We’re building a custom aggregator for Genesys Cloud analytics events. The v2.analytics.conversation.aggregate event is firing correctly, but the JSON structure is deeper than expected.
The payload arrives with a nested data object containing an array of aggregations, but each aggregation item has its own nested metrics object. Here’s a simplified snippet of what we’re seeing:
{
"type": "v2.analytics.conversation.aggregate",
"data": {
"aggregations": [
{
"metricName": "handleTime",
"value": 120.5,
"metrics": {
"handleTime": {
"mean": 120.5,
"count": 5
}
}
}
]
}
}
I’m trying to extract the mean value for handleTime. My current logic assumes a flat structure under aggregations, but it’s failing because handleTime is nested inside metrics.
Is there a standard way to flatten this or should we just iterate through the metrics object? The docs are vague on the exact shape of the metrics payload for aggregate events. We’re using a simple HTTP endpoint to receive these. It feels like we’re missing a configuration flag to simplify the output. Or maybe we’re just overcomplicating the parsing logic. The metrics object seems redundant since the top-level value already holds the mean. Why include both?
Also, the event frequency is high. We’re seeing spikes during peak hours. The parsing code needs to be efficient. Any tips on handling this specific structure without bloating the consumer? We’ve tried mapping it directly to our DB schema but the nested keys are causing issues with our ORM. It’s just messy. The documentation doesn’t show this level of nesting for aggregate events. It only shows it for detail events. So I’m confused why aggregate events have this structure. Is this a bug or feature? We’re running the latest SDK version. The event payload hasn’t changed recently. Just trying to get the mean value. It should be simple. But it’s not. The metrics object is causing problems. We need to extract the mean. How do you handle this?