def main(args):
Index('ducet', collkey(common.Value.name)).create(DBSession.bind)
repos = Path(
os.path.expanduser('~')).joinpath('venvs/lexirumah/lexirumah-data')
with transaction.manager:
dataset = common.Dataset(
id=lexirumah.__name__,
name="lexirumah",
publisher_name=
"Max Planck Institute for the Science of Human History",
publisher_place="Jena",
publisher_url="http://shh.mpg.de",
license="http://creativecommons.org/licenses/by/4.0/",
domain='lexirumah.model-ling.eu',
contact='*****@*****.**',
jsondata={
'license_icon':
'cc-by.png',
'license_name':
'Creative Commons Attribution 4.0 International License'
})
DBSession.add(dataset)
glottolog_repos = Path(
lexirumah.__file__).parent.parent.parent.parent.joinpath(
'glottolog3', 'glottolog')
languoids = {l.id: l for l in Glottolog(glottolog_repos).languoids()}
concepticon = Concepticon(
Path(lexirumah.__file__).parent.parent.parent.parent.joinpath(
'concepticon', 'concepticon-data'))
conceptsets = {c.id: c for c in concepticon.conceptsets.values()}
skip = True
for dname in sorted(repos.joinpath('datasets').iterdir(),
key=lambda p: p.name):
#if dname.name == 'benuecongo':
# skip = False
#if skip:
# continue
if dname.is_dir() and dname.name != '_template':
mdpath = dname.joinpath('cldf', 'metadata.json')
if mdpath.exists():
print(dname.name)
import_cldf(dname, load(mdpath), languoids, conceptsets)
with transaction.manager:
load_families(Data(),
DBSession.query(LexiRumahLanguage),
glottolog_repos=glottolog_repos,
isolates_icon='tcccccc')
def main(args):
Index('ducet', collkey(common.Value.name)).create(DBSession.bind)
repos = Path(os.path.expanduser('~')).joinpath('venvs/lexirumah/lexirumah-data')
with transaction.manager:
dataset = common.Dataset(
id=lexirumah.__name__,
name="lexirumah",
publisher_name="Max Planck Institute for the Science of Human History",
publisher_place="Jena",
publisher_url="http://shh.mpg.de",
license="http://creativecommons.org/licenses/by/4.0/",
domain='lexirumah.model-ling.eu',
contact='*****@*****.**',
jsondata={
'license_icon': 'cc-by.png',
'license_name': 'Creative Commons Attribution 4.0 International License'})
DBSession.add(dataset)
glottolog_repos = Path(
lexirumah.__file__).parent.parent.parent.parent.joinpath('glottolog3', 'glottolog')
languoids = {l.id: l for l in Glottolog(glottolog_repos).languoids()}
concepticon = Concepticon(
Path(lexirumah.__file__).parent.parent.parent.parent.joinpath('concepticon', 'concepticon-data'))
conceptsets = {c.id: c for c in concepticon.conceptsets.values()}
skip = True
for dname in sorted(repos.joinpath('datasets').iterdir(), key=lambda p: p.name):
#if dname.name == 'benuecongo':
# skip = False
#if skip:
# continue
if dname.is_dir() and dname.name != '_template':
mdpath = dname.joinpath('cldf', 'metadata.json')
if mdpath.exists():
print(dname.name)
import_cldf(dname, load(mdpath), languoids, conceptsets)
with transaction.manager:
load_families(
Data(),
DBSession.query(LexiRumahLanguage),
glottolog_repos=glottolog_repos,
isolates_icon='tcccccc')
def main(args):
Index('ducet', collkey(common.Value.name)).create(DBSession.bind)
repos = Path(os.path.expanduser('~')).joinpath('venvs/lexibank/lexibank-data')
with transaction.manager:
dataset = common.Dataset(
id=lexibank.__name__,
name="lexibank",
publisher_name="Max Planck Institute for the Science of Human History",
publisher_place="Jena",
publisher_url="http://shh.mpg.de",
license="http://creativecommons.org/licenses/by/4.0/",
domain='lexibank.clld.org',
contact='*****@*****.**',
jsondata={
'license_icon': 'cc-by.png',
'license_name': 'Creative Commons Attribution 4.0 International License'})
DBSession.add(dataset)
glottolog = Glottolog(
Path(lexibank.__file__).parent.parent.parent.parent.joinpath('glottolog3', 'glottolog'))
languoids = {l.id: l for l in glottolog.languoids()}
concepticon = Concepticon(
Path(lexibank.__file__).parent.parent.parent.parent.joinpath('concepticon', 'concepticon-data'))
conceptsets = {c['ID']: c for c in concepticon.conceptsets()}
for dname in repos.joinpath('datasets').iterdir():
#if dname.name not in ['acbd']:
# continue
if dname.is_dir() and dname.name != '_template':
#if dname.name != 'zenodo34092':
# continue
mdpath = dname.joinpath('metadata.json')
if mdpath.exists():
print(dname.name)
import_cldf(dname, load(mdpath), languoids, conceptsets)
