Feathers
abstract blob store
service
npm install feathers-blob --save
Also install a abstract-blob-store
compatible module.
const BlobService = require('feathers-blob')
blobService = BlobService(options)
options.Model
is an instantiated interface that implements the abstract-blob-store
APIoptions.id
is a string 'key' for the blob identifier.returnUri
defaults is true
, set it to false
to remove it from output.returnBuffer
defaults is false
, set it to true
to return buffer in the output. 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:
uri
pointing to data URI of the blob,buffer
pointing to raw data buffer of the blob along with its contentType
(i.e. MIME type).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)
Query:
VersionId
(string): Version ID of document to access if using a versioned s3 bucketExample:
blobService.get('my-file.pdf', {
query: {VersionId: 'xslkdfjlskdjfskljf.sdjfdkjfkdjfd'},
})
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 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.
Copyright (c) 2018
Licensed under the MIT license.