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Generate libsonnet source from libgenerator PR tf-libsonnet/libgenera…
…tor#238 Signed-off-by: tflibsonnet-ci <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,61 @@ | ||
| 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='emr_supported_instance_types', url='', help='`emr_supported_instance_types` represents the `aws_emr_supported_instance_types` Terraform data source.\n\n\n\nThis package contains functions and utilities for setting up the data source using Jsonnet code.\n'), | ||
| '#new':: d.fn(help="\n`aws.data.emr_supported_instance_types.new` injects a new `data_aws_emr_supported_instance_types` Terraform `data source`\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 aws.data.emr_supported_instance_types.new('some_id')\n\nYou can get the reference to the `id` field of the created `aws.data.emr_supported_instance_types` using the reference:\n\n $._ref.data_aws_emr_supported_instance_types.some_id.get('id')\n\nThis is the same as directly entering `\"${ data_aws_emr_supported_instance_types.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 - `dataSrcLabel` (`string`): The name label of the block.\n - `release_label` (`string`): Set the `release_label` field on the resulting data source block.\n - `supported_instance_types` (`list[obj]`): Set the `supported_instance_types` field on the resulting data source block. When `null`, the `supported_instance_types` sub block will be omitted from the resulting object. When setting the sub block, it is recommended to construct the object using the [aws.data.emr_supported_instance_types.supported_instance_types.new](#fn-supported_instance_typesnew) constructor.\n\n**Returns**:\n- A mixin object that injects the new data source into the root Terraform configuration.\n", args=[]), | ||
| new( | ||
| dataSrcLabel, | ||
| release_label, | ||
| supported_instance_types=null, | ||
| _meta={} | ||
| ):: tf.withData( | ||
| type='aws_emr_supported_instance_types', | ||
| label=dataSrcLabel, | ||
| attrs=self.newAttrs(release_label=release_label, supported_instance_types=supported_instance_types), | ||
| _meta=_meta | ||
| ), | ||
| '#newAttrs':: d.fn(help='\n`aws.data.emr_supported_instance_types.newAttrs` constructs a new object with attributes and blocks configured for the `emr_supported_instance_types`\nTerraform data source.\n\nUnlike [aws.data.emr_supported_instance_types.new](#fn-new), this function will not inject the `data source`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) 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 - `release_label` (`string`): Set the `release_label` field on the resulting object.\n - `supported_instance_types` (`list[obj]`): Set the `supported_instance_types` field on the resulting object. When `null`, the `supported_instance_types` sub block will be omitted from the resulting object. When setting the sub block, it is recommended to construct the object using the [aws.data.emr_supported_instance_types.supported_instance_types.new](#fn-supported_instance_typesnew) constructor.\n\n**Returns**:\n - An attribute object that can be used with [tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) to construct a new `emr_supported_instance_types` data source into the root Terraform configuration.\n', args=[]), | ||
| newAttrs( | ||
| release_label, | ||
| supported_instance_types=null | ||
| ):: std.prune(a={ | ||
| release_label: release_label, | ||
| supported_instance_types: supported_instance_types, | ||
| }), | ||
| supported_instance_types:: { | ||
| '#new':: d.fn(help='\n`aws.emr_supported_instance_types.supported_instance_types.new` constructs a new object with attributes and blocks configured for the `supported_instance_types`\nTerraform sub block.\n\n\n\n**Returns**:\n - An attribute object that represents the `supported_instance_types` sub block.\n', args=[]), | ||
| new( | ||
|
|
||
| ):: std.prune(a={}), | ||
| }, | ||
| '#withReleaseLabel':: d.fn(help='`aws.string.withReleaseLabel` constructs a mixin object that can be merged into the `string`\nTerraform data source block to set or update the release_label field.\n\n\n\n**Args**:\n - `dataSrcLabel` (`string`): The name label of the block to update.\n - `value` (`string`): The value to set for the `release_label` field.\n', args=[]), | ||
| withReleaseLabel(dataSrcLabel, value): { | ||
| data+: { | ||
| aws_emr_supported_instance_types+: { | ||
| [dataSrcLabel]+: { | ||
| release_label: value, | ||
| }, | ||
| }, | ||
| }, | ||
| }, | ||
