def test_add_inlg_e(self):
from pyglottolog.monsterlib._libmonster import add_inlg_e, INLG
res = add_inlg_e(
{1: ('article', {'title': 'Grammar of language'})},
load_triggers(tree=self.tree)[INLG],
verbose=False)
assert_equal(res[1][1][INLG], 'language [abc]')
def test_add_inlg_e(self):
from pyglottolog.monsterlib._libmonster import add_inlg_e, INLG
res = add_inlg_e({1: ('article', {
'title': 'Grammar of language'
})},
self.api.triggers[INLG],
verbose=False)
assert_equal(res[1][1][INLG], 'language [abc]')
def main(repos=DATA_DIR, rebuild=False):
bibfiles = _bibfiles.Collection(references_path('bibtex', repos=repos))
previous = references_path('monster.csv', repos=repos)
replacements = build_path('monster-replacements.json', repos=repos)
monster = _bibfiles.BibFile(
build_path('monster-utf8.bib', repos=repos), encoding='utf-8', sortkey='bibkey')
tree = languoids_path('tree', repos=repos)
hht = HHTypes(repos=repos)
print('%s open/rebuild bibfiles db' % time.ctime())
db = bibfiles.to_sqlite(
build_path('_bibfiles.sqlite3', repos=repos).as_posix(),
rebuild=rebuild)
print('%s compile_monster' % time.ctime())
m = dict(db.merged())
print('%s load hh.bib' % time.ctime())
hhbib = bibfiles['hh.bib'].load()
# Annotate with macro_area from lgcode when lgcode is assigned manually
print('%s macro_area_from_lgcode' % time.ctime())
m = macro_area_from_lgcode(m, tree)
# Annotate with hhtype
print('%s annotate hhtype' % time.ctime())
m = markconservative(
m,
hht.triggers,
hhbib,
hht,
build_path('monstermark-hht.txt', repos=repos),
rank=lambda l: hht[l])
ltriggers = languoids.load_triggers(tree=tree)
# Annotate with lgcode
print('%s annotate lgcode' % time.ctime())
m = markconservative(
m,
ltriggers['lgcode'],
hhbib,
hht,
build_path('monstermark-lgc.txt', repos=repos))
# Annotate with inlg
print('%s add_inlg_e' % time.ctime())
m = add_inlg_e(m, ltriggers['inlg'])
# Print some statistics
stats = Counter()
print(time.ctime())
for t, f in m.values():
stats.update(['entry'])
for field in ['lgcode', 'hhtype', 'macro_area']:
if field in f:
stats.update([field])
print("# entries", stats['entry'])
for field in ['lgcode', 'hhtype', 'macro_area']:
print("with " + field, stats[field])
# Update the CSV with the previous mappings for later reference
print('%s update_previous' % time.ctime())
db.to_csvfile(previous)
print('%s save_replacements' % time.ctime())
db.to_replacements(replacements)
# Trickling back
print('%s trickle' % time.ctime())
db.trickle(bibfiles)
# Save
print('%s save as utf8' % time.ctime())
monster.save(m, verbose=False)
print('%s done.' % time.ctime())
def compile(api, log=None, rebuild=False):
log = log or logging.getLogger('pyglottolog')
previous = api.references_path('monster.csv')
replacements = api.references_path('replacements.json')
monster = BibFile(fname=api.build_path('monster-utf8.bib'),
encoding='utf-8',
sortkey='bibkey')
log.info('%s open/rebuild bibfiles db' % time.ctime())
db = api.bibfiles.to_sqlite(api.build_path('_bibfiles.sqlite3'),
rebuild=rebuild)
log.info('%s compile_monster' % time.ctime())
m = dict(db.merged())
log.info('%s load hh.bib' % time.ctime())
hhbib = api.bibfiles['hh.bib'].load()
# Annotate with macro_area from lgcode when lgcode is assigned manually
log.info('%s macro_area_from_lgcode' % time.ctime())
m = macro_area_from_lgcode(m, api.macroarea_map)
