def load_feed_statistics(request):
stats = dict()
feed_id = request.GET['feed_id']
feed = get_object_or_404(Feed, pk=feed_id)
feed.save_feed_story_history_statistics()
# Dates of last and next update
stats['last_update'] = relative_timesince(feed.last_update)
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
# Minutes between updates
update_interval_minutes, random_factor = feed.get_next_scheduled_update()
stats['update_interval_minutes'] = update_interval_minutes
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
stats['story_count_history'] = story_count_history and json.decode(story_count_history)
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
logging.info(" ---> [%s] Statistics: %s" % (request.user, feed))
return stats
def load_feed_statistics(request, feed_id):
user = get_user(request)
stats = dict()
feed = get_object_or_404(Feed, pk=feed_id)
feed.count_subscribers()
feed.set_next_scheduled_update(verbose=True, skip_scheduling=True)
feed.save_feed_story_history_statistics()
feed.save_classifier_counts()
# Dates of last and next update
stats['active'] = feed.active
stats['last_update'] = relative_timesince(feed.last_update)
if feed.is_push:
stats['next_update'] = "real-time..."
else:
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
# Minutes between updates
update_interval_minutes, _ = feed.get_next_scheduled_update(force=True, verbose=False)
if feed.is_push:
stats['update_interval_minutes'] = 0
else:
stats['update_interval_minutes'] = update_interval_minutes
original_active_premium_subscribers = feed.active_premium_subscribers
original_premium_subscribers = feed.premium_subscribers
feed.active_premium_subscribers = max(feed.active_premium_subscribers+1, 1)
feed.premium_subscribers += 1
premium_update_interval_minutes, _ = feed.get_next_scheduled_update(force=True, verbose=False)
feed.active_premium_subscribers = original_active_premium_subscribers
feed.premium_subscribers = original_premium_subscribers
if feed.is_push:
stats['premium_update_interval_minutes'] = 0
else:
stats['premium_update_interval_minutes'] = premium_update_interval_minutes
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
stats['story_count_history'] = story_count_history and json.decode(story_count_history)
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
stats['stories_last_month'] = feed.stories_last_month
stats['last_load_time'] = feed.last_load_time
stats['premium_subscribers'] = feed.premium_subscribers
stats['active_subscribers'] = feed.active_subscribers
stats['active_premium_subscribers'] = feed.active_premium_subscribers
# Classifier counts
stats['classifier_counts'] = json.decode(feed.data.feed_classifier_counts)
# Fetch histories
timezone = user.profile.timezone
stats['feed_fetch_history'] = MFeedFetchHistory.feed_history(feed_id, timezone=timezone)
stats['page_fetch_history'] = MPageFetchHistory.feed_history(feed_id, timezone=timezone)
stats['feed_push_history'] = MFeedPushHistory.feed_history(feed_id, timezone=timezone)
logging.user(request, "~FBStatistics: ~SB%s ~FG(%s/%s/%s subs)" % (feed, feed.num_subscribers, feed.active_subscribers, feed.premium_subscribers,))
return stats
def load_feed_statistics(request):
stats = dict()
feed_id = request.GET['feed_id']
feed = get_object_or_404(Feed, pk=feed_id)
feed.save_feed_story_history_statistics()
# Dates of last and next update
stats['last_update'] = relative_timesince(feed.last_update)
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
# Minutes between updates
update_interval_minutes, random_factor = feed.get_next_scheduled_update()
stats['update_interval_minutes'] = update_interval_minutes
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
stats['story_count_history'] = story_count_history and json.decode(story_count_history)
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
stats['stories_last_month'] = feed.stories_last_month
stats['last_load_time'] = feed.last_load_time
stats['premium_subscribers'] = feed.premium_subscribers
stats['active_subscribers'] = feed.active_subscribers
# Fetch histories
stats['feed_fetch_history'] = MFeedFetchHistory.feed_history(feed_id)
stats['page_fetch_history'] = MPageFetchHistory.feed_history(feed_id)
logging.user(request.user, "~FBStatistics: ~SB%s ~FG(%s/%s/%s subs)" % (feed, feed.num_subscribers, feed.active_subscribers, feed.premium_subscribers,))
return stats
def load_feed_statistics(request, feed_id):
user = get_user(request)
stats = dict()
feed = get_object_or_404(Feed, pk=feed_id)
feed.update_all_statistics()
feed.set_next_scheduled_update(verbose=True, skip_scheduling=True)
feed.save_feed_story_history_statistics()
feed.save_classifier_counts()
# Dates of last and next update
stats["active"] = feed.active
stats["last_update"] = relative_timesince(feed.last_update)
stats["next_update"] = relative_timeuntil(feed.next_scheduled_update)
stats["push"] = feed.is_push
# Minutes between updates
update_interval_minutes = feed.get_next_scheduled_update(force=True, verbose=False)
stats["update_interval_minutes"] = update_interval_minutes
original_active_premium_subscribers = feed.active_premium_subscribers
original_premium_subscribers = feed.premium_subscribers
feed.active_premium_subscribers = max(feed.active_premium_subscribers + 1, 1)
feed.premium_subscribers += 1
premium_update_interval_minutes = feed.get_next_scheduled_update(force=True, verbose=False)
feed.active_premium_subscribers = original_active_premium_subscribers
feed.premium_subscribers = original_premium_subscribers
stats["premium_update_interval_minutes"] = premium_update_interval_minutes
stats["errors_since_good"] = feed.errors_since_good
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats["average_stories_per_month"] = average_stories_per_month
stats["story_count_history"] = story_count_history and json.decode(story_count_history)
# Subscribers
stats["subscriber_count"] = feed.num_subscribers
stats["stories_last_month"] = feed.stories_last_month
stats["last_load_time"] = feed.last_load_time
stats["premium_subscribers"] = feed.premium_subscribers
stats["active_subscribers"] = feed.active_subscribers
stats["active_premium_subscribers"] = feed.active_premium_subscribers
# Classifier counts
stats["classifier_counts"] = json.decode(feed.data.feed_classifier_counts)
# Fetch histories
timezone = user.profile.timezone
fetch_history = MFetchHistory.feed(feed_id, timezone=timezone)
stats["feed_fetch_history"] = fetch_history["feed_fetch_history"]
stats["page_fetch_history"] = fetch_history["page_fetch_history"]
stats["feed_push_history"] = fetch_history["push_history"]
logging.user(request, "~FBStatistics: ~SB%s" % (feed))
return stats
def load_feed_statistics(request, feed_id):
user = get_user(request)
timezone = user.profile.timezone
stats = dict()
feed = get_object_or_404(Feed, pk=feed_id)
feed.update_all_statistics()
feed.set_next_scheduled_update(verbose=True, skip_scheduling=True)
feed.save_feed_story_history_statistics()
feed.save_classifier_counts()
# Dates of last and next update
stats['active'] = feed.active
stats['last_update'] = relative_timesince(feed.last_update)
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
stats['push'] = feed.is_push
if feed.is_push:
try:
stats['push_expires'] = localtime_for_timezone(feed.push.lease_expires,
timezone).strftime("%Y-%m-%d %H:%M:%S")
except PushSubscription.DoesNotExist:
stats['push_expires'] = 'Missing push'
feed.is_push = False
feed.save()
# Minutes between updates
update_interval_minutes = feed.get_next_scheduled_update(force=True, verbose=False)
stats['update_interval_minutes'] = update_interval_minutes
original_active_premium_subscribers = feed.active_premium_subscribers
original_premium_subscribers = feed.premium_subscribers
feed.active_premium_subscribers = max(feed.active_premium_subscribers+1, 1)
feed.premium_subscribers += 1
premium_update_interval_minutes = feed.get_next_scheduled_update(force=True, verbose=False,
premium_speed=True)
feed.active_premium_subscribers = original_active_premium_subscribers
feed.premium_subscribers = original_premium_subscribers
stats['premium_update_interval_minutes'] = premium_update_interval_minutes
stats['errors_since_good'] = feed.errors_since_good
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
story_count_history = story_count_history and json.decode(story_count_history)
if story_count_history and isinstance(story_count_history, dict):
stats['story_count_history'] = story_count_history['months']
stats['story_days_history'] = story_count_history['days']
stats['story_hours_history'] = story_count_history['hours']
else:
stats['story_count_history'] = story_count_history
# Rotate hours to match user's timezone offset
localoffset = timezone.utcoffset(datetime.datetime.utcnow())
hours_offset = int(localoffset.total_seconds() / 3600)
