def test_translator_list(self):
expected = URIRef('http://example.org/trans1')
with connect(p(self.testdir, '.pow', 'pow.conf')) as conn:
with transaction.manager:
# Create data sources
ctx = Context(ident='http://example.org/context', conf=conn.conf)
class DT(DataTranslator):
class_context = ctx.identifier
translator_identifier = expected
def translate(source):
pass
ctx.mapper.process_class(DT)
DT.definition_context.save(conn.conf['rdf.graph'])
# Create a translator
dt = ctx(DT)()
ctx_id = conn.conf['data_context_id']
main_ctx = Context(ident=ctx_id, conf=conn.conf)
main_ctx.add_import(ctx)
main_ctx.save_imports()
ctx.save()
# List translators
assertRegexpMatches(
self.sh('pow translator list'),
re.compile('^' + expected.n3() + '$', flags=re.MULTILINE))
def test_translate_data_source_loader(self):
with connect(p(self.testdir, '.pow', 'pow.conf')) as conn:
with transaction.manager:
# Create data sources
ctx = Context(ident='http://example.org/context', conf=conn.conf)
ctx(LFDS)(
ident='http://example.org/lfds',
file_name='Merged_Nuclei_Stained_Worm.zip',
torrent_file_name='d9da5ce947c6f1c127dfcdc2ede63320.torrent')
class DT(DataTranslator):
class_context = ctx.identifier
input_type = LFDS
output_type = LFDS
translator_identifier = 'http://example.org/trans1'
def translate(source):
print(source.full_path())
return source
ctx.mapper.process_class(DT)
dt = ctx(DT)()
# Create a translator
ctx_id = conn.conf['data_context_id']
DT.definition_context.save(conn.conf['rdf.graph'])
main_ctx = Context(ident=ctx_id, conf=conn.conf)
main_ctx.add_import(ctx)
main_ctx.save_imports()
ctx.save()
# Do translation
assertRegexpMatches(
self.sh(
'pow translate http://example.org/trans1 http://example.org/lfds'),
r'Merged_Nuclei_Stained_Worm.zip')
def test_save_import(self):
ctx0 = Context(ident='http://example.com/context_0')
ctx = Context(ident='http://example.com/context_1')
new_ctx = Context(ident='http://example.com/context_1')
ctx.add_import(new_ctx)
ctx.save_imports(ctx0)
self.assertEqual(len(ctx0), 1)
def test_save_import(self):
ctx0 = Context(ident='http://example.com/context_0')
ctx = Context(ident='http://example.com/context_1')
new_ctx = Context(ident='http://example.com/context_1')
ctx.add_import(new_ctx)
ctx.save_imports(ctx0)
self.assertEqual(len(ctx0), 1)
def test_add_import(self):
ctx0 = Context(ident='http://example.com/context_0')
ctx = Context(ident='http://example.com/context_1')
ctx2 = Context(ident='http://example.com/context_2')
ctx2_1 = Context(ident='http://example.com/context_2_1')
ctx.add_import(ctx2)
ctx.add_import(ctx2_1)
ctx3 = Context(ident='http://example.com/context_3')
ctx3.add_import(ctx)
final_ctx = Context(ident='http://example.com/context_1', imported=(ctx3,))
final_ctx.save_imports(ctx0)
self.assertEqual(len(ctx0), 4)
def test_add_import(self):
ctx0 = Context(ident='http://example.com/context_0')
ctx = Context(ident='http://example.com/context_1')
ctx2 = Context(ident='http://example.com/context_2')
ctx2_1 = Context(ident='http://example.com/context_2_1')
ctx.add_import(ctx2)
ctx.add_import(ctx2_1)
ctx3 = Context(ident='http://example.com/context_3')
ctx3.add_import(ctx)
final_ctx = Context(ident='http://example.com/context_1',
imported=(ctx3, ))
final_ctx.save_imports(ctx0)
self.assertEqual(len(ctx0), 4)
def do_insert(ident,
config="default.conf",
logging=False,
imports_context_ident=None,
basedir=aux_data()):
sources = init_sources()
extras = init_extra_sources(basedir)
data_sources_by_key = {x.key: x for x in sources + extras}
trans_map = init_translators() + init_extra_neuron_data_translators(extras)
P.connect(configFile=config, do_logging=logging)
P.config()
CTX = Context(ident=ident + '-data',
imported=(P.CONTEXT, ),
conf=P.config())
EVCTX = Context(ident=ident + '-evidence',
imported=(P.CONTEXT, ),
conf=P.config())
IWCTX = Context(ident=ident, imported=(CTX, EVCTX), conf=P.config())
imports_context = Context(ident=imports_context_ident, conf=P.config())
try:
t0 = time()
translators = dict()
remaining = list(trans_map)
last_remaining = None
saved_contexts = set([])
while remaining != last_remaining:
next_remaining = []
for t in remaining:
if not isinstance(t[0], (list, tuple)):
source_keys = (t[0], )
else:
source_keys = t[0]
sources = tuple(
data_sources_by_key.get(s) for s in source_keys)
if None in sources:
next_remaining.append(t)
continue
translator_class = t[1]
if len(t) > 2:
output_key = t[2]
else:
output_key = None
translator = translators.get(translator_class, None)
if not translator:
translator = translator_class()
translators[translator_class] = translator
print('\n'.join(
'Input({}/{}): {}'.format(i + 1, len(sources), s)
for i, s in enumerate(sources)))
print('Translating with {}'.format(translator))
orig_wd = os.getcwd()
os.chdir(basedir)
try:
res = translator(*sources, output_key=output_key)
finally:
os.chdir(orig_wd)
print('Result: {}'.format(res))
if isinstance(res, DataWithEvidenceDataSource):
res.data_context.save_context(
inline_imports=True, saved_contexts=saved_contexts)
res.data_context.save_imports(imports_context)
res.evidence_context.save_context(
inline_imports=True, saved_contexts=saved_contexts)
res.evidence_context.save_imports(imports_context)
for ctx in res.contexts:
raise Exception()
if res:
if res.key:
data_sources_by_key[res.key] = res
else:
data_sources_by_key[res.identifier] = res
last_remaining = list(remaining)
remaining = next_remaining
for x in remaining:
warn("Failed to process: {}".format(x))
# attach_neuromlfiles_to_channel()
t1 = time()
print("Saving data...")
