Python SDK Analytics Export to S3 returns empty dataset

Having some config trouble here…

I am building a daily analytics export job using the Genesys Cloud Python SDK and boto3. The goal is to pull conversation metrics via /api/v2/analytics/conversations/queries and stream the results directly to an S3 bucket in the ap-southeast-1 region.

The Python script authenticates correctly and constructs the query payload. However, when I invoke the SDK method post_analytics_conversations_queries, the response body is consistently empty, even though I know data exists for the requested time range. I am using a service account with full analytics permissions.

Here is the core logic:

client = genesyscloud.init(config=cfg)
body = {
 "interval": "PT1H",
 "dateFrom": "2023-10-27T00:00:00.000Z",
 "dateTo": "2023-10-27T23:59:59.999Z",
 "groupBy": ["conversation.type"],
 "view": "default"
}
response = client.analytics.post_analytics_conversations_queries(body=body)

The HTTP status code is 200 OK, but response.body contains no data arrays. I suspect the date format or the view parameter is incorrect. Does the Python SDK require a specific ISO 8601 format with timezone offsets? Or is the default view insufficient for this query type? I need to ensure the data stream is valid before writing to S3.

You need to verify that your query body explicitly defines the dateRange and metrics within the JSON payload, as the SDK defaults to an empty set if not provided. The endpoint /api/v2/analytics/conversations/queries requires a strict schema. Ensure your dateRange uses ISO 8601 format with UTC timestamps, for example {"startDate": "2023-10-01T00:00:00Z", "endDate": "2023-10-02T00:00:00Z"}. If the range is invalid or in the future, the API returns a successful 200 OK but with zero results. Check your local timezone conversions before sending the request to avoid silent failures.

Second, inspect the groupBy clause. If you are aggregating by a dimension that has sparse data for your selected time window, the result set will be empty. Try removing groupBy to see if total counts return. Also, verify that the OAuth token has the analytics:conversation:view scope. Without it, the SDK might not throw an auth error but instead return filtered empty sets depending on role permissions. Log the raw request body before the post_analytics_conversations_queries call to debug.