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google-cloud-bucket

Nodejs package to add objects to a Google Cloud Bucket.

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Google Cloud Bucket · NPM Tests License Neap

Google Cloud Bucket is node.js package to add objects to a Google Cloud Bucket.

Table of Contents

Install

npm i google-cloud-bucket --save

How To Use It

Prerequisite

Before using this package, you must first:

  1. Have a Google Cloud Account.

  2. Have a Service Account set up with the following 2 roles:

    • roles/storage.objectCreator
    • roles/storage.objectAdmin (only if you want to update access to object or create/delete buckets)
    • roles/storage.admin (only if you want to update access to an entire bucket)
  3. Get the JSON keys file for that Service Account above

  4. Save that JSON key into a service-account.json file. Make sure it is located under a path that is accessible to your app (the root folder usually).

Show Me The Code

Basics

const { join } = require('path')
const { client } = require('google-cloud-bucket')

const storage = client.new({ 
	jsonKeyFile: join(__dirname, './service-account.json') 
})

// LISTING ALL THE BUCKETS IN THAT PROJECT 
storage.list().then(console.log)

const someObject = {
	firstname: 'Nicolas',
	lastname: 'Dao',
	company: 'Neap Pty Ltd',
	city: 'Sydney'
}

// CREATING A BUCKET (This method will fail if your bucket name is not globally unique. You also need to the role 'roles/storage.objectAdmin')
storage.bucket('your-globally-unique-bucket-name').create()
	.then(data => console.log(data))

// CREATING A BUCKET IN SPECIFIC LOCATION (default is US. A detailed list of all the locations can be found in the Annexes of this document)
storage.bucket('your-globally-unique-bucket-name').create({ location: 'australia-southeast1' })
	.then(data => console.log(data))

// DELETING A BUCKET
storage.bucket('your-globally-unique-bucket-name').delete()
	.then(data => console.log(data))

// GET A BUCKET'S SETUP DATA 
storage.bucket('your-globally-unique-bucket-name').get()
	.then(data => console.log(data))

// ADDING AN OBJECT
storage.insert(someObject, 'your-bucket/a-path/filename.json') // insert an object into a bucket 'a-path/filename.json' does not need to exist
	.then(() => storage.get('your-bucket/a-path/filename.json')) // retrieve that new object
	.then(res => console.log(JSON.stringify(res, null, ' ')))

// ADDING A HTML PAGE WITH PUBLIC ACCESS (warning: Your service account must have the 'roles/storage.objectAdmin' role)
const html = `
<!doctype html>
<html>
	<body>
		<h1>Hello Giiiiirls</h1>
	</body>
</html>`

storage.insert(html, 'your-bucket/a-path/index.html') 

// UPLOADING AN IMAGE (we assume we have access to an image as a buffer variable called 'imgBuffer')
storage.insert(imgBuffer, 'your-bucket/a-path/image.jpg') 

// GETTING BACK THE OBJECT
storage.get('your-bucket/a-path/filename.json').then(obj => console.log(obj))

// GETTING THE HTML BACK
storage.get('your-bucket/a-path/index.html').then(htmlString => console.log(htmlString))

// GETTING BACK THE IMAGE
// USE CASE 1 - Loading the entire buffer in memory
storage.get('your-bucket/a-path/image.jpg').then(imgBuffer => console.log(imgBuffer))

// USE CASE 2 - Loading the image on your filesystem
storage.get('your-bucket/a-path/image.jpg', { dst: 'some-path/image.jpg' })
	.then(() => console.log(`Image successfully downloaded.`))

// USE CASE 3 - Piping the image buffer into a custom stream reader
const { Writable } = require('stream')
const customReader = new Writable({
	write(chunk, encoding, callback) {
		console.log('Hello chunk of image')
		callback()
	}
})
storage.get('your-bucket/a-path/image.jpg', { streamReader: customReader })
	.then(() => console.log(`Image successfully downloaded.`))

// TESTING IF A FILE OR A BUCKET EXISTS
storage.exists('your-bucket/a-path/image.jpg')
	.then(fileExists => fileExists ? console.log('File exists.') : console.log('File does not exist.'))

