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#!/usr/bin/env python3
import sys
import json
with open('title_slug_denylist.txt', 'r') as f:
TITLE_DENYLIST = [l.strip() for l in f]
TITLE_DENYLIST.extend((
'editorial',
'advertisement',
'bookreviews',
'reviews',
'nr',
'abstractoriginalarticle',
'originalarticle',
'impactfactor',
'articlenumber',
))
# The full name can't *entirely* be one of these
NAME_DENYLIST = (
'phd',
'phdstudent',
)
def tokenize(s, remove_whitespace=True):
s.replace(''', "'")
# Remove non-alphanumeric characters
s = ''.join([c for c in s.lower() if c.isalpha() or c.isspace()])
if remove_whitespace:
s = ''.join(s.split())
# Encode as dumb ASCII (TODO: this is horrible)
return s.encode('ascii', 'replace').decode('utf8').replace('?', '')
assert tokenize("Impact Factor: 2.114") == "impactfactor"
assert tokenize("Impact Factor: 2.114") in TITLE_DENYLIST
def filter_title(title):
title = title.strip()
if len(title) > 500:
return None
title_slug = tokenize(title, remove_whitespace=True)
if len(title_slug) < 10 or title_slug in TITLE_DENYLIST:
return None
if title_slug.startswith('nr'):
return None
if title.lower().replace('.', '').startswith('int j '):
return None
for prefix in ("Title: ", "Original Article: ", "Article: ", "Original Article "):
if title.startswith(prefix):
title.replace(prefix, '')
if title.startswith("The Journal of "):
return None
if "volume" in title_slug and "issue" in title_slug:
return None
if "downloadedfrom" in title_slug:
return None
if title_slug.startswith("issn"):
return None
# titles with too many or too few words in title
title_words = len(title.split())
if title_words > 50 or title_words < 2:
return None
# titles with spaces between every letter (more than N such single-char words)
if len([True for w in title.split() if len(w) == 1]) > 12:
return None
# too deep subtitling/splitting
if title.count(':') > 3 or title.count('|') > 1 or title.count('.') > 1:
return None
return title
def filter_author_name(name):
name = name['name']
if name.strip().lower().replace(' ', '') in NAME_DENYLIST:
return None
return ' '.join([t for t in name.split() if tokenize(t)])
def filter_authors(l):
return [dict(name=n) for n in map(filter_author_name, l) if n and len(n) > 1]
def filter_refs(l):
# TODO:
return l
def filter_journal_name(name):
# same denylist, for now
if not name:
return None
name = name.replace(' e-ISSN', '').replace(' p-ISSN', '')
slug_name = tokenize(name)
if slug_name in TITLE_DENYLIST or len(slug_name) < 4 or name == "N.º":
return None
for prefix in ("/ ", "~ ", "& ", "© ", "Original Research Article ", "Original Article ", "Research Article ", "Available online www.jocpr.com "):
if name.startswith(prefix):
name = name.replace(prefix, '')
for suffix in (" Available online at www.sciarena.com", " Original Article", " Available online at", " ISSN", " ISSUE"):
if name.endswith(suffix):
name = name.replace(suffix, '')
if "====================" in name:
return None
if len(name) > 150:
return None
return ' '.join(name.split())
def filter_metadata(obj):
if not (obj.get('title') and obj.get('authors')):
return None
title = filter_title(obj['title'])
if not title:
#sys.stderr.write("bad title\n")
return None
else:
obj['title'] = title
obj['authors'] = filter_authors(obj['authors'])
obj['citations'] = filter_refs(obj['citations'])
obj['journal']['name'] = filter_journal_name(obj['journal']['name'])
return obj
def run(invert=False):
for line in sys.stdin:
fields = line.split('\t')
if len(fields) == 5:
raw = fields[4]
elif len(fields) == 1:
raw = fields[0]
else:
sys.stderr.write("bad line\n")
continue
obj = json.loads(raw)
processed = filter_metadata(obj)
if processed:
if not invert:
processed = json.dumps(processed)
if len(fields) == 5:
fields[4] = processed
else:
fields[0] = processed
print('\t'.join(fields))
elif invert:
print(raw.strip())
if __name__=="__main__":
run(invert="--invert" in sys.argv)
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