def main():
args = parser.parse_args()
if not args.ignore_index and os.path.isfile(args.index):
with open(args.index, 'r') as f:
lines = f.readlines()
lines = [line.strip() for line in lines]
lines = [line for line in lines if line]
else:
lines = []
if args.url in lines:
print "EXISTENT"
return 0
try:
content = webarticle2text.extractFromURL(args.url)
content = process_content(content)
except Exception as e:
log(args.log, args.url + ": Exception " + str(e.__class__))
log(args.log, e.message)
log(args.log, traceback.format_exc())
print "FAIL"
return 1
if len(content) < 200:
log(args.log, args.url + ": Invalid content")
print "FAIL"
return 2
try:
m = re.match('(?:https?://)?(?:www\.)?(.+?)\..*$', args.url)
source = m.groups()[0]
# Post-process the content
with open(args.output, 'a') as f:
f.write('{' + os.linesep)
f.write(' "tag": "{}",'.format(args.tag.upper()) + os.linesep)
f.write(' "content": "{}",'.format(content) + os.linesep)
f.write(' "source": "{}",'.format(source) + os.linesep)
f.write(' "url": "{}"'.format(args.url) + os.linesep)
f.write('},' + os.linesep)
log(args.log, args.url + ": Data written")
if not args.ignore_index:
ensure_directory(args.index)
with open(args.index, 'a+') as f:
f.write(args.url + os.linesep)
print "SUCCESS"
return 0
except Exception as e:
log(
args.log, args.url + ": Can't write file due to Exception " +
str(e.__class__))
log(args.log, args.url + ": " + e.message)
log(args.log, args.url + ": " + traceback.format_exc())
print "FAIL"
return 1
def main():
args = parser.parse_args()
if not args.ignore_index and os.path.isfile(args.index):
with open(args.index, 'r') as f:
lines = f.readlines()
lines = [line.strip() for line in lines]
lines = [line for line in lines if line]
else:
lines = []
if args.url in lines:
print "EXISTENT"
return 0
try:
content = webarticle2text.extractFromURL(args.url)
content = process_content(content)
except Exception as e:
log(args.log, args.url + ": Exception " + str(e.__class__))
log(args.log, e.message)
log(args.log, traceback.format_exc())
print "FAIL"
return 1
if len(content) < 200:
log(args.log, args.url + ": Invalid content")
print "FAIL"
return 2
try:
m = re.match('(?:https?://)?(?:www\.)?(.+?)\..*$', args.url)
source = m.groups()[0]
# Post-process the content
with open(args.output, 'a') as f:
f.write('{' + os.linesep)
f.write(' "tag": "{}",'.format(args.tag.upper()) + os.linesep)
f.write(' "content": "{}",'.format(content) + os.linesep)
f.write(' "source": "{}",'.format(source) + os.linesep)
f.write(' "url": "{}"'.format(args.url) + os.linesep)
f.write('},' + os.linesep)
log(args.log, args.url + ": Data written")
if not args.ignore_index:
ensure_directory(args.index)
with open(args.index, 'a+') as f:
f.write(args.url + os.linesep)
print "SUCCESS"
return 0
except Exception as e:
log(args.log, args.url + ": Can't write file due to Exception " + str(e.__class__))
log(args.log, args.url + ": " + e.message)
log(args.log, args.url + ": " + traceback.format_exc())
print "FAIL"
return 1
def fetch(url):
#request = urllib2.Request(url)
#f = urllib2.urlopen(request)
articles.append(webarticle2text.extractFromURL(url, timeout=60))
articleURLs.append(url)
print(articleURLs[len(articleURLs) - 1])
print(articles[len(articles) - 1])
#f.close()
print "\r" + str(len(articles)) + " / " + str(len(results)) + " articles crawled to.",
sys.stdout.flush()
def startanalyzing():
file_path=open("output/uri_list.txt","r")
url = file_path.readline()
while url:
try:
data = webarticle2text.extractFromURL(url)
except Exception:
#print "[$]Unable to fetch url :"+url
time.sleep(2)
