def episode_listener_data(
episode, start_date=datetime(2010, 1, 1), leap=timedelta(days=1)
):
"""Returns data for the episode listener timeseries
An iterator with data for each day (starting from the first event
is returned, where each day is represented by a ListenerData tuple"""
history = EpisodeHistoryEntry.objects.filter(
episode=episode, timestamp__gte=start_date
)
# contains play-counts, indexed by date {date: play-count}
play_counts = playcounts_timerange(history)
# we start either at the episode-release or the first listen-event
events = (
list(play_counts.keys()) + [episode.released.date()] if episode.released else []
)
if not events:
return
# we always start at the first listen-event
start = min(events)
for date in daterange(start, leap=leap):
playcount = play_counts.get(date, 0)
e = episode if (episode.released.date() == date) else None
yield ListenerData(date, playcount, e)
def episode_listener_data(episode, start_date=datetime(2010, 1, 1),
leap=timedelta(days=1)):
""" Returns data for the episode listener timeseries
An iterator with data for each day (starting from the first event
is returned, where each day is represented by a ListenerData tuple """
history = EpisodeHistoryEntry.objects\
.filter(episode=episode,
timestamp__gte=start_date)\
# contains play-counts, indexed by date {date: play-count}
play_counts = playcounts_timerange(history)
# we start either at the episode-release or the first listen-event
events = play_counts.keys() + \
[episode.released.date()] if episode.released else []
if not events:
return
# we always start at the first listen-event
start = min(events)
for date in daterange(start, leap=leap):
playcount = play_counts.get(date, 0)
e = episode if (episode.released.date() == date) else None
yield ListenerData(date, playcount, e)
def listener_data(podcasts, start_date=datetime(2010, 1, 1), leap=timedelta(days=1)):
"""Returns data for the podcast listener timeseries
An iterator with data for each day (starting from either the first released
episode or the earliest play-event) is returned, where each day is
reresented by a ListenerData tuple."""
# index episodes by releaes-date
episodes = Episode.objects.filter(podcast__in=podcasts, released__gt=start_date)
episodes = {e.released.date(): e for e in episodes}
history = EpisodeHistoryEntry.objects.filter(
episode__podcast__in=podcasts, timestamp__gte=start_date
)
# contains play-counts, indexed by date {date: play-count}
play_counts = playcounts_timerange(history)
# we start either at the first episode-release or the first listen-event
events = list(episodes.keys()) + list(play_counts.keys())
if not events:
# if we don't have any events, stop
return
start = min(events)
for date in daterange(start, leap=leap):
playcount = play_counts.get(date, 0)
episode = episodes.get(date, None)
yield ListenerData(date, playcount, episode)
def listener_data(podcasts, start_date=datetime(2010, 1, 1),
leap=timedelta(days=1)):
""" Returns data for the podcast listener timeseries
An iterator with data for each day (starting from either the first released
episode or the earliest play-event) is returned, where each day is
reresented by a ListenerData tuple. """
# index episodes by releaes-date
episodes = Episode.objects.filter(podcast__in=podcasts,
released__gt=start_date)
episodes = {e.released.date(): e for e in episodes}
history = EpisodeHistoryEntry.objects\
.filter(episode__podcast__in=podcasts,
timestamp__gte=start_date)\
# contains play-counts, indexed by date {date: play-count}
play_counts = playcounts_timerange(history)
# we start either at the first episode-release or the first listen-event
events = episodes.keys() + play_counts.keys()
if not events:
# if we don't have any events, stop
return
start = min(events)
for date in daterange(start, leap=leap):
playcount = play_counts.get(date, 0)
episode = episodes.get(date, None)
yield ListenerData(date, playcount, episode)