rotated_hours = {}
for hour, value in stats['story_hours_history'].items():
rotated_hours[str(int(hour)+hours_offset)] = value
stats['story_hours_history'] = rotated_hours
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
stats['num_subscribers'] = feed.num_subscribers
stats['stories_last_month'] = feed.stories_last_month
stats['last_load_time'] = feed.last_load_time
stats['premium_subscribers'] = feed.premium_subscribers
stats['active_subscribers'] = feed.active_subscribers
stats['active_premium_subscribers'] = feed.active_premium_subscribers
# Classifier counts
stats['classifier_counts'] = json.decode(feed.data.feed_classifier_counts)
# Fetch histories
fetch_history = MFetchHistory.feed(feed_id, timezone=timezone)
stats['feed_fetch_history'] = fetch_history['feed_fetch_history']
stats['page_fetch_history'] = fetch_history['page_fetch_history']
stats['feed_push_history'] = fetch_history['push_history']
logging.user(request, "~FBStatistics: ~SB%s" % (feed))
return stats
def assemble_statistics(user, feed_id):
timezone = user.profile.timezone
stats = dict()
feed = get_object_or_404(Feed, pk=feed_id)
feed.update_all_statistics()
feed.set_next_scheduled_update(verbose=True, skip_scheduling=True)
feed.save_feed_story_history_statistics()
feed.save_classifier_counts()
# Dates of last and next update
stats['active'] = feed.active
stats['last_update'] = relative_timesince(feed.last_update)
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
stats['push'] = feed.is_push
if feed.is_push:
try:
stats['push_expires'] = localtime_for_timezone(
feed.push.lease_expires,
timezone).strftime("%Y-%m-%d %H:%M:%S")
except PushSubscription.DoesNotExist:
stats['push_expires'] = 'Missing push'
feed.is_push = False
feed.save()
# Minutes between updates
update_interval_minutes = feed.get_next_scheduled_update(force=True,
verbose=False)
stats['update_interval_minutes'] = update_interval_minutes
original_active_premium_subscribers = feed.active_premium_subscribers
original_premium_subscribers = feed.premium_subscribers
feed.active_premium_subscribers = max(feed.active_premium_subscribers + 1,
1)
feed.premium_subscribers += 1
premium_update_interval_minutes = feed.get_next_scheduled_update(
force=True, verbose=False, premium_speed=True)
feed.active_premium_subscribers = original_active_premium_subscribers
feed.premium_subscribers = original_premium_subscribers
stats['premium_update_interval_minutes'] = premium_update_interval_minutes
stats['errors_since_good'] = feed.errors_since_good
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
story_count_history = story_count_history and json.decode(
story_count_history)
if story_count_history and isinstance(story_count_history, dict):
stats['story_count_history'] = story_count_history['months']
stats['story_days_history'] = story_count_history['days']
stats['story_hours_history'] = story_count_history['hours']
else:
stats['story_count_history'] = story_count_history
# Rotate hours to match user's timezone offset
localoffset = timezone.utcoffset(datetime.datetime.utcnow())
hours_offset = int(localoffset.total_seconds() / 3600)
rotated_hours = {}
for hour, value in stats['story_hours_history'].items():
rotated_hours[str(int(hour) + hours_offset)] = value
stats['story_hours_history'] = rotated_hours
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
stats['num_subscribers'] = feed.num_subscribers
stats['stories_last_month'] = feed.stories_last_month
stats['last_load_time'] = feed.last_load_time
stats['premium_subscribers'] = feed.premium_subscribers
stats['active_subscribers'] = feed.active_subscribers
stats['active_premium_subscribers'] = feed.active_premium_subscribers
# Classifier counts
stats['classifier_counts'] = json.decode(feed.data.feed_classifier_counts)
# Fetch histories
fetch_history = MFetchHistory.feed(feed_id, timezone=timezone)
stats['feed_fetch_history'] = fetch_history['feed_fetch_history']
stats['page_fetch_history'] = fetch_history['page_fetch_history']
stats['feed_push_history'] = fetch_history['push_history']
return stats
def load_feed_statistics(request, feed_id):
stats = dict()
feed = get_object_or_404(Feed, pk=feed_id)
feed.save_feed_story_history_statistics()
feed.save_classifier_counts()
# Dates of last and next update
stats['active'] = feed.active
stats['last_update'] = relative_timesince(feed.last_update)
if feed.is_push:
stats['next_update'] = "real-time..."
