These instructions have been modified for the Brewskey clone of the local cloud :)

An API compatible open source server for interacting with devices speaking the spark-protocol

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https://github.com/nodejs/node-gyp

git clone https://github.com/Brewsky/spark-server.git
cd spark-server/
npm install
./node_modules/.bin/babel src/ -d lib
node lib/main.js

The babel command pre-processes all the src/ to allow modern node syntax to be used in older versions of node. The modified code that is actually running lives in lib/ If you change anything in src/ you'll need to rerun babel for changes to take effect.

Windows Setup
You'll need to install Python 2.7 and OpenSSL 1.0.2 or older.
The newer version doesn't have the lib files needed to build the project.
Python Download
OpenSSL Download

Raspberry pi Quick Install

1. Run the server with:

node lib/main.js

2. Watch for your IP address, you'll see something like:

Your server IP address is: 192.168.1.10

3. We will now create a new server profile on Particle-CLI using the command:

particle config profile_name apiUrl "http://DOMAIN_OR_IP"

For the local cloud, the port number 8080 needs to be added behind: http://domain_or_ip:8080. It is important to also have the http:// otherwise it won't work.

This will create a new profile to point to your server and switching back to the spark cloud is simply particle config particle and other profiles would be particle config profile_name

4. We will now point over to the local cloud using

particle config profile_name

5. On a separate CMD from the one running the server, type

particle setup

This will create an account on the local cloud

Perform CTRL + C once you logon with Particle-CLI asking you to send Wifi-credentials etc...

6. Put your core into listening mode, and run

particle identify

to get your core id. You'll need this id later

7. The next steps will generate a bunch of keys for your device. I recommend mkdir ..\temp and cd ..\temp

8. Change server keys to local cloud key + IP Address

particle keys server ..\spark-server\data\default_key.pub.pem IP_ADDRESS

Note You can go back to using the particle cloud by downlading the public key here. You'll need to run particle config particle, particle keys server cloud_public.der, and particle keys doctor your_core_id while your device is in DFU mode.

9. Create and provision access on your local cloud with the keys doctor:

   particle keys doctor your_core_id

At this point you should be able to run normal cloud commands and flash binaries. You can add any webhooks you need, call functions, or get variable values.

The way the system stores data has changed.

On first run the server creates the following directories for storing data about your local cloud:

• data/
• The cloud keys default_key.pem and default_key.pub.pem go directly in here. Previously these keys lived in the main directory.
• data/deviceKeys/
• Device keys (.pub.pem) and information (.json) for each device live in here. Previously these were found in core_keys/
• data/users/
• User account data (.json) for each user live in here. Previously stored in users/
• data/knownApps/
• ???
• data/webhooks/
• ???

This is a refactored clone of the original spark-server because this is what the awesome guys at Particle.io said:

We're open sourcing our core Spark-protocol code to help you build awesome stuff with your Spark Core, and with your other projects. We're also open sourcing an example server with the same easy to use Rest API as the Spark Cloud, so your local apps can easily run against both the Spark Cloud, and your local cloud. We're really excited about this, and we have tried to build an open, stable, and powerful platform, and hand it over to you, the community.

This project is our way of making sure you can change and see into every aspect of your Spark Core, yay! We'll keep improving and adding features, and we hope you'll want to join in too!

This feature list is not correct wrt the Brewskey clone - there's much more!

The spark-server module aims to provide a HTTP rest interface that is API compatible with the main Spark Cloud. Ideally any programs you write to run against the Spark Cloud should also work on the Local Cloud. Some features aren't here yet, but may be coming down the road, right now the endpoints exposed are:

Claim Core

POST /v1/devices

Release Core

DELETE /v1/devices/:coreid

Provision Core and save Core's keys.

/v1/provisioning/:coreID

List devices

GET /v1/devices

Call function

POST /v1/devices/:coreid/:func

Get variable

GET /v1/devices/:coreid/:var

Get Core attributes

GET /v1/devices/:coreid

Set Core attributes (and flash a core)

PUT /v1/devices/:coreid

Get all Events

 GET /v1/events
 GET /v1/events/:event_name

Get all my Events

 GET /v1/devices/events
 GET /v1/devices/events/:event_name

Get all my Core's Events

 GET /v1/devices/:coreid/events
 GET /v1/devices/:coreid/events/:event_name

Publish an event

POST /v1/devices/events

• per-user / per-core ownership and access restrictions. Right now ANY user on your local cloud can access ANY device.

• remote compiling, however flashing a binary will still work

• the build IDE is not part of this release, but may be released separately later
• massive enterprise magic super horizontal scaling powers

We worked hard to make our cloud services scalable and awesome, but that also presents a burden for new users. This release was designed to be easy to use, to understand, and to maintain, and not to discourage anyone who is new to running a server. This means some of the fancy stuff isn't here yet, but don't despair, we'll keep improving this project, and we hope you'll use it to build awesome things.