with transaction.manager:
load_families(
Data(),
DBSession.query(LexibankLanguage),
glottolog=languoids,
isolates_icon='tcccccc')
def test_collkey(data):
from clld.db.util import collkey
from clld.db.models.common import Language
collkey(Language.name)
def order(self):
return collkey(Value.name)
def main(args):
Index('ducet', collkey(func.translate(common.Value.name, 'ˈ,ː,ˌ', '')))\
.create(DBSession.bind)
data = Data()
dataset = common.Dataset(
id=numerals.__name__,
name="Numeralbank",
publisher_name="Max Planck Institute for the Science of Human History",
publisher_place="Jena",
publisher_url="http://www.shh.mpg.de",
license="http://creativecommons.org/licenses/by/4.0/",
domain="numerals.clld.org",
jsondata={
"license_icon": "cc-by.png",
"license_name": "Creative Commons Attribution 4.0 International License",
},
)
DBSession.add(dataset)
for i, (id_, name) in enumerate(
[("verkerkannemarie", "Annemarie Verkerk"), ("rzymskichristoph", "Christoph Rzymski")]
):
ed = data.add(common.Contributor, id_, id=id_, name=name)
common.Editor(dataset=dataset, contributor=ed, ord=i + 1)
DBSession.add(dataset)
# Take meta data from curated CLDF data set
ds = Wordlist.from_metadata(data_repos[1]['data_path'] / 'cldf' / 'cldf-metadata.json')
# Parameters:
for parameter in ds["ParameterTable"]:
data.add(
models.NumberParameter,
parameter["ID"],
id=parameter["ID"],
name="{0}".format(parameter["ID"]),
concepticon_id=parameter['Concepticon_ID'],
)
basis_parameter = data.add(
models.NumberParameter,
"0",
id="0",
name="Base",
)
load_family_langs = []
for language in ds["LanguageTable"]:
lang = data.add(
models.Variety,
language["ID"],
id=language["ID"],
name=language["Name"],
latitude=language["Latitude"],
longitude=language["Longitude"],
creator=language["Contributor"],
comment=language["Comment"],
url_soure_name=language["SourceFile"],
)
if language["Glottocode"]:
load_family_langs.append((language["Glottocode"], lang))
# get orginal forms
ds = Wordlist.from_metadata(data_repos[0]['data_path'] / 'cldf' / 'cldf-metadata.json')
org_forms = {f["ID"]: f for f in ds["FormTable"]}
d = data_repos[1]
contrib = data.add(
common.Contribution,
d['id'],
id=d['id'],
name=d['name']
)
# process curated forms
ds = Wordlist.from_metadata(data_repos[1]['data_path'] / 'cldf' / 'cldf-metadata.json')
# Add Base info if given
for language in ds["LanguageTable"]:
if language["Base"]:
basis = language["Base"]
de = data["DomainElement"].get(basis)
if not de:
de = data.add(
common.DomainElement,
basis,
id=text_type(basis),
name=text_type(basis),
parameter=basis_parameter,
)
vs = data.add(
common.ValueSet,
data["Variety"][language["ID"]].id,
id=data["Variety"][language["ID"]].id,
language=data["Variety"][language["ID"]],
parameter=basis_parameter,
contribution=contrib,
)
common.Value(
id=data["Variety"][language["ID"]].id,
valueset=vs,
domainelement=de
)
# Forms:
for form in ds["FormTable"]:
valueset_id = "{0}-{1}".format(form["Parameter_ID"], form["Language_ID"])
valueset = data["ValueSet"].get(valueset_id)
# Unless we already have something in the VS:
if not valueset:
if form["Language_ID"] in data["Variety"]:
vs = data.add(
common.ValueSet,
valueset_id,
id=valueset_id,
language=data["Variety"][form["Language_ID"]],
parameter=data["NumberParameter"][form["Parameter_ID"]],
contribution=contrib,
)
org_form = ""
if form["ID"] in org_forms:
if unicodedata.normalize('NFC', org_forms[form["ID"]]["Form"].strip()) != form["Form"]:
org_form = org_forms[form["ID"]]["Form"]
else:
org_form = "no original form"
DBSession.add(
models.NumberLexeme(
id=form["ID"],
name=form["Form"],
comment=form["Comment"],
is_loan=form["Loan"],
other_form=form["Other_Form"],
org_form=org_form,
is_problematic=form["Problematic"],
valueset=vs,
)
)
load_families(
Data(),
load_family_langs,
glottolog_repos=gl_repos,
strict=False,
)
distinct_varieties = DBSession.query(models.Variety.family_pk).distinct().all()
families = dict(
zip([r[0] for r in distinct_varieties], color.qualitative_colors(len(distinct_varieties)))
)
for l in DBSession.query(models.Variety):
l.jsondata = {"color": families[l.family_pk]}
p = common.Parameter.get("0")
colors = color.qualitative_colors(len(p.domain))
for i, de in enumerate(p.domain):
de.jsondata = {"color": colors[i]}
def test_collkey(self):
from clld.db.util import collkey
