def calc_all_hot_window_scores(hot_eligible_age = timedelta(hours = 48)):
# by default, only stories from the last 48 hours are eligible for "hot" status
stories = dbsession.query(Submission).filter(Submission.deleted == False).filter(Submission.added_on > (general.now_in_utc() - hot_eligible_age)).all()
for s in stories:
calc_hot_window_score(s.id)
general.set_key_in_stat('mass_hot_window_timestamp', general.now_in_utc(), type = 'datetime')
dbsession.flush()
return 0
def calc_all_hot_window_scores(hot_eligible_age=timedelta(hours=48)):
# by default, only stories from the last 48 hours are eligible for "hot" status
stories = dbsession.query(Submission).filter(
Submission.deleted == False).filter(
Submission.added_on > (general.now_in_utc() -
hot_eligible_age)).all()
for s in stories:
calc_hot_window_score(s.id)
general.set_key_in_stat('mass_hot_window_timestamp',
general.now_in_utc(),
type='datetime')
dbsession.flush()
return 0
def calc_hot_average(hot_point_window=timedelta(hours=6)):
"""
Calculate the average point assignment of stories over the last hot_point_window time.
"""
story_votes = dbsession.query(
Vote.submission_id,
func.sum(Vote.points).label('points')).filter(
Vote.added_on < general.now_in_utc(), Vote.added_on >
(general.now_in_utc() - hot_point_window)).group_by(
Vote.submission_id).all()
aggregate = 0
count = 0
for sv in story_votes:
aggregate += sv.points
count += 1
print "aggregate: " + str(aggregate)
print "count: " + str(count)
if aggregate <= 0:
hot_avg = 0
else:
# @TODO: this floating point division is basically extraneous
# but I want it to look like something is happening for now
# someone who cares about performance might want to remove this
# especially since we are just creating an integer further down
# if this is >= 1, which it will be in most sites.
# especially since decimal comparison is meaningless here; < 1 = 0
# users only vote in integers
hot_avg = float(aggregate) / float(count)
if hot_avg >= 1.0:
hot_avg = math.floor(hot_avg)
general.set_key_in_stat('hot_avg', hot_avg)
general.set_key_in_stat('hot_avg_timestamp',
general.now_in_utc(),
type='datetime')
print("hot_avg: {0}".format(hot_avg))
return hot_avg
def calc_hot_average(hot_point_window = timedelta(hours = 6)):
"""
Calculate the average point assignment of stories over the last hot_point_window time.
"""
story_votes = dbsession.query(Vote.submission_id, func.sum(Vote.points).label('points')).filter(Vote.added_on < general.now_in_utc(), Vote.added_on > (general.now_in_utc() - hot_point_window)).group_by(Vote.submission_id).all()
aggregate = 0
count = 0
for sv in story_votes:
aggregate += sv.points
count += 1
print "aggregate: " + str(aggregate)
print "count: " + str(count)
if aggregate <= 0:
hot_avg = 0
else:
# @TODO: this floating point division is basically extraneous
# but I want it to look like something is happening for now
# someone who cares about performance might want to remove this
# especially since we are just creating an integer further down
# if this is >= 1, which it will be in most sites.
# especially since decimal comparison is meaningless here; < 1 = 0
# users only vote in integers
hot_avg = float(aggregate) / float(count)
if hot_avg >= 1.0:
hot_avg = math.floor(hot_avg)
general.set_key_in_stat('hot_avg', hot_avg)
general.set_key_in_stat('hot_avg_timestamp', general.now_in_utc(), type = 'datetime')
print("hot_avg: {0}".format(hot_avg))
return hot_avg
