def get_hot_stories(hot_eligible_age = timedelta(hours = 48)):
"""
Get a story list that is suitable for display as "hot".
@param timediff: timedelta object representing hot story eligibility age
"""
hot_avg = general.get_key_from_stat('hot_avg')['value']
stories = dbsession.query(Submission).options(joinedload('submitter')).filter(Submission.deleted == False).filter(Submission.added_on > (general.now_in_utc() - hot_eligible_age)).filter(Submission.hot_window_score > hot_avg).order_by(Submission.hot_window_score.desc())
return stories
def get_mass_time():
mass_timestamp = None
try:
mass_timestamp = general.get_key_from_stat('mass_hot_window_timestamp', type = 'datetime')
except sqlalchemy.orm.exc.NoResultFound:
call_all_hot_window_scores()
if type(mass_timestamp) == dict:
return mass_timestamp['value']
else:
return None
def get_hot_avg_time():
hot_avg_timestamp = None
try:
hot_avg_timestamp = general.get_key_from_stat('hot_avg_timestamp', type = 'datetime')
except sqlalchemy.orm.exc.NoResultFound:
call_hot_average()
if type(hot_avg_timestamp) == dict:
return hot_avg_timestamp['value']
else:
return None
def get_hot_stories(hot_eligible_age=timedelta(hours=48)):
"""
Get a story list that is suitable for display as "hot".
@param timediff: timedelta object representing hot story eligibility age
"""
hot_avg = general.get_key_from_stat('hot_avg')['value']
stories = dbsession.query(Submission).options(
joinedload('submitter')).filter(Submission.deleted == False).filter(
Submission.added_on > (
general.now_in_utc() - hot_eligible_age)).filter(
Submission.hot_window_score > hot_avg).order_by(
Submission.hot_window_score.desc())
return stories
def get_mass_time():
mass_timestamp = None
try:
mass_timestamp = general.get_key_from_stat(
'mass_hot_window_timestamp', type='datetime')
except sqlalchemy.orm.exc.NoResultFound:
call_all_hot_window_scores()
if type(mass_timestamp) == dict:
return mass_timestamp['value']
else:
return None
def get_hot_avg_time():
hot_avg_timestamp = None
try:
hot_avg_timestamp = general.get_key_from_stat('hot_avg_timestamp',
type='datetime')
except sqlalchemy.orm.exc.NoResultFound:
call_hot_average()
if type(hot_avg_timestamp) == dict:
return hot_avg_timestamp['value']
else:
return None
