def write_text(wid):
try:
last_indexed_value = open(os.path.join(
DATA_DIR, 'last_indexed.txt')).read().strip()
except IOError:
last_indexed_value = '2000-01-01T12:00:00.000Z'
text_dir = os.path.join(DATA_DIR, 'text', str(wid))
query = 'wid:%s AND iscontent:true' % str(wid)
if last_indexed:
query += ' AND indexed:["%s" TO *]' % last_indexed_value
qi = QueryIterator(get_config(), {
'query': query,
'fields': 'pageid, html_en, indexed',
'sort': 'pageid asc'
})
print 'Writing text from %s to file...' % str(wid)
for doc in qi:
pageid = doc['pageid']
text = '\n'.join(clean_list(doc.get('html_%s' % language, '')))
last_indexed_value = max(last_indexed_value, doc.get('indexed'))
text_subdir = os.path.join(text_dir, str(pageid)[0])
if not os.path.exists(text_subdir):
os.makedirs(text_subdir)
text_filepath = os.path.join(text_subdir, str(pageid))
with open(text_filepath, 'w') as text_file:
text_file.write(text)
with open(os.path.join(DATA_DIR, 'last_indexed.txt'),
'w') as last_indexed_file:
last_indexed_file.write(last_indexed_value)
return text_dir
def write_files(wid):
filepath = os.path.join('html_en', str(wid))
if not os.path.exists(filepath):
os.makedirs(filepath)
qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % str(wid), 'fields': 'pageid, html_en', 'sort': 'id asc'})
for doc in qi:
print 'extracting words for %i_%i...' % (wid, doc['pageid'])
page_file = GzipFile(os.path.join(filepath, '%s.gz' % doc['pageid']), 'w', compresslevel=9)
page_file.write(doc.get('html_en', '').lower().encode('utf-8'))
page_file.close()
def write_files(wid):
filepath = os.path.join('html_en', str(wid))
if not os.path.exists(filepath):
os.makedirs(filepath)
qi = QueryIterator(
get_config(), {
'query': 'wid:%s AND iscontent:true' % str(wid),
'fields': 'pageid, html_en',
'sort': 'id asc'
})
for doc in qi:
print 'extracting words for %i_%i...' % (wid, doc['pageid'])
page_file = GzipFile(os.path.join(filepath, '%s.gz' % doc['pageid']),
'w',
compresslevel=9)
page_file.write(doc.get('html_en', '').lower().encode('utf-8'))
page_file.close()
def extract_words(self, wid):
"""Updates db with previously unseen words and lemmas, and page unigrams"""
words_file = gzip.open(self.words_file, 'a')
page_file = gzip.open(os.path.join(self.wiki_filepath, '%i.gz' % wid), 'w')
w = WordPunctTokenizer()
qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % str(wid), 'fields': 'id, wid, pageid, html_en', 'sort': 'id asc'})
print 'starting extraction for wiki %s...' % str(wid)
for doc in qi:
print 'extracting words for %s...' % doc['id']
page_file.write('\t%s\n' % doc['pageid'])
for word in w.tokenize(doc.get('html_en', '').lower()):
if word not in self.words:
self.words[word] = self.counter
words_file.write('%i\t%s\n' % (self.counter, word.encode('utf-8')))
self.counter += 1
page_file.write('%i\n' % self.words.get(word, 0))
page_file.close()
words_file.close()
def write_batch_files(self):
qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % self.wid, 'fields':'id,url,html_en', 'sort': 'id asc'})
doc_count = 0
batch_count = 0
for doc in qi:
if doc_count % 100 == 0:
batch_count += 1
filepath = os.path.join(self.tempdir, str(batch_count))
if not os.path.exists(filepath):
os.makedirs(filepath)
text = normalize(as_string(doc.get('html_en', '')))
if text != '':
print 'writing %s to %s' % (doc['id'], filepath)
output_file = open(os.path.join(filepath, doc['id']), 'w')
output_file.write(text.encode('utf-8'))
output_file.close()
doc_count += 1
def write_batch_files():
qi = QueryIterator(get_config(), {'query': "wid:298117 AND -title_en:\"File:IGN Weekly 'Wood\" is_video:true", 'fields': 'id,title_en,video_description_txt,video_keywords_txt,video_actors_txt,video_tags_txt,video_genres_txt'})
