.. warning::
Documentation not done.
************************
'''
import copy
import Policy
import DMUtils
import SummaryMapping
import Settings
import ContextLogger
logger = ContextLogger.getLogger(__name__)
MAX_NUM_ACCEPTED = 10
"""
Notes on proposed changes:
this module only needs the list of system_requestable slots
- perhaps rather than passing a whole instance of DomainUtils.DomainUtils() - we could just pass the list ?
"""
class HDCPolicy(Policy.Policy):
"""Handcrafted policy overrides Policy base class.
import :class:`DiaAct` |.|
import :class:`DomainUtils` |.|
import :class:`Settings` |.|
import :class:`ContextLogger`
************************
'''
__author__='donghokim, davidvandyke'
import copy
import Settings
import DiaAct
import DomainUtils
import ContextLogger
logger = ContextLogger.getLogger('')
class EMConfusionModel(object):
'''Base class for EMRandomConfusionModel.
.. Note::
Used through derived class only.
'''
def create_wrong_hyp(self, a_u):
'''Create a wrong hypothesis for a_u
:param a_u: (instance) of :class:`DiaAct`
:returns: (instance) of :class:`DiaAct` - modified input act
'''
confact_is_same = True
#########################################################
"""
RegexSemI_TSBplayer.py - regular expression based TSBplayer SemI decoder
=========================================================================
HELPFUL: http://regexr.com
"""
import RegexSemI
import re, os
parentdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
os.sys.path.insert(0, parentdir)
import ContextLogger
logger = ContextLogger.getLogger('')
import DomainUtils
import Settings
class RegexSemI_TSBplayer(RegexSemI.RegexParser):
"""
"""
def __init__(self, repoIn=None):
RegexSemI.RegexParser.__init__(
self, repoIn
) #better than super() here - wont need to be changed for other domains
self.domainTag = "TSBplayer" #FIXME
self.create_domain_dependent_regex()
def create_domain_dependent_regex(self):
import numpy as np
import random
import math
import copy
from collections import deque
from collections import OrderedDict
from scipy import linalg, mat, dot
import GPPolicy
import DMUtils
import DomainUtils
import Policy
import SummaryAction
import Settings
import ContextLogger
logger = ContextLogger.getLogger(__name__)
import itertools
class DataPoint(object):
def __init__(self, b, a):
self.b = b # belief point
self.a = a # action
def __eq__(self, other):
return (self.b == other.b and
self.a == other.a)
class DataPointValue(object):
def __init__(self, Q, N):
self.Q = Q # Q value
************************
'''
__author__ = "donghokim, davidvandyke"
import argparse
import ContextLogger
import Settings
import DomainUtils
import DMan
import TopicManager
from semi import SemI
from semo import SemO
logger = ContextLogger.getLogger('')
class ConsoleHub():
'''text based dialog system
:param None:
'''
def __init__(self):
if not Settings.config.has_option("DEFAULT","domains"):
logger.error("You must specify the domains under the DEFAULT section of the config")
domains = Settings.config.get("DEFAULT",'domains')
logger.info('--Dialogues over the domains: ', domains)
configlist = []
.. warning::
Documentation not done.
************************
"""
__author__ = "milicagasic"
import SummaryMapping
import Settings
import DMUtils
import ContextLogger
logger = ContextLogger.getLogger("")
MAX_NUM_ACCEPTED = 10
class SummaryAction:
"""
:param domainUtil: (instance) of :class:`DomainUtils.DomainUtils`
"""
def __init__(self, domainUtil):
self.domainUtil = domainUtil
self.action_names = []
for slot in self.domainUtil.ontology["system_requestable"]:
self.action_names.append("request_" + slot)
self.action_names.append("confirm_" + slot)
'''
__author__="donghokim, davidvandyke"
from collections import defaultdict
import math
import pprint
import copy
import Settings
import SummaryMapping
import dact
import agentutils
import ContextLogger
from practical1_dst.scripts import baseline #module in belieftracking dir that actually implements the Baseline and Focus trackers (DSTC names)
logger = ContextLogger.getLogger(__name__) #'belieftracking.BeliefTracker')
class BeliefTracker(object):
'''Belief Tracker base class that implements most of the functionality within the dialogue system. The actual inference
problem of belief tracking (ASR/SLU --> belief state update) is implemented by individual trackers in baseline.py.
