Can’t get this config to load properly…
We are attempting to automate the extraction of WhatsApp conversation metadata for a legal discovery request. The goal is to preserve the chain of custody by exporting specific digital channel interactions directly from the Architect flow context to our S3 bucket. However, the bulk export job consistently fails with a 422 Unprocessable Entity error when the filter includes digital channel types.
The environment is EU-West, Genesys Cloud version 2023-11. We are using the Python SDK version 1.14.0. The error response indicates that the data_filter object contains invalid parameters for the specified channel type. Specifically, the API rejects the conversation_type field when set to chat or whatsapp in this specific bulk export context.
Here is the payload we are sending to POST /api/v2/recordings/bulk-export:
{
"data_filter": {
"conversation_type": "whatsapp",
"start_time": "2023-10-01T00:00:00Z",
"end_time": "2023-10-31T23:59:59Z",
"attributes": {
"custom_metadata": true,
"participant_ids": true
}
},
"destination": {
"type": "s3",
"bucket": "legal-discovery-eu-west",
"folder": "2023/10/whatsapp"
}
}
The error message returned is:
"message": "Invalid data filter for channel type whatsapp. Supported fields: start_time, end_time, status. Field 'conversation_type' is not allowed in this context."
This is confusing because the documentation for the Bulk Export API explicitly lists conversation_type as a valid filter parameter for digital channels. We have verified that the S3 bucket permissions are correct and that the AWS role has the necessary PutObject permissions. The issue seems isolated to the schema validation on the Genesys side.
Has anyone successfully exported WhatsApp metadata using the bulk export API with a conversation_type filter? Or is there a known limitation in the current EU-West environment that requires using the standard Recording API with pagination instead? We need to maintain the audit trail, so manual exports are not an option.