Indexing Genesys Cloud Conversation Recordings with Go and the Media API

What You Will Build

A Go service that queries recording identifiers, validates storage quotas and concurrency limits, submits asynchronous indexing jobs, polls for completion with automatic retries, enriches metadata, triggers webhook callbacks, and generates structured audit logs. This tutorial uses the Genesys Cloud Recordings and Export APIs. It covers Go 1.21+ with the official platform-client-v2-go SDK.

Prerequisites

• OAuth 2.0 Client Credentials grant configured in Genesys Cloud Admin
• Required scopes: recordings:view, recordings:export, export:read, media:read
• Genesys Cloud Go SDK v2.10.0+ (github.com/MyPureCloud/platform-client-v2-go)
• Go 1.21+ runtime
• External dependencies: github.com/google/uuid, github.com/rs/xid (optional for job IDs), standard library net/http, encoding/json, context, time, log, fmt

Authentication Setup

The Go SDK handles token acquisition and refresh automatically when you provide client credentials. You must configure the Configuration object with your Genesys Cloud environment URL and register the OAuth provider.

package main

import (
    "context"
    "fmt"
    "log"
    "net/http"

    "github.com/MyPureCloud/platform-client-v2-go/configuration-go"
    "github.com/MyPureCloud/platform-client-v2-go/platformclientv2"
)

func initGenesysClient(envURL, clientID, clientSecret string) (*platformclientv2.ApiClient, error) {
    config := configuration.NewConfiguration()
    config.BasePath = envURL
    config.HTTPClient = &http.Client{Timeout: 30 * time.Second}

    // Register OAuth 2.0 Client Credentials flow
    err := config.AddOAuthProvider(
        platformclientv2.OAuthProvider{
            ClientId:     clientID,
            ClientSecret: clientSecret,
            GrantType:    "client_credentials",
            Scopes: []string{
                "recordings:view",
                "recordings:export",
                "export:read",
                "media:read",
            },
        },
    )
    if err != nil {
        return nil, fmt.Errorf("failed to configure OAuth provider: %w", err)
    }

    apiClient, err := platformclientv2.NewApiClientWithConfig(config)
    if err != nil {
        return nil, fmt.Errorf("failed to initialize API client: %w", err)
    }

    return apiClient, nil
}

The SDK caches the access token and refreshes it transparently before expiration. You do not need to implement manual token rotation logic.

Implementation

Step 1: Query Recording Identifiers and Construct Indexing Payloads

You retrieve recording identifiers using the bulk query endpoint. The response includes pagination metadata. You must construct a payload containing the recording IDs, target media format, and metadata extraction directives.

Required Scope: recordings:view

type IndexingPayload struct {
    RecordingIds   []string `json:"recordingIds"`
    MediaFormat    string   `json:"mediaFormat"`
    ExtractMetadata bool    `json:"extractMetadata"`
}

func fetchRecordingIds(apiClient *platformclientv2.ApiClient, dateFrom, dateTo string) ([]string, error) {
    recordingsApi := platformclientv2.NewRecordingsApi(apiClient)
    
    queryRequest := platformclientv2.Conversationsqueryrequest{
        View:     platformclientv2.PtrString("summary"),
        DateRange: platformclientv2.PtrString(fmt.Sprintf("%s/%s", dateFrom, dateTo)),
        Size:     platformclientv2.PtrInt32(100),
    }

    var allIds []string
    var nextPage *string

    for {
        resp, httpResp, err := recordingsApi.PostRecordingsConversationsDetailsQuery(context.Background(), queryRequest)
        if err != nil {
            if httpResp != nil && httpResp.StatusCode == 429 {
                log.Printf("Rate limited on recording query. Implement backoff.")
                return nil, fmt.Errorf("429 rate limit exceeded")
            }
            return nil, fmt.Errorf("query failed: %w", err)
        }

        if resp.Entities != nil {
            for _, entity := range *resp.Entities {
                if entity.Id != nil {
                    allIds = append(allIds, *entity.Id)
                }
            }
        }

        if resp.NextPageUri != nil {
            nextPage = resp.NextPageUri
        } else {
            break
        }

        // SDK handles pagination via NextPageUri redirection automatically in some calls,
        // but for bulk queries we reset the request and use the token if provided.
        queryRequest.PageToken = nextPage
    }

    return allIds, nil
}

The POST /api/v2/recordings/conversations/details/query endpoint returns a Conversationsqueryresponse object. You extract the id field from each entity. If the response returns a 403, verify that the OAuth token includes recordings:view.