from clld.db.models.common import Language
collkey(Language.name)
def order(self):
return collkey(Counterpart.phonetic)
def main(args):
if DBSession.bind.dialect.name == 'postgresql':
Index('ducet', collkey(common.Value.name)).create(DBSession.bind)
def data_file(*comps):
return Path(args.data_repos).joinpath('tsammalexdata', 'data', *comps)
data = Data()
data.add(
common.Dataset,
'tsammalex',
id="tsammalex",
name="Tsammalex",
description="Tsammalex: A lexical database on plants and animals",
publisher_name="Max Planck Institute for the Science of Human History",
publisher_place="Jena",
publisher_url="http://www.shh.mpg.de",
domain='tsammalex.clld.org',
license='http://creativecommons.org/licenses/by/4.0/',
contact='*****@*****.**',
jsondata={
'license_icon': 'cc-by.png',
'license_name': 'Creative Commons Attribution 4.0 International License'})
data.add(common.Contribution, 'tsammalex', name="Tsammalex", id="tsammalex")
for rec in Database.from_file(data_file('sources.bib'), lowercase=True):
data.add(models.Bibrec, rec.id, _obj=bibtex2source(rec, cls=models.Bibrec))
load_ecoregions(data_file, data)
load_countries(data)
second_languages = {}
def languoid_visitor(lang, row, _):
add_language_codes(
data, lang, lang.id.split('-')[0], None, glottocode=row[2] or None)
second_languages[row[0]] = row[8]
def habitat_visitor(cat, *_):
cat.is_habitat = True
def taxon_visitor(auto, taxon, *_):
if auto.get(taxon.id):
update_taxon_data(taxon, auto[taxon.id], data)
else:
print('--> missing in taxa.json:', taxon.id, taxon.name)
taxon.countries_str = ' '.join([e.id for e in taxon.countries])
taxon.ecoregions_str = ' '.join([e.id for e in taxon.ecoregions])
auto = {s['id']: s for s in jsonload(data_file('taxa.json'))}
for model, kw in [
(models.Lineage, {}),
(models.Use, {}),
(models.TsammalexContributor, {}),
(models.Languoid, dict(visitor=languoid_visitor)),
(models.Category, dict(name='categories')),
(models.Category, dict(name='habitats', visitor=habitat_visitor)),
(models.Taxon, dict(visitor=partial(taxon_visitor, auto))),
(models.Name, dict(filter_=lambda r: 'xxx' not in r[1])),
]:
from_csv(data_file, model, data, **kw)
for key, ids in second_languages.items():
target = data['Languoid'][key]
for lid in models.split_ids(ids):
if lid in data['Languoid']:
# we ignore 2nd languages which are not yet in Tsammalex.
target.second_languages.append(data['Languoid'][lid])
def image_url(source_url, type_):
return re.sub('\.[a-zA-Z]+$', '.jpg', source_url).replace(
'/original/', '/%s/' % type_)
for fname in data_files(data_file, 'images.csv'):
for image in reader(fname, namedtuples=True, delimiter=","):
if image.taxa__id not in data['Taxon']:
continue
url = URL(image.source_url)
if url.host() != 'edmond.mpdl.mpg.de':
continue
jsondata = dict(
url=image.source_url,
thumbnail=image_url(image.source_url, 'thumbnail'),
web=image_url(image.source_url, 'web'))
f = common.Parameter_files(
object=data['Taxon'][image.taxa__id],
id=image.id,
name=image.tags,
jsondata=jsondata,
mime_type=image.mime_type)
for k in 'source creator date place comments permission'.split():
v = getattr(image, k)
if v:
models.ImageData(key=k, value=v, image=f)
def main(args):
fts.index('fts_index', Word.fts, DBSession.bind)
DBSession.execute("CREATE EXTENSION IF NOT EXISTS unaccent WITH SCHEMA public;")
if DBSession.bind.dialect.name == 'postgresql':
Index('ducet', collkey(common.Unit.name)).create(DBSession.bind)
data = Data()
dataset = common.Dataset(
id=dictionaria.__name__,
name="Dictionaria",
description="The Dictionary Journal",
published=date(2017, 3, 30),
contact='*****@*****.**',
domain='dictionaria.clld.org',
publisher_name="Max Planck Institute for the Science of Human History",
publisher_place="Jena",
publisher_url="https://shh.mpg.de",
license="http://creativecommons.org/licenses/by/4.0/",
jsondata={
'license_icon': 'cc-by.png',
'license_name': 'Creative Commons Attribution 4.0 International License'})
for i, (id_, name) in enumerate([
('haspelmathmartin', 'Martin Haspelmath'),
('stiebelsbarbara', 'Barbara Stiebels')
]):
ed = data.add(common.Contributor, id_, id=id_, name=name)
common.Editor(dataset=dataset, contributor=ed, ord=i + 1)
DBSession.add(dataset)
for id_, name in LGR_ABBRS.items():
DBSession.add(common.GlossAbbreviation(id=id_, name=name))
comparison_meanings = {}
print('loading concepts ...')
