form-data-encoder
Encode FormData
content into the multipart/form-data
format
Requirements
- Node.js v18.0.0 or higher;
- Runtime should support
TextEncoder
, TextDecoder
, WeakMap
, WeakSet
and async generator functions; - For TypeScript users: tsc v4.3 or higher.
Installation
You can install this package using npm:
npm install form-data-encoder
Or yarn:
yarn add form-data-encoder
Or pnpm:
pnpm add form-data-encoder
Usage
- To start the encoding process, you need to create a new Encoder instance with the FormData you want to encode:
import {Readable} from "stream"
import {FormData, File} from "formdata-node"
import {FormDataEncoder} from "form-data-encoder"
import fetch from "node-fetch"
const form = new FormData()
form.set("greeting", "Hello, World!")
form.set("file", new File(["On Soviet Moon landscape see binoculars through YOU"], "file.txt"))
const encoder = new FormDataEncoder(form)
const options = {
method: "post",
headers: encoder.headers,
body: Readable.from(encoder.encode())
}
const response = await fetch("https://httpbin.org/post", options)
console.log(await response.json())
- Encoder support different spec-compatible FormData implementations. Let's try it with
formdata-polyfill
:
import {Readable} from "stream"
import {FormDataEncoder} from "form-data-encoder"
import {FormData} from "formdata-polyfill/esm-min.js"
import {File} from "fetch-blob"
const form = new FormData()
form.set("field", "Some value")
form.set("file", new File(["File content goes here"], "file.txt"))
const encoder = new FormDataEncoder(form)
const options = {
method: "post",
headers: encoder.headers,
body: Readable.from(encoder)
}
await fetch("https://httpbin.org/post", options)
- Because the Encoder is iterable (it has both Symbol.asyncIterator and Symbol.iterator methods), you can use it with different targets. Let's say you want to convert FormData content into
Blob
, for that you can write a function like this:
import {Readable} from "stream"
import {FormDataEncoder} from "form-data-encoder"
import {FormData, File, Blob} from "formdata-node"
import {fileFromPath} from "formdata-node/file-from-path"
import fetch from "node-fetch"
const form = new FormData()
form.set("field", "Just a random string")
form.set("file", new File(["Using files is class amazing"], "file.txt"))
form.set("fileFromPath", await fileFromPath("path/to/a/file.txt"))
const encoder = new FormDataEncoder(form)
const options = {
method: "post",
body: new Blob(encoder, {type: encoder.contentType})
}
const response = await fetch("https://httpbin.org/post", options)
console.log(await response.json())
- Here's FormData to Blob conversion with async-iterator approach:
import {FormData} from "formdata-polyfill/esm-min.js"
import {FormDataEncoder} from "form-data-encoder"
import {blobFrom} from "fetch-blob/from.js"
import Blob from "fetch-blob"
import fetch from "node-fetch"
async function toBlob(form) {
const encoder = new Encoder(form)
const chunks = []
for await (const chunk of encoder) {
chunks.push(chunk)
}
return new Blob(chunks, {type: encoder.contentType})
}
const form = new FormData()
form.set("name", "John Doe")
form.set("avatar", await blobFrom("path/to/an/avatar.png"), "avatar.png")
const options = {
method: "post",
body: await toBlob(form)
}
await fetch("https://httpbin.org/post", options)
- Another way to convert FormData parts to blob using
form-data-encoder
is making a Blob-ish class:
import {Readable} from "stream"
import {FormDataEncoder} from "form-data-encoder"
import {FormData} from "formdata-polyfill/esm-min.js"
import {blobFrom} from "fetch-blob/from.js"
import Blob from "fetch-blob"
import fetch from "node-fetch"
class BlobDataItem {
constructor(encoder) {
this.#encoder = encoder
this.#size = encoder.headers["Content-Length"]
this.#type = encoder.headers["Content-Type"]
}
get type() {
return this.#type
}
get size() {
return this.#size
}
stream() {
return Readable.from(this.#encoder)
}
get [Symbol.toStringTag]() {
return "Blob"
}
}
const form = new FormData()
form.set("name", "John Doe")
form.set("avatar", await blobFrom("path/to/an/avatar.png"), "avatar.png")
const encoder = new FormDataEncoder(form)
const blob = new BlobDataItem(enocoder)
const options = {
method: "post",
body: blob
}
await fetch("https://httpbin.org/post", options)
- In this example we will pull FormData content into the ReadableStream:
import {ReadableStream} from "web-streams-polyfill/ponyfill/es2018"
import {FormDataEncoder} from "form-data-encoder"
import {FormData} from "formdata-node"
import fetch from "node-fetch"
function toReadableStream(encoder) {
const iterator = encoder.encode()
return new ReadableStream({
async pull(controller) {
const {value, done} = await iterator.next()
if (done) {
return controller.close()
}
controller.enqueue(value)
}
})
}
const form = new FormData()
form.set("field", "My hovercraft is full of eels")
const encoder = new FormDataEncoder(form)
const options = {
method: "post",
headers: encoder.headers,
body: toReadableStream(encoder)
}
await fetch("https://httpbin.org/post", options)
- Speaking of async iterables - if HTTP client supports them, you can use encoder like this:
import {FormDataEncoder} from "form-data-encoder"
import {FormData} from "formdata-node"
import fetch from "node-fetch"
const form = new FormData()
form.set("field", "My hovercraft is full of eels")
const encoder = new FormDataEncoder(form)
const options = {
method: "post",
headers: encoder.headers,
body: encoder
}
await fetch("https://httpbin.org/post", options)
- ...And for those client whose supporting form-data-encoder out of the box, the usage will be much, much more simpler:
import {FormData} from "formdata-node"
import fetch from "node-fetch"
const form = new FormData()
form.set("field", "My hovercraft is full of eels")
const options = {
method: "post",
body: form
}
await fetch("https://httpbin.org/post", options)
API
class FormDataEncoder
constructor(form[, boundary, options]) -> {FormDataEncoder}
- {FormDataLike} form - FormData object to encode. This object must be a spec-compatible FormData implementation.
- {string} [boundary] - An optional boundary string that will be used by the encoder. If there's no boundary string is present, FormDataEncoder will generate it automatically.
- {object} [options] - FormDataEncoder options.
- {boolean} [options.enableAdditionalHeaders = false] - When enabled, the encoder will emit additional per part headers, such as
Content-Length
. Please note that the web clients do not include these, so when enabled this option might cause an error if multipart/form-data
does not consider additional headers.
Creates a multipart/form-data
encoder.
Instance properties
boundary -> {string}
Returns boundary string.
contentType -> {string}
Returns Content-Type header.
contentLength -> {string}
Return Content-Length header.
Returns headers object with Content-Type and Content-Length header.
Instance methods
values() -> {Generator<Uint8Array | FileLike, void, undefined>}
Creates an iterator allowing to go through form-data parts (with metadata).
This method will not read the files and will not split values big into smaller chunks.
encode() -> {AsyncGenerator<Uint8Array, void, undefined>}
Creates an async iterator allowing to perform the encoding by portions.
This method reads through files and splits big values into smaller pieces (65536 bytes per each).
[Symbol.iterator]() -> {Generator<Uint8Array | FileLike, void, undefined>}
An alias for Encoder#values()
method.
[Symbol.asyncIterator]() -> {AsyncGenerator<Uint8Array, void, undefined>}
An alias for Encoder#encode()
method.
isFile(value) -> {boolean}
Check if a value is File-ish object.
- {unknown} value - a value to test
isFormData(value) -> {boolean}
Check if a value is FormData-ish object.
- {unknown} value - a value to test