def get(self, request, *args, **kwargs):
target_uri = os.path.splitext(request.build_absolute_uri())[0].replace('/data/', '/resource/')
if not self.request.path.startswith("/data"):
target_uri = re.sub('/[a-z]{2}/resource/', '/resource/', target_uri, count=1)
if target_uri.endswith('graph'):
target_uri = re.sub("/graph", "", target_uri)
extension_ = self.kwargs.get('extension')
rdf_format = mime_to_extension(get_lod_mime_type(extension_, self.request))
if rdf_format == "rdf":
rdf_format = "xml"
resolved_uri = RDFRecord.get_internal_rdf_base_uri(target_uri)
if "/resource/cache/" in target_uri:
# old lookup rdfstore.get_rdfstore().get_cached_source_uri(target_uri)
target_uri = target_uri.split('/resource/cache/')[-1]
if 'geonames.org' in target_uri:
target_uri = '{}/'.format(target_uri)
if CacheResource.objects.filter(document_uri=target_uri).exists():
cache_object = CacheResource.objects.filter(document_uri=target_uri).first()
content = cache_object.get_graph().serialize(format=rdf_format)
else:
raise UnknownGraph("URI {} is not known in our graph store".format(target_uri))
elif settings.RDF_USE_LOCAL_GRAPH:
mode = self.request.REQUEST.get('mode', 'default')
acceptance = True if mode == 'acceptance' else False
local_object = ElasticSearchRDFRecord(source_uri=resolved_uri)
local_object.get_graph_by_source_uri(uri=resolved_uri)
if not local_object.exists():
# todo: temporary work around for EDMRecords not saved with subjects
logger.warn("Unable to find graph for: {}".format(resolved_uri))
raise UnknownGraph("URI {} is not known in our graph store".format(resolved_uri))
mode = self.get_mode(request)
if mode in ['context', 'api', 'api-flat']:
# get_graph(with_mappings=True, include_mapping_target=True, acceptance=acceptance)
content = local_object.get_context_graph(with_mappings=True, include_mapping_target=True)
if mode in ['api', 'api-flat']:
bindings = GraphBindings(about_uri=resolved_uri, graph=content)
index_doc = bindings.to_index_doc() if mode == 'api' else bindings.to_flat_index_doc()
content = json.dumps(index_doc)
rdf_format = 'json-ld'
else:
content = content.serialize(format=rdf_format)
else:
content = local_object.get_graph()
content = content.serialize(format=rdf_format)
elif self.store.ask(uri=resolved_uri):
target_uri = resolved_uri
content = self.get_content(target_uri, rdf_format, request)
return HttpResponse(
content,
content_type='{}; charset=utf8'.format(result_extension_to_mime(rdf_format))
)
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)
