energylink/public/app/plugins/datasource/elasticsearch/specs/elastic_response_specs.ts

import { describe, beforeEach, it, expect } from "test/lib/common";
import { ElasticResponse } from "../elastic_response";

describe("ElasticResponse", function() {
  var targets;
  var response;
  var result;

  describe("simple query and count", function() {
    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "count", id: "1" }],
          bucketAggs: [{ type: "date_histogram", field: "@timestamp", id: "2" }]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    doc_count: 10,
                    key: 1000
                  },
                  {
                    doc_count: 15,
                    key: 2000
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 1 series", function() {
      expect(result.data.length).to.be(1);
      expect(result.data[0].target).to.be("Count");
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].datapoints[0][0]).to.be(10);
      expect(result.data[0].datapoints[0][1]).to.be(1000);
    });
  });

  describe("simple query count & avg aggregation", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [
            { type: "count", id: "1" },
            { type: "avg", field: "value", id: "2" }
          ],
          bucketAggs: [{ type: "date_histogram", field: "@timestamp", id: "3" }]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "3": {
                buckets: [
                  {
                    "2": { value: 88 },
                    doc_count: 10,
                    key: 1000
                  },
                  {
                    "2": { value: 99 },
                    doc_count: 15,
                    key: 2000
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 2 series", function() {
      expect(result.data.length).to.be(2);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].datapoints[0][0]).to.be(10);
      expect(result.data[0].datapoints[0][1]).to.be(1000);

      expect(result.data[1].target).to.be("Average value");
      expect(result.data[1].datapoints[0][0]).to.be(88);
      expect(result.data[1].datapoints[1][0]).to.be(99);
    });
  });

  describe("single group by query one metric", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "count", id: "1" }],
          bucketAggs: [
            { type: "terms", field: "host", id: "2" },
            { type: "date_histogram", field: "@timestamp", id: "3" }
          ]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    "3": {
                      buckets: [
                        { doc_count: 1, key: 1000 },
                        { doc_count: 3, key: 2000 }
                      ]
                    },
                    doc_count: 4,
                    key: "server1"
                  },
                  {
                    "3": {
                      buckets: [
                        { doc_count: 2, key: 1000 },
                        { doc_count: 8, key: 2000 }
                      ]
                    },
                    doc_count: 10,
                    key: "server2"
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 2 series", function() {
      expect(result.data.length).to.be(2);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].target).to.be("server1");
      expect(result.data[1].target).to.be("server2");
    });
  });

  describe("single group by query two metrics", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [
            { type: "count", id: "1" },
            { type: "avg", field: "@value", id: "4" }
          ],
          bucketAggs: [
            { type: "terms", field: "host", id: "2" },
            { type: "date_histogram", field: "@timestamp", id: "3" }
          ]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    "3": {
                      buckets: [
                        { "4": { value: 10 }, doc_count: 1, key: 1000 },
                        { "4": { value: 12 }, doc_count: 3, key: 2000 }
                      ]
                    },
                    doc_count: 4,
                    key: "server1"
                  },
                  {
                    "3": {
                      buckets: [
                        { "4": { value: 20 }, doc_count: 1, key: 1000 },
                        { "4": { value: 32 }, doc_count: 3, key: 2000 }
                      ]
                    },
                    doc_count: 10,
                    key: "server2"
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 2 series", function() {
      expect(result.data.length).to.be(4);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].target).to.be("server1 Count");
      expect(result.data[1].target).to.be("server1 Average @value");
      expect(result.data[2].target).to.be("server2 Count");
      expect(result.data[3].target).to.be("server2 Average @value");
    });
  });

