from django.conf import settings from django.db import connection, models from django.db.models import F from django.utils import timezone from analytics.models import InstallationCount, RealmCount, \ UserCount, StreamCount, BaseCount, FillState, installation_epoch from zerver.models import Realm, UserProfile, Message, Stream, models from zerver.lib.timestamp import floor_to_day, floor_to_hour, ceiling_to_day, \ ceiling_to_hour from typing import Any, Dict, Optional, Text, Tuple, Type, Union from datetime import timedelta, datetime import logging import time ## Logging setup ## log_format = '%(asctime)s %(levelname)-8s %(message)s' logging.basicConfig(format=log_format) formatter = logging.Formatter(log_format) file_handler = logging.FileHandler(settings.ANALYTICS_LOG_PATH) file_handler.setFormatter(formatter) logger = logging.getLogger("zulip.management") logger.setLevel(logging.INFO) logger.addHandler(file_handler) # First post office in Boston MIN_TIME = datetime(1639, 1, 1, 0, 0, 0, tzinfo=timezone.utc) class CountStat(object): HOUR = 'hour' DAY = 'day' FREQUENCIES = frozenset([HOUR, DAY]) # Allowed intervals are HOUR, DAY, and, GAUGE GAUGE = 'gauge' def __init__(self, property, zerver_count_query, filter_args, group_by, frequency, is_gauge): # type: (str, ZerverCountQuery, Dict[str, bool], Optional[Tuple[models.Model, str]], str, bool) -> None self.property = property self.zerver_count_query = zerver_count_query # might have to do something different for bitfields self.filter_args = filter_args self.group_by = group_by if frequency not in self.FREQUENCIES: raise AssertionError("Unknown frequency: %s" % (frequency,)) self.frequency = frequency self.interval = self.GAUGE if is_gauge else frequency self.is_logging = False def __unicode__(self): # type: () -> Text return u"" % (self.property,) class LoggingCountStat(CountStat): def __init__(self, property, analytics_table, frequency): # type: (str, Type[BaseCount], str) -> None CountStat.__init__(self, property, ZerverCountQuery(None, analytics_table, None), {}, None, frequency, False) self.is_logging = True class ZerverCountQuery(object): def __init__(self, zerver_table, analytics_table, query): # type: (Type[models.Model], Type[BaseCount], Text) -> None self.zerver_table = zerver_table self.analytics_table = analytics_table self.query = query def do_update_fill_state(fill_state, end_time, state): # type: (FillState, datetime, int) -> None fill_state.end_time = end_time fill_state.state = state fill_state.save() def process_count_stat(stat, fill_to_time): # type: (CountStat, datetime) -> None fill_state = FillState.objects.filter(property=stat.property).first() if fill_state is None: currently_filled = installation_epoch() fill_state = FillState.objects.create(property=stat.property, end_time=currently_filled, state=FillState.DONE) logger.info("INITIALIZED %s %s" % (stat.property, currently_filled)) elif fill_state.state == FillState.STARTED: logger.info("UNDO START %s %s" % (stat.property, fill_state.end_time)) do_delete_counts_at_hour(stat, fill_state.end_time) currently_filled = fill_state.end_time - timedelta(hours = 1) do_update_fill_state(fill_state, currently_filled, FillState.DONE) logger.info("UNDO DONE %s" % (stat.property,)) elif fill_state.state == FillState.DONE: currently_filled = fill_state.end_time else: raise AssertionError("Unknown value for FillState.state: %s." % (fill_state.state,)) currently_filled = currently_filled + timedelta(hours = 1) while currently_filled <= fill_to_time: logger.info("START %s %s %s" % (stat.property, stat.interval, currently_filled)) start = time.time() do_update_fill_state(fill_state, currently_filled, FillState.STARTED) do_fill_count_stat_at_hour(stat, currently_filled) do_update_fill_state(fill_state, currently_filled, FillState.DONE) end = time.time() currently_filled = currently_filled + timedelta(hours = 1) logger.info("DONE %s %s (%dms)" % (stat.property, stat.interval, (end-start)*1000)) # We assume end_time is on an hour boundary, and is timezone aware. # It is the caller's responsibility to enforce this! def do_fill_count_stat_at_hour(stat, end_time): # type: (CountStat, datetime) -> None if stat.frequency == CountStat.DAY and (end_time != floor_to_day(end_time)): return if stat.interval == CountStat.HOUR: start_time = end_time - timedelta(hours = 1) elif stat.interval == CountStat.DAY: start_time = end_time - timedelta(days = 1) else: # stat.interval == CountStat.GAUGE start_time = MIN_TIME if not stat.is_logging: do_pull_from_zerver(stat, start_time, end_time) do_aggregate_to_summary_table(stat, end_time) def do_delete_counts_at_hour(stat, end_time): # type: (CountStat, datetime) -> None if stat.is_logging: InstallationCount.objects.filter(property=stat.property, end_time=end_time).delete() if