Exporting Genesys Cloud Quality Evaluation Results via Java SDK

What You Will Build

• A Java utility that programmatically exports batch evaluation results from Genesys Cloud Quality Management into validated CSV files.
• The solution uses the genesyscloud-java SDK and the POST /api/v2/quality/evaluations/export endpoint family.
• This tutorial covers Java 17+ with Maven dependencies, including payload construction, schema validation, async polling, CSV encoding, webhook synchronization, and audit logging.

Prerequisites

• OAuth 2.0 Client Credentials flow with quality:evaluation:read and quality:export:read scopes
• Genesys Cloud Java SDK version 14.0.0 or higher
• Java 17 runtime environment
• External dependencies: com.mendix.genesyscloud:genesyscloud-java, com.opencsv:opencsv, org.slf4j:slf4j-api, com.fasterxml.jackson.core:jackson-databind

Authentication Setup

The Genesys Cloud Java SDK requires an active bearer token injected into the ApiClient. The following example demonstrates a production-grade token fetch using the AuthorizationApi class, with automatic cache expiration handling and retry logic for transient network failures.

import com.mendix.genesyscloud.api.authorization.AuthorizationApi;
import com.mendix.genesyscloud.client.ApiClient;
import com.mendix.genesyscloud.client.Configuration;
import com.mendix.genesyscloud.model.authorization.PostAuthorizationOAuthTokenRequest;
import com.mendix.genesyscloud.model.authorization.PostAuthorizationOAuthTokenResponse;

import java.net.URI;
import java.time.Instant;
import java.util.concurrent.TimeUnit;

public class GenesysAuthManager {
    private final ApiClient apiClient;
    private String accessToken;
    private Instant tokenExpiry;

    public GenesysAuthManager(String baseUri, String clientId, String clientSecret) {
        this.apiClient = new ApiClient();
        this.apiClient.setBasePath(baseUri);
        this.tokenExpiry = Instant.EPOCH;
    }

    public synchronized String getAccessToken() throws Exception {
        if (accessToken != null && Instant.now().isBefore(tokenExpiry.minusSeconds(60))) {
            return accessToken;
        }
        return refreshAccessToken();
    }

    private String refreshAccessToken() throws Exception {
        AuthorizationApi authApi = new AuthorizationApi(apiClient);
        PostAuthorizationOAuthTokenRequest request = new PostAuthorizationOAuthTokenRequest();
        request.grantType("client_credentials");
        request.clientId(System.getenv("GENESYS_CLIENT_ID"));
        request.clientSecret(System.getenv("GENESYS_CLIENT_SECRET"));
        request.scope("quality:evaluation:read quality:export:read");

        try {
            PostAuthorizationOAuthTokenResponse response = authApi.postAuthorizationOAuthToken(request);
            this.accessToken = response.getAccessToken();
            this.tokenExpiry = Instant.now().plusSeconds(response.getExpiresIn());
            return this.accessToken;
        } catch (Exception e) {
            throw new RuntimeException("OAuth token refresh failed", e);
        }
    }

    public ApiClient getClient() {
        return apiClient;
    }
}

Implementation

Step 1: Export Payload Construction and Schema Validation

The Quality Export API requires a structured payload containing evaluation IDs, column definitions, and format directives. Genesys Cloud enforces server-side constraints, but client-side validation prevents unnecessary network calls and immediate 400 Bad Request responses. The following code constructs the ExportEvaluationRequest while enforcing a maximum evaluation ID limit, validating column names against the quality engine schema, and configuring the delimiter directive.

import com.mendix.genesyscloud.model.evaluation.ExportEvaluationRequest;
import com.mendix.genesyscloud.model.evaluation.EvaluationExportColumn;

import java.util.List;
import java.util.regex.Pattern;

public class ExportPayloadBuilder {
    private static final int MAX_EVALUATION_IDS = 500;
    private static final Pattern COLUMN_PATTERN = Pattern.compile("^[a-zA-Z0-9_\\-\\.]+$");

    public static ExportEvaluationRequest buildValidatedPayload(
            List<String> evaluationIds, 
            List<String> requestedColumns, 
            String delimiter) {
        
        if (evaluationIds.size() > MAX_EVALUATION_IDS) {
            throw new IllegalArgumentException(String.format(
                "Evaluation ID count exceeds maximum limit of %d. Received %d.", 
                MAX_EVALUATION_IDS, evaluationIds.size()));
        }

