ajax_vocabulary_management.py
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# -*- coding: utf-8 -*-
import codecs
import datetime
import HTMLParser
import os
from collections import Counter
from tempfile import mkdtemp, mkstemp
from django.contrib.auth.models import User
from django.db.models import Count, Max, Sum, Q
from django.http import HttpResponse
from django.template.loader import render_to_string
from django.utils.encoding import smart_str
from common.decorators import ajax, AjaxError, render
from dictionary.forms import ManageVocabPermForm
from dictionary.models import Frame_Opinion_Value, Lemma, Lemma_Status, \
POS, Vocabulary, VocabularyFormat, WalentyStat
from dictionary.teixml import createteixml
EN_MONTHS = ['January', 'February', 'March', 'April', 'May', 'June',
'July', 'August', 'September', 'October', 'November', 'December']
@ajax(method='post')
def create_vocabulary(request, form_data):
form_dict = dict((x['name'], x['value']) for x in form_data)
if not form_dict['format']:
raise AjaxError('format not selected')
voc_format_obj = VocabularyFormat.objects.get(pk=form_dict['format'])
lemmas = Lemma.objects.filter(old=False).order_by('entry')
if form_dict['vocabularies']:
lemmas = lemmas.filter(vocabulary__in=form_dict['vocabularies'])
if form_dict['lemma_statuses']:
lemmas = lemmas.filter(status__in=form_dict['lemma_statuses'])
if form_dict['owners']:
lemmas = lemmas.filter(owner__in=form_dict['owners'])
if form_dict['poss']:
lemmas = lemmas.filter(entry_obj__pos__in=form_dict['poss'])
lemmas = lemmas.distinct()
if voc_format_obj.format == u'Tekstowy':
tmp_folder = mkdtemp()
os.chdir(tmp_folder)
tmpfile, tmpfilename = mkstemp(dir=tmp_folder)
os.close(tmpfile)
file_name = create_text_walenty(tmpfilename, lemmas,
form_dict['vocabularies'], form_dict['frame_opinions'],
form_dict['lemma_statuses'], form_dict['owners'],
form_dict['poss'], form_dict['addframeopinion'])
elif voc_format_obj.format == u'TEX':
file_name = create_tex_walenty(lemmas, form_dict)
elif voc_format_obj.format == u'TEI':
file_name = create_tei_walenty(lemmas, form_dict)
return {'file_name': file_name}
def create_tei_walenty(lemmas, form_dict):
tmp_folder = mkdtemp()
os.chdir(tmp_folder)
tmpfile, tmpfilename = mkstemp(dir=tmp_folder)
os.close(tmpfile)
frame_opinion_values = Frame_Opinion_Value.objects.none()
if form_dict['frame_opinions']:
frame_opinion_values = Frame_Opinion_Value.objects.filter(pk__in=form_dict['frame_opinions'])
createteixml(tmpfilename,
lemmas,
frame_opinion_values)
file_name = tmpfilename + '.xml'
os.rename(tmpfilename, file_name)
return file_name
def create_text_walenty(file_name, lemmas, vocabularies, frame_opinions,
lemma_statuses, owners, poss, add_frame_opinions):
try:
f = codecs.open(file_name, 'w+', 'utf-8-sig' )
f.write(create_copyrights_str(dictionary_file=True,
frame_opinions_pks=frame_opinions,
lemma_statuses_pks=lemma_statuses,
poss_pks=poss,
add_frame_opinions=add_frame_opinions))
if vocabularies.exists():
lemmas = lemmas.filter(vocabulary__in=vocabularies)
for lemma in lemmas:
founded_frame_opinions = lemma.frame_opinions.filter(value__in=frame_opinions)
#frame_chars_dict = sorted_frame_char_values_dict()
for reflex_val in lemma.get_existing_frame_char_values(u'ZWROTNOŚĆ'):
for neg_val in lemma.get_existing_frame_char_values(u'NEGATYWNOŚĆ'):
for pred_val in lemma.get_existing_frame_char_values(u'PREDYKATYWNOŚĆ'):
for aspect_val in lemma.get_existing_frame_char_values(u'ASPEKT'):
matching_frames = lemma.get_frames_by_char_values(reflex_val=reflex_val,
neg_val=neg_val,
pred_val=pred_val,
aspect_val=aspect_val).order_by('text_rep')
for frame in matching_frames:
if not lemma.phraseology_ready() and frame.phraseologic:
continue
if not frame_opinions or founded_frame_opinions.filter(frame=frame).exists():
text_rep = frame.get_position_spaced_text_rep()
if add_frame_opinions:
text_rep = add_frame_opinion_and_return_text_rep(text_rep, lemma, frame)
if frame.characteristics.filter(type=u'ZWROTNOŚĆ', value__value=u'się').exists():
text_rep = ' ' + text_rep
f.write(lemma.entry+text_rep.replace(':',': ')+'\n')
os.rename(file_name, file_name+'.txt')
file_name = file_name+'.txt'
finally:
f.close()
return file_name
def create_copyrights_str(dictionary_file, frame_opinions_pks,
lemma_statuses_pks, poss_pks, add_frame_opinions):
date = datetime.datetime.now()
month = EN_MONTHS[date.month-1]
if dictionary_file:
license_clause = [u'% Walenty: a valence dictionary of Polish']
else:
license_clause = [u'% This file is part of Walenty: a valence dictionary of Polish']
license_clause.extend([u"% http://zil.ipipan.waw.pl/Walenty",
u"%% version: %s" % date.strftime(month + ' %d, %Y'),
u"%",
u"% © Copyright 2012–2018 by the Institute of Computer Science, Polish",
u"% Academy of Sciences (IPI PAN)",
u"%",
u"% This work is distributed under a CC BY-SA license:",
u"% http://creativecommons.org/licenses/by-sa/4.0/",
u"%",
u"% Walenty is a valence dictionary of Polish developed at the Institute",
u"% of Computer Science, Polish Academy of Sciences (IPI PAN). It currently",
u"%% contains %s schemata and %s frames for %s lemmata." % (WalentyStat.objects.get(label=u'Łączna liczba schematów').value,
WalentyStat.objects.get(label=u'Łączna liczba ram semantycznych').value,
WalentyStat.objects.get(label=u'Łączna liczba haseł').value),
u"%",
u"% The original formalism of Walenty was established by Filip Skwarski,",
u"% Elżbieta Hajnicz, Agnieszka Patejuk, Adam Przepiórkowski, Marcin",
u"% Woliński, Marek Świdziński, and Magdalena Zawisławska. It has been",
u"% further developed by Elżbieta Hajnicz, Agnieszka Patejuk, Adam",
u"% Przepiórkowski, and Marcin Woliński. The semantic layer has been",
u"% developed by Elżbieta Hajnicz and Anna Andrzejczuk.",
u"%",
u"% The original seed of Walenty was provided by the automatic",
u"% conversion, manually reviewed by Filip Skwarski, of the verbal valence",
u"% dictionary used by the Świgra2 parser (6396 schemata for 1462 lemmata),",
u"% which was in turn based on SDPV, the Syntactic Dictionary of Polish",
u"% Verbs by Marek Świdziński (4148 schemata for 1064 lemmata). Afterwards,",
u"% Walenty has been developed independently by adding new entries, ",
u"% syntactic schemata, in particular phraseological ones, and semantic",
u"% frames.",
u"%",
u"% Walenty has been edited and compiled using the Slowal tool",
u"% (http://zil.ipipan.waw.pl/Slowal) created by Bartłomiej Nitoń and",
u"% Tomasz Bartosiak."])
if dictionary_file:
frame_opinions = Frame_Opinion_Value.objects.filter(pk__in=frame_opinions_pks).order_by('priority')
if not frame_opinions.exists():
frame_opinions = Frame_Opinion_Value.objects.order_by('priority')
lemma_statuses = Lemma_Status.objects.filter(pk__in=lemma_statuses_pks).order_by('priority')
if not lemma_statuses.exists():
lemma_statuses = Lemma_Status.objects.order_by('priority')
poss = POS.objects.filter(pk__in=poss_pks).order_by('priority')
if not poss.exists():
poss = POS.objects.exclude(tag=u'unk').order_by('priority')
license_clause.extend([u"%",
u"% Parameters:",
u"%% Schema opinions: %s" % ', '.join([opinion.value for opinion in frame_opinions]),
u"%% Lemma statuses: %s" % ', '.join([status.status for status in lemma_statuses]),
u"%% Part of speech: %s" % ', '.join([pos.tag for pos in poss]),
u"%% Opinions added: %s" % ('True' if add_frame_opinions else 'False'),
u"%\n"])
else:
license_clause.append(u"%\n")
return u'\n'.join(license_clause)
def create_tex_walenty(lemmas, form_dict):
q_frame_opinions = []
if form_dict['frame_opinions']:
for pk in form_dict['frame_opinions']:
q_frame_opinions.append(Q(value__pk=pk))
tmp_folder = mkdtemp()
os.chdir(tmp_folder)
tmpfile, tmpfilename = mkstemp(dir=tmp_folder)
h = HTMLParser.HTMLParser()
# Pass the TeX template through Django templating engine and into the temp file
os.write(tmpfile, smart_str(h.unescape(render_to_string('tex/slowal.tex', {'lemmas': lemmas,
'q_frame_opinions': q_frame_opinions,
'download_dict' : form_dict,
'frames_count' : WalentyStat.objects.get(label=u'Łączna liczba ram semantycznych').value,
'schemata_count' : WalentyStat.objects.get(label=u'Łączna liczba schematów').value,
'lemmata_count' : WalentyStat.objects.get(label=u'Łączna liczba haseł').value}))))
os.close(tmpfile)
file_name = tmpfilename + '.tex'
os.rename(tmpfilename, file_name)
return file_name
def add_frame_opinion_and_return_text_rep(text_rep, lemma, frame):
try:
frame_op = lemma.frame_opinions.filter(frame__pk=frame.pk).all()[0].value.value
except:
frame_op = 'unk'
frame_form_list = text_rep.split(':')
frame_form_list.insert(1, frame_op)
text_rep = ':'.join(frame_form_list)
return text_rep
def download_vocabulary(request, file_name):
fullpath = '/' + file_name
download_file_name = '%s_%s' % ('walenty', datetime.datetime.now().strftime('%Y%m%d'))
with open(fullpath, "r") as f:
data = f.read()
response = HttpResponse(data, mimetype='text/txt')
if file_name.endswith('.txt'):
response['Content-Disposition'] = 'attachment; filename=%s.txt' % download_file_name
elif file_name.endswith('.tex'):
response['Content-Disposition'] = 'attachment; filename=%s.tex' % download_file_name
elif file_name.endswith('.xml'):
response['Content-Disposition'] = 'attachment; filename=%s.xml' % download_file_name
os.remove(fullpath)
os.rmdir(os.path.split(fullpath)[0])
return response
@render('vocab_perm_manage_form.html')
@ajax(method='get', encode_result=False)
def vocab_perm_manage_form(request, vocabulary_name):
vocabulary_obj = Vocabulary.objects.get(name=vocabulary_name)
form = ManageVocabPermForm(editors=vocabulary_obj.editors,
viewers=vocabulary_obj.viewers)
return {'form': form}
@ajax(method='post')
def vocab_perm_manage_form_submit(request, form_data):
form_dict = dict((x['name'], x['value']) for x in form_data)
vocabulary = Vocabulary.objects.get(name=form_dict['vocabulary_name'])
vocabulary.editors.clear()
vocabulary.viewers.clear()
for user_pk in form_dict['editors']:
selected_user = User.objects.get(pk=user_pk)
