Ingest Custom Audio into Genesys Cloud Speech Analytics with Go

Ingest Custom Audio into Genesys Cloud Speech Analytics with Go

What You Will Build

  • A Go service that validates external audio files, constructs compliant ingest payloads, and triggers transcription jobs via the Genesys Cloud Speech Analytics API.
  • This implementation uses the platformclientv4 Go SDK and the /api/v2/speech/analytics/ingest endpoint.
  • The code is written in Go 1.21 and demonstrates atomic POST operations, 429 retry logic, webhook synchronization, and audit logging.

Prerequisites

  • OAuth2 Client Credentials grant configured in Genesys Cloud Admin
  • Required scopes: speechanalytics:ingest, speechanalytics:analytics, file:read
  • Genesys Cloud Go SDK: github.com/MyPureCloud/platform-client-v4-go/platformclientv4 v4.10.0+
  • Go runtime: 1.21 or higher
  • External dependencies: github.com/sirupsen/logrus, net/http, time, fmt, encoding/json, os, math

Authentication Setup

The Genesys Cloud SDK manages token lifecycle automatically when configured with client credentials. You must initialize the configuration with your environment base URL and attach the authentication method before making any API calls. Token caching prevents unnecessary network requests during batch ingest operations.

package main

import (
	"fmt"
	"os"

	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4"
	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4/auth"
)

func initGenesysConfig() *platformclientv4.Configuration {
	envBase := os.Getenv("GENESYS_ENV_BASE")
	if envBase == "" {
		envBase = "https://api.mypurecloud.com"
	}

	cfg := platformclientv4.NewConfiguration()
	cfg.BasePath = envBase

	authClient := auth.NewDefaultClient()
	authClient.SetClientCredentials(
		os.Getenv("GENESYS_CLIENT_ID"),
		os.Getenv("GENESYS_CLIENT_SECRET"),
	)
	cfg.SetAuthMethods(authClient)

	return cfg
}

Implementation

Step 1: Construct and Validate Ingest Payloads

The Speech Analytics ingest endpoint enforces strict constraints on audio format, sample rate, and channel configuration. You must validate these parameters before sending the request to prevent 400 Bad Request responses. The transcription engine requires specific sample rate matrices. Supported rates are 8000, 16000, 44100, and 48000 Hz. Channel counts must be 1 or 2. Maximum file size is 500 MB. Codec verification ensures the media type matches the actual container format.

package main

import (
	"errors"
	"fmt"
	"net/http"

	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4/models"
)

type IngestPayload struct {
	MediaURL            string
	MediaType           string
	SampleRate          int32
	Channels            int32
	TranscriptionEngine string
}

var validSampleRates = map[int32]bool{8000: true, 16000: true, 44100: true, 48000: true}
var validCodecs = map[string]bool{"audio/wav": true, "audio/mpeg": true, "audio/ogg": true, "audio/flac": true}

func validateIngestPayload(p IngestPayload) error {
	if !validCodecs[p.MediaType] {
		return fmt.Errorf("unsupported codec: %s. Must be wav, mp3, ogg, or flac", p.MediaType)
	}
	if !validSampleRates[p.SampleRate] {
		return fmt.Errorf("unsupported sample rate: %d. Must be 8000, 16000, 44100, or 48000", p.SampleRate)
	}
	if p.Channels != 1 && p.Channels != 2 {
		return errors.New("channel count must be 1 or 2")
	}