#clear(0)
text = nltk.word_tokenize(data)
tagged_data = nltk.pos_tag(text)
grammar = "NP: {<DT>?<JJ>*<NN>}"
cp = nltk.RegexpParser(grammar)
result_tree=cp.parse(tagged_data)
pairs = relextract.mk_pairs(result_tree)
reldicts = relextract.mk_reldicts(pairs)
loop=0
while loop < len(reldicts):
for k,v in reldicts[loop].items():
#print k, '=>', v
if k == "objsym":
objsym = v
objsym=removeNonAscii(objsym)
if k == "subjsym":
subjsym = v
subjsym=removeNonAscii(subjsym)
if k == "lcon":
lcon = v
lcon = ((re.sub('/[A-Z]+','',lcon)).replace(",/,","")).replace("'","")
lcon=removeNonAscii(lcon)
if k == "filler":
filler = v
filler = ((re.sub('/[A-Z]+','',filler)).replace(",/,","")).replace("'","")
filler=removeNonAscii(filler)
if k == "rcon":
rcon = v
rcon = ((re.sub('/[A-Z]+','',rcon)).replace(",/,","")).replace("'","")
rcon=removeNonAscii(rcon)
if len(subjsym) > 4 and len(lcon) > 4 and len(rcon) > 4 and len(filler) > 4:
update_db(url,objsym,subjsym,lcon,filler,rcon)
loop+=1
url = file_path.readline()
def retrieve_article_content(self, force=False):
import webarticle2text
if self.article_content and not force:
return
self.article_content = webarticle2text.extractFromURL(
self.link,
only_mime_types=conf.GET_ARTICLE_CONTENT_ONLY_MIME_TYPES,
ignore_robotstxt=True,
userAgent=ua.random)
self.article_content_error_code = None
self.article_content_error_reason = None
self.article_content_success = bool((self.article_content or '').strip())
self.article_content_error = None
self.save()
def collect_with_feedzilla():
news = Feedzilla.collect()
for n in news:
cluster = Cluster()
cluster.display_name = n["title"]
cluster.relevancy = 1.0 / n["search_place"] * 100
cluster.topic = Topic.objects.get(short_name=str(n["topic"]))
cluster.date = format_date(n["publish_date"])
cluster.save()
if (n["check_url"]):
try:
cluster_content = extractFromURL(n["url"])
cluster_countries = Placemaker.get_countries_from_string(
cluster_content)
for country in cluster_countries:
try:
l = Location.objects.get(name=country)
except Location.DoesNotExist:
l = Location()
l.name = country
l.save()
cluster.location.add(l)
cluster_continents = Placemaker.get_continents_from_countries(
cluster_countries)
for continent in cluster_continents:
try:
c = Continent.objects.get(name=continent)
except Continent.DoesNotExist:
c = Continent()
c.name = continent
c.save()
cluster.continent_location.add(c)
except TypeError:
print "webarticle2text Error"
a = Article()
a.title = n["title"]
a.url = n["url"]
a.publisher = n["source"]
a.content = n["summary"][:999]
a.published_date = format_date(n["publish_date"])
a.cluster = cluster
a.save()
def scrape_hn(hn_url):
parser = feedparser.parse(hn_url)
for entry in parser.entries:
url = entry.link
_id = md5.md5(url).hexdigest()
title = entry.title
try:
body = webarticle2text.extractFromURL(url)
wordcount = len(body.split(" "))
except:
wordcount = -1
coll.update(
{"_id": _id},
{"$set": {"title": title,
"wordcount": wordcount}},
upsert = True)
print 'Added url %s' % url
def collect_with_feedzilla():
news = Feedzilla.collect()
for n in news:
cluster = Cluster()
cluster.display_name = n["title"]
cluster.relevancy = 1.0 / n["search_place"] * 100
cluster.topic = Topic.objects.get(short_name=str(n["topic"]))
cluster.date = format_date(n["publish_date"])
cluster.save()
if n["check_url"]:
try:
cluster_content = extractFromURL(n["url"])
cluster_countries = Placemaker.get_countries_from_string(cluster_content)
for country in cluster_countries:
try:
l = Location.objects.get(name=country)
except Location.DoesNotExist:
l = Location()
l.name = country
l.save()