glosses = set()
concepticon = Concepticon(
REPOS.joinpath('..', '..', 'concepticon', 'concepticon-data'))
if not args.no_concepts:
for conceptset in concepticon.conceptsets.values():
if conceptset.gloss in glosses:
continue
glosses.add(conceptset.gloss)
cm = data.add(
ComparisonMeaning,
conceptset.id,
id=conceptset.id,
name=conceptset.gloss.lower(),
description=conceptset.definition,
concepticon_url='http://concepticon.clld.org/parameters/%s' % conceptset.id)
comparison_meanings[cm.id] = cm
DBSession.flush()
print('... done')
comparison_meanings = {k: v.pk for k, v in comparison_meanings.items()}
submissions = []
for submission in REPOS.joinpath(
'submissions-internal' if args.internal else 'submissions').glob('*'):
if not submission.is_dir():
continue
try:
submission = Submission(submission)
except ValueError:
continue
md = submission.md
if md is None:
print('no md', submission.id)
continue
if not md['date_published']:
print('no date', submission.id)
continue
id_ = submission.id
if args.dict and args.dict != id_ and args.dict != 'all':
print('not selected', submission.id)
continue
lmd = md['language']
props = md.get('properties', {})
props.setdefault('custom_fields', [])
props['metalanguage_styles'] = {}
for v, s in zip(props.get('metalanguages', {}).values(),
['success', 'info', 'warning', 'important']):
props['metalanguage_styles'][v] = s
props['custom_fields'] = ['lang-' + f if f in props['metalanguage_styles'] else f
for f in props['custom_fields']]
props.setdefault('choices', {})
language = data['Variety'].get(lmd['glottocode'])
if not language:
language = data.add(
Variety, lmd['glottocode'], id=lmd['glottocode'], name=lmd['name'])
md['date_published'] = md['date_published'] or date.today().isoformat()
if '-' not in md['date_published']:
md['date_published'] = md['date_published'] + '-01-01'
dictionary = data.add(
Dictionary,
id_,
id=id_,
number=md.get('number'),
name=props.get('title', lmd['name'] + ' dictionary'),
description=submission.description,
language=language,
published=date(*map(int, md['date_published'].split('-'))),
doi=md.get('doi'),
jsondata=props)
for i, spec in enumerate(md['authors']):
if not isinstance(spec, dict):
cname, address = spec, None
spec = {}
else:
cname, address = spec['name'], spec.get('affiliation')
name = HumanName(cname)
cid = slug('%s%s' % (name.last, name.first))
contrib = data['Contributor'].get(cid)
if not contrib:
contrib = data.add(
common.Contributor,
cid,
id=cid,
name=cname,
address=address,
url=spec.get('url'),
email=spec.get('email'))
DBSession.add(common.ContributionContributor(
ord=i + 1,
primary=spec.get('primary', True),
contributor=contrib,
contribution=dictionary))
submissions.append((dictionary.id, language.id, submission))
transaction.commit()
for did, lid, submission in submissions:
transaction.begin()
print('loading %s ...' % submission.id)
dictdata = Data()
lang = Variety.get(lid)
submission.load_sources(Dictionary.get(did), dictdata)
submission.load_examples(Dictionary.get(did), dictdata, lang)
submission.dictionary.load(
submission,
dictdata,
Dictionary.get(did),
lang,
comparison_meanings,
OrderedDict(submission.md.get('properties', {}).get('labels', [])))
transaction.commit()
print('... done')
transaction.begin()
load_families(
Data(),
[v for v in DBSession.query(Variety) if re.match('[a-z]{4}[0-9]{4}', v.id)],
glottolog_repos='../../glottolog/glottolog')
def order(self):
return collkey(Word.name), Word.number
def main(args):
Index('ducet', collkey(common.Value.name)).create(DBSession.bind)
data = Data()
def read(table):
return list(dsv.reader(
args.data_file(table + '.csv'), delimiter=',', namedtuples=True))
dataset = common.Dataset(
id=ids.__name__,
name="IDS",
description="The Intercontinental Dictionary Series",
#published=date(2009, 8, 15),
publisher_name="Max Planck Institute for Evolutionary Anthropology",
publisher_place="Leipzig",
publisher_url="http://www.eva.mpg.de",
license='http://creativecommons.org/licenses/by-nc-nd/2.0/de/deed.en',
contact='*****@*****.**',
jsondata={
'license_icon': 'http://i.creativecommons.org/l/by-nc-nd/2.0/de/88x31.png',
'license_name':
'Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Germany License',
},
domain='ids.clld.org')
DBSession.add(dataset)
data_desc = defaultdict(dict)
for l in read('x_lg_data'):
data_desc[l.lg_id][l.map_ids_data] = l.header
# language lang
exclude = []
for l in read('lang'):
if l.status == '1':
exclude.append(l.lg_id)
continue
lang = data.add(models.IdsLanguage, l.lg_id, id=l.lg_id, name=l.lg_name)
data.add(
models.Dictionary, l.lg_id,
id=l.lg_id, name=l.lg_name,
language=lang,
default_representation=data_desc[l.lg_id].get('1'),
alt_representation=data_desc[l.lg_id].get('2'),
jsondata=dict(status=l.status, date=l.date))
iso_codes = {l.id: l.sil_code for l in read('sil_lang')}
languages = {l.lg_id: iso_codes[l.sil_id]
for l in read('x_lg_sil') if l.lg_id not in exclude}
load_families(Data(), [(v, data['IdsLanguage'][k]) for k, v in languages.items()])
contributors = defaultdict(list)
sources = defaultdict(list)
for l in read('lang_compilers'):
if l.lg_id in exclude:
continue
if l.name == "BIBIKO":
continue
#name lg_id what_did_id
if int(l.what_did_id) in models.ROLES:
contributors[slug(l.name)].append((l.name, int(l.what_did_id), l.lg_id))
else:
if int(l.what_did_id) not in [4, 395]:
print(l.what_did_id)
raise ValueError
sources[l.name].append(l.lg_id)
for s, roles in contributors.items():
name = roles[0][0]
c = data.add(common.Contributor, s, id=s, name=name)
if name == 'Mary Ritchie Key':
c.address = 'University of California, Irvine'
for lg, specs in groupby(sorted(roles, key=lambda r: r[2]), key=lambda r: r[2]):
sroles = sorted(
[s[1] for s in specs],
reverse=True,
key=lambda what: what + 2 if what == 2 else what)
what = sroles[0]
DBSession.add(common.ContributionContributor(
contribution=data['Dictionary'][lg],
contributor=c,
ord=what,
primary=what == 2))
data.add(
common.Contributor, 'bernardcomrie',
id='bernardcomrie',
name="Bernard Comrie",
address="Max Planck Institute for Evolutionary Anthropology, Leipzig")
for i, editor in enumerate(['maryritchiekey', 'bernardcomrie']):
common.Editor(dataset=dataset, contributor=data['Contributor'][editor], ord=i + 1)
for i, name in enumerate(sorted(sources.keys())):
c = data.add(common.Source, name, id=str(i + 1), name=name, description=name)
DBSession.flush()
for name, lgs in sources.items():
for lg in lgs:
if lg in exclude:
continue
try:
DBSession.add(common.LanguageSource(
language_pk=data['IdsLanguage'][lg].pk,
source_pk=data['Source'][name].pk))
except KeyError:
print(name, lgs)
continue
altnames = {}
for i, l in enumerate(read('alt_names')):
if l.name in altnames:
identifier = altnames[l.name]
else:
identifier = data.add(
common.Identifier, l.name,
id='name-%s' % i, type='name', name=l.name, description='IDS')
altnames[l.name] = identifier
if l.lg_id not in exclude and l.name != data['IdsLanguage'][l.lg_id].name:
DBSession.add(common.LanguageIdentifier(
identifier=identifier,
language=data['IdsLanguage'][l.lg_id]))
# parameter chapter/entry
for l in read('chapter'):
data.add(models.Chapter, l.chap_id, id=l.chap_id, name=l.chap_title)
entries = {}
for l in read('entry'):
id_ = '%s-%s' % (l.chap_id, l.entry_id)
name = l.trans_english
if name in entries:
entries[name] += 1
name = name + ' (%s)' % entries[name]
else:
entries[name] = 1
kw = {'id': id_, 'name': name, 'chapter': data['Chapter'][l.chap_id]}
for ll in 'french russian spanish portugese'.split():
kw[ll] = getattr(l, 'trans_' + ll)
data.add(models.Entry, id_, sub_code=l.entry_id, **kw)
misaligned = []
DBSession.flush()
for entity in 'IdsLanguage Entry Chapter Dictionary'.split():
for k in data[entity].keys()[:]:
data[entity][k] = data[entity][k].pk
synsets = set()
for lg_id, entries in groupby(
sorted(read('ids'), key=lambda t: t.lg_id), lambda k: k.lg_id):
if lg_id in exclude or not lg_id:
continue
# keep the memory footprint reasonable
transaction.commit()
transaction.begin()
try:
language = common.Language.get(data['IdsLanguage'][lg_id])
except KeyError:
print(list(entries))
raise
desc = data_desc.get(lg_id, {})
words = defaultdict(list)
for l in entries:
if empty.match(l.data_1):
continue
entry_id = '%s-%s' % (l.chap_id, l.entry_id)
if entry_id not in data['Entry']:
data.add(
models.Entry, entry_id,
id=entry_id,
name=entry_id,
#active=False,
sub_code=l.entry_id,
chapter_pk=data['Chapter'][l.chap_id])
DBSession.flush()
data['Entry'][entry_id] = data['Entry'][entry_id].pk
id_ = '%s-%s' % (entry_id, l.lg_id)
if id_ in synsets:
vs = models.Synset.get(id_)
else:
vs = models.Synset(
id=id_,
comment=get_string(l.comment or ''),
alt_representation=get_string(l.data_2),
language=language,
contribution_pk=data['Dictionary'][l.lg_id],
parameter_pk=data['Entry'][entry_id])
synsets.add(id_)
trans1 = list(split_counterparts(l.data_1))
trans2 = None if empty.match(l.data_2) else list(split_counterparts(l.data_2))
if trans2:
if len(trans2) != len(trans1):
if language.id != '238':
misaligned.append((l.chap_id, l.entry_id, l.lg_id))
#print('===', language.id, language.name)
#print(l.data_1)
#print(l.data_2)
#assert language.id == '238' # Rapa Nui has problems!
trans2 = None
for i, word in enumerate(trans1):
v = models.Counterpart(
id=id_ + '-' + str(i + 1 + len(vs.values)),
name=word,
description=desc.get('1'),
valueset=vs)
words[word].append((v, trans2[i] if trans2 else None))
for i, form in enumerate(words.keys()):
