def run(self):
author = CDBLPAuthor(self.author_name.strip())
#AuthorThread.authors[self.author_name.strip()] = author.get_author()
chunk = open('authors/{}-{}-entry.data'.format(self.id, self.author_name.strip()), 'w')
chunk.write(json.dumps(author.get_author()))
chunk.close()
print(self.author_name + ' %d is done.' % self.id)
def run(self):
author = CDBLPAuthor(self.author_name.strip())
#AuthorThread.authors[self.author_name.strip()] = author.get_author()
chunk = open(
'authors/{}-{}-entry.data'.format(self.id,
self.author_name.strip()), 'w')
chunk.write(json.dumps(author.get_author()))
chunk.close()
print(self.author_name + ' %d is done.' % self.id)
def get_match(author_name):
Data.clear()
author_cdblp = CDBLPAuthor(author_name)
author_name_comp = CDBLPAuthor.getEnglishName(author_name)
urlpt = '{}/{}:{}'.format(author_name_comp['last_name'][0].lower(),
author_name_comp['last_name'],
author_name_comp['first_name'])
candidate_urlpts = set()
author_affiliation = dict()
res = urlopen(DBLPQuery.get_dblp_url(urlpt))
dom = BeautifulSoup(res)
for cu_tag in dom.find_all('li', 'homonym'):
cu = cu_tag.find('a')['href'][3:-5]
candidate_urlpts.add(cu)
author_affiliation[cu] = cu_tag.find('a').next_sibling.string
if len(candidate_urlpts) == 0:
candidate_urlpts.add(urlpt)
author_affiliation[urlpt] = 'Default University'
l = []
for cu in candidate_urlpts:
t = ThreadMatch(cu, author_cdblp)
t.start()
l.append(t)
for t in l:
t.join()
result = []
for k, v in Data.result.items():
if v > 0.1:
result.append({
'urlpt': k,
'aff': author_affiliation[k],
'rank': v
})
result.sort(key=lambda i: i['rank'], reverse=True)
return {'author': author_cdblp, 'result': result}
def get_authors_by_venue(cached_list, cached_set, cdblp_venue, dblp_venue):
d = DBLPQuery.get_cache('cdblp-pub-cache.data')
if not d.__contains__(cdblp_venue.get('title')):
print('This C-DBLP venue is not on file.')
return
res = urlopen('http://www.dblp.org/search/api/?q=ce:venue:{}:*&h=750&format=json'.format(dblp_venue.get('title').lower()))
# fix titles as { "Title ..." }
fixed_json = re.compile('({\s*)(".+")(\s*})').sub(lambda m: m.group(2), res.read().decode('utf-8'))
# get publications
cdblp_pubs = d.get(cdblp_venue.get('title'))
dblp_pubs = json.loads(fixed_json)
cdblp_authors = set()
dblp_authors = set()
authors = dict()
#print(type(cdblp_pubs))
#print(cdblp_pubs.keys())
for ky in cdblp_pubs.keys():
for ki in cdblp_pubs.get(ky).keys():
for pub in cdblp_pubs.get(ky).get(ki):
for author in pub.get('authors'):
cdblp_authors.add(author)
for pub in dblp_pubs.get('result').get('hits').get('hit'):
try:
for author in pub.get('info').get('authors').get('author'):
dblp_authors.add(author)
except AttributeError:
print('PublicationException: %s' % pub.get('@id'))
pinyin = PinYin()
pinyin.load_word()
for author in cdblp_authors:
name_comp = CDBLPAuthor.get_english_name(author, pinyin)
if name_comp['full_name'] in dblp_authors:
if authors.__contains__(name_comp['full_name']):
authors[name_comp['full_name']]['zh'] = name_comp['zh']
authors[name_comp['full_name']]['count'] += 1
else:
authors[name_comp['full_name']] = { 'zh': name_comp['zh'], 'count': 1 }
elif len(author) == 3 and authors.__contains__(name_comp['full_name_dash']):
if authors.__contains__(name_comp['full_name_dash']):
authors[name_comp['full_name_dash']]['zh'] = name_comp['zh']
authors[name_comp['full_name_dash']]['count'] += 1
else:
authors[name_comp['full_name_dash']] = { 'zh': name_comp['zh'], 'count': 1 }
return authors
def get_match(author_name):
Data.clear()
author_cdblp = CDBLPAuthor(author_name)
author_name_comp = CDBLPAuthor.getEnglishName(author_name)
urlpt = '{}/{}:{}'.format(author_name_comp['last_name'][0].lower(), author_name_comp['last_name'], author_name_comp['first_name'])
candidate_urlpts = set()
author_affiliation = dict()
res = urlopen(DBLPQuery.get_dblp_url(urlpt))
dom = BeautifulSoup(res)
for cu_tag in dom.find_all('li', 'homonym'):
cu = cu_tag.find('a')['href'][3:-5]
candidate_urlpts.add(cu)
author_affiliation[cu] = cu_tag.find('a').next_sibling.string
if len(candidate_urlpts) == 0:
candidate_urlpts.add(urlpt)
author_affiliation[urlpt] = 'Default University'
l = []
for cu in candidate_urlpts:
t = ThreadMatch(cu, author_cdblp)
t.start()
l.append(t)
for t in l:
t.join()
result = []
for k, v in Data.result.items():
