SuccessResponse_WorkflowMetrics

successboolean

Constant value: true

data object

periodstring

timeRange object

startstring<date-time>

endstring<date-time>

workflowIdinteger

dataPoints object[]

Array [

timePeriodstring<date-time>

Start of the time bucket this row aggregates (truncated to the requested period granularity, e.g. hour/day).

statusJobStatus (string)

Job status this bucket is grouped by — rows are grouped by (timePeriod, status), so one period yields one row per distinct status.

Possible values: [pending, running, retrying, completed, failed]

requestCountinteger

Number of runs (jobs) in this (timePeriod, status) bucket — a count.

totalExecutionTimenumber

AVG execution time, in milliseconds, of the runs in this (timePeriod, status) bucket — despite the total… name this is an average (the backend computes it with SQL AVG(execution_time)), NOT a sum. To get an overall mean across buckets, re-average run-weighted by requestCount.

totalExecutionCostnumber

Summed execution cost across the runs in this (timePeriod, status) bucket — a sum (SQL SUM(execution_cost)).

]

SuccessResponse_WorkflowMetrics

{
  "success": true,
  "data": {
    "period": "string",
    "timeRange": {
      "start": "2024-07-29T15:51:28.071Z",
      "end": "2024-07-29T15:51:28.071Z"
    },
    "workflowId": 0,
    "dataPoints": [
      {
        "timePeriod": "2024-07-29T15:51:28.071Z",
        "status": "pending",
        "requestCount": 0,
        "totalExecutionTime": 0,
        "totalExecutionCost": 0
      }
    ]
  }
}