# Since we identify words based on their string representation, we have to
# make sure a word has the same alternative transcription for all meanings.
if language.id == '238':
alt_names = []
else:
alt_names = set(norm(w[1] or '', desc.get('2'), language.id)
for w in words[form])
alt_names = nfilter(alt_names)
try:
assert len(alt_names) <= 1
except AssertionError:
print('---', language.id, language.name)
print(alt_names)
word = models.Word(
id='%s-%s' % (language.id, i + 1),
name=form,
description=desc.get('1'),
language=language,
alt_name=', '.join(alt_names) if alt_names else None,
alt_description=desc.get('2')
)
for v, _ in words[form]:
word.counterparts.append(v)
DBSession.add(word)
DBSession.flush()
with dsv.UnicodeWriter(args.data_file('misaligned.csv')) as fp:
fp.writerows(misaligned)
def main(args):
Index('ducet', collkey(common.Value.name)).create(DBSession.bind)
data = Data()
concept_list = Concepticon(CONCEPTICON_REPOS).conceptlist('Key-2016-1310')
def concepticon_id(ids_code):
for item in concept_list:
if item['IDS_ID'] == ids_code:
return int(item['CONCEPTICON_ID']) if item['CONCEPTICON_ID'] else None
def read(table):
fname = args.data_file(table + '.all.csv')
if not fname.exists():
fname = args.data_file(table + '.csv')
return list(dsv.reader(fname, namedtuples=True))
dataset = common.Dataset(
id=ids.__name__,
name="IDS",
description="The Intercontinental Dictionary Series",
published=date(2015, 5, 25),
publisher_name="Max Planck Institute for Evolutionary Anthropology",
publisher_place="Leipzig",
publisher_url="http://www.eva.mpg.de",
license='http://creativecommons.org/licenses/by/4.0/',
contact='*****@*****.**',
jsondata={
'license_icon': 'cc-by.png',
'license_name':
'Creative Commons Attribution 4.0 International License',
},
domain='ids.clld.org')
DBSession.add(dataset)
for rec in Database.from_file(args.data_file('sources.bib'), lowercase=True):
if rec.id not in data['Source']:
data.add(common.Source, rec.id, _obj=bibtex2source(rec))
DBSession.flush()
data_desc = defaultdict(dict)
for l in read('x_lg_data'):
data_desc[l.lg_id][l.map_ids_data] = l.header
# language lang
iso_codes = {l.id: l.sil_code for l in read('sil_lang')}
iso_codes = {l.lg_id: iso_codes[l.sil_id] for l in read('x_lg_sil')}
languages = []
exclude = []
for l in read('lang'):
if l.status == '1':
exclude.append(l.lg_id)
continue
lang_changed = LANGS.get(int(l.lg_id), {})
code = lang_changed.get('glotto') or lang_changed.get('iso') or iso_codes.get(l.lg_id)
lang = data.add(models.IdsLanguage, l.lg_id, id=l.lg_id, name=lang_changed.get('name', l.lg_name))
if code:
languages.append((code, lang))
data.add(
models.Dictionary, l.lg_id,
id=l.lg_id, name=l.lg_name,
language=lang,
default_representation=data_desc[l.lg_id].get('1'),
alt_representation=data_desc[l.lg_id].get('2'),
jsondata=dict(status=l.status, date=l.date))
iso2glotto = {}
for l in walk_tree(tree=languoids_path('tree', GLOTTOLOG_REPOS)):
if l.iso:
iso2glotto[l.iso] = l.id
load_families(
Data(), [(iso2glotto.get(c, c), l) for c, l in languages], glottolog=Glottolog(GLOTTOLOG_REPOS), isolates_icon='tcccccc')
contributors = defaultdict(list)
sources = defaultdict(list)
for l in read('lang_compilers'):
if l.lg_id in exclude:
continue
if l.name == "BIBIKO":
continue
#name lg_id what_did_id
if int(l.what_did_id) in models.ROLES:
contributors[slug(l.name)].append((l.name, int(l.what_did_id), l.lg_id))
else:
assert int(l.what_did_id) in [4, 395]
sources[l.name].append(l.lg_id)
for s, roles in contributors.items():
name = roles[0][0]
c = data.add(common.Contributor, s, id=s, name=name)
if name == 'Mary Ritchie Key':
c.address = 'University of California, Irvine'
for lg, specs in groupby(sorted(roles, key=lambda r: r[2]), key=lambda r: r[2]):
sroles = sorted(
[s[1] for s in specs],
reverse=True,
key=lambda what: what + 2 if what == 2 else what)
what = sroles[0]
DBSession.add(common.ContributionContributor(
contribution=data['Dictionary'][lg],
contributor=c,
ord=what,
primary=what == 2))
data.add(
common.Contributor, 'bernardcomrie',
id='bernardcomrie',
name="Bernard Comrie",
address="University of California, Santa Barbara")
for i, editor in enumerate(['maryritchiekey', 'bernardcomrie']):
common.Editor(dataset=dataset, contributor=data['Contributor'][editor], ord=i + 1)
#for i, name in enumerate(sorted(sources.keys())):
