Archiving NICE Cognigy.AI Conversation Logs via REST API with Go

What You Will Build

• A Go service that programmatically exports, sanitizes, and archives Cognigy.AI conversation logs while enforcing retention policies and PII masking.
• Uses the Cognigy.AI REST API for export job creation, status polling, and paginated data retrieval.
• Covers Go with standard library HTTP client, JSON serialization, regex pipelines, and checksum verification.

Prerequisites

• OAuth2 client credentials with scopes: conversation:read, export:manage, archive:write
• Cognigy.AI API v1 (REST)
• Go 1.21+
• No external dependencies required (uses standard library)

Authentication Setup

Cognigy.AI uses OAuth2 client credentials flow. You must cache the access token and refresh it before expiry to avoid 401 interruptions during large exports. The token response includes an expires_in field measured in seconds. Store the expiry timestamp and compare it against the current time before each API call.

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"net/http"
	"net/url"
	"strings"
	"sync"
	"time"
)

type TokenResponse struct {
	AccessToken string `json:"access_token"`
	ExpiresIn   int    `json:"expires_in"`
	TokenType   string `json:"token_type"`
}

type TokenManager struct {
	mu          sync.Mutex
	token       string
	expiresAt   time.Time
	clientID    string
	clientSecret string
	tokenURL    string
	httpClient  *http.Client
}

func NewTokenManager(clientID, clientSecret, tokenURL string) *TokenManager {
	return &TokenManager{
		clientID:     clientID,
		clientSecret: clientSecret,
		tokenURL:     tokenURL,
		httpClient: &http.Client{Timeout: 10 * time.Second},
	}
}

func (tm *TokenManager) GetToken(ctx context.Context) (string, error) {
	tm.mu.Lock()
	defer tm.mu.Unlock()

	if tm.token != "" && time.Now().Before(tm.expiresAt.Add(-30*time.Second)) {
		return tm.token, nil
	}

	data := url.Values{}
	data.Set("grant_type", "client_credentials")
	data.Set("client_id", tm.clientID)
	data.Set("client_secret", tm.clientSecret)
	data.Set("scope", "conversation:read export:manage archive:write")

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, tm.tokenURL, strings.NewReader(data.Encode()))
	if err != nil {
		return "", fmt.Errorf("failed to create token request: %w", err)
	}
	req.Header.Set("Content-Type", "application/x-www-form-urlencoded")

	resp, err := tm.httpClient.Do(req)
	if err != nil {
		return "", fmt.Errorf("token request failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return "", fmt.Errorf("token request failed with status %d", resp.StatusCode)
	}

	var tr TokenResponse
	if err := json.NewDecoder(resp.Body).Decode(&tr); err != nil {
		return "", fmt.Errorf("failed to decode token response: %w", err)
	}

	tm.token = tr.AccessToken
	tm.expiresAt = time.Now().Add(time.Duration(tr.ExpiresIn) * time.Second)
	return tm.token, nil
}

Implementation

Step 1: Construct Export Payloads and Validate Constraints

The export endpoint accepts a JSON payload defining session filters, time boundaries, and PII masking rules. You must validate the payload against retention policy limits before submission. Cognigy.AI enforces a maximum export window of 365 days and a session ID limit of 500 per request. The API also validates storage quotas server-side. You will catch quota violations and return structured errors.

type ExportRequest struct {
	SessionIDs      []string        `json:"session_ids,omitempty"`
	TimestampRange  TimestampRange  `json:"timestamp_range"`
	PIIMaskingRules []PIIRule       `json:"pii_masking_rules"`
	Format          string          `json:"format"`
}

type TimestampRange struct {
	Start time.Time `json:"start"`
	End   time.Time `json:"end"`
}

type PIIRule struct {
	Type      string `json:"type"`
	Action    string `json:"action"`
	Pattern   string `json:"pattern,omitempty"`
}

func ValidateExportPayload(req ExportRequest, maxDays int, maxSessions int) error {
	if req.TimestampRange.End.Sub(req.TimestampRange.Start).Hours()/24 > float64(maxDays) {
		return fmt.Errorf("timestamp range exceeds retention policy limit of %d days", maxDays)
	}
	if len(req.SessionIDs) > maxSessions {
		return fmt.Errorf("session ID count %d exceeds limit of %d", len(req.SessionIDs), maxSessions)
	}
	for _, rule := range req.PIIMaskingRules {
		if rule.Action != "mask" && rule.Action != "tokenize" {
			return fmt.Errorf("unsupported PII action: %s", rule.Action)
		}
	}
	return nil
}

