def get_context_data(self, **kwargs):
context = super(NaveDocumentTemplateView, self).get_context_data(**kwargs)
absolute_uri = self.request.build_absolute_uri()
target_uri = RDFRecord.get_internal_rdf_base_uri(absolute_uri)
if "detail/foldout/" in target_uri:
slug = self.kwargs.get('slug')
record = ElasticSearchRDFRecord(hub_id=slug)
graph = record.get_graph_by_id(self.kwargs.get('slug'))
if graph is not None:
target_uri = record.source_uri
else:
logger.warn("Unable to find source_uri for slug: {}".format(slug))
else:
target_uri = RDFRecord.get_internal_rdf_base_uri(absolute_uri)
record = ElasticSearchRDFRecord(hub_id=self.kwargs.get('slug'))
graph = record.get_graph_by_source_uri(target_uri)
if graph is None:
raise UnknownGraph("URI {} is not known in our graph store".format(target_uri))
if "/resource/cache/" in target_uri:
target_uri = target_uri.rstrip('/')
cache_resource = CacheResource.objects.filter(document_uri=target_uri)
if cache_resource.exists():
graph = cache_resource.first().get_graph()
elif settings.RDF_USE_LOCAL_GRAPH:
mode = self.request.REQUEST.get('mode', 'default')
acceptance = True if mode == 'acceptance' else False
context['acceptance'] = acceptance
elif '/resource/aggregation' in target_uri:
target_named_graph = "{}/graph".format(target_uri.rstrip('/'))
graph, nr_levels = RDFModel.get_context_graph(store=rdfstore.get_rdfstore(), named_graph=target_named_graph)
else:
graph, nr_levels = RDFModel.get_context_graph(
store=rdfstore.get_rdfstore(),
target_uri=target_uri
)
# todo: remove: should no longer be necessary with the addition of common.middleware.ForceLangMiddleware
language = self.request.GET.get('lang', None)
if language:
activate(language)
bindings = GraphBindings(
about_uri=target_uri,
graph=graph,
excluded_properties=settings.RDF_EXCLUDED_PROPERTIES
)
context['resources'] = bindings
context['absolute_uri'] = RDFRecord.get_external_rdf_url(target_uri, self.request)
for rdf_type in bindings.get_about_resource().get_types():
search_label = rdf_type.search_label.lower()
content_template = settings.RDF_CONTENT_FOLDOUTS.get(search_label)
if content_template:
self.template_name = content_template
break
context['points'] = RDFModel.get_geo_points(graph)
return context
def _process_action(self, action):
try:
self.spec = action["dataset"]
process_verb = action["action"]
record = None
if process_verb in ["clear_orphans"]:
purge_date = action.get("modification_date")
if purge_date:
orphans_removed = RDFRecord.remove_orphans(spec=self.spec, timestamp=purge_date)
logger.info("Deleted {} orphans for {} before {}".format(orphans_removed, self.spec, purge_date))
elif process_verb in ["disable_index"]:
RDFRecord.delete_from_index(self.spec)
logger.info("Deleted dataset {} from index. ".format(self.spec))
elif process_verb in ["drop_dataset"]:
RDFRecord.delete_from_index(self.spec)
DataSet.objects.filter(spec=self.spec).delete()
logger.info("Deleted dataset {} from index. ".format(self.spec))
else:
record_graph_uri = action["graphUri"]
graph_ntriples = action["graph"]
acceptance_mode = action.get("acceptanceMode", "false")
acceptance = True if acceptance_mode is not None and acceptance_mode.lower() in ["true"] else False
content_hash = action.get("contentHash", None)
from lod.utils.resolver import ElasticSearchRDFRecord
record = ElasticSearchRDFRecord(spec=self.spec, rdf_string=graph_ntriples)
try:
rdf_format = record.DEFAULT_RDF_FORMAT if "<rdf:RDF" not in graph_ntriples else "xml"
record.from_rdf_string(
rdf_string=graph_ntriples, named_graph=record_graph_uri, input_format=rdf_format
