mongo-john
v1.0.1
Published
Simple and powerful Big Data and IoT, this API combines the power of MongoDB (with mongoose) and JhonnyFive
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Mongo-John
Simple and powerful Big Data and IoT, this API combines the power of MongoDB (with mongoose) and JhonnyFive
- Easy data persistence with mongoDB.
- All JhonnyFive components as mongoose Schema.
- JhonnyFive components from stored data.
Lastest Features!
- Basic Schema for each component
- Simple functions to take a snapshot of a component state
Requeriments
Just this libraries are required to work properly:
- [node.js] - Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine.
- [mongoose] - Elegant mongodb object modeling for node.js
An instance of MongoDBS running is required to connect mongoose library.
Installation
MRCJS requires Node.js to run.
Install the dependencies and devDependencies and start the server.
$ npm install mongo-john --save
mongoose install required
$ npm install mongoose --save
Import johnny-five and mongo-john
var five = require("johnny-five"),
mj = require('mongo-john');
And start storing data (the following calls) mj.component(instance) uses the JhonnyFive component instance and parse all data to a model and save it to de mongoDBS
var barometer = new five.Barometer({
controller: "BMP180"
});
barometer.on("data", function() {
mj.barometer(this);
});
var joystick = new five.Joystick({
// [ x, y ]
pins: ["A1", "A2"]
});
joystick.on("data", function() {
mj.joystick(this);
});
Development
Do you Want to contribute?
Follow the project and create a pull request, all help is welcome.
Todos
- Methods to extract and use some data as component or component parts (e.g Segment for animations )
- Data access controll for each component
Conclusion
- Use it to IoT, Machine Learning or Big Data, forget wasting time onto models.
License
MIT Free Software, All by everyone, all to everyone