| // Copyright (c) HashiCorp, Inc. |
| // SPDX-License-Identifier: MPL-2.0 |
| |
| // ---------------------------------------------------------------------------- |
| // |
| // *** AUTO GENERATED CODE *** Type: MMv1 *** |
| // |
| // ---------------------------------------------------------------------------- |
| // |
| // This file is automatically generated by Magic Modules and manual |
| // changes will be clobbered when the file is regenerated. |
| // |
| // Please read more about how to change this file in |
| // .github/CONTRIBUTING.md. |
| // |
| // ---------------------------------------------------------------------------- |
| |
| package vertexai |
| |
| import ( |
| "fmt" |
| "log" |
| "reflect" |
| "strings" |
| "time" |
| |
| "github.com/hashicorp/terraform-plugin-sdk/v2/helper/customdiff" |
| "github.com/hashicorp/terraform-plugin-sdk/v2/helper/schema" |
| |
| "github.com/hashicorp/terraform-provider-google-beta/google-beta/tpgresource" |
| transport_tpg "github.com/hashicorp/terraform-provider-google-beta/google-beta/transport" |
| ) |
| |
| func ResourceVertexAITensorboard() *schema.Resource { |
| return &schema.Resource{ |
| Create: resourceVertexAITensorboardCreate, |
| Read: resourceVertexAITensorboardRead, |
| Update: resourceVertexAITensorboardUpdate, |
| Delete: resourceVertexAITensorboardDelete, |
| |
| Importer: &schema.ResourceImporter{ |
| State: resourceVertexAITensorboardImport, |
| }, |
| |
| Timeouts: &schema.ResourceTimeout{ |
| Create: schema.DefaultTimeout(20 * time.Minute), |
| Update: schema.DefaultTimeout(20 * time.Minute), |
| Delete: schema.DefaultTimeout(20 * time.Minute), |
| }, |
| |
| CustomizeDiff: customdiff.All( |
| tpgresource.SetLabelsDiff, |
| tpgresource.DefaultProviderProject, |
| ), |
| |
| Schema: map[string]*schema.Schema{ |
| "display_name": { |
| Type: schema.TypeString, |
| Required: true, |
| Description: `User provided name of this Tensorboard.`, |
| }, |
| "description": { |
| Type: schema.TypeString, |
| Optional: true, |
| Description: `Description of this Tensorboard.`, |
| }, |
| "encryption_spec": { |
| Type: schema.TypeList, |
| Optional: true, |
| ForceNew: true, |
| Description: `Customer-managed encryption key spec for a Tensorboard. If set, this Tensorboard and all sub-resources of this Tensorboard will be secured by this key.`, |
| MaxItems: 1, |
| Elem: &schema.Resource{ |
| Schema: map[string]*schema.Schema{ |
| "kms_key_name": { |
| Type: schema.TypeString, |
| Required: true, |
| ForceNew: true, |
| Description: `The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. |
| Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the resource is created.`, |
| }, |
| }, |
| }, |
| }, |
| "labels": { |
| Type: schema.TypeMap, |
| Optional: true, |
| Description: `The labels with user-defined metadata to organize your Tensorboards. |
| |
| |
| **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. |
| Please refer to the field 'effective_labels' for all of the labels present on the resource.`, |
| Elem: &schema.Schema{Type: schema.TypeString}, |
| }, |
| "region": { |
| Type: schema.TypeString, |
| Computed: true, |
| Optional: true, |
| ForceNew: true, |
| Description: `The region of the tensorboard. eg us-central1`, |
| }, |
| "blob_storage_path_prefix": { |
| Type: schema.TypeString, |
| Computed: true, |
| Description: `Consumer project Cloud Storage path prefix used to store blob data, which can either be a bucket or directory. Does not end with a '/'.`, |
| }, |
| "create_time": { |
| Type: schema.TypeString, |
| Computed: true, |
| Description: `The timestamp of when the Tensorboard was created in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.`, |
| }, |
| "effective_labels": { |
| Type: schema.TypeMap, |
| Computed: true, |
| Description: `All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Terraform, other clients and services.`, |
| Elem: &schema.Schema{Type: schema.TypeString}, |
| }, |
| "name": { |
| Type: schema.TypeString, |
| Computed: true, |