if v > 0.1:
result.append({ 'urlpt': k, 'aff': author_affiliation[k], 'rank': v })
result.sort(key=lambda i: i['rank'], reverse=True)
return { 'author': author_cdblp, 'result': result }
def get_sample_users():
cache = open('author-cache.data', 'w')
piy = PinYin()
piy.load_word()
author_list = []
res = urlopen('http://easyscholar.ruc.edu.cn/moreuser.html')
dom = BeautifulSoup(res)
author_tags = dom.find_all(href=re.compile('^homepage/'))
for author_tag in author_tags:
if author_tag.findChild('strong'):
#print(author_tag.findChild('strong').contents)
author_name = CDBLPAuthor.getEnglishName(author_tag.findChild('strong').contents[0])
author_list.append(author_name)
#print('{} {}'.format(author_name['full_name'], author_name['zh']))
#print(CDBLPAuthor.getEnglishName(author_tag.findChild('strong').contents[0])['full_name'])
#print(piy.hanzi2pinyin(author_tag.findChild('strong').contents[0]))
cache.write(json.dumps(author_list))
cache.close()
return author_list
def get_coauthored_publications_by_authors(cached_list, cached_set, author1_name, author2_name):
"""
1. Get authors' publications
2. Merge publications
"""
publications = { 'cdblp': [], 'dblp': [] }
pub1 = DBLPQuery.get_publications_by_author(cached_list, cached_set, author1_name)
author2 = DBLPQuery.author_distinct(cached_list, cached_set, author2_name)
#pub2 = DBLPQuery.get_publications_by_author(cached_list, cached_set, author2_name)
for cdblp_pub in pub1.get('cdblp', []):
authors = set(cdblp_pub.get('authors', []))
authors_en = set(map(lambda a: CDBLPAuthor.getEnglishName(a)['full_name'], authors))
if author2.get('cdblp', {}).get('author_name', {}).get('zh') in authors or author2.get('dblp', {}).get('author_name') in authors_en:
publications['cdblp'].append(cdblp_pub)
for dblp_pub in pub1.get('dblp', []):
authors = set(map(lambda a: a.get('name'), dblp_pub.get('authors', [])))
if author2.get('dblp', {}).get('author_name') in authors or author2.get('cdblp', {}).get('author_name', {}).get('full_name') in authors:
publications['dblp'].append(dblp_pub)
return publications
def get_dblp_author_from_zh(author_name):
author_cdblp = CDBLPAuthor(author_name)
author_name_comp = CDBLPAuthor.getEnglishName(author_name)
urlpt = '{}/{}:{}'.format(author_name_comp['last_name'][0].lower(), author_name_comp['last_name'], author_name_comp['first_name'])
candidate_urlpts = set()
candidate_authors = []
res = urlopen(DBLPQuery.get_dblp_url(urlpt))
dom = BeautifulSoup(res)
for cu_tag in dom.find_all('li', 'homonym'):
cu = cu_tag.find('a')['href'][3:-5]
candidate_urlpts.add(cu)
if len(candidate_urlpts) == 0:
candidate_urlpts.add(urlpt)
for cu in candidate_urlpts:
author = DBLPAuthor(cu)
candidate_authors.append(author)
print(cu)
# for example, '骞雅楠' => 'Ya-nan Qian' in DBLP
if len(candidate_authors) == 0 and len(author_name) == 3:
res = urlopen('{}/search/author?xauthor={}'.format(DBLPQuery.base_url, quote(author_name_comp['full_name_dash'])))
dom = BeautifulSoup(res)
author_tags = dom.find_all('author')
for author_tag in author_tags:
if author_tag.string == author_name_comp['full_name_dash']:
author = DBLPAuthor(author_tag['urlpt'])
candidate_authors.append(author)
try:
target_author = candidate_authors[0]
except IndexError:
return { 'cdblp': author_cdblp.get_author(), 'dblp': {} }
coauthors_set_cdblp = set(map(lambda a: a['full_name'], author_cdblp.get_coauthors()))
coauthors_set_dblp = set(candidate_authors[0].get_coauthors())
coauthor_count_max = len(set(coauthors_set_cdblp.intersection(coauthors_set_dblp)))
overlap = coauthors_set_cdblp.intersection(coauthors_set_dblp)
if len(candidate_authors) > 1:
for candidate in candidate_authors:
coauthors_set_dblp = set(candidate.get_coauthors())
coauthor_overlap = coauthors_set_cdblp.intersection(coauthors_set_dblp)
if len(coauthor_overlap) >= coauthor_count_max:
target_author = candidate
overlap = coauthor_overlap
else:
target_author = candidate_authors[0]
#print(overlap)
if coauthor_count_max == 0:
return { 'cdblp': author_cdblp.get_author(), 'dblp': {} }
return { 'cdblp': author_cdblp.get_author(), 'dblp': target_author.get_author() }
def author_distinct(cached_list, cached_set, author_name):
trial = author_name[0]
if author_name in cached_set:
d = DBLPQuery.get_cache('author-entries-cache.data')
print('This is a CDBLP author w/ a English name on file.')
