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
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
|
# -*- coding: utf-8 -*-
# YAML-tagger:
# Type: university
# Status: unfinished
# Name: Universitetet i Tromsø
# Format: PDF/HTML
# Datatype: ePhorte
# Vendor: Ergo
# Run: daily
# Missingfields: docdate journalseqnr journalyear journalid
#
# The PDF/ePhorte scraper is done, but the new HTML format is not yet
# handled. The HTML version is missing docdate, journalseqnr,
# journalyear, journalid.
import scraperwiki
import json
import datetime
import dateutil.parser
import lxml.html
import resource
import sys
import urlparse
import re
# Make sure Scraperwiki believe this is the source from this database
scraperwiki.scrape("http://uit.no/om/offjour")
lazycache=scraperwiki.swimport('lazycache')
postlistelib=scraperwiki.swimport('postliste-python-lib')
agency = u'Universitetet i Tromsø'
def report_errors(errors):
if 0 < len(errors):
print "Errors:"
for e in errors:
print e
raise ValueError("Something went wrong")
def out_of_cpu(arg, spent, hard, soft):
report_errors(arg)
def process_pdf(parser, pdfurl, errors):
postlistelib.exit_if_no_cpu_left(0, out_of_cpu, errors)
try:
pdfcontent = scraperwiki.scrape(pdfurl)
parser.preprocess(pdfurl, pdfcontent)
pdfcontent = None
except ValueError, e:
errors.append(e)
except IndexError, e:
errors.append(e)
def process_page_queue(parser, errors):
try:
parser.process_pages()
postlistelib.exit_if_no_cpu_left(0, out_of_cpu, errors)
except scraperwiki.CPUTimeExceededError, e:
errors.append("Processing pages interrupted")
def process_journal_pdfs(parser, listurl, errors):
# print "Finding PDFs on " + listurl
# u = urllib.parse.urlparse(listurl)
html = scraperwiki.scrape(listurl)
root = lxml.html.fromstring(html)
html = None
for ahref in root.cssselect("div.nyhArtikkel a"):
href = ahref.attrib['href']
url = urlparse.urljoin(listurl, href)
if -1 != href.find("file://") or -1 == url.find(".pdf"):
# print "Skipping non-http URL " + url
continue
if parser.is_already_scraped(url):
True
# print "Skipping already scraped " + url
else:
# print "Will process " + url
process_pdf(parser, url, errors)
def newlinetocomma(str):
return re.sub('\r\n\s*', ', ', str)
def fetch_postjournal_day(parser, url, html, saver):
root = lxml.html.fromstring(html)
# print html
count = None
for h2 in root.cssselect("h2"):
header = h2.text_content().strip()
matchObj = re.match( r'Søkeresultat \((\d+)\)$', header, re.M|re.I)
if matchObj:
count = int(matchObj.group(1))
break
datastore = []
for table in root.cssselect("table[summary='Offentlig journal dokumenter']"):
# print table.text_content()
cells = table.cssselect("th,td")
i = 0
entrydata= {}
while i < len(cells) - 1:
field = cells[i].text_content().strip(' \n\t\r')
value = cells[i+1].text_content().strip(' \n\t\r')
entrydata[field] = value
i = i + 1
# print entrydata
recorddate = dateutil.parser.parse(entrydata['Journaldato:'].strip(), dayfirst=True)
docdesc = entrydata['Beskrivelse:'].strip()
casedesc = entrydata['Sakstittel:']
doctype = entrydata['Dokument type:']
if not parser.is_valid_doctype(doctype):
doctype = {
'S' : 'X',
}[doctype]
saksbehandler = entrydata['Saksbehandler:'].strip()
saksansvarlig = entrydata['Ansvarlig:'].strip()
arkivsaksref = entrydata['Journalpost:']
caseyear = 0
caseseqnr = 0
casedocseq = 0
caseid = 'unknown'
