get_influencers.yml

---
requires:
  stack: true
  serverless: false
---
setup:
  - do:
      ml.put_job:
        job_id: get-influencers-test
        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-get-influencers-test
        id:     get-influencers-test_1464739200000_1_1
        body:
          {
            "job_id": "get-influencers-test",
            "timestamp": "2016-06-01T00:00:00Z",
            "influencer_field_name": "foo",
            "influencer_field_value": "bar",
            "influencer_score": 50.0,
            "result_type" : "influencer",
            "bucket_span" : 1
          }

  - do:
      index:
        index:  .ml-anomalies-get-influencers-test
        id:     get-influencers-test_1464825600000_1_2
        body:
          {
            "job_id": "get-influencers-test",
            "timestamp": "2016-06-02T00:00:00Z",
            "influencer_field_name": "foo",
            "influencer_field_value": "zoo",
            "influencer_score": 80.0,
            "result_type" : "influencer",
            "bucket_span" : 1,
            "is_interim": true
          }

  - do:
      index:
        index:  .ml-anomalies-get-influencers-test
        id:     get-influencers-test_1464912000000_1_3
        body:
          {
            "job_id": "get-influencers-test",
            "timestamp": "2016-06-03T00:00:00Z",
            "influencer_field_name": "foo",
            "influencer_field_value": "zoo",
            "influencer_score": 60.0,
            "result_type" : "influencer",
            "bucket_span" : 1
          }

  - do:
      indices.refresh:
        index: .ml-anomalies-get-influencers-test
---
teardown:
  - do:
      ml.delete_job:
        job_id: get-influencers-test
---
'ml.get_influencers':
  - do:
      ml.get_influencers:
        job_id: "get-influencers-test"

  - match: { count: 3 }
  - match: { influencers.0.influencer_score: 80 }
  - match: { influencers.0.timestamp: 1464825600000 }
  - match: { influencers.1.influencer_score: 60 }
  - match: { influencers.1.timestamp: 1464912000000 }
  - match: { influencers.2.influencer_score: 50 }
  - match: { influencers.2.timestamp: 1464739200000 }