	// Verify file size limit via HEAD request to prevent 413 errors
	resp, err := http.Head(p.MediaURL)
	if err != nil {
		return fmt.Errorf("failed to verify media source: %w", err)
	}
	if resp.ContentLength > 500*1024*1024 {
		return errors.New("file exceeds 500 MB maximum limit")
	}
	return nil
}

func buildIngestRequest(cfg *platformclientv4.Configuration, p IngestPayload) (*models.Speechanalyticsingestbody, error) {
	if err := validateIngestPayload(p); err != nil {
		return nil, fmt.Errorf("payload validation failed: %w", err)
	}

	body := models.NewSpeechanalyticsingestbody()
	mediaSource := models.NewExternalmediasource()
	mediaSource.SetUrl(p.MediaURL)
	body.SetMediasource(*mediaSource)
	body.SetMediatype(p.MediaType)
	body.SetSamplerate(p.SampleRate)
	body.SetChannels(p.Channels)
	body.SetTranscriptionengine(p.TranscriptionEngine)

	return body, nil
}

Step 2: Execute Atomic POST with 429 Retry Logic

Genesys Cloud enforces strict rate limits on ingest operations. A naive POST will fail under load. You must implement exponential backoff for 429 Too Many Requests responses. The SDK provides the SpeechanalyticsApi client. You wrap the call to handle transient failures and atomic job creation. The transcription job triggers automatically upon successful ingest.

package main

import (
	"fmt"
	"math"
	"time"

	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4"
	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4/models"
)

func postIngestWithRetry(cfg *platformclientv4.Configuration, body *models.Speechanalyticsingestbody, maxRetries int) (*models.Speechanalyticsingest, error) {
	api := platformclientv4.NewSpeechanalyticsApi(cfg)
	var lastErr error
	var result *models.Speechanalyticsingest

	for attempt := 0; attempt <= maxRetries; attempt++ {
		resp, _, err := api.PostSpeechanalyticsIngest(body)
		if err == nil {
			result = resp
			break
		}

		// Parse SDK error for HTTP status
		var apiErr *platformclientv4.ApiException
		if errors.As(err, &apiErr) {
			if apiErr.Code == 429 {
				lastErr = apiErr
				waitTime := time.Duration(math.Pow(2, float64(attempt))) * time.Second
				fmt.Printf("Rate limited (429). Retrying in %v...\n", waitTime)
				time.Sleep(waitTime)
				continue
			}
		}
		return nil, fmt.Errorf("ingest failed on attempt %d: %w", attempt+1, err)
	}

	if result == nil {
		return nil, fmt.Errorf("max retries exceeded: %w", lastErr)
	}
	return result, nil
}

Step 3: Process Results, Track Latency, and Synchronize Webhooks

After the ingest call succeeds, you must record the latency, generate an audit log entry, and prepare for webhook synchronization. Genesys Cloud sends a webhook payload to your configured callback URL when the transcription job completes. You must parse the jobId and status fields to align external storage buckets with internal processing states. Pagination applies when querying historical ingest jobs, so you must handle nextPage tokens for batch reconciliation.

package main

import (
	"encoding/json"
	"fmt"
	"time"

	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4"
	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4/models"
	"github.com/sirupsen/logrus"
)

var logger = logrus.New()

type IngestAudit struct {
	Timestamp   time.Time `json:"timestamp"`
	FileURL     string    `json:"file_url"`
	JobID       string    `json:"job_id"`
	LatencyMs   float64   `json:"latency_ms"`
	Status      string    `json:"status"`
	WebhookSync bool      `json:"webhook_synced"`
}

func handleIngestResult(cfg *platformclientv4.Configuration, payload IngestPayload, result *models.Speechanalyticsingest, startTime time.Time) error {
	latency := time.Since(startTime).Milliseconds()

	audit := IngestAudit{
		Timestamp:   time.Now(),
		FileURL:     payload.MediaURL,
		JobID:       result.GetId(),
		LatencyMs:   float64(latency),
		Status:      "submitted",
		WebhookSync: false,
	}

	auditJSON, _ := json.MarshalIndent(audit, "", "  ")
	logger.Infof("Ingest audit: %s", string(auditJSON))

	// Simulate webhook callback processing for external bucket sync
	if result.GetId() != "" {
		syncExternalBucket(payload.MediaURL, result.GetId())
		audit.WebhookSync = true
	}

	return nil
}

func syncExternalBucket(mediaURL string, jobId string) {
	// Production implementation would call AWS S3 / GCS API here
	logger.Infof("Webhook callback triggered. Syncing %s to external bucket with job %s", mediaURL, jobId)
}

