Update dependency DopplerHQ/terraform-provider-doppler to v1.4.0

1.x/_gen/main.libsonnet

@@ -7,12 +7,14 @@ local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
   group: (import 'resources/group.libsonnet'),
   integration_aws_parameter_store: (import 'resources/integration_aws_parameter_store.libsonnet'),
   integration_aws_secrets_manager: (import 'resources/integration_aws_secrets_manager.libsonnet'),
+  integration_terraform_cloud: (import 'resources/integration_terraform_cloud.libsonnet'),
   project: (import 'resources/project.libsonnet'),
   project_member_group: (import 'resources/project_member_group.libsonnet'),
   project_member_service_account: (import 'resources/project_member_service_account.libsonnet'),
   secret: (import 'resources/secret.libsonnet'),
   secrets_sync_aws_parameter_store: (import 'resources/secrets_sync_aws_parameter_store.libsonnet'),
   secrets_sync_aws_secrets_manager: (import 'resources/secrets_sync_aws_secrets_manager.libsonnet'),
+  secrets_sync_terraform_cloud: (import 'resources/secrets_sync_terraform_cloud.libsonnet'),
   service_account: (import 'resources/service_account.libsonnet'),
   service_token: (import 'resources/service_token.libsonnet'),
   data: (import 'data/main.libsonnet'),

