zulip/zerver/actions/presence.py

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import time
from datetime import datetime, timedelta
from django.conf import settings
from django.db import transaction
from zerver.actions.user_activity import update_user_activity_interval
from zerver.lib.presence import (
format_legacy_presence_dict,
user_presence_datetime_with_date_joined_default,
)
from zerver.lib.queue import queue_json_publish
from zerver.lib.timestamp import datetime_to_timestamp
from zerver.lib.users import get_user_ids_who_can_access_user
from zerver.models import Client, UserPresence, UserProfile
from zerver.models.clients import get_client
from zerver.models.users import active_user_ids
from zerver.tornado.django_api import send_event
def send_presence_changed(
user_profile: UserProfile, presence: UserPresence, *, force_send_update: bool = False
) -> None:
# Most presence data is sent to clients in the main presence
# endpoint in response to the user's own presence; this results
# data that is 1-2 minutes stale for who is online. The flaw with
# this plan is when a user comes back online and then immediately
# sends a message, recipients may still see that user as offline!
# We solve that by sending an immediate presence update clients.
#
# See https://zulip.readthedocs.io/en/latest/subsystems/presence.html for
# internals documentation on presence.
if settings.CAN_ACCESS_ALL_USERS_GROUP_LIMITS_PRESENCE:
user_ids = get_user_ids_who_can_access_user(user_profile)
else:
user_ids = active_user_ids(user_profile.realm_id)
if (
len(user_ids) > settings.USER_LIMIT_FOR_SENDING_PRESENCE_UPDATE_EVENTS
and not force_send_update
):
# These immediate presence generate quadratic work for Tornado
# (linear number of users in each event and the frequency of
# users coming online grows linearly with userbase too). In
# organizations with thousands of users, this can overload
# Tornado, especially if much of the realm comes online at the
# same time.
#
# The utility of these live-presence updates goes down as
# organizations get bigger (since one is much less likely to
# be paying attention to the sidebar); so beyond a limit, we
# stop sending them at all.
return
last_active_time = user_presence_datetime_with_date_joined_default(
presence.last_active_time, user_profile.date_joined
)
last_connected_time = user_presence_datetime_with_date_joined_default(
presence.last_connected_time, user_profile.date_joined
)
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
# The mobile app handles these events so we need to use the old format.
# The format of the event should also account for the slim_presence
# API parameter when this becomes possible in the future.
presence_dict = format_legacy_presence_dict(last_active_time, last_connected_time)
event = dict(
type="presence",
email=user_profile.email,
user_id=user_profile.id,
server_timestamp=time.time(),
presence={presence_dict["client"]: presence_dict},
)
send_event(user_profile.realm, event, user_ids)
def consolidate_client(client: Client) -> Client:
# The web app reports a client as 'website'
# The desktop app reports a client as ZulipDesktop
# due to it setting a custom user agent. We want both
# to count as web users
# Alias ZulipDesktop to website
if client.name in ["ZulipDesktop"]:
return get_client("website")
else:
return client
def do_update_user_presence(
user_profile: UserProfile,
client: Client,
log_time: datetime,
status: int,
*,
force_send_update: bool = False,
) -> None:
client = consolidate_client(client)
# If the user doesn't have a UserPresence row yet, we create one with
# sensible defaults. If we're getting a presence update, clearly the user
# at least connected, so last_connected_time should be set. last_active_time
# will depend on whether the status sent is idle or active.
defaults = dict(
last_active_time=None,
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
last_connected_time=log_time,
realm_id=user_profile.realm_id,
)
if status == UserPresence.LEGACY_STATUS_ACTIVE_INT:
defaults["last_active_time"] = log_time
(presence, created) = UserPresence.objects.get_or_create(
user_profile=user_profile,
defaults=defaults,
)
# We initialize these values as a large delta so that if the user
# was never active, we always treat the user as newly online.
time_since_last_active_for_comparison = timedelta(days=1)
time_since_last_connected_for_comparison = timedelta(days=1)
if presence.last_active_time is not None:
time_since_last_active_for_comparison = log_time - presence.last_active_time
if presence.last_connected_time is not None:
time_since_last_connected_for_comparison = log_time - presence.last_connected_time
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
assert (3 * settings.PRESENCE_PING_INTERVAL_SECS + 20) <= settings.OFFLINE_THRESHOLD_SECS
