Medical Vocabulary Args
data class MedicalVocabularyArgs(val languageCode: Output<String>? = null, val tags: Output<Map<String, String>>? = null, val vocabularyFileUri: Output<String>? = null, val vocabularyName: Output<String>? = null) : ConvertibleToJava<MedicalVocabularyArgs>
Resource for managing an AWS Transcribe MedicalVocabulary.
Example Usage
Basic Usage
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const example = new aws.s3.BucketV2("example", {
bucket: "example-medical-vocab-123",
forceDestroy: true,
});
const object = new aws.s3.BucketObjectv2("object", {
bucket: example.id,
key: "transcribe/test1.txt",
source: new pulumi.asset.FileAsset("test.txt"),
});
const exampleMedicalVocabulary = new aws.transcribe.MedicalVocabulary("example", {
vocabularyName: "example",
languageCode: "en-US",
vocabularyFileUri: pulumi.interpolate`s3://${example.id}/${object.key}`,
tags: {
tag1: "value1",
tag2: "value3",
},
}, {
dependsOn: [object],
});
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import pulumi
import pulumi_aws as aws
example = aws.s3.BucketV2("example",
bucket="example-medical-vocab-123",
force_destroy=True)
object = aws.s3.BucketObjectv2("object",
bucket=example.id,
key="transcribe/test1.txt",
source=pulumi.FileAsset("test.txt"))
example_medical_vocabulary = aws.transcribe.MedicalVocabulary("example",
vocabulary_name="example",
language_code="en-US",
vocabulary_file_uri=pulumi.Output.all(
id=example.id,
key=object.key
).apply(lambda resolved_outputs: f"s3://{resolved_outputs['id']}/{resolved_outputs['key']}")
,
tags={
"tag1": "value1",
"tag2": "value3",
},
opts = pulumi.ResourceOptions(depends_on=[object]))
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
var example = new Aws.S3.BucketV2("example", new()
{
Bucket = "example-medical-vocab-123",
ForceDestroy = true,
});
var @object = new Aws.S3.BucketObjectv2("object", new()
{
Bucket = example.Id,
Key = "transcribe/test1.txt",
Source = new FileAsset("test.txt"),
});
var exampleMedicalVocabulary = new Aws.Transcribe.MedicalVocabulary("example", new()
{
VocabularyName = "example",
LanguageCode = "en-US",
VocabularyFileUri = Output.Tuple(example.Id, @object.Key).Apply(values =>
{
var id = values.Item1;
var key = values.Item2;
return $"s3://{id}/{key}";
}),
Tags =
{
{ "tag1", "value1" },
{ "tag2", "value3" },
},
}, new CustomResourceOptions
{
DependsOn =
{
@object,
},
});
});
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package main
import (
"fmt"
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/s3"
"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/transcribe"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
example, err := s3.NewBucketV2(ctx, "example", &s3.BucketV2Args{
Bucket: pulumi.String("example-medical-vocab-123"),
ForceDestroy: pulumi.Bool(true),
})
if err != nil {
return err
}
object, err := s3.NewBucketObjectv2(ctx, "object", &s3.BucketObjectv2Args{
Bucket: example.ID(),
Key: pulumi.String("transcribe/test1.txt"),
Source: pulumi.NewFileAsset("test.txt"),
})
if err != nil {
return err
}
_, err = transcribe.NewMedicalVocabulary(ctx, "example", &transcribe.MedicalVocabularyArgs{
VocabularyName: pulumi.String("example"),
LanguageCode: pulumi.String("en-US"),
VocabularyFileUri: pulumi.All(example.ID(), object.Key).ApplyT(func(_args []interface{}) (string, error) {
id := _args[0].(string)
key := _args[1].(string)
return fmt.Sprintf("s3://%v/%v", id, key), nil
}).(pulumi.StringOutput),
Tags: pulumi.StringMap{
"tag1": pulumi.String("value1"),
"tag2": pulumi.String("value3"),
},
}, pulumi.DependsOn([]pulumi.Resource{
object,
}))
if err != nil {
return err
}
return nil
})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.s3.BucketV2;
import com.pulumi.aws.s3.BucketV2Args;
import com.pulumi.aws.s3.BucketObjectv2;
import com.pulumi.aws.s3.BucketObjectv2Args;
import com.pulumi.aws.transcribe.MedicalVocabulary;
import com.pulumi.aws.transcribe.MedicalVocabularyArgs;
import com.pulumi.resources.CustomResourceOptions;
import com.pulumi.asset.FileAsset;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
public static void main(String[] args) {
Pulumi.run(App::stack);
}
public static void stack(Context ctx) {
var example = new BucketV2("example", BucketV2Args.builder()
.bucket("example-medical-vocab-123")
.forceDestroy(true)
.build());
var object = new BucketObjectv2("object", BucketObjectv2Args.builder()
.bucket(example.id())
.key("transcribe/test1.txt")
.source(new FileAsset("test.txt"))
.build());
var exampleMedicalVocabulary = new MedicalVocabulary("exampleMedicalVocabulary", MedicalVocabularyArgs.builder()
.vocabularyName("example")
.languageCode("en-US")
.vocabularyFileUri(Output.tuple(example.id(), object.key()).applyValue(values -> {
var id = values.t1;
var key = values.t2;
return String.format("s3://%s/%s", id,key);
}))
.tags(Map.ofEntries(
Map.entry("tag1", "value1"),
Map.entry("tag2", "value3")
))
.build(), CustomResourceOptions.builder()
.dependsOn(object)
.build());
}
}
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resources:
example:
type: aws:s3:BucketV2
properties:
bucket: example-medical-vocab-123
forceDestroy: true
object:
type: aws:s3:BucketObjectv2
properties:
bucket: ${example.id}
key: transcribe/test1.txt
source:
fn::FileAsset: test.txt
exampleMedicalVocabulary:
type: aws:transcribe:MedicalVocabulary
name: example
properties:
vocabularyName: example
languageCode: en-US
vocabularyFileUri: s3://${example.id}/${object.key}
tags:
tag1: value1
tag2: value3
options:
dependsOn:
- ${object}
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Import
Using pulumi import
, import Transcribe MedicalVocabulary using the vocabulary_name
. For example:
$ pulumi import aws:transcribe/medicalVocabulary:MedicalVocabulary example example-name
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Constructors
Properties
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The language code you selected for your medical vocabulary. US English (en-US) is the only language supported with Amazon Transcribe Medical.
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The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary.
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The name of the Medical Vocabulary. The following arguments are optional: