Fastify plugin to parse the multipart content-type. Supports:
- Async / Await
- Async iterator support to handle multiple parts
- Stream & Disk mode
- Accumulate whole file in memory
- Mode to attach all fields to the request body
- Tested across Linux/Mac/Windows
Under the hood it uses busboy.
npm i fastify-multipart
# Typescript support
npm i -D @types/busboy
If you are looking for the documentation for the legacy callback-api please see here.
const fastify = require('fastify')()
const fs = require('fs')
const util = require('util')
const path = require('path')
const { pipeline } = require('stream')
const pump = util.promisify(pipeline)
fastify.register(require('fastify-multipart'))
fastify.post('/', async function (req, reply) {
// process a single file
// also, consider that if you allow to upload multiple files
// you must consume all files otherwise the promise will never fulfill
const data = await req.file()
data.file // stream
data.fields // other parsed parts
data.fieldname
data.filename
data.encoding
data.mimetype
// to accumulate the file in memory! Be careful!
//
// await data.toBuffer() // Buffer
//
// or
await pump(data.file, fs.createWriteStream(data.filename))
// be careful of permission issues on disk and not overwrite
// sensitive files that could cause security risks
// also, consider that if the file stream is not consumed, the promise will never fulfill
reply.send()
})
fastify.listen(3000, err => {
if (err) throw err
console.log(`server listening on ${fastify.server.address().port}`)
})
You can also pass optional arguments to busboy when registering with Fastify. This is useful for setting limits on the content that can be uploaded. A full list of available options can be found in the busboy documentation.
Note: if the file stream that is provided by data.file
is not consumed, like in the example below with the usage of pump, the promise will not be fulfilled at the end of the multipart processing.
This behavior is inherited from busboy.
fastify.register(require('fastify-multipart'), {
limits: {
fieldNameSize: 100, // Max field name size in bytes
fieldSize: 100, // Max field value size in bytes
fields: 10, // Max number of non-file fields
fileSize: 1000000, // For multipart forms, the max file size in bytes
files: 1, // Max number of file fields
headerPairs: 2000 // Max number of header key=>value pairs
}
});
Note: if the file stream that is provided by data.file
is not consumed, like in the example below with the usage of pump, the promise will not be fulfilled at the end of the multipart processing.
This behavior is inherited from busboy.
Note: if you set a fileSize
limit and you want to know if the file limit was reached you can:
- listen to
data.file.on('limit')
- or check at the end of the stream the property
data.file.truncated
- or call
data.file.toBuffer()
and wait for the error to be thrown
const data = await req.file()
await pump(data.file, fs.createWriteStream(data.filename))
if (data.file.truncated) {
// you may need to delete the part of the file that has been saved on disk
// before the `limits.fileSize` has been reached
reply.send(new fastify.multipartErrors.FilesLimitError());
}
// OR
const data = await req.file()
try {
const buffer = await data.toBuffer()
} catch (err) {
// fileSize limit reached!
}
Additionally, you can pass per-request options to the req.file
, req.files
, req.saveRequestFiles
or req.multipartIterator
function.
fastify.post('/', async function (req, reply) {
const options = { limits: { fileSize: 1000 } };
const data = await req.file(options)
await pump(data.file, fs.createWriteStream(data.filename))
reply.send()
})
fastify.post('/', async function (req, reply) {
const parts = req.files()
for await (const part of parts) {
await pump(part.file, fs.createWriteStream(part.filename))
}
reply.send()
})
fastify.post('/upload/raw/any', async function (req, reply) {
const parts = req.parts()
for await (const part of parts) {
if (part.file) {
await pump(part.file, fs.createWriteStream(part.filename))
} else {
console.log(part)
}
}
reply.send()
})
fastify.post('/upload/raw/any', async function (req, reply) {
const data = await req.file()
const buffer = await data.toBuffer()
// upload to S3
reply.send()
})
This will store all files in the operating system default directory for temporary files. As soon as the response ends all files are removed.
