aiml-high



> AIML Interpreter written in node.js. Built on aimlinterpreter.
>
>aiml-high is a module that allows you to parse AIML files and to find the correct answer to a given message.

Installation

npm install aiml-high

Dependencies

``
fs
xmldom
`

Description

With new aimlHigh(botAttributes) one can create a new interpreter object. botAttributes is an JSON-Object that can contain attributes of the bot one wants to use in AIML files, e.g. {name: "Bot", age:"42"}. While continued messaging will store the previous answer for use with , you can pass a previous answer like so: new aimlHigh({}, 'last answer').

This object has a function called loadFiles(fileArray) which receives an array of AIML files. This function loads the AIML file into memory. There is also a loadFromString(stringContent) that can also be passed if AIML file has been saved into a string.

Furthermore, the object has a function called findAnswer(clientInput, cb) which receives a message and a callback. The callback is called when an answer was found. The callback of findAnswer should look like this: callback(result, wildCardArray, input). Result is the answer from the AIML file and wildCardArray stores the values of all wildcardInputs passed previously from the client. The original input which triggered the answer is given back via input.


##### Example

`
aimlHigh = require('./aiml-high');
var interpreter = new aimlHigh({name:'Bot', age:'42'}, 'Goodbye');
interpreter.loadFiles(['./test.aiml.xml']);

var callback = function(answer, wildCardArray, input){
console.log(answer + ' | ' + wildCardArray + ' | ' + input);
};

interpreter.findAnswer('What is your name?', callback);
interpreter.findAnswer('My name is Ben.', callback);
interpreter.findAnswer('What is my name?', callback);
`


##### Supported AIML v1.1 tags:

`


TEXT

A

B

C

PATTERN TEXT


TEXT
TEXT
TEXT
PROPER NOUN
THIS IS A SENTENCE
TEXT

TEXT

TEXT

TEXT

TEXT

TEXT

TEXT

TEXT

A

B

C

TEXT

B

PATTERN TEXT

B

PATTERN TEXT

PATTERN TEXT

TEXT

PATTERN TEXT

TEXT

``

Copyright & License

Based on previous work by b3nra.

Copyright 2016 Greg Leuch & betaworks.
Released under MIT License.