Is it possible to enforce strict chronological ordering of file creation timestamps when exporting digital channel recordings to S3 for legal discovery?
We are processing a bulk export job via /api/v2/analytics/bulkdata/exports for WhatsApp and SMS interactions. The requirement is strict chain of custody compliance. However, upon ingestion into the S3 bucket, the Content-MD5 checksums validate correctly, but the x-amz-meta-creation-time headers show a 15-20 second variance compared to the start_time in the local JSON metadata.
Environment:
- Genesys Cloud EU Region
- Python 3.9 SDK (v2.1.0)
- S3 Destination with KMS encryption
Error: Timestamps do not match interaction start_time within acceptable legal tolerance.
The legal team is rejecting the evidence because the file modification time in S3 does not align perfectly with the interaction start time in the Genesys audit trail. The delta appears to be caused by the async nature of the bulk export worker processing.
Has anyone found a workaround to embed the precise start_time into the S3 object metadata during the export configuration? Or is there a specific flag in the export payload to force synchronous timestamp writing? We need the file system timestamp to match the database timestamp exactly for discovery purposes.