| Description: `Name of the Tensorboard.`, |
| }, |
| "run_count": { |
| Type: schema.TypeString, |
| Computed: true, |
| Description: `The number of Runs stored in this Tensorboard.`, |
| }, |
| "terraform_labels": { |
| Type: schema.TypeMap, |
| Computed: true, |
| Description: `The combination of labels configured directly on the resource |
| and default labels configured on the provider.`, |
| Elem: &schema.Schema{Type: schema.TypeString}, |
| }, |
| "update_time": { |
| Type: schema.TypeString, |
| Computed: true, |
| Description: `The timestamp of when the Tensorboard was last updated in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits.`, |
| }, |
| "project": { |
| Type: schema.TypeString, |
| Optional: true, |
| Computed: true, |
| ForceNew: true, |
| }, |
| }, |
| UseJSONNumber: true, |
| } |
| } |
| |
| func resourceVertexAITensorboardCreate(d *schema.ResourceData, meta interface{}) error { |
| config := meta.(*transport_tpg.Config) |
| userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent) |
| if err != nil { |
| return err |
| } |
| |
| obj := make(map[string]interface{}) |
| displayNameProp, err := expandVertexAITensorboardDisplayName(d.Get("display_name"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("display_name"); !tpgresource.IsEmptyValue(reflect.ValueOf(displayNameProp)) && (ok || !reflect.DeepEqual(v, displayNameProp)) { |
| obj["displayName"] = displayNameProp |
| } |
| descriptionProp, err := expandVertexAITensorboardDescription(d.Get("description"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("description"); !tpgresource.IsEmptyValue(reflect.ValueOf(descriptionProp)) && (ok || !reflect.DeepEqual(v, descriptionProp)) { |
| obj["description"] = descriptionProp |
| } |
| encryptionSpecProp, err := expandVertexAITensorboardEncryptionSpec(d.Get("encryption_spec"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("encryption_spec"); !tpgresource.IsEmptyValue(reflect.ValueOf(encryptionSpecProp)) && (ok || !reflect.DeepEqual(v, encryptionSpecProp)) { |
| obj["encryptionSpec"] = encryptionSpecProp |
| } |
| labelsProp, err := expandVertexAITensorboardEffectiveLabels(d.Get("effective_labels"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("effective_labels"); !tpgresource.IsEmptyValue(reflect.ValueOf(labelsProp)) && (ok || !reflect.DeepEqual(v, labelsProp)) { |
| obj["labels"] = labelsProp |
| } |
| |
| url, err := tpgresource.ReplaceVars(d, config, "{{VertexAIBasePath}}projects/{{project}}/locations/{{region}}/tensorboards") |
| if err != nil { |
| return err |
| } |
| |
| log.Printf("[DEBUG] Creating new Tensorboard: %#v", obj) |
| billingProject := "" |
| |
| project, err := tpgresource.GetProject(d, config) |
| if err != nil { |
| return fmt.Errorf("Error fetching project for Tensorboard: %s", err) |
| } |
| billingProject = project |
| |
| // err == nil indicates that the billing_project value was found |
| if bp, err := tpgresource.GetBillingProject(d, config); err == nil { |
| billingProject = bp |
| } |
| |
| res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{ |
| Config: config, |
| Method: "POST", |
| Project: billingProject, |
| RawURL: url, |
| UserAgent: userAgent, |
| Body: obj, |
| Timeout: d.Timeout(schema.TimeoutCreate), |
| }) |
| if err != nil { |
| return fmt.Errorf("Error creating Tensorboard: %s", err) |
| } |
| |
| // Store the ID now |
| id, err := tpgresource.ReplaceVars(d, config, "{{name}}") |
| if err != nil { |
| return fmt.Errorf("Error constructing id: %s", err) |
| } |
| d.SetId(id) |
| |
| // Use the resource in the operation response to populate |
| // identity fields and d.Id() before read |
| var opRes map[string]interface{} |
| err = VertexAIOperationWaitTimeWithResponse( |
| config, res, &opRes, project, "Creating Tensorboard", userAgent, |
| d.Timeout(schema.TimeoutCreate)) |
| if err != nil { |
| // The resource didn't actually create |
| d.SetId("") |
| |
| return fmt.Errorf("Error waiting to create Tensorboard: %s", err) |
| } |
| |
| if err := d.Set("name", flattenVertexAITensorboardName(opRes["name"], d, config)); err != nil { |