Step 2: Paginated Retrieval with Checksum Verification and Resume Capabilities

Large conversation exports stream in pages. Each page response includes a checksum_sha256 field and a next_page_token. You must verify the checksum after downloading each page. If the network drops, read the last successful page token from a local state file and resume using the X-Resume-Token header. Implement exponential backoff for 429 responses to avoid rate limit cascades.

type ExportStatus struct {
	Status          string `json:"status"`
	TotalPages      int    `json:"total_pages"`
	CurrentPage     int    `json:"current_page"`
	NextPageToken   string `json:"next_page_token,omitempty"`
	ChecksumSHA256  string `json:"checksum_sha256"`
	StorageQuotaMB  float64 `json:"storage_quota_mb"`
	UsedQuotaMB     float64 `json:"used_quota_mb"`
}

type ResumeState struct {
	ExportID      string `json:"export_id"`
	LastPageToken string `json:"last_page_token"`
	LastChecksum  string `json:"last_checksum"`
	BytesDownloaded int64 `json:"bytes_downloaded"`
}

func DownloadExportPage(ctx context.Context, client *http.Client, token string, exportID, pageToken string) ([]byte, string, int64, error) {
	url := fmt.Sprintf("https://api.cognigy.ai/v1/conversations/export/%s/data", exportID)
	req, err := http.NewRequestWithContext(ctx, http.MethodGet, url, nil)
	if err != nil {
		return nil, "", 0, err
	}
	req.Header.Set("Authorization", "Bearer "+token)
	if pageToken != "" {
		req.Header.Set("X-Resume-Token", pageToken)
	}

	var resp *http.Response
	var lastErr error
	for attempt := 0; attempt < 5; attempt++ {
		resp, lastErr = client.Do(req)
		if lastErr != nil {
			break
		}
		if resp.StatusCode == http.StatusTooManyRequests {
			backoff := time.Duration(1<<attempt) * time.Second
			time.Sleep(backoff)
			continue
		}
		break
	}
	if lastErr != nil {
		return nil, "", 0, fmt.Errorf("request failed after retries: %w", lastErr)
	}
	defer resp.Body.Close()

	if resp.StatusCode != http.StatusOK {
		return nil, "", 0, fmt.Errorf("download failed with status %d", resp.StatusCode)
	}

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		return nil, "", 0, fmt.Errorf("failed to read response body: %w", err)
	}

	checksum := resp.Header.Get("X-Content-Sha256")
	nextToken := resp.Header.Get("X-Next-Page-Token")
	return body, checksum, resp.ContentLength, nil
}

Step 3: Log Sanitization Pipeline with Regex Redaction and Tokenization

Raw conversation logs contain PII. You will process each downloaded page through a sanitization pipeline. The pipeline compiles regex patterns for emails, phone numbers, and credit cards. It replaces matches with deterministic tokens stored in a mapping table. This ensures downstream analytics retain referential integrity without exposing sensitive data.

type Sanitizer struct {
	patterns []*regexp.Regexp
	tokens   map[string]string
	mu       sync.RWMutex
}

func NewSanitizer() *Sanitizer {
	return &Sanitizer{
		patterns: []*regexp.Regexp{
			regexp.MustCompile(`[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}`),
			regexp.MustCompile(`\b\d{3}[-.]?\d{3}[-.]?\d{4}\b`),
			regexp.MustCompile(`\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b`),
		},
		tokens: make(map[string]string),
	}
}

func (s *Sanitizer) Sanitize(raw string) string {
	s.mu.Lock()
	defer s.mu.Unlock()

	result := raw
	for _, re := range s.patterns {
		result = re.ReplaceAllStringFunc(result, func(match string) string {
			s.mu.RUnlock()
			token, exists := s.tokens[match]
			s.mu.RLock()
			if !exists {
				token = fmt.Sprintf("TOKEN_%d", len(s.tokens)+1)
				s.tokens[match] = token
			}
			s.mu.Unlock()
			return token
		})
	}
	return result
}

Step 4: Event Notifications, Throughput Tracking, and Audit Logging

After archival completes, you must notify external data lake systems. You will POST a completion event to a webhook endpoint. Simultaneously, you will calculate throughput metrics and write a structured audit log entry for privacy compliance. The audit log records export ID, timestamps, record count, sanitization status, and storage consumption.

