def bib2zope(filename, app = None):
import _bibtex
file = _bibtex.open_file(filename, True)
entry = _bibtex.next(file)
while entry != None:
keys = entry[4].keys()
id = entry[0]
pubtype = entry[1]
print '-----'
print 'id:', id
print 'pubype:', pubtype
print 'keys:', keys
for key in keys:
print key, ':', _bibtex.get_native(entry[4][key]).strip('{} ')
if app != None:
publications = app.infnine.publications
print "Running in Zope, creating objects in ZODB..."
if not publications.hasObject(id):
print "Entry", id, "not yet in ZODB, creating"
admin = app.acl_users.getUser('admin')
import AccessControl
AccessControl.SecurityManagement.newSecurityManager(None, admin)
from Testing.makerequest import makerequest
app = makerequest(app)
publications.invokeFactory('Publication', id)
pub = publications.__getitem__(id)
print "Updating", id, keys
from infnine.data.interfaces import IPublication
for key in keys:
if not key.replace('-', '_') in (IPublication._v_attrs.keys()):
print "!!! Missing key:", key
value = _bibtex.get_native(entry[4][key]).strip('{} "')
if key in ['year']:
value = int(value)
elif key == 'bib2html_pubtype':
value = unicode(filtered_pubtype(value))
else:
value = unicode(value)
if '-' in key:
pub.__setattr__(key.replace('-', '_'), value)
else:
pub.__setattr__(key, value)
pub.reindexObject()
import transaction
transaction.commit()
entry = _bibtex.next(file)
def __init__(self, context, t):
"""Constructs a BibtexRecord using the _bibtex mystery tuple."""
## A hack to deal with _bibtex' incomplete handling of the "month" field
self.date = [0, 0] # Month, Year
##
self.handle = t[0]
self.entry_type = t[1]
t[2] #Mystery!
t[3] #Mystery!
self.typemap = {
} #If we know that some fields should be a particular type.
self.data = {}
items = t[4]
for k in items.keys():
ty = self.typemap.get(k, -1)
x = _bibtex.expand(context, items[k], ty)
if k == "month":
month = BIBTEX_MONTHS[self._strip_braces(
_bibtex.get_native(items[k]))]
self.date[0] = month
self.data["month"] = month
continue
if ty == -1: ty = x[0]
self.data[k] = self.build(ty, x)
self.date[1] = self.data["year"]
def __init__(self, context, t):
"""Constructs a BibtexRecord using the _bibtex mystery tuple."""
## A hack to deal with _bibtex' incomplete handling of the "month" field
self.date = [0,0] # Month, Year
##
self.handle = t[0]
self.entry_type = t[1]
t[2] #Mystery!
t[3] #Mystery!
self.typemap = {} #If we know that some fields should be a particular type.
self.data = {}
items = t[4]
for k in items.keys():
ty = self.typemap.get(k, -1)
x = _bibtex.expand(context, items[k], ty)
if k == "month":
month = BIBTEX_MONTHS[_bibtex.get_native(items[k])]
self.date[0] = month
self.data["month"] = month
continue
if ty == -1: ty = x[0]
self.data[k] = self.build(ty, x)
if 'year' in self.data.keys():
self.date[1] = self.data['year']
else:
self.date[1] = 1900
def __init__(self, bibtex_entry, path=""):
""" @param[in] bibtex_entry
@param[in] path (optional path to the bib file containing the entry)
"""
self.key, self.type, tmp, tmp, entries = bibtex_entry
self.orig_entry = dict( [ (key, cleanup(_bibtex.get_native(value))) for key, value in entries.iteritems() ] )
self.entry = dict( [ (key, cleanup(value)) for key, value in self.orig_entry.iteritems() ] )
self.path = path
if 'author' in self.entry:
self.entry['author'] = NameFormatter(self.entry['author']).getBibTexAuthors()
def __init__(self, key, fieldtype, content, parser, line):
Base.Entry.__init__(self, key, fieldtype, content)
self.__text = {}
self.parser = parser
self.line = line
# Check for date fields
datefields = Config.get ('bibtex/datefield').data
convert = Config.get ('bibtex/months').data
for field in datefields.keys():
(yearfield, monthfield) = datefields[field]
# check if this entry provides a date field
if not self.has_key (yearfield):
continue
day = None
month = None
try:
year = int(self[yearfield].text)
except ValueError:
break
del self[yearfield]
if self.has_key(monthfield):
mt = _bibtex.get_native(self.dict[monthfield])
if convert.has_key(mt):
month = convert[mt]
del self[monthfield]
else:
df = extended_date.match(mt)
if df:
(gd, gm) = (df.group(1), df.group(2))
if convert.has_key(gm):
month = convert[gm]
try:
day = int(gd)
except ValueError:
pass
del self[monthfield]
self[field] = Date((year, month, day))
return
def __init__(self, key, fieldtype, content, parser, line):
Base.Entry.__init__(self, key, fieldtype, content)
self.__text = {}
self.parser = parser
self.line = line
# Check for date fields
datefields = Config.get('bibtex/datefield').data
convert = Config.get('bibtex/months').data
for field in datefields.keys():