| return err |
| } |
| |
| // This may have caused the ID to update - update it if so. |
| id, err = tpgresource.ReplaceVars(d, config, "{{name}}") |
| if err != nil { |
| return fmt.Errorf("Error constructing id: %s", err) |
| } |
| d.SetId(id) |
| |
| log.Printf("[DEBUG] Finished creating Tensorboard %q: %#v", d.Id(), res) |
| |
| return resourceVertexAITensorboardRead(d, meta) |
| } |
| |
| func resourceVertexAITensorboardRead(d *schema.ResourceData, meta interface{}) error { |
| config := meta.(*transport_tpg.Config) |
| userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent) |
| if err != nil { |
| return err |
| } |
| |
| url, err := tpgresource.ReplaceVars(d, config, "{{VertexAIBasePath}}{{name}}") |
| if err != nil { |
| return err |
| } |
| |
| billingProject := "" |
| |
| project, err := tpgresource.GetProject(d, config) |
| if err != nil { |
| return fmt.Errorf("Error fetching project for Tensorboard: %s", err) |
| } |
| billingProject = project |
| |
| // err == nil indicates that the billing_project value was found |
| if bp, err := tpgresource.GetBillingProject(d, config); err == nil { |
| billingProject = bp |
| } |
| |
| res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{ |
| Config: config, |
| Method: "GET", |
| Project: billingProject, |
| RawURL: url, |
| UserAgent: userAgent, |
| }) |
| if err != nil { |
| return transport_tpg.HandleNotFoundError(err, d, fmt.Sprintf("VertexAITensorboard %q", d.Id())) |
| } |
| |
| if err := d.Set("project", project); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| |
| if err := d.Set("name", flattenVertexAITensorboardName(res["name"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("display_name", flattenVertexAITensorboardDisplayName(res["displayName"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("description", flattenVertexAITensorboardDescription(res["description"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("encryption_spec", flattenVertexAITensorboardEncryptionSpec(res["encryptionSpec"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("blob_storage_path_prefix", flattenVertexAITensorboardBlobStoragePathPrefix(res["blobStoragePathPrefix"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("run_count", flattenVertexAITensorboardRunCount(res["runCount"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("create_time", flattenVertexAITensorboardCreateTime(res["createTime"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("update_time", flattenVertexAITensorboardUpdateTime(res["updateTime"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("labels", flattenVertexAITensorboardLabels(res["labels"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("terraform_labels", flattenVertexAITensorboardTerraformLabels(res["labels"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| if err := d.Set("effective_labels", flattenVertexAITensorboardEffectiveLabels(res["labels"], d, config)); err != nil { |
| return fmt.Errorf("Error reading Tensorboard: %s", err) |
| } |
| |
| return nil |
| } |
| |
| func resourceVertexAITensorboardUpdate(d *schema.ResourceData, meta interface{}) error { |
| config := meta.(*transport_tpg.Config) |
| userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent) |
| if err != nil { |
| return err |
| } |
| |
| billingProject := "" |
| |
| project, err := tpgresource.GetProject(d, config) |
| if err != nil { |
| return fmt.Errorf("Error fetching project for Tensorboard: %s", err) |
| } |
| billingProject = project |
| |
| obj := make(map[string]interface{}) |
| displayNameProp, err := expandVertexAITensorboardDisplayName(d.Get("display_name"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("display_name"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, displayNameProp)) { |
| obj["displayName"] = displayNameProp |
| } |
| descriptionProp, err := expandVertexAITensorboardDescription(d.Get("description"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("description"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, descriptionProp)) { |
