2013-04-30 23:58:59 +02:00
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from __future__ import absolute_import
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2015-11-01 17:11:06 +01:00
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from __future__ import print_function
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2013-04-30 23:58:59 +02:00
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from django.core.management.base import BaseCommand
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2017-02-25 21:50:51 +01:00
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from django.utils import timezone
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2016-06-04 16:52:18 +02:00
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from typing import Any
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2013-04-30 23:58:59 +02:00
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2013-07-29 23:03:31 +02:00
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from zerver.models import UserPresence, UserActivity
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from zerver.lib.utils import statsd, statsd_key
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2013-04-30 23:58:59 +02:00
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from datetime import datetime, timedelta
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from collections import defaultdict
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class Command(BaseCommand):
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help = """Sends active user statistics to statsd.
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Run as a cron job that runs every 10 minutes."""
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def handle(self, *args, **options):
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2016-06-04 16:52:18 +02:00
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# type: (*Any, **Any) -> None
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2013-04-30 23:58:59 +02:00
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# Get list of all active users in the last 1 week
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2017-02-26 03:37:55 +01:00
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cutoff = timezone.now() - timedelta(minutes=30, hours=168)
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2013-04-30 23:58:59 +02:00
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users = UserPresence.objects.select_related().filter(timestamp__gt=cutoff)
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2013-05-03 16:22:28 +02:00
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# Calculate 10min, 2hrs, 12hrs, 1day, 2 business days (TODO business days), 1 week bucket of stats
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hour_buckets = [0.16, 2, 12, 24, 48, 168]
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2016-01-26 02:44:57 +01:00
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user_info = defaultdict(dict) # type: Dict[str, Dict[float, List[str]]]
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2013-04-30 23:58:59 +02:00
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for last_presence in users:
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if last_presence.status == UserPresence.IDLE:
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known_active = last_presence.timestamp - timedelta(minutes=30)
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else:
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known_active = last_presence.timestamp
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for bucket in hour_buckets:
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2017-01-08 19:48:22 +01:00
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if bucket not in user_info[last_presence.user_profile.realm.string_id]:
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user_info[last_presence.user_profile.realm.string_id][bucket] = []
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2017-02-25 21:50:51 +01:00
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if timezone.now() - known_active < timedelta(hours=bucket):
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2017-01-08 19:48:22 +01:00
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user_info[last_presence.user_profile.realm.string_id][bucket].append(last_presence.user_profile.email)
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2013-04-30 23:58:59 +02:00
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for realm, buckets in user_info.items():
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2015-12-01 17:11:16 +01:00
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print("Realm %s" % (realm,))
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2013-04-30 23:58:59 +02:00
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for hr, users in sorted(buckets.items()):
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print("\tUsers for %s: %s" % (hr, len(users)))
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2016-05-04 23:19:13 +02:00
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statsd.gauge("users.active.%s.%shr" % (statsd_key(realm, True), statsd_key(hr, True)), len(users))
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2013-04-30 23:58:59 +02:00
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2013-05-13 19:18:50 +02:00
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# Also do stats for how many users have been reading the app.
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2016-04-01 12:16:09 +02:00
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users_reading = UserActivity.objects.select_related().filter(query="/json/messages/flags")
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2013-05-23 19:23:48 +02:00
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user_info = defaultdict(dict)
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2013-05-13 19:18:50 +02:00
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for activity in users_reading:
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for bucket in hour_buckets:
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2017-01-08 19:48:22 +01:00
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if bucket not in user_info[activity.user_profile.realm.string_id]:
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user_info[activity.user_profile.realm.string_id][bucket] = []
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2017-02-25 21:50:51 +01:00
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if timezone.now() - activity.last_visit < timedelta(hours=bucket):
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2017-01-08 19:48:22 +01:00
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user_info[activity.user_profile.realm.string_id][bucket].append(activity.user_profile.email)
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2013-05-13 19:18:50 +02:00
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for realm, buckets in user_info.items():
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2015-12-01 17:11:16 +01:00
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print("Realm %s" % (realm,))
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2013-05-13 19:18:50 +02:00
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for hr, users in sorted(buckets.items()):
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print("\tUsers reading for %s: %s" % (hr, len(users)))
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2016-05-04 23:19:13 +02:00
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statsd.gauge("users.reading.%s.%shr" % (statsd_key(realm, True), statsd_key(hr, True)), len(users))
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