def vocab():
graph = construct(compiler.cached_rdf,
sources=[{
'source':
Graph().parse(scriptpath('source/vocab/index.ttl'),
format='turtle'),
'dataset':
'?'
}, {
"source":
"http://id.loc.gov/ontologies/bibframe/"
}],
query=scriptpath("source/vocab/bf-to-kbv-base.rq"))
for part in (SCRIPT_DIR / 'source/vocab').glob('**/*.ttl'):
graph.parse(str(part), format='turtle')
graph.update((SCRIPT_DIR / 'source/vocab/update.rq').read_text())
data = build_jsonld(graph)
lib_context = make_context(graph, BASE + 'vocab/', DEFAULT_NS_PREF_ORDER)
add_overlay(lib_context, load_json(scriptpath('sys/context/base.jsonld')))
add_overlay(lib_context,
load_json(scriptpath('source/vocab-overlay.jsonld')))
lib_context['@graph'] = [{'@id': BASE + 'vocab/context'}]
compiler.write(lib_context, 'vocab/context')
return "/vocab", data
def vocab():
graph = construct(compiler.cached_rdf,
sources=[{
'source':
Graph().parse(scriptpath('source/vocab/bf-map.ttl'),
format='turtle'),
'dataset':
'?'
}, {
"source":
"http://id.loc.gov/ontologies/bibframe/"
}],
query=scriptpath("source/vocab/bf-to-kbv-base.rq"))
for part in (SCRIPT_DIR / 'source/vocab').glob('**/*.ttl'):
graph.parse(str(part), format='turtle')
#cg = ConjunctiveGraph()
#cg.parse(str(SCRIPT_DIR/'source/vocab/display.jsonld'), format='json-ld')
#graph += cg
graph.update((SCRIPT_DIR / 'source/vocab/update.rq').read_text())
data = build_jsonld(graph)
del data['@context']
version = _get_repo_version()
if version:
data['@graph'][0]['version'] = version
lib_context = make_context(graph, BASE + 'vocab/', DEFAULT_NS_PREF_ORDER)
add_overlay(lib_context, load_json(scriptpath('sys/context/base.jsonld')))
add_overlay(lib_context,
load_json(scriptpath('source/vocab-overlay.jsonld')))
lib_context['@graph'] = [{'@id': BASE + 'vocab/context'}]
compiler.write(lib_context, 'vocab/context')
compiler.write(load_json(str(SCRIPT_DIR / 'source/vocab/display.jsonld')),
'vocab/display')
compiler.write(data, "vocab")
def countries():
graph = construct(
compiler.cached_rdf,
sources=[
{
"source":
decorate(read_csv(scriptpath('source/landskoder.tsv')),
{"@id": BASE + "country/{code}"}),
"dataset":
BASE + "dataset/countries",
# TODO: fix rdflib_jsonld so urls in external contexts are loaded
"context":
load_json(
scriptpath("source/table-context.jsonld"))['@context']
},
{
"source": "http://id.loc.gov/vocabulary/countries"
}
],
query=scriptpath("source/construct-countries.rq"))
return "/country/", build_jsonld(graph)
def languages():
loclangpath, fmt = compiler.get_cached_path(
"loc-language-data.ttl"), 'turtle'
loclanggraph = Graph()
if not Path(loclangpath).exists():
# More than <http://id.loc.gov/vocabulary/iso639-*> but without inferred SKOS
cherry_pick_loc_lang_data = (
SCRIPT_DIR / 'source/construct-loc-language-data.rq').read_text()
loclanggraph += _get_zipped_graph(
compiler.cache_url(
'http://id.loc.gov/static/data/vocabularyiso639-1.ttl.zip'),
'iso6391.ttl').query(cherry_pick_loc_lang_data)
loclanggraph += _get_zipped_graph(
compiler.cache_url(
'http://id.loc.gov/static/data/vocabularyiso639-2.ttl.zip'),
'iso6392.ttl').query(cherry_pick_loc_lang_data)
loclanggraph.serialize(loclangpath, format=fmt)
else:
loclanggraph.parse(loclangpath, format=fmt)
languages = decorate(read_csv(scriptpath('source/spraakkoder.tsv')),
{"@id": BASE + "language/{code}"})
graph = construct(
compiler.cached_rdf,
sources=[{
"source":
languages,
"dataset":
BASE + "dataset/languages",
"context":
load_json(scriptpath("source/table-context.jsonld"))['@context']
}, {
"source": loclanggraph,
"dataset": "http://id.loc.gov/vocabulary/languages"
}],
query=scriptpath("source/construct-languages.rq"))
return "/language/", build_jsonld(graph)