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_pageviews(srs):
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()
# 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:
factor = DEFAULT_INVENTORY_FACTOR
else:
factor = INVENTORY_FACTOR
ret[sr.name] = int(daily_inventory.get(sr.name, 0) * factor)
if is_single:
return ret[srs[0].name]
else:
return ret
def inject_test_data(num_links=25, num_comments=25, num_votes=5):
"""Flood your reddit install with test data based on reddit.com."""
print ">>>> Ensuring configured objects exist"
system_user = ensure_account(g.system_user)
ensure_account(g.automoderator_account)
ensure_subreddit(g.default_sr, system_user)
ensure_subreddit(g.takedown_sr, system_user)
ensure_subreddit(g.beta_sr, system_user)
ensure_subreddit(g.promo_sr_name, system_user)
print
print
print ">>>> Fetching real data from reddit.com"
modeler = Modeler()
subreddits = [
modeler.model_subreddit("pics"),
modeler.model_subreddit("videos"),
modeler.model_subreddit("askhistorians"),
]
extra_settings = {
"pics": {
"show_media": True,
},
"videos": {
"show_media": True,
},
}
print
print
print ">>>> Generating test data"
print ">>> Accounts"
account_query = Account._query(sort="_date", limit=500, data=True)
accounts = [a for a in account_query if a.name != g.system_user]
accounts.extend(
ensure_account(modeler.generate_username())
for i in xrange(50 - len(accounts)))
print ">>> Content"
things = []
for sr_model in subreddits:
sr_author = random.choice(accounts)
sr = ensure_subreddit(sr_model.name, sr_author)
# make the system user subscribed for easier testing
if sr.add_subscriber(system_user):
sr._incr("_ups", 1)
# apply any custom config we need for this sr
for setting, value in extra_settings.get(sr.name, {}).iteritems():
setattr(sr, setting, value)
sr._commit()
for i in xrange(num_links):
link_author = random.choice(accounts)
url = sr_model.generate_link_url()
is_self = (url == "self")
content = sr_model.generate_selfpost_body() if is_self else url
link = Link._submit(
is_self=is_self,
title=sr_model.generate_link_title(),
content=content,
author=link_author,
sr=sr,
ip="127.0.0.1",
)
queries.new_link(link)
things.append(link)
comments = [None]
for i in xrange(fuzz_number(num_comments)):
comment_author = random.choice(accounts)
comment, inbox_rel = Comment._new(
comment_author,
link,
parent=random.choice(comments),
body=sr_model.generate_comment_body(),
ip="127.0.0.1",
)
queries.new_comment(comment, inbox_rel)
comments.append(comment)
things.append(comment)
for thing in things:
for i in xrange(fuzz_number(num_votes)):
direction = random.choice([
Vote.DIRECTIONS.up,
Vote.DIRECTIONS.unvote,
Vote.DIRECTIONS.down,
])
voter = random.choice(accounts)
cast_vote(voter, thing, direction)
amqp.worker.join()
srs = [Subreddit._by_name(n) for n in ("pics", "videos", "askhistorians")]
LocalizedDefaultSubreddits.set_global_srs(srs)
def inject_test_data(num_links=25, num_comments=25, num_votes=5):
"""Flood your reddit install with test data based on reddit.com."""
print ">>>> Ensuring configured objects exist"
system_user = ensure_account(g.system_user)
ensure_account(g.automoderator_account)
ensure_subreddit(g.default_sr, system_user)
ensure_subreddit(g.takedown_sr, system_user)
ensure_subreddit(g.beta_sr, system_user)
ensure_subreddit(g.promo_sr_name, system_user)
print
print
print ">>>> Fetching real data from reddit.com"
modeler = Modeler()
subreddits = [
modeler.model_subreddit("pics"),
modeler.model_subreddit("videos"),
modeler.model_subreddit("askhistorians"),
]
extra_settings = {
"pics": {
"show_media": True,
},
"videos": {
"show_media": True,
},
}
print
print
print ">>>> Generating test data"
print ">>> Accounts"
account_query = Account._query(sort="_date", limit=500, data=True)
accounts = [a for a in account_query if a.name != g.system_user]
accounts.extend(
ensure_account(modeler.generate_username())
for i in xrange(50 - len(accounts)))
print ">>> Content"
things = []
for sr_model in subreddits:
sr_author = random.choice(accounts)
sr = ensure_subreddit(sr_model.name, sr_author)
# make the system user subscribed for easier testing
if sr.add_subscriber(system_user):
sr._incr("_ups", 1)
# apply any custom config we need for this sr
for setting, value in extra_settings.get(sr.name, {}).iteritems():
setattr(sr, setting, value)
sr._commit()
for i in xrange(num_links):
link_author = random.choice(accounts)
url = sr_model.generate_link_url()
is_self = (url == "self")
content = sr_model.generate_selfpost_body() if is_self else url
link = Link._submit(
is_self=is_self,
title=sr_model.generate_link_title(),
content=content,
author=link_author,
sr=sr,
ip="127.0.0.1",
)
queries.new_link(link)
things.append(link)
comments = [None]
for i in xrange(fuzz_number(num_comments)):
comment_author = random.choice(accounts)
comment, inbox_rel = Comment._new(
comment_author,
link,
parent=random.choice(comments),
body=sr_model.generate_comment_body(),
ip="127.0.0.1",
)
queries.new_comment(comment, inbox_rel)
comments.append(comment)
things.append(comment)
for thing in things:
for i in xrange(fuzz_number(num_votes)):
direction = random.choice([
Vote.DIRECTIONS.up,
Vote.DIRECTIONS.unvote,
Vote.DIRECTIONS.down,
])
voter = random.choice(accounts)
cast_vote(voter, thing, direction)
amqp.worker.join()
srs = [Subreddit._by_name(n) for n in ("pics", "videos", "askhistorians")]
LocalizedDefaultSubreddits.set_global_srs(srs)
LocalizedFeaturedSubreddits.set_global_srs([Subreddit._by_name('pics')])