Hence this class will never be instantiated, it just implements common functionality.'''
def __init__(self, domainUtil):
self.prevbelief = None
self.informedVenueSinceNone = None
self.turn = 0
self.domainUtil = domainUtil
self.CONDITIONAL_BELIEF_PROB = 0.8 # give 0.8 prob mass to slot-vals that occured in prev domains. #TODO config?
def str(self):
return pprint.pformat(agentutils.simplify_belief(self.domainUtil.ontology, self.prevbelief))
import numpy as np
import Settings
import DMan
import UserSimulator
import ErrorSimulator
from semo import SemO
import TopicManager
import DomainUtils
import Evaluation
import ContextLogger
try:
import cPickle as pickle
except:
import pickle
logger = ContextLogger.getLogger(__name__)
class SimulationSystem:
"""Semantic level simulated dialog system
:param generate_prompts: (bool) semo output
"""
def __init__(self, generate_prompts):
configs = []
if not Settings.config.has_option("DEFAULT", "domains"):
logger.error("You must specify the domains under the DEFAULT section of the config")
domains = Settings.config.get("DEFAULT", "domains")
import :class:`BeliefTracker` |.|
from :class:`policy` import :meth:`SummaryAction` |.|
import :class:`ContextLogger`
************************
'''
__author__ = "donghokim, davidvandyke"
import Settings
import BeliefTracker
import DomainUtils
from policy import SummaryAction
import ContextLogger
logger = ContextLogger.getLogger('')
class DMan:
'''Dialogue manager: controls all policy type/instance and policy learning choices.
'''
def __init__(self, domainUtil):
"""
Constructor for Dialogue manager: has a belief state tracker and a policy.
:param domainUtil: (instance) of :class:`DomainUtils`
:return:
"""
configlist = ['policytype']
self.useconfreq = False
self.actions = SummaryAction.SummaryAction(domainUtil)
self.bcm = False
import :class:`BeliefTracker` |.|
from :class:`policy` import :meth:`SummaryAction` |.|
import :class:`ContextLogger`
************************
'''
__author__="donghokim, davidvandyke"
import Settings
import BeliefTracker
import DomainUtils
from policy import SummaryAction
import ContextLogger
logger = ContextLogger.getLogger('')
class DMan:
'''Dialogue manager: controls all policy type/instance and policy learning choices.
'''
def __init__(self,domainUtil):
"""
Constructor for Dialogue manager: has a belief state tracker and a policy.
:param domainUtil: (instance) of :class:`DomainUtils`
:return:
"""
configlist = ['policytype']
self.useconfreq = False
self.actions = SummaryAction.SummaryAction(domainUtil)
self.bcm = False
__author__ = "donghokim, davidvandyke"
from collections import defaultdict
import math
import pprint
import copy
import Settings
import SummaryMapping
import dact
import agentutils
import ContextLogger
from practical1_dst.scripts import baseline #module in belieftracking dir that actually implements the Baseline and Focus trackers (DSTC names)
logger = ContextLogger.getLogger(__name__) #'belieftracking.BeliefTracker')
class BeliefTracker(object):
'''Belief Tracker base class that implements most of the functionality within the dialogue system. The actual inference
problem of belief tracking (ASR/SLU --> belief state update) is implemented by individual trackers in baseline.py.
Hence this class will never be instantiated, it just implements common functionality.'''
def __init__(self, domainUtil):
self.prevbelief = None
self.informedVenueSinceNone = None
self.turn = 0
self.domainUtil = domainUtil
self.CONDITIONAL_BELIEF_PROB = 0.8 # give 0.8 prob mass to slot-vals that occured in prev domains. #TODO config?
def str(self):
return pprint.pformat(
import argparse
import numpy as np
import Settings
import DMan
import UserSimulator
import ErrorSimulator
from semo import SemO
import TopicManager
import DomainUtils
import Evaluation
import ContextLogger
try:
import cPickle as pickle
except:
import pickle
logger = ContextLogger.getLogger(__name__)
class SimulationSystem:
'''Semantic level simulated dialog system
:param generate_prompts: (bool) semo output
'''
def __init__(self, generate_prompts):
configs = []
if not Settings.config.has_option("DEFAULT", "domains"):
logger.error(
"You must specify the domains under the DEFAULT section of the config"
)