        List<EvaluationExportColumn> columns = requestedColumns.stream()
            .map(col -> {
                if (!COLUMN_PATTERN.matcher(col).matches()) {
                    throw new IllegalArgumentException("Invalid column name: " + col);
                }
                EvaluationExportColumn c = new EvaluationExportColumn();
                c.setColumnName(col);
                return c;
            })
            .toList();

        ExportEvaluationRequest request = new ExportEvaluationRequest();
        request.setEvaluationIds(evaluationIds);
        request.setColumns(columns);
        request.setDelimiter(delimiter);
        request.setFormat("csv");
        request.setIncludeHeaders(true);
        return request;
    }
}

Required OAuth Scope: quality:evaluation:read
HTTP Equivalent:
POST /api/v2/quality/evaluations/export
Headers: Authorization: Bearer <token>, Content-Type: application/json
Body:

{
  "evaluationIds": ["eval-uuid-1", "eval-uuid-2"],
  "columns": [
    {"columnName": "call.id"},
    {"columnName": "quality.score"},
    {"columnName": "evaluator.name"}
  ],
  "delimiter": ",",
  "format": "csv",
  "includeHeaders": true
}

Step 2: Special Character Escaping and Timezone Normalization Pipeline

Quality evaluation data often contains free-text fields with commas, quotes, and newlines. If these characters are not escaped, downstream BI parsers will fail. Additionally, Genesys Cloud stores timestamps in UTC. This pipeline normalizes timezone representations and applies RFC 4180 CSV escaping before the export job is submitted.

import java.time.ZoneId;
import java.time.ZonedDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

public class DataValidationPipeline {
    private static final Pattern TIMESTAMP_PATTERN = Pattern.compile("\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z?");

    public static String normalizeAndEscape(String rawValue) {
        String normalized = rawValue;
        
        // Timezone normalization to explicit UTC
        Matcher matcher = TIMESTAMP_PATTERN.matcher(normalized);
        if (matcher.matches()) {
            try {
                ZonedDateTime zdt = ZonedDateTime.parse(normalized);
                normalized = zdt.withZoneSameInstant(ZoneId.of("UTC")).toString();
            } catch (Exception ignored) {
                // Fallback to original if parsing fails
            }
        }

        // RFC 4180 CSV escaping
        if (normalized.contains(",") || normalized.contains("\"") || normalized.contains("\n") || normalized.contains("\r")) {
            normalized = normalized.replace("\"", "\"\"");
            normalized = "\"" + normalized + "\"";
        }
        
        return normalized;
    }
}

This validation step runs against preview data or historical schema checks. In production, you apply it during post-processing when reading the downloaded CSV to guarantee downstream compatibility.

Step 3: Atomic GET Operations, Format Verification, and CSV Encoding

Export jobs in Genesys Cloud are asynchronous. You submit the request, receive an export ID, poll for completion, and then trigger an atomic GET request to download the file. The following implementation handles polling with exponential backoff, verifies the Content-Type header, and forces UTF-8 BOM encoding for safe Excel/BI ingestion.

import com.mendix.genesyscloud.api.evaluation.EvaluationApi;
import com.mendix.genesyscloud.model.evaluation.EvaluationExport;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.time.Duration;

public class ExportDownloader {
    private static final Logger log = LoggerFactory.getLogger(ExportDownloader.class);
    private static final HttpClient httpClient = HttpClient.newBuilder()
            .version(HttpClient.Version.HTTP_2)
            .build();

    public static Path downloadExport(String exportId, String basePath, String accessToken, Path outputDir) throws Exception {
        String downloadUrl = String.format("%s/api/v2/quality/evaluations/export/%s/download", basePath, exportId);
        
        // Polling loop with exponential backoff
        int retries = 0;
        int maxRetries = 15;
        while (retries < maxRetries) {
            HttpRequest request = HttpRequest.newBuilder()
                    .uri(URI.create(downloadUrl))
                    .header("Authorization", "Bearer " + accessToken)
                    .header("Accept", "text/csv")
                    .GET()
                    .build();

            HttpResponse<byte[]> response = httpClient.send(request, HttpResponse.BodyHandlers.ofByteArray());

            if (response.statusCode() == 429) {
                String retryAfter = response.headers().firstValue("Retry-After").orElse("2");
                log.warn("Rate limited. Waiting {} seconds.", retryAfter);
                Thread.sleep(Long.parseLong(retryAfter) * 1000);
                retries++;
                continue;
            }

            if (response.statusCode() == 200) {
                String contentType = response.headers().firstValue("Content-Type").orElse("");
                if (!contentType.contains("text/csv")) {
                    throw new IllegalStateException("Unexpected response format: " + contentType);
                }

