Files
grafana/apps/dashvalidator/pkg/validator/dashboard.go
T

355 lines
11 KiB
Go

package validator
import (
"context"
"fmt"
"net/http"
)
// DashboardCompatibilityRequest contains the dashboard and datasource mappings to validate
type DashboardCompatibilityRequest struct {
DashboardJSON map[string]interface{} // Dashboard JSON structure
DatasourceMappings []DatasourceMapping // List of datasources to validate against
}
// DatasourceMapping maps a datasource UID to its type and optionally name/URL
type DatasourceMapping struct {
UID string // Datasource UID
Type string // Datasource type (prometheus, mysql, etc.)
Name string // Optional: Datasource name
URL string // Datasource URL
HTTPClient *http.Client // Authenticated HTTP client
}
// DashboardCompatibilityResult contains the validation results for a dashboard
type DashboardCompatibilityResult struct {
CompatibilityScore float64 // Overall compatibility (0.0 - 1.0)
DatasourceResults []DatasourceValidationResult // Per-datasource results
}
// DatasourceValidationResult contains validation results for one datasource
type DatasourceValidationResult struct {
UID string
Type string
Name string
TotalQueries int
CheckedQueries int
TotalMetrics int
FoundMetrics int
MissingMetrics []string
QueryBreakdown []QueryResult
CompatibilityScore float64
}
// ValidateDashboardCompatibility is the main entry point for validating dashboard compatibility
// It extracts queries from the dashboard, validates them against each datasource, and returns aggregated results
func ValidateDashboardCompatibility(ctx context.Context, req DashboardCompatibilityRequest) (*DashboardCompatibilityResult, error) {
result := &DashboardCompatibilityResult{
DatasourceResults: make([]DatasourceValidationResult, 0, len(req.DatasourceMappings)),
}
// Step 1: Extract queries from dashboard JSON
queries, err := extractQueriesFromDashboard(req.DashboardJSON)
if err != nil {
return nil, fmt.Errorf("failed to extract queries from dashboard: %w", err)
}
fmt.Printf("[DEBUG] Extracted %d queries from dashboard\n", len(queries))
for i, q := range queries {
fmt.Printf("[DEBUG] Query %d: DS=%s, RefID=%s, Query=%s\n", i, q.DatasourceUID, q.RefID, q.QueryText)
}
// Step 2: Group queries by datasource UID
queriesByDatasource := groupQueriesByDatasource(queries)
fmt.Printf("[DEBUG] Grouped queries by %d datasources\n", len(queriesByDatasource))
for dsUID, dsQueries := range queriesByDatasource {
fmt.Printf("[DEBUG] Datasource %s has %d queries\n", dsUID, len(dsQueries))
}
// Step 3: Validate each datasource
var totalCompatibility float64
validatedCount := 0
for _, dsMapping := range req.DatasourceMappings {
fmt.Printf("[DEBUG] Processing datasource mapping: UID=%s, Type=%s, URL=%s\n", dsMapping.UID, dsMapping.Type, dsMapping.URL)
// Get queries for this datasource
dsQueries, ok := queriesByDatasource[dsMapping.UID]
if !ok || len(dsQueries) == 0 {
// No queries for this datasource, skip
fmt.Printf("[DEBUG] No queries found for datasource %s, skipping\n", dsMapping.UID)
continue
}
fmt.Printf("[DEBUG] Found %d queries for datasource %s\n", len(dsQueries), dsMapping.UID)
// Get validator for this datasource type
v, err := GetValidator(dsMapping.Type)
if err != nil {
// Unsupported datasource type, skip but log
fmt.Printf("[DEBUG] Failed to get validator for type %s: %v\n", dsMapping.Type, err)
continue
}
fmt.Printf("[DEBUG] Got validator for type %s, starting validation\n", dsMapping.Type)
// Build Datasource struct
ds := Datasource{
UID: dsMapping.UID,
Type: dsMapping.Type,
Name: dsMapping.Name,
URL: dsMapping.URL,
HTTPClient: dsMapping.HTTPClient,
}
// Validate queries
validationResult, err := v.ValidateQueries(ctx, dsQueries, ds)
if err != nil {
// Validation failed for this datasource, skip but could log
continue
}
// Convert to DatasourceValidationResult
dsResult := DatasourceValidationResult{
UID: dsMapping.UID,
Type: dsMapping.Type,
Name: dsMapping.Name,
TotalQueries: validationResult.TotalQueries,
CheckedQueries: validationResult.CheckedQueries,
TotalMetrics: validationResult.TotalMetrics,
FoundMetrics: validationResult.FoundMetrics,
MissingMetrics: validationResult.MissingMetrics,
QueryBreakdown: validationResult.QueryBreakdown,
CompatibilityScore: validationResult.CompatibilityScore,
}
result.DatasourceResults = append(result.DatasourceResults, dsResult)
totalCompatibility += validationResult.CompatibilityScore
validatedCount++
}
// Step 4: Calculate overall compatibility score
if validatedCount > 0 {
result.CompatibilityScore = totalCompatibility / float64(validatedCount)
} else {
result.CompatibilityScore = 1.0 // No datasources = perfect compatibility
}
return result, nil
}
// extractQueriesFromDashboard parses the dashboard JSON and extracts all queries
// Supports both v1 (legacy) and v2 (new) dashboard formats
func extractQueriesFromDashboard(dashboardJSON map[string]interface{}) ([]DashboardQuery, error) {
var queries []DashboardQuery
// Debug: Print what keys we have
fmt.Printf("[DEBUG] Dashboard JSON keys: ")
for key := range dashboardJSON {
fmt.Printf("%s, ", key)
}
fmt.Printf("\n")
// Detect dashboard version (v1 uses "panels", v2 uses different structure)
// For MVP, we only support v1 (legacy format with panels array)
if !isV1Dashboard(dashboardJSON) {
fmt.Printf("[DEBUG] isV1Dashboard returned false, 'panels' key exists: %v\n", dashboardJSON["panels"] != nil)
return nil, fmt.Errorf("unsupported dashboard format: only v1 dashboards are supported in MVP")
}
// Extract panels array
panels, ok := dashboardJSON["panels"].([]interface{})
if !ok {
// No panels in dashboard, return empty array
return queries, nil
}
// Iterate through all panels
for _, panelInterface := range panels {
panel, ok := panelInterface.(map[string]interface{})
if !ok {
continue
}
// Extract queries from this panel
panelQueries := extractQueriesFromPanel(panel)
queries = append(queries, panelQueries...)