  describe("with percentiles ", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [
            { type: "percentiles", settings: { percents: [75, 90] }, id: "1" }
          ],
          bucketAggs: [{ type: "date_histogram", field: "@timestamp", id: "3" }]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "3": {
                buckets: [
                  {
                    "1": { values: { "75": 3.3, "90": 5.5 } },
                    doc_count: 10,
                    key: 1000
                  },
                  {
                    "1": { values: { "75": 2.3, "90": 4.5 } },
                    doc_count: 15,
                    key: 2000
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 2 series", function() {
      expect(result.data.length).to.be(2);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].target).to.be("p75");
      expect(result.data[1].target).to.be("p90");
      expect(result.data[0].datapoints[0][0]).to.be(3.3);
      expect(result.data[0].datapoints[0][1]).to.be(1000);
      expect(result.data[1].datapoints[1][0]).to.be(4.5);
    });
  });

  describe("with extended_stats", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [
            {
              type: "extended_stats",
              meta: { max: true, std_deviation_bounds_upper: true },
              id: "1"
            }
          ],
          bucketAggs: [
            { type: "terms", field: "host", id: "3" },
            { type: "date_histogram", id: "4" }
          ]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "3": {
                buckets: [
                  {
                    key: "server1",
                    "4": {
                      buckets: [
                        {
                          "1": {
                            max: 10.2,
                            min: 5.5,
                            std_deviation_bounds: { upper: 3, lower: -2 }
                          },
                          doc_count: 10,
                          key: 1000
                        }
                      ]
                    }
                  },
                  {
                    key: "server2",
                    "4": {
                      buckets: [
                        {
                          "1": {
                            max: 10.2,
                            min: 5.5,
                            std_deviation_bounds: { upper: 3, lower: -2 }
                          },
                          doc_count: 10,
                          key: 1000
                        }
                      ]
                    }
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 4 series", function() {
      expect(result.data.length).to.be(4);
      expect(result.data[0].datapoints.length).to.be(1);
      expect(result.data[0].target).to.be("server1 Max");
      expect(result.data[1].target).to.be("server1 Std Dev Upper");

      expect(result.data[0].datapoints[0][0]).to.be(10.2);
      expect(result.data[1].datapoints[0][0]).to.be(3);
    });
  });

  describe("single group by with alias pattern", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "count", id: "1" }],
          alias: "{{term @host}} {{metric}} and {{not_exist}} {{@host}}",
          bucketAggs: [
            { type: "terms", field: "@host", id: "2" },
            { type: "date_histogram", field: "@timestamp", id: "3" }
          ]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    "3": {
                      buckets: [
                        { doc_count: 1, key: 1000 },
                        { doc_count: 3, key: 2000 }
                      ]
                    },
                    doc_count: 4,
                    key: "server1"
                  },
                  {
                    "3": {
                      buckets: [
                        { doc_count: 2, key: 1000 },
                        { doc_count: 8, key: 2000 }
                      ]
                    },
                    doc_count: 10,
                    key: "server2"
                  },
                  {
                    "3": {
                      buckets: [
                        { doc_count: 2, key: 1000 },
                        { doc_count: 8, key: 2000 }
                      ]
                    },
                    doc_count: 10,
                    key: 0
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 2 series", function() {
      expect(result.data.length).to.be(3);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].target).to.be(
        "server1 Count and {{not_exist}} server1"
      );
      expect(result.data[1].target).to.be(
        "server2 Count and {{not_exist}} server2"
      );
      expect(result.data[2].target).to.be("0 Count and {{not_exist}} 0");
    });
  });

  describe("histogram response", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "count", id: "1" }],
          bucketAggs: [{ type: "histogram", field: "bytes", id: "3" }]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "3": {
                buckets: [
                  { doc_count: 1, key: 1000 },
                  { doc_count: 3, key: 2000 },
                  { doc_count: 2, key: 1000 }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return table with byte and count", function() {
      expect(result.data[0].rows.length).to.be(3);
      expect(result.data[0].columns).to.eql([
        { text: "bytes", filterable: true },
        { text: "Count" }
      ]);
    });
  });

  describe("with two filters agg", function() {
    var result;