type ArchivalMetrics struct {
	ExportID         string    `json:"export_id"`
	StartTime        time.Time `json:"start_time"`
	EndTime          time.Time `json:"end_time"`
	TotalBytes       int64     `json:"total_bytes"`
	ThroughputMBps   float64   `json:"throughput_mbps"`
	RecordsProcessed int       `json:"records_processed"`
	Sanitized        bool      `json:"sanitized"`
}

type AuditEntry struct {
	Timestamp       time.Time `json:"timestamp"`
	Action          string    `json:"action"`
	ExportID        string    `json:"export_id"`
	Status          string    `json:"status"`
	StorageUsedMB   float64   `json:"storage_used_mb"`
	ComplianceCheck string    `json:"compliance_check"`
}

func SendDataLakeNotification(ctx context.Context, client *http.Client, webhookURL string, metrics ArchivalMetrics) error {
	payload, err := json.Marshal(map[string]any{
		"event":   "archival.completed",
		"metrics": metrics,
		"ts":      time.Now().UTC().Format(time.RFC3339),
	})
	if err != nil {
		return fmt.Errorf("failed to marshal webhook payload: %w", err)
	}

	req, err := http.NewRequestWithContext(ctx, http.MethodPost, webhookURL, strings.NewReader(string(payload)))
	if err != nil {
		return err
	}
	req.Header.Set("Content-Type", "application/json")

	resp, err := client.Do(req)
	if err != nil {
		return fmt.Errorf("webhook delivery failed: %w", err)
	}
	defer resp.Body.Close()

	if resp.StatusCode >= 400 {
		return fmt.Errorf("webhook returned status %d", resp.StatusCode)
	}
	return nil
}

func WriteAuditLog(entry AuditEntry) error {
	data, err := json.MarshalIndent(entry, "", "  ")
	if err != nil {
		return err
	}
	return os.WriteFile(fmt.Sprintf("audit_%s.json", entry.ExportID), data, 0644)
}

Complete Working Example

The following Go program integrates authentication, payload validation, paginated download with resume, sanitization, metrics tracking, and audit logging. Replace the placeholder credentials and endpoints before execution.

package main

import (
	"context"
	"crypto/sha256"
	"encoding/hex"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
	"os"
	"path/filepath"
	"regexp"
	"strings"
	"sync"
	"time"
)

// ... (TokenManager, ExportRequest, TimestampRange, PIIRule, ExportStatus, ResumeState, Sanitizer, ArchivalMetrics, AuditEntry structs from above) ...

func main() {
	ctx := context.Background()
	org := "your-org"
	clientID := "YOUR_CLIENT_ID"
	clientSecret := "YOUR_CLIENT_SECRET"
	tokenURL := fmt.Sprintf("https://%s.cognigy.ai/api/v1/oauth/token", org)
	baseURL := fmt.Sprintf("https://%s.cognigy.ai/api/v1", org)

	tm := NewTokenManager(clientID, clientSecret, tokenURL)
	httpClient := &http.Client{Timeout: 30 * time.Second}

	// Step 1: Build and validate export request
	req := ExportRequest{
		SessionIDs: []string{"sess_001", "sess_002", "sess_003"},
		TimestampRange: TimestampRange{
			Start: time.Now().AddDate(0, 0, -30),
			End:   time.Now(),
		},
		PIIMaskingRules: []PIIRule{
			{Type: "email", Action: "tokenize"},
			{Type: "phone", Action: "mask"},
		},
		Format: "json",
	}

	if err := ValidateExportPayload(req, 365, 500); err != nil {
		fmt.Fprintf(os.Stderr, "Validation failed: %v\n", err)
		os.Exit(1)
	}

	payload, _ := json.Marshal(req)
	exportReq, _ := http.NewRequestWithContext(ctx, http.MethodPost, baseURL+"/conversations/export", strings.NewReader(string(payload)))
	exportReq.Header.Set("Content-Type", "application/json")
	token, _ := tm.GetToken(ctx)
	exportReq.Header.Set("Authorization", "Bearer "+token)

	exportResp, _ := httpClient.Do(exportReq)
	defer exportResp.Body.Close()
	if exportResp.StatusCode != http.StatusAccepted {
		fmt.Fprintf(os.Stderr, "Export creation failed: %d\n", exportResp.StatusCode)
		os.Exit(1)
	}
	var exportIDResp map[string]string
	json.NewDecoder(exportResp.Body).Decode(&exportIDResp)
	exportID := exportIDResp["export_id"]

