feathersui / feathersui-rpc-services

A port of the RPC service classes from Apache Flex (formerly Adobe Flex) to Feathers UI for Haxe and OpenFL

RPC Services for Feathers UI

A port of the RPC service classes from Apache Flex (formerly Adobe Flex) to Feathers UI for Haxe and OpenFL.

Contains the following service classes:

• HTTPService: Load data from a URL as XML, simple string text, URL variables, or JSON.
• RemoteObject: Share the same typed objects on server and client using binary AMF.

Contains the following low-level messaging classes:

• Producer: Send messages to a destination.
• Consumer: Subscribe to messages from a destination.

Compatibility Notes

RemoteObject

Instead of adding [RemoteClass(alias="com.example.MyClass")] metadata to a class, call the openfl.Lib.registerClassAlias() function to register each type when the application initializes.

Lib.registerClassAlias("com.example.MyClass", MyClass);

HTTPService

The resultFormat property includes two new formats:

• RESULT_FORMAT_JSON: Parses the server response as JSON, returning an anonymous structure. Supported on all targets.
• RESULT_FORMAT_HAXE_XML: Returns an instance of Haxe's Xml class. Supported on all targets.

The RESULT_FORMAT_E4X and RESULT_FORMAT_XML values will throw an exception on most targets. These formats are supported on the flash and air targets only. Using the new RESULT_FORMAT_HAXE_XML instead is recommended.

Unsupported Service Types

The following services have not yet been ported to Haxe and Feathers UI.

• WebService: Provides access to SOAP-based web services on remote servers.
• HTTPMultiService: Represents a collection of HTTP operations.

If you need either of these service types, please create a feature request.

Minimum Requirements

• Haxe 4.1
• OpenFL 9.2
• Feathers UI 1.0

Installation

Run the following command in a terminal to install feathersui-rpc-services from Haxelib.

haxelib install feathersui-rpc-services

Project Configuration

After installing the library above, add it to your OpenFL project.xml file:

<haxelib name="feathersui-rpc-services" />

Documentation

• feathersui-rpc-services API Reference