def get_top_ten_improvable_states(explorations):
ranked_states = []
for exploration in explorations:
for state_id in exploration.state_ids:
state = exploration.get_state_by_id(state_id)
state_key = '%s.%s' % (exploration.id, state.id)
# Get count of how many times the state was hit
event_key = get_event_key(STATS_ENUMS.state_hit, state_key)
all_count = Counter.get_value_by_id(event_key)
if all_count == 0:
continue
# Count the number of times the default rule was hit.
event_key = get_event_key(
STATS_ENUMS.rule_hit, '%s.Default' % state_key)
default_count = Journal.get_value_count_by_id(event_key)
journal = Journal.get(event_key, strict=False)
if journal:
top_default_answers = collections.Counter(
journal.values).most_common(5)
else:
top_default_answers = []
# Count the number of times an answer was submitted, regardless
# of which rule it hits.
completed_count = 0
for handler in state.widget.handlers:
for rule in handler.rules:
rule_name = create_rule_name(rule)
event_key = get_event_key(
STATS_ENUMS.rule_hit, '%s.%s' %
(state_key, rule_name))
completed_count += Journal.get_value_count_by_id(
event_key)
incomplete_count = all_count - completed_count
state_rank, improve_type = 0, ''
eligible_flags = []
default_rule = filter(lambda rule: rule.name == 'Default',
state.widget.handlers[0].rules)[0]
default_self_loop = default_rule.dest == state.id
if float(default_count) / all_count > .2 and default_self_loop:
eligible_flags.append({
'rank': default_count,
'improve_type': IMPROVE_TYPE_DEFAULT})
if float(incomplete_count) / all_count > .2:
eligible_flags.append({
'rank': incomplete_count,
'improve_type': IMPROVE_TYPE_INCOMPLETE})
eligible_flags = sorted(
eligible_flags, key=lambda flag: flag['rank'], reverse=True)
if eligible_flags:
state_rank = eligible_flags[0]['rank']
improve_type = eligible_flags[0]['improve_type']
ranked_states.append({
'exp_id': exploration.id,
'exp_name': exploration.title,
'state_id': state.id,
'state_name': state.name,
'rank': state_rank,
'type': improve_type,
'top_default_answers': top_default_answers
})
problem_states = sorted(
[state for state in ranked_states if state['rank'] != 0],
key=lambda state: state['rank'],
reverse=True)
return problem_states[:10]
