-
Notifications
You must be signed in to change notification settings - Fork 15
/
odisha.py
176 lines (156 loc) · 6.26 KB
/
odisha.py
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
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import time
import requests
import pandas as pd
from tqdm import tqdm
from selenium import webdriver
# FIXME: Explicit delay
DELAY = 3
MAX_RETRY = 5
PDF_PATH = 'odisha_pdfs'
def download_file(url, target):
"""Download file from url and save to the target
"""
# Streaming, so we can iterate over the response.
r = requests.get(url, stream=True)
if r.status_code == 200:
chunk_size = (64 * 1024)
# Total size in bytes.
total_size = int(r.headers.get('content-length', 0)) / chunk_size
total_size += 1
with open(target, 'wb') as f:
for data in tqdm(r.iter_content(chunk_size), total=total_size,
unit_scale=chunk_size/1024, unit='KB'):
f.write(data)
return True
else:
print("ERROR: status_code={0:d}".format(r.status_code))
return False
def download_pdf(url, type_, dist_no, ac_no, part_no):
pdf_fn = '{0:s}_{1:02d}_{2:03d}_{3:03d}.pdf'.format(type_, int(dist_no),
int(ac_no),
int(part_no))
pdf_path = os.path.join(PDF_PATH, pdf_fn)
if not os.path.exists(pdf_path):
retry = 0
while retry < MAX_RETRY:
try:
download_file(url, pdf_path)
break
except Exception as e:
print("WARN: {0!s}".format(e))
print("Retry again in 5s...")
retry += 1
time.sleep(5)
return pdf_path
def scrape_odisha():
"""Scrape Electoral Rolls for Odisha
Download and save all PDF files and out the metadata to odisha.csv with
the following columns:-
district_number, district_name, ac_name, ac_number, part_name,
part_number, type_of_roll (service voter or eroll), filename
"""
rows = []
saved_di = 1
saved_ai = 1
saved_pi = 1
driver = None
while True:
try:
# Please make sure phantomjs executable available in the PATH.
driver = webdriver.PhantomJS()
driver.get("http://election.ori.nic.in/odishaceo/ViewEroll.aspx")
di = saved_di
while True:
dist_options = driver.find_elements_by_xpath("//select[@id='ddlDistrict']/option")
if di == len(dist_options):
break
dist_opt = dist_options[di]
dist_txt = dist_opt.text
dist_a = dist_txt.split('-')
dist_name = '-'.join(dist_a[1:])
data = {'district_number': dist_a[0],
'district_name': dist_name}
dist_opt.click()
time.sleep(DELAY)
ai = saved_ai
while True:
ac_options = driver.find_elements_by_xpath("//select[@id='ddlAC']/option")
if ai == len(ac_options):
saved_ai = 1
break
ac_opt = ac_options[ai]
ac_txt = ac_opt.text
ac_a = ac_txt.split('-')
data['ac_number'] = ac_a[0]
data['ac_name'] = '-'.join(ac_a[1:])
ac_opt.click()
time.sleep(DELAY)
pi = saved_pi
while True:
xpath = "//select[@id='ddlPart']/option"
part_options = driver.find_elements_by_xpath(xpath)
if pi == len(part_options):
saved_pi = 1
break
part_opt = part_options[pi]
part_txt = part_opt.text
print("Downloading...{0:s} / {1:s} / {2:s}"
.format(dist_txt, ac_txt, part_txt))
part_a = part_txt.split('-')
data['part_number'] = part_a[0]
data['part_name'] = '-'.join(part_a[1:])
part_opt.click()
time.sleep(DELAY)
xpath = "//a[@id='hlDrafteroll']"
eroll = driver.find_element_by_xpath(xpath)
url = eroll.get_attribute('href')
fn = download_pdf(url, 'eroll', dist_a[0],
ac_a[0], part_a[0])
data['type_of_roll'] = 'eroll'
data['file_name'] = fn
rows.append(data.copy())
# FIXME: get only first PDF link of Service voter
# It's same for all parts.
if pi == 1:
xpath = "//a[@id='hlServicevoter']"
service = driver.find_element_by_xpath(xpath)
url = service.get_attribute('href')
fn = download_pdf(url, 'service', dist_a[0],
ac_a[0], part_a[0])
data['type_of_roll'] = 'service'
data['file_name'] = fn
rows.append(data.copy())
pi += 1
#break
ai += 1
#break
di += 1
#break
driver.quit()
break
except Exception as e:
if driver:
try:
driver.quit()
except:
pass
saved_di = di
saved_ai = ai
saved_pi = pi
print("WARN: {0!s}".format(e))
time.sleep(5)
df = pd.DataFrame(rows)
print("Writing the metadata to CSV file...")
df.to_csv('odisha.csv', columns=['district_number', 'district_name',
'ac_name', 'ac_number', 'part_name',
'part_number', 'type_of_roll',
'file_name'], index=False,
encoding='utf-8')
print("Done!")
if __name__ == "__main__":
if not os.path.exists(PDF_PATH):
os.makedirs(PDF_PATH)
scrape_odisha()