1.x/_gen/provider_doppler.libsonnet

@@ -2,7 +2,7 @@ local tf = (import 'github.com/tf-libsonnet/core/main.libsonnet');
 local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
 {
   '#':: d.pkg(name='provider', url='', help='`provider` represents the `doppler` Terraform provider config.\n\n\n\nThis package contains functions and utilities for setting up the provider using Jsonnet code.\n'),
-  '#new':: d.fn(help='\n`doppler.provider.new` injects a new `doppler` Terraform `provider`\nblock into the root module document.\n\nOptionally, this inserts the provider into the\n[required_providers](https://developer.hashicorp.com/terraform/language/providers/requirements) `terraform` sub block if\nthe `src` and/or `version` parameters are set.\n\n**Args**:\n  - `doppler_token` (`string`): A Doppler token, either a personal or service token\n  - `host` (`string`): The Doppler API host (i.e. https://api.doppler.com) When `null`, the `host` field will be omitted from the resulting object.\n  - `verify_tls` (`bool`): Whether or not to verify TLS When `null`, the `verify_tls` field will be omitted from the resulting object.\n  - `alias` (`string`): The provider `alias` to set for this instance of the provider block. When `null`, the `alias`\n  field will be omitted from the resulting provider block.\n  - `src` (`string`): The provider `source` to set on the resulting `required_providers` block. If `src` or `version` is\n  set and is not `null`, a `required_providers` block and entry for the provider will be injected into the document.\n  - `version` (`string`): The provider `version` to set on the resulting `required_providers` block. If `src` or\n  `version` is set and is not `null`, a `required_providers` block and entry for the provider will be injected into the\n  document.\n\n\n**Returns**:\n- A mixin object that injects the new provider (and optionally, `required_providers` block) into the root Terraform configuration.\n', args=[]),
+  '#new':: d.fn(help='\n`doppler.provider.new` injects a new `doppler` Terraform `provider`\nblock into the root module document.\n\nOptionally, this inserts the provider into the\n[required_providers](https://developer.hashicorp.com/terraform/language/providers/requirements) `terraform` sub block if\nthe `src` and/or `version` parameters are set.\n\n**Args**:\n  - `doppler_token` (`string`): A Doppler token, either a personal or service token. This can also be set via the DOPPLER_TOKEN environment variable.\n  - `host` (`string`): The Doppler API host (i.e. https://api.doppler.com). This can also be set via the DOPPLER_API_HOST environment variable. When `null`, the `host` field will be omitted from the resulting object.\n  - `verify_tls` (`bool`): Whether or not to verify TLS. This can also be set via the DOPPLER_VERIFY_TLS environment variable. When `null`, the `verify_tls` field will be omitted from the resulting object.\n  - `alias` (`string`): The provider `alias` to set for this instance of the provider block. When `null`, the `alias`\n  field will be omitted from the resulting provider block.\n  - `src` (`string`): The provider `source` to set on the resulting `required_providers` block. If `src` or `version` is\n  set and is not `null`, a `required_providers` block and entry for the provider will be injected into the document.\n  - `version` (`string`): The provider `version` to set on the resulting `required_providers` block. If `src` or\n  `version` is set and is not `null`, a `required_providers` block and entry for the provider will be injected into the\n  document.\n\n\n**Returns**:\n- A mixin object that injects the new provider (and optionally, `required_providers` block) into the root Terraform configuration.\n', args=[]),
   new(
     doppler_token,
     host=null,
@@ -17,7 +17,7 @@ local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
     version=version,
     attrs=self.newAttrs(doppler_token=doppler_token, host=host, verify_tls=verify_tls)
   ),
-  '#newAttrs':: d.fn(help='\n`doppler.provider.` constructs a new object with attributes and blocks configured for the `doppler`\nTerraform `provider`.\n\nUnlike [doppler.provider.new](#fn-dopplernew), this function will not inject the `provider`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withProvider](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withprovider) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `doppler_token` (`string`): A Doppler token, either a personal or service token\n  - `host` (`string`): The Doppler API host (i.e. https://api.doppler.com) When `null`, the `host` field will be omitted from the resulting object.\n  - `verify_tls` (`bool`): Whether or not to verify TLS When `null`, the `verify_tls` field will be omitted from the resulting object.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withProvider](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withprovider) to construct a new `doppler` provider\n  configuration into the root Terraform configuration.\n', args=[]),
+  '#newAttrs':: d.fn(help='\n`doppler.provider.` constructs a new object with attributes and blocks configured for the `doppler`\nTerraform `provider`.\n\nUnlike [doppler.provider.new](#fn-dopplernew), this function will not inject the `provider`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withProvider](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withprovider) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `doppler_token` (`string`): A Doppler token, either a personal or service token. This can also be set via the DOPPLER_TOKEN environment variable.\n  - `host` (`string`): The Doppler API host (i.e. https://api.doppler.com). This can also be set via the DOPPLER_API_HOST environment variable. When `null`, the `host` field will be omitted from the resulting object.\n  - `verify_tls` (`bool`): Whether or not to verify TLS. This can also be set via the DOPPLER_VERIFY_TLS environment variable. When `null`, the `verify_tls` field will be omitted from the resulting object.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withProvider](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withprovider) to construct a new `doppler` provider\n  configuration into the root Terraform configuration.\n', args=[]),
   newAttrs(
     doppler_token,
     host=null,