stat.zerver_count_query.analytics_table in [UserCount, StreamCount]: RealmCount.objects.filter(property=stat.property, end_time=end_time).delete() else: UserCount.objects.filter(property=stat.property, end_time=end_time).delete() StreamCount.objects.filter(property=stat.property, end_time=end_time).delete() RealmCount.objects.filter(property=stat.property, end_time=end_time).delete() InstallationCount.objects.filter(property=stat.property, end_time=end_time).delete() def do_drop_all_analytics_tables(): # type: () -> None UserCount.objects.all().delete() StreamCount.objects.all().delete() RealmCount.objects.all().delete() InstallationCount.objects.all().delete() FillState.objects.all().delete() def do_aggregate_to_summary_table(stat, end_time): # type: (CountStat, datetime) -> None cursor = connection.cursor() # Aggregate into RealmCount analytics_table = stat.zerver_count_query.analytics_table if analytics_table in (UserCount, StreamCount): realmcount_query = """ INSERT INTO analytics_realmcount (realm_id, value, property, subgroup, end_time) SELECT zerver_realm.id, COALESCE(sum(%(analytics_table)s.value), 0), '%(property)s', %(analytics_table)s.subgroup, %%(end_time)s FROM zerver_realm JOIN %(analytics_table)s ON zerver_realm.id = %(analytics_table)s.realm_id WHERE %(analytics_table)s.property = '%(property)s' AND %(analytics_table)s.end_time = %%(end_time)s GROUP BY zerver_realm.id, %(analytics_table)s.subgroup """ % {'analytics_table': analytics_table._meta.db_table, 'property': stat.property} start = time.time() cursor.execute(realmcount_query, {'end_time': end_time}) end = time.time() logger.info("%s RealmCount aggregation (%dms/%sr)" % (stat.property, (end-start)*1000, cursor.rowcount)) # Aggregate into InstallationCount installationcount_query = """ INSERT INTO analytics_installationcount (value, property, subgroup, end_time) SELECT sum(value), '%(property)s', analytics_realmcount.subgroup, %%(end_time)s FROM analytics_realmcount WHERE property = '%(property)s' AND end_time = %%(end_time)s GROUP BY analytics_realmcount.subgroup """ % {'property': stat.property} start = time.time() cursor.execute(installationcount_query, {'end_time': end_time}) end = time.time() logger.info("%s InstallationCount aggregation (%dms/%sr)" % (stat.property, (end-start)*1000, cursor.rowcount)) cursor.close() # This is the only method that hits the prod databases directly. def do_pull_from_zerver(stat, start_time, end_time): # type: (CountStat, datetime, datetime) -> None zerver_table = stat.zerver_count_query.zerver_table._meta.db_table # type: ignore join_args = ' '.join('AND %s.%s = %s' % (zerver_table, key, value) for key, value in stat.filter_args.items()) if stat.group_by is None: subgroup = 'NULL' group_by_clause = '' else: subgroup = '%s.%s' % (stat.group_by[0]._meta.db_table, stat.group_by[1]) group_by_clause = ', ' + subgroup # We do string replacement here because passing join_args as a param # may result in problems when running cursor.execute; we do # the string formatting prior so that cursor.execute runs it as sql query_ = stat.zerver_count_query.query % {'zerver_table': zerver_table, 'property': stat.property, 'join_args': join_args, 'subgroup': subgroup, 'group_by_clause': group_by_clause} cursor = connection.cursor() start = time.time() cursor.execute(query_, {'time_start': start_time, 'time_end': end_time}) end = time.time() logger.info("%s do_pull_from_zerver (%dms/%sr)" % (stat.property, (end-start)*1000, cursor.rowcount)) cursor.close() # called from zerver/lib/actions.py; should not throw any errors def do_increment_logging_stat(zerver_object, stat, subgroup, event_time, increment=1): # type: (Union[Realm, UserProfile, Stream], CountStat, Optional[Union[str, int, bool]], datetime, int) -> None table = stat.zerver_count_query.analytics_table if table == RealmCount: id_args = {'realm': zerver_object} elif table == UserCount: id_args = {'realm': zerver_object.realm, 'user': zerver_object} else: # StreamCount id_args = {'realm': zerver_object.realm, 'stream': zerver_object} if stat.frequency == CountStat.DAY: end_time = ceiling_to_day(event_time) else: # CountStat.HOUR: end_time = ceiling_to_hour(event_time) row, created = table.objects.get_or_create( property=stat.property, subgroup=subgroup, end_time=end_time, defaults={'value': increment}, **id_args) if not created: row.value = F('value') + increment row.save(update_fields=['value']) count_user_by_realm_query = """ INSERT INTO analytics_realmcount (realm_id, value, property, subgroup, end_time) SELECT zerver_realm.id, count(%(zerver_table)s),'%(property)s', %(subgroup)s, %%(time_end)s FROM zerver_realm JOIN zerver_userprofile ON zerver_realm.id = zerver_userprofile.realm_id WHERE zerver_realm.date_created < %%(time_end)s AND zerver_userprofile.date_joined >= %%(time_start)s AND zerver_userprofile.date_joined < %%(time_end)s %(join_args)s GROUP BY zerver_realm.id %(group_by_clause)s """ zerver_count_user_by_realm = ZerverCountQuery(UserProfile, RealmCount, count_user_by_realm_query) # currently .sender_id is only Message specific thing count_message_by_user_query = """ INSERT INTO analytics_usercount (user_id, realm_id, value, property, subgroup, end_time) SELECT zerver_userprofile.id, zerver_userprofile.realm_id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s FROM zerver_userprofile JOIN zerver_message ON zerver_userprofile.id = zerver_message.sender_id WHERE zerver_userprofile.date_joined < %%(time_end)s AND zerver_message.pub_date >= %%(time_start)s AND zerver_message.pub_date < %%(time_end)s %(join_args)s GROUP BY zerver_userprofile.id %(group_by_clause)s """ zerver_count_message_by_user = ZerverCountQuery(Message, UserCount, count_message_by_user_query) # Currently unused and untested count_stream_by_realm_query = """ INSERT INTO analytics_realmcount (realm_id, value, property, subgroup, end_time) SELECT zerver_realm.id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s FROM zerver_realm JOIN zerver_stream ON zerver_realm.id = zerver_stream.realm_id AND WHERE zerver_realm.date_created < %%(time_end)s AND zerver_stream.date_created >= %%(time_start)s AND zerver_stream.date_created < %%(time_end)s %(join_args)s GROUP BY zerver_realm.id %(group_by_clause)s """ zerver_count_stream_by_realm = ZerverCountQuery(Stream, RealmCount, count_stream_by_realm_query) # This query violates the count_X_by_Y_query conventions in several ways. One, # the X table is not specified by the query name; MessageType is not a zerver # table. Two, it ignores the subgroup column in the CountStat object; instead, # it uses 'message_type' from the subquery to fill in the subgroup column. count_message_type_by_user_query = """ INSERT INTO analytics_usercount (realm_id, user_id, value, property, subgroup, end_time) SELECT realm_id, id, SUM(count) AS value, '%(property)s', message_type, %%(time_end)s FROM ( SELECT zerver_userprofile.realm_id, zerver_userprofile.id, count(*), CASE WHEN zerver_recipient.type != 2 THEN 'private_message' WHEN zerver_stream.invite_only = TRUE THEN 'private_stream' ELSE 'public_stream' END message_type FROM zerver_userprofile JOIN zerver_message ON zerver_userprofile.id = zerver_message.sender_id AND zerver_message.pub_date >= %%(time_start)s AND zerver_message.pub_date < %%(time_end)s %(join_args)s JOIN zerver_recipient ON zerver_message.recipient_id = zerver_recipient.id LEFT JOIN zerver_stream ON zerver_recipient.type_id = zerver_stream.id GROUP BY zerver_userprofile.realm_id, zerver_userprofile.id, zerver_recipient.type, zerver_stream.invite_only ) AS subquery GROUP BY realm_id, id, message_type """ zerver_count_message_type_by_user = ZerverCountQuery(Message, UserCount, count_message_type_by_user_query) # Note that this query also joins to the UserProfile table, since all # current queries that use this also subgroup on UserProfile.is_bot. If in # the future there is a query that counts messages by stream and doesn't need # the UserProfile table, consider writing a new query for efficiency. count_message_by_stream_query = """ INSERT INTO analytics_streamcount (stream_id, realm_id, value, property, subgroup, end_time) SELECT zerver_stream.id, zerver_stream.realm_id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s FROM zerver_stream JOIN zerver_recipient ON zerver_stream.id = zerver_recipient.type_id JOIN zerver_message ON zerver_recipient.id = zerver_message.recipient_id JOIN zerver_userprofile ON zerver_message.sender_id = zerver_userprofile.id WHERE zerver_stream.date_created < %%(time_end)s AND zerver_recipient.type = 2 AND zerver_message.pub_date >= %%(time_start)s AND zerver_message.pub_date < %%(time_end)s %(join_args)s GROUP BY zerver_stream.id %(group_by_clause)s """ zerver_count_message_by_stream = ZerverCountQuery(Message, StreamCount, count_message_by_stream_query) count_stats_ = [ CountStat('active_users:is_bot:day', zerver_count_user_by_realm, {'is_active': True}, (UserProfile, 'is_bot'), CountStat.DAY, True), CountStat('messages_sent:is_bot:hour', zerver_count_message_by_user, {}, (UserProfile, 'is_bot'), CountStat.HOUR, False), CountStat('messages_sent:message_type:day', zerver_count_message_type_by_user, {}, None, CountStat.DAY, False), CountStat('messages_sent:client:day', zerver_count_message_by_user, {}, (Message, 'sending_client_id'), CountStat.DAY, False), CountStat('messages_in_stream:is_bot:day', zerver_count_message_by_stream, {}, (UserProfile, 'is_bot'), CountStat.DAY, False), LoggingCountStat('active_users_log:is_bot:day', RealmCount, CountStat.DAY), ] COUNT_STATS = {stat.property: stat for stat in count_stats_}