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103 lines
3.5 KiB
Python
103 lines
3.5 KiB
Python
"""
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This script demonstrates how to create a bare-bones, fully functional
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chatbot using PyAIML.
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"""
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from __future__ import print_function
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import os.path
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import sys
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import argparse
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import io
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import aiml
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if sys.version_info[0] == 3:
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getline = lambda : input('> ' )
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else:
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getline = lambda : raw_input('> ').decode(sys.stdin.encoding)
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def read_args():
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'''
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Read command-line arguments
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'''
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parser = argparse.ArgumentParser(description='Simple interactive bot')
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g1 = parser.add_argument_group( 'Bot definition' )
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g11 = g1.add_mutually_exclusive_group( required=True )
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g11.add_argument( '--standard', '-s', action='store_true',
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help='Load the Standard AIML Set' )
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g11.add_argument( '--alice', '-a', action='store_true',
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help='Load the Alice AIML Set' )
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g11.add_argument( '--aiml', nargs='+', help='Load AIML file(s)' )
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g11.add_argument( '--brain', metavar='BRAINFILE',
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help='Load a dumped brain file' )
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g2 = parser.add_argument_group( 'Options' )
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g2.add_argument( '--chdir', metavar='DIRECTORY',
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help='Directory to change to before loading AIML files' )
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g2.add_argument( '--commands', '-c', metavar='COMMAND', nargs='+',
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default=[],
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help='Optional command(s) to send to kernel after data loading' )
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g3 = parser.add_argument_group( 'Actions' )
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g3.add_argument( '--save', metavar='FILENAME',
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help='Dump the loaded brain to a file' )
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g3.add_argument( '--interactive', '-i', action='store_true',
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help='Enter interactive mode' )
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g3.add_argument( '--batch', '-b',
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help='Send a series of inputs to the bot' )
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return parser.parse_args()
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def main():
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args = read_args()
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# Create a Kernel object. No string encoding (all I/O is unicode)
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kern = aiml.Kernel()
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kern.setTextEncoding( None )
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# Use the Kernel's bootstrap() method to initialize the Kernel. The
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# optional learnFiles argument is a file (or list of files) to load.
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# The optional commands argument is a command (or list of commands)
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# to run after the files are loaded.
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# The optional brainFile argument specifies a brain file to load.
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if args.standard:
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chdir = os.path.join( aiml.__path__[0],'botdata','standard' )
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kern.bootstrap(learnFiles="startup.xml", commands="load aiml b",
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chdir=chdir)
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elif args.alice:
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chdir = os.path.join( aiml.__path__[0],'botdata','alice' )
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kern.bootstrap(learnFiles="startup.xml", commands="load alice",
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chdir=chdir)
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elif args.aiml:
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kern.bootstrap(learnFiles=args.aiml, commands=args.commands,
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chdir=args.chdir)
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elif args.brain:
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kern.bootstrap(brainFile=args.brain)
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if args.save:
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kern.saveBrain(args.save)
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if args.batch:
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with io.open( args.batch, 'rt' ) as fin:
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for line in fin:
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line = line.rstrip()
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print( ">", line )
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print( "<", kern.respond(line) )
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if args.interactive:
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# Enter the main input/output loop.
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print( "\nINTERACTIVE MODE (ctrl-c to exit)" )
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try:
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while True:
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print( kern.respond(getline()) )
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except KeyboardInterrupt:
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print( 'Interrupted!' )
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except EOFError:
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print( 'Terminated!' )
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if __name__ == '__main__':
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main()
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