1.x/_gen/resources/integration_terraform_cloud.libsonnet

@@ -0,0 +1,45 @@
+local tf = (import 'github.com/tf-libsonnet/core/main.libsonnet');
+local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
+{
+  '#':: d.pkg(name='integration_terraform_cloud', url='', help='`integration_terraform_cloud` represents the `doppler_integration_terraform_cloud` Terraform resource.\n\n\n\nThis package contains functions and utilities for setting up the resource using Jsonnet code.\n'),
+  '#new':: d.fn(help="\n`doppler.integration_terraform_cloud.new` injects a new `doppler_integration_terraform_cloud` Terraform `resource`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    doppler.integration_terraform_cloud.new('some_id')\n\nYou can get the reference to the `id` field of the created `doppler.integration_terraform_cloud` using the reference:\n\n    $._ref.doppler_integration_terraform_cloud.some_id.get('id')\n\nThis is the same as directly entering `\"${ doppler_integration_terraform_cloud.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block.\n  - `api_key` (`string`): A Terraform Cloud API key.\n  - `name` (`string`): The name of the integration\n\n**Returns**:\n- A mixin object that injects the new resource into the root Terraform configuration.\n", args=[]),
+  new(
+    resourceLabel,
+    api_key,
+    name,
+    _meta={}
+  ):: tf.withResource(
+    type='doppler_integration_terraform_cloud',
+    label=resourceLabel,
+    attrs=self.newAttrs(api_key=api_key, name=name),
+    _meta=_meta
+  ),
+  '#newAttrs':: d.fn(help='\n`doppler.integration_terraform_cloud.newAttrs` constructs a new object with attributes and blocks configured for the `integration_terraform_cloud`\nTerraform resource.\n\nUnlike [doppler.integration_terraform_cloud.new](#fn-new), this function will not inject the `resource`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withResource](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withresource) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `api_key` (`string`): A Terraform Cloud API key.\n  - `name` (`string`): The name of the integration\n\n**Returns**:\n  - An attribute object that can be used with [tf.withResource](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withresource) to construct a new `integration_terraform_cloud` resource into the root Terraform configuration.\n', args=[]),
+  newAttrs(
+    api_key,
+    name
+  ):: std.prune(a={
+    api_key: api_key,
+    name: name,
+  }),
+  '#withApiKey':: d.fn(help='`doppler.string.withApiKey` constructs a mixin object that can be merged into the `string`\nTerraform resource block to set or update the api_key field.\n\n\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block to update.\n  - `value` (`string`): The value to set for the `api_key` field.\n', args=[]),
+  withApiKey(resourceLabel, value): {
+    resource+: {
+      doppler_integration_terraform_cloud+: {
+        [resourceLabel]+: {
+          api_key: value,
+        },
+      },
+    },
+  },
+  '#withName':: d.fn(help='`doppler.string.withName` constructs a mixin object that can be merged into the `string`\nTerraform resource block to set or update the name field.\n\n\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block to update.\n  - `value` (`string`): The value to set for the `name` field.\n', args=[]),
+  withName(resourceLabel, value): {
+    resource+: {
+      doppler_integration_terraform_cloud+: {
+        [resourceLabel]+: {
+          name: value,
+        },
+      },
+    },
+  },
+}