// LISTING ALL THE FILES METADATA WITH A FILEPATH THAT STARTS WITH SPECIFIC NAME
storage.list('your-bucket/a-path/')
	.then(files => console.log(files))

Bucket API

The examples above demonstrate how to insert and query any storage. We've also included a variant of those APIs that are more focused on the bucket:

// THIS API:
storage.insert(someObject, 'your-bucket/a-path/filename.json')
// CAN BE REWRITTEN AS FOLLOW:
storage.bucket('your-bucket').object('a-path/filename.json').insert(someObject)

// THIS API:
storage.get('your-bucket/a-path/filename.json').then(obj => console.log(obj))
// CAN BE REWRITTEN AS FOLLOW:
storage.bucket('your-bucket').object('a-path/filename.json').get().then(obj => console.log(obj))

// THIS API:
storage.exists('your-bucket/a-path/image.jpg')
	.then(fileExists => fileExists ? console.log('File exists.') : console.log('File does not exist.'))
// CAN BE REWRITTEN AS FOLLOW:
storage.bucket('your-bucket').object('a-path/image.jpg').exists()
	.then(fileExists => fileExists ? console.log('File exists.') : console.log('File does not exist.'))

// THIS API:
storage.list('your-bucket/a-path/')
	.then(files => console.log(files))
// CAN BE REWRITTEN AS FOLLOW:
storage.bucket('your-bucket').object('a-path/').list()
	.then(files => console.log(files))

Configuring Your Bucket Or Your File

Publicly Readable Config

This allows to make any files publicly readable by anybody on the web. That's usefull if you want to host a website, or publish data (e.g., RSS feed).

Once your bucket is publicly readable, everyone can access it at this url: https://storage.googleapis.com/your-bucket/some-path/index.html

WARNING: If that bucket hosts files that hsould be accessible cross domain (e.g., an RSS feed), don't forget to also set up CORS (next section Configuring CORS On a Bucket).

const bucket = storage.bucket('your-bucket')

// TEST WHETHER A BUCKET IS PUBLIC OR NOT
bucket.isPublic().then(isPublic => isPublic ? console.log(`Bucket '${bucket.name}' is public`) : console.log(`Bucket '${bucket.name}' is not public`))

// MAKING A BUCKET PUBLICLY READABLE (warning: Your service account must have the 'roles/storage.admin' role)
// Once a bucket is public, all content added to it (even when omitting the 'public' flag) is public
bucket.addPublicAccess()
	.then(({ publicUri }) => console.log(`Your web page is publicly available at: ${publicUri}`)) 

// REMOVING THE PUBLICLY READABLE ACCESS FROM A BUCKET (warning: Your service account must have the 'roles/storage.admin' role)
bucket.removePublicAccess()

// MAKING AN EXISTING OBJECT PUBLICLY READABLE (warning: Your service account must have the 'roles/storage.objectAdmin' role)
bucket.object('a-path/private.html').addPublicAccess()
	.then(({ publicUri }) => console.log(`Your web page is publicly available at: ${publicUri}`)) 

// REMOVING THE PUBLICLY READABLE ACCESS FROM A FILE  (warning: Your service account must have the 'roles/storage.objectAdmin' role)
bucket.object('a-path/private.html').removePublicAccess()
Making A Single File Publicly Readable At Creation Time

It is also possible to make a single file publicly readable in a single command when the file is created:

storage.insert(html, 'your-bucket/a-path/index.html', { public: true }) 
	.then(({ publicUri }) => console.log(`Your web page is publicly available at: ${publicUri}`)) 

Once your file is publicly readable, everyone can access it at this url: https://storage.googleapis.com/your-bucket/a-path/index.html

WARNING: If that bucket hosts files that hsould be accessible cross domain (e.g., an RSS feed), don't forget to also set up CORS (next section Configuring CORS On a Bucket).

Setting Single File Content Encoding At Creation Time

It is also possible to set a file's content encoding in a single command when the file is created:

storage.insert(html, 'your-bucket/a-path/index.html', { contentEncoding: 'gzip' })
	.then(({ publicUri }) => console.log(`Your gzipped file is available at: ${publicUri}`))
Configuring CORS On a Bucket

If your files are publicly readable on the web, they might not be accessible when referenced from other websites. To enable other websites to access your files, you will have to configure CORS on your bucket:

// CONFIGURE CORS ON A BUCKET (warning: Your service account must have the 'roles/storage.admin' role)
bucket.cors.setup({
	origin: ['*'],
	method: ['GET', 'OPTIONS', 'HEAD', 'POST'],
	responseHeader: ['Authorization', 'Origin', 'X-Requested-With', 'Content-Type', 'Accept'],
	maxAgeSeconds: 3600
})
.then(() => console.log(`CORS successfully set up on your bucket.`))

If you want to check if CORS has already been set up on a bucket:

bucket.cors.exists().then(yes => yes 
	? console.log(`CORS already set up on bucket '${bucket.name}'.`)
	: console.log(`CORS not set up yet on bucket '${bucket.name}'.`))

