1000);
                    attempt++;
                } else if (e.getCode() >= 500) {
                    Thread.sleep(1000 * (attempt + 1));
                    attempt++;
                } else {
                    throw e;
                }
            }
        }
        throw new Exception("Max retries exceeded for media submission.");
    }
}

HTTP Request Cycle:

POST /api/v2/mediaprocessing/media HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer <access_token>
Content-Type: application/json
Accept: application/json

{
  "pipelineId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "mediaId": "recording-987654321",
  "runId": "run-20241015-001"
}

Expected Response (202 Accepted):

{
  "id": "media-proc-xyz789",
  "pipelineId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "mediaId": "recording-987654321",
  "runId": "run-20241015-001",
  "status": "submitted",
  "createdAt": "2024-10-15T14:32:00Z"
}

Step 4: Configure Webhook Triggers for External Data Lake Sync

Genesys Cloud emits mediaprocessing.media.processed events when pipelines complete. Register an outbound webhook to synchronize results with an external data lake. Use POST /api/v2/platform/webhooks.

import com.mypurecloud.api.client.api.WebhookApi;
import com.mypurecloud.api.client.model.Webhook;
import com.mypurecloud.api.client.model.WebhookEvent;
import java.util.List;

public class WebhookConfigurator {
    private final WebhookApi webhookApi;

    public WebhookConfigurator(ApiClient apiClient) {
        this.webhookApi = new WebhookApi(apiClient);
    }

    public Webhook configureDataLakeSync(String targetUrl) throws Exception {
        Webhook webhook = new Webhook()
                .name("Media Processing Data Lake Sync")
                .description("Forwards completed media processing results to external storage")
                .enabled(true)
                .endpointUrl(targetUrl)
                .eventTypes(List.of(new WebhookEvent()
                        .eventType("mediaprocessing.media.processed")
                        .includeHeaders(List.of("Content-Type"))
                        .includeBody(true)));
                        
        return webhookApi.postWebhook(webhook);
    }
}

The webhook payload includes the final transcription text, PII redaction mappings, and run metadata. Your external listener must validate the X-Genesys-Signature header to verify authenticity.

Step 5: Track Latency, Success Rates, and Generate Audit Logs

Implement a governance layer that records submission timestamps, monitors processing status via polling, calculates latency, and writes structured audit entries. Use GET /api/v2/mediaprocessing/media/{mediaId} to check run status.

import com.mypurecloud.api.client.model.MediaProcessingRun;
import com.google.gson.Gson;
import java.time.Instant;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.logging.Logger;
import java.util.logging.Level;

public class ProcessingAuditor {
    private static final Logger LOGGER = Logger.getLogger(ProcessingAuditor.class.getName());
    private final MediaProcessingApi mediaProcessingApi;
    private final Gson gson = new Gson();
    private final AtomicInteger successCount = new AtomicInteger(0);
    private final AtomicInteger failureCount = new AtomicInteger(0);

    public ProcessingAuditor(ApiClient apiClient) {
        this.mediaProcessingApi = new MediaProcessingApi(apiClient);
    }

    public void auditSubmission(String mediaId, Instant submissionTime) throws Exception {
        long startNanos = System.nanoTime();
        boolean completed = false;
        
        while (!completed) {
            MediaProcessingRun run = mediaProcessingApi.getMediaprocessingMedia(mediaId);
            String status = run.getStatus();
            
            if ("completed".equals(status)) {
                long latencyMs = (System.nanoTime() - startNanos) / 1_000_000;
                successCount.incrementAndGet();
                logAuditEntry(mediaId, "SUCCESS", latencyMs, submissionTime);
                completed = true;
            } else if ("failed".equals(status)) {
                failureCount.incrementAndGet();
                logAuditEntry(mediaId, "FAILURE", System.nanoTime() - startNanos, submissionTime);
                completed = true;
            } else {
                Thread.sleep(5000);
            }
        }
    }

    private void logAuditEntry(String mediaId, String result, long latencyNanos, Instant submissionTime) {
        String auditJson = gson.toJson(Map.of(
                "mediaId", mediaId,
                "result", result,
                "latencyNanos", latencyNanos,
                "submissionTime", submissionTime.toString(),
                "completionTime", Instant.now().toString(),
                "successRate", String.format("%.2f%%", 
                        (double) successCount.get() / (successCount.get() + failureCount.get()) * 100)
        ));
        LOGGER.info("AUDIT: " + auditJson);
    }
}

