An API compatible open source server for interacting with devices speaking the spark-protocol
__ __ __ __ __ ____ / /_/ /_ ___ / /___ _________ _/ / _____/ /___ __ ______/ / / / __/ __ \/ _ \ / / __ \/ ___/ __ `/ / / ___/ / __ \/ / / / __ / / / /_/ / / / __/ / / /_/ / /__/ /_/ / / / /__/ / /_/ / /_/ / /_/ /_/ \__/_/ /_/\___/ /_/\____/\___/\__,_/_/ \___/_/\____/\__,_/\__,_(_)
git clone https://github.com/spark/spark-server.git
cd spark-server/js
npm install
node main.js
1.) Run the server with:
node main.js
2.) Watch for your IP address, you'll see something like:
Your server IP address is: 192.168.1.10
3.) Load your server public key and IP address onto your cores with the Spark-CLI
First, put your Core in DFU mode by holding the MODE and RESET buttons on the Core, then releasing RESET while continuing to hold MODE for 3 seconds until the LED starts blinking yellow.
spark keys server default_key.pub.pem 192.168.1.10
Note! The CLI will turn your PEM file into a DER file, but you can also do that yourself with the command:
openssl rsa -in default_key.pem -pubin -pubout -outform DER -out default_key.der
4.) Edit your Spark-CLI config file to point at your Spark-server. Open ~/.spark/spark.config.json in your favorite text editor, and add:
{
"apiUrl": "http://192.168.1.10:8080"
}
For beginners: note that you have to add in a , at the end of the previous line
5.) Put your core into listening mode, and run spark identify to get your core id.
6.) Create a user and login with the Spark-CLI
spark setup
7.) Create and provision access on your local cloud with the keys doctor:
spark keys doctor your_core_id
7.) See your connected cores!
spark list
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!
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:
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
-
Release a Core DELETE /v1/devices/:coreid
-
Claim a core POST /v1/devices
-
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.