else:
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
# Minutes between updates
update_interval_minutes, _ = feed.get_next_scheduled_update(force=True)
if feed.is_push:
stats['update_interval_minutes'] = 0
else:
stats['update_interval_minutes'] = update_interval_minutes
original_active_premium_subscribers = feed.active_premium_subscribers
original_premium_subscribers = feed.premium_subscribers
feed.active_premium_subscribers = max(feed.active_premium_subscribers + 1,
1)
feed.premium_subscribers += 1
premium_update_interval_minutes, _ = feed.get_next_scheduled_update(
force=True)
feed.active_premium_subscribers = original_active_premium_subscribers
feed.premium_subscribers = original_premium_subscribers
if feed.is_push:
stats['premium_update_interval_minutes'] = 0
else:
stats[
'premium_update_interval_minutes'] = premium_update_interval_minutes
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
stats['story_count_history'] = story_count_history and json.decode(
story_count_history)
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
stats['stories_last_month'] = feed.stories_last_month
stats['last_load_time'] = feed.last_load_time
stats['premium_subscribers'] = feed.premium_subscribers
stats['active_subscribers'] = feed.active_subscribers
stats['active_premium_subscribers'] = feed.active_premium_subscribers
# Classifier counts
stats['classifier_counts'] = json.decode(feed.data.feed_classifier_counts)
# Fetch histories
stats['feed_fetch_history'] = MFeedFetchHistory.feed_history(feed_id)
stats['page_fetch_history'] = MPageFetchHistory.feed_history(feed_id)
stats['feed_push_history'] = MFeedPushHistory.feed_history(feed_id)
logging.user(
request, "~FBStatistics: ~SB%s ~FG(%s/%s/%s subs)" % (
feed,
feed.num_subscribers,
feed.active_subscribers,
feed.premium_subscribers,
))
return stats
def load_feed_statistics(request, feed_id):
user = get_user(request)
timezone = user.profile.timezone
stats = dict()
feed = get_object_or_404(Feed, pk=feed_id)
feed.update_all_statistics()
feed.set_next_scheduled_update(verbose=True, skip_scheduling=True)
feed.save_feed_story_history_statistics()
feed.save_classifier_counts()
# Dates of last and next update
stats['active'] = feed.active
stats['last_update'] = relative_timesince(feed.last_update)
stats['next_update'] = relative_timeuntil(feed.next_scheduled_update)
stats['push'] = feed.is_push
if feed.is_push:
try:
stats['push_expires'] = localtime_for_timezone(
feed.push.lease_expires,
timezone).strftime("%Y-%m-%d %H:%M:%S")
except PushSubscription.DoesNotExist:
stats['push_expires'] = 'Missing push'
feed.is_push = False
feed.save()
# Minutes between updates
update_interval_minutes = feed.get_next_scheduled_update(force=True,
verbose=False)
stats['update_interval_minutes'] = update_interval_minutes
original_active_premium_subscribers = feed.active_premium_subscribers
original_premium_subscribers = feed.premium_subscribers
feed.active_premium_subscribers = max(feed.active_premium_subscribers + 1,
1)
feed.premium_subscribers += 1
premium_update_interval_minutes = feed.get_next_scheduled_update(
force=True, verbose=False, premium_speed=True)
feed.active_premium_subscribers = original_active_premium_subscribers
feed.premium_subscribers = original_premium_subscribers
stats['premium_update_interval_minutes'] = premium_update_interval_minutes
stats['errors_since_good'] = feed.errors_since_good
# Stories per month - average and month-by-month breakout
average_stories_per_month, story_count_history = feed.average_stories_per_month, feed.data.story_count_history
stats['average_stories_per_month'] = average_stories_per_month
stats['story_count_history'] = story_count_history and json.decode(
story_count_history)
# Subscribers
stats['subscriber_count'] = feed.num_subscribers
stats['num_subscribers'] = feed.num_subscribers
stats['stories_last_month'] = feed.stories_last_month
stats['last_load_time'] = feed.last_load_time
stats['premium_subscribers'] = feed.premium_subscribers
stats['active_subscribers'] = feed.active_subscribers
stats['active_premium_subscribers'] = feed.active_premium_subscribers
# Classifier counts
stats['classifier_counts'] = json.decode(feed.data.feed_classifier_counts)
# Fetch histories
fetch_history = MFetchHistory.feed(feed_id, timezone=timezone)
stats['feed_fetch_history'] = fetch_history['feed_fetch_history']
stats['page_fetch_history'] = fetch_history['page_fetch_history']
stats['feed_push_history'] = fetch_history['push_history']
logging.user(request, "~FBStatistics: ~SB%s" % (feed))
return stats