// Handle nested panels in collapsed rows
nestedPanels, hasNested := panel["panels"].([]interface{})
if hasNested {
for _, nestedPanelInterface := range nestedPanels {
nestedPanel, ok := nestedPanelInterface.(map[string]interface{})
if !ok {
continue
}
nestedQueries := extractQueriesFromPanel(nestedPanel)
queries = append(queries, nestedQueries...)
}
}
}
return queries, nil
}
// isV1Dashboard checks if a dashboard is in v1 (legacy) format
// v1 dashboards have a "panels" array at the top level
func isV1Dashboard(dashboard map[string]interface{}) bool {
_, hasPanels := dashboard["panels"]
return hasPanels
}
// extractQueriesFromPanel extracts all queries/targets from a single panel
func extractQueriesFromPanel(panel map[string]interface{}) []DashboardQuery {
var queries []DashboardQuery
// Get panel info for context
panelTitle := getStringValue(panel, "title", "Untitled Panel")
panelID := getIntValue(panel, "id", 0)
// Extract targets array (queries)
targets, hasTargets := panel["targets"].([]interface{})
if !hasTargets {
return queries
}
// Iterate through each target/query
for _, targetInterface := range targets {
target, ok := targetInterface.(map[string]interface{})
if !ok {
continue
}
// Extract datasource UID
datasourceUID := extractDatasourceUID(target, panel)
if datasourceUID == "" {
// Skip queries without datasource
continue
}
// Extract query text (different fields for different datasources)
queryText := extractQueryText(target)
if queryText == "" {
// Skip empty queries
continue
}
// Extract refId (A, B, C, etc.)
refID := getStringValue(target, "refId", "")
// Build DashboardQuery
query := DashboardQuery{
DatasourceUID: datasourceUID,
RefID: refID,
QueryText: queryText,
PanelTitle: panelTitle,
PanelID: panelID,
}
queries = append(queries, query)
}
return queries
}
// extractDatasourceUID gets the datasource UID from a target, falling back to panel datasource
func extractDatasourceUID(target map[string]interface{}, panel map[string]interface{}) string {
// Try target-level datasource first
if ds, ok := target["datasource"]; ok {
if uid := getDatasourceUIDFromValue(ds); uid != "" {
return uid
}
}
// Fall back to panel-level datasource
if ds, ok := panel["datasource"]; ok {
if uid := getDatasourceUIDFromValue(ds); uid != "" {
return uid
}
}
return ""
}
// getDatasourceUIDFromValue extracts UID from datasource value (can be string or object)
func getDatasourceUIDFromValue(ds interface{}) string {
switch v := ds.(type) {
case string:
// Direct UID string
return v
case map[string]interface{}:
// Structured datasource reference { uid: "...", type: "..." }
return getStringValue(v, "uid", "")
default:
return ""
}
}
// extractQueryText extracts the query text from a target
// Different datasources use different field names (expr, query, rawSql, etc.)
func extractQueryText(target map[string]interface{}) string {
// Try common query field names
queryFields := []string{"expr", "query", "rawSql", "rawQuery", "target", "measurement"}
for _, field := range queryFields {
if queryText := getStringValue(target, field, ""); queryText != "" {
return queryText
}
}
return ""
}
// getStringValue safely extracts a string value from a map
func getStringValue(m map[string]interface{}, key string, defaultValue string) string {
if value, ok := m[key]; ok {
if s, ok := value.(string); ok {
return s
}
}
return defaultValue
}
// getIntValue safely extracts an int value from a map
func getIntValue(m map[string]interface{}, key string, defaultValue int) int {
if value, ok := m[key]; ok {
switch v := value.(type) {
case int:
return v
case float64:
return int(v)
case int64:
return int(v)
}
}
return defaultValue
}
// DashboardQuery represents a query extracted from a dashboard panel
type DashboardQuery struct {
DatasourceUID string // Which datasource this query belongs to
RefID string // Query reference ID
QueryText string // The actual query
PanelTitle string // Panel title
PanelID int // Panel ID
}
// groupQueriesByDatasource groups dashboard queries by their datasource UID
func groupQueriesByDatasource(queries []DashboardQuery) map[string][]Query {
grouped := make(map[string][]Query)
for _, dq := range queries {
q := Query{
RefID: dq.RefID,
QueryText: dq.QueryText,
PanelTitle: dq.PanelTitle,
PanelID: dq.PanelID,
}
grouped[dq.DatasourceUID] = append(grouped[dq.DatasourceUID], q)
}
return grouped
}