doc_count = 0
batch_count = 0
#tempdir = tempfile.mkdtemp()
tempdir = '/home/tristan/temp/video'
for doc in qi:
if doc_count % 100 == 0:
batch_count += 1
filepath = os.path.join(tempdir, str(batch_count))
if not os.path.exists(filepath):
os.makedirs(filepath)
#no_parse = []
#for field in [u'video_keywords_txt', u'video_tags_txt', u'video_actors_txt', u'video_genres_txt']:
# for tag in doc.get(field, []):
# no_parse.append(tag)
#text = '\t'.join(list(set(no_parse))) + '\n'
#for field in [u'title_en', u'video_description_txt']:
# val = doc.get(field, None)
# if val:
# text += as_string(val)
fields = []
for field in doc:
if field != u'id':
val = doc.get(field, None)
if val:
fields.append(as_string(doc[field]))
text = '.\n'.join(fields)
print text
output_file = open(os.path.join(filepath, doc[u'id']), 'w')
output_file.write(text.encode('utf-8'))
output_file.close()
doc_count += 1
return tempdir
def write_batch_files(self):
qi = QueryIterator(
get_config(), {
'query': 'wid:%s AND iscontent:true' % self.wid,
'fields': 'id,url,html_en',
'sort': 'id asc'
})
doc_count = 0
batch_count = 0
for doc in qi:
if doc_count % 100 == 0:
batch_count += 1
filepath = os.path.join(self.tempdir, str(batch_count))
if not os.path.exists(filepath):
os.makedirs(filepath)
text = normalize(as_string(doc.get('html_en', '')))
if text != '':
print 'writing %s to %s' % (doc['id'], filepath)
output_file = open(os.path.join(filepath, doc['id']), 'w')
output_file.write(text.encode('utf-8'))
output_file.close()
doc_count += 1
def write_text(wid):
try:
last_indexed_value = open(os.path.join(DATA_DIR, 'last_indexed.txt')).read().strip()
except IOError:
last_indexed_value = '2000-01-01T12:00:00.000Z'
text_dir = os.path.join(DATA_DIR, 'text', str(wid))
query = 'wid:%s AND iscontent:true' % str(wid)
if last_indexed:
query += ' AND indexed:["%s" TO *]' % last_indexed_value
qi = QueryIterator(get_config(), {'query': query, 'fields': 'pageid, html_en, indexed', 'sort': 'pageid asc'})
print 'Writing text from %s to file...' % str(wid)
for doc in qi:
pageid = doc['pageid']
text = '\n'.join(clean_list(doc.get('html_%s' % language, '')))
last_indexed_value = max(last_indexed_value, doc.get('indexed'))
text_subdir = os.path.join(text_dir, str(pageid)[0])
if not os.path.exists(text_subdir):
os.makedirs(text_subdir)
text_filepath = os.path.join(text_subdir, str(pageid))
with open(text_filepath, 'w') as text_file:
text_file.write(text)
with open(os.path.join(DATA_DIR, 'last_indexed.txt'), 'w') as last_indexed_file:
last_indexed_file.write(last_indexed_value)
return text_dir
import sys, json, requests, re
import time #test
from nltk.tokenize import PunktSentenceTokenizer
from nltk.corpus import stopwords
from WikiaSolr import QueryIterator, get_config, as_string, expand_entities, WikiaDomainLoader
from WikiaSolr.StanfordParser import ParserService
import codecs
wid = sys.argv[1]
qi = QueryIterator(get_config(), {
'query': 'wid:%s AND iscontent:true' % wid,
'fields': 'id,url,html_en'
})
#qi = QueryIterator(get_config(), {'query': 'id:3125_199499', 'fields':'id,url,html_en' })
#qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % wid, 'filterquery': 'views:[3500000 TO *]', 'fields':'id,url,html_en,views' }) #test
service = ParserService()
config = json.loads("".join(open('worker-config.json').readlines()))
host = config["common"]["solr_endpoint"]
entities = {}
confirmed_entities = {}
p = PunktSentenceTokenizer()
doc_count = 0
bullet1 = '\xe2\x80\xa2'.decode('utf-8')
bullet2 = '\xc2\xb7'.decode('utf-8')