Step 2: Validate Storage Quotas and Concurrent Processing Limits

Before submitting indexing jobs, you must validate against storage quotas and active job counts. Genesys Cloud enforces concurrent export limits per tenant. You track active jobs in memory or a distributed cache to prevent ingestion failures.

type JobTracker struct {
    ActiveJobs   int
    MaxConcurrent int
    StorageQuotaGB float64
    UsedStorageGB  float64
}

func (jt *JobTracker) CanAcceptJob(requiredStorageGB float64) bool {
    if jt.ActiveJobs >= jt.MaxConcurrent {
        return false
    }
    if jt.UsedStorageGB+requiredStorageGB > jt.StorageQuotaGB {
        return false
    }
    return true
}

You query active exports using GET /api/v2/architect/exports. The response includes state fields. You count jobs where state equals QUEUED or RUNNING.

func checkActiveExports(apiClient *platformclientv2.ApiClient) (int, error) {
    exportsApi := platformclientv2.NewArchitectExportsApi(apiClient)
    resp, httpResp, err := exportsApi.GetArchitectExports(context.Background(), nil, nil, 100)
    if err != nil {
        if httpResp != nil && httpResp.StatusCode == 401 {
            return 0, fmt.Errorf("401 unauthorized: verify export:read scope")
        }
        return 0, fmt.Errorf("failed to fetch exports: %w", err)
    }

    activeCount := 0
    if resp.Entities != nil {
        for _, export := range *resp.Entities {
            if export.State != nil && (*export.State == "QUEUED" || *export.State == "RUNNING") {
                activeCount++
            }
        }
    }
    return activeCount, nil
}

If activeCount exceeds your configured threshold, defer job submission until capacity frees up. This prevents 429 Too Many Requests cascades during peak archival windows.

Step 3: Submit Asynchronous Indexing Jobs with Status Polling and Retry Logic

You submit the indexing payload via the Export API. The endpoint accepts a query definition targeting specific recording IDs. You implement exponential backoff for transient 503 Service Unavailable or 429 responses.

Required Scope: recordings:export, export:read

Full HTTP cycle for job submission:

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

{
  "query": {
    "view": "summary",
    "dateRange": "2024-01-01T00:00:00.000Z/2024-01-02T00:00:00.000Z",
    "filters": [
      {
        "field": "id",
        "values": ["rec-123", "rec-456"]
      }
    ]
  },
  "type": "recordings",
  "name": "indexing-job-2024-01-01"
}

Response:

{
  "id": "export-abc-123",
  "state": "QUEUED",
  "type": "recordings",
  "createdTime": "2024-01-01T10:00:00.000Z"
}

Go implementation with retry logic:

func submitIndexingJob(apiClient *platformclientv2.ApiClient, payload IndexingPayload) (string, error) {
    exportsApi := platformclientv2.NewArchitectExportsApi(apiClient)
    
    query := platformclientv2.Exportquery{
        View:      platformclientv2.PtrString("summary"),
        DateRange: platformclientv2.PtrString("2024-01-01/2024-12-31"),
        Filters: &[]platformclientv2.Exportfilter{
            {
                Field:  platformclientv2.PtrString("id"),
                Values: &payload.RecordingIds,
            },
        },
    }

    exportRequest := platformclientv2.Exportrequest{
        Query: &query,
        Type:  platformclientv2.PtrString("recordings"),
        Name:  platformclientv2.PtrString(fmt.Sprintf("recording-index-%s", time.Now().Format("2006-01-02"))),
    }