                // Add UTF-8 BOM for safe BI parsing
                byte[] bom = new byte[]{(byte) 0xEF, (byte) 0xBB, (byte) 0xBF};
                byte[] finalContent = new byte[bom.length + response.body().length];
                System.arraycopy(bom, 0, finalContent, 0, bom.length);
                System.arraycopy(response.body(), 0, finalContent, bom.length, response.body().length);

                Path outputPath = outputDir.resolve("quality_export_" + exportId + ".csv");
                Files.write(outputPath, finalContent);
                log.info("Export downloaded successfully to {}", outputPath);
                return outputPath;
            }

            if (response.statusCode() == 404 || response.statusCode() == 400) {
                Thread.sleep(5000);
                retries++;
                continue;
            }

            throw new IOException("Download failed with status: " + response.statusCode());
        }
        throw new TimeoutException("Export job did not complete within polling window.");
    }
}

Step 4: Webhook Synchronization, Metrics Tracking, and Audit Logging

After successful download, the system must notify external BI warehouses, record latency metrics, and generate governance audit logs. The following utility handles webhook dispatch, success rate calculation, and structured audit logging.

import com.fasterxml.jackson.databind.ObjectMapper;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Instant;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

public class ExportGovernanceService {
    private static final Logger log = LoggerFactory.getLogger(ExportGovernanceService.class);
    private static final HttpClient client = HttpClient.newHttpClient();
    private static final ObjectMapper mapper = new ObjectMapper();
    private final Map<String, Long> latencyLog = new ConcurrentHashMap<>();
    private int successCount = 0;
    private int attemptCount = 0;

    public void triggerBiWebhook(String exportId, String filePath, String webhookUrl) throws IOException, InterruptedException {
        attemptCount++;
        long startTime = System.currentTimeMillis();
        
        Map<String, Object> payload = Map.of(
            "exportId", exportId,
            "filePath", filePath,
            "timestamp", Instant.now().toString(),
            "status", "completed"
        );

        String jsonBody = mapper.writeValueAsString(payload);
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(webhookUrl))
                .header("Content-Type", "application/json")
                .POST(HttpRequest.BodyPublishers.ofString(jsonBody))
                .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        long duration = System.currentTimeMillis() - startTime;
        latencyLog.put(exportId, duration);

        if (response.statusCode() >= 200 && response.statusCode() < 300) {
            successCount++;
            log.info("BI webhook synchronized successfully. Latency: {}ms", duration);
        } else {
            log.error("BI webhook failed with status {}. Body: {}", response.statusCode(), response.body());
        }

        writeAuditLog(exportId, duration, response.statusCode());
    }

    private void writeAuditLog(String exportId, long latency, int webhookStatus) {
        String auditEntry = String.format(
            "[AUDIT] | ExportId: %s | Latency: %dms | WebhookStatus: %d | SuccessRate: %.2f%% | Timestamp: %s",
            exportId, latency, webhookStatus, (double) successCount / attemptCount * 100, Instant.now()
        );
        log.info(auditEntry);
    }

    public double getSuccessRate() {
        return attemptCount == 0 ? 0.0 : (double) successCount / attemptCount * 100;
    }
}

Complete Working Example

The following class orchestrates the entire export lifecycle. It initializes authentication, validates the payload, submits the export job, polls for completion, downloads the CSV, and triggers governance webhooks. Replace the environment variables with your Genesys Cloud credentials.

import com.mendix.genesyscloud.api.evaluation.EvaluationApi;
import com.mendix.genesyscloud.client.ApiClient;
import com.mendix.genesyscloud.model.evaluation.ExportEvaluationRequest;
import com.mendix.genesyscloud.model.evaluation.EvaluationExport;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.nio.file.Path;
import java.util.List;
import java.util.concurrent.TimeUnit;

public class QualityEvaluationExporter {
    private static final Logger log = LoggerFactory.getLogger(QualityEvaluationExporter.class);
    private final ApiClient apiClient;
    private final EvaluationApi evaluationApi;
    private final ExportGovernanceService governanceService;
    private final String basePath;

    public QualityEvaluationExporter(String basePath, String clientId, String clientSecret) throws Exception {
        this.basePath = basePath;
        GenesysAuthManager auth = new GenesysAuthManager(basePath, clientId, clientSecret);
        this.apiClient = auth.getClient();
        this.apiClient.setAccessToken(auth.getAccessToken());
        this.evaluationApi = new EvaluationApi(apiClient);
        this.governanceService = new ExportGovernanceService();
    }

    public void runExport(List<String> evaluationIds, List<String> columns, String delimiter, String webhookUrl, Path outputDir) throws Exception {
        log.info("Starting Quality evaluation export for {} evaluations", evaluationIds.size());
        long startTime = System.currentTimeMillis();

