load_initial_nverb_frames.py
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#-*- coding:utf-8 -*-
#Copyright (c) 2014, 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 codecs
import itertools
from operator import itemgetter
from django.core.management.base import BaseCommand
#from dictionary.common_func import arg_data_to_arg, args_to_position, \
# positions_to_frame
from dictionary.models import Argument, Argument_Model, Frame_Opinion, \
Frame_Opinion_Value, Lemma, positions_to_frame, \
get_or_create_position
NOUNS_ADDED_PATH = 'data/nverbs/nouns/added-merged_nouns_val.txt'
NOUNS_ERROR_PATH = 'data/nverbs/nouns/error-merged_nouns_val.txt'
NOUNS_FRAMES_PATH = 'data/nverbs/nouns/merged_nouns_val-poss.txt'
ADJS_ADDED_PATH = 'data/nverbs/adjs/added-merged_adjs_val.txt'
ADJS_ERROR_PATH = 'data/nverbs/adjs/error-merged_adjs_val.txt'
ADJS_FRAMES_PATH = 'data/nverbs/adjs/merged_adjs_val-P1.txt'
class Command(BaseCommand):
args = 'none'
help = """
Adds initial nverb frames.
"""
def handle(self, **options):
#add_initial_frames(NOUNS_FRAMES_PATH, NOUNS_ADDED_PATH, NOUNS_ERROR_PATH, 'noun')
add_initial_frames(ADJS_FRAMES_PATH, ADJS_ADDED_PATH, ADJS_ERROR_PATH, 'adj')
def add_initial_frames(frames_path, added_path, error_path, pos_tag):
try:
added_file = codecs.open(added_path, "wt", 'utf-8')
error_file = codecs.open(error_path, "wt", 'utf-8')
frames_file = codecs.open(frames_path, "rt", 'utf-8')
for line in frames_file:
line = line.strip()
pred_val = ''
if line.startswith('%'):
continue
lemma, frames_str, pred_val = get_frames_info(line)
try:
lemma_obj = Lemma.objects.get(entry=lemma, old=False,
status__status=u'do obróbki',
entry_obj__pos__tag=pos_tag)
#lemma_obj.frames.clear()
print lemma_obj
try:
parse_and_add_frames(lemma_obj, frames_str, pred_val)
added_file.write(u'%s\n' % line)
except:
error_file.write(u'%s\n' % line)
except Lemma.DoesNotExist:
pass
finally:
added_file.close()
error_file.close()
frames_file.close()
def add_initial_frames_by_entries(entries, frames_path, added_path, error_path, pos_tag):
print 'Adding initial frames!'
try:
added_file = codecs.open(added_path, "wt", 'utf-8')
error_file = codecs.open(error_path, "wt", 'utf-8')
frames_file = codecs.open(frames_path, "rt", 'utf-8')
for line in frames_file:
line = line.strip()
pred_val = ''
if line.startswith('%'):
continue
lemma, frames_str, pred_val = get_frames_info(line)
if lemma in entries:
try:
lemma_obj = Lemma.objects.get(entry=lemma, old=False,
status__status=u'do obróbki',
entry_obj__pos__tag=pos_tag)
print lemma_obj
try:
parse_and_add_frames(lemma_obj, frames_str, pred_val)
added_file.write(u'%s\n' % line)
except:
error_file.write(u'%s\n' % line)
except Lemma.DoesNotExist:
pass
finally:
added_file.close()
error_file.close()
frames_file.close()
def get_frames_info(line):
predicativity_val = ''
line_parts = line.split('\t')
lemma = line_parts[0].strip()
frames_str = line_parts[1].strip()
if len(line_parts) == 3 and line_parts[2] == 'PRED':
predicativity_val = 'pred'
return lemma, frames_str, predicativity_val
def parse_and_add_frames(lemma_obj, frames_str, predicativity_val):
poss_ls = []
valence_ls = [arg.strip() for arg in frames_str.split('+')]
for pos_arg in valence_ls:
pos_arg = pos_arg.strip()
possible_args = pos_arg.split('/')
possible_args = coordinate_arguments(possible_args)
poss_ls.append(possible_args)
confs = itertools.product(*poss_ls)
for frame_args in list(confs):
frame_args = list(set(frame_args)) #--> tutaj byl fuckup i tworzyly sie dziwne pozycje majace ten sam argument kilkukrotnie, moze ta linijka pomoze
