def download(bibfile, log): # pragma: no cover
with NamedTemporaryFile(delete=False) as fp:
log.info('download bib from {0}'.format(URL))
fp.write(urlopen(URL).read())
bibtool(fp.name)
stats = Counter()
def fix_entry_type(entry):
type_ = entry.type.lower()
type_map = {
'thesis': 'phdthesis',
'mvreference': 'misc',
'report': 'techreport'
}
entry.type = type_map.get(type_, type_)
stats.update([entry.type])
bibfile.update(fp.name, log=log)
bibfile.visit(fix_entry_type)
bibfile.check(log)
res = Table('entry type', '#')
res.extend(list(stats.most_common()))
res.append(['TOTAL', sum(stats.values())])
print('\n' + res.render(tablefmt='simple'))
def features(args):
bipa = TranscriptionSystem(args.system)
features = set()
for sound in bipa.sounds.values():
if sound.type not in ['marker', 'unknownsound']:
for k, v in sound.featuredict.items():
features.add((sound.type, k, v or ''))
table = Table('TYPE', 'FEATURE', 'VALUE')
table.extend(sorted(features))
print(table.render(tablefmt='simple'))
def stats(args):
"""
cldf stats <DATASET>
Print basic stats for CLDF dataset <DATASET>, where <DATASET> may be the path to
- a CLDF metadata file
- a CLDF core data file
"""
ds = _get_dataset(args)
print(ds)
md = Table('key', 'value')
md.extend(ds.properties.items())
print(md.render(condensed=False, tablefmt=None))
print()
t = Table('Path', 'Type', 'Rows')
for p, type_, r in ds.stats():
t.append([p, type_, r])
print(t.render(condensed=False, tablefmt=None))
def stats(args):
"""
cldf stats <DATASET>
Print basic stats for CLDF dataset <DATASET>, where <DATASET> may be the path to
- a CLDF metadata file
- a CLDF core data file
"""
ds = _get_dataset(args)
print(ds)
md = Table('key', 'value')
md.extend(ds.properties.items())
print(md.render(condensed=False, tablefmt=None))
print()
t = Table('Path', 'Type', 'Rows')
for p, type_, r in ds.stats():
t.append([p, type_, r])
print(t.render(condensed=False, tablefmt=None))
def update(newbib, bibfile, log): # pragma: no cover
bibtool(newbib)
stats = Counter()
def fix_entry_type(entry):
type_ = entry.type.lower()
type_map = {
'thesis': 'phdthesis',
'mvreference': 'misc',
'mvbook': 'book',
'bookinbook': 'book',
'report': 'techreport',
}
entry.type = type_map.get(type_, type_)
stats.update([entry.type])
bibfile.update(newbib, log=log)
bibfile.visit(fix_entry_type)
bibfile.check(log)
res = Table('entry type', '#')
res.extend(list(stats.most_common()))
res.append(['TOTAL', sum(stats.values())])
print('\n' + res.render(tablefmt='simple'))