| obj["description"] = descriptionProp |
| } |
| labelsProp, err := expandVertexAITensorboardEffectiveLabels(d.Get("effective_labels"), d, config) |
| if err != nil { |
| return err |
| } else if v, ok := d.GetOkExists("effective_labels"); !tpgresource.IsEmptyValue(reflect.ValueOf(v)) && (ok || !reflect.DeepEqual(v, labelsProp)) { |
| obj["labels"] = labelsProp |
| } |
| |
| url, err := tpgresource.ReplaceVars(d, config, "{{VertexAIBasePath}}{{name}}") |
| if err != nil { |
| return err |
| } |
| |
| log.Printf("[DEBUG] Updating Tensorboard %q: %#v", d.Id(), obj) |
| updateMask := []string{} |
| |
| if d.HasChange("display_name") { |
| updateMask = append(updateMask, "displayName") |
| } |
| |
| if d.HasChange("description") { |
| updateMask = append(updateMask, "description") |
| } |
| |
| if d.HasChange("effective_labels") { |
| updateMask = append(updateMask, "labels") |
| } |
| // updateMask is a URL parameter but not present in the schema, so ReplaceVars |
| // won't set it |
| url, err = transport_tpg.AddQueryParams(url, map[string]string{"updateMask": strings.Join(updateMask, ",")}) |
| if err != nil { |
| return err |
| } |
| |
| // err == nil indicates that the billing_project value was found |
| if bp, err := tpgresource.GetBillingProject(d, config); err == nil { |
| billingProject = bp |
| } |
| |
| // if updateMask is empty we are not updating anything so skip the post |
| if len(updateMask) > 0 { |
| res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{ |
| Config: config, |
| Method: "PATCH", |
| Project: billingProject, |
| RawURL: url, |
| UserAgent: userAgent, |
| Body: obj, |
| Timeout: d.Timeout(schema.TimeoutUpdate), |
| }) |
| |
| if err != nil { |
| return fmt.Errorf("Error updating Tensorboard %q: %s", d.Id(), err) |
| } else { |
| log.Printf("[DEBUG] Finished updating Tensorboard %q: %#v", d.Id(), res) |
| } |
| |
| err = VertexAIOperationWaitTime( |
| config, res, project, "Updating Tensorboard", userAgent, |
| d.Timeout(schema.TimeoutUpdate)) |
| |
| if err != nil { |
| return err |
| } |
| } |
| |
| return resourceVertexAITensorboardRead(d, meta) |
| } |
| |
| func resourceVertexAITensorboardDelete(d *schema.ResourceData, meta interface{}) error { |
| config := meta.(*transport_tpg.Config) |
| userAgent, err := tpgresource.GenerateUserAgentString(d, config.UserAgent) |
| if err != nil { |
| return err |
| } |
| |
| billingProject := "" |
| |
| project, err := tpgresource.GetProject(d, config) |
| if err != nil { |
| return fmt.Errorf("Error fetching project for Tensorboard: %s", err) |
| } |
| billingProject = project |
| |
| url, err := tpgresource.ReplaceVars(d, config, "{{VertexAIBasePath}}{{name}}") |
| if err != nil { |
| return err |
| } |
| |
| var obj map[string]interface{} |
| log.Printf("[DEBUG] Deleting Tensorboard %q", d.Id()) |
| |
| // err == nil indicates that the billing_project value was found |
| if bp, err := tpgresource.GetBillingProject(d, config); err == nil { |
| billingProject = bp |
| } |
| |
| res, err := transport_tpg.SendRequest(transport_tpg.SendRequestOptions{ |
| Config: config, |
| Method: "DELETE", |
| Project: billingProject, |
| RawURL: url, |
| UserAgent: userAgent, |
| Body: obj, |
| Timeout: d.Timeout(schema.TimeoutDelete), |
| }) |
| if err != nil { |
| return transport_tpg.HandleNotFoundError(err, d, "Tensorboard") |
| } |
| |
| err = VertexAIOperationWaitTime( |
| config, res, project, "Deleting Tensorboard", userAgent, |
| d.Timeout(schema.TimeoutDelete)) |
| |
| if err != nil { |
| return err |
| } |
| |
| log.Printf("[DEBUG] Finished deleting Tensorboard %q: %#v", d.Id(), res) |
| return nil |
| } |
| |
| func resourceVertexAITensorboardImport(d *schema.ResourceData, meta interface{}) ([]*schema.ResourceData, error) { |
| config := meta.(*transport_tpg.Config) |
| if err := tpgresource.ParseImportId([]string{ |
| "projects/(?P<project>[^/]+)/locations/(?P<region>[^/]+)/tensorboards/(?P<name>[^/]+)", |
