def parse_author_data(author_data, affiliation_data, max_list_length=50):
"""
Parse the author string from TR bibtex. It has the names of each author.
For each author, determine from the affiliation string if the author is the
corresponding author (true or false) and if they are a UF author (true or
false). Return six data elements for each author -- display_name, last,
first, middle names and the two true/false values. Return a list of
authors. Each author has the six elements :param author_data: :param
affiliation_data:
:param max_list_length: Author list maximum length. To prevent Physics
papers from swamping the process
:return: author_list. A list of authors. Each author is a dict with seven
elements.
"""
from vivopump import replace_initials
author_list = []
author_names = author_data.split(' and ')
list_length = 0
for display_name in author_names:
list_length += 1
if list_length > max_list_length:
break
# occasional leading '-' before some initials
display_name = display_name.replace(' -', ' ')
author_dict = {'display_name': display_name,
'suffix': '',
'corresponding': 'false',
'uf': 'false'}
if ' Jr.,' in display_name:
author_dict['suffix'] = 'Jr.'
display_name = display_name.replace(' Jr.,', '')
if ' III,' in display_name:
author_dict['suffix'] = 'III'
display_name = display_name.replace(' III,', '')
if ',' in display_name:
k = display_name.find(',')
author_dict['last'] = display_name[0:k]
remainder = display_name[k + 2:]
if ' ' in remainder:
k = remainder.find(' ')
author_dict['first'] = remainder[0:k].replace('.', '')
if ' ' in remainder:
k = remainder.find(' ')
author_dict['first'] = remainder[0:k].replace('.', '')
author_dict['middle'] = remainder[k + 1:].replace('.', '')
else:
author_dict['first'] = remainder.replace('.', '')
author_dict['middle'] = ''
else:
author_dict['last'] = display_name
author_dict['first'] = ''
author_dict['middle'] = ''
author_list.append(author_dict)
# If there is only one author, they must be UF and Corresponding
if len(author_list) == 1:
author_list[0]['corresponding'] = 'true'
author_list[0]['uf'] = 'true'
return author_list
# Now find the Corresponding Author
k = affiliation_data.find('(Reprint Author)')
if k > 0:
reprint_name = affiliation_data[0:k - 1]
k = reprint_name.find(' ')
reprint_last = reprint_name[0:k - 1]
reprint_fi = reprint_name[k + 1:k + 2]
for author_dict in author_list:
if author_dict['last'] == reprint_last \
and author_dict['first'][0] == reprint_fi:
author_dict['corresponding'] = 'true'
# Now find the UF authors. Could there be a more arcane format for the
# affiliations (bunched, etc, etc), So first thing we do is build a
# structure that can identify who is a UF author
# periods are used for ending initials in names. Remove these
affiliation_data = replace_initials(affiliation_data)
# Now periods demarc the groups of authors with like affiliation
affiliation_list = affiliation_data.split('.')
affiliations = []
for affiliation_string in affiliation_list:
affiliation = {'affiliation_string': affiliation_string}
if 'Univ Florida' in affiliation_string:
affiliation['uf'] = 'true'
else:
affiliation['uf'] = 'false'
affiliations.append(affiliation)
# print_err(affiliations)
# Now we are ready to look for affiliations by name. Messy business.
for author_dict in author_list:
if author_dict['first'] == '':
# corporate authors can not be UF authors
continue
find_string = author_dict['last'] + ', ' + author_dict['first'][0]
for affiliation in affiliations: # look in each affiliation group
if affiliation['affiliation_string'].find(find_string) > -1:
author_dict['uf'] = affiliation['uf']
# if you find the author, use the affiliation of the group
# and don't look further. If you don't find the author
# the default affiliation is uf false
continue
#print_err("{} Authors in list: {}".format(len(author_list), author_list))
return author_list
def parse_author_data(author_data, affiliation_data, max_list_length=50):
"""
Parse the author string from TR bibtex. It has the names of each author. For each author, determine from
the affiliation string if the author is the corresponding author (true or false) and if they are a UF author
(true or false). Return six data elements for each author -- display_name, last, first, middle names and
the two true/false values. Return a list of authors. Each author has the six elements
:param author_data:
:param affiliation_data:
:param max_list_length: Author list maximum length. To prevent Physics papers from swamping the process
:return: author_list. A list of authors. Each author is a dict with seven elements.
