ajax_argument_stats.py
6.24 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
# -*- coding: utf-8 -*-
"""
This module is responsible for server side handling of argument statistics
interface.
"""
import os
import re
import codecs
from settings import PROJECT_PATH
from common.decorators import ajax, AjaxError
from dictionary.models import Lemma, Argument
FULL_LIST_PATH = os.path.join(PROJECT_PATH, 'data', 'susp-1-verbs-300M-counts.txt')
PREP_LIST_PATH = os.path.join(PROJECT_PATH, 'data', 'checked_freq_ranked_')
TEST_PATH = os.path.join(PROJECT_PATH, 'data', 'test_freq_ranked.txt')
def create_list_file(path, bucket_size):
try:
verbs_count = 0
rank = 1
lemmas_count = 0
with codecs.open(FULL_LIST_PATH, 'rt', 'utf-8') as infile:
for line in infile:
line = line.strip()
freq_pattern = re.compile(ur'^(\*\*)?[\s]*([^\s]+)[\s]*([\d]+).*$')
m = freq_pattern.match(line)
if m:
lemma_str = m.group(2).strip()
if m.group(1) or Lemma.objects.filter(entry=lemma_str,
old=False,
status__status=u'sprawdzone').count() == 0:
continue
lemmas_count += 1
rest = lemmas_count%bucket_size
buckets = lemmas_count/bucket_size
to_add = rest/buckets + 1
if to_add == 0:
to_add = 1
to_add_count = to_add
outfile = codecs.open(path, 'wt', 'utf-8')
added_rest = False
first_verb = True
with codecs.open(FULL_LIST_PATH, 'rt', 'utf-8') as infile:
for line in infile:
line = line.strip()
freq_pattern = re.compile(ur'^(\*\*)?[\s]*([^\s]+)[\s]*([\d]+).*$')
m = freq_pattern.match(line)
if m:
lemma_str = m.group(2).strip()
if m.group(1) or Lemma.objects.filter(entry=lemma_str,
old=False,
status__status=u'sprawdzone').count() == 0:
continue
verbs_count += 1
if verbs_count%bucket_size == 1 and not first_verb:
if rest > 0 and not added_rest:
rest -= 1
to_add_count -= 1
verbs_count -= 1
if to_add_count == 0:
added_rest = True
to_add_count = to_add
else:
added_rest = False
rank += 1
if first_verb:
first_verb = False
outfile.write(lemma_str + '\t' + str(rank) + '\n')
finally:
outfile.close()
infile.close()
@ajax(method='post')
def gen_list(request, form_data):
form_dict = dict((x['name'], x['value']) for x in form_data)
if not form_dict['bucket_size']:
raise AjaxError('bucket size not selected')
if not form_dict['bucket_size'].isdigit():
raise AjaxError('bucket size not digit')
bucket_size = int(form_dict['bucket_size'])
if bucket_size < 1 or bucket_size > 100:
raise AjaxError('wrong bucket size range')
create_list_file(PREP_LIST_PATH+form_dict['bucket_size'], bucket_size)
return {}
@ajax(method='post')
def prepare_graph_data(request, form_data):
args_data = []
form_dict = dict((x['name'], x['value']) for x in form_data)
if not form_dict['arguments'] and not form_dict['arg_types']:
raise AjaxError('select arguments')
if not form_dict['bucket_size']:
raise AjaxError('bucket size not selected')
if not form_dict['bucket_size'].isdigit():
raise AjaxError('bucket size not digit')
bucket_size = int(form_dict['bucket_size'])
if bucket_size < 1:
raise AjaxError('wrong bucket size range')
lemmas_count = Lemma.objects.filter(old=False,
status__status=u'sprawdzone').count()
buckets = lemmas_count/bucket_size
for arg_id in form_dict['arguments']:
arg_data = {'text_rep' : Argument.objects.get(pk=arg_id).text_rep,
'freq' : [],
'own' : [],
'sum_freq' : 0}
args_data.append(arg_data)
if form_dict['arg_types']:
for arg_obj in Argument.objects.filter(type=form_dict['arg_types']):
arg_data = {'text_rep' : arg_obj.text_rep,
'freq' : [],
'own' : [],
'sum_freq' : 0}
args_data.append(arg_data)
ranked_list_path = PREP_LIST_PATH+form_dict['bucket_size']
if not os.path.isfile(ranked_list_path):
create_list_file(ranked_list_path, bucket_size)
with codecs.open(ranked_list_path, 'rt', 'utf-8') as infile:
act_rank = 0
first_line = True
for line in infile:
line = line.strip()
freq_pattern = re.compile(ur'^([^\s]+)[\s]*([\d]+).*$')
m = freq_pattern.match(line)
if m:
add_rank = False
lemma_str = m.group(1).strip()
rank = int(m.group(2).strip())
if rank-1 > act_rank:
act_rank = rank - 1
add_rank = True
for arg in args_data:
if add_rank or first_line:
arg['freq'].append(0)
arg['own'].append(0)
lemma = Lemma.objects.get(entry=lemma_str, old=False)
lemma_args = Argument.objects.filter(text_rep=arg['text_rep'], positions__frames__lemmas__pk=lemma.pk).count()
arg['freq'][len(arg['freq'])-1] += lemma_args
arg['sum_freq'] += lemma_args
if lemma_args != 0:
arg['own'][len(arg['freq'])-1] += 1
first_line = False
args_data.sort(key=lambda x:x['sum_freq'], reverse=True)
return {'graph_data': args_data,
'xmax' : buckets}