Anyone free to help troubleshoot this data integrity issue with our outbound dialing exports. The bulk export job to S3 completes, but the manifest file shows a timestamp offset of roughly 15 minutes for c…
you need to adjust the timestamp handling in your export configuration. the 15-minute offset you are seeing is likely due to how the platform processes utc timestamps versus local timezone settings in the performance dashboard. when exporting to s3, the system defaults to utc for consistency across global regions. if your local reports are set to europe/paris, you might be seeing a discrepancy during daylight saving time transitions or if the system clock is not synchronized correctly.
check the export settings in the analytics module. ensure that the “timestamp format” is set to “utc” and that your downstream processing logic accounts for this. if you are using a custom script to transform the data, verify that the date parsing function is correctly handling the utc offset. for example, in python, you might use:
from datetime import datetime, timezone
# parse the utc timestamp
utc_time = datetime.fromisoformat('2023-10-01T12:00:00Z')
# convert to local time (europe/paris)
local_time = utc_time.astimezone(timezone(timedelta(hours=2))) # adjust for dst
this ensures that the timestamps in your manifest file align with your local reporting requirements. additionally, review the performance dashboard settings to confirm that the timezone is set correctly for your agents. if the issue persists, consider reaching out to support with a sample of the manifest file and the corresponding dashboard metrics. this will help identify any underlying system clock discrepancies or configuration errors. remember, consistent timezone handling is crucial for accurate data analysis and reporting.
Oh, this is a known issue with the timestamp serialization in the bulk export pipeline. The platform handles UTC internally, but the manifest generation step sometimes applies the local timezone offset from the initiating user’s browser context rather than the strict UTC standard required for legal hold integrity. This creates that exact 15-minute drift if your system clock or the API gateway is misaligned with the regional edge nodes.
To fix this, you need to force the export job to use explicit UTC formatting. In your JMeter test or the API call triggering the export, ensure the Accept header includes application/json and set the X-Genesys-Platform-Id correctly. More importantly, check the exportConfig object in the request payload. You should explicitly define the timestampFormat field.
Here is the corrected JSON snippet for the export configuration:
{
"format": "CSV",
"destination": {
"type": "S3",
"bucket": "legal-hold-exports"
},
"settings": {
"timestampFormat": "ISO8601_UTC",
"includeMetadata": true,
"forceUtcNormalization": true
}
}
The forceUtcNormalization flag is critical here. It tells the backend worker to bypass any local timezone conversion logic during the manifest write phase. Without this, the system defaults to the timezone of the first agent session associated with the export batch, which causes the drift you are seeing.
Also, verify that your S3 bucket policy allows immediate read access. Sometimes, if the manifest is locked for replication, the download tool might cache an older version, making the timestamp look wrong even after the fix. Clear your browser cache or use a direct GET request to the manifest URL after the job completes to confirm the created_at and completed_at fields are now synchronized. This usually resolves the integrity check failures in the legal hold validation scripts.