)
except ParseError as e:
self.rdf_errors.append((e, action))
logger.error(e, action)
return None
self.records_stored += 1
self.es_actions[(record.hub_id, content_hash)] = record.create_es_action(
action=process_verb,
store=self.store,
context=True,
flat=True,
exclude_fields=None,
acceptance=acceptance,
doc_type="void_edmrecord",
record_type="mdr",
content_hash=content_hash,
)
if settings.RDF_STORE_TRIPLES:
self.sparql_update_queries[(record.hub_id, content_hash)] = record.create_sparql_update_query(
acceptance=acceptance
)
return record
except KeyError as ke:
self.json_errors.append((ke, action))
self.records_with_errors += 1
return None
def get_graph(self, mode, **kwargs):
if mode == "graph" and 'named_graph' in kwargs:
graph = self.store.get_graph_store.get(named_graph=kwargs['named_graph'], as_graph=True)
elif mode == 'describe' and 'uri' in kwargs:
graph = self.store.describe(uri=kwargs['uri'])
elif mode in ['context', 'api', 'api-flat']:
if 'named_graph' in kwargs:
graph, _ = ElasticSearchRDFRecord.get_context_graph(self.store, named_graph=kwargs['named_graph'])
else:
graph, _ = ElasticSearchRDFRecord.get_context_graph(self.store, target_uri=kwargs['uri'])
else:
raise ValueError("Mode {} not supported".format(mode))
return graph
def get_items(self):
if self.get_list_size() == 0:
return None
return ElasticSearchRDFRecord.get_rdf_records_from_query(
query=self.convert_filters_to_query(self.filters),
response=self.get_query_result()
)
def get_item(self, identifier):
s = Search(using=self.client)
s = s.query("match", **{"_id": identifier})
response = s.execute()
if response.hits.total != 1:
return None
return ElasticSearchRDFRecord.get_rdf_records_from_query(
query=s,
response=response)[0]
def get_redirect_url(self, *args, **kwargs):
hub_id = self.kwargs.get('hubId')
if not hub_id:
if 'hubId' in self.query_string:
hub_id = self.query_string.get('hubId')
else:
raise Http404()
if 'doc_type' in self.kwargs:
doc_type = self.kwargs.get('doc_type')
else:
doc_type = "void_edmrecord"
record = ElasticSearchRDFRecord()
graph = record.get_graph_by_id(self.kwargs.get('slug'))
if not graph:
raise Http404()
routed_uri = lod.utils.lod.get_external_rdf_url(record.source_uri, self.request)
logger.debug("Routed uri: {}".format(routed_uri))
rdf_format = self.request.GET.get("format")
if rdf_format and rdf_format in lod.RDF_SUPPORTED_EXTENSIONS:
routed_uri = "{}.{}".format(routed_uri, rdf_format)
return routed_uri
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 process_narthex_file(self, spec, store=None, acceptance=False, path=None, console=False):
start = datetime.now()
if not store:
store = rdfstore.get_rdfstore()
if not path:
processed_fname = self.get_narthex_processed_fname()
else:
processed_fname = path
print("started processing {} for dataset {}".format(processed_fname, spec))
with open(processed_fname, 'r') as f:
rdf_record = []
lines = 0
records = 0
stored = 0
new = 0
not_orphaned = []
sparql_update_queries = []
es_actions = []
# set orphaned records
for line in f:
lines += 1
exists, named_graph, content_hash = self.is_line_marker(line)
if exists:
new += 1
records += 1
triples = " ".join(rdf_record)
record = ElasticSearchRDFRecord(rdf_string=triples, spec=spec)
try:
record.from_rdf_string(named_graph=named_graph, rdf_string=triples, input_format="xml")
es_actions.append(record.create_es_action(doc_type="void_edmrecord", record_type="mdr", context=True))
except Exception as ex:
if console:
print("problem with {} for spec {} caused by {}".format(triples, spec, ex))
