84 lines
2.1 KiB
Python
84 lines
2.1 KiB
Python
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#!/usr/bin/env python
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"""
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Takes a list of bibcodes and gets the ADS data in a latex list of items and writes it out to a file.
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You can get all your bibcodes by going to this URL (replacing 'Birnstiel,+T.'
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with your name and initial):
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http://adsabs.harvard.edu/cgi-bin/nph-abs_connect?author=Birnstiel,+T.&jou_pick=NO&data_type=Custom&sort=NDATE&format=%5C%25R
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select those bibcodes you want and copy them into the array below.
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"""
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LASTNAME='Birnstiel'
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bibcodes = [
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'2014ApJ...780..153B',
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'2013Sci...340.1199V',
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'2013A&A...550L...8B',
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'2012A&A...545A..81P',
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'2012A&A...544L..16W',
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'2012A&A...540A..73W',
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'2012A&A...539A.148B',
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'2012A&A...538A.114P',
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'2010A&A...516L..14B',
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'2010A&A...513A..79B',
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'2009A&A...503L...5B']
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import urllib2
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FILE = 'pub_list.tex'
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format = '\\\\item %\\13M: \\\\textit{%\\t}, %\\j (%\\Y) vol. %\\V, %\\p%-\\P\\.'
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bib_split = '\r\n'
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URL = r'http://adsabs.harvard.edu/cgi-bin/nph-abs_connect?db_key=ALL&warnings=YES&version=1&bibcode=%s&nr_to_return=1000&start_nr=1&data_type=Custom&sort=NDATE&format=%s'%(urllib2.quote(bib_split.join(bibcodes)),urllib2.quote(format))
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#
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# get the data
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#
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response = urllib2.urlopen(URL)
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html = response.read()
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response.close()
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#
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# split in lines
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#
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html = html.split('\n')
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#
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# cut the header
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#
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while '\item' not in html[0]: del html[0]
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while '' in html: html.remove('')
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pubs = []
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pub = []
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for j,i in enumerate(html):
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if '\\item' in i:
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#
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# when a new publication starts
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#
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pubs+= [pub]
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pub = [i]
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else:
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#
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# else: keep adding the line
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#
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pub += [i]
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#
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#
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#
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#
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# remove empty entries
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#
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while [] in pubs: pubs.remove([])
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#
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# write results
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#
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f = open(FILE,'w')
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# write header if necessary
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#f.write(r'\begin{supertabular}{p{\textwidth}}'+'\n')
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for pub in pubs:
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line = ''.join(pub)
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line = line.replace('&','\&')
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line = line.replace(LASTNAME,'\\textbf{'+LASTNAME+'}')
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# write line ending if necessary
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#ending = '\\\\[-0.2cm] \n'
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ending = '\n'
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if 'Thesis' in line: line=line.replace(' vol. ','')
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f.write(line+ending)
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# write fooder if necessary
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#f.write(r'\end{supertabular}')
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f.close()
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