now_online = time_since_last_active_for_comparison > timedelta(
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
# Here, we decide whether the user is newly online, and we need to consider
# sending an immediate presence update via the events system that this user is now online,
# rather than waiting for other clients to poll the presence update.
# Sending these presence update events adds load to the system, so we only want to do this
# if the user has missed a couple regular presence checkins
# (so their state is at least 2 * PRESENCE_PING_INTERVAL_SECS + 10 old),
# and also is under the risk of being shown by clients as offline before the next regular presence checkin
# (so at least `settings.OFFLINE_THRESHOLD_SECS - settings.PRESENCE_PING_INTERVAL_SECS - 10`).
# These two values happen to be the same in the default configuration.
seconds=settings.OFFLINE_THRESHOLD_SECS
- settings.PRESENCE_PING_INTERVAL_SECS
- 10
)
became_online = status == UserPresence.LEGACY_STATUS_ACTIVE_INT and now_online
update_fields = []
# This check is to prevent updating `last_connected_time` several
# times per minute with multiple connected browser windows.
# We also need to be careful not to wrongly "update" the timestamp if we actually already
# have newer presence than the reported log_time.
if not created and time_since_last_connected_for_comparison > timedelta(
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
seconds=settings.PRESENCE_UPDATE_MIN_FREQ_SECONDS
):
presence.last_connected_time = log_time
update_fields.append("last_connected_time")
if (
not created
and status == UserPresence.LEGACY_STATUS_ACTIVE_INT
and time_since_last_active_for_comparison
> timedelta(seconds=settings.PRESENCE_UPDATE_MIN_FREQ_SECONDS)
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
):
presence.last_active_time = log_time
update_fields.append("last_active_time")
if presence.last_connected_time is None or log_time > presence.last_connected_time:
presence: Rewrite the backend data model. This implements the core of the rewrite described in: For the backend data model for UserPresence to one that supports much more efficient queries and is more correct around handling of multiple clients. The main loss of functionality is that we no longer track which Client sent presence data (so we will no longer be able to say using UserPresence "the user was last online on their desktop 15 minutes ago, but was online with their phone 3 minutes ago"). If we consider that information important for the occasional investigation query, we have can construct that answer data via UserActivity already. It's not worth making Presence much more expensive/complex to support it. For slim_presence clients, this sends the same data format we sent before, albeit with less complexity involved in constructing it. Note that we at present will always send both last_active_time and last_connected_time; we may revisit that in the future. This commit doesn't include the finalizing migration, which drops the UserPresenceOld table. The way to deploy is to start the backfill migration with the server down and then start the server *without* the user_presence queue worker, to let the migration finish without having new data interfering with it. Once the migration is done, the queue worker can be started, leading to the presence data catching up to the current state as the queue worker goes over the queued up events and updating the UserPresence table. Co-authored-by: Mateusz Mandera <mateusz.mandera@zulip.com>
2020-06-11 16:03:47 +02:00
# Update last_connected_time as well to ensure
# last_connected_time >= last_active_time.
presence.last_connected_time = log_time
update_fields.append("last_connected_time")
if len(update_fields) > 0:
presence.save(update_fields=update_fields)
if force_send_update or (
not user_profile.realm.presence_disabled and (created or became_online)
):
# We do a the transaction.on_commit here, rather than inside
# send_presence_changed, to help keep presence transactions
# brief; the active_user_ids call there is more expensive than
# this whole function.
transaction.on_commit(
lambda: send_presence_changed(
user_profile, presence, force_send_update=force_send_update
)
)
def update_user_presence(
user_profile: UserProfile,
client: Client,
log_time: datetime,
status: int,
new_user_input: bool,
) -> None:
event = {
"user_profile_id": user_profile.id,
"status": status,
"time": datetime_to_timestamp(log_time),
"client": client.name,
}
queue_json_publish("user_presence", event)
if new_user_input:
update_user_activity_interval(user_profile, log_time)