vnerv

1.0.0 • Public • Published

vnerv

Build Status

Tiny library for event broadcasting

I started this library as a fork of nice micro framework called Nerve - https://github.com/jstandish/nerve. I decided to create a separate repository because of a fundamental change - drop support for changing scope of the subscription function. Another difference is that vnerv is ES5 compliant and it has Gulp based build system.

Nevertheless basic idea is the same - sending events along channels and routes.

Installation

bower install vnerv

or

npm install vnerv

Documentation

Attach listeners

To attach listener use on function and specify channel with callback:

  vnerv.on("channel", function(dto) {
     console.log("I am a callback function and I received: " + dto);
  });

The callback function will be executed when a message appear on that channel.

Optionally, you can also specify a route:

  vnerv.on("channel", 'route', function(dto) {
     console.log("I am a callback function and I received: " + dto);
  });

Remove listeners

To remove listeners use off function and specify channel from where they should be removed:

  vnerv.off("channel");

You can also remove listeners that are only present on given route of the channel

  vnerv.off("channel", "route");

Additionally you can remove all default listeners attached to the given channel

  vnerv.off("channel", {defaultRoute: true});

To do so, pass configuration object with defaultRoute flag set to true as the second argument

Sending an event

You have two basic options:

Send an event to a channel

It will call every callback from all routes on that channel

  vnerv.send("channel");
Send an event to a route on a specific channel

It will call every callback on a specific channel/route combination

  vnerv.send("channel", "route");

As a addition in both cases you can attach DTO object which is passed to a callback function, eg.

  vnerv.send("channel", "route", {message:'hi'} );

Versions

1.0 - Initial version

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Install

npm i vnerv

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0

Version

1.0.0

License

MIT

Last publish

Collaborators

  • czytelny