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## Version 4.0.1
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## Version 4.0.2
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## Features
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- Added new data source decort_k8s_computes used to list all VMs in k8s cluster
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- Added the ability to manipulate worker-groups inside resource decort_k8s
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- Added new required field name to workers block
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- Added new optional fields (labels, annotations, taints) to workers block
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## Bug Fix
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## Bug Fix
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- Fixed incorrect state reading when creating/deleting port_forwarding in decort_kvmvm
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- Fixed incorrect state reading in resource decort_k8s
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- Fixed possible segmentation fault with multiple concurrent resource manipulations
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@ -0,0 +1,123 @@
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/*
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Copyright (c) 2019-2022 Digital Energy Cloud Solutions LLC. All Rights Reserved.
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Authors:
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Petr Krutov, <petr.krutov@digitalenergy.online>
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Stanislav Solovev, <spsolovev@digitalenergy.online>
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Kasim Baybikov, <kmbaybikov@basistech.ru>
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Tim Tkachev, <tvtkachev@basistech.ru>
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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/*
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Terraform DECORT provider - manage resources provided by DECORT (Digital Energy Cloud
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Orchestration Technology) with Terraform by Hashicorp.
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Source code: https://repository.basistech.ru/BASIS/terraform-provider-decort
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Please see README.md to learn where to place source code so that it
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builds seamlessly.
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Documentation: https://repository.basistech.ru/BASIS/terraform-provider-decort/wiki
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*/
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package k8s
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import (
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"context"
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"fmt"
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"github.com/hashicorp/terraform-plugin-sdk/v2/diag"
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"github.com/hashicorp/terraform-plugin-sdk/v2/helper/schema"
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"repository.basistech.ru/BASIS/terraform-provider-decort/internal/constants"
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)
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func dataSourceK8sComputesRead(ctx context.Context, d *schema.ResourceData, m interface{}) diag.Diagnostics {
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cluster, err := utilityK8sCheckPresence(ctx, d, m)
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if err != nil {
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d.SetId("")
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return diag.FromErr(err)
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}
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d.SetId(fmt.Sprint(cluster.ID))
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flattenK8sDataComputes(d, cluster)
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return nil
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}
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func computesSchemaMake() map[string]*schema.Schema {
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return map[string]*schema.Schema{
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"id": {
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Type: schema.TypeInt,
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Computed: true,
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},
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"name": {
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Type: schema.TypeString,
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Computed: true,
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},
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"group_name": {
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Type: schema.TypeString,
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Computed: true,
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},
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"status": {
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Type: schema.TypeString,
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Computed: true,
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},
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"tech_status": {
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Type: schema.TypeString,
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Computed: true,
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},
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}
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}
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func workerComputesSchemaMake() map[string]*schema.Schema {
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return map[string]*schema.Schema{}
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}
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func dataSourceK8sComputesSchemaMake() map[string]*schema.Schema {
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return map[string]*schema.Schema{
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"k8s_id": {
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Type: schema.TypeInt,
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Required: true,
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},
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"masters": {
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Type: schema.TypeList,
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Computed: true,
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Elem: &schema.Resource{
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Schema: computesSchemaMake(),
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},
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},
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"workers": {
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Type: schema.TypeList,
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Computed: true,
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Elem: &schema.Resource{
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Schema: computesSchemaMake(),
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},
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},
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}
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}
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func DataSourceK8sComputes() *schema.Resource {
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return &schema.Resource{
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SchemaVersion: 1,
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ReadContext: dataSourceK8sComputesRead,
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Timeouts: &schema.ResourceTimeout{
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Read: &constants.Timeout60s,
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Default: &constants.Timeout60s,
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},
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Schema: dataSourceK8sComputesSchemaMake(),
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}
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}
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Reference in new issue