(yearfield, monthfield) = datefields[field]
# check if this entry provides a date field
if not self.has_key(yearfield):
continue
day = None
month = None
try:
year = int(self[yearfield].text)
except ValueError:
break
del self[yearfield]
if self.has_key(monthfield):
mt = _bibtex.get_native(self.dict[monthfield])
if convert.has_key(mt):
month = convert[mt]
del self[monthfield]
else:
df = extended_date.match(mt)
if df:
(gd, gm) = (df.group(1), df.group(2))
if convert.has_key(gm):
month = convert[gm]
try:
day = int(gd)
except ValueError:
pass
del self[monthfield]
self[field] = Date((year, month, day))
return
def writer(it, output, preamble=[]):
''' Outputs all the items refered by the iterator <it> to the
<stdout> stream '''
# write header
if Config.get ('base/advertise').data:
output.write ('@comment{This file has been generated by Pybliographer}\n\n')
if preamble:
output.write ('@preamble {')
output.write (preamble)
output.write ('}\n\n')
# locate the entries that belong to a BibTeX database
# and those who contain crossreferences
field_table = Config.get ('base/fields').data
crossref = None
for key in field_table.keys ():
if field_table [key].type == Reference:
crossref = key
break
header = {}
refere = {}
entry = it.first ()
while entry:
if isinstance (entry, Entry):
header [entry.key.base] = entry
if entry.has_key (crossref):
refere [entry.key] = entry
entry = it.next ()
# write the preamble, if any
if preamble:
for i in preamble:
output.write ('@Preamble {%s}\n' % i)
output.write ('\n')
# write the string definitions corresponding to these entries
if len (header) > 0:
user = Config.get ('bibtex/macros').data
for entry in header.values ():
# write the list of strings
dict = _bibtex.get_dict (entry.parser)
if len (dict.keys ()) == 0: continue
for k in dict.keys ():
if not (user.has_key (k) and user [k][1] == 0):
output.write ('@String{ ')
value = _bibtex.get_native (dict [k])
output.write ('%s \t= %s' % (k, value))
output.write ('}\n')
output.write ('\n')
# write the crossreferenced ones
for entry in refere.values ():
entry_write (entry, output)
# write the entries with no cross references
entry = it.first ()
while entry:
if not refere.has_key (entry.key):
entry_write (entry, output)
entry = it.next ()
return
def entry_write(entry, output):
'''Print a single entry as BiBTeX code.'''
native = isinstance(entry, Entry)
tp = entry.type
# write the type and key
output.write('@%s{%s,\n' % (tp.name, entry.key.key))
# create a hash containing all the keys, to keep track
# of those who have been already written
dico = {}
datefields = Config.get('bibtex/datefield').data
convert = Config.get('bibtex/months').data
# we have to handle the special case of the dates
# create the list of months
monthlist = range(0, 12)
for key in convert.keys():
monthlist[convert[key]-1] = key
dateformat = Config.get('bibtex+/dateformat').data
if native:
# loop over all the fields
for field in entry.keys():
if datefields.has_key(field):
# we are processing a date...
date = entry[field]
dico[datefields[field][0]] = str(date.year)
if date.month:
month = monthlist[date.month - 1]
if date.day:
month = dateformat % {'day': date.day,
'month' : month}
dico[datefields[field][1]] = month
else:
# we are processing a normal entry
dico[field] = _bibtex.get_native(entry.dict[field])
else:
for field in entry.keys():
# convert the field in a bibtex form
if datefields.has_key(field):
# we are processing a date...
date = entry[field]
dico[datefields[field][0]] = str(date.year)
if date.month:
month = monthlist[date.month - 1]
if date.day:
month = dateformat % {'day': date.day,
'month' : month}
dico[datefields[field][1]] = month
else:
# we are processing a normal entry
value = entry[field]
# eventually convert the crossref
if isinstance(value, Reference):
value = string.join(map(lambda item: item.key, value.list), ', ')
fieldtype = _fieldtype(Types.get_field(field))
dico[field] = _nativify(value, fieldtype)
first = True
# write according to the type order
for f in tp.mandatory + tp.optional:
# dico contains all the available fields
field = string.lower(f.name)
if not dico.has_key(field):
continue
if not first: output.write (',\n')
else: first = False
output.write(' %-14s = ' % f.name)
output.write(Utils.format (dico[field],
75, 19, 19)[19:])
del dico[field]
keys = dico.keys()
keys.sort()
for f in keys:
if not first: output.write (',\n')
else: first = False
output.write(' %-14s = ' % f)
output.write(Utils.format(dico[f],
75, 19, 19)[19:])
output.write ('\n}\n\n')
return
def _nativify(field, fieldtype):
'''Private method to convert from field to native format.'''
