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https://github.com/octet-stream/form-data-encoder
Encode FormData content into the multipart/form-data format
https://github.com/octet-stream/form-data-encoder
encoder file-upload form-data formdata spec-compliant typescript
Last synced: 6 days ago
JSON representation
Encode FormData content into the multipart/form-data format
- Host: GitHub
- URL: https://github.com/octet-stream/form-data-encoder
- Owner: octet-stream
- License: mit
- Created: 2021-05-10T20:31:42.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-05T15:11:42.000Z (5 months ago)
- Last Synced: 2024-06-26T11:41:52.917Z (4 months ago)
- Topics: encoder, file-upload, form-data, formdata, spec-compliant, typescript
- Language: TypeScript
- Homepage: https://www.npmjs.com/package/form-data-encoder
- Size: 550 KB
- Stars: 20
- Watchers: 2
- Forks: 12
- Open Issues: 2
-
Metadata Files:
- Readme: readme.md
- Changelog: CHANGELOG.md
- License: license
Awesome Lists containing this project
- awesome - octet-stream/form-data-encoder - Encode FormData content into the multipart/form-data format (TypeScript)
README
# form-data-encoder
Encode `FormData` content into the `multipart/form-data` format
[![Code Coverage](https://codecov.io/github/octet-stream/form-data-encoder/coverage.svg?branch=main)](https://codecov.io/github/octet-stream/form-data-encoder?branch=main)
[![CI](https://github.com/octet-stream/form-data-encoder/workflows/CI/badge.svg)](https://github.com/octet-stream/form-data-encoder/actions/workflows/ci.yml)
[![ESLint](https://github.com/octet-stream/form-data-encoder/workflows/ESLint/badge.svg)](https://github.com/octet-stream/form-data-encoder/actions/workflows/eslint.yml)
[![TypeScript Types](https://github.com/octet-stream/form-data-encoder/actions/workflows/typescript.yml/badge.svg)](https://github.com/octet-stream/form-data-encoder/actions/workflows/typescript.yml)## 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:
```sh
npm install form-data-encoder
```Or yarn:
```sh
yarn add form-data-encoder
```Or pnpm:
```sh
pnpm add form-data-encoder
```## Usage
1. To start the encoding process, you need to create a new Encoder instance with the FormData you want to encode:
```js
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",// Set request headers provided by the Encoder.
// The `headers` property has `Content-Type` and `Content-Length` headers.
headers: encoder.headers,// Create a Readable stream from the Encoder.
// You can omit usage of `Readable.from` for HTTP clients whose support async iterables in request body.
// The Encoder will yield FormData content portions encoded into the multipart/form-data format as node-fetch consumes the stream.
body: Readable.from(encoder.encode()) // or just Readable.from(encoder)
}const response = await fetch("https://httpbin.org/post", options)
console.log(await response.json())
```2. Encoder support different spec-compatible FormData implementations. Let's try it with [`formdata-polyfill`](https://github.com/jimmywarting/FormData):
```js
import {Readable} from "stream"import {FormDataEncoder} from "form-data-encoder"
import {FormData} from "formdata-polyfill/esm-min.js"
import {File} from "fetch-blob" // v3const 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)
```3. 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:
```js
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"))// Note 1: When using with native Blob or fetch-blob@2 you might also need to generate boundary string for your FormDataEncoder instance
// because Blob will lowercase value of the `type` option and default boundary generator produces a string with both lower and upper cased alphabetical characters. Math.random() should be enough to fix this:
// const encoder = new FormDataEncoder(form, String(Math.random()))
const encoder = new FormDataEncoder(form)const options = {
method: "post",// Note 2: To use this approach with fetch-blob@2 you probably gonna need to convert the encoder parts output to an array first:
// new Blob([...encoder], {type: encoder.contentType})
body: new Blob(encoder, {type: encoder.contentType})
}const response = await fetch("https://httpbin.org/post", options)
console.log(await response.json())
```4. Here's FormData to Blob conversion with async-iterator approach:
```js
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"// This approach may require much more RAM compared to the previous one, but it works too.
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)
```5. Another way to convert FormData parts to blob using `form-data-encoder` is making a Blob-ish class:
```js
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)
// Note that node-fetch@2 performs more strictness tests for Blob objects, so you may need to do extra steps before you set up request body (like, maybe you'll need to instaniate a Blob with BlobDataItem as one of its blobPart)
const blob = new BlobDataItem(encoder) // or new Blob([new BlobDataItem(encoder)], {type: encoder.contentType})const options = {
method: "post",
body: blob
}await fetch("https://httpbin.org/post", options)
```6. In this example we will pull FormData content into the ReadableStream:
```js
// This module is only necessary when you targeting Node.js or need web streams that implement Symbol.asyncIterator
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)
}// Note that this example requires `fetch` to support Symbol.asyncIterator, which node-fetch lacks of (but will support eventually)
await fetch("https://httpbin.org/post", options)
```7. Speaking of async iterables - if HTTP client supports them, you can use encoder like this:
```js
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)
```8. ...And for those client whose supporting form-data-encoder out of the box, the usage will be much, much more simpler:
```js
import {FormData} from "formdata-node" // Or any other spec-compatible implementationimport fetch from "node-fetch"
const form = new FormData()
form.set("field", "My hovercraft is full of eels")
const options = {
method: "post",
body: form
}// Note that node-fetch does NOT support form-data-encoder
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.
##### `headers -> {object}`
Returns headers object with Content-Type and Content-Length header.
#### Instance methods
##### `values() -> {Generator}`
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}`
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}`
An alias for `Encoder#values()` method.
##### `[Symbol.asyncIterator]() -> {AsyncGenerator}`
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