""" Copyright (c) 2016-2020 Keith Sterling http://www.keithsterling.com Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import re from programy.utils.logging.ylogger import YLogger from programy.utils.text.text import TextUtils from programy.dialog.question import Question class Conversation(): def __init__(self, client_context): self._client_context = client_context self._questions = [] self._max_histories = client_context.bot.configuration.conversations.max_histories self._properties = {'topic': client_context.bot.configuration.conversations.initial_topic} @property def questions(self): return self._questions @property def max_histories(self): return self._max_histories @max_histories.setter def max_histories(self, histories): self._max_histories = histories @property def properties(self): return self._properties def has_current_question(self): return bool(self._questions) def current_question(self): if self._questions: return self._questions[-1] raise Exception("Invalid question index") def previous_nth_question(self, num: int): if len(self._questions) < num: raise Exception("Num question array violation !") previous = -1 - num return self._questions[previous] def set_property(self, name: str, value: str): if name == 'topic': if value == "": value = '*' self._properties[name] = value def property(self, name: str): if name in self._properties: return self._properties[name] return None def record_dialog(self, question: Question): if len(self._questions) == self._max_histories: YLogger.info(self, "Conversation history at max [%d], removing oldest", self._max_histories) self._questions.remove(self._questions[0]) self._questions.append(question) def pop_dialog(self): if self._questions: self._questions.pop() def load_initial_variables(self, variables_collection): for pair in variables_collection.pairs: YLogger.debug(self, "Setting variable [%s] = [%s]", pair[0], pair[1]) self._properties[pair[0]] = pair[1] def get_topic_pattern(self, client_context): topic_pattern = self.property("topic") if topic_pattern is None: YLogger.info(client_context, "No Topic pattern default to [*]") topic_pattern = "*" else: YLogger.info(client_context, "Topic pattern = [%s]", topic_pattern) return topic_pattern def parse_last_sentences_from_response(self, response): # If the response contains punctuation such as "Hello. There" then THAT is none response = re.sub(r'<\s*br\s*/>\s*', ".", response) response = re.sub(r'

*', ".", response) sentences = response.split(".") sentences = [x for x in sentences if x] if sentences: last_sentence = sentences[-1] that_pattern = TextUtils.strip_all_punctuation(last_sentence) that_pattern = that_pattern.strip() else: that_pattern = "*" return that_pattern def get_that_pattern(self, client_context, srai=False): try: that_question = None if srai is False: that_question = self.previous_nth_question(1) else: if len(self._questions) > 2: for question in reversed(self._questions[:-2]): if question.srai is False and question.has_response(): that_question = question break if that_question is not None: that_sentence = that_question.current_sentence() else: that_sentence = None # If the last response was valid, i.e not none and not empty string, then use # that as the that_pattern, otherwise we default to '*' as pattern if that_sentence is not None and that_sentence.response is not None and that_sentence.response != '': that_pattern = self.parse_last_sentences_from_response(that_sentence.response) YLogger.info(client_context, "That pattern = [%s]", that_pattern) else: YLogger.info(client_context, "That pattern, no response, default to [*]") that_pattern = "*" except Exception as excep: YLogger.exception_nostack(client_context, "No That pattern default to [*]", excep) that_pattern = "*" return that_pattern def recalculate_sentiment_score(self, client_context): for question in self._questions: question.recalculate_sentinment_score(client_context) def calculate_sentiment_score(self): positivity = 0.00 subjectivity = 0.00 count = 0 for question in self._questions: q_positivity, q_subjectivity = question.calculate_sentinment_score() positivity += q_positivity subjectivity += q_subjectivity count += 1 if count > 0: positivity /= count subjectivity /= count else: subjectivity = 0.5 return positivity, subjectivity def save_sentiment(self): positivity, subjectivity = self.calculate_sentiment_score() self._properties['positivity'] = str(positivity) self._properties['subjectivity'] = str(subjectivity) def to_json(self): json_data = { 'client_context': self._client_context.to_json(), 'questions': [], 'max_histories': self._max_histories, 'properties': self._properties } for question in self.questions: json_data["questions"].append(question.to_json()) return json_data @staticmethod def from_json(client_context, json_data): conversation = Conversation(client_context) conversation.create_from_json(json_data) return conversation def create_from_json(self, json_data): for key, value in json_data['properties'].items(): self._properties[key] = value for json_question in json_data['questions']: self._questions.append(Question.from_json(self._client_context, json_question)) self.recalculate_sentiment_score(self._client_context)