def triples_samples(self):
try:
dsid = self.dsid # FIXME json reload needs to deal with this
except BaseException as e: # FIXME ...
loge.exception(e)
return
conv.SampleConverter._subject_id = self.subject_id # FIXME
conv.SampleConverter.dsid = self.dsid # FIXME FIXME very evil
# yes this indicates that converters and exporters are
# highly related here ...
def triples_gen(prefix_func, samples):
for i, sample in enumerate(samples):
converter = conv.SampleConverter(sample)
if 'primary_key' in sample:
s_local = sample['primary_key']
else:
s_local = f'local-{i + 1}' # sigh
s = prefix_func(s_local)
yield s, rdf.type, owl.NamedIndividual
yield s, rdf.type, sparc.Sample
yield s, TEMP.hasDerivedInformationAsParticipant, dsid # domain particiant range information artifact
# specimen - participant: -> process instance - ilxtr:hasInformationOutput -> data files - partOf: -> dataset
# collapses to? specimen - hasInformationDerivedFromProce -> <- containsInformationAbout - dataset
yield dsid, TEMP.isAboutParticipant, s # containsInformationAboutParticipant[Primary] TEMP.containsInformationAbout, isAbout is probably a better base
# could be further refined to isAboutParticiantPrimary, with a note that if multiple measurement processes happened, there can be multiple primaries for a dataset
yield from converter.triples_gen(s)
# see https://github.com/information-artifact-ontology/IAO/issues/60, there isn't a good inverse relation
# original though was subjectOfInformation, but that was confusing in the current terminology where subject already has 2 meanings
# hasInformationDerivedFromProcessWhereWasParticipant -> hasInformationDerivedFromProcessWhereWasPrimaryParticipant seems most correct, but is extremely verbose
# hasDerivedInformationAsParticipant -> hasDerivedInformationAsParticipantPrimary materialize the role into the predicate? seems reasonable
continue
yield from triples_gen(self.primary_key, self.samples)
def triples_subjects(self):
try:
dsid = self.dsid # FIXME json reload needs to deal with this
except BaseException as e: # FIXME ...
loge.exception(e)
return
def triples_gen(prefix_func, subjects):
for i, subject in enumerate(subjects):
converter = conv.SubjectConverter(subject)
if 'subject_id' in subject:
s_local = subject['subject_id']
else:
s_local = f'local-{i + 1}' # sigh
s = prefix_func(s_local)
yield s, rdf.type, owl.NamedIndividual
yield s, rdf.type, sparc.Subject
yield s, TEMP.hasDerivedInformationAsParticipant, dsid
yield dsid, TEMP.isAboutParticipant, s
yield from converter.triples_gen(s)
continue
for field, value in subject.items():
convert = getattr(converter, field, None)
if convert is not None:
yield (s, *convert(value))
elif field not in converter.known_skipped:
loge.warning(f'Unhandled subject field: {field}')
yield from triples_gen(self.subject_id, self.subjects)
def protocol_url_or_doi(self, value):
#_, s = self.c.protocol_url_or_doi(value)
#yield s, rdf.type, owl.NamedIndividual
#yield s, rdf.type, sparc.Protocol
log.debug(value)
if not isinstance(value, idlib.Pio):
if isinstance(value, idlib.Doi):
try:
t = None
for t in value.triples_gen:
yield t
except idlib.exc.RemoteError as e:
if t is None:
# we already logged this error during id dereferencing
return
ds, _, _ = t
try:
pioid = value.dereference(asType=idlib.Pio)
s = self.c.l(pioid)
yield ds, TEMP.dereferencesTo, s
yield s, TEMP.hasDoi, ds
except idlib.exc.MalformedIdentifierError as e:
log.warning(e)
return
else:
try:
pioid = idlib.Pio(
value
) # FIXME :/ should be handled in Pio directly probably?
except idlib.exc.MalformedIdentifierError as e:
logd.warning(e)
return
else:
pioid = value
try:
pioid_int = pioid.uri_api_int
s = self.c.l(pioid_int)
yield from pioid_int.triples_gen
# FIXME needs to be a pipeline so that we can export errors
try:
data = pioid.data()
except (OntId.BadCurieError,
idlib.exc.MalformedIdentifierError) as e:
loge.error(e) # FIXME export errors ...