"""
from vivopump import replace_initials
author_list = []
author_names = author_data.split(' and ')
list_length = 0
for display_name in author_names:
list_length += 1
if list_length > max_list_length:
break
display_name = display_name.replace(
' -', ' ') # occasional leading '-' before some initials
author_dict = {
'display_name': display_name,
'suffix': '',
'corresponding': 'false',
'uf': 'false'
}
if ' Jr.,' in display_name:
author_dict['suffix'] = 'Jr.'
display_name = display_name.replace(' Jr.,', '')
if ' III,' in display_name:
author_dict['suffix'] = 'III'
display_name = display_name.replace(' III,', '')
if ',' in display_name:
k = display_name.find(',')
author_dict['last'] = display_name[0:k]
remainder = display_name[k + 2:]
if ' ' in remainder:
k = remainder.find(' ')
author_dict['first'] = remainder[0:k].replace('.', '')
if ' ' in remainder:
k = remainder.find(' ')
author_dict['first'] = remainder[0:k].replace('.', '')
author_dict['middle'] = remainder[k + 1:].replace('.', '')
else:
author_dict['first'] = remainder.replace('.', '')
author_dict['middle'] = ''
else:
author_dict['last'] = display_name
author_dict['first'] = ''
author_dict['middle'] = ''
author_list.append(author_dict)
# If there is only one author, they must be UF and Corresponding
if len(author_list) == 1:
author_list[0]['corresponding'] = 'true'
author_list[0]['uf'] = 'true'
return author_list
# Now find the Corresponding Author
k = affiliation_data.find('(Reprint Author)')
if k > 0:
reprint_name = affiliation_data[0:k - 1]
k = reprint_name.find(' ')
reprint_last = reprint_name[0:k - 1]
reprint_fi = reprint_name[k + 1:k + 2]
for author_dict in author_list:
if author_dict['last'] == reprint_last and author_dict['first'][
0] == reprint_fi:
author_dict['corresponding'] = 'true'
# Now find the UF authors. Could there be a more arcane format for the affiliations (bunched, etc, etc),
# So first thing we do is build a structure that can identify who is a UF author
affiliation_data = replace_initials(
affiliation_data
) # periods are used for ending initials in names. Remove these
affiliation_list = affiliation_data.split(
'.') # Now periods demarc the groups of authors with like affiliation
affiliations = []
for affiliation_string in affiliation_list:
affiliation = {'affiliation_string': affiliation_string}
if 'Univ Florida' in affiliation_string:
affiliation['uf'] = 'true'
else:
affiliation['uf'] = 'false'
affiliations.append(affiliation)
print >> sys.stderr, affiliations
# Now we are ready to look for affiliations by name. Messy business.
for author_dict in author_list:
if author_dict['first'] == '':
continue # corporate authors can not be UF authors
find_string = author_dict['last'] + ', ' + author_dict['first'][0]
for affiliation in affiliations: # look in each affiliation group
if affiliation['affiliation_string'].find(find_string) > -1:
author_dict['uf'] = affiliation[
'uf'] # if you find the author, use the affiliation of the group
continue # and don't look further. If you don't find the author
# the default affiliation is uf false
print >> sys.stderr, author_list
return author_list
def test_replace_initials_two(self):
t = replace_initials('This is A. B. test')
self.assertEqual(t, 'This is A B test')
def test_replace_initials_consecutive_initials(self):
t = replace_initials('This is A.B. test')
self.assertEqual(t, 'This is AB test')
def test_replace_initials_default(self):
t = replace_initials('This is A. test')
self.assertEqual(t, 'This is A test')