knowledge.py
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# python standard library
import random
from datetime import datetime
import logging
# libraries
import networkx as nx
# this project
import questions
# setup logger for this module
logger = logging.getLogger(__name__)
# ----------------------------------------------------------------------------
# contains the kowledge state of each student.
class Knowledge(object):
def __init__(self, depgraph, state={}):
self.depgraph = depgraph
self.topic_sequence = nx.topological_sort(self.depgraph) # FIXME
# state = {'topic_id': {'level':0.5, 'date': datetime}, ...}
self.state = state
# select a topic to do
self.new_topic()
# ------------------------------------------------------------------------
def new_topic(self, topic=None):
logger.debug(f'-> Knowledge.new_topic({topic})')
if topic is None:
# select the first topic that has level < 0.9
for topic in self.topic_sequence:
if topic not in self.state or self.state[topic]['level'] < 0.9:
break
# FIXME if all are > 0.9, will stay in the last one forever...
self.current_topic = topic
self.current_topic_idx = self.topic_sequence.index(topic)
self.questions = self.generate_questions_for_topic(topic)
self.current_question = None
self.finished_questions = []
# ------------------------------------------------------------------------
def generate_questions_for_topic(self, topic):
logger.debug(f'-> Knowledge.generate_questions_for_topic({topic})')
factory_list = self.depgraph.node[topic]['factory']
return [q.generate() for q in factory_list]
# ------------------------------------------------------------------------
def get_current_question(self):
return self.current_question
# ------------------------------------------------------------------------
def get_current_topic(self):
return self.current_topic
# ------------------------------------------------------------------------
def get_knowledge_state(self):
logger.debug('-> Knowledge.get_knowledge_state()')
ts = []
for t in self.topic_sequence:
if t in self.state:
ts.append((t, self.state[t]['level']))
else:
ts.append((t, 0.0))
return ts
# ------------------------------------------------------------------------
def get_topic_progress(self):
logger.debug('-> Knowledge.get_topic_progress()')
return len(self.finished_questions) / (len(self.finished_questions) + len(self.questions))
# ------------------------------------------------------------------------
# if answer to current question is correct generates a new question
# otherwise returns none
def new_question(self):
logger.debug('-> Knowledge.new_question()')
if self.current_question is None or \
self.current_question.get('grade', 0.0) > 0.9:
# if no more questions in this topic, go to the next one
# keep going if there are no questions in the next topics
while not self.questions:
self.state[self.current_topic] = {
'level': 1.0,
'date': datetime.now()
}
self.new_topic()
self.current_question = self.questions.pop(0)
self.current_question['start_time'] = datetime.now()
self.finished_questions.append(self.current_question)
return self.current_question
# --- checks answer ------------------------------------------------------
# returns current question with correction, time and comments updated
def check_answer(self, answer):
logger.debug(f'-> Knowledge.check_answer({answer})')
question = self.current_question
if question is not None:
question['finish_time'] = datetime.now()
question.correct(answer)
return question