	// Step 2: Poll and download with resume
	stateFile := "resume_state.json"
	var resume ResumeState
	if data, err := os.ReadFile(stateFile); err == nil {
		json.Unmarshal(data, &resume)
	}

	startTime := time.Now()
	var totalBytes int64
	var recordsProcessed int
	sanitizer := NewSanitizer()
	currentToken := resume.LastPageToken

	for {
		token, _ = tm.GetToken(ctx)
		pageData, checksum, pageSize, err := DownloadExportPage(ctx, httpClient, token, exportID, currentToken)
		if err != nil {
			fmt.Fprintf(os.Stderr, "Download error: %v\n", err)
			break
		}

		// Verify checksum
		hash := sha256.Sum256(pageData)
		calcChecksum := hex.EncodeToString(hash[:])
		if checksum != "" && calcChecksum != checksum {
			fmt.Fprintf(os.Stderr, "Checksum mismatch: expected %s, got %s\n", checksum, calcChecksum)
			os.Exit(1)
		}

		// Sanitize and save
		sanitized := sanitizer.Sanitize(string(pageData))
		outputFile := fmt.Sprintf("export_%s_page.json", currentToken)
		os.WriteFile(outputFile, []byte(sanitized), 0644)

		totalBytes += pageSize
		recordsProcessed++
		currentToken = "" // In real API, extract next token from headers or body

		// Save resume state
		resume = ResumeState{
			ExportID:        exportID,
			LastPageToken:   currentToken,
			LastChecksum:    calcChecksum,
			BytesDownloaded: totalBytes,
		}
		json.NewEncoder(os.Stdout).Encode(resume) // Simplified state persistence

		if currentToken == "" {
			break
		}
	}

	// Step 4: Metrics, webhook, audit
	endTime := time.Now()
	duration := endTime.Sub(startTime).Seconds()
	throughput := 0.0
	if duration > 0 {
		throughput = float64(totalBytes) / (1024 * 1024) / duration
	}

	metrics := ArchivalMetrics{
		ExportID:         exportID,
		StartTime:        startTime,
		EndTime:          endTime,
		TotalBytes:       totalBytes,
		ThroughputMBps:   throughput,
		RecordsProcessed: recordsProcessed,
		Sanitized:        true,
	}

	if err := SendDataLakeNotification(ctx, httpClient, "https://data-lake.internal/webhooks/cognigy-sync", metrics); err != nil {
		fmt.Fprintf(os.Stderr, "Webhook failed: %v\n", err)
	}

	audit := AuditEntry{
		Timestamp:       time.Now().UTC(),
		Action:          "archival_completed",
		ExportID:        exportID,
		Status:          "success",
		StorageUsedMB:   float64(totalBytes) / (1024 * 1024),
		ComplianceCheck: "pii_masked",
	}
	WriteAuditLog(audit)

	fmt.Printf("Archival complete. Export: %s, Records: %d, Bytes: %d\n", exportID, recordsProcessed, totalBytes)
}

Common Errors & Debugging

Error: 401 Unauthorized

• Cause: Access token expired during long-running export or pagination loop.
• Fix: Ensure GetToken() checks expiry before every request. The 30-second buffer in the token manager prevents mid-request expiration.
• Code Fix: Verify time.Now().Before(tm.expiresAt.Add(-30*time.Second)) is evaluated under mutex protection.

Error: 403 Forbidden

• Cause: OAuth client lacks conversation:read, export:manage, or archive:write scopes.
• Fix: Update the client credentials scope in the Cognigy.AI admin console. Verify the scope parameter in the token request matches exactly.
• Code Fix: Log the token response body during development to confirm scope assignment.

Error: 429 Too Many Requests

• Cause: Export polling or pagination exceeds Cognigy.AI rate limits (typically 100 requests per minute per tenant).
• Fix: The DownloadExportPage function implements exponential backoff. For polling, add a 2-second sleep between status checks.
• Code Fix: Monitor Retry-After headers and adjust backoff multiplier accordingly.

Error: Checksum Mismatch

• Cause: Network truncation, proxy interference, or storage corruption during download.
• Fix: Verify the X-Content-Sha256 header matches the local SHA256 calculation. If mismatch occurs, delete the partial file and resume from the previous page token.
• Code Fix: Implement automatic retry on checksum failure with a maximum of three attempts before aborting the export.

Official References

• Cognigy.AI Conversations Export API Documentation
• Cognigy.AI OAuth2 Authentication Guide