cluster.location.add(l)
cluster_continents = Placemaker.get_continents_from_countries(cluster_countries)
for continent in cluster_continents:
try:
c = Continent.objects.get(name=continent)
except Continent.DoesNotExist:
c = Continent()
c.name = continent
c.save()
cluster.continent_location.add(c)
except TypeError:
print "webarticle2text Error"
a = Article()
a.title = n["title"]
a.url = n["url"]
a.publisher = n["source"]
a.content = n["summary"][:999]
a.published_date = format_date(n["publish_date"])
a.cluster = cluster
a.save()
def scrape_reddit():
docs = reddit.Reddit(user_agent='app').get_front_page(limit=250)
for item in docs:
url = item.url
_id = md5.md5(url).hexdigest()
title = item.title
try:
body = webarticle2text.extractFromURL(url)
wordcount = len(body.split(" "))
except:
wordcount = -1
coll.update(
{"_id": _id},
{"$set": {"title": title,
"wordcount": wordcount,
"url": url}},
upsert = True)
print 'Added url %s' % url
def scrape_hn(hn_url):
parser = feedparser.parse(hn_url)
for entry in parser.entries:
url = entry.link
_id = md5.md5(url).hexdigest()
title = entry.title
try:
body = webarticle2text.extractFromURL(url)
wordcount = len(body.split(" "))
except:
wordcount = -1
coll.update({"_id": _id},
{"$set": {
"title": title,
"wordcount": wordcount
}},
upsert=True)
print 'Added url %s' % url
def getSentimentOfArticle(articleURL, articleNumber, sentimentsFileName, dateToSearch, mutex_writefile):
tries = 0
sentiment = ""
print "\tArticle #" + str(articleNumber) + " for date " + dateToSearch.strftime("%m/%d/%Y") + " being analyzed..."
while (tries < MAX_TRIES):
try:
sentiment = sentimentToNumber(datum_box.sentiment_analysis(webarticle2text.extractFromURL(articleURL)))
break;
except socket.timeout:
print("\t ^^Article #" + str(articleNumber) + " timed out " + str(tries + 1) + " time(s)...")
tries = tries + 1
if ( tries == MAX_TRIES):
return
mutex_writefile.acquire()
sentimentsFile = open(sentimentsFileName, 'a')
sentimentsFile.write(articleURL + seperator)
sentimentsFile.write(dateToSearch.strftime("%m/%d/%Y") + seperator)
sentimentsFile.write(sentiment);
sentimentsFile.write("\n")
sentimentsFile.close()
mutex_writefile.release()
def scrape_reddit():
docs = reddit.Reddit(user_agent='app').get_front_page(limit=250)
for item in docs:
url = item.url
_id = md5.md5(url).hexdigest()
title = item.title
try:
body = webarticle2text.extractFromURL(url)
wordcount = len(body.split(" "))
except:
wordcount = -1
coll.update(
{"_id": _id},
{"$set": {
"title": title,
"wordcount": wordcount,
"url": url
}},
upsert=True)
print 'Added url %s' % url
import webarticle2text
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
baseUrl = 'http://www.mrqe.com'
o = DictWriter(
open("/home/ashwin/WorkBench/Dreams/ML/Scrapy/tutorial/review_text.csv",
'w'), ["Original_Title", "critic", "link", "text"])
o.writeheader()
with open('/home/ashwin/WorkBench/Dreams/ML/Scrapy/tutorial/reviews.json',
'r') as f:
data = json.load(f)
for idx, item in enumerate(data):
if item['links']:
try:
text = webarticle2text.extractFromURL(item['links'])
if text:
o.writerow({
'Original_Title': item['Original_Title'],
'link': item['links'],
'text': text,
'critic': item['critic'],
})
except:
print(
json.dumps(item,
sort_keys=True,
indent=2,
separators=(',', ': ')))
print(idx, item['links'], " Unexpected error:",
sys.exc_info()[0])
def final_tuples(self):
id_list = self.return_unique_ids()
for artl in self.artl_json:
if "embersId" in artl:
artl_id = artl["embersId"]
else:
artl_id = artl["embers_id"]
if artl_id in id_list:
id_list.remove(artl_id)
else:
continue