| "(?P<project>[^/]+)/(?P<region>[^/]+)/(?P<name>[^/]+)", |
| "(?P<region>[^/]+)/(?P<name>[^/]+)", |
| "(?P<name>[^/]+)", |
| }, d, config); err != nil { |
| return nil, err |
| } |
| |
| // Replace import id for the resource id |
| id, err := tpgresource.ReplaceVars(d, config, "projects/{{project}}/locations/{{region}}/tensorboards/{{name}}") |
| if err != nil { |
| return nil, fmt.Errorf("Error constructing id: %s", err) |
| } |
| d.SetId(id) |
| |
| if err := d.Set("name", id); err != nil { |
| return nil, fmt.Errorf("Error setting name for import: %s", err) |
| } |
| |
| return []*schema.ResourceData{d}, nil |
| } |
| |
| func flattenVertexAITensorboardName(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardDisplayName(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardDescription(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardEncryptionSpec(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| if v == nil { |
| return nil |
| } |
| original := v.(map[string]interface{}) |
| if len(original) == 0 { |
| return nil |
| } |
| transformed := make(map[string]interface{}) |
| transformed["kms_key_name"] = |
| flattenVertexAITensorboardEncryptionSpecKmsKeyName(original["kmsKeyName"], d, config) |
| return []interface{}{transformed} |
| } |
| func flattenVertexAITensorboardEncryptionSpecKmsKeyName(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardBlobStoragePathPrefix(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardRunCount(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardCreateTime(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardUpdateTime(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func flattenVertexAITensorboardLabels(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| if v == nil { |
| return v |
| } |
| |
| transformed := make(map[string]interface{}) |
| if l, ok := d.GetOkExists("labels"); ok { |
| for k := range l.(map[string]interface{}) { |
| transformed[k] = v.(map[string]interface{})[k] |
| } |
| } |
| |
| return transformed |
| } |
| |
| func flattenVertexAITensorboardTerraformLabels(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| if v == nil { |
| return v |
| } |
| |
| transformed := make(map[string]interface{}) |
| if l, ok := d.GetOkExists("terraform_labels"); ok { |
| for k := range l.(map[string]interface{}) { |
| transformed[k] = v.(map[string]interface{})[k] |
| } |
| } |
| |
| return transformed |
| } |
| |
| func flattenVertexAITensorboardEffectiveLabels(v interface{}, d *schema.ResourceData, config *transport_tpg.Config) interface{} { |
| return v |
| } |
| |
| func expandVertexAITensorboardDisplayName(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) { |
| return v, nil |
| } |
| |
| func expandVertexAITensorboardDescription(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) { |
| return v, nil |
| } |
| |
| func expandVertexAITensorboardEncryptionSpec(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) { |
| l := v.([]interface{}) |
| if len(l) == 0 || l[0] == nil { |
| return nil, nil |
| } |
| raw := l[0] |
| original := raw.(map[string]interface{}) |
| transformed := make(map[string]interface{}) |
| |
| transformedKmsKeyName, err := expandVertexAITensorboardEncryptionSpecKmsKeyName(original["kms_key_name"], d, config) |
| if err != nil { |
| return nil, err |
| } else if val := reflect.ValueOf(transformedKmsKeyName); val.IsValid() && !tpgresource.IsEmptyValue(val) { |
| transformed["kmsKeyName"] = transformedKmsKeyName |
| } |
| |
| return transformed, nil |
| } |
| |
| func expandVertexAITensorboardEncryptionSpecKmsKeyName(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (interface{}, error) { |
| return v, nil |
| } |
| |
| func expandVertexAITensorboardEffectiveLabels(v interface{}, d tpgresource.TerraformResourceData, config *transport_tpg.Config) (map[string]string, error) { |
| if v == nil { |
| return map[string]string{}, nil |
| } |
| m := make(map[string]string) |
| for k, val := range v.(map[string]interface{}) { |
| m[k] = val.(string) |
| } |
| return m, nil |
| } |
