feathersjs-ecosystem / feathers-blob

Feathers service for blob storage, like S3.
http://feathersjs.com
MIT License
92 stars 31 forks source link
feathers-service-adapter feathersjs

feathers-blob

Node.js CI Dependency Status Download Status

Feathers abstract blob store service

Installation

npm install feathers-blob --save

Also install a abstract-blob-store compatible module.

API

const BlobService = require('feathers-blob')

blobService = BlobService(options)

Tip: returnUri/returnBuffer are mutually exclusive.

If you only want a buffer output instead of a data URI on create/get operations, you need to set returnBuffer to be true, also to set retuarnUri to be false.

If you need both, use the default options, then extract the buffer from the data URI on the client-side to avoid transferring the data twice over the wire.

blobService.create(body, params)

where input body is an object with either:

Optionally, you can specify in the body the blob id which can be the file path where you want to store the file, otherwise it would default to ${hash(content)}.${extension(contentType)}.

Tip: You can use feathers hooks to customize the id. You might not want the client-side to write whereever they want.

returns output 'data' of the form:

{
  [this.id]: `${hash(content)}.${extension(contentType)}`,
  uri: body.uri, // When returnUri options is set true
  buffer: body.buffer, // When returnBuffer options is set true
  size: length(content)
}

blobService.get(id, params)

returns output data of the same form as create.

blobService.remove(id, params)

Params:

Query:

Example:

blobService.get('my-file.pdf', {
  query: {VersionId: 'xslkdfjlskdjfskljf.sdjfdkjfkdjfd'},
})

Example

const { getBase64DataURI } = require('dauria');
const AWS = require('aws-sdk');
const S3BlobStore = require('s3-blob-store');
const feathers = require('@feathersjs/feathers');
const BlobService = require('feathers-blob');

const s3 = new AWS.S3({
  endpoint: 'https://{service}.{region}.{provider}.com',
  accessKeyId: process.env.AWS_ACCESS_KEY_ID,
  secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY,
});

const blobStore = S3BlobStore({
  client: s3,
  bucket: 'feathers-blob'
});

const blob = {
  uri: getBase64DataURI(new Buffer('hello world'), 'text/plain')
}

const app = feathers();

app.use('/upload', BlobService({
  Model: blobStore
}));

const blobService = app.service('upload');

blobService.create(blob).then(function (result) {
  console.log('Stored blob with id', result.id);
}).catch(err => {
  console.error(err);
});

Should you need to change your bucket's options, such as permissions, pass a params.s3 object using a before hook.

app.service('upload').before({
  create(hook) {
    hook.params.s3 = { ACL: 'public-read' }; // makes uploaded files public
  }
});

For a more complete example, see examples/app which can be run with npm run example.

Tests

Tests can be run by installing the node modules and running npm run test.

To test the S3 read/write capabilities set the environmental variable S3_BUCKET to the name of a bucket you have read/write access to. Enable the versioning functionality on the bucket.

License

Copyright (c) 2018

Licensed under the MIT license.