package tfdyn import ( "context" "fmt" "github.com/databricks/cli/bundle/internal/tf/schema" "github.com/databricks/cli/libs/dyn" "github.com/databricks/cli/libs/dyn/convert" "github.com/databricks/cli/libs/log" "github.com/databricks/databricks-sdk-go/service/compute" ) func convertClusterResource(ctx context.Context, vin dyn.Value) (dyn.Value, error) { // Normalize the output value to the target schema. vout, diags := convert.Normalize(compute.ClusterSpec{}, vin) for _, diag := range diags { log.Debugf(ctx, "cluster normalization diagnostic: %s", diag.Summary) } return vout, nil } type clusterConverter struct{} func (clusterConverter) Convert(ctx context.Context, key string, vin dyn.Value, out *schema.Resources) error { vout, err := convertClusterResource(ctx, vin) if err != nil { return err } // We always set no_wait as it allows DABs not to wait for cluster to be started. vout, err = dyn.Set(vout, "no_wait", dyn.V(true)) if err != nil { return err } // Add the converted resource to the output. out.Cluster[key] = vout.AsAny() // Configure permissions for this resource. if permissions := convertPermissionsResource(ctx, vin); permissions != nil { permissions.ClusterId = fmt.Sprintf("${databricks_cluster.%s.id}", key) out.Permissions["cluster_"+key] = permissions } return nil } func init() { registerConverter("clusters", clusterConverter{}) }