frame_obj, frame_opinion_obj = create_frame(frame_args, predicativity_val)
lemma_obj.frames.add(frame_obj)
lemma_obj.frame_opinions.add(frame_opinion_obj)
def coordinate_arguments(arguments):
coordinated_args = []
for arg in arguments:
arg_type, attributes = arg_from_text_rep(arg)
case, preposition = get_arg_case_and_preposition(arg)
coordinated_arg = next((arg for arg in coordinated_args if (arg['case'] == case and
arg['preposition'] == preposition)), None)
if coordinated_arg and case:
coordinated_arg['argument'] += ';%s' % arg
else:
coordinated_arg = {'argument': arg,
'case': case,
'preposition': preposition}
coordinated_args.append(coordinated_arg)
if arg_type == 'ncp':
additional_arg = u'np(%s)' % case
coordinated_arg['argument'] += ';%s' % additional_arg
elif arg_type == 'prepncp':
additional_arg = u'prepnp(%s,%s)' % (preposition, case)
coordinated_arg['argument'] += ';%s' % additional_arg
return [arg['argument'] for arg in coordinated_args]
def arg_from_text_rep(argument):
attributes = []
arg_parts = argument.split('(')
arg_type = arg_parts[0]
if len(arg_parts) > 1:
attributes = arg_parts[1].rstrip(')').replace("'", "").split(',')
return arg_type, attributes
def get_arg_case_and_preposition(argument):
case = ''
preposition = ''
argument = arg_conversion(argument)
arg_type, attributes = arg_from_text_rep(argument)
argument_model = Argument_Model.objects.get(arg_model_name=arg_type)
attribute_models = argument_model.atribute_models.order_by('priority')
for attr_model, attr_text_rep in zip(attribute_models, attributes):
if attr_model.atr_model_name == u'PRZYPADEK':
case = attr_text_rep
elif attr_model.atr_model_name == u'PRZYIMEK':
preposition = attr_text_rep
return case, preposition
def arg_conversion(arg_text_rep):
arg_text_rep = arg_text_rep.replace('!', '').replace('*', '').replace('?', '')
if arg_text_rep == 'advp':
arg_text_rep = u'xp(_)'
elif arg_text_rep.startswith('comprepnp'):
arg_text_rep = arg_text_rep.replace("'", "").replace(',gen', '')
return arg_text_rep
def create_frame(frame_args, predicativity_val):
positions_objs, frame_opinion_value = get_positions(frame_args)
frame_obj = positions_to_frame(positions_objs,
reflex='',
negativity='',
predicativity=predicativity_val,
aspect='')
frame_opinion_obj, xx = Frame_Opinion.objects.get_or_create(frame=frame_obj,
value=frame_opinion_value)
return frame_obj, frame_opinion_obj
def get_positions(args_strs):
poss_objs = []
frame_opinions = []
for poss_args_str in args_strs:
frame_opinions.append(possible_frame_opinion(poss_args_str))
poss_objs.append(create_position(poss_args_str))
frame_opinion = sorted(frame_opinions, key=itemgetter('priority'), reverse=False)[0]
frame_opinion_value = Frame_Opinion_Value.objects.get(value=frame_opinion['opinion'])
return poss_objs, frame_opinion_value
def possible_frame_opinion(arg_str):
opinion = {'opinion': 'pewny',
'priority': '4'}
if '!' in arg_str:
opinion = {'opinion': u'zły',
'priority': '1'}
elif '?' in arg_str:
opinion = {'opinion': u'wątpliwy',
'priority': '2'}
elif '*' in arg_str:
opinion = {'opinion': u'archaiczny',
'priority': '3'}
return opinion
def create_position(args_str):
arg_objs = []
for arg_text_rep in args_str.split(';'):
arg_text_rep = arg_conversion(arg_text_rep)
# try:
arg_obj = Argument.objects.get(text_rep=arg_text_rep)
# except Argument.DoesNotExist: # TODO wylaczac przy wstepnym wrzucaniu hasel
# arg_type, attributes = arg_from_text_rep(arg_text_rep)
# arg_obj = arg_data_to_arg(arg_type, attributes)
arg_objs.append(arg_obj)
pos_obj = get_or_create_position(categories=[], arguments=arg_objs)
return pos_obj