WorkflowMetrics

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)).

]

WorkflowMetrics

{
  "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
    }
  ]
}