Is it possible to guarantee strict chronological ordering of recording files within a single S3 bucket prefix when using the Genesys Cloud bulk export API for Workforce Engagement Management recordings?
Our team handles legal discovery requests. We require a verified chain of custody. The current bulk export job initiates correctly via POST /api/v2/analytics/conversations/details/query. The job status transitions to COMPLETED without errors. However, the resulting files in our S3 target bucket appear in a random order. This is problematic for our forensic analysis tools. They expect sequential ingestion based on timestamp.
We are using the standard export configuration. The environment is Genesys Cloud EU-West-1. The data source is strictly WEM voice recordings. We have verified the IAM policies. Access is not the issue. The integrity of the files is fine. The metadata tags are present. But the file naming convention does not enforce sorting.
The export job ID is visible in the audit trail. We can see the start and end times. The query filter includes the start_time and end_time parameters. We expect the API to process records in the order of the query results. This does not seem to be the case. The files are uploaded in parallel batches. This causes the disorder.
We cannot rely on client-side sorting. The volume of data is too high. We need the server-side export to maintain order. Or we need a specific parameter in the export request body. We have reviewed the documentation for /api/v2/analytics/conversations/details/query. There is no clear field for sort_order enforcement on the final file output.
Has anyone found a workaround for this? We are considering a post-processing script. But this adds latency. It breaks the automated pipeline. We need a native solution. Is there a known limitation with WEM recording exports? Or is this a bug in the current version? Any insights would be appreciated. We need to meet a strict deadline for this discovery request.