# Annotate with hhtype
log.info('%s annotate hhtype' % time.ctime())
m = markconservative(m,
api.hhtypes.triggers,
hhbib,
api.hhtypes,
api.build_path('monstermark-hht.txt'),
rank=lambda l: api.hhtypes[l])
# Annotate with lgcode
log.info('%s annotate lgcode' % time.ctime())
m = markconservative(m, api.triggers['lgcode'], hhbib, api.hhtypes,
api.build_path('monstermark-lgc.txt'))
# Annotate with inlg
log.info('%s add_inlg_e' % time.ctime())
m = add_inlg_e(m, api.triggers['inlg'])
# Print some statistics
stats = Counter()
log.info(time.ctime())
for t, f in m.values():
stats.update(['entry'])
for field in ['lgcode', 'hhtype', 'macro_area']:
if field in f:
stats.update([field])
log.info("# entries {0}".format(stats['entry']))
for field in ['lgcode', 'hhtype', 'macro_area']:
log.info("with {0}: {1}".format(field, stats[field]))
# Update the CSV with the previous mappings for later reference
log.info('%s update_previous' % time.ctime())
db.to_csvfile(previous)
log.info('%s save_replacements' % time.ctime())
db.to_replacements(replacements)
# Trickling back
log.info('%s trickle' % time.ctime())
db.trickle()
# Save
log.info('%s save as utf8' % time.ctime())
monster.save(m)
log.info('%s done.' % time.ctime())
def main(repos=DATA_DIR, rebuild=False):
bibfiles = _bibfiles.Collection(references_path('bibtex', repos=repos))
previous = references_path('monster.csv', repos=repos)
replacements = build_path('monster-replacements.json', repos=repos)
monster = _bibfiles.BibFile(
build_path('monster-utf8.bib', repos=repos), encoding='utf-8', sortkey='bibkey')
tree = languoids_path('tree', repos=repos)
hht = HHTypes(repos=repos)
print('%s open/rebuild bibfiles db' % time.ctime())
db = bibfiles.to_sqlite(
build_path('_bibfiles.sqlite3', repos=repos).as_posix(),
rebuild=rebuild)
print('%s compile_monster' % time.ctime())
m = dict(db.merged())
print('%s load hh.bib' % time.ctime())
hhbib = bibfiles['hh.bib'].load()
# Annotate with macro_area from lgcode when lgcode is assigned manually
print('%s macro_area_from_lgcode' % time.ctime())
m = macro_area_from_lgcode(m, tree)
# Annotate with hhtype
print('%s annotate hhtype' % time.ctime())
m = markconservative(
m,
hht.triggers,
hhbib,
hht,
build_path('monstermark-hht.txt', repos=repos),
rank=lambda l: hht[l])
ltriggers = languoids.load_triggers(tree=tree)
# Annotate with lgcode
print('%s annotate lgcode' % time.ctime())
m = markconservative(
m,
ltriggers['lgcode'],
hhbib,
hht,
build_path('monstermark-lgc.txt', repos=repos))
# Annotate with inlg
print('%s add_inlg_e' % time.ctime())
m = add_inlg_e(m, ltriggers['inlg'])
# Print some statistics
stats = Counter()
print(time.ctime())
for t, f in m.values():
stats.update(['entry'])
for field in ['lgcode', 'hhtype', 'macro_area']:
if field in f:
stats.update([field])
print("# entries", stats['entry'])
for field in ['lgcode', 'hhtype', 'macro_area']:
print("with " + field, stats[field])
# Update the CSV with the previous mappings for later reference
print('%s update_previous' % time.ctime())
db.to_csvfile(previous)
print('%s save_replacements' % time.ctime())
db.to_replacements(replacements)
# Trickling back
print('%s trickle' % time.ctime())
db.trickle(bibfiles)
# Save
print('%s save as utf8' % time.ctime())
monster.save(m, verbose=False)
print('%s done.' % time.ctime())
