def _search(query):
# to support super fast paging results, cache the intermediates
results = None
cache_time = 60
if query.cache:
key = query.cache_key()
results = cache.get(key)
if results:
# put it back again - this basically extends the lease
cache.add(key, results, cache_time)
if not results:
results = combined_search_results(query)
facets = results['facets']
results = apply_normalizers(results)
if query.cache:
dumped = zlib.compress(pickle.dumps((results, facets)))
logger.debug("cached search results %s", len(dumped))
cache.set(key, dumped, cache_time)
else:
results, facets = pickle.loads(zlib.decompress(results))
# @todo - sorting should be done in the backend as it can optimize if
# the query is restricted to one model. has implications for caching...
if query.sort == 'title':
keyfunc = lambda r: r.title().lower()
elif query.sort == 'last_modified':
old = datetime(1,1,1)
keyfunc = lambda r: r.last_modified() or old
else:
keyfunc = lambda r: getattr(r, query.sort)()
results.sort(key=keyfunc, reverse=not query.order)
return results, facets
def _search(query):
# to support super fast paging results, cache the intermediates
results = None
cache_time = 60
if query.cache:
key = query.cache_key()
results = cache.get(key)
if results:
# put it back again - this basically extends the lease
cache.add(key, results, cache_time)
if not results:
results = combined_search_results(query)
facets = results['facets']
results = apply_normalizers(results)
if query.cache:
dumped = zlib.compress(pickle.dumps((results, facets)))
logger.debug("cached search results %s", len(dumped))
cache.set(key, dumped, cache_time)
else:
results, facets = pickle.loads(zlib.decompress(results))
# @todo - sorting should be done in the backend as it can optimize if
# the query is restricted to one model. has implications for caching...
if query.sort == 'title':
keyfunc = lambda r: r.title().lower()
elif query.sort == 'last_modified':
old = datetime(1, 1, 1)
keyfunc = lambda r: r.last_modified() or old
else:
keyfunc = lambda r: getattr(r, query.sort)()
results.sort(key=keyfunc, reverse=not query.order)
return results, facets
def get_context_data(self, **kwargs):
context = super(GroupDetailView, self).get_context_data(**kwargs)
context['object'] = self.group
context['maps'] = self.group.resources(resource_type=Map)
context['layers'] = self.group.resources(resource_type=Layer)
context['is_member'] = self.group.user_is_member(self.request.user)
context['is_manager'] = self.group.user_is_role(self.request.user, "manager")
context['object_list'] = apply_normalizers({'users': [obj.user.profile for obj in context['object_list']]})
context['total'] = self.get_queryset().count()
return context
def get_context_data(self, **kwargs):
context = super(GroupDetailView, self).get_context_data(**kwargs)
context['object'] = self.group
context['maps'] = self.group.resources(resource_type=Map)
context['layers'] = self.group.resources(resource_type=Layer)
context['is_member'] = self.group.user_is_member(self.request.user)
context['is_manager'] = self.group.user_is_role(self.request.user, "manager")
context['object_list'] = apply_normalizers({'users': [obj.user.profile for obj in context['object_list']]})
context['total'] = self.get_queryset().count()
return context
