get_records.yml

---
requires:
  stack: true
  serverless: false
---
setup:
  - do:
      ml.put_job:
        job_id: jobs-get-result-records
        body:  >
          {
            "analysis_config" : {
                "detectors" :[{"function":"metric","field_name":"responsetime","by_field_name":"airline"}]
            },
            "data_description" : {
                "format":"xcontent",
                "time_field":"time"
            }
          }

  - do:
      index:
        index:  .ml-anomalies-jobs-get-result-records
        id:     jobs-get-result-records_1464739200000_1_1
        body:
          {
            "job_id": "jobs-get-result-records",
            "result_type": "record",
            "timestamp": "2016-06-01T00:00:00Z",
            "record_score": 60.0,
            "bucket_span": 1
          }

  - do:
      index:
        index:  .ml-anomalies-jobs-get-result-records
        id:     jobs-get-result-records_1464825600000_1_2
        body:
          {
            "job_id": "jobs-get-result-records",
            "result_type": "record",
            "timestamp": "2016-06-02T00:00:00Z",
            "record_score": 80.0,
            "bucket_span": 1,
            "is_interim": true
          }

  - do:
      indices.refresh:
        index: .ml-anomalies-jobs-get-result-records

---
teardown:
  - do:
      ml.delete_job:
        job_id: jobs-get-result-records
---
"ml.get_records":
  - do:
      ml.get_records:
        job_id: "jobs-get-result-records"

  - match: { count: 2 }
  - match: { records.0.timestamp: 1464825600000 }
  - match: { records.0.job_id: jobs-get-result-records}
  - match: { records.0.result_type: record}
  - match: { records.1.timestamp: 1464739200000 }
  - match: { records.1.job_id: jobs-get-result-records}
  - match: { records.1.result_type: record}