# c = data.add(common.Source, name, id=str(i + 1), name=name, description=name)
DBSession.flush()
for name, lgs in sources.items():
for _src in name.split(';'):
src = data['Source'].get(_src.strip())
if not src:
print('-- missing source --', _src)
raise ValueError
for lg in lgs:
if lg in exclude:
continue
assert lg in data['Dictionary']
DBSession.add(common.ContributionReference(
contribution_pk=data['Dictionary'][lg].pk, source_pk=src.pk))
altnames = {}
for i, l in enumerate(read('alt_names')):
if l.name in altnames:
identifier = altnames[l.name]
else:
identifier = data.add(
common.Identifier, l.name,
id='name-%s' % i, type='name', name=l.name, description='IDS')
altnames[l.name] = identifier
if l.lg_id not in exclude and l.name != data['IdsLanguage'][l.lg_id].name:
DBSession.add(common.LanguageIdentifier(
identifier=identifier,
language=data['IdsLanguage'][l.lg_id]))
# parameter chapter/entry
for l in read('chapter'):
data.add(models.Chapter, l.chap_id, id=l.chap_id, name=l.chap_title)
entries = {}
for l in read('entry'):
id_ = '%s-%s' % (l.chap_id, l.entry_id)
name = l.trans_english
if name in entries:
entries[name] += 1
name = name + ' (%s)' % entries[name]
else:
entries[name] = 1
kw = {
'id': id_,
'name': name,
'concepticon_id': concepticon_id(id_),
'chapter': data['Chapter'][l.chap_id]}
for ll in 'french russian spanish portugese'.split():
kw[ll] = getattr(l, 'trans_' + ll)
data.add(models.Entry, id_, sub_code=l.entry_id, **kw)
misaligned = []
DBSession.flush()
for entity in 'IdsLanguage Entry Chapter Dictionary'.split():
for k in data[entity].keys()[:]:
data[entity][k] = data[entity][k].pk
synsets = set()
counterparts = set()
problems = defaultdict(list)
for lg_id, entries in groupby(
sorted(read('ids'), key=lambda t: t.lg_id), lambda k: k.lg_id):
if lg_id in exclude or not lg_id:
continue
# keep the memory footprint reasonable
transaction.commit()
transaction.begin()
language = common.Language.get(data['IdsLanguage'][lg_id])
desc = data_desc.get(lg_id, {})
words = defaultdict(list)
for l in entries:
if empty.match(l.data_1):
continue
entry_id = '%s-%s' % (l.chap_id, l.entry_id)
if entry_id not in data['Entry']:
continue
#data.add(
# models.Entry, entry_id,
# id=entry_id,
# name=entry_id,
# concepticon_id=concepticon_id(entry_id),
# sub_code=l.entry_id,
# chapter_pk=data['Chapter'][l.chap_id])
#DBSession.flush()
#data['Entry'][entry_id] = data['Entry'][entry_id].pk
id_ = '%s-%s' % (entry_id, l.lg_id)
if id_ in synsets:
vs = models.Synset.get(id_)
else:
vs = models.Synset(
id=id_,
comment=get_string(l.comment or ''),
alt_representation=get_string(l.data_2),
language=language,
contribution_pk=data['Dictionary'][l.lg_id],
parameter_pk=data['Entry'][entry_id])
synsets.add(id_)
trans1 = list(split_counterparts(l.data_1))
trans2 = None if empty.match(l.data_2) else list(split_counterparts(l.data_2))
if trans2:
if len(trans2) != len(trans1):
if language.id != '238':
misaligned.append((l.chap_id, l.entry_id, l.lg_id))
#print('===', language.id, language.name)
#print(l.data_1)
#print(l.data_2)
# 83 cases of misaligned transcriptions
trans2 = None
for i, word in enumerate(trans1):
cid = id_ + '-' + str(i + 1 + len(vs.values))
if cid not in counterparts:
v = models.Counterpart(
id=cid,
name=word,
description=desc.get('1'),
valueset=vs)
words[word].append((v, trans2[i] if trans2 else None))
counterparts.add(cid)
else:
print(cid)
#12 - 420 - 811 - 3
#5 - 390 - 818 - 3
#2 - 930 - 819 - 3
#2 - 930 - 819 - 3
#3 - 120 - 819 - 3
#10 - 140 - 822 - 3
#9 - 160 - 825 - 3
#2 - 430 - 829 - 4
for i, form in enumerate(words.keys()):
# Since we identify words based on their string representation, we have to
# make sure a word has the same alternative transcription for all meanings.
if language.id == '238':
alt_names = []
else:
alt_names = set(norm(w[1] or '', desc.get('2'), language.id)
for w in words[form])
alt_names = nfilter(alt_names)
try:
assert len(alt_names) <= 1
except AssertionError:
problems[(language.id, language.name)].append(alt_names)
word = models.Word(
id='%s-%s' % (language.id, i + 1),
name=form,
description=desc.get('1'),
language=language,
alt_name=', '.join(alt_names) if alt_names else None,
alt_description=desc.get('2')
)
for v, _ in words[form]:
word.counterparts.append(v)
DBSession.add(word)
DBSession.flush()
with dsv.UnicodeWriter(args.data_file('misaligned.csv')) as fp:
fp.writerows(misaligned)
