Text Adventure and Simple CHatbot Engine

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Description

TASCHE is a tool for specifying text-based applications that seeks flexibility in the input recognition and response generation. For a detailed guide see the wiki .

Basic example

Given the specification file example0.json from below, this are two possible conversations.

Conversation A	Conversation B
Hello! >hi Hello there! >My name is Miguel nice to meet you, Miguel! >My name is TASCHE No way! That's my name too!	Hello! >My name is TASCHE That's my name too! >My name is Roberto I am confused, you said your name was TASCHE! nice to meet you, Roberto! >My name is Jose But you said your name was Roberto! Mine is TASCHE, nice to meet you, Jose!

example0.json

{
"init":"Hello!\n",
"responses":[
    {
        "input":"(hello|hi)",
        "condition":"1",
        "output":"Hello[ there][!]"
    },{
        "input":"my name is >name",
        "condition":"1",
        "question":"$name",
        "responses":[
            {
                "input":"TASCHE",
                "condition":"1",
                "output":"[No way! ]''That's my name too!''{@known_name = @name}"
            },{
                "input":"$known_name",
                "condition":"1",
                "output":"I know! Its a (beautiful|cool) name."
            },{
                "condition":"@known_name",
                "output":"[([Now ]I am confused, |But )]you said your name was $known_name!"
            },{
                "condition":"1",
                "output":"[(Mine|My name|I am) is TASCHE, ]nice to meet you, $name!{@known_name = @name}"
            }]
    }]
}

Build TASCHE

TASCHE has no dependencies, but to build it you must have Flex and Bison in your computer. To build the project use plain make:

cd /project/path
make

To do

• Embed Lua to replace the expressions.

• Allow an edit distance in the input matching (Levenshtein Automata)
• Debug the interaction between dynamic variables and omisible patterns (branch dynamic_and_omisibles).
• Implement more verbose and debug options.
• Module for knowledge bases.
• Extend documetation.
• Optimize the comparison algorithms (too many substr).