frames_count.py
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#-*- coding:utf-8 -*-
#Copyright (c) 2012, Bartłomiej Nitoń
#All rights reserved.
#Redistribution and use in source and binary forms, with or without modification, are permitted provided
#that the following conditions are met:
# Redistributions of source code must retain the above copyright notice, this list of conditions and
# the following disclaimer.
# Redistributions in binary form must reproduce the above copyright notice, this list of conditions
# and the following disclaimer in the documentation and/or other materials provided with the distribution.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
# TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
import operator
from django.core.management.base import BaseCommand
from django.db.models import Q, Max, Count
from django.utils.encoding import smart_str
from dictionary.models import Lemma
class Command(BaseCommand):
args = 'none'
help = 'Get flat and big frames count from ready and checked frames.'
def handle(self, **options):
frames_count()
def frames_count():
q_status_list = []
q_status_list.append(Q(status__status=u'gotowe'))
q_status_list.append(Q(status__status=u'sprawdzone'))
lemmas = Lemma.objects.filter(old=False).filter(reduce(operator.or_, q_status_list))
big_frames = 0
flat_frames = 0
for lemma in lemmas.all():
print smart_str(lemma.entry)
big_frames += lemma.frames.count()
print lemma.frames.count()
for frame in lemma.frames.all():
max_args = frame.positions.annotate(num_args=Count('arguments')).aggregate(Max('num_args'))['num_args__max']
flat_frames += max_args
big_frames = float(big_frames)
flat_frames = float(flat_frames)
print 'big_frames: ' + str(big_frames)
print 'flat_frames: ' + str(flat_frames)
print str(flat_frames/big_frames)