Ejemplo n.º 1
0
func TestHttpQuery(t *testing.T) {
	defer leaktest.AfterTest(t)()
	var tsrv server.TestServer
	if err := tsrv.Start(); err != nil {
		t.Fatal(err)
	}
	defer tsrv.Stop()

	// Populate data directly.
	tsdb := tsrv.TsDB()
	if err := tsdb.StoreData(ts.Resolution10s, []ts.TimeSeriesData{
		{
			Name:   "test.metric",
			Source: "source1",
			Datapoints: []ts.TimeSeriesDatapoint{
				{
					TimestampNanos: 400 * 1e9,
					Value:          100.0,
				},
				{
					TimestampNanos: 500 * 1e9,
					Value:          200.0,
				},
				{
					TimestampNanos: 520 * 1e9,
					Value:          300.0,
				},
			},
		},
		{
			Name:   "test.metric",
			Source: "source2",
			Datapoints: []ts.TimeSeriesDatapoint{
				{
					TimestampNanos: 400 * 1e9,
					Value:          100.0,
				},
				{
					TimestampNanos: 500 * 1e9,
					Value:          200.0,
				},
				{
					TimestampNanos: 510 * 1e9,
					Value:          250.0,
				},
				{
					TimestampNanos: 530 * 1e9,
					Value:          350.0,
				},
			},
		},
		{
			Name: "other.metric",
			Datapoints: []ts.TimeSeriesDatapoint{
				{
					TimestampNanos: 400 * 1e9,
					Value:          100.0,
				},
				{
					TimestampNanos: 500 * 1e9,
					Value:          200.0,
				},
				{
					TimestampNanos: 510 * 1e9,
					Value:          250.0,
				},
			},
		},
	}); err != nil {
		t.Fatal(err)
	}

	expectedResult := ts.TimeSeriesQueryResponse{
		Results: []ts.TimeSeriesQueryResponse_Result{
			{
				Query: ts.Query{
					Name:             "test.metric",
					Sources:          []string{"source1", "source2"},
					Downsampler:      ts.TimeSeriesQueryAggregator_AVG.Enum(),
					SourceAggregator: ts.TimeSeriesQueryAggregator_SUM.Enum(),
					Derivative:       ts.TimeSeriesQueryDerivative_NONE.Enum(),
				},
				Datapoints: []ts.TimeSeriesDatapoint{
					{
						TimestampNanos: 505 * 1e9,
						Value:          400.0,
					},
					{
						TimestampNanos: 515 * 1e9,
						Value:          500.0,
					},
					{
						TimestampNanos: 525 * 1e9,
						Value:          600.0,
					},
				},
			},
			{
				Query: ts.Query{
					Name:             "other.metric",
					Sources:          []string{""},
					Downsampler:      ts.TimeSeriesQueryAggregator_AVG.Enum(),
					SourceAggregator: ts.TimeSeriesQueryAggregator_SUM.Enum(),
					Derivative:       ts.TimeSeriesQueryDerivative_NONE.Enum(),
				},
				Datapoints: []ts.TimeSeriesDatapoint{
					{
						TimestampNanos: 505 * 1e9,
						Value:          200.0,
					},
					{
						TimestampNanos: 515 * 1e9,
						Value:          250.0,
					},
				},
			},
			{
				Query: ts.Query{
					Name:             "test.metric",
					Sources:          []string{"source1", "source2"},
					Downsampler:      ts.TimeSeriesQueryAggregator_MAX.Enum(),
					SourceAggregator: ts.TimeSeriesQueryAggregator_MAX.Enum(),
					Derivative:       ts.TimeSeriesQueryDerivative_DERIVATIVE.Enum(),
				},
				Datapoints: []ts.TimeSeriesDatapoint{
					{
						TimestampNanos: 505 * 1e9,
						Value:          1.0,
					},
					{
						TimestampNanos: 515 * 1e9,
						Value:          5.0,
					},
					{
						TimestampNanos: 525 * 1e9,
						Value:          5.0,
					},
				},
			},
		},
	}

	var response ts.TimeSeriesQueryResponse
	session := makeTestHTTPSession(t, &tsrv.Ctx.Context, tsrv.HTTPAddr())
	if err := session.PostProto(ts.URLQuery, &ts.TimeSeriesQueryRequest{
		StartNanos: 500 * 1e9,
		EndNanos:   526 * 1e9,
		Queries: []ts.Query{
			{
				Name: "test.metric",
			},
			{
				Name: "other.metric",
			},
			{
				Name:             "test.metric",
				Downsampler:      ts.TimeSeriesQueryAggregator_MAX.Enum(),
				SourceAggregator: ts.TimeSeriesQueryAggregator_MAX.Enum(),
				Derivative:       ts.TimeSeriesQueryDerivative_DERIVATIVE.Enum(),
			},
		},
	}, &response); err != nil {
		t.Fatal(err)
	}
	for _, r := range response.Results {
		sort.Strings(r.Sources)
	}
	if !reflect.DeepEqual(response, expectedResult) {
		t.Fatalf("actual response \n%v\n did not match expected response \n%v",
			response, expectedResult)
	}
}