| '#withSupportedInstanceTypes':: d.fn(help='`aws.list[obj].withSupportedInstanceTypes` constructs a mixin object that can be merged into the `list[obj]`\nTerraform data source block to set or update the supported_instance_types field.\n\nThis function will replace the array with the passed in `value`. If you wish to instead append the\npassed in value to the existing array, use the [aws.list[obj].withSupportedInstanceTypesMixin](TODO) function.\n\n\n**Args**:\n - `dataSrcLabel` (`string`): The name label of the block to update.\n - `value` (`list[obj]`): The value to set for the `supported_instance_types` field.\n', args=[]), | ||
| withSupportedInstanceTypes(dataSrcLabel, value): { | ||
| data+: { | ||
| aws_emr_supported_instance_types+: { | ||
| [dataSrcLabel]+: { | ||
| supported_instance_types: value, | ||
| }, | ||
| }, | ||
| }, | ||
| }, | ||
| '#withSupportedInstanceTypesMixin':: d.fn(help='`aws.list[obj].withSupportedInstanceTypesMixin` constructs a mixin object that can be merged into the `list[obj]`\nTerraform data source block to set or update the supported_instance_types field.\n\nThis function will append the passed in array or object to the existing array. If you wish\nto instead replace the array with the passed in `value`, use the [aws.list[obj].withSupportedInstanceTypes](TODO)\nfunction.\n\n\n**Args**:\n - `dataSrcLabel` (`string`): The name label of the block to update.\n - `value` (`list[obj]`): The value to set for the `supported_instance_types` field.\n', args=[]), | ||
| withSupportedInstanceTypesMixin(dataSrcLabel, value): { | ||
| data+: { | ||
| aws_emr_supported_instance_types+: { | ||
| [dataSrcLabel]+: { | ||
| supported_instance_types+: if std.isArray(v=value) then value else [value], | ||
| }, | ||
| }, | ||
| }, | ||
| }, | ||
| } |
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32 changes: 32 additions & 0 deletions
32
5.x/_gen/resources/apprunner_default_auto_scaling_configuration_version.libsonnet
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,32 @@ | ||
| 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='apprunner_default_auto_scaling_configuration_version', url='', help='`apprunner_default_auto_scaling_configuration_version` represents the `aws_apprunner_default_auto_scaling_configuration_version` 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`aws.apprunner_default_auto_scaling_configuration_version.new` injects a new `aws_apprunner_default_auto_scaling_configuration_version` 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 aws.apprunner_default_auto_scaling_configuration_version.new('some_id')\n\nYou can get the reference to the `id` field of the created `aws.apprunner_default_auto_scaling_configuration_version` using the reference:\n\n $._ref.aws_apprunner_default_auto_scaling_configuration_version.some_id.get('id')\n\nThis is the same as directly entering `\"${ aws_apprunner_default_auto_scaling_configuration_version.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 - `auto_scaling_configuration_arn` (`string`): Set the `auto_scaling_configuration_arn` field on the resulting resource block.\n\n**Returns**:\n- A mixin object that injects the new resource into the root Terraform configuration.\n", args=[]), | ||
| new( | ||
| resourceLabel, | ||
| auto_scaling_configuration_arn, | ||
| _meta={} | ||
| ):: tf.withResource( | ||
| type='aws_apprunner_default_auto_scaling_configuration_version', | ||
| label=resourceLabel, | ||
| attrs=self.newAttrs(auto_scaling_configuration_arn=auto_scaling_configuration_arn), | ||
| _meta=_meta | ||
| ), | ||
| '#newAttrs':: d.fn(help='\n`aws.apprunner_default_auto_scaling_configuration_version.newAttrs` constructs a new object with attributes and blocks configured for the `apprunner_default_auto_scaling_configuration_version`\nTerraform resource.\n\nUnlike [aws.apprunner_default_auto_scaling_configuration_version.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 - `auto_scaling_configuration_arn` (`string`): Set the `auto_scaling_configuration_arn` field on 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 `apprunner_default_auto_scaling_configuration_version` resource into the root Terraform configuration.\n', args=[]), | ||
| newAttrs( | ||
| auto_scaling_configuration_arn | ||
| ):: std.prune(a={ | ||
| auto_scaling_configuration_arn: auto_scaling_configuration_arn, | ||
| }), | ||
| '#withAutoScalingConfigurationArn':: d.fn(help='`aws.string.withAutoScalingConfigurationArn` constructs a mixin object that can be merged into the `string`\nTerraform resource block to set or update the auto_scaling_configuration_arn 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 `auto_scaling_configuration_arn` field.\n', args=[]), | ||
| withAutoScalingConfigurationArn(resourceLabel, value): { | ||
| resource+: { | ||
| aws_apprunner_default_auto_scaling_configuration_version+: { | ||
| [resourceLabel]+: { | ||
| auto_scaling_configuration_arn: value, | ||
| }, | ||
| }, | ||
| }, | ||
| }, | ||
| } |
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