def get(self, request, *args, **kwargs):
self._setup_request(request)
allowed_params = [query_param.rstrip('_') for query_param in OaiParam._member_names_]
for query_param in self.params.keys():
if query_param not in allowed_params:
return self.error(
code="badArgument",
text="""The request includes illegal arguments, is missing required arguments, includes a
repeated argument, or values for arguments have an illegal syntax.""",
)
if not self.oai_verb:
return self.error(
code="badArgument",
text="""The request includes illegal arguments, is missing required arguments, includes a
repeated argument, or values for arguments have an illegal syntax.""",
)
self.create_harvest_steps(request)
if self.metadataPrefix not in REGISTERED_CONVERTERS.keys():
return self.error(
code="cannotDisseminateFormat",
text="The metadata format identified by the value '{}' given for the metadataPrefix argument is not "
"supported by the item or by the repository.".format(self.metadataPrefix)
)
verb_dict = {
'Identify': self.identify,
'ListIdentifiers': self.list_identifiers,
'GetRecord': self.item,
'ListMetadataFormats': self.list_metadata_formats,
'ListRecords': self.list_records,
'ListSets': self.list_datasets
}
try:
return verb_dict[self.oai_verb]()
except OAIException as oe:
return self.error(oe.code, oe.message)
except KeyError as ke:
if self.oai_verb is None:
error_msg = 'The request did not provide any verb.'
else:
error_msg = 'The verb "{}" is illegal'.format(self.oai_verb)
return self.error('badVerb', error_msg)
def retrieve(self, request, pk=None, format=None, *args, **kwargs):
def get_mode(default=None):
params = request.GET
return params.get('schema', default)
self._clean_callback(request)
query = NaveESQuery(
index_name=self.get_index_name,
doc_types=self.doc_types,
default_facets=self.facets,
cluster_geo=False,
size=1,
converter=self.get_converter()
)
try:
query = query.build_item_query(query, request.query_params, pk)
except ValueError as ve:
logger.error("Unable to build request because: {}".format(ve))
# todo display error message when bad/unknown hubId is given
return HttpResponseBadRequest()
mlt = True if request.query_params.get('mlt', 'false') == "true" else False
mlt_count = int(request.query_params.get('mlt.count', 5))
mlt_filter_queries = request.query_params.getlist('mlt.qf', [])
mlt_fq_dict = {}
for fq in mlt_filter_queries:
if ":" in fq:
k, v = fq.split(":", maxsplit=1)
mlt_fq_dict[k] = v
record = ElasticSearchRDFRecord(hub_id=pk)
record.get_graph_by_id(hub_id=pk)
response = NaveItemResponse(
query,
self,
index=self.get_index_name,
mlt=mlt,
mlt_count=mlt_count,
mlt_filter_query=mlt_fq_dict,
rdf_record=record
)
renderer_format = request.accepted_renderer.format
if renderer_format in list(EXTENSION_TO_MIME_TYPE.keys()) and renderer_format not in ['xml', 'json']:
graph = record.get_graph()
graph_string = graph.serialize(format=renderer_format).decode('utf-8')
mime_type = EXTENSION_TO_MIME_TYPE.get(renderer_format)
return Response(data=graph_string, content_type=mime_type)
target_uri = record.document_uri
if settings.RDF_USE_LOCAL_GRAPH:
graph = record.get_graph()
else:
store = rdfstore.get_rdfstore()
graph, _ = RDFModel.get_context_graph(store, named_graph=record.named_graph)
if not graph:
from django.http import HttpResponseNotFound
return HttpResponseNotFound()
mode = get_mode(self.default_converter)
bindings = GraphBindings(about_uri=target_uri, graph=graph)
delving_fields = False if request.GET.get("delving_fields") == 'false' else True
converter = None
if mode in ['api', 'api-flat']:
index_doc = bindings.to_index_doc() if mode == 'api' else bindings.to_flat_index_doc()
elif mode in REGISTERED_CONVERTERS.keys():
converter = REGISTERED_CONVERTERS.get(mode)
index_doc = converter(
bindings=bindings,
graph=graph,
about_uri=bindings.about_uri()
).convert(add_delving_fields=delving_fields)
elif self.default_converter in REGISTERED_CONVERTERS.keys():
converter = REGISTERED_CONVERTERS.get(self.default_converter)
index_doc = converter(
bindings=bindings,
graph=graph,
about_uri=bindings.about_uri()
).convert(add_delving_fields=delving_fields)
else:
logger.warn("unable to convert results to schema {}".format(mode))
index_doc = bindings.to_index_doc()
layout_fields = OrderedDict()
layout_fields['layout'] = converter().get_layout_fields() if converter else []
if response.get_mlt():
mlt = {"item": [NaveESItemSerializer(item).data for item in response.get_mlt()]}
else:
mlt = ""
result = {'result': {
'layout': layout_fields,
'item': {'fields': index_doc},
"relatedItems": mlt}}
return Response(result)
