def get_unified_document(self, comment):
from researchhub_document.serializers import (
DynamicUnifiedDocumentSerializer)
context = self.context
_context_fields = context.get('dis_dcs_get_unified_document', {})
serializer = DynamicUnifiedDocumentSerializer(comment.unified_document,
context=context,
**_context_fields)
return serializer.data
def get_unified_document(self, obj):
from researchhub_document.serializers import (
DynamicUnifiedDocumentSerializer)
context = self.context
_context_fields = context.get('rev_drs_get_created_by', {})
serializer = DynamicUnifiedDocumentSerializer(obj.unified_document,
context=context,
**_context_fields)
return serializer.data
def get_source(self, citation):
context = self.context
_context_fields = context.get('hyp_dcs_get_source', {})
serializer = DynamicUnifiedDocumentSerializer(
citation.source,
context=context,
**_context_fields
)
return serializer.data
def get_unified_document(self, obj):
from researchhub_document.serializers import DynamicUnifiedDocumentSerializer
serializer = DynamicUnifiedDocumentSerializer(
obj.unified_document,
_include_fields=['id', 'reviews'],
context={},
many=False)
return serializer.data
def preload_trending_documents(
document_type,
hub_id,
filtering,
time_scope,
):
from researchhub_document.views import ResearchhubUnifiedDocumentViewSet
from researchhub_document.serializers import (
DynamicUnifiedDocumentSerializer)
if time_scope == 'all_time':
cache_pk = f'{document_type}_{hub_id}_{filtering}_all_time'
elif time_scope == 'year':
cache_pk = f'{document_type}_{hub_id}_{filtering}_year'
elif time_scope == 'month':
cache_pk = f'{document_type}_{hub_id}_{filtering}_month'
elif time_scope == 'week':
cache_pk = f'{document_type}_{hub_id}_{filtering}_week'
else: # Today
cache_pk = f'{document_type}_{hub_id}_{filtering}_today'
query_string_filtering = 'top_rated'
if filtering == 'removed':
query_string_filtering = 'removed'
elif filtering == '-score':
query_string_filtering = 'top_rated'
elif filtering == '-discussed':
query_string_filtering = 'most_discussed'
elif filtering == '-created_date':
query_string_filtering = 'newest'
elif filtering == '-hot_score':
query_string_filtering = 'hot'
request_path = '/api/paper/get_hub_papers/'
if STAGING:
http_host = 'staging-backend.researchhub.com'
protocol = 'https'
elif PRODUCTION:
http_host = 'backend.researchhub.com'
protocol = 'https'
else:
http_host = 'localhost:8000'
protocol = 'http'
query_string = 'page=1&time={}&ordering={}&hub_id={}&'.format(
time_scope, query_string_filtering, hub_id)
http_meta = {
'QUERY_STRING': query_string,
'HTTP_HOST': http_host,
'HTTP_X_FORWARDED_PROTO': protocol,
}
document_view = ResearchhubUnifiedDocumentViewSet()
http_req = HttpRequest()
http_req.META = http_meta
http_req.path = request_path
req = Request(http_req)
document_view.request = req
documents = document_view.get_filtered_queryset(document_type, filtering,
hub_id, time_scope)
page = document_view.paginate_queryset(documents)
context = document_view._get_serializer_context()
serializer = DynamicUnifiedDocumentSerializer(
page,
_include_fields=[
'created_by',
'created_date',
'documents',
'document_type',
'hot_score',
'hot_score_v2',
'reviews',
'score',
'id',
],
many=True,
context=context,
)
serializer_data = serializer.data
paginated_response = document_view.get_paginated_response(serializer_data)
cache_key_hub = get_cache_key('hub', cache_pk)
cache.set(cache_key_hub, paginated_response.data, timeout=None)
return paginated_response.data
def get_unified_document(self, hypothesis):
context = self.context
_context_fields = context.get('hyp_dhs_get_unified_document', {})
serializer = DynamicUnifiedDocumentSerializer(
hypothesis.unified_document, context=context, **_context_fields)
return serializer.data
def get_unified_document(self, notification):
context = self.context
_context_fields = context.get('not_dns_get_unified_document', {})
serializer = DynamicUnifiedDocumentSerializer(
notification.unified_document, context=context, **_context_fields)
return serializer.data