graph = P.config('rdf.graph')
for src in data_sources_by_key.values():
if isinstance(src, DataWithEvidenceDataSource):
print('saving', src)
CTX.add_import(src.data_context)
EVCTX.add_import(src.evidence_context)
for ctx in src.contexts:
IWCTX.add_import(ctx)
IWCTX.save_context(graph, saved_contexts=saved_contexts)
IWCTX.save_imports(imports_context)
print('imports context size', len(imports_context))
print("Saved %d triples." % IWCTX.triples_saved)
t2 = time()
print("Serializing...")
serialize_as_nquads()
t3 = time()
print("generating objects took", t1 - t0, "seconds")
print("saving objects took", t2 - t1, "seconds")
print("serializing objects took", t3 - t2, "seconds")
except Exception:
traceback.print_exc()
finally:
P.disconnect()
def do_insert(ident, config="default.conf", logging=False, imports_context_ident=None, basedir=aux_data()):
sources = init_sources()
extras = init_extra_sources(basedir)
data_sources_by_key = {x.key: x for x in sources + extras}
trans_map = init_translators() + init_extra_neuron_data_translators(extras)
P.connect(configFile=config, do_logging=logging)
P.config()
CTX = Context(ident=ident + '-data', imported=(P.CONTEXT,), conf=P.config())
EVCTX = Context(ident=ident + '-evidence', imported=(P.CONTEXT,), conf=P.config())
IWCTX = Context(ident=ident, imported=(CTX, EVCTX), conf=P.config())
imports_context = Context(ident=imports_context_ident, conf=P.config())
try:
t0 = time()
translators = dict()
remaining = list(trans_map)
last_remaining = None
saved_contexts = set([])
while remaining != last_remaining:
next_remaining = []
for t in remaining:
if not isinstance(t[0], (list, tuple)):
source_keys = (t[0],)
else:
source_keys = t[0]
sources = tuple(data_sources_by_key.get(s) for s in source_keys)
if None in sources:
next_remaining.append(t)
continue
translator_class = t[1]
if len(t) > 2:
output_key = t[2]
else:
output_key = None
translator = translators.get(translator_class, None)
if not translator:
translator = translator_class()
translators[translator_class] = translator
print('\n'.join('Input({}/{}): {}'.format(i + 1, len(sources), s) for i, s in enumerate(sources)))
print('Translating with {}'.format(translator))
orig_wd = os.getcwd()
os.chdir(basedir)
try:
res = translator(*sources, output_key=output_key)
finally:
os.chdir(orig_wd)
print('Result: {}'.format(res))
if isinstance(res, DataWithEvidenceDataSource):
res.data_context.save_context(inline_imports=True, saved_contexts=saved_contexts)
res.data_context.save_imports(imports_context)
res.evidence_context.save_context(inline_imports=True, saved_contexts=saved_contexts)
res.evidence_context.save_imports(imports_context)
for ctx in res.contexts:
raise Exception()
if res:
if res.key:
data_sources_by_key[res.key] = res
else:
data_sources_by_key[res.identifier] = res
last_remaining = list(remaining)
remaining = next_remaining
for x in remaining:
warn("Failed to process: {}".format(x))
# attach_neuromlfiles_to_channel()
t1 = time()
print("Saving data...")
graph = P.config('rdf.graph')
for src in data_sources_by_key.values():
if isinstance(src, DataWithEvidenceDataSource):
print('saving', src)
CTX.add_import(src.data_context)
EVCTX.add_import(src.evidence_context)
for ctx in src.contexts:
IWCTX.add_import(ctx)
IWCTX.save_context(graph, saved_contexts=saved_contexts)
IWCTX.save_imports(imports_context)
print('imports context size', len(imports_context))
print("Saved %d triples." % IWCTX.triples_saved)
t2 = time()
print("Serializing...")
serialize_as_nquads()
t3 = time()
print("generating objects took", t1 - t0, "seconds")
print("saving objects took", t2 - t1, "seconds")
print("serializing objects took", t3 - t2, "seconds")
except Exception:
traceback.print_exc()
finally:
P.disconnect()
def test_zero_imports(self):
ctx0 = Context(ident='http://example.com/context_0')
ctx = Context(ident='http://example.com/context_1')
ctx.save_imports(ctx0)
self.assertEqual(len(ctx0), 0)
def test_zero_imports(self):
ctx0 = Context(ident='http://example.com/context_0')
ctx = Context(ident='http://example.com/context_1')
ctx.save_imports(ctx0)
self.assertEqual(len(ctx0), 0)