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.state = state # {node: level, node: level, ...}
self.topic = self.topic_generator()
self.current_topic = next(self.topic)
self.questions = self.generate_questions_for_topic(self.current_topic)
self.current_question = None
self.finished_questions = []
# ------------------------------------------------------------------------
def topic_generator(self):
self.topic_sequence = nx.topological_sort(self.depgraph) # FIXME for now...
for t in self.topic_sequence:
if self.state.get(t, 0.0) > 0.999:
continue
self.questions = self.generate_questions_for_topic(t)
logger.info(f'Generated {len(self.questions)} questions for topic "{t}"')
yield t
# ------------------------------------------------------------------------
def generate_questions_for_topic(self, topic):
factory = self.depgraph.node[topic]['factory']
return [q.generate() for q in factory]
# ------------------------------------------------------------------------
def get_current_question(self):
return self.current_question
# ------------------------------------------------------------------------
def get_current_topic(self):
return self.current_topic
# ------------------------------------------------------------------------
def get_knowledge_state(self):
return [(t, self.state.get(t, 0.0)) for t in self.topic_sequence]
# ------------------------------------------------------------------------
def get_topic_progress(self):
return len(self.finished_questions) / (len(self.finished_questions) + len(self.questions))
# --- generates a new question given the current state -------------------
def new_question(self):
logger.debug('Knowledge.new_question()')
if self.current_question is None or self.current_question.get('grade', 0.0) > 0.9999:
while not self.questions:
# finished topic!
self.state[self.current_topic] = 1.0
self.finished_questions = []
try:
self.current_topic = next(self.topic)
except StopIteration:
self.topic = self.topic_generator()
self.current_topic = next(self.topic)
self.questions = self.generate_questions_for_topic(self.current_topic)
self.current_question = self.questions.pop(0)
self.current_question['start_time'] = datetime.now()
self.finished_questions.append(self.current_question) # FIXME not yet finished...
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