zulip/analytics/lib/counts.py

from django.db import connection, models
from django.utils import timezone
from django.conf import settings
from datetime import timedelta, datetime

from analytics.models import InstallationCount, RealmCount, \
    UserCount, StreamCount, BaseCount, FillState, get_fill_state, installation_epoch
from zerver.models import Realm, UserProfile, Message, Stream, models
from zerver.lib.timestamp import floor_to_day

from typing import Any, Optional, Type, Tuple
from six import text_type

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: (text_type, 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 ValueError("Unknown frequency: %s" % (frequency,))
        self.frequency = frequency
        self.interval = self.GAUGE if is_gauge else frequency

class ZerverCountQuery(object):
    def __init__(self, zerver_table, analytics_table, query):
        # type: (Type[models.Model], Type[BaseCount], text_type) -> None
        self.zerver_table = zerver_table
        self.analytics_table = analytics_table
        self.query = query

def process_count_stat(stat, fill_to_time):
    # type: (CountStat, datetime) -> None
    fill_state = get_fill_state(stat.property)
    if fill_state is None:
        currently_filled = installation_epoch()
        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_count_stat_at_hour(stat, fill_state['end_time'])
        currently_filled = fill_state['end_time'] - timedelta(hours = 1)
        FillState.objects.filter(property = stat.property). \
            update(end_time = currently_filled, state = FillState.DONE)
        logger.info("UNDO DONE %s" % (stat.property,))
    elif fill_state['state'] == FillState.DONE:
        currently_filled = fill_state['end_time']
    else:
        raise ValueError("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()
        FillState.objects.filter(property = stat.property) \
                     .update(end_time = currently_filled, state = FillState.STARTED)
        do_fill_count_stat_at_hour(stat, currently_filled)
        FillState.objects.filter(property = stat.property).update(state = 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

    do_pull_from_zerver(stat, start_time, end_time, stat.interval)
    do_aggregate_to_summary_table(stat, end_time, stat.interval)

def do_delete_count_stat_at_hour(stat, end_time):
    # type: (CountStat, datetime) -> None
    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_aggregate_to_summary_table(stat, end_time, interval):
    # type: (CountStat, datetime, str) -> 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, interval)
            SELECT
                zerver_realm.id, COALESCE(sum(%(analytics_table)s.value), 0), '%(property)s',
                %(analytics_table)s.subgroup, %%(end_time)s, '%(interval)s'
            FROM zerver_realm
            JOIN %(analytics_table)s
            ON
            (
                %(analytics_table)s.realm_id = zerver_realm.id AND
                %(analytics_table)s.property = '%(property)s' AND
                %(analytics_table)s.end_time = %%(end_time)s AND
                %(analytics_table)s.interval = '%(interval)s'
            )
            GROUP BY zerver_realm.id, %(analytics_table)s.subgroup
        """ % {'analytics_table' : analytics_table._meta.db_table,
               'property' : stat.property,
               'interval' : interval}
        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, interval)
        SELECT
            sum(value), '%(property)s', analytics_realmcount.subgroup, %%(end_time)s, '%(interval)s'
        FROM analytics_realmcount
        WHERE
        (
            property = '%(property)s' AND
            end_time = %%(end_time)s AND
            interval = '%(interval)s'
        ) GROUP BY analytics_realmcount.subgroup
    """ % {'property': stat.property,
           'interval': interval}
    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, interval):
    # type: (CountStat, datetime, datetime, str) -> 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,
                                              'interval' : interval,
                                              '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()

count_user_by_realm_query = """
    INSERT INTO analytics_realmcount
        (realm_id, value, property, subgroup, end_time, interval)
    SELECT
        zerver_realm.id, count(%(zerver_table)s),'%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
    FROM zerver_realm
    JOIN zerver_userprofile
    ON
    (
        zerver_userprofile.realm_id = zerver_realm.id AND
        zerver_userprofile.date_joined >= %%(time_start)s AND
        zerver_userprofile.date_joined < %%(time_end)s
        %(join_args)s
    )
    WHERE
        zerver_realm.date_created < %%(time_end)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, interval)
    SELECT
        zerver_userprofile.id, zerver_userprofile.realm_id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
    FROM zerver_userprofile
    JOIN zerver_message
    ON
    (
        zerver_message.sender_id = zerver_userprofile.id AND
        zerver_message.pub_date >= %%(time_start)s AND
        zerver_message.pub_date < %%(time_end)s
        %(join_args)s
    )
    WHERE
            zerver_userprofile.date_joined < %%(time_end)s
    GROUP BY zerver_userprofile.id %(group_by_clause)s
"""
zerver_count_message_by_user = ZerverCountQuery(Message, UserCount, count_message_by_user_query)

count_message_by_stream_query = """
    INSERT INTO analytics_streamcount
        (stream_id, realm_id, value, property, subgroup, end_time, interval)
    SELECT
        zerver_stream.id, zerver_stream.realm_id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
    FROM zerver_stream
    JOIN zerver_recipient
    ON
    (
        zerver_recipient.type = 2 AND
        zerver_stream.id = zerver_recipient.type_id
    )
    JOIN zerver_message
    ON
    (
        zerver_message.recipient_id = zerver_recipient.id AND
        zerver_message.pub_date >= %%(time_start)s AND
        zerver_message.pub_date < %%(time_end)s AND
        zerver_stream.date_created < %%(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_stream_by_realm_query = """
    INSERT INTO analytics_realmcount
        (realm_id, value, property, subgroup, end_time, interval)
    SELECT
        zerver_realm.id, count(*), '%(property)s', %(subgroup)s, %%(time_end)s, '%(interval)s'
    FROM zerver_realm
    JOIN zerver_stream
    ON
    (
        zerver_stream.realm_id = zerver_realm.id AND
        zerver_stream.date_created >= %%(time_start)s AND
        zerver_stream.date_created < %%(time_end)s
        %(join_args)s
    )
    WHERE
        zerver_realm.date_created < %%(time_end)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, interval)
    SELECT realm_id, id, SUM(count) AS value, 'message_type_by_user', message_type, %%(time_end)s, '%(interval)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_message.sender_id = zerver_userprofile.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_recipient.id = zerver_message.recipient_id
        JOIN zerver_stream
        ON
            zerver_stream.id = zerver_recipient.type_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)

COUNT_STATS = {
    'active_users:is_bot': CountStat('active_users:is_bot', zerver_count_user_by_realm,
                                        {'is_active': True}, (UserProfile, 'is_bot'), CountStat.DAY, True),
    'messages_sent': CountStat('messages_sent', zerver_count_message_by_user, {}, None,
                               CountStat.HOUR, False),
    'messages_sent:is_bot': CountStat('messages_sent:is_bot', zerver_count_message_by_user, {},
                                         (UserProfile, 'is_bot'), CountStat.DAY, False),
    'messages_sent:message_type': CountStat('messages_sent:message_type',
                                              zerver_count_message_type_by_user, {},
                                              None, CountStat.DAY, False)
}