Data Retention Policy Conflict in Analytics Reporting via Terraform

General Discussion
1

How do I correctly to manage conflicting data retention policies for conversation analytics when deploying via Terraform?

  • Current environment details:
  • Provider: genesyscloud/genesyscloud 1.46.1
  • Region: AU1
  • Module: custom analytics reporting pipeline
  • The genesyscloud_routing_queue resource includes a conversation_service block.
  • Attempting to set analytics_reporting_enabled = true triggers a conflict with existing global retention settings.
  • Terraform apply fails with error code 409 Conflict.
  • Error message: “Resource already exists with different retention configuration. Manual intervention required.”
  • This breaks the automated CI/CD pipeline using GitHub Actions.
  • Goal: Enforce specific retention periods for compliance without manual UI edits.
  • Tried using ignore_changes in the resource block.
  • Result: Deployment succeeds, but analytics data is not retained as expected.
  • Data disappears after 7 days instead of the configured 90 days.
  • Tried calling the Analytics API directly via genesyscloud_api resource.
  • Endpoint: /api/v2/analytics/reports/conversations/summary
  • Result: 403 Forbidden. Permissions seem correct in the UI, but the service account lacks implicit access.
  • Relevant Terraform snippet:
resource "genesyscloud_routing_queue" "main" {
name = "SupportQueue"

conversation_service {
analytics_reporting_enabled = true
# retention_policy_id = "hardcoded-id" # Tried this, still fails
}
}
  • The genesyscloud_analytics_report resource does not expose retention settings.
  • Documentation suggests using genesyscloud_platform_org_settings.
  • Tested this resource.
  • No attribute for conversation_retention_days.
  • Is there a hidden API endpoint or a specific provider attribute to link queue analytics to org-level retention?
  • Need a pure IaC solution. No manual steps.
  • Urgent. Compliance audit next week.
  • Any workarounds using genesyscloud_architect_flow to route data differently?
2

It depends, but generally…

  • Check the genesyscloud_data_retention resource explicitly. The queue-level settings often conflict with global retention policies defined in the account settings. Terraform might be trying to apply two different rules to the same conversation data.
  • Verify the retention_period in days matches the legal hold requirements. If analytics reporting is enabled, the system needs to keep raw data longer than standard archive policies. A mismatch here causes the conflict.
  • Look at the conversation_service block again. Sometimes, enabling analytics_reporting_enabled requires specific metadata fields to be present. If the bulk export job is stripping these fields, the analytics engine fails to validate the record.
  • Consider using a separate data action to sync retention tags before the Terraform apply. This ensures the underlying S3 objects have the correct lifecycle rules before the platform tries to query them for analytics.
3

Make sure you verify the actual data type being sent in the json payload versus what the hcl provider expects. this is a common issue with the genesys cloud terraform provider where float precision gets messed up during plan apply cycles.

  • Explicitly define the genesyscloud_data_retention resource before applying queue-level analytics settings. The provider often fails to resolve dependencies if global retention isn’t declared first.
  • Check that retention_period values are integers, not floats. The API rejects 90.0 but accepts 90.
  • Ensure analytics_reporting_enabled is set to true only after the retention policy is fully applied.
  • Review the audit logs for any silent failures where the provider skips the update due to conflicting schema definitions.
  • Cross-reference the latest provider documentation for changes in the conversation_service block structure.

This usually resolves the drift issue without requiring a full state refresh.