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terraform-provider-dynamix/internal/service/cloudapi/bservice/flattens/flatten_resource_bservice.go

145 lines
5.9 KiB

package flattens
import (
"context"
"fmt"
"strconv"
"github.com/hashicorp/terraform-plugin-framework/diag"
"github.com/hashicorp/terraform-plugin-framework/types"
"github.com/hashicorp/terraform-plugin-log/tflog"
"repository.basistech.ru/BASIS/decort-golang-sdk/pkg/cloudapi/bservice"
"repository.basistech.ru/BASIS/terraform-provider-dynamix/internal/client"
"repository.basistech.ru/BASIS/terraform-provider-dynamix/internal/service/cloudapi/bservice/models"
"repository.basistech.ru/BASIS/terraform-provider-dynamix/internal/service/cloudapi/bservice/utilities"
)
func BServiceResource(ctx context.Context, state *models.RecordBasicServiceResourceModel, c *client.Client) diag.Diagnostics {
tflog.Info(ctx, "Start flattens.BServiceResource")
diags := diag.Diagnostics{}
serviceId := uint64(state.ServiceId.ValueInt64())
if serviceId == 0 {
id, err := strconv.Atoi(state.ID.ValueString())
if err != nil {
diags.AddError(
"flattens.BServiceResource: cannot parse resource ID from state",
err.Error())
return diags
}
serviceId = uint64(id)
}
recordBService, err := utilities.BServiceResourceCheckPresence(ctx, serviceId, c)
if err != nil {
diags.AddError(fmt.Sprintf("flattens.BServiceResource: Cannot get info about resource with ID %v", serviceId), err.Error())
return diags
}
tflog.Info(ctx, "flattens.BServiceResource: before flatten", map[string]any{"service_id": serviceId, "recordBService": recordBService})
*state = models.RecordBasicServiceResourceModel{
Name: state.Name,
RGID: state.RGID,
Permanently: state.Permanently,
Enable: state.Enable,
Restore: state.Restore,
Start: state.Start,
Snapshots: state.Snapshots,
Timeouts: state.Timeouts,
SSHKey: types.StringValue(recordBService.SSHKey),
SSHUser: types.StringValue(recordBService.SSHUser),
ServiceId: types.Int64Value(int64(recordBService.ID)),
AccountID: types.Int64Value(int64(recordBService.AccountID)),
Computes: flattenComputes(ctx, recordBService.Computes),
Groups: flattenGroups(ctx, recordBService.Groups),
AccountName: types.StringValue(recordBService.Name),
BaseDomain: types.StringValue(recordBService.BaseDomain),
CPUTotal: types.Int64Value(int64(recordBService.CPUTotal)),
CreatedBy: types.StringValue(recordBService.CreatedBy),
CreatedTime: types.Int64Value(int64(recordBService.CreatedTime)),
DeletedBy: types.StringValue(recordBService.DeletedBy),
DeletedTime: types.Int64Value(int64(recordBService.DeletedTime)),
DiskTotal: types.Int64Value(int64(recordBService.DiskTotal)),
GID: types.Int64Value(int64(recordBService.GID)),
GUID: types.Int64Value(int64(recordBService.GUID)),
Milestones: types.Int64Value(int64(recordBService.Milestones)),
ParentSrvID: types.Int64Value(int64(recordBService.ParentSrvID)),
ParentSrvType: types.StringValue(recordBService.ParentSrvType),
RAMTotal: types.Int64Value(int64(recordBService.RAMTotal)),
RGName: types.StringValue(recordBService.RGName),
Status: types.StringValue(recordBService.Status),
TechStatus: types.StringValue(recordBService.TechStatus),
UpdatedBy: types.StringValue(recordBService.UpdatedBy),
UpdatedTime: types.Int64Value(int64(recordBService.UpdatedTime)),
UserManaged: types.BoolValue(recordBService.UserManaged),
ID: types.StringValue(strconv.Itoa(int(serviceId))),
}
tflog.Info(ctx, "flattens.BServiceResource: after flatten", map[string]any{"service_id": state.ID.ValueString()})
tflog.Info(ctx, "End flattens.BServiceResource", map[string]any{"service_id": state.ID.ValueString()})
return nil
}
func flattenComputes(ctx context.Context, items bservice.ListComputes) types.List {
tflog.Info(ctx, "Start flattenComputes")
tempSlice := make([]types.Object, 0, len(items))
for _, v := range items {
temp := models.ItemComputeResourceModel{
AccountID: types.Int64Value(int64(v.AccountID)),
Architecture: types.StringValue(v.Architecture),
CompGroupID: types.Int64Value(int64(v.CompGroupID)),
CompGroupName: types.StringValue(v.CompGroupName),
CompGroupRole: types.StringValue(v.CompGroupRole),
ID: types.Int64Value(int64(v.ID)),
Name: types.StringValue(v.Name),
RGID: types.Int64Value(int64(v.RGID)),
StackID: types.Int64Value(int64(v.StackID)),
Status: types.StringValue(v.Status),
TechStatus: types.StringValue(v.TechStatus),
}
obj, diags := types.ObjectValueFrom(ctx, models.ItemComputeResource, temp)
if diags != nil {
tflog.Error(ctx, fmt.Sprint("Error flattenComputes struct to obj", diags))
}
tempSlice = append(tempSlice, obj)
}
res, diags := types.ListValueFrom(ctx, types.ObjectType{AttrTypes: models.ItemComputeResource}, tempSlice)
if diags != nil {
tflog.Error(ctx, fmt.Sprint("Error flattenComputes", diags))
}
tflog.Info(ctx, "End flattenComputes")
return res
}
func flattenGroups(ctx context.Context, items bservice.ListGroups) types.List {
tflog.Info(ctx, "Start flattenGroups")
tempSlice := make([]types.Object, 0, len(items))
for _, v := range items {
temp := models.ItemGroupResourceModel{
Computes: types.Int64Value(int64(v.Computes)),
Consistency: types.BoolValue(v.Consistency),
ID: types.Int64Value(int64(v.ID)),
Name: types.StringValue(v.Name),
Status: types.StringValue(v.Status),
TechStatus: types.StringValue(v.TechStatus),
}
obj, diags := types.ObjectValueFrom(ctx, models.ItemGroupResource, temp)
if diags != nil {
tflog.Error(ctx, fmt.Sprint("Error flattenGroups struct to obj", diags))
}
tempSlice = append(tempSlice, obj)
}
res, diags := types.ListValueFrom(ctx, types.ObjectType{AttrTypes: models.ItemGroupResource}, tempSlice)
if diags != nil {
tflog.Error(ctx, fmt.Sprint("Error flattenGroups", diags))
}
tflog.Info(ctx, "End flattenGroups")
return res
}