grafana/pkg/tsdb/azuremonitor/loganalytics/azure-log-analytics-datasource_test.go

package loganalytics

import (
	"context"
	"fmt"
	"net/http"
	"net/url"
	"strings"
	"testing"
	"time"

	"github.com/google/go-cmp/cmp"
	"github.com/grafana/grafana-plugin-sdk-go/backend"
	"github.com/grafana/grafana/pkg/infra/tracing"
	"github.com/grafana/grafana/pkg/tsdb/azuremonitor/types"
	"github.com/stretchr/testify/require"
)

func TestBuildingAzureLogAnalyticsQueries(t *testing.T) {
	datasource := &AzureLogAnalyticsDatasource{}
	fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
	timeRange := backend.TimeRange{From: fromStart, To: fromStart.Add(34 * time.Minute)}

	tests := []struct {
		name                     string
		queryModel               []backend.DataQuery
		azureLogAnalyticsQueries []*AzureLogAnalyticsQuery
		Err                      require.ErrorAssertionFunc
	}{
		{
			name: "Query with macros should be interpolated",
			queryModel: []backend.DataQuery{
				{
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"resource":     "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
							"query":        "query=Perf | where $__timeFilter() | where $__contains(Computer, 'comp1','comp2') | summarize avg(CounterValue) by bin(TimeGenerated, $__interval), Computer",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					RefID:     "A",
					TimeRange: timeRange,
				},
			},
			azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
				{
					RefID:        "A",
					ResultFormat: types.TimeSeries,
					URL:          "v1/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace/query",
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"resource":     "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
							"query":        "query=Perf | where $__timeFilter() | where $__contains(Computer, 'comp1','comp2') | summarize avg(CounterValue) by bin(TimeGenerated, $__interval), Computer",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					Params:    url.Values{"query": {"query=Perf | where ['TimeGenerated'] >= datetime('2018-03-15T13:00:00Z') and ['TimeGenerated'] <= datetime('2018-03-15T13:34:00Z') | where ['Computer'] in ('comp1','comp2') | summarize avg(CounterValue) by bin(TimeGenerated, 34000ms), Computer"}},
					Target:    "query=query%3DPerf+%7C+where+%5B%27TimeGenerated%27%5D+%3E%3D+datetime%28%272018-03-15T13%3A00%3A00Z%27%29+and+%5B%27TimeGenerated%27%5D+%3C%3D+datetime%28%272018-03-15T13%3A34%3A00Z%27%29+%7C+where+%5B%27Computer%27%5D+in+%28%27comp1%27%2C%27comp2%27%29+%7C+summarize+avg%28CounterValue%29+by+bin%28TimeGenerated%2C+34000ms%29%2C+Computer",
					TimeRange: timeRange,
				},
			},
			Err: require.NoError,
		},

		{
			name: "Legacy queries with a workspace GUID should use workspace-centric url",
			queryModel: []backend.DataQuery{
				{
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"workspace":    "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
							"query":        "query=Perf",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					RefID: "A",
				},
			},
			azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
				{
					RefID:        "A",
					ResultFormat: types.TimeSeries,
					URL:          "v1/workspaces/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/query",
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"workspace":    "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
							"query":        "query=Perf",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					Params: url.Values{"query": {"query=Perf"}},
					Target: "query=query%3DPerf",
				},
			},
			Err: require.NoError,
		},

		{
			name: "Legacy workspace queries with a resource URI (from a template variable) should use resource-centric url",
			queryModel: []backend.DataQuery{
				{
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"workspace":    "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
							"query":        "query=Perf",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					RefID: "A",
				},
			},
			azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
				{
					RefID:        "A",
					ResultFormat: types.TimeSeries,
					URL:          "v1/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace/query",
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"workspace":    "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
							"query":        "query=Perf",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					Params: url.Values{"query": {"query=Perf"}},
					Target: "query=query%3DPerf",
				},
			},
			Err: require.NoError,
		},

		{
			name: "Queries with a Resource should use resource-centric url",
			queryModel: []backend.DataQuery{
				{
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"resource":     "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
							"query":        "query=Perf",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					RefID: "A",
				},
			},
			azureLogAnalyticsQueries: []*AzureLogAnalyticsQuery{
				{
					RefID:        "A",
					ResultFormat: types.TimeSeries,
					URL:          "v1/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace/query",
					JSON: []byte(fmt.Sprintf(`{
						"queryType": "Azure Log Analytics",
						"azureLogAnalytics": {
							"resource":     "/subscriptions/aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee/resourceGroups/cloud-datasources/providers/Microsoft.OperationalInsights/workspaces/AppInsightsTestDataWorkspace",
							"query":        "query=Perf",
							"resultFormat": "%s"
						}
					}`, types.TimeSeries)),
					Params: url.Values{"query": {"query=Perf"}},
					Target: "query=query%3DPerf",
				},
			},
			Err: require.NoError,
		},
	}

	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			queries, err := datasource.buildQueries(tt.queryModel, types.DatasourceInfo{})
			tt.Err(t, err)
			if diff := cmp.Diff(tt.azureLogAnalyticsQueries[0], queries[0]); diff != "" {
				t.Errorf("Result mismatch (-want +got):\n%s", diff)
			}
		})
	}
}

func TestLogAnalyticsCreateRequest(t *testing.T) {
	ctx := context.Background()
	url := "http://ds"
	dsInfo := types.DatasourceInfo{}

	tests := []struct {
		name            string
		expectedURL     string
		expectedHeaders http.Header
		Err             require.ErrorAssertionFunc
	}{
		{
			name:            "creates a request",
			expectedURL:     "http://ds/",
			expectedHeaders: http.Header{"Content-Type": []string{"application/json"}},
			Err:             require.NoError,
		},
	}

	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			ds := AzureLogAnalyticsDatasource{}
			req, err := ds.createRequest(ctx, dsInfo, url)
			tt.Err(t, err)
			if req.URL.String() != tt.expectedURL {
				t.Errorf("Expecting %s, got %s", tt.expectedURL, req.URL.String())
			}
			if !cmp.Equal(req.Header, tt.expectedHeaders) {
				t.Errorf("Unexpected HTTP headers: %v", cmp.Diff(req.Header, tt.expectedHeaders))
			}
		})
	}
}

func Test_executeQueryErrorWithDifferentLogAnalyticsCreds(t *testing.T) {
	ds := AzureLogAnalyticsDatasource{}
	dsInfo := types.DatasourceInfo{
		Services: map[string]types.DatasourceService{
			"Azure Log Analytics": {URL: "http://ds"},
		},
		JSONData: map[string]interface{}{
			"azureLogAnalyticsSameAs": false,
		},
	}
	ctx := context.Background()
	query := &AzureLogAnalyticsQuery{
		Params:    url.Values{},
		TimeRange: backend.TimeRange{},
	}
	tracer := tracing.InitializeTracerForTest()
	res := ds.executeQuery(ctx, query, dsInfo, &http.Client{}, dsInfo.Services["Azure Log Analytics"].URL, tracer)
	if res.Error == nil {
		t.Fatal("expecting an error")
	}
	if !strings.Contains(res.Error.Error(), "Log Analytics credentials are no longer supported") {
		t.Error("expecting the error to inform of bad credentials")
	}
}