fastify.post('/upload/files', async function (req, reply) {
// stores files to tmp dir and return files
const files = await req.saveRequestFiles()
files[0].filepath
files[0].fieldname
files[0].filename
files[0].encoding
files[0].mimetype
files[0].fields // other parsed parts
reply.send()
})
If you set a fileSize
limit, it is able to throw a RequestFileTooLargeError
error when limit reached.
fastify.post('/upload/files', async function (req, reply) {
try {
const file = await req.file({ limits: { fileSize: 17000 } })
//const files = req.files({ limits: { fileSize: 17000 } })
//const parts = req.parts({ limits: { fileSize: 17000 } })
//const files = await req.saveRequestFiles({ limits: { fileSize: 17000 } })
reply.send()
} catch (error) {
// error instanceof fastify.multipartErrors.RequestFileTooLargeError
}
})
If you want to fallback to the handling before 4.0.0
, you can disable the throwing behavior by passing throwFileSizeLimit
.
Note: It will not affect the behavior of saveRequestFiles()
// globally disable
fastify.register(fastifyMultipart, { throwFileSizeLimit: false })
fastify.post('/upload/file', async function (req, reply) {
const file = await req.file({ throwFileSizeLimit: false, limits: { fileSize: 17000 } })
//const files = req.files({ throwFileSizeLimit: false, limits: { fileSize: 17000 } })
//const parts = req.parts({ throwFileSizeLimit: false, limits: { fileSize: 17000 } })
//const files = await req.saveRequestFiles({ throwFileSizeLimit: false, limits: { fileSize: 17000 } })
reply.send()
})
This allows you to parse all fields automatically and assign them to the request.body
. By default files are accumulated in memory (Be careful!) to buffer objects. Uncaught errors are handled by Fastify.
fastify.register(require('fastify-multipart'), { attachFieldsToBody: true })
fastify.post('/upload/files', async function (req, reply) {
const uploadValue = await req.body.upload.toBuffer() // access files
const fooValue = req.body.foo.value // other fields
const body = Object.fromEntries(
Object.keys(req.body).map((key) => [key, req.body[key].value])
) // Request body in key-value pairs, like req.body in Express (Node 12+)
})
You can also define an onFile
handler to avoid accumulating all files in memory.
async function onFile(part) {
await pump(part.file, fs.createWriteStream(part.filename))
}
fastify.register(require('fastify-multipart'), { attachFieldsToBody: true, onFile })
fastify.post('/upload/files', async function (req, reply) {
const fooValue = req.body.foo.value // other fields
})
Note: if you assign all fields to the body and don't define an onFile
handler, you won't be able to read the files through streams, as they are already read and their contents are accumulated in memory.
You can only use the toBuffer
method to read the content.
If you try to read from a stream and pipe to a new file, you will obtain an empty new file.
If you enable attachFieldsToBody
and set sharedSchemaId
a shared JSON Schema is added, which can be used to validate parsed multipart fields.
const opts = {
attachFieldsToBody: true,
sharedSchemaId: '#mySharedSchema'
}
fastify.register(require('fastify-multipart'), opts)
fastify.post('/upload/files', {
schema: {
body: {
type: 'object',
required: ['myField'],
properties: {
myField: { $ref: '#mySharedSchema'},
// or
myFiles: { type: 'array', items: fastify.getSchema('mySharedSchema') },
// or
hello: {
properties: {
value: {
type: 'string',
enum: ['male']
}
}
}
}
}
}
}, function (req, reply) {
console.log({ body: req.body })
reply.send('done')
})
We export all custom errors via a server decorator fastify.multipartErrors
. This is useful if you want to react to specific errors. They are derived from fastify-error and include the correct statusCode
property.
fastify.post('/upload/files', async function (req, reply) {
const { FilesLimitError } = fastify.multipartErrors
})
This project is kindly sponsored by:
Licensed under MIT.