zulip/zerver/tests/test_queue_worker.py

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import base64
import os
import time
from collections import defaultdict
from inspect import isabstract
from typing import Any, Callable, Dict, List, Mapping, Optional
from unittest.mock import MagicMock, patch
import orjson
from django.conf import settings
from django.test import override_settings
from zerver.lib.email_mirror import RateLimitedRealmMirror
from zerver.lib.email_mirror_helpers import encode_email_address
from zerver.lib.queue import MAX_REQUEST_RETRIES
from zerver.lib.rate_limiter import RateLimiterLockingException
from zerver.lib.remote_server import PushNotificationBouncerRetryLaterError
from zerver.lib.send_email import EmailNotDeliveredException, FromAddress
from zerver.lib.test_classes import ZulipTestCase
from zerver.lib.test_helpers import mock_queue_publish, simulated_queue_client
from zerver.models import PreregistrationUser, UserActivity, get_client, get_realm, get_stream
from zerver.tornado.event_queue import build_offline_notification
from zerver.worker import queue_processors
from zerver.worker.queue_processors import (
EmailSendingWorker,
LoopQueueProcessingWorker,
MissedMessageWorker,
QueueProcessingWorker,
get_active_worker_queues,
)
Event = Dict[str, Any]
class WorkerTest(ZulipTestCase):
class FakeClient:
def __init__(self) -> None:
self.queues: Dict[str, List[Dict[str, Any]]] = defaultdict(list)
def enqueue(self, queue_name: str, data: Dict[str, Any]) -> None:
self.queues[queue_name].append(data)
def start_json_consumer(
self,
queue_name: str,
callback: Callable[[List[Dict[str, Any]]], None],
batch_size: int = 1,
timeout: Optional[int] = None,
) -> None:
chunk: List[Dict[str, Any]] = []
queue = self.queues[queue_name]
while queue:
chunk.append(queue.pop(0))
if len(chunk) >= batch_size or not len(queue):
callback(chunk)
chunk = []
queue: Rename queue_size, and update for all local queues. Despite its name, the `queue_size` method does not return the number of items in the queue; it returns the number of items that the local consumer has delivered but unprocessed. These are often, but not always, the same. RabbitMQ's queues maintain the queue of unacknowledged messages; when a consumer connects, it sends to the consumer some number of messages to handle, known as the "prefetch." This is a performance optimization, to ensure the consumer code does not need to wait for a network round-trip before having new data to consume. The default prefetch is 0, which means that RabbitMQ immediately dumps all outstanding messages to the consumer, which slowly processes and acknowledges them. If a second consumer were to connect to the same queue, they would receive no messages to process, as the first consumer has already been allocated them. If the first consumer disconnects or crashes, all prior events sent to it are then made available for other consumers on the queue. The consumer does not know the total size of the queue -- merely how many messages it has been handed. No change is made to the prefetch here; however, future changes may wish to limit the prefetch, either for memory-saving, or to allow multiple consumers to work the same queue. Rename the method to make clear that it only contains information about the local queue in the consumer, not the full RabbitMQ queue. Also include the waiting message count, which is used by the `consume()` iterator for similar purpose to the pending events list.
2020-10-09 22:12:55 +02:00
def local_queue_size(self) -> int:
return sum([len(q) for q in self.queues.values()])
def test_UserActivityWorker(self) -> None:
fake_client = self.FakeClient()
user = self.example_user("hamlet")
UserActivity.objects.filter(
user_profile=user.id,
client=get_client("ios"),
).delete()
data = dict(
user_profile_id=user.id,
client_id=get_client("ios").id,
time=time.time(),
query="send_message",
)
fake_client.enqueue("user_activity", data)
# The block below adds an event using the old format,
# having the client name instead of id, to test the queue
# worker handles it correctly. That compatibility code can
# be deleted in a later release, and this test should then be cleaned up.
data_old_format = dict(
user_profile_id=user.id,
client="ios",
time=time.time(),
query="send_message",
)
fake_client.enqueue("user_activity", data_old_format)
with simulated_queue_client(lambda: fake_client):
worker = queue_processors.UserActivityWorker()
worker.setup()
worker.start()
activity_records = UserActivity.objects.filter(
user_profile=user.id,
client=get_client("ios"),
)
self.assert_length(activity_records, 1)
self.assertEqual(activity_records[0].count, 2)
# Now process the event a second time and confirm count goes
# up. Ideally, we'd use an event with a slightly newer
# time, but it's not really important.
fake_client.enqueue("user_activity", data)
with simulated_queue_client(lambda: fake_client):
worker = queue_processors.UserActivityWorker()
worker.setup()
worker.start()
activity_records = UserActivity.objects.filter(
user_profile=user.id,
client=get_client("ios"),
)
self.assert_length(activity_records, 1)
self.assertEqual(activity_records[0].count, 3)
def test_missed_message_worker(self) -> None:
cordelia = self.example_user("cordelia")
hamlet = self.example_user("hamlet")
othello = self.example_user("othello")
hamlet1_msg_id = self.send_personal_message(
from_user=cordelia,
to_user=hamlet,
content="hi hamlet",
)
hamlet2_msg_id = self.send_personal_message(
from_user=cordelia,
to_user=hamlet,
content="goodbye hamlet",
)
hamlet3_msg_id = self.send_personal_message(
from_user=cordelia,
to_user=hamlet,
content="hello again hamlet",
)
othello_msg_id = self.send_personal_message(
from_user=cordelia,
to_user=othello,
content="where art thou, othello?",
)
events = [
dict(user_profile_id=hamlet.id, message_id=hamlet1_msg_id),
dict(user_profile_id=hamlet.id, message_id=hamlet2_msg_id),
dict(user_profile_id=othello.id, message_id=othello_msg_id),
]
fake_client = self.FakeClient()
for event in events:
fake_client.enqueue("missedmessage_emails", event)
mmw = MissedMessageWorker()
class MockTimer:
is_running = False
def is_alive(self) -> bool:
return self.is_running
def start(self) -> None:
self.is_running = True
timer = MockTimer()
timer_mock = patch(
"zerver.worker.queue_processors.Timer",
return_value=timer,
)
send_mock = patch(
"zerver.lib.email_notifications.do_send_missedmessage_events_reply_in_zulip",
)
mmw.BATCH_DURATION = 0
bonus_event = dict(user_profile_id=hamlet.id, message_id=hamlet3_msg_id)
with send_mock as sm, timer_mock as tm:
with simulated_queue_client(lambda: fake_client):
self.assertFalse(timer.is_alive())
mmw.setup()
mmw.start()
self.assertTrue(timer.is_alