ajax_lexeme_slickgrid.py
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#-*- coding:utf-8 -*-
from hashlib import md5
from django.db.models import Count
from django.core.cache import cache
from dictionary.models import Lexeme, filter_visible, visible_vocabularies, LexemeAttribute
from dictionary.ajax_slickgrid import SlickGridQuery
from common.decorators import ajax
from common.util import bisect_left, reverse, json_encode
import locale
locale.setlocale(locale.LC_ALL, 'pl_PL.UTF-8')
class LexemeQuery(SlickGridQuery):
model = Lexeme
sort_field = 'entry'
filter_field_translation = {
'form': 'lexemeform__form',
'lexeme_qualifier': 'qualifiers__id',
'lip_qualifier': 'lexemeinflectionpattern__qualifiers__id',
'qualifier': 'qualifiers_cache__id',
'classification_value': 'classificationvalue__id',
'pattern_name': 'lexemeinflectionpattern__pattern__name',
'pattern_type': 'lexemeinflectionpattern__pattern__type_id',
'gender': 'lexemeinflectionpattern__gender_id',
'containing_vocabulary': 'vocabularies__id',
'owner_vocabulary': 'owner_vocabulary_id',
'pattern_count': 'pc',
'gender_count': 'gc',
'cr_type': 'refs_to__type_id',
'borrowing_source': 'borrowing_source_id',
}
def sort_queryset(self, queryset):
order_list = [self.sort_field, 'id']
if self.sort_rules[0] == 'a_tergo':
queryset = queryset.extra(select={'rev': "reverse(haslo)"})
order_list[0] = 'rev'
return queryset.extra(order_by=order_list)
def apply_filter_rule(self, queryset, rule):
lookup = self.lookup_translation[rule['op']]
negated = (lookup[0] == '-')
field, data = rule['field'], rule['data']
new_rule = dict(rule)
if field == 'pattern_count':
queryset = queryset.annotate(
pc=Count('lexemeinflectionpattern__pattern', distinct=True))
elif field == 'gender_count':
queryset = queryset.annotate(
gc=Count('lexemeinflectionpattern__gender', distinct=True))
elif field in ('lexeme_qualifier', 'lip_qualifier', 'qualifier',
'borrowing_source'):
if int(data) == 0:
new_rule['op'] = 'isnull' if negated else '-isnull'
new_rule['data'] = False
elif field.startswith('extra'):
attr = LexemeAttribute.objects.get(id=int(field.split('-')[1]))
new_rule['field'] = 'lexemeav__attribute_value'
if attr.closed and int(data) == 0:
new_rule['op'] = 'in' if negated else '-in'
values = attr.values.all()
new_rule['data'] = tuple(values)
elif not attr.closed:
new_rule['field'] = 'value'
# lekki abuse
matching_values = super(LexemeQuery, self).apply_filter_rule(
attr.values, new_rule)
new_rule['field'] = 'lexemeav__attribute_value'
new_rule['op'] = 'in'
new_rule['data'] = tuple(matching_values)
return super(LexemeQuery, self).apply_filter_rule(queryset, new_rule)
def get_queryset(self):
lexemes = super(LexemeQuery, self).get_queryset()
return filter_visible(lexemes, self.user)
# nieużywane
def filter_from(self, queryset, from_value, upward):
if self.sort_rules[0] == 'a_tergo':
if upward:
comp = '>='
else:
comp = '<='
return queryset.extra(where=["reverse(haslo) " + comp + " %s"],
params=[reverse(from_value)])
else:
return super(LexemeQuery, self).filter_from(
queryset, from_value, upward)
def response_row(self, lexeme, columns=None):
if columns is None:
columns = (
'id', 'entry', 'pos', 'patterns', 'genders', 'vocabs',
'owner', 'status')
if 'patterns' in columns or 'genders' in columns:
lip_data = lexeme.lip_data()
lazy_response = {
'id': lambda: lexeme.id,
'entry': lambda: lexeme.entry,
'pos': lambda: lexeme.part_of_speech_id,
'patterns': lambda: lip_data['patterns'],
'genders': lambda: lip_data['genders'],
'vocabs': lambda: '/'.join(v.id for v in lexeme.vocabularies.all()),
'owner': lambda: lexeme.owner_vocabulary_id,
'status': lambda: dict(Lexeme.STATUS_CHOICES).get(lexeme.status),
}
return dict((column, lazy_response[column]()) for column in columns)
# indeks wiersza w danym sortowaniu, w którym
# znajdzie się rekord o danym id
def row_index(self, lexeme_id):
id_list = self.get_id_list()
if len(id_list) == 0:
return None
try:
return id_list.index(lexeme_id)
except ValueError:
return None
def search_index(self, mask):
id_list = self.get_id_list()
count = len(id_list)
if count == 0:
return 0
index = bisect_left(id_list, mask, cmp=self.lexeme_cmp())
if index == count:
index -= 1
return index
def cache_key(self):
key = json_encode((self.sort_rules, self.filter), ensure_ascii=True)
for vocabulary in visible_vocabularies(self.user):
key += vocabulary.id
return md5(key).hexdigest()
def get_cached_lexemes(self, refresh=True):
key = self.cache_key()
cached = cache.get(key)
if refresh:
cache.set(key, cached)
return cached
def cache_lexemes(self, id_list):
key = self.cache_key()
cache.set(key, id_list)
key_list = cache.get('key_list', [])
if key not in key_list:
key_list.append(key)
cache.set('key_list', key_list)
def get_id_list(self, force_reload=False, refresh=True):
if not force_reload:
id_list = self.get_cached_lexemes(refresh=refresh)
else:
id_list = None
if id_list is None:
lexemes = self.get_sorted_queryset()
if 'rev' in lexemes.query.extra_select:
id_list = list(row[0] for row in lexemes.values_list('id', 'rev'))
else:
id_list = list(lexemes.values_list('id', flat=True))
self.cache_lexemes(id_list)
return id_list
def lexeme_cmp(self):
def fun(lexeme_id, mask):
e1 = Lexeme.objects.get(id=lexeme_id).entry
e2 = mask
if self.sort_rules[0] == 'a_tergo':
e1 = reverse(e1)
e2 = reverse(e2)
result = locale.strcoll(e1, e2)
return result
return fun
def export_list(self, columns, output_file):
column_translation = {
'pos': 'part_of_speech_id',
'patterns': 'pattern_list',
'genders': 'gender_list',
'vocabs': 'vocab_list',
'owner': 'owner_vocabulary_id'
}
lexemes = Lexeme.objects.filter(id__in=self.get_id_list())
if 'patterns' in columns:
lexemes = lexemes.extra(select={
'pattern_list':
"select coalesce(string_agg(distinct w.w_id, '/'), '') "
"from wzory w join odmieniasie o on w.id = o.w_id "
"where o.l_id = leksemy.id",
})
if 'genders' in columns:
lexemes = lexemes.extra(select={
'gender_list':
"select coalesce(string_agg(distinct g.symbol, '/'), '') "
"from dictionary_gender g "
"join odmieniasie o on g.id = o.gender_id "
"where o.l_id = leksemy.id",
})
if 'vocabs' in columns:
lexemes = lexemes.extra(select={
'vocab_list':
"select coalesce(string_agg(ls.slownik, '/'), '') "
"from leksemy_w_slownikach ls "
"where ls.l_id = leksemy.id",
})
fields = [
column_translation.get(column, column) for column in columns]
for row in lexemes.values(*fields):
print >>output_file, '\t'.join(
unicode(row[field]) for field in fields)
# Zapytanie o indeks wiersza o pewnym id przy danym sortowaniu
@ajax(login_required=False, method='get')
def row_index(request, id, sort_rules, filter):
query = LexemeQuery(
filter=filter, sort_rules=sort_rules, user=request.user)
return {'index': query.row_index(id)}
@ajax(login_required=False, method='get')
def search_index(request, sort_rules, filter, search=''):
query = LexemeQuery(
filter=filter, sort_rules=sort_rules, user=request.user)
return {'index': query.search_index(search)}
@ajax(login_required=False, method='get')
def get_lexemes(request, from_page, to_page, rows, sort_rules, filter,
force_reload=False):
request.session['sort_rules'] = sort_rules
request.session['filter'] = filter
query = LexemeQuery(
filter=filter, sort_rules=sort_rules, user=request.user)
id_list = query.get_id_list(force_reload)
count = len(id_list)
start, response_rowcount = query.count_pages(from_page, to_page, rows)
sublist = id_list[start:start + response_rowcount]
lexemes_qs = prefetch(Lexeme.objects.filter(id__in=sublist))
lexemes_dict = dict((l.id, l) for l in lexemes_qs)
lexemes = [lexemes_dict[lexeme_id] for lexeme_id in sublist]
return {
'rows': query.prepare_rows(lexemes),
'count': count,
'page': from_page,
}
@ajax(login_required=False, method='get')
def search_by_form(request, sort_rules, filter, exponent):
query = LexemeQuery(
filter=filter, sort_rules=sort_rules, user=request.user)
id_list = query.get_id_list()
lexemes = query.get_queryset().filter(lexemeform__form=exponent)
rows = query.prepare_rows(lexemes)
for row in rows:
row['row'] = id_list.index(row['id'])
return {
'rows': rows,
}
def prefetch(queryset):
return queryset.select_related(
'owner_vocabulary', 'part_of_speech').prefetch_related(
'lexemeinflectionpattern_set__pattern',
'lexemeinflectionpattern_set__gender', 'vocabularies')