    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "count", id: "1" }],
          bucketAggs: [
            {
              id: "2",
              type: "filters",
              settings: {
                filters: [
                  { query: "@metric:cpu" },
                  { query: "@metric:logins.count" }
                ]
              }
            },
            { type: "date_histogram", field: "@timestamp", id: "3" }
          ]
        }
      ];
      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: {
                  "@metric:cpu": {
                    "3": {
                      buckets: [
                        { doc_count: 1, key: 1000 },
                        { doc_count: 3, key: 2000 }
                      ]
                    }
                  },
                  "@metric:logins.count": {
                    "3": {
                      buckets: [
                        { doc_count: 2, key: 1000 },
                        { doc_count: 8, key: 2000 }
                      ]
                    }
                  }
                }
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return 2 series", function() {
      expect(result.data.length).to.be(2);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].target).to.be("@metric:cpu");
      expect(result.data[1].target).to.be("@metric:logins.count");
    });
  });

  describe("with dropfirst and last aggregation", function() {
    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "avg", id: "1" }, { type: "count" }],
          bucketAggs: [
            {
              id: "2",
              type: "date_histogram",
              field: "host",
              settings: { trimEdges: 1 }
            }
          ]
        }
      ];

      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    "1": { value: 1000 },
                    key: 1,
                    doc_count: 369
                  },
                  {
                    "1": { value: 2000 },
                    key: 2,
                    doc_count: 200
                  },
                  {
                    "1": { value: 2000 },
                    key: 3,
                    doc_count: 200
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should remove first and last value", function() {
      expect(result.data.length).to.be(2);
      expect(result.data[0].datapoints.length).to.be(1);
    });
  });

  describe("No group by time", function() {
    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "avg", id: "1" }, { type: "count" }],
          bucketAggs: [{ id: "2", type: "terms", field: "host" }]
        }
      ];

      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    "1": { value: 1000 },
                    key: "server-1",
                    doc_count: 369
                  },
                  {
                    "1": { value: 2000 },
                    key: "server-2",
                    doc_count: 200
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return table", function() {
      expect(result.data.length).to.be(1);
      expect(result.data[0].type).to.be("table");
      expect(result.data[0].rows.length).to.be(2);
      expect(result.data[0].rows[0][0]).to.be("server-1");
      expect(result.data[0].rows[0][1]).to.be(1000);
      expect(result.data[0].rows[0][2]).to.be(369);

      expect(result.data[0].rows[1][0]).to.be("server-2");
      expect(result.data[0].rows[1][1]).to.be(2000);
    });
  });

  describe("Multiple metrics of same type", function() {
    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [
            { type: "avg", id: "1", field: "test" },
            { type: "avg", id: "2", field: "test2" }
          ],
          bucketAggs: [{ id: "2", type: "terms", field: "host" }]
        }
      ];

      response = {
        responses: [
          {
            aggregations: {
              "2": {
                buckets: [
                  {
                    "1": { value: 1000 },
                    "2": { value: 3000 },
                    key: "server-1",
                    doc_count: 369
                  }
                ]
              }
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should include field in metric name", function() {
      expect(result.data[0].type).to.be("table");
      expect(result.data[0].rows[0][1]).to.be(1000);
      expect(result.data[0].rows[0][2]).to.be(3000);
    });
  });

  describe("Raw documents query", function() {
    beforeEach(function() {
      targets = [
        {
          refId: "A",
          metrics: [{ type: "raw_document", id: "1" }],
          bucketAggs: []
        }
      ];
      response = {
        responses: [
          {
            hits: {
              total: 100,
              hits: [
                {
                  _id: "1",
                  _type: "type",
                  _index: "index",
                  _source: { sourceProp: "asd" },
                  fields: { fieldProp: "field" }
                },
                {
                  _source: { sourceProp: "asd2" },
                  fields: { fieldProp: "field2" }
                }
              ]
            }
          }
        ]
      };

      result = new ElasticResponse(targets, response).getTimeSeries();
    });

    it("should return docs", function() {
      expect(result.data.length).to.be(1);
      expect(result.data[0].type).to.be("docs");
      expect(result.data[0].total).to.be(100);
      expect(result.data[0].datapoints.length).to.be(2);
      expect(result.data[0].datapoints[0].sourceProp).to.be("asd");
      expect(result.data[0].datapoints[0].fieldProp).to.be("field");
    });
  });
});