data = None
except idlib.exc.RemoteError as e: # FIXME sandbox violation
loge.exception(e)
s = self.c.l(pioid)
data = None
yield s, rdf.type, sparc.Protocol
if data:
yield s, rdfs.label, rdflib.Literal(pioid.label)
nsteps = len(data['steps'])
yield s, TEMP.protocolHasNumberOfSteps, rdflib.Literal(nsteps)
def triples_contributors(self,
contributor,
contributor_order_index,
creator=False):
try:
dsid = self.dsid # FIXME json reload needs to deal with this
except BaseException as e: # FIXME ...
loge.exception(e)
return
cid = contributor['id']
if isinstance(cid, idlib.Stream) and hasattr(
cid, 'asUri'): # FIXME nasty branch
s = cid.asUri(rdflib.URIRef)
elif isinstance(cid, BlackfynnId):
s = rdflib.URIRef(cid.uri_api)
elif isinstance(cid, dict):
if isinstance(cid['id'], idlib.Stream): # FIXME nasty branch
s = cid['id'].asUri(rdflib.URIRef)
else:
raise NotImplementedError(f'{type(cid["id"])}: {cid["id"]}')
else:
s = rdflib.URIRef(cid) # FIXME json reload needs to deal with this
if 'data_remote_user_id' in contributor:
userid = rdflib.URIRef(
contributor['data_remote_user_id'].uri_api) # FIXME
yield s, TEMP.hasDataRemoteUserId, userid
if 'blackfynn_user_id' in contributor:
userid = rdflib.URIRef(
contributor['blackfynn_user_id'].uri_api) # FIXME
yield s, TEMP.hasBlackfynnUserId, userid
yield s, rdf.type, owl.NamedIndividual
yield s, rdf.type, sparc.Person
yield s, TEMP.contributorTo, dsid # TODO other way around too? hasContributor
converter = conv.ContributorConverter(contributor)
yield from converter.triples_gen(s)
if creator:
yield s, TEMP.creatorOf, dsid
# dataset <-> contributor object
dcs = rdflib.BNode()
yield dcs, rdf.type, owl.NamedIndividual
yield dcs, rdf.type, sparc.DatasetContribution
yield dcs, TEMP.aboutDataset, dsid # FIXME forDataset?
yield dcs, TEMP.aboutContributor, s
yield dcs, TEMP.contributorOrderIndex, rdflib.Literal(
contributor_order_index)
dconverter = conv.DatasetContributorConverter(contributor)
for _s, p, o in dconverter.triples_gen(dcs):
if p == sparc.isContactPerson and o._value == True:
yield dsid, TEMP.hasContactPerson, s
yield _s, p, o
def triples(self):
crossref_doi_pred = rdflib.term.URIRef('http://prismstandard.org/namespaces/basic/2.1/doi')
for blob in self.data['identifier_metadata']:
id = blob['id']
if not isinstance(id, idlib.Stream):
id = idlib.Auto(id)
if not hasattr(id, 'asUri'):
breakpoint()
s = id.asUri(rdflib.URIRef)
if 'source' in blob:
source = blob['source'] # FIXME we need to wrap this in our normalized representation
if source == 'Crossref': # FIXME CrossrefConvertor etc. OR put it in idlib as a an alternate ttl
pos = (
(rdf.type, owl.NamedIndividual),
(rdf.type, TEMP[blob['type']]),
(dc.publisher, blob['publisher']),
#(dc.type, blob['type']), # FIXME semantify
(dc.title, blob['title']),
(dc.date, self.published_online(blob)), # FIXME .... dangerzone
)
g = OntGraph()
doi = idlib.Doi(id) if not isinstance(id, idlib.Doi) else id # FIXME idlib streams need to recognize their own type in __new__
data = doi.ttl()
if data is None: # blackfynn has some bad settings on their doi records ...
return
try:
g.parse(data=data, format='ttl') # FIXME network bad
except BaseException as e:
loge.exception(e)
_tr = [s for s, p, o in g if p == crossref_doi_pred]
if _tr:
_their_record_s = _tr[0]
yield s, owl.sameAs, _their_record_s
yield from g
else:
g.debug()
log.critical('No crossref doi section in graph!')