# about 250 cases where alternative transcriotions do not covary across meanings.
for k, v in problems.items():
print(k, len(v))
def order(self):
return collkey(func.translate(Value.name, 'ˈ,ː,ˌ', ''))
def main(args):
sources = get_sources(args)
Index('ducet1', collkey(common.Value.name)).create(DBSession.bind)
Index('ducet2', collkey(models.Counterpart.phonetic)).create(DBSession.bind)
data = Data()
glottocodes, geocoords = {}, defaultdict(lambda: (None, None))
for k, v in glottocodes_by_isocode(
'postgresql://robert@/glottolog3',
cols=['id', 'latitude', 'longitude']).items():
glottocodes[k] = v[0]
geocoords[k] = (v[1], v[2])
geocoords['win'] = (43.50, -88.50)
dataset = common.Dataset(
id=csd.__name__,
name="Comparative Siouan Dictionary",
description="Comparative Siouan Dictionary",
publisher_name="Max Planck Institute for Evolutionary Anthropology",
publisher_place="Leipzig",
publisher_url="http://www.eva.mpg.de",
license="http://creativecommons.org/licenses/by/4.0/",
contact='*****@*****.**',
domain='csd.clld.org',
jsondata={
'license_icon': 'cc-by.png',
'license_name': 'Creative Commons Attribution 4.0 International License'})
DBSession.add(dataset)
contrib = common.Contribution(id='csd', name=dataset.name)
for i, spec in enumerate([
('Robert L. Rankin', True),
('Richard T. Carter', True),
('A. Wesley Jones', True),
('John E. Koontz', True),
('David S. Rood', True),
('Iren Hartmann', True),
]):
name, primary = spec
c = common.Contributor(id=slug(name), name=name)
dataset.editors.append(common.Editor(contributor=c, ord=i, primary=primary))
d = Dictionary(
args.data_file(TXT),
entry_impl=CsdEntry,
entry_sep='\\lx ')
d.entries = list(filter(lambda r: r.get('lx'), d.entries))[1:]
print(len(d.entries))
for i, v in enumerate(_LANGUAGES):
l = data.add(
models.Languoid, v[0],
id=v[0],
name=v[1],
ord=i,
color=v[4].lower(),
proto=v[0].startswith('p') and len(v[0]) == 3,
latitude=geocoords[v[2]][0],
longitude=geocoords[v[2]][1],
parent=data['Languoid'].get(v[5]))
if v[2]:
add_language_codes(data, l, v[2], glottocodes=glottocodes)
if l.id == 'pn':
l.latitude, l.longitude = (42.75, -98.03)
if l.id == 'op':
l.latitude, l.longitude = (43.5, -96.6)
if l.id == 'mo':
l.latitude, l.longitude = (40.05, -95.52)
pnames = set()
def _get(d, marker):
_l = set(nfilter(d.get(marker, [])))
if _l:
_l = list(_l)
if marker not in ['oo', 'or']:
assert len(_l) == 1
_l = _l[0]
return _l
def add_counterpart(d, vs, id,
phonetic, # forms
cognate, # oo
me, cm, so, org):
assert phonetic or cognate
if not cognate:
if vs.language.proto:
cognate = phonetic
phonetic = None
else:
cognate = '[%s]' % phonetic
m = models.Counterpart(
id=id,
name=cognate,
phonetic=phonetic,
description=me or '[%s]' % vs.parameter.name,
comment=cm,
original_entry=org,
other_reconstructions='; '.join(_get(d, 'or') or []) if vs.language.id == 'psi' else None,
valueset=vs)
if so:
for sid in nfilter([s.strip() for s in SEP_PATTERN.split(so or '')]):
match = SID_PATTERN.match(sid)
if not match:
continue
name = sid
sid = normalize_sid(match.group('key'))
source = data['Source'].get(sid)
if not source:
if sid in sources:
s = sources[sid]
source = data.add(
common.Source, sid,
id=sid,
name=s['Name'].upper() if len(s['Name']) <= 3 else s['Name'],
description=s.get('Title', s['citation']),
author=s.get('Author'),
title=s.get('Title'),
year=s.get('Year'),
)
else:
source = data.add(
common.Source, sid,
id=sid,
name=name.upper() if len(name) <= 3 else name)
m.references.append(models.ValueReference(
source=source, description=match.group('pages')))
for i, entry in enumerate(sorted(d.entries, key=lambda d: d.get('lx'), reverse=True)):
lemma = entry.get('lx')
if not lemma or not lemma.strip():
continue
pname = lemma
j = 1
while pname in pnames:
pname = '%s (%s)' % (lemma, j)
j += 1
pnames.add(pname)
contrib = data.add(
common.Contribution, pname, id=str(i + 1), name='Entry "%s"' % pname)
meaning = data.add(
models.Entry, pname,
id=str(i + 1),
name=pname,
contribution=contrib,
description=entry.get('com'),
psi_reconstruction_with_root_extension_code=entry.get('lxcm'),
sd=normalize_comma_separated(entry.get('sd'), SD, lower=True),
ps=normalize_comma_separated(entry.get('ps'), PS),
othlgs='\n---\n'.join(entry.getall('othlgs')))
if meaning.description:
meaning.description = meaning.description.replace('.\n', '.\n\n')
for lid, words in entry.get_words().items():
vsid = '%s-%s' % (lid, meaning.id)
vs = data.add(
common.ValueSet, vsid,
id=vsid,
parameter=meaning,
contribution=contrib,
language=data['Languoid'][lid])
for j, d in enumerate(words):
looped = False
for k, (oo, me, so, cm, org) in enumerate(izip_longest(
*[d.get(_m, []) for _m in 'oo me so cm _org'.split()])):
if not oo:
continue
looped = True
add_counterpart(d,
vs,
'%s-%s-%s' % (vsid, j + 1, k + 1),
d['forms'],
oo,
me,
cm,
so,
org)
if not looped: # not oo
if not d['forms']:
print '--->', d
continue
add_counterpart(d,
vs,
'%s-%s-%s' % (vsid, j + 1, 1),
d['forms'],
'; '.join(_get(d, 'oo') or []),
_get(d, 'me'),
_get(d, 'cm'),
_get(d, 'so'),
_get(d, '_org'))