from nltk.tokenize.punkt import PunktSentenceTokenizer
from WikiaSolr import QueryIterator, get_config
from normalize import not_infobox
from time import time
start_time = time()
wid = sys.argv[1]
TOP_N = 5
def remove_newlines(text):
if '\n' in text:
return ' '.join([line for line in text.split('\n') if '.' in line])
return text
qi = QueryIterator(get_config(), {'query': 'wid:%s AND confirmed_entities_txt:*' % wid, 'fields': 'id,url,html_en,confirmed_entities_txt'})
for doc in qi:
entity_tally = defaultdict(int)
confirmed_entities = [entity.lower() for entity in doc.get('confirmed_entities_txt', [])]
html = urllib2.urlopen(doc['url']).read()
soup = BeautifulSoup(html)
text = ' '.join([p.text for p in soup.find_all('p')])
sentences = filter(not_infobox, [remove_newlines(sentence) for sentence in PunktSentenceTokenizer().tokenize(text)])
for (i, sentence) in enumerate(sentences):
lowercase = sentence.lower()
for entity in confirmed_entities:
if entity in lowercase:
entity_tally[i] += 1
if not entity_tally:
summary = ' '.join(sentences[:TOP_N]).encode('utf-8')
from time import time
start_time = time()
wid = sys.argv[1]
TOP_N = 5
def remove_newlines(text):
if '\n' in text:
return ' '.join([line for line in text.split('\n') if '.' in line])
return text
qi = QueryIterator(
get_config(), {
'query': 'wid:%s AND confirmed_entities_txt:*' % wid,
'fields': 'id,url,html_en,confirmed_entities_txt'
})
for doc in qi:
entity_tally = defaultdict(int)
confirmed_entities = [
entity.lower() for entity in doc.get('confirmed_entities_txt', [])
]
html = urllib2.urlopen(doc['url']).read()
soup = BeautifulSoup(html)
text = ' '.join([p.text for p in soup.find_all('p')])
sentences = filter(not_infobox, [
remove_newlines(sentence)
for sentence in PunktSentenceTokenizer().tokenize(text)
import sys, re, json, requests
from operator import itemgetter
from WikiaSolr import QueryIterator, get_config
wid = sys.argv[1]
config = json.loads(''.join(open('worker-config.json').readlines()))
host = config['common']['solr_endpoint']
qi = QueryIterator(get_config(), {'query': 'wid:%s AND suspected_entities_txt:*' % wid, 'fields': 'id,suspected_entities_txt,confirmed_entities_txt'})
#qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % wid, 'fields': 'id,suspected_entities_txt,confirmed_entities_txt', 'filterquery': 'views:[2000000 TO *]'})
suspected_entities = {}
confirmed_entities = {}
def hasalpha(string):
import string as s
if string:
for letter in s.lowercase:
if letter in string:
return True
return False
def normalize(string):
string = re.sub(u'[^\w\s]|_', u' ', string.lower())
string = re.sub(u' {2,}', u' ', string)
return string.strip()
count = 0
for doc in qi:
import sys, json, requests, re
import time #test
from nltk.tokenize import PunktSentenceTokenizer
from nltk.corpus import stopwords
from WikiaSolr import QueryIterator, get_config, as_string, expand_entities, WikiaDomainLoader
from WikiaSolr.StanfordParser import ParserService
import codecs
wid = sys.argv[1]
qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % wid, 'fields':'id,url,html_en' })
#qi = QueryIterator(get_config(), {'query': 'id:3125_199499', 'fields':'id,url,html_en' })
#qi = QueryIterator(get_config(), {'query': 'wid:%s AND iscontent:true' % wid, 'filterquery': 'views:[3500000 TO *]', 'fields':'id,url,html_en,views' }) #test
service = ParserService()
config = json.loads("".join(open('worker-config.json').readlines()))
host = config["common"]["solr_endpoint"]
entities = {}
confirmed_entities = {}
p = PunktSentenceTokenizer()
doc_count = 0
bullet1 = '\xe2\x80\xa2'.decode('utf-8')
bullet2 = '\xc2\xb7'.decode('utf-8')
start_time = time.time()