obj = _bibtex.reverse(fieldtype, Config.get('bibtex+/braces').data, field)
return _bibtex.get_native(obj)
def writer(it, output, preamble=[]):
''' Outputs all the items refered by the iterator <it> to the
<stdout> stream '''
# write header
if Config.get('base/advertise').data:
output.write(
'@comment{This file has been generated by Pybliographer}\n\n')
if preamble:
output.write('@preamble {')
output.write(preamble)
output.write('}\n\n')
# locate the entries that belong to a BibTeX database
# and those who contain crossreferences
field_table = Config.get('base/fields').data
crossref = None
for key in field_table.keys():
if field_table[key].type == Reference:
crossref = key
break
header = {}
refere = {}
entry = it.first()
while entry:
if isinstance(entry, Entry):
header[entry.key.base] = entry
if entry.has_key(crossref):
refere[entry.key] = entry
entry = it.next()
# write the preamble, if any
if preamble:
for i in preamble:
output.write('@Preamble {%s}\n' % i)
output.write('\n')
# write the string definitions corresponding to these entries
if len(header) > 0:
user = Config.get('bibtex/macros').data
for entry in header.values():
# write the list of strings
dict = _bibtex.get_dict(entry.parser)
if len(dict.keys()) == 0: continue
for k in dict.keys():
if not (user.has_key(k) and user[k][1] == 0):
output.write('@String{ ')
value = _bibtex.get_native(dict[k])
output.write('%s \t= %s' % (k, value))
output.write('}\n')
output.write('\n')
# write the crossreferenced ones
for entry in refere.values():
entry_write(entry, output)
# write the entries with no cross references
entry = it.first()
while entry:
if not refere.has_key(entry.key):
entry_write(entry, output)
entry = it.next()
return
def entry_write(entry, output):
'''Print a single entry as BiBTeX code.'''
native = isinstance(entry, Entry)
tp = entry.type
# write the type and key
output.write('@%s{%s,\n' % (tp.name, entry.key.key))
# create a hash containing all the keys, to keep track
# of those who have been already written
dico = {}
datefields = Config.get('bibtex/datefield').data
convert = Config.get('bibtex/months').data
# we have to handle the special case of the dates
# create the list of months
monthlist = range(0, 12)
for key in convert.keys():
monthlist[convert[key] - 1] = key
dateformat = Config.get('bibtex+/dateformat').data
if native:
# loop over all the fields
for field in entry.keys():
if datefields.has_key(field):
# we are processing a date...
date = entry[field]
dico[datefields[field][0]] = str(date.year)
if date.month:
month = monthlist[date.month - 1]
if date.day:
month = dateformat % {'day': date.day, 'month': month}
dico[datefields[field][1]] = month
else:
# we are processing a normal entry
dico[field] = _bibtex.get_native(entry.dict[field])
else:
for field in entry.keys():
# convert the field in a bibtex form
if datefields.has_key(field):
# we are processing a date...
date = entry[field]
dico[datefields[field][0]] = str(date.year)
if date.month:
month = monthlist[date.month - 1]
if date.day:
month = dateformat % {'day': date.day, 'month': month}
dico[datefields[field][1]] = month
else:
# we are processing a normal entry
value = entry[field]
# eventually convert the crossref
if isinstance(value, Reference):
value = string.join(map(lambda item: item.key, value.list),
', ')
fieldtype = _fieldtype(Types.get_field(field))
dico[field] = _nativify(value, fieldtype)
first = True
# write according to the type order
for f in tp.mandatory + tp.optional:
# dico contains all the available fields
field = string.lower(f.name)
if not dico.has_key(field):
continue
if not first: output.write(',\n')
else: first = False
output.write(' %-14s = ' % f.name)
output.write(Utils.format(dico[field], 75, 19, 19)[19:])
del dico[field]
keys = dico.keys()
keys.sort()
for f in keys:
if not first: output.write(',\n')
else: first = False
output.write(' %-14s = ' % f)
output.write(Utils.format(dico[f], 75, 19, 19)[19:])
output.write('\n}\n\n')
return
def _nativify(field, fieldtype):
'''Private method to convert from field to native format.'''
obj = _bibtex.reverse(fieldtype, Config.get('bibtex+/braces').data, field)
return _bibtex.get_native(obj)
