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booklet.py
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booklet.py
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"""
This file is part of
"AMCOS_booklet"
Version 1.1 (04/07/2019)
A LaTeX template for conference books of abstracts
This template is available at:
https://github.com/maximelucas/AMCOS_booklet
License: GNU General Public License v3.0
Author of this file:
Maxime Lucas ([email protected])
Directory structure:
- booklet.py
|- abstracts/
|- txt/
|- figures/
|- tex/
Run the code in command line to process:
- the file ./abstracts/txt/t_name.txt only (verbose or silent mode)
booklet.py t_name.txt verbose
booklet.py t_name.txt
- all ./abstracts/txt/*.txt abstracts:
booklet.py
booklet.py all
"""
import numpy as np
import csv
import glob, os, sys
tex_dir = 'abstracts/tex/'
txt_dir = 'abstracts/txt/'
if not os.path.isdir(tex_dir):
os.mkdir(tex_dir)
if not os.path.isdir(txt_dir):
os.mkdir(txt_dir)
def format_num_affs(string) : #---------------------------------------------
"""
Format substring for affiliation numbers
Input: string "{1,2}"
Output: string "$^{1,2}$"
"""
if string == None:
out = ''
else :
out = r'$^{}$' .format(string)
return out
def format_authors(authors): #----------------------------------------------
"""
Format authors names into the uniform format F. LastName
Input: single string containing all author names, e.g.
"First1 Last1, First2 Last2"
Output: single string formatted as e.g.
"F1. Last1, F2. Last2"
"""
n_auth = len(authors)
for i in range(n_auth):
if ',' in authors[i]:
subnames = authors[i].split(', ')
else :
subnames = authors[i].split(' ')
subnames = filter(None, subnames) #remove empty strings
if len(subnames) > 2:
print 'long name'
if ',' in authors[i]: # if comma, assume Last, F.
first = subnames[-1]
last = subnames[0]
else: # if no comma
if subnames[-1][-1] == '.' or len(subnames[-1]) == 1:# if Last F.
last = subnames[0]
firsts = subnames[1:]
else : # assume First Last or F. Last
last = subnames[-1]
firsts = subnames[:-1]
for j in range(len(firsts)): # shorten First to F.
if firsts[j][-1] != '.':
firsts[j] = firsts[j][0] + '.'
first = ' '.join(firsts)
# /!\ the case Last First will be detected as First Last
# /!\ assumed that the Last name is always one word (no space)
authors[i] = first + ' ' + last
return authors
def fix_abstract(abs_pieces): #----------------------------------------
# fix end of lines without space (otherwise end and start line words get glued)
abstract = []
for i in range(len(abs_pieces)):
if abs_pieces[i][-1] != ' ' and abs_pieces[i][-1] != '-' :
abs_pieces[i] += ' '
abs_piece = abs_pieces[i] + ' '
if abs_pieces[i][-1] != ' ' :
pass
# print 'not fixed!!!----------'
# print "'{}'". format(abs_pieces[i])
else:
abs_piece = abs_pieces[i]
abstract.append(abs_piece)
abstract = ''.join(abstract)
return abstract
# MAIN FUNCTION ----------------------------------------------------
def txt2tex(file_name, verbose=False) :
"""
From a properly formatted .txt abstract file, make two
(printed and online version) .tex files with the right
format to be used in the main booklet .tex file.
Input: string with name of source .txt file
e.g.: t_name.txt (abstract for a talk),
p_name.txt (abstract for a poster)
Output: - to_name.tex file (online version)
- tp_name.txt file (printed version)
("t" stands for talk, is replaced by "p" for poster)
Options: boolean "verbose"
if true, print info including
final text for the .tex files
"""
print file_name # format: t_name.txt or p_name.txt
file_type = file_name[0] # either talk 't' or poster 'p'
file_id = file_name[2:-4] # 'name'
# READ .TXT FILE
with open(txt_dir + file_name, 'rbU') as inputfile:
reader = csv.reader(inputfile, delimiter='\n')
data = [i[0] for i in reader]
# EXTRACT INDICES
idx_title = data.index("TITLE")
idx_author = data.index("AUTHOR")
idx_affshort = data.index("AFFSHORT")
idcs_aff =[i for i,j in enumerate(data) if j == 'AFF']
idx_abs = data.index("ABS")
absshort = False
if "ABSSHORT" in data:
absshort = True
idx_absshort = data.index("ABSSHORT")
# idx_refs = data.index("REFS")
n_aff = len(idcs_aff)
data = np.array(data)
# EXTRACT DATA AS TEXT
title = data[idx_title+1] # title