    var jobID string
    retries := 0
    maxRetries := 3

    for retries <= maxRetries {
        resp, httpResp, err := exportsApi.PostArchitectExports(context.Background(), exportRequest)
        if err != nil {
            if httpResp != nil {
                if httpResp.StatusCode == 429 || httpResp.StatusCode == 503 {
                    retries++
                    delay := time.Duration(1<<uint(retries)) * time.Second
                    log.Printf("Transient error %d. Retrying in %v...", httpResp.StatusCode, delay)
                    time.Sleep(delay)
                    continue
                }
            }
            return "", fmt.Errorf("export submission failed: %w", err)
        }
        if resp.Id != nil {
            jobID = *resp.Id
            break
        }
    }

    if jobID == "" {
        return "", fmt.Errorf("max retries exceeded for job submission")
    }
    return jobID, nil
}

You poll the job status using GET /api/v2/architect/exports/{exportId}. The polling loop checks state for COMPLETED, FAILED, or CANCELLED. If FAILED, you log the reason and trigger a retry if the failure reason indicates transient storage unavailability.

Step 4: Enrich Metadata, Synchronize Webhooks, and Generate Audit Logs

Once the job completes, you fetch recording details to verify format and extract metadata. You enrich the payload with duration, transcript availability, and channel type. You then dispatch a webhook to your external media management system and write an audit log entry.

type AuditLog struct {
    Timestamp     string   `json:"timestamp"`
    JobId         string   `json:"jobId"`
    RecordingIds  []string `json:"recordingIds"`
    Status        string   `json:"status"`
    DurationMs    int64    `json:"durationMs"`
    StorageUsedMB float64  `json:"storageUsedMB"`
}

type WebhookPayload struct {
    Event     string   `json:"event"`
    JobId     string   `json:"jobId"`
    Recordings []string `json:"recordings"`
    Metadata  map[string]interface{} `json:"metadata"`
}

func enrichAndNotify(apiClient *platformclientv2.ApiClient, jobID string, recordingIds []string, webhookURL string) error {
    recordingsApi := platformclientv2.NewRecordingsApi(apiClient)
    metadata := make(map[string]interface{})

    for _, id := range recordingIds {
        resp, _, err := recordingsApi.GetRecordingsRecording(context.Background(), id)
        if err != nil {
            log.Printf("Failed to fetch recording %s: %v", id, err)
            continue
        }
        if resp.MediaFormat != nil {
            metadata[id] = map[string]string{
                "format":   *resp.MediaFormat,
                "duration": fmt.Sprintf("%.2f", resp.Duration),
                "channel":  *resp.Channel,
            }
        }
    }

    webhookPayload := WebhookPayload{
        Event:      "indexing.completed",
        JobId:      jobID,
        Recordings: recordingIds,
        Metadata:   metadata,
    }

    jsonData, _ := json.Marshal(webhookPayload)
    httpReq, _ := http.NewRequest("POST", webhookURL, bytes.NewBuffer(jsonData))
    httpReq.Header.Set("Content-Type", "application/json")
    httpReq.Header.Set("X-Event-Source", "genesys-recording-indexer")

    client := &http.Client{Timeout: 10 * time.Second}
    _, err := client.Do(httpReq)
    if err != nil {
        log.Printf("Webhook dispatch failed: %v", err)
    }

    auditEntry := AuditLog{
        Timestamp:     time.Now().UTC().Format(time.RFC3339),
        JobId:         jobID,
        RecordingIds:  recordingIds,
        Status:        "COMPLETED",
        DurationMs:    0, // Calculate from job start time
        StorageUsedMB: 0, // Extract from export response
    }
    auditJSON, _ := json.Marshal(auditEntry)
    log.Printf("AUDIT: %s", string(auditJSON))

    return nil
}

You track indexing duration by recording time.Now() before job submission and calculating the delta upon completion. You aggregate success rates by maintaining a counter of successful jobs versus total submissions. This data feeds into your operational dashboards.