Complete Working Example

The following module integrates authentication, validation, submission, webhook configuration, and auditing into a single executable class. Replace placeholder credentials and identifiers before execution.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.auth.oauth.OAuthClientCredentials;
import com.mypurecloud.api.client.api.MediaProcessingApi;
import com.mypurecloud.api.client.api.UsageApi;
import com.mypurecloud.api.client.api.WebhookApi;
import com.mypurecloud.api.client.model.Pipeline;
import com.mypurecloud.api.client.model.SubmitMediaRequest;
import com.mypurecloud.api.client.model.MediaProcessingMedia;
import com.mypurecloud.api.client.model.Webhook;
import com.mypurecloud.api.client.model.WebhookEvent;
import com.google.gson.Gson;
import java.time.Instant;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.logging.Logger;
import java.util.logging.Level;

public class GenesysMediaPipelineProcessor {
    private static final Logger LOGGER = Logger.getLogger(GenesysMediaPipelineProcessor.class.getName());
    private final ApiClient apiClient;
    private final MediaProcessingApi mediaProcessingApi;
    private final UsageApi usageApi;
    private final WebhookApi webhookApi;
    private final Gson gson = new Gson();
    private final AtomicInteger successCount = new AtomicInteger(0);
    private final AtomicInteger failureCount = new AtomicInteger(0);

    public GenesysMediaPipelineProcessor(String clientId, String clientSecret) {
        this.apiClient = ApiClient.configClient()
                .withBaseUri("https://api.mypurecloud.com")
                .build();
        OAuthClientCredentials credentials = new OAuthClientCredentials(clientId, clientSecret);
        this.apiClient.setAuth(credentials);
        
        this.mediaProcessingApi = new MediaProcessingApi(apiClient);
        this.usageApi = new UsageApi(apiClient);
        this.webhookApi = new WebhookApi(apiClient);
    }

    public void executeProcessingPipeline(String organizationId, String pipelineId, String mediaId, String webhookUrl) throws Exception {
        validatePipelineConstraints(pipelineId);
        verifyStorageQuota(organizationId);
        configureDataLakeSync(webhookUrl);
        
        String runId = UUID.randomUUID().toString();
        Instant submissionTime = Instant.now();
        LOGGER.info("Submitting media: " + mediaId + " to pipeline: " + pipelineId);
        
        SubmitMediaRequest request = new SubmitMediaRequest()
                .pipelineId(pipelineId)
                .mediaId(mediaId)
                .runId(runId);
                
        MediaProcessingMedia submitted = submitWithRetry(request);
        LOGGER.info("Submission accepted. Run ID: " + runId);
        
        auditSubmission(submitted.getId(), submissionTime);
    }

    private void validatePipelineConstraints(String pipelineId) throws Exception {
        Pipeline pipeline = mediaProcessingApi.getMediaprocessingPipeline(pipelineId);
        boolean hasTranscription = pipeline.getTasks().stream().anyMatch(t -> Boolean.TRUE.equals(t.getTranscription()));
        boolean hasPiiRedaction = pipeline.getTasks().stream().anyMatch(t -> Boolean.TRUE.equals(t.getPiiRedaction()));
        
        if (!hasTranscription || !hasPiiRedaction) {
            throw new IllegalArgumentException("Pipeline missing required transcription or PII redaction tasks.");
        }
        if (pipeline.getMaxConcurrentTasks() == null || pipeline.getMaxConcurrentTasks() <= 0) {
            throw new IllegalStateException("Pipeline concurrent task limit is invalid.");
        }
        LOGGER.info("Pipeline validation passed. Max concurrent tasks: " + pipeline.getMaxConcurrentTasks());
    }

    private void verifyStorageQuota(String organizationId) throws Exception {
        var quota = usageApi.getUsageQuotas(organizationId);
        long used = quota.getQuotas().stream()
                .filter(q -> "storage".equals(q.getCategory()) && "media".equals(q.getSubcategory()))
                .mapToLong(q -> q.getUsed() != null ? q.getUsed() : 0).sum();
        long max = quota.getQuotas().stream()
                .filter(q -> "storage".equals(q.getCategory()) && "media".equals(q.getSubcategory()))
                .mapToLong(q -> q.getMax() != null ? q.getMax() : 0).sum();
                
        if (used >= max) {
            throw new IllegalStateException("Storage quota exhausted. Used: " + used + ", Max: " + max);
        }
        LOGGER.info("Storage quota verified. Available: " + (max - used));
    }

    private MediaProcessingMedia submitWithRetry(SubmitMediaRequest request) throws Exception {
        int attempt = 0;
        int maxRetries = 3;
        while (attempt < maxRetries) {
            try {
                return mediaProcessingApi.postMediaprocessingMedia(request);
            } catch (Exception e) {
                if (e instanceof com.mypurecloud.api.client.ApiException apiEx && apiEx.getCode() == 429) {
                    long retryAfter = apiEx.getHeaders().containsKey("Retry-After") 
                            ? Long.parseLong(apiEx.getHeaders().get("Retry-After")) 
                            : (long) Math.pow(2, attempt);
                    LOGGER.warning("Rate limited. Retrying in " + retryAfter + "s");
                    Thread.sleep(retryAfter * 1000);
                    attempt++;
                } else if (e instanceof com.mypurecloud.api.client.ApiException apiEx && apiEx.getCode() >= 500) {
                    Thread.sleep(1000 * (attempt + 1));
                    attempt++;
                } else {
                    throw e;
                }
            }
        }
        throw new Exception("Submission failed after " + maxRetries + " retries.");
    }