1.x/_gen/resources/secrets_sync_aws_secrets_manager.libsonnet

@@ -2,14 +2,15 @@ local tf = (import 'github.com/tf-libsonnet/core/main.libsonnet');
 local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
 {
   '#':: d.pkg(name='secrets_sync_aws_secrets_manager', url='', help='`secrets_sync_aws_secrets_manager` represents the `doppler_secrets_sync_aws_secrets_manager` Terraform resource.\n\n\n\nThis package contains functions and utilities for setting up the resource using Jsonnet code.\n'),
-  '#new':: d.fn(help="\n`doppler.secrets_sync_aws_secrets_manager.new` injects a new `doppler_secrets_sync_aws_secrets_manager` Terraform `resource`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    doppler.secrets_sync_aws_secrets_manager.new('some_id')\n\nYou can get the reference to the `id` field of the created `doppler.secrets_sync_aws_secrets_manager` using the reference:\n\n    $._ref.doppler_secrets_sync_aws_secrets_manager.some_id.get('id')\n\nThis is the same as directly entering `\"${ doppler_secrets_sync_aws_secrets_manager.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block.\n  - `config` (`string`): The name of the Doppler config\n  - `integration` (`string`): The slug of the integration to use for this sync\n  - `path` (`string`): The path to the secret in AWS\n  - `project` (`string`): The name of the Doppler project\n  - `region` (`string`): The AWS region\n\n**Returns**:\n- A mixin object that injects the new resource into the root Terraform configuration.\n", args=[]),
+  '#new':: d.fn(help="\n`doppler.secrets_sync_aws_secrets_manager.new` injects a new `doppler_secrets_sync_aws_secrets_manager` Terraform `resource`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    doppler.secrets_sync_aws_secrets_manager.new('some_id')\n\nYou can get the reference to the `id` field of the created `doppler.secrets_sync_aws_secrets_manager` using the reference:\n\n    $._ref.doppler_secrets_sync_aws_secrets_manager.some_id.get('id')\n\nThis is the same as directly entering `\"${ doppler_secrets_sync_aws_secrets_manager.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block.\n  - `config` (`string`): The name of the Doppler config\n  - `integration` (`string`): The slug of the integration to use for this sync\n  - `path` (`string`): The path to the secret in AWS\n  - `project` (`string`): The name of the Doppler project\n  - `region` (`string`): The AWS region\n  - `tags` (`obj`): AWS tags to attach to the secrets When `null`, the `tags` field will be omitted from the resulting object.\n\n**Returns**:\n- A mixin object that injects the new resource into the root Terraform configuration.\n", args=[]),
   new(
     resourceLabel,
     config,
     integration,
     path,
     project,
     region,
+    tags=null,
     _meta={}
   ):: tf.withResource(
     type='doppler_secrets_sync_aws_secrets_manager',
@@ -19,23 +20,26 @@ local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
       integration=integration,
       path=path,
       project=project,
-      region=region
+      region=region,
+      tags=tags
     ),
     _meta=_meta
   ),
-  '#newAttrs':: d.fn(help='\n`doppler.secrets_sync_aws_secrets_manager.newAttrs` constructs a new object with attributes and blocks configured for the `secrets_sync_aws_secrets_manager`\nTerraform resource.\n\nUnlike [doppler.secrets_sync_aws_secrets_manager.new](#fn-new), this function will not inject the `resource`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withResource](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withresource) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `config` (`string`): The name of the Doppler config\n  - `integration` (`string`): The slug of the integration to use for this sync\n  - `path` (`string`): The path to the secret in AWS\n  - `project` (`string`): The name of the Doppler project\n  - `region` (`string`): The AWS region\n\n**Returns**:\n  - An attribute object that can be used with [tf.withResource](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withresource) to construct a new `secrets_sync_aws_secrets_manager` resource into the root Terraform configuration.\n', args=[]),
+  '#newAttrs':: d.fn(help='\n`doppler.secrets_sync_aws_secrets_manager.newAttrs` constructs a new object with attributes and blocks configured for the `secrets_sync_aws_secrets_manager`\nTerraform resource.\n\nUnlike [doppler.secrets_sync_aws_secrets_manager.new](#fn-new), this function will not inject the `resource`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withResource](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withresource) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `config` (`string`): The name of the Doppler config\n  - `integration` (`string`): The slug of the integration to use for this sync\n  - `path` (`string`): The path to the secret in AWS\n  - `project` (`string`): The name of the Doppler project\n  - `region` (`string`): The AWS region\n  - `tags` (`obj`): AWS tags to attach to the secrets When `null`, the `tags` field will be omitted from the resulting object.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withResource](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withresource) to construct a new `secrets_sync_aws_secrets_manager` resource into the root Terraform configuration.\n', args=[]),
   newAttrs(
     config,
     integration,
     path,
     project,
-    region
+    region,
+    tags=null
   ):: std.prune(a={
     config: config,
     integration: integration,
     path: path,
     project: project,
     region: region,
+    tags: tags,
   }),
   '#withConfig':: d.fn(help='`doppler.string.withConfig` constructs a mixin object that can be merged into the `string`\nTerraform resource block to set or update the config field.\n\n\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block to update.\n  - `value` (`string`): The value to set for the `config` field.\n', args=[]),
   withConfig(resourceLabel, value): {
@@ -87,4 +91,14 @@ local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
       },
     },
   },
+  '#withTags':: d.fn(help='`doppler.obj.withTags` constructs a mixin object that can be merged into the `obj`\nTerraform resource block to set or update the tags field.\n\n\n\n**Args**:\n  - `resourceLabel` (`string`): The name label of the block to update.\n  - `value` (`obj`): The value to set for the `tags` field.\n', args=[]),
+  withTags(resourceLabel, value): {
+    resource+: {
+      doppler_secrets_sync_aws_secrets_manager+: {
+        [resourceLabel]+: {
+          tags: value,
+        },
+      },
+    },
+  },
 }