def fill():
alldicts = {}
from invenio.legacy.bibrank.tag_based_indexer import fromDB
redis = get_redis()
serialized_weights = redis.get('citations_weights')
if serialized_weights:
weights = deserialize_via_marshal(serialized_weights)
else:
weights = fromDB('citation')
alldicts['citations_weights'] = weights
# for cited:M->N queries, it is interesting to cache also
# some preprocessed citationdict:
alldicts['citations_keys'] = intbitset(weights.keys())
# Citation counts
alldicts['citations_counts'] = [t for t in iteritems(weights)]
alldicts['citations_counts'].sort(key=itemgetter(1), reverse=True)
# Self-cites
serialized_weights = redis.get('selfcites_weights')
if serialized_weights:
selfcites = deserialize_via_marshal(serialized_weights)
else:
selfcites = fromDB('selfcites')
selfcites_weights = {}
for recid, counts in alldicts['citations_counts']:
selfcites_weights[recid] = counts - selfcites.get(recid, 0)
alldicts['selfcites_weights'] = selfcites_weights
alldicts['selfcites_counts'] = [(recid, selfcites_weights.get(recid, cites)) for recid, cites in alldicts['citations_counts']]
alldicts['selfcites_counts'].sort(key=itemgetter(1), reverse=True)
return alldicts
def fill():
alldicts = {}
from invenio.legacy.bibrank.tag_based_indexer import fromDB
redis = get_redis()
serialized_weights = redis.get('citations_weights')
if serialized_weights:
weights = deserialize_via_marshal(serialized_weights)
else:
weights = fromDB('citation')
alldicts['citations_weights'] = weights
# for cited:M->N queries, it is interesting to cache also
# some preprocessed citationdict:
alldicts['citations_keys'] = intbitset(weights.keys())
# Citation counts
alldicts['citations_counts'] = [t for t in iteritems(weights)]
alldicts['citations_counts'].sort(key=itemgetter(1), reverse=True)
# Self-cites
serialized_weights = redis.get('selfcites_weights')
if serialized_weights:
selfcites = deserialize_via_marshal(serialized_weights)
else:
selfcites = fromDB('selfcites')
selfcites_weights = {}
for recid, counts in alldicts['citations_counts']:
selfcites_weights[recid] = counts - selfcites.get(recid, 0)
alldicts['selfcites_weights'] = selfcites_weights
alldicts['selfcites_counts'] = [
(recid, selfcites_weights.get(recid, cites))
for recid, cites in alldicts['citations_counts']
]
alldicts['selfcites_counts'].sort(key=itemgetter(1), reverse=True)
return alldicts
def setUp(self):
from invenio.utils.redis import get_redis
self.db = get_redis()
def store_weights_cache(weights):
"""Store into key/value store"""
redis = get_redis()
redis.set("citations_weights", serialize_via_marshal(weights))
def store_weights_cache(weights):
"""Store into key/value store"""
redis = get_redis()
redis.set('selfcites_weights', serialize_via_marshal(weights))
def store_weights_cache(weights):
"""Store into key/value store"""
redis = get_redis()
redis.set('citations_weights', serialize_via_marshal(weights))
def save_in_storage(self, sid, session_object, timeout, uid): # pylint: disable=W0613
return get_redis().setex(self.generate_key(sid),
session_object,
timeout)
def setUp(self):
from invenio.utils.redis import get_redis
self.db = get_redis()
def delete_from_storage(self, sid):
return get_redis().delete(self.generate_key(sid))
def load_from_storage(self, sid):
return get_redis().get(self.generate_key(sid))
def save_in_storage(self, sid, session_object, timeout, uid): # pylint: disable=W0613
return get_redis().setex(self.generate_key(sid),
session_object,
timeout)
def delete_from_storage(self, sid):
return get_redis().delete(self.generate_key(sid))
def load_from_storage(self, sid):
return get_redis().get(self.generate_key(sid))