matchObj = re.match( r'(\d+)/(\d+)-(\d+)$', arkivsaksref, re.M|re.I)
if matchObj:
caseyear = matchObj.group(1)
caseseqnr = matchObj.group(2)
casedocseq = matchObj.group(3)
caseid = str(caseyear) + "/" + str(caseseqnr)
else:
print "error: invalid Arkivsaksnr: " + arkivsaksref
raise Exception("Unable to parse %s" % url)
exemption = None
if 'Gradering:' in entrydata:
exemption = entrydata['Gradering:']
data = {
'agency' : parser.agency,
'recorddate' : recorddate.date(),
# 'docdate' : docdate.date(),
'docdesc' : docdesc,
'casedesc' : casedesc,
'caseyear' : int(caseyear),
'caseseqnr' : int(caseseqnr),
'casedocseq' : int(casedocseq),
'caseid' : caseid,
'doctype' : doctype,
# 'journalseqnr' : int(journalseqnr),
# 'journalyear' : int(journalyear),
# 'journalid' : journalid,
'saksbehandler' : saksbehandler,
'saksansvarlig' : saksansvarlig.strip(),
# 'saksansvarligenhet' : saksansvarligenhet.strip(),
'arkivsaksref' : arkivsaksref,
# 'laapenr' : laapenr,
'scrapedurl' : url,
'scrapestamputc' : datetime.datetime.now()
}
if 'Fra:' in entrydata:
sender = newlinetocomma(entrydata['Fra:'])
if sender != '**** **** **** ****':
data['sender'] = sender
if 'Til:' in entrydata:
recipient = newlinetocomma(entrydata['Til:'])
if recipient != '**** **** **** ****':
data['recipient'] = recipient
if exemption is not None:
data['exemption'] = exemption
print data
parser.verify_entry(data)
datastore.append(data)
# If paging were done here and not in find_day_urls
# if count != len(datastore):
# raise ValueError("Unable to find all entries on %s, found %d of %d" % (url, len(datastore), count))
saver(unique_keys=['arkivsaksref'], data=datastore)
def find_day_urls(parser, year):
urls=[]
for month in range(12+1):
url="http://uit.no/samfunn/offjour/count?year=%d&month=%d" % (year, month)
jsonres = scraperwiki.scrape(url)
res = json.loads(jsonres)
# print res
for daystr in res['month']:
count = int(res['month'][daystr])
if count > 0:
matchObj = re.match( r'day(\d+)$', daystr, re.M|re.I)
if matchObj:
day = int(matchObj.group(1))
# print year, month, day, res['month'][daystr]
nordatestr = "%02d.%02d.%d" % (day, month, year)
htmlpagesize=100
for page in range(int((count-1) / htmlpagesize)+1):
url="http://uit.no/samfunn/offjour?elementsprpage=%d&pageindex=%d&uitgyldigfra=%s&uitgyldigtil=%s&searchtitle=&searchinnhold=" % (htmlpagesize, page+1, nordatestr, nordatestr)
if not parser.is_already_scraped(url):
urls.append(url)
else:
raise ValueError("Unable to parse day string '%s'" % daystr)
return urls
def saver(unique_keys, data):
# print "Not saving data"
# return
scraperwiki.sqlite.save(unique_keys, data)
def test_small_pdfs(parser):
# Test with some smaller PDFs
errors = []
process_pdf(parser, "http://uit.no/Content/382902/Januar%202011.pdf", errors)
process_page_queue(parser, errors)
report_errors(errors)
exit(0)
errors = []
parser = postlistelib.PDFJournalParser(agency=agency)
#test_small_pdfs(parser)
process_page_queue(parser, errors)
process_journal_pdfs(parser, "http://uit.no/om/enhet/artikkel?p_document_id=382893&p_dimension_id=88216", errors)
urls = []
urls.extend(find_day_urls(parser, 2013))
urls.extend(find_day_urls(parser, 2014))
urls.extend(find_day_urls(parser, 2015))
for url in urls:
html = scraperwiki.scrape(url).decode('utf-8')
fetch_postjournal_day(parser, url, html, saver=saver)
report_errors(errors)
|