if title[-1] == '.':
title = title[:-1]
authors = data[idx_author+1:idx_affshort]
aff_short = data[idx_affshort+1]
affs = [None]*n_aff # list of affiliations
for i in range(n_aff) :
start = idcs_aff[i]+1
if i == n_aff - 1 :
end = idx_abs
else :
end = idcs_aff[i+1]
affi = data[start:end]
affi = "".join(affi)
affs[i] = affi
if 'REFS' not in data:
refs = []
idx_refs = len(data)
if absshort:
idx_abs_end = idx_absshort
else:
idx_abs_end = len(data)
else:
idx_refs = list(data).index("REFS")
refs = data[idx_refs+1:]
idx_abs_end = idx_refs
# fix end of lines without space (otherwise end and start line words get glued)
abs_pieces = data[idx_abs+1:idx_abs_end]
abstract = fix_abstract(abs_pieces)
if absshort:
absshort_pieces = data[idx_absshort+1:]
abstract_short = fix_abstract(absshort_pieces)
n_auth = len(authors) # number of authors
n_refs = len(refs)
if verbose:
print '----RAW DATA'
print title
print authors
print aff_short
print affs
print refs
print
i_speaker = 0
affs_auth = [None]*n_auth # list of affiliations for each author
# PROCESS AFFILIATIONS AND PRESENTING AUTHOR
abs_type = ' '
tag = ''
for i,author in enumerate(authors):
if author[-1] == '*' : # if presenting author
authors[i] = author[:-2]
i_speaker = i
if author[-1] == 'x' : # if invited talk (assume one author)
authors[i] = author[:-2]
abs_type = 'IS'
tag = r'\IStag'
elif author[-1] == '+' : # if keynote lecture (assume one author)
authors[i] = author[:-2]
abs_type = 'KL'
tag = r'\KLtag'
elif author[-1] == '/' : # if special lecture (assume one author)
authors[i] = author[:-2]
abs_type = 'IT'
tag = r'\ITtag'
if '{' in author: # if affiliations
i_i = author.index('{')
i_f = author.index('}')
affs_auth[i] = author[i_i:i_f+1]
authors[i] = author[:i_i-1]
if verbose:
print "PROCESSED DATA"
print title
print authors
print affs_auth
authors = format_authors(authors)
# FORMAT DATA INTO INPUT TEXT FOR LATEX
auths_final = ''
for i in range(n_auth):
if i == i_speaker:
if n_auth > 1: # if more than one author, underline speaker
auths_final += r'\underline{' + authors[i] + r'}'
elif n_auth == 1:
auths_final += authors[i]
else:
auths_final += authors[i]
auths_final += format_num_affs(affs_auth[i])
if i < n_auth-1 :
auths_final += ', '
if n_aff == 1 :
affs_final = affs[0]
else :
affs_final = r'\newline{}'.join([r'$^{}$ {}' .format(i+1,aff) for i,aff in enumerate(affs)])
# refs_final = ' \\ '.join(refs)
if n_refs == 0:
refs_final = ''
else:
refs_final = r"""
\textbf{{References}} \newline{{}}{}""" .format(r'\newline{}'.join(refs))
if abs_type == ' ':
talk_type = ''
else:
talk_type = r' \hfill ' + abs_type
# PUT ALL TOGETHER FOR DIFFERENT FORMATS: PRINTED/ONLINE AND TALK/POSTER
if not absshort:
abstract_short = abstract
if file_type == 't' : # talk printed
printed = r"""
\begin{{abstract}}{{{}}}{{%
{}}}{{%
{}}}{{%
{}}}
{}
\end{{abstract}}
""" .format(title, authors[i_speaker], aff_short, tag, abstract_short)
with open(tex_dir + 'tp_' + file_id + '.tex', "w") as text_file:
text_file.write(printed)
if verbose:
print
print 'Talk, printed:'
print printed
elif file_type == 'p' : # poster printed
printed = r"""\poster{{{}}}{{%
{}}}{{%
{}}}""" .format(title, authors[i_speaker], aff_short)
with open(tex_dir + 'pp_' + file_id + '.tex', "w") as text_file:
text_file.write(printed)
if verbose:
print
print 'Poster, printed:'
print printed
# poster and talk online
online = r"""
\begin{{abstract_online}}{{{}}}{{%
{}}}{{%
{}}}{{%
{}}}
{}
{}
\end{{abstract_online}}
""" .format(title, auths_final, tag, affs_final, abstract, refs_final)
with open(tex_dir + file_type + 'o_' + file_id + '.tex', "w") as text_file:
text_file.write(online)
if verbose:
print 'Online'
print online
print auths_final
return online, printed
#=======================================================================
if __name__ == "__main__":
verb = False
if len(sys.argv) > 2 and sys.argv[2] == 'verbose':
verb = True
if len(sys.argv) == 1 or sys.argv[1] == 'all': # process all .txt files
for file_name in glob.glob(txt_dir + "*.txt"):
#print file_name.split('/')[-1]
online, talkp = txt2tex(file_name.split('/')[-1])
elif '.txt' in sys.argv[1]: # process single specified .txt file
online, talkp = txt2tex(sys.argv[1], verbose=verb)