// Query paginated ingest history for reconciliation
func queryIngestHistory(cfg *platformclientv4.Configuration, pageSize int, pageToken string) ([]models.Speechanalyticsingest, string, error) {
	api := platformclientv4.NewSpeechanalyticsApi(cfg)
	var results []models.Speechanalyticsingest
	var nextToken string

	// SDK handles pagination via nextPage parameter
	resp, _, err := api.GetSpeechanalyticsIngests(1, int32(pageSize), pageToken, "id", "desc", "")
	if err != nil {
		return nil, "", err
	}

	if resp.GetEntities() != nil {
		results = *resp.GetEntities()
	}
	nextToken = resp.GetNextpage()

	return results, nextToken, nil
}

Complete Working Example

The following script combines authentication, validation, retry logic, and audit logging into a single executable module. Replace the environment variables with your credentials before running.

package main

import (
	"fmt"
	"os"
	"time"

	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4"
	"github.com/MyPureCloud/platform-client-v4-go/platformclientv4/auth"
	"github.com/sirupsen/logrus"
)

func main() {
	logger.SetFormatter(&logrus.JSONFormatter{})
	logger.SetOutput(os.Stdout)

	cfg := initGenesysConfig()

	payload := IngestPayload{
		MediaURL:            "https://example.com/uploads/customer-call-12345.wav",
		MediaType:           "audio/wav",
		SampleRate:          16000,
		Channels:            1,
		TranscriptionEngine: "default",
	}

	body, err := buildIngestRequest(cfg, payload)
	if err != nil {
		logger.Fatalf("Payload construction failed: %v", err)
	}

	startTime := time.Now()
	result, err := postIngestWithRetry(cfg, body, 3)
	if err != nil {
		logger.Fatalf("Ingest API call failed: %v", err)
	}

	if err := handleIngestResult(cfg, payload, result, startTime); err != nil {
		logger.Fatalf("Result processing failed: %v", err)
	}

	// Demonstrate pagination for history reconciliation
	fmt.Println("Querying ingest history...")
	history, nextPage, err := queryIngestHistory(cfg, 25, "")
	if err != nil {
		logger.Fatalf("History query failed: %v", err)
	}
	fmt.Printf("Fetched %d records. Next page token: %s\n", len(history), nextPage)
}

Common Errors & Debugging

Error: 400 Bad Request

  • Cause: The payload violates schema constraints. Common triggers include unsupported sample rates, invalid channel counts, or mismatched MIME types.
  • Fix: Verify sampleRate against the transcription engine matrix. Ensure channels equals 1 or 2. Confirm mediaType matches the actual file extension.
  • Code Fix: The validateIngestPayload function intercepts these errors before the HTTP call. Log the specific validation failure to adjust the source file preprocessing pipeline.

Error: 401 Unauthorized / 403 Forbidden

  • Cause: The OAuth token expired or lacks the speechanalytics:ingest scope.
  • Fix: Regenerate the access token using the client credentials flow. Verify the OAuth client in Genesys Cloud Admin has the Speech Analytics ingest scope enabled.
  • Code Fix: The SDK automatically refreshes tokens. If 403 persists, inspect the Authorization header in the raw HTTP request to confirm scope attachment.

Error: 413 Payload Too Large

  • Cause: The audio file exceeds the 500 MB limit enforced by the ingest gateway.
  • Fix: Split the audio into smaller segments using FFmpeg before ingestion. Adjust the HEAD request check in validation to fail fast.
  • Code Fix: The validateIngestPayload function checks resp.ContentLength. Return early and queue segments for batch processing.

Error: 429 Too Many Requests

  • Cause: Rate limit exhaustion on the /api/v2/speech/analytics/ingest endpoint.
  • Fix: Implement exponential backoff. Reduce concurrent goroutines submitting ingest requests.
  • Code Fix: The postIngestWithRetry function handles 429 responses with a math.Pow(2, attempt) sleep duration. Monitor Retry-After headers if the SDK exposes them.

Official References