else:
msg = f'dont know what to do with {source}'
log.error(msg)
#raise NotImplementedError(msg)
return
else:
msg = f'dont know what to do with {blob} for {id.identifier}'
log.error(msg)
#raise NotImplementedError(msg)
return
for p, oraw in pos:
if oraw is not None:
o = rdflib.Literal(oraw) if not isinstance(oraw, rdflib.URIRef) else oraw
yield s, p, o
def affiliation(self, value):
#_, s = self.c.affiliation(value)
try:
if isinstance(value, str): # FIXME json conv
yield from idlib.Ror(value).triples_gen
else:
yield from value.triples_gen
except idlib.exc.RemoteError as e:
# FIXME sigh, temp until we can split out the
# remote data resolution phase from the rest
loge.exception(e)
def normv(v):
if is_list_or_tuple(v):
return [normv(_) for _ in v]
elif isinstance(v, dict):
return {k:normv(v) for k, v in v.items()}
elif isinstance(v, str) and v.startswith('http'):
# needed for loading from json that has been serialized
# rather than from our internal representation
# probably better to centralized the reload ...
# XXX NOTE these days this will only happen if someone
# supplies us with a uri in a field where we aren't
# expecting one, in which case we should just return it
try:
v = OntTerm(v)
return v.asCell()
except Exception as e:
loge.error(f'something went wrong with {v}')
loge.exception(e)
return v
#raise e
elif isinstance(v, rdflib.URIRef): # FIXME why is this getting converted early?
ot = OntTerm(v)
return ot.asCell()
elif isinstance(v, ProtcurExpression):
return str(v) # FIXME for xml?
elif isinstance(v, Quantity):
return str(v)
elif isinstance(v, AsJson): # XXX returns value not tested, may be extremely strange
return str(v)
elif isinstance(v, pathlib.Path):
return str(v)
elif isinstance(v, idlib.Stream):
return v.asCell()
#elif isinstance(v, list) or isinstance(v, str):
#return v
elif isinstance(v, BaseException):
return repr(v)
else:
#loge.debug(repr(v))
return v
def triples_contributors(self, contributor, creator=False):
try:
dsid = self.dsid # FIXME json reload needs to deal with this
except BaseException as e: # FIXME ...
loge.exception(e)
return
cid = contributor['id']
if isinstance(cid, idlib.Stream): # FIXME nasty branch
s = cid.asType(rdflib.URIRef)
else:
s = rdflib.URIRef(cid) # FIXME json reload needs to deal with this
if 'blackfynn_user_id' in contributor:
userid = rdflib.URIRef(contributor['blackfynn_user_id'])
yield s, TEMP.hasBlackfynnUserId, userid
yield s, rdf.type, owl.NamedIndividual
yield s, rdf.type, sparc.Researcher
yield s, TEMP.contributorTo, dsid # TODO other way around too? hasContributor
converter = conv.ContributorConverter(contributor)
yield from converter.triples_gen(s)
if creator:
yield s, TEMP.creatorOf, dsid
# dataset <-> contributor object
dcs = rdflib.BNode()
yield dcs, rdf.type, owl.NamedIndividual
yield dcs, rdf.type, TEMP.DatasetContributor
yield dcs, TEMP.aboutDataset, dsid # FIXME forDataset?
yield dcs, TEMP.aboutContributor, s
dconverter = conv.DatasetContributorConverter(contributor)
for _s, p, o in dconverter.triples_gen(dcs):
if p == sparc.isContactPerson and o._value == True:
yield dsid, TEMP.hasContactPerson, s
yield _s, p, o
def triples_subjects(self):
try:
dsid = self.dsid # FIXME json reload needs to deal with this
except BaseException as e: # FIXME ...
loge.exception(e)
return
def triples_gen(prefix_func, subjects):
for i, subject in enumerate(subjects):
converter = conv.SubjectConverter(subject)
if 'subject_id' in subject:
s_local = subject['subject_id']
else:
s_local = f'local-{i + 1}' # sigh
s = prefix_func(s_local)
yield s, rdf.type, owl.NamedIndividual
yield s, rdf.type, sparc.Subject
yield s, TEMP.hasDerivedInformationAsParticipant, dsid
yield dsid, TEMP.isAboutParticipant, s
yield from converter.triples_gen(s)
yield from triples_gen(self.subject_id, self.subjects)
