def find_mojibake(program=None, check_abstract=False):
if program is None:
program = printprogram.get_program()
bake = '�'
baked = []
for p in program.submissions.values():
ghost = False
if bake in p.title:
print p.id, "TITLE ", p.title
ghost = True
bauthors = [ba for ba in p.authors if bake in ba.fullName()]
if len(bauthors) > 0:
print p.id, "AUTHOR ", [b.fullName() for b in bauthors]
ghost = True
baffils = reduce(lambda x, y: x + y,
[[ba for ba in a.affiliations if bake in ba.name]
for a in p.authors], [])
if len(baffils) > 0:
print p.id, "AUTHOR AFFIL ", [b.name for b in baffils]
ghost = True
if (p.cAndB and bake in p.cAndB):
print p.id, "C AND B ", p.cAndB
ghost = True
if (check_abstract and p.abstract and bake in p.abstract):
print p.id, " ABSTRACAT ", p.abstract
ghost = True
if ghost: baked.append(p)
return baked
def find_mojibake(program=None, check_abstract=False):
if program is None:
program = printprogram.get_program()
bake = '�'
baked = []
for p in program.submissions.values():
ghost = False
if bake in p.title:
print p.id, "TITLE ", p.title
ghost = True
bauthors = [ba for ba in p.authors if bake in ba.fullName()]
if len(bauthors) > 0:
print p.id, "AUTHOR ", [b.fullName() for b in bauthors]
ghost = True
baffils = reduce(lambda x,y: x+y, [[ba for ba in a.affiliations if bake in ba.name] for a in p.authors], [])
if len(baffils) > 0:
print p.id, "AUTHOR AFFIL ", [b.name for b in baffils]
ghost = True
if (p.cAndB and bake in p.cAndB):
print p.id, "C AND B ", p.cAndB
ghost = True
if (check_abstract and p.abstract and bake in p.abstract):
print p.id, " ABSTRACAT ", p.abstract
ghost = True
if ghost: baked.append(p)
return baked
def fix_file(fname,ln_col,fn_col,email_col,affil_col,country_col,proceedings=None):
if proceedings == None: proceedings = pp.get_program()
authors_dict = build_dict(proceedings.authors.values())
print "reading %s ", fname
rin = csv.reader(open(fname,'rU'))
fout = open("%s-out.csv"% fname,'w')
wout = csv.writer(fout)
rows = [wout.writerow(
map(lambda x : cP.unescape(x), process(row,authors_dict,ln_col,fn_col,email_col,affil_col,country_col))
) for row in rin if len(row) > 0]
fout.close()
def unpack(f="reviewers/authors_packed.csv"):
authors = pp.get_program().authors.values()
inf = csv.reader(codecs.open(f, "r", "utf-8"))
outf = codecs.open("%s-out.csv" % f, "w", "utf-8")
for author_row in inf:
z = find_author(author_row[0], authors)
if z:
outf.write("%s\n" % ",".join([z.lastName, z.firstName, author_row[1]]))
else:
asplits = author_row[0].split(" ")
outf.write(
"%s\n" % ",".join([" ".join(asplits[1:]), asplits[0], author_row[1], "X" if len(asplits) > 2 else " "])
)
outf.close()
def unpack(f="reviewers/authors_packed.csv"):
authors = pp.get_program().authors.values()
inf = csv.reader(codecs.open(f, 'r', 'utf-8'))
outf = codecs.open("%s-out.csv" % f, 'w', 'utf-8')
for author_row in inf:
z = find_author(author_row[0], authors)
if z:
outf.write("%s\n" %
','.join([z.lastName, z.firstName, author_row[1]]))
else:
asplits = author_row[0].split(' ')
outf.write("%s\n" % ','.join([
' '.join(asplits[1:]), asplits[0], author_row[1],
'X' if len(asplits) > 2 else ' '
]))
outf.close()
def fix_file(fname,
ln_col,
fn_col,
email_col,
affil_col,
country_col,
proceedings=None):
if proceedings == None: proceedings = pp.get_program()
authors_dict = build_dict(proceedings.authors.values())
print "reading %s ", fname
rin = csv.reader(open(fname, 'rU'))
fout = open("%s-out.csv" % fname, 'w')
wout = csv.writer(fout)
rows = [
wout.writerow(
map(
lambda x: cP.unescape(x),
process(row, authors_dict, ln_col, fn_col, email_col,
affil_col, country_col))) for row in rin
if len(row) > 0
]
fout.close()
