The tokenizer-s3 module enables seamless integration with Amazon Web Services (AWS) S3, allowing you to read and tokenize data from S3 objects in a streaming fashion. This module extends the functionality of the strtok3 tokenizer by providing support for chunked S3 data access.
Streaming Support: Efficiently read and tokenize data from Amazon S3 objects using streaming, which is ideal for handling large files without loading them entirely into memory. Integration with strtok3: Works seamlessly with the strtok3 tokenizer to process S3 data streams, making it easy to handle various tokenization tasks. Flexible Access: Provides options to configure S3 access, allowing for customized tokenization workflows based on your specific needs. Promise-Based API: Utilizes a promise-based API for easy integration into modern asynchronous workflows.
npm install @tokenizer/s3
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makeTokenizer
Initialize a tokenizer from an Amazon S3 client for use in extracting metadata from media files.
async function makeTokenizer(
s3: S3Client,
objRequest: GetObjectRequest,
options?: IS3Options
): Promise<ITokenizer>
s3
(S3Client
):
The S3 client used to make requests to Amazon S3.
[!NOTE] To configure AWS client authentication see Configuration and credential file settings.
objRequest
(GetObjectRequest
):
The S3 object request containing details about the S3 object to fetch. This includes properties like the bucket name and object key.
options
(IS3Options
, optional):
Optional configuration settings for the tokenizer.
disableChunked
: When set to true
, disables chunked requests and instead fetches the full object with ranged requests.For remaining options see strtok3.
Promise<ITokenizer>
:
A Promise that resolves to an instance of ITokenizer
.
This tokenizer can be used to extract metadata from the specified media file in the S3 object.
Module: version 0.3.0 migrated from CommonJS to pure ECMAScript Module (ESM). The distributed JavaScript codebase is compliant with the ECMAScript 2020 (11th Edition) standard.
This module requires a Node.js ≥ 16 engine. It can also be used in a browser environment when bundled with a module bundler.
Determine file type (based on it's content) from a file stored Amazon S3 cloud:
import { fileTypeFromTokenizer } from 'file-type';
import { fromEnv } from '@aws-sdk/credential-providers';
import { S3Client } from '@aws-sdk/client-s3';
import { makeTokenizer } from '@tokenizer/s3';
(async () => {
// Initialize S3 client
const s3 = new S3Client({
region: 'eu-west-2',
credentials: fromEnv(),
});
// Initialize S3 tokenizer
const s3Tokenizer = await makeTokenizer(s3, {
Bucket: 'affectlab',
Key: '1min_35sec.mp4'
});
// Figure out what kind of file it is
const fileType = await fileTypeFromTokenizer(s3Tokenizer);
console.log(fileType);
})();
See also example at file-type.
Retrieve music-metadata
import { makeTokenizer } from '@tokenizer/s3';
import { S3Client } from '@aws-sdk/client-s3';
import { parseFromTokenizer } from 'music-metadata/lib/core';
/**
* Retrieve metadata from Amazon S3 object
* @param objRequest S3 object request
* @param options `tokenizer-s3` options
* @return Metadata
*/
async function parseS3Object(s3, objRequest, options) {
const s3Tokenizer = await makeTokenizer(s3, objRequest, options);
return parseFromTokenizer(s3Tokenizer, options);
}
(async () => {
const s3 = new S3Client({});
const metadata = await parseS3Object(s3, {
Bucket: 'standing0media',
Key: '01 Where The Highway Takes Me.mp3'
});
console.log(metadata);
})();
A module implementation of this example can be found in @music-metadata/s3.