vocabulary.editors.add(selected_user)
vocabulary.viewers.add(selected_user)
for user_pk in form_dict['viewers']:
vocabulary.viewers.add(User.objects.get(pk=user_pk))
return {}
@render('vocabulary_stats.html')
@ajax(method='get', encode_result=False)
def get_vocabulary_stats(request, vocabulary_name):
if vocabulary_name:
voc = Vocabulary.objects.get(name=vocabulary_name)
lemmas = voc.lemmas.filter(old=False)
else:
lemmas = Lemma.objects.filter(old=False)
lemma_statuses = Lemma_Status.objects.order_by('priority')
poss = POS.objects.exclude(tag=u'unk').order_by('priority')
top_labels = create_top_labels(poss)
all_statuses_line = create_status_stats_line(lemmas, poss, 'wszystkie')
vocabulary_stats_tab_lines = [top_labels, all_statuses_line]
stats_by_pos = []
for lemma_status in lemma_statuses:
stat_lemmas = lemmas.filter(status__status=lemma_status.status)
stats_line = create_status_stats_line(stat_lemmas, poss, lemma_status.status)
vocabulary_stats_tab_lines.append(stats_line)
stats_by_pos.append(stats_line)
return {'vocabulary_stats': vocabulary_stats_tab_lines}
def create_top_labels(poss):
top_labels = ['Hasła / Schematy', 'wszystkie']
for pos in poss:
top_labels.append(pos.name)
return top_labels
def create_status_stats_line(lemmas, poss, status):
all_count = {'lemmas': lemmas.count(),
'schemas': count_schemas(lemmas)}
status_line = [status, all_count]
for pos in poss:
pos_lemmas = lemmas.filter(entry_obj__pos=pos)
pos_count = {'lemmas': pos_lemmas.count(),
'schemas': count_schemas(pos_lemmas)}
status_line.append(pos_count)
return status_line
def count_schemas(lemmas):
schemas_count = lemmas.annotate(num_frames=Count('frames')).aggregate(Sum('num_frames'))['num_frames__sum']
if not schemas_count:
schemas_count = 0
return schemas_count
@render('other_stats.html')
@ajax(method='get', encode_result=False)
def get_other_stats(request):
return {'stats': WalentyStat.objects.order_by('label')}
def get_stats(statuses, pos):
stats_dict = Counter({u'phrases': 0,
u'poss': 0,
u'lemmas': 0,
u'sub_lemmas': 0,
u'schemata': 0,
u'frames': 0,
u'cer_schemata': 0,
u'uncer_schemata': 0,
u'bad_schemata': 0,
u'arch_schemata': 0,
u'col_schemata': 0,
u'vul_schemata': 0,
u'coor_schemata': 0,
u'lex_schemata': 0,
u'coor_lemmas': 0,
u'lex_lemmas': 0})
lemmas = Lemma.objects.filter(old=False,
entry_obj__pos__tag=pos).filter(status__in=statuses).distinct()
stats_dict[u'lemmas'] = lemmas.count()
for lemma in lemmas.order_by('entry').all():
stats_dict[u'cer_schemata'] += lemma.frame_opinions.filter(value__value=u'pewny').count()
stats_dict[u'uncer_schemata'] += lemma.frame_opinions.filter(value__value=u'wątpliwy').count()
stats_dict[u'bad_schemata'] += lemma.frame_opinions.filter(value__value=u'zły').count()
stats_dict[u'arch_schemata'] += lemma.frame_opinions.filter(value__value=u'archaiczny').count()
stats_dict[u'col_schemata'] += lemma.frame_opinions.filter(value__value=u'potoczny').count()
stats_dict[u'vul_schemata'] += lemma.frame_opinions.filter(value__value=u'wulgarny').count()
stats_dict[u'schemata'] += lemma.frames.count()
stats_dict[u'frames'] += lemma.entry_obj.actual_frames().count()
stats_dict = stats_dict + Counter(get_sub_entries_dict(lemma))
has_phraseology = False
has_coordination = False
for frame in lemma.frames.all():
stats_dict[u'poss'] += frame.positions.count()
flat_frames = frame.positions.annotate(num_args=Count('arguments')).aggregate(Max('num_args'))['num_args__max']
if flat_frames > 1:
stats_dict[u'coor_schemata'] += 1
has_coordination = True
for pos in frame.positions.all():
