Source code for nlp_architect.common.cdc.topics

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# Copyright 2017-2018 Intel Corporation
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#     http://www.apache.org/licenses/LICENSE-2.0
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import logging
import time
from typing import List

from nlp_architect.common.cdc.mention_data import MentionData
from nlp_architect.utils.io import load_json_file

logger = logging.getLogger(__name__)


[docs]class Topic(object): def __init__(self, topic_id): self.topic_id = topic_id self.mentions = []
[docs]class Topics(object): def __init__(self): self.topics_list = [] self.keep_order = False
[docs] def create_from_file(self, mentions_file_path: str, keep_order: bool = False) -> None: """ Args: keep_order: whether to keep original mentions order or not (default = False) mentions_file_path: this topic mentions json file """ self.keep_order = keep_order self.topics_list = self.load_mentions_from_file(mentions_file_path)
[docs] def load_mentions_from_file(self, mentions_file_path: str) -> List[Topic]: start_data_load = time.time() logger.info('Loading mentions from-%s', mentions_file_path) mentions = load_json_file(mentions_file_path) topics = self.order_mentions_by_topics(mentions) end_data_load = time.time() took_load = end_data_load - start_data_load logger.info('Mentions file-%s, took:%.4f sec to load', mentions_file_path, took_load) return topics
[docs] def order_mentions_by_topics(self, mentions: str) -> List[Topic]: """ Order mentions to documents topics Args: mentions: json mentions file Returns: List[Topic] of the mentions separated by their documents topics """ running_index = 0 topics = [] current_topic_ref = None for mention_line in mentions: mention = MentionData.read_json_mention_data_line(mention_line) if self.keep_order: if mention.mention_index == -1: mention.mention_index = running_index running_index += 1 topic_id = mention.topic_id if not current_topic_ref or len(topics) > 0 and topic_id != topics[-1].topic_id: current_topic_ref = Topic(topic_id) topics.append(current_topic_ref) current_topic_ref.mentions.append(mention) return topics