    private void configureDataLakeSync(String targetUrl) throws Exception {
        Webhook webhook = new Webhook()
                .name("Media Processing Data Lake Sync")
                .enabled(true)
                .endpointUrl(targetUrl)
                .eventTypes(List.of(new WebhookEvent()
                        .eventType("mediaprocessing.media.processed")
                        .includeBody(true)));
        webhookApi.postWebhook(webhook);
        LOGGER.info("Webhook configured for data lake synchronization.");
    }

    private void auditSubmission(String mediaId, Instant submissionTime) throws Exception {
        long startNanos = System.nanoTime();
        boolean completed = false;
        while (!completed) {
            var run = mediaProcessingApi.getMediaprocessingMedia(mediaId);
            String status = run.getStatus();
            if ("completed".equals(status)) {
                long latencyMs = (System.nanoTime() - startNanos) / 1_000_000;
                successCount.incrementAndGet();
                writeAuditLog(mediaId, "SUCCESS", latencyMs, submissionTime);
                completed = true;
            } else if ("failed".equals(status)) {
                failureCount.incrementAndGet();
                writeAuditLog(mediaId, "FAILURE", (System.nanoTime() - startNanos) / 1_000_000, submissionTime);
                completed = true;
            } else {
                Thread.sleep(5000);
            }
        }
    }

    private void writeAuditLog(String mediaId, String result, long latencyMs, Instant submissionTime) {
        double successRate = (double) successCount.get() / (successCount.get() + failureCount.get()) * 100;
        String auditJson = gson.toJson(Map.of(
                "mediaId", mediaId,
                "result", result,
                "latencyMs", latencyMs,
                "submissionTime", submissionTime.toString(),
                "completionTime", Instant.now().toString(),
                "successRatePercent", String.format("%.2f", successRate)
        ));
        LOGGER.info("AUDIT_LOG: " + auditJson);
    }

    public static void main(String[] args) throws Exception {
        String clientId = System.getenv("GENESYS_CLIENT_ID");
        String clientSecret = System.getenv("GENESYS_CLIENT_SECRET");
        String orgId = System.getenv("GENESYS_ORGANIZATION_ID");
        String pipelineId = args.length > 0 ? args[0] : "default-pipeline-id";
        String mediaId = args.length > 1 ? args[1] : "sample-media-id";
        String webhookUrl = args.length > 2 ? args[2] : "https://your-data-lake-endpoint.com/ingest";
        
        GenesysMediaPipelineProcessor processor = new GenesysMediaPipelineProcessor(clientId, clientSecret);
        processor.executeProcessingPipeline(orgId, pipelineId, mediaId, webhookUrl);
    }
}

Common Errors & Debugging

Error: 400 Bad Request - Invalid Media Format or Missing Pipeline

Cause: The media file codec does not match the pipeline’s supportedMediaTypes, or the pipeline ID references a disabled pipeline.
Fix: Query the pipeline configuration first. Verify the media content type against pipeline.getSupportedMediaTypes(). Ensure the media asset exists in Genesys Cloud media storage before submission.
Code Fix:

if (!isCodecSupported(mediaContentType, pipeline.getSupportedMediaTypes())) {
    throw new IllegalArgumentException("Codec mismatch. Media: " + mediaContentType + ", Pipeline supports: " + pipeline.getSupportedMediaTypes());
}

Error: 401 Unauthorized / 403 Forbidden

Cause: OAuth token expired, client credentials revoked, or missing required scopes (mediaprocessing:media:submit, mediaprocessing:pipeline:view).
Fix: Verify the OAuth application in the Genesys Cloud admin console has all required scopes granted. Ensure the ApiClient is initialized with valid client credentials. The SDK automatically retries 401 with token refresh, but persistent failures indicate misconfigured scopes.

Error: 429 Too Many Requests

Cause: Exceeded Genesys Cloud rate limits for media processing submissions (typically 100 requests per minute per client).
Fix: Implement exponential backoff with Retry-After header parsing. The provided submitWithRetry method handles this automatically. Scale submission throughput by distributing load across multiple OAuth clients if processing volume exceeds limits.

Error: 500 Internal Server Error - Pipeline Task Failure

Cause: The pipeline encountered an unrecoverable error during transcription or PII redaction. This often occurs with corrupted audio files or unsupported sample rates.
Fix: Check the webhook payload or poll GET /api/v2/mediaprocessing/media/{mediaId} for detailed error messages. Verify audio files are valid WAV/MP3 with sample rates between 8kHz and 48kHz. Re-submit with a clean media asset.

Official References

• Media Processing API Documentation
• Java SDK Reference
• OAuth Client Credentials Flow
• Platform Webhooks Documentation
• Usage Quotas API