You can also check if a specific CORS config exists:

bucket.cors.exists({
	origin: ['*'],
	method: ['GET', 'OPTIONS', 'HEAD', 'POST'],
	responseHeader: ['Authorization', 'Origin', 'X-Requested-With', 'Content-Type', 'Accept'],
	maxAgeSeconds: 3600
}).then(yes => yes 
	? console.log(`CORS already set up on bucket '${bucket.name}'.`)
	: console.log(`CORS not set up yet on bucket '${bucket.name}'.`))

To remove CORS from a bucket:

bucket.cors.disable().then(() => console.log(`CORS successfully disabled on bucket '${bucket.name}'.`))
Configuring A Bucket As A Static Website

To achieve this you need to setup 5 things:

  1. You need to setup the service account that you've been using to manage your bucket (defined in your service-account.json) as a domain owner. To achieve that, the first step is to prove your ownership using https://search.google.com/search-console/welcome. When that's done, open the settings and select User and permissions. There, you'll be able to add a new owner, which will allow you to add the email of your service account.

  2. Create a bucket with a name matching your domain (e.g., www.your-domain-name.com)

  3. Make that bucket public. Refer to section Publicly Readable Config above.

  4. Add a new CNAME record in your DNS similar to this:

    TypeNameValue
    CNAMEwwwc.storage.googleapis.com
  5. Configure the bucket so that each index.html and the 404.html page are the default pages (otherwise, you'll have to explicitly enter http://www.your-domain-name.com/index.html to reach your website instead of simply entering http://www.your-domain-name.com):

bucket.website.setup({
	mainPageSuffix: 'index.html',
	notFoundPage: '404.html'
}).then(console.log)

Zipping Files

const bucket = storage.bucket('your-bucket-name')

bucket.object('some-folder-path').zip({ 
	to: {
		local: 'some-path-on-your-local-machine',
		bucket: {
			name: 'another-existing-bucket-name', 	// Optional (default: Source bucket. In our example, that source bucket is 'your-bucket-name')
			path: 'some-folder-path.zip' 			// Optional (default: 'archive.zip'). If specified, must have the '.zip' extension.
		}
	}, 
	ignore:[/\.png$/, /\.jpg$/, /\.html$/] // Optional. Array of strings or regex
})
.then(({ count, data }) => {
	console.log(`${count} files have been zipped`)
	if (data) 
		// 'data' is null if the 'options.to' is defined
		console.log(`The zip file's size is: ${data.length/1024} KB`)
})

Extra Options

You can also track the various steps of the zipping process with the optional on object:

const bucket = storage.bucket('your-bucket-name')

bucket.object('some-folder-path').zip({ 
	to: {
		local: 'some-path-on-your-local-machine',
		bucket: {
			name: 'another-existing-bucket-name', 	// Optional (default: Source bucket. In our example, that source bucket is 'your-bucket-name')
			path: 'some-folder-path.zip' 			// Optional (default: 'archive.zip'). If specified, must have the '.zip' extension.
		}
	}, 
	on:{
		'files-listed': (files) => {
			console.log(`Total number of files to be zipped: ${files.count}`)
			console.log(`Raw size: ${(files.size/1024/1024).toFixed(1)} MB`)
			// 'files.data' is an array of all the files' details
		},
		'file-received': ({ file, size }) => {
			console.log(`File ${file} (byte size: ${size}) is being zipped`)
		},
		'finished': ({ size }) => {
			console.log(`Zip process completed. The zip file's size is ${size} bytes`)
		},
		'saved': () => {
			console.log('The zipped file has been saved')
		},
		'error': err => {
			console.log(`${err.message}\n${err.stack}`)
		}
	}
})
.then(({ count, data }) => {
	console.log(`${count} files have been zipped`)
	if (data) 
		// 'data' is null if the 'options.to' is defined
		console.log(`The zip file's size is: ${data.length/1024} KB`)
})

3 Ways To Create a Client

1. Using A service-account.json

We assume that you have created a Service Account in your Google Cloud Account (using IAM) and that you've downloaded a service-account.json (the name of the file does not matter as long as it is a valid json file). The first way to create a client is to provide the path to that service-account.json as shown in the following example:

const storage = client.new({ 
	jsonKeyFile: join(__dirname, './service-account.json') 
})
2. Using a ClientEmail PrivateKey & ProjectId

This method is similar to the previous one. You should have dowloaded a service-account.json, but instead of providing its path, you provide some of its details explicitly:

const storage = client.new({ 
	clientEmail: 'some-client-email', 
	privateKey: 'some-secret-private-key',
	projectId: 'your-project-id'
})
3. Using a ProjectId

If you're managing an Google Cloud OAuth2 token yourself (most likely using the google-auto-auth library), you are not required to explicitly pass account details like what was done in the previous 2 approaches. You can simply specify the projectId:

const storage = client.new({ projectId: 'your-project-id' })

Refer to the next section to see how to pass an OAuth2 token.