if artl[u'location'][u'country'] not in self.country_list:
continue
latitude_num = float(artl[u'location'][u'lat'])
try:
longitude_num = float(artl[u'location'][u'lng'])
except Exception:
longitude_num = float(artl[u'location'][u'lon'])
artl_dt = dtparse(artl['date']).date()
if artl_dt < self.timestamp[0] or artl_dt >= self.timestamp[len(self.timestamp) - 1]:
continue
try:
finalURL = (urlopen(artl['link'])).geturl()
article_source = urlparse.urlparse(finalURL).netloc
articleprovince = list(locationcls.lookup_city(latitude_num, longitude_num, 360.)[0])[2]
articlecountry = list(locationcls.lookup_city(latitude_num, longitude_num, 360.)[0])[1]
except Exception:
continue
if 'BasisEnrichment' not in artl:
try:
content_web = webarticle2text.extractFromURL(finalURL)
except Exception:
content_web = ""
content_descr = artl['descr']
tokens = nltk.word_tokenize(content_descr)
try:
tokens_1 = nltk.word_tokenize(content_web)
for word in tokens_1:
tokens.append(word)
except Exception:
tokens_1 = []
else:
POS_list = ["DIG", "PUNCT", "SYM", "SENT", "CM"]
if not(not(artl['BasisEnrichment']['tokens'])):
tokenlist = artl['BasisEnrichment']['tokens']
for element in tokenlist:
if element['POS'] not in POS_list:
tokens.append(element['value'])
token_filtered = []
token_normalized = []
for a in xrange(len(self.timestamp) - 1):
if self.timestamp[a] <= artl_dt < self.timestamp[a + 1]:
timestampindex = self.start_ind + a
break
for word in tokens:
word_split = re.split('(\W+)', word)
if len(word_split) == 1:
if len(word_split[0]) > 2 and len(word_split[0]) < 15:
token_filtered.append(word)
else:
continue
elif (len(word_split) == 3 and word_split[2] == '' and len(word_split[0]) > 2 and len(word_split[0]) < 15):
token_filtered.append(word_split[0])
for word in token_filtered:
try:
if not self.contains_digits(word) and word not in self.stop_words:
token_normalized.append(utils.normalize_str(word))
except Exception:
continue
token_unique = list(set(token_normalized))
for word in token_unique:
self.final_dict[(word, (articleprovince, articlecountry), article_source, timestampindex)] += token_normalized.count(word)
return
import webarticle2text
print webarticle2text.extractFromURL("http://sanguoshaenglish.blogspot.com/2010/07/liu-bei.html")
import webarticle2text
import sys
with open('HOCTranscriptURL.txt') as f:
urllist = f.read().splitlines()
for url in urllist:
filename = url.split("=")[-1]
filename = "./Transcript/HOC_" + filename + ".txt"
article = webarticle2text.extractFromURL(url)
with open(filename, 'a') as the_file:
the_file.write(article)
print filename + " written!"
file_exists = os.path.isfile(
"/home/ashwin/WorkBench/Dreams/ML/Scrapy/tutorial/review2_text.csv")
o = DictWriter(
open("/home/ashwin/WorkBench/Dreams/ML/Scrapy/tutorial/review2_text.csv",
'a', 0), ["id", "Original_Title", "domain", "critic", "link", "text"])
if not file_exists:
o.writeheader()
with open('/home/ashwin/WorkBench/Dreams/ML/Scrapy/tutorial/reviews2.csv',
'r') as f:
reader = DictReader(f)
for item in reader:
if int(item['id']) <= progress:
continue
if item['link']:
try:
text = webarticle2text.extractFromURL(baseUrl + item['link'])
if text:
o.writerow({
'Original_Title': item['Original_Title'],
'id': item['id'],
'domain': item['domain'],
'link': item['link'],
'text': text,
'critic': item['critic'],
})
except:
print(
json.dumps(item,
sort_keys=True,
indent=2,
separators=(',', ': ')))
import webarticle2text
import sys
# print webarticle2text.extractFromURL("http://sanguoshaenglish.blogspot.com/2010/07/liu-bei.html")
article = webarticle2text.extractFromURL(sys.argv[1])