else:
logger.error("problem with {} for spec {} caused by {}".format(triples, spec, ex))
rdf_record[:] = []
if settings.RDF_STORE_TRIPLES:
sparql_update_queries.append(
record.create_sparql_update_query(acceptance=acceptance)
)
nr_sparql_updates = len(sparql_update_queries)
if settings.RDF_STORE_TRIPLES and nr_sparql_updates > 0 and nr_sparql_updates % 50 == 0:
store.update("\n".join(sparql_update_queries))
sparql_update_queries[:] = []
if records % 100 == 0 and records > 0:
logger.info("processed {} records of {} at {}".format(records, spec, ctime()))
if console:
print("processed {} records of {} at {}".format(records, spec, ctime()))
if len(es_actions) > 100:
self.bulk_index(es_actions, spec)
es_actions[:] = []
else:
rdf_record.append(line)
# store the remaining bulk items
self.bulk_index(es_actions, spec)
if settings.RDF_STORE_TRIPLES and len(sparql_update_queries) > 0:
store.update("\n".join(sparql_update_queries))
logger.info(
"Dataset {}: records inserted {}, records same content hash {}, lines parsed {}, total records processed {}".format(
spec, new, stored, lines, records)
)
print("Finished loading {spec} with {lines} and {records} in {seconds}\n".format(
spec=spec,
lines=lines,
records=records,
seconds=datetime.now() - start
))
RDFRecord.remove_orphans(spec, start.isoformat())
return lines, records
def get_context_data(self, **kwargs):
# todo later add acceptance mode
target_uri = self.request.build_absolute_uri().replace('/page/', '/resource/')
if "?" in target_uri:
target_uri = re.sub("\?.*$", '', target_uri)
# target_uri = target_uri.split('?')[:-1]
if not self.request.path.startswith("/page"):
target_uri = re.sub('/[a-z]{2}/resource/', '/resource/', target_uri, count=1)
if target_uri.endswith('graph'):
target_uri = re.sub("/graph$", "", target_uri)
context = super(LoDHTMLView, self).get_context_data(**kwargs)
# default and test mode
mode = self.request.REQUEST.get('mode', 'default')
acceptance = True if mode == 'acceptance' else False
if not acceptance:
acceptance = self.request.COOKIES.get('NAVE_ACCEPTANCE_MODE', False)
object_local_cache = None
cached = False
context['about'] = target_uri
context['ugc'] = None
if "/resource/cache/" in target_uri:
# lookup solution # rdfstore.get_rdfstore().get_cached_source_uri(target_uri)
cached = True
target_uri = target_uri.split('/resource/cache/')[-1]
if target_uri.endswith("about.rdf"):
target_uri = re.sub('about.rdf$', '', target_uri)
else:
target_uri = target_uri.rstrip('/')
resolved_uri = RDFRecord.get_internal_rdf_base_uri(target_uri)
if UserGeneratedContent.objects.filter(source_uri=resolved_uri).exists():
context['ugc'] = UserGeneratedContent.objects.filter(source_uri=resolved_uri)
if settings.RDF_USE_LOCAL_GRAPH:
object_local_cache = ElasticSearchRDFRecord(source_uri=resolved_uri)
object_local_cache.get_graph_by_source_uri(uri=resolved_uri)
if not object_local_cache.exists():
context['source_uri'] = target_uri
context['unknown_graph'] = True
return context
target_uri = resolved_uri
elif self.store.ask(uri=resolved_uri):
target_uri = resolved_uri
context['source_uri'] = target_uri
context['about_label'] = target_uri.split('/')[-1]
context['about_spec'] = target_uri.split('/')[-2]
context['cached'] = cached
# special query for skos
def is_skos():
return self.store.ask(
query="where {{<{subject}> <{predicate}> <{object}>}}".format(
subject=target_uri, predicate=RDF.type, object=SKOS.Concept))
if object_local_cache:
