zulip/zerver/lib/cache_helpers.py

# See https://zulip.readthedocs.io/en/latest/subsystems/caching.html for docs
import datetime
import logging
from typing import Any, Callable, Dict, List, Tuple

from django.conf import settings
from django.contrib.sessions.models import Session
from django.db.models import Q
from django.utils.timezone import now as timezone_now

# This file needs to be different from cache.py because cache.py
# cannot import anything from zerver.models or we'd have an import
# loop
from analytics.models import RealmCount
from zerver.lib.cache import (
    cache_set_many,
    get_remote_cache_requests,
    get_remote_cache_time,
    get_stream_cache_key,
    to_dict_cache_key_id,
    user_profile_by_api_key_cache_key,
    user_profile_cache_key,
)
from zerver.lib.message import MessageDict
from zerver.lib.sessions import session_engine
from zerver.lib.users import get_all_api_keys
from zerver.models import (
    Client,
    Huddle,
    Message,
    Stream,
    UserProfile,
    get_client_cache_key,
    huddle_hash_cache_key,
)

MESSAGE_CACHE_SIZE = 75000


def message_fetch_objects() -> List[Any]:
    try:
        max_id = Message.objects.only("id").order_by("-id")[0].id
    except IndexError:
        return []
    return Message.objects.select_related().filter(
        ~Q(sender__email="tabbott/extra@mit.edu"), id__gt=max_id - MESSAGE_CACHE_SIZE
    )


def message_cache_items(items_for_remote_cache: Dict[str, Tuple[bytes]], message: Message) -> None:
    """
    Note: this code is untested, and the caller has been
    commented out for a while.
    """
    key = to_dict_cache_key_id(message.id)
    value = MessageDict.to_dict_uncached([message])[message.id]
    items_for_remote_cache[key] = (value,)


def user_cache_items(
    items_for_remote_cache: Dict[str, Tuple[UserProfile]], user_profile: UserProfile
) -> None:
    for api_key in get_all_api_keys(user_profile):
        items_for_remote_cache[user_profile_by_api_key_cache_key(api_key)] = (user_profile,)
    items_for_remote_cache[user_profile_cache_key(user_profile.email, user_profile.realm)] = (
        user_profile,
    )
    # We have other user_profile caches, but none of them are on the
    # core serving path for lots of requests.


def stream_cache_items(items_for_remote_cache: Dict[str, Tuple[Stream]], stream: Stream) -> None:
    items_for_remote_cache[get_stream_cache_key(stream.name, stream.realm_id)] = (stream,)


def client_cache_items(items_for_remote_cache: Dict[str, Tuple[Client]], client: Client) -> None:
    items_for_remote_cache[get_client_cache_key(client.name)] = (client,)


def huddle_cache_items(items_for_remote_cache: Dict[str, Tuple[Huddle]], huddle: Huddle) -> None:
    items_for_remote_cache[huddle_hash_cache_key(huddle.huddle_hash)] = (huddle,)


def session_cache_items(items_for_remote_cache: Dict[str, str], session: Session) -> None:
    if settings.SESSION_ENGINE != "django.contrib.sessions.backends.cached_db":
        # If we're not using the cached_db session engine, we there
        # will be no store.cache_key attribute, and in any case we
        # don't need to fill the cache, since it won't exist.
        return
    store = session_engine.SessionStore(session_key=session.session_key)
    items_for_remote_cache[store.cache_key] = store.decode(session.session_data)


def get_active_realm_ids() -> List[int]:
    """For installations like Zulip Cloud hosting a lot of realms, it only makes
    sense to do cache-filling work for realms that have any currently
    active users/clients.  Otherwise, we end up with every single-user
    trial organization that has ever been created costing us N streams
    worth of cache work (where N is the number of default streams for
    a new organization).
    """
    date = timezone_now() - datetime.timedelta(days=2)
    return (
        RealmCount.objects.filter(end_time__gte=date, property="1day_actives::day", value__gt=0)
        .distinct("realm_id")
        .values_list("realm_id", flat=True)
    )


def get_streams() -> List[Stream]:
    return (
        Stream.objects.select_related()
        .filter(realm__in=get_active_realm_ids())
        .exclude(
            # We filter out Zephyr realms, because they can easily
            # have 10,000s of streams with only 1 subscriber.
            is_in_zephyr_realm=True
        )
    )


def get_users() -> List[UserProfile]:
    return UserProfile.objects.select_related().filter(
        long_term_idle=False, realm__in=get_active_realm_ids()
    )


# Format is (objects query, items filler function, timeout, batch size)
#
# The objects queries are put inside lambdas to prevent Django from
# doing any setup for things we're unlikely to use (without the lambda
# wrapper the below adds an extra 3ms or so to startup time for
# anything importing this file).
cache_fillers: Dict[
    str, Tuple[Callable[[], List[Any]], Callable[[Dict[str, Any], Any], None], int, int]
] = {
    "user": (get_users, user_cache_items, 3600 * 24 * 7, 10000),
    "client": (
        lambda: Client.objects.select_related().all(),
        client_cache_items,
        3600 * 24 * 7,
        10000,
    ),
    "stream": (get_streams, stream_cache_items, 3600 * 24 * 7, 10000),
    # Message cache fetching disabled until we can fix the fact that it
    # does a bunch of inefficient memcached queries as part of filling
    # the display_recipient cache
    #    'message': (message_fetch_objects, message_cache_items, 3600 * 24, 1000),
    "huddle": (
        lambda: Huddle.objects.select_related().all(),
        huddle_cache_items,
        3600 * 24 * 7,
        10000,
    ),
    "session": (lambda: Session.objects.all(), session_cache_items, 3600 * 24 * 7, 10000),
}


def fill_remote_cache(cache: str) -> None:
    remote_cache_time_start = get_remote_cache_time()
    remote_cache_requests_start = get_remote_cache_requests()
    items_for_remote_cache: Dict[str, Any] = {}
    (objects, items_filler, timeout, batch_size) = cache_fillers[cache]
    count = 0
    for obj in objects():
        items_filler(items_for_remote_cache, obj)
        count += 1
        if count % batch_size == 0:
            cache_set_many(items_for_remote_cache, timeout=3600 * 24)
            items_for_remote_cache = {}
    cache_set_many(items_for_remote_cache, timeout=3600 * 24 * 7)
    logging.info(
        "Successfully populated %s cache!  Consumed %s remote cache queries (%s time)",
        cache,
        get_remote_cache_requests() - remote_cache_requests_start,
        round(get_remote_cache_time() - remote_cache_time_start, 2),
    )