stats_dict[u'phrases'] += pos.arguments.count()
if frame.phraseologic:
stats_dict[u'lex_schemata'] += 1
has_phraseology = True
if has_phraseology:
stats_dict[u'lex_lemmas'] += 1
if has_coordination:
stats_dict[u'coor_lemmas'] += 1
return stats_dict
def get_sub_entries_dict(lemma):
sub_entries_dict = {'sub_lemmas': 0}
for reflex in lemma.get_existing_frame_char_values(u'ZWROTNOŚĆ'):
for neg in lemma.get_existing_frame_char_values(u'NEGATYWNOŚĆ'):
for pred in lemma.get_existing_frame_char_values(u'PREDYKATYWNOŚĆ'):
for aspect in lemma.get_existing_frame_char_values(u'ASPEKT'):
matching_frames = lemma.get_frames_by_char_values(reflex_val=reflex,
neg_val=neg,
pred_val=pred,
aspect_val=aspect)
if matching_frames.exists():
sub_entries_dict[u'sub_lemmas'] += 1
subentry_key = u'Liczba podhaseł postaci: (%s,%s,%s,%s)' % (reflex.value, neg.value,
pred.value, aspect.value)
if not subentry_key in sub_entries_dict:
sub_entries_dict[subentry_key] = 0
sub_entries_dict[subentry_key] += 1
return sub_entries_dict
def write_stats(stats_path, stats):
try:
outfile = codecs.open(stats_path, 'wt', 'utf-8')
outfile.write(u'Łączna liczba haseł:\t%d\n\n' % stats['lemmas'])
outfile.write(u'Łączna liczba pozycji w schematach:\t%d\n' % stats['poss'])
outfile.write(u'Łączna liczba realizacji w schematach:\t%d\n\n' % stats['phrases'])
outfile.write(u'Łączna liczba podhaseł:\t%d\n' % stats['sub_lemmas'])
outfile.write(u'Liczba podhaseł postaci (ZWROTNOŚĆ, NEGATYWNOŚĆ, PREDYKATYWNOŚĆ, ASPEKT)\n')
write_subschemas_stats(outfile, stats)
outfile.write(u'Łączna liczba schematów:\t%d\n' % stats['schemata'])
outfile.write(u'Liczba schematów pewnych:\t%d\n' % stats['cer_schemata'])
outfile.write(u'Liczba schematów wątpliwych:\t%d\n' % stats['uncer_schemata'])
outfile.write(u'Liczba schematów złych:\t%d\n' % stats['bad_schemata'])
outfile.write(u'Liczba schematów archaicznych:\t%d\n' % stats['arch_schemata'])
outfile.write(u'Liczba schematów potocznych:\t%d\n' % stats['col_schemata'])
outfile.write(u'Liczba schematów wulgarnych:\t%d\n\n' % stats['vul_schemata'])
outfile.write(u'Łączna liczba schematów z koordynacją:\t%d\n' % stats['coor_schemata'])
outfile.write(u'Łączna liczba schematów zleksykalizowanych:\t%d\n\n' % stats['lex_schemata'])
outfile.write(u'Łączna liczba haseł zawierających pozycje z koordynacją:\t%d\n' % stats['coor_lemmas'])
outfile.write(u'Łączna liczba haseł zawierających schematy zleksykalizowane:\t%d\n\n' % stats['lex_lemmas'])
outfile.write(u'Łączna liczba ram semantycznych:\t%d\n\n' % stats['frames'])
finally:
outfile.close()
def write_subschemas_stats(stats_file, stats):
subschemas_stats = ['%s:\t%d\n' % (k, v) for k,v in stats.iteritems() if k.startswith(u'Liczba podhaseł postaci:')]
subschemas_stats.sort()
for stat in subschemas_stats:
stats_file.write(stat)
stats_file.write('\n')
def update_walenty_stats(stats):
WalentyStat.objects.all().delete()
WalentyStat(label=u'Łączna liczba haseł', value=str(stats['lemmas'])).save()
WalentyStat(label=u'Łączna liczba pozycji w schematach', value=str(stats['poss'])).save()
WalentyStat(label=u'Łączna liczba realizacji w schematach', value=str(stats['phrases'])).save()
WalentyStat(label=u'Łączna liczba schematów', value=str(stats['schemata'])).save()
WalentyStat(label=u'Łączna liczba schematów z koordynacją', value=str(stats['coor_schemata'])).save()
WalentyStat(label=u'Łączna liczba schematów zleksykalizowanych', value=str(stats['lex_schemata'])).save()
WalentyStat(label=u'Łączna liczba ram semantycznych', value=str(stats['frames'])).save()