# todo: add code to retrieve proxyresources
# (with_mappings=True, include_mapping_target=True, acceptance=acceptance)
graph = object_local_cache.get_context_graph(with_mappings=True, include_mapping_target=True)
nr_levels = 4
elif cached:
if CacheResource.objects.filter(document_uri=target_uri).exists():
cache_object = CacheResource.objects.filter(document_uri=target_uri).first()
graph = cache_object.get_graph()
nr_levels = 3
else:
context['unknown_graph'] = True
return context
elif is_skos():
graph, nr_levels = RDFModel.get_skos_context_graph(store=self.store, target_uri=target_uri)
# nav_tree = RDFModel.get_nav_tree(target_uri=target_uri, store=self.store)
# todo finish the nav tree implementation
if 'skos_nav' in self.request.GET:
return context
elif '/resource/aggregation' in target_uri:
target_named_graph = "{}/graph".format(target_uri.rstrip('/'))
graph, nr_levels = RDFModel.get_context_graph(store=self.store, named_graph=target_named_graph)
else:
graph, nr_levels = RDFModel.get_context_graph(target_uri=target_uri, store=self.store)
graph_contains_target = graph.query("""ASK {{ <{}> ?p ?o }} """.format(target_uri)).askAnswer
if not graph_contains_target or len(graph) == 0:
context['unknown_graph'] = True
return context
if context['about'].endswith('/'):
context['about'] = context['about'].rstrip('/')
context['graph'] = graph
context['nr_levels'] = nr_levels
context['namespaces'] = [(prefix, uri) for prefix, uri in graph.namespaces()]
graph_bindings = GraphBindings(target_uri, graph, excluded_properties=settings.RDF_EXCLUDED_PROPERTIES)
context['skos_links'], context['skos_filter'] = graph_bindings.get_all_skos_links()
context['resources'] = graph_bindings
resource = graph_bindings.get_about_resource()
context['items'] = resource.get_items(as_tuples=True)
rdf_type = graph_bindings.get_about_resource().get_type()
context['rdf_type'] = rdf_type
context['content_template'] = self.get_content_type_template(rdf_type.search_label)
context['graph_stats'] = RDFModel.get_graph_statistics(graph)
context['alt'] = ""
context['points'] = RDFModel.get_geo_points(graph)
# DEEPZOOM VALUE(S)
zooms = graph_bindings.get_list('nave_deepZoomUrl')
if zooms:
context['deepzoom_count'] = len(zooms)
context['deepzoom_urls'] = [zoom.value for zoom in zooms]
# EXPERT MODE
expert_mode = self.request.COOKIES.get('NAVE_DETAIL_EXPERT_MODE', False)
if expert_mode:
# do expert mode stuff like more like this
context['expert_mode'] = True
if settings.MLT_DETAIL_ENABLE and object_local_cache:
context['data'] = {'items': object_local_cache.get_more_like_this()}
if settings.MLT_BANNERS and isinstance(settings.MLT_BANNERS, dict) and object_local_cache:
from collections import OrderedDict
context['data'] = {"mlt_banners": OrderedDict()}
for name, config in settings.MLT_BANNERS.items():
mlt_fields = config.get("fields", None)
if mlt_fields and any(".raw" in field for field in mlt_fields):
# .raw fields don't work with MORE LIKE THIS queries so are
# queried directly.
context['data']['mlt_banners'][name] = object_local_cache.get_raw_related(
query_fields=mlt_fields,
filter_query=config.get("filter_query", None),
graph_bindings=graph_bindings
)
else:
context['data']['mlt_banners'][name] = object_local_cache.get_more_like_this(
mlt_count=10,
mlt_fields=mlt_fields,
filter_query=config.get("filter_query", None)
)
view_modes = {
'properties': "rdf/_rdf_properties.html"
}
display_mode = self.request.GET.get('display')
if display_mode:
self.template_name = view_modes.get(display_mode, self.template_name)
return context
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)