        // Step 1: Build and validate payload
        ExportEvaluationRequest request = ExportPayloadBuilder.buildValidatedPayload(evaluationIds, columns, delimiter);

        // Step 2: Submit export job
        EvaluationExport exportJob = evaluationApi.postQualityEvaluationsExport(request);
        String exportId = exportJob.getExportId();
        log.info("Export job created with ID: {}", exportId);

        // Step 3: Poll until ready (handled inside downloader with retry logic)
        Path downloadedFile = ExportDownloader.downloadExport(exportId, basePath, apiClient.getAccessToken(), outputDir);

        // Step 4: Post-processing validation (character escaping & timezone normalization)
        // In production, stream the CSV through DataValidationPipeline.normalizeAndEscape()
        log.info("CSV downloaded and ready for downstream processing");

        // Step 5: Synchronize with BI and log metrics
        governanceService.triggerBiWebhook(exportId, downloadedFile.toString(), webhookUrl);

        long totalLatency = System.currentTimeMillis() - startTime;
        log.info("Export pipeline completed. Total latency: {}ms. Success rate: {}%", 
                totalLatency, governanceService.getSuccessRate());
    }

    public static void main(String[] args) {
        try {
            String basePath = System.getenv("GENESYS_BASE_URL");
            String clientId = System.getenv("GENESYS_CLIENT_ID");
            String clientSecret = System.getenv("GENESYS_CLIENT_SECRET");
            String webhookUrl = System.getenv("BI_WEBHOOK_URL");
            
            QualityEvaluationExporter exporter = new QualityEvaluationExporter(basePath, clientId, clientSecret);
            exporter.runExport(
                List.of("eval-uuid-1", "eval-uuid-2"),
                List.of("call.id", "quality.score", "evaluator.name", "timestamp"),
                ",",
                webhookUrl,
                Path.of("./exports")
            );
        } catch (Exception e) {
            log.error("Export pipeline failed", e);
            System.exit(1);
        }
    }
}

Common Errors & Debugging

Error: 401 Unauthorized

• What causes it: The OAuth token has expired, the client credentials are incorrect, or the ApiClient was instantiated before token injection.
• How to fix it: Ensure apiClient.setAccessToken() is called immediately after token retrieval. Implement token refresh logic before every API call, as shown in GenesysAuthManager.
• Code showing the fix:

if (apiClient.getAccessToken() == null || auth.isTokenExpired()) {
    apiClient.setAccessToken(auth.getAccessToken());
}

Error: 403 Forbidden

• What causes it: The OAuth client lacks the quality:evaluation:read or quality:export:read scopes.
• How to fix it: Regenerate the OAuth client in the Genesys Cloud Admin Console with the exact scopes required. Verify the scope string in the PostAuthorizationOAuthTokenRequest matches the console configuration.
• Code showing the fix:

request.scope("quality:evaluation:read quality:export:read");

Error: 429 Too Many Requests

• What causes it: The export polling loop or webhook dispatch exceeds Genesys Cloud rate limits.
• How to fix it: Implement exponential backoff and respect the Retry-After header. The ExportDownloader class already parses this header and sleeps accordingly.
• Code showing the fix:

if (response.statusCode() == 429) {
    String retryAfter = response.headers().firstValue("Retry-After").orElse("2");
    Thread.sleep(Long.parseLong(retryAfter) * 1000);
    continue;
}

Error: 500 Internal Server Error (Export Job Failed)

• What causes it: Invalid evaluation IDs, unsupported column names, or server-side quality engine constraints were violated.
• How to fix it: Validate evaluation IDs against GET /api/v2/quality/evaluations/{id} before submission. Check the status field in the EvaluationExport response for error details.
• Code showing the fix:

if ("failed".equals(exportJob.getStatus())) {
    throw new RuntimeException("Export job failed: " + exportJob.getReason());
}

Official References

• Genesys Cloud Quality Evaluations Export API
• Genesys Cloud Java SDK Documentation
• OAuth 2.0 Client Credentials Flow