def get_predicted_geotargeted(sr, location):
"""
Predicted geotargeted impressions are estimated as:
geotargeted impressions = (predicted untargeted impressions) *
(fp impressions for location / fp impressions)
"""
predicted_pageviews = get_predicted_pageviews(sr)
no_location = Location(None)
r = LocationPromoMetrics.get(DefaultSR, [no_location, location])
ratio = r[(DefaultSR, location)] / float(r[(DefaultSR, no_location)])
return int(predicted_pageviews * ratio)
def get_predicted_pageviews(srs, location=None):
"""
Return predicted number of pageviews for sponsored headlines.
Predicted geotargeted impressions are estimated as:
geotargeted impressions = (predicted untargeted impressions) *
(fp impressions for location / fp impressions)
"""
srs, is_single = tup(srs, ret_is_single=True)
sr_names = [sr.name for sr in srs]
# default subreddits require a different inventory factor
default_srids = LocalizedDefaultSubreddits.get_global_defaults()
if location:
no_location = Location(None)
r = LocationPromoMetrics.get(DefaultSR, [no_location, location])
location_pageviews = r[(DefaultSR, location)]
all_pageviews = r[(DefaultSR, no_location)]
if all_pageviews:
location_factor = float(location_pageviews) / float(all_pageviews)
else:
location_factor = 0.
else:
location_factor = 1.0
# prediction does not vary by date
daily_inventory = PromoMetrics.get(MIN_DAILY_CASS_KEY, sr_names=sr_names)
ret = {}
for sr in srs:
if not isinstance(sr, FakeSubreddit) and sr._id in default_srids:
default_factor = DEFAULT_INVENTORY_FACTOR
else:
default_factor = INVENTORY_FACTOR
base_pageviews = daily_inventory.get(sr.name, 0)
ret[sr.name] = int(base_pageviews * default_factor * location_factor)
if is_single:
return ret[srs[0].name]
else:
return ret
def get_predicted_pageviews(srs, location=None):
"""
Return predicted number of pageviews for sponsored headlines.
Predicted geotargeted impressions are estimated as:
geotargeted impressions = (predicted untargeted impressions) *
(fp impressions for location / fp impressions)
"""
srs, is_single = tup(srs, ret_is_single=True)
sr_names = [sr.name for sr in srs]
# default subreddits require a different inventory factor
default_srids = LocalizedDefaultSubreddits.get_global_defaults()
if location:
no_location = Location(None)
r = LocationPromoMetrics.get(DefaultSR, [no_location, location])
location_pageviews = r[(DefaultSR, location)]
all_pageviews = r[(DefaultSR, no_location)]
if all_pageviews:
location_factor = float(location_pageviews) / float(all_pageviews)
else:
location_factor = 0.
else:
location_factor = 1.0
# prediction does not vary by date
daily_inventory = PromoMetrics.get(MIN_DAILY_CASS_KEY, sr_names=sr_names)
ret = {}
for sr in srs:
if not isinstance(sr, FakeSubreddit) and sr._id in default_srids:
default_factor = DEFAULT_INVENTORY_FACTOR
else:
default_factor = INVENTORY_FACTOR
base_pageviews = daily_inventory.get(sr.name, 0)
ret[sr.name] = int(base_pageviews * default_factor * location_factor)
if is_single:
return ret[srs[0].name]
else:
return ret
def get_predicted_geotargeted(sr, location, start, end):
"""
Predicted geotargeted impressions are estimated as:
geotargeted impressions = (predicted untargeted impressions) *
(fp impressions for location / fp impressions)
"""
sr_inventory_by_date = get_predicted_pageviews(sr, start, end)
no_location = Location(None)
r = LocationPromoMetrics.get(DefaultSR, [no_location, location])
ratio = r[(DefaultSR, location)] / float(r[(DefaultSR, no_location)])
ret = {}
for date, sr_inventory in sr_inventory_by_date.iteritems():
ret[date] = int(sr_inventory * ratio)
return ret
def get_predicted_geotargeted(sr, location, start, end):
"""
Predicted geotargeted impressions are estimated as:
geotargeted impressions = (predicted untargeted impressions) *
(fp impressions for location / fp impressions)
"""
sr_inventory_by_date = get_predicted_pageviews(sr, start, end)
no_location = Location(None)
r = LocationPromoMetrics.get(DefaultSR, [no_location, location])
ratio = r[(DefaultSR, location)] / float(r[(DefaultSR, no_location)])
ret = {}
for date, sr_inventory in sr_inventory_by_date.iteritems():
ret[date] = int(sr_inventory * ratio)
return ret