Hive-mvc NPM | npm.io

hive-mvc

The next evolution of nuby-express; an advanced, RAD environment for Express sites.

Nuby Express has proven successful at managing large projects; however it did not load (not respond, load) fast enough for Nodejitsu and it had issues with require pathing.

HiveMVC is going to address some of the failings of NE and provide additional functionality:

The ability to attach itself to an existing Express.js project
The ability to launch and add actions to a running project
Better ability to respond at any point in the loading process
The ability to mock data sets and cache results for "de facto" unit tests
Abstracting responses from HTTP to model expert / non-http systems
The ability to "hot swap" patches to a working system.
A complete data backup and import system to enable transport of data between local and remote systems.
A simpler hierarchy of containers above the Action level
A reconsideration of static serving to bind static directories to specific components, allowing for functional filtering of static data
A callback-centric pipeline inside actions.

This on top of the existing feature set of Nuby Express

Highly configurable convention based routing and configuration of actions
A very action-centric system of web application design
Support for local static file hosting at each action
Strong system of layouts with local hosting of layout static files
Designed for a large and growing single page(s) application
A strong family of helper libraries for your custom application

Basic Architectural Concepts

Hive-mvc is built using the follwoing foundational modules:

1) hive-configuration - a system for laoding configuration from JSON files or modules. 2) Hive-component - a "widget factory" framework for building up a widget based on configuration and mixins. Designed to allow for multiple inputs for both. 3) Hive-model - Although you'll want a "real"repo for your application data, hive-model is used for internal state keeping inside hive-mvc. ** All internal hive-mvc model names begin with a "$" so you shouldn't see namespace collision. 4) Hive-loader - to bootstrap the application from the file system Hive-loader scans the frames in your application into your running application ('apiary').

Hive is "action centric" - all power is given to the action; you could even hypothetically run an entire site off a single action.

The full genus is

APIARY : FRAME : HIVE : ACTION

Actions

Actions are designed to respond to one OR MORE url endpoints; and so, a single action can respond to an entire REST system. They can serve their own static files as well.

Action configurations must have one or more entries in the routes object as in

Actions' code is made up of a series of handlers, defined in a action_name_actions.js code file:

ON_VALIDATE, ON_INPUT, ON_PROCESS, ON_OUTPUT

There are "hooks" for managing specific stages of a response; you don't have to hand code overrides for each of these methods -- for instance, if you have no need for security on a response, you can skip the on_validate hook.

each of these methods have the following signatures:

callback();

}

These callbacks are managed by async.waterfall and shouldn't be called directly.

Also, you can define your own action pipeline by overriding the pipe property of the action (see action/respond.js).

Context

The context object has a lot of local properties:

$apiary
$req and $res, express objects

and one public property

out, a hive-collection

but by design, other than out, the context should be easily mockable and these properties ignored unless needed.

Hives

Hives are groups of actions -- as in "a hive of activity". They can have specific resources to augment their functionality.

Frames

Frames are groups of hives. A frame should be as self-sufficient as possible in delivering functionality - you should be able to pull a frame off a git repo and run it as is.

Apiary

An apiary is the "world" of a hive-mvc app. It contains the server and app from express, all the resources, actions, and hives, and a dataspace for all the models. The apiary is injected into all the loaders and handlers of the bootstrapping process as well as the configurations of the actions, hives and frames. It is exposed to the resource factories as well.

The apiary is intended to serve as a global space for the web application where needed. It is what allows you to load a resource or model from one part of your web application and have it available wherever you need it.

Resources

Resources are a vague concept, by design. They have the same application space as a node module, but unlike node modules they are registered by name in a global object space (apiary.Resource.list model) and are typed.

Depending on the resources type, they are injected as different points in the lifecycle of the application.

mixins are executed once, at startup. They must have a resopnd(cb) method.
view_helpers are executed between the end of an action and the view rendering of the template.
models are instantiated and added to the apiary dataspace. note that there is no requirement for a model resource to be an instance of hive-model - the only requirement of a model is that it have a unique name property.
generic resources are called and executed manually, where needed.

resource files are required and registered in the Resource.list model as is, so any node file that exports a function with the following signature

Hive and Express

Where nuby-express internalized the express app, in hive, the assumption is you already have an express application, and you are looking to scale and better organize it. So hive wraps itself around an existing application, using the app and server as resources of the apiary. The apiary is the top level singleton of your site.*

Here is a typical bootstrap file with express and hive-mvc working in concert:

var express = require('express') , routes = require('./routes') , user = require('./routes/user') , http = require('http') , mvc = require('./../../index') , util = require('util') , path = require('path');

module.exports = function (port, cb) {

var app, server;
app = express();

app.configure(function () {
	app.set('port', port || 3000);
	app.set('views', __dirname + '/views');
	app.engine('html', require('ejs').renderFile);
	app.use(express.favicon());
	app.use(express.logger('dev'));
	app.use(express.bodyParser());
	app.use(express.methodOverride());
	app.use(express.cookieParser('your secret here'));
	app.use(express.session());
	app.use(app.router);
	// app.use(require('less-middleware')({ src: __dirname + '/public' }));
	app.use(express.static(path.join(__dirname, 'public')));
});

app.configure('development', function () {
	app.use(express.errorHandler());
});

app.get('/', routes.index);
app.get('/users', user.list);

server = http.createServer(app);
server.on('close', function () {
	console.log('======== closing server');
	apiary.emit('close_server');
});

server.listen(app.get('port'), function () {
	var apiary = mvc.Apiary({},  path.join(__dirname, 'frames'));
	console.log('initializing apiary');
	apiary.init(function () {
		apiary.serve(app, server);
		if (cb) {
			cb(null, apiary);
		}
	});
});

return server;

}

Note that hive-mvc only kicks in AFTER the server has started to listen. Based on an unpleasant experience at a node knockout (aptly named in my part, as the Nodejitsu system couldn't support nuby-express) I have decided to begin bootstrapping hive-mvc AFTER the server has started to listen to a port.

The app and server are injected into the apiary in the serve portion of the bootstrapping.

Note that up to the point where you call server.listen, the configuration is 99% arbitrary - you can use whatever config you like for express.

The only part of the app.configure that is important to hive is the app.engine; right now hive has only been tested using html files interpreted by ejs. Also, note that hive-mvc internalizes views in each individual action, so while its fine to have/maintain your views folder for raw Express endpoints, you won't need it for hive.

While the architecture is designed to allow for multiple apiaries, its never been tested and I couldn't see the point. ** Hive-model does have quantum-read-write to a file system, and so is good for mocks, but its not built to be production performant for real world repos.