author_name_zh = ''
for author_name_comp in cached_list:
if author_name_comp['full_name'] == author_name.strip() or author_name_comp['zh'] == author_name:
author_name_zh = author_name_comp['zh']
break
return {
'cdblp': d.get(author_name_zh, {}),
'dblp': DBLPAuthor('{}/{}:{}'.format(author_name_comp['last_name'][0].lower(), author_name_comp['last_name'], author_name_comp['first_name'])).get_author()
}
else:
if 0x3400 < ord(trial) < 0x2b6f8:
print('This is a CDBLP author w/ a Chinese name.')
author_cdblp = CDBLPAuthor(author_name)
author_name_comp = CDBLPAuthor.getEnglishName(author_name)
res = urlopen('{}/search/author?xauthor={}'.format(DBLPQuery.base_url, quote(author_name_comp['full_name'])))
dom = BeautifulSoup(res)
candidate_authors = []
author_tags = dom.find_all('author')
for author_tag in author_tags:
if author_tag.string == author_name_comp['full_name']:
author = DBLPAuthor(author_tag['urlpt'])
candidate_authors.append(author)
# for example, '骞雅楠' => 'Ya-nan Qian' in DBLP
if len(candidate_authors) == 0 and len(author_name) == 3:
res = urlopen('{}/search/author?xauthor={}'.format(DBLPQuery.base_url, quote(author_name_comp['full_name_dash'])))
dom = BeautifulSoup(res)
author_tags = dom.find_all('author')
for author_tag in author_tags:
if author_tag.string == author_name_comp['full_name_dash']:
author = DBLPAuthor(author_tag['urlpt'])
candidate_authors.append(author)
try:
target_author = candidate_authors[0]
except IndexError:
return { 'cdblp': author_cdblp.get_author(), 'dblp': {} }
coauthors_set_cdblp = set(map(lambda a: a['full_name'], author_cdblp.get_coauthors()))
coauthors_set_dblp = set(candidate_authors[0].get_coauthors())
coauthor_count_max = len(set(coauthors_set_cdblp.intersection(coauthors_set_dblp)))
overlap = coauthors_set_cdblp.intersection(coauthors_set_dblp)
if len(candidate_authors) > 1:
for candidate in candidate_authors:
coauthors_set_dblp = set(candidate.get_coauthors())
coauthor_overlap = coauthors_set_cdblp.intersection(coauthors_set_dblp)
if len(coauthor_overlap) >= coauthor_count_max:
target_author = candidate
overlap = coauthor_overlap
else:
target_author = candidate_authors[0]
#print(overlap)
return { 'cdblp': author_cdblp.get_author(), 'dblp': target_author.get_author() }
else:
print('This is a non-CDBLP author.')
candidates = []
res = urlopen('{}/search/author?xauthor={}'.format(DBLPQuery.base_url, quote(author_name)))
dom = BeautifulSoup(res)
for candidate_tag in dom.find_all('author'):
if author_name == candidate_tag.string:
candidates.append(DBLPAuthor(candidate_tag['urlpt']))
return { 'cdblp': {}, 'dblp': candidates[0].get_author() }
def run(self):
CDBLPAuthor.parallel_get(self.journal, self.link)
print(self.journal + ' is done.')
def run(self):
CDBLPAuthor.parallel_get(self.journal, self.link)
print(self.journal + ' is done.')