Using An External OAuth2 Token

If you've used the 3rd method to create a client (i.e. 3. Using a ProjectId), then all the method you use require an explicit OAuth2 token:

storage.list({ token }).then(console.log)

All method accept a last optional argument object.

Extra Precautions To Make Robust Queries

Avoiding Network Errors

Networks errors (e.g. socket hang up, connect ECONNREFUSED) are a fact of life. To deal with those undeterministic errors, this library uses a simple exponential back off retry strategy, which will reprocess your read or write request for 10 seconds by default. You can increase that retry period as follow:

// Retry timeout for CHECKING FILE EXISTS
storage.exists('your-bucket/a-path/image.jpg', { timeout: 30000 }) // 30 seconds retry period timeout

// Retry timeout for INSERTS
storage.insert(someObject, 'your-bucket/a-path/filename.json', { timeout: 30000 }) // 30 seconds retry period timeout

// Retry timeout for QUERIES
storage.get('your-bucket/a-path/filename.json', { timeout: 30000 }) // 30 seconds retry period timeout

Annex

List Of All Google Cloud Platform Locations

Single Regions

Single reagions are bucket locations that indicate that your data are replicated in multiple servers in that single region. Though it is unlikely that you would loose your data because all servers fail, it is however possible that a network failure brings that region inaccessbile. At this stage, your data would not be lost, but they would be unavailable for the period of that network outage. This type of storage is the cheapest.

Use this type of location if your data:

  • Are not highly critical.
  • Do not have to be quickly delivered wherever your clients are located (choosing us-west2 means that the data access will be fast for clients in Los Angeles, but slower for clients in Belgium).
  • Are so big (multiple terabytes) that the storage cost is a primary concern.

If the above limits are too strict for your use case, then you should probably use a Multi Regions.

LocationDescription
northamerica-northeast1Canada - Montréal
us-central1US - Iowa
us-east1US - South Carolina
us-east4US - Northern Virginia
us-west1US - Oregon
us-west2US - Los Angeles
southamerica-east1South America - Brazil
europe-north1Europe - Finland
europe-west1Europe - Belgium
europe-west2Europe - England
europe-west3Europe - Germany
europe-west4Europe - Netherlands
asia-east1Asia - Taiwan
asia-east2Asia - Hong Kong
asia-northeast1Asia - Japan
asia-south1Asia - Mumbai
asia-southeast1Asia - Singapore
australia-southeast1Asia - Australia
asiaAsia
usUS
euEurope

Multi Regions

Multi regions are bucket locations where your data are not only replicated in multiple servers in the same regions, but also replicated across multiple locations (e.g., asia will replicate your data across Taiwan, Hong Kong, Japan, Mumbai, Singapore, Australia). That means that your data are:

  • Quickly accessible wherever your clients are in that continent.
  • Highly available. Even if a region goes down, the others will carry on serving your data.
  • A bit more expensive.
LocationDescription
asiaAsia
usUS
euEurope

This Is What We re Up To

We are Neap, an Australian Technology consultancy powering the startup ecosystem in Sydney. We simply love building Tech and also meeting new people, so don't hesitate to connect with us at https://neap.co.

Our other open-sourced projects:

GraphQL
  • graphql-s2s: Add GraphQL Schema support for type inheritance, generic typing, metadata decoration. Transpile the enriched GraphQL string schema into the standard string schema understood by graphql.js and the Apollo server client.
  • schemaglue: Naturally breaks down your monolithic graphql schema into bits and pieces and then glue them back together.
  • graphql-authorize: Authorization middleware for graphql-serverless. Add inline authorization straight into your GraphQl schema to restrict access to certain fields based on your user's rights.
React & React Native
Authentication & Authorization
  • userin: UserIn let's App engineers to implement custom login/register feature using Identity Providers (IdPs) such as Facebook, Google, Github.
General Purposes
  • core-async: JS implementation of the Clojure core.async library aimed at implementing CSP (Concurrent Sequential Process) programming style. Designed to be used with the npm package 'co'.
  • jwt-pwd: Tiny encryption helper to manage JWT tokens and encrypt and validate passwords using methods such as md5, sha1, sha256, sha512, ripemd160.
Google Cloud Platform
  • google-cloud-bucket: Nodejs package to manage Google Cloud Buckets and perform CRUD operations against them.
  • google-cloud-bigquery: Nodejs package to manage Google Cloud BigQuery datasets, and tables and perform CRUD operations against them.
  • google-cloud-tasks: Nodejs package to push tasks to Google Cloud Tasks. Include pushing batches.

License

Copyright (c) 2018, Neap Pty Ltd. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  • Neither the name of Neap Pty Ltd nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NEAP PTY LTD BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Package last updated on 31 Mar 2019

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