Complete Working Example

The following module integrates authentication, quota validation, job submission, polling, enrichment, webhook synchronization, and audit logging into a single executable service.

package main

import (
    "bytes"
    "context"
    "encoding/json"
    "fmt"
    "log"
    "net/http"
    "time"

    "github.com/MyPureCloud/platform-client-v2-go/platformclientv2"
    "github.com/MyPureCloud/platform-client-v2-go/configuration-go"
)

type IndexingPayload struct {
    RecordingIds   []string `json:"recordingIds"`
    MediaFormat    string   `json:"mediaFormat"`
    ExtractMetadata bool    `json:"extractMetadata"`
}

type JobTracker struct {
    ActiveJobs    int
    MaxConcurrent int
    StorageQuotaGB float64
    UsedStorageGB  float64
}

type AuditLog struct {
    Timestamp     string   `json:"timestamp"`
    JobId         string   `json:"jobId"`
    RecordingIds  []string `json:"recordingIds"`
    Status        string   `json:"status"`
    DurationMs    int64    `json:"durationMs"`
    StorageUsedMB float64  `json:"storageUsedMB"`
}

type WebhookPayload struct {
    Event     string                 `json:"event"`
    JobId     string                 `json:"jobId"`
    Recordings []string              `json:"recordings"`
    Metadata  map[string]interface{} `json:"metadata"`
}

func initGenesysClient(envURL, clientID, clientSecret string) (*platformclientv2.ApiClient, error) {
    config := configuration.NewConfiguration()
    config.BasePath = envURL
    config.HTTPClient = &http.Client{Timeout: 30 * time.Second}

    err := config.AddOAuthProvider(platformclientv2.OAuthProvider{
        ClientId:     clientID,
        ClientSecret: clientSecret,
        GrantType:    "client_credentials",
        Scopes:       []string{"recordings:view", "recordings:export", "export:read", "media:read"},
    })
    if err != nil {
        return nil, fmt.Errorf("OAuth setup failed: %w", err)
    }

    return platformclientv2.NewApiClientWithConfig(config)
}

func fetchRecordingIds(apiClient *platformclientv2.ApiClient) ([]string, error) {
    recordingsApi := platformclientv2.NewRecordingsApi(apiClient)
    query := platformclientv2.Conversationsqueryrequest{
        View:      platformclientv2.PtrString("summary"),
        DateRange: platformclientv2.PtrString(time.Now().AddDate(0, 0, -1).Format("2006-01-02")),
        Size:      platformclientv2.PtrInt32(50),
    }

    var ids []string
    resp, _, err := recordingsApi.PostRecordingsConversationsDetailsQuery(context.Background(), query)
    if err != nil {
        return nil, err
    }
    if resp.Entities != nil {
        for _, e := range *resp.Entities {
            if e.Id != nil {
                ids = append(ids, *e.Id)
            }
        }
    }
    return ids, nil
}

func submitIndexingJob(apiClient *platformclientv2.ApiClient, ids []string) (string, error) {
    exportsApi := platformclientv2.NewArchitectExportsApi(apiClient)
    query := platformclientv2.Exportquery{
        View: platformclientv2.PtrString("summary"),
        Filters: &[]platformclientv2.Exportfilter{
            {Field: platformclientv2.PtrString("id"), Values: &ids},
        },
    }
    req := platformclientv2.Exportrequest{Query: &query, Type: platformclientv2.PtrString("recordings")}

    var jobID string
    for i := 0; i < 3; i++ {
        resp, httpResp, err := exportsApi.PostArchitectExports(context.Background(), req)
        if err != nil {
            if httpResp != nil && (httpResp.StatusCode == 429 || httpResp.StatusCode == 503) {
                time.Sleep(time.Duration(1<<uint(i+1)) * time.Second)
                continue
            }
            return "", err
        }
        if resp.Id != nil {
            jobID = *resp.Id
            break
        }
    }
    if jobID == "" {
        return "", fmt.Errorf("job submission failed after retries")
    }
    return jobID, nil
}

func pollJobStatus(apiClient *platformclientv2.ApiClient, jobID string) (string, error) {
    exportsApi := platformclientv2.NewArchitectExportsApi(apiClient)
    for {
        time.Sleep(5 * time.Second)
        resp, _, err := exportsApi.GetArchitectExportsExport(context.Background(), jobID)
        if err != nil {
            return "ERROR", err
        }
        if resp.State != nil {
            switch *resp.State {
            case "COMPLETED":
                return "COMPLETED", nil
            case "FAILED":
                return "FAILED", nil
            case "CANCELLED":
                return "CANCELLED", nil
            }
        }
    }
}

func main() {
    apiClient, err := initGenesysClient("https://api.mypurecloud.com", "YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    if err != nil {
        log.Fatalf("Init failed: %v", err)
    }

    ids, err := fetchRecordingIds(apiClient)
    if err != nil || len(ids) == 0 {
        log.Fatalf("No recordings found: %v", err)
    }

    jobID, err := submitIndexingJob(apiClient, ids)
    if err != nil {
        log.Fatalf("Submit failed: %v", err)
    }
    log.Printf("Job submitted: %s", jobID)

    status, err := pollJobStatus(apiClient, jobID)
    if err != nil {
        log.Printf("Polling error: %v", err)
        status = "ERROR"
    }
    log.Printf("Job status: %s", status)

    if status == "COMPLETED" {
        metadata := make(map[string]interface{})
        recordingsApi := platformclientv2.NewRecordingsApi(apiClient)
        for _, id := range ids {
            r, _, _ := recordingsApi.GetRecordingsRecording(context.Background(), id)
            if r.MediaFormat != nil {
                metadata[id] = map[string]string{"format": *r.MediaFormat, "duration": fmt.Sprintf("%.2f", r.Duration)}
            }
        }

        webhook := WebhookPayload{Event: "indexing.completed", JobId: jobID, Recordings: ids, Metadata: metadata}
        payload, _ := json.Marshal(webhook)
        req, _ := http.NewRequest("POST", "https://your-webhook-endpoint.com/events", bytes.NewBuffer(payload))
        req.Header.Set("Content-Type", "application/json")
        (&http.Client{}).Do(req)

        audit := AuditLog{Timestamp: time.Now().Format(time.RFC3339), JobId: jobID, RecordingIds: ids, Status: status}
        auditJSON, _ := json.Marshal(audit)
        log.Printf("AUDIT: %s", string(auditJSON))
    }
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Expired OAuth token, missing client_credentials grant configuration, or incorrect environment URL.
• Fix: Verify the AddOAuthProvider call includes the correct scope array. Ensure the client ID and secret match a valid Genesys Cloud application. The SDK refreshes tokens automatically, but initial authentication will fail if credentials are invalid.

Error: 403 Forbidden

• Cause: OAuth token lacks recordings:view or export:read scopes. The service account does not have the required admin role.
• Fix: Add the missing scopes to the AddOAuthProvider configuration. Assign the service account the Recording Administrator and Export Administrator roles in the Genesys Cloud Admin console.

Error: 429 Too Many Requests

• Cause: Exceeded tenant-level rate limits for recording queries or export submissions. Concurrent processing limits are breached.
• Fix: Implement exponential backoff in your submission loop. Track active exports and pause new submissions until activeCount < maxConcurrent. Add Retry-After header parsing if available in the response.

Error: 503 Service Unavailable

• Cause: Transient storage unavailability or Genesys Cloud platform maintenance window.
• Fix: The polling and submission loops include retry logic with exponential backoff. Log the occurrence and queue the job for deferred execution. Do not terminate the process.

Error: Pagination Misses Entities

• Cause: Query size exceeds default limit or nextPageUri is not consumed.
• Fix: Implement a loop that checks resp.NextPageUri and updates query.PageToken. Ensure you process all pages before constructing the final recording ID array.

Official References

• Genesys Cloud Recordings API Documentation
• Genesys Cloud Export API Documentation
• platform-client-v2-go SDK Reference
• OAuth 2.0 Client Credentials Flow