Armarius

About

Armarius is a JavaScript library to read, write, and merge ZIP archives in web browsers.

This library mainly focuses on a low memory footprint, especially when reading archives with tens of thousands of entries, and the ability to merge archives without decompressing and recompressing all entries.

For deflate/inflate support, this library uses the Compression Streams API (if available) or fflate. In Node.js environments, the built-in zlib module is used.

Installation

Armarius can be installed using npm:

npm install armarius

It can then be loaded as an ES Module:

import * as armarius from 'armarius';

IO operations and compression are not part of the library itself, and are packaged separately as armarius-io:

import * as io from 'armarius-io';

For use in web browsers, this library can be bundled using esbuild. Other bundlers like webpack should work as well, but are not officially supported.

Usage

Reading a ZIP archive

To read an archive, an IO context is required. The armarius-io library provides IO implementations for Blob, ArrayBuffer, and Node.js FileHandle objects. Other IO contexts can be implemented by extending the IO class.

let fileInput = document.getElementById('file-input');
let reader = new io.BlobIO(fileInput.files[0]);

A ReadArchive can then be created from an IO context.

let archive = new armarius.ReadArchive(reader, options);
await archive.init();

The ReadArchive constructor optionally accepts an ReadArchiveOptions object with the following properties:

| Name | Type | Description | |------------------------------|---------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | centralDirectoryBufferSize | number | Buffer size used when reading central directory contents.Larger buffer sizes may improve performance, but also increase RAM usage. | | createEntryIndex | boolean | Whether an index of all central directory entries should be created the first time they are read.Massively increases performance when using findEntry multiple times. | | entryOptions | EntryOptions | Options passed to each created Entry object. |

EntryOptions can have the following properties:

| Name | Type | Description | |-------------------|-----------------------------------|---------------------------------------------------------------------------------------------------| | dataProcessors | Map<number, typeof DataProcessor> | Map of compressionMethod => DataProcessorCan be used to implement custom compression methods |

Reading all archive entries

let entries = await archive.getAllEntries();

Since this method will load all entries (not including their compressed data) into memory, it is not recommended when working with large archives.

Iterating over archive entries

let iterator = await archive.getEntryIterator();

let entry;
while (entry = await iterator.next()) {
    console.log(await entry.getFileNameString());
}

Finding specific entries

let entry = await archive.findEntry('some/file.txt');
console.log(await entry.getFileNameString());

In most cases, this method is faster than iterating through all archive entries multiple times, since an internal index is used to find files quickly.

Reading entry data

Reading a full entry

let entry = await archive.findEntry('example.txt');
let data = await entry.getData();

// Decode UTF-8
let decoder = new TextDecoder();
let text = decoder.decode(data);

console.log(text);

Reading entry data in chunks

let entry = await archive.findEntry('example.txt');
let entryReader = await entry.getDataReader();

let chunk;
while (chunk = await reader.read(1024 * 64)) {
    console.log(chunk);
}

Note that the length parameter passed to EntryDataReader.read is the length of the compressed data read from the file. Since this data is decompressed, the size of the returned chunk might differ.

Also note that an empty chunk returned from EntryDataReader.read does not necessarily indicate that all data has been read. After all data was read, null will be returned instead.

Writing archives

New archives can be created using a WriteArchive object. The WriteArchive constructor needs to be passed a function, Iterator, or AsyncIterator that generates new EntrySource objects when needed.

Additionally, a WriteArchiveOptions object can be passed:

| Name | Type | Description | |----------------|---------|-------------------------------------------------------------------------------------------------| | forceZIP64 | boolean | Whether ZIP64 structures should always be created, even if not required by the archive content. |

async function *generateNextEntrySource() {
    yield new armarius.DataStreamEntrySource(new io.ArrayBufferIO(new ArrayBuffer(0)), {fileName: 'file.txt'});
    yield new armarius.DataStreamEntrySource(new io.ArrayBufferIO(new ArrayBuffer(0)), {fileName: 'file2.txt'});
    return null;
}

let writeArchive = new armarius.WriteArchive(generateNextEntrySource(), options);

Generating entries

If nextEntryFunction is an Iterator or AsyncIterator, the WriteArchive will iterate over it to generate new entries.

If it is a function, it will be called whenever a new entry needs to be written to the archive and should return a new Instance of EntrySource, or null if no more entries should be added to the archive.

This simple example will generate an archive that contains 10 text files:

let encoder = new TextEncoder();

function *generateEntrySources() {
    for (let i = 0; i < 10; i++) {
        let fileName = `file-${i}`;
        let fileContent = encoder.encode(`Content of file ${i}`);

        let reader = new io.ArrayBufferIO(fileContent.buffer, fileContent.byteOffset, fileContent.byteLength);
        let entry = new armarius.DataStreamEntrySource(reader, {fileName: fileName});
        yield entry;
    }
}

let writeArchive = new armarius.WriteArchive(generateEntrySources());

Any EntrySource accepts an EntrySourceOptions object with the following properties:

| Name | Type | Description | |--------------------------|-----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | fileComment | string | Entry file comment | | fileName | string | Entry file name | | forceUTF8FileName | boolean | Always encode the filename and file comment in UTF-8, even if it could be encoded in CP437 | | compressionMethod | number | Compression method that should be used for this entry. By default, this library only supports 0 (Store) and 8 (Deflate). More compression methods can be added using the dataProcessors option.When using an ArchiveEntryEntrySource, this option will be ignored and the compression method of the original entry is used. | | forceZIP64 | boolean | Whether ZIP64 structures should always be created, even if not required by the content. | | minMadeByVersion | number | The minimum madeByVersion value to be used for this entry. If a higher version is required (e.g. because of ZIP64) is used, it will be set automatically and this option will be ignored. | | minExtractionVersion | number | The minimum extractionVersion value to be used for this entry. If a higher version is required (e.g. because of ZIP64) is used, it will be set automatically and this option will be ignored. | | modTime | Date | Last modified time of the entry | | acTime | Date | Last access time of the entry. This option is ignored if extendedTimeStampField is false. | | crTime | Date | File creation time of the entry. This option is ignored if extendedTimeStampField is false. | | unicodeFileNameField | boolean | Whether a Unicode Path Extra Field should be added | | unicodeCommentField | boolean | Whether a Unicode Comment Extra Field should be added | | extendedTimeStampField | boolean | Whether an Extended Timestamp Extra Field should be added | | internalFileAttributes | number | See https://pkware.cachefly.net/webdocs/casestudies/APPNOTE.TXT | | externalFileAttributes | number | See https://pkware.cachefly.net/webdocs/casestudies/APPNOTE.TXT | | dataProcessors | Map<number, typeof DataProcessor> | Map of compressionMethod => DataProcessorCan be used to implement custom compression methods |

Reading output chunks

The generated archive can be read using the getNextChunk function.

let chunk;
while (chunk = await writeArchive.getNextChunk()) {
    console.log('New archive chunk:', chunk);
}

Merging ZIP archives

Armarius supports merging ZIP archives without decompressing and recompressing individual entries.

let archies = [myReadArchive1, myReadArchive2];

let merger = new armarius.ArchiveMerger(archives, options);
let outputWriteArchive = merger.getOutputArchive();

let chunk;
while (chunk = await outputWriteArchive.getNextChunk()) {
    console.log('New archive chunk:', chunk);
}

The ArchiveMerger constructor accepts a list of ReadArchive or MergeSource objects and a MergeOptions object with the following properties:

| Name | Type | Description | |-------------------------------|-----------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------| | entrySourceOptions | EntrySourceOptions | Options passed to each created EntrySource object | | writeArchiveOptions | WriteArchiveOptions | Options passed to the output WriteArchive | | nextPrependingEntryFunction | Function | Function generating EntrySource objects that are added to the output archive before the contents of the input archives |

MergeSource objects

A MergeSource object allows greater control over how a source archive is merged into the destination archive.

let mergeSource = new armarius.MergeSource(readArchive);
mergeSource
    .setBasePath('base/path/within/the/source/archive')
    .setDestinationPath('path/within/the/destination/archive')
    .setFilter((entry) => {
        if (entry.getFileNameString().endsWith('.rar')) {
            return false; //Filter entry
        } else {
            return true; //Allow entry
        }
    });

Node.js

While mainly intended for use in web browsers, this library can also be used in Node.js.

To read data from files, a NodeFileIO object can be used:

import * as fs from 'node:fs';

let file = await fs.promises.open('path/to/file.zip', 'r');
let stat = await file.stat();
let reader = new io.NodeFileIO(file, 0, stat.size);

Armarius will automatically recognize that it is running in a Node.js environment and use the appropriate compression implementation based on the Node.js built-in zlib module.

License

Armarius is open source software released under the MIT license, see license.

Contributing

You can contribute to this project by forking the repository, adding your changes to your fork, and creating a pull request.