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RuleSemIMethods.py 3.46 KiB
###############################################################################
# PyDial: Multi-domain Statistical Spoken Dialogue System Software
###############################################################################
#
# Copyright 2015 - 2019
# Cambridge University Engineering Department Dialogue Systems Group
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
###############################################################################
'''
RuleSemIMethods.py - Semantic input parsers based on rules
============================================================
Copyright CUED Dialogue Systems Group 2015 - 2017
.. seealso:: CUED Imports/Dependencies:
import :mod:`utils.ContextLogger` |.|
import :class:`semi.RegexSemI_generic.RegexSemI_generic` |.|
Collection of Semantic Parsers that are rule based.
************************
'''
__author__ = "cued_dialogue_systems_group"
import os
from semi.RegexSemI_generic import RegexSemI_generic
from utils import ContextLogger
logger = ContextLogger.getLogger('')
parentdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
os.sys.path.insert(0,parentdir)
class PassthroughSemI(object):
'''**Does nothing** - simply pass observation directly through (on assumption that observation was a
semantic act input by a texthub user) -- hence is domain independent and doesn't need a manager
'''
# Added some optional arguments that are only needed by DLSemI, here they are just for consistency
def decode(self, obs, sys_act=None,turn=None):
'''
:param obs: the list of observations
:type obs: str
:returns: (str) **EXACT** obs as was input
'''
return obs
class RegexSemI(object):
"""
A semantic parser based on regular expressions. One parser for each domain is necessary. To implement a new
regex parser, derive from semi.RegexSemI.RegexSemI and create your own module called "RegexSemI_<yourdomainname>"
containing the class "RegexSemI_<yourdomainname>".
"""
def __init__(self,domainTag):
self.SPECIAL_DOMAINS = ['topicmanager','wikipedia','ood']
self.domain_tag = domainTag
if domainTag not in self.SPECIAL_DOMAINS:
# sys.path.append(Settings.root+"semi/")
try:
parser_module = __import__("semi.RegexSemI_"+self.domain_tag, fromlist=["RegexSemI_"+self.domain_tag])
self.parser = getattr(parser_module, "RegexSemI_"+self.domain_tag)()
except ImportError:
logger.warning("No suitable regex SemI module found. Defaulting to generic module.")
self.parser = RegexSemI_generic(self.domain_tag)
else:
from .RegexSemI import RegexSemI
self.parser = RegexSemI()
# Again, added some optional arguments that are only needed by DLSemI, here they are just for consistency
def decode(self, obs, sys_act=None, turn=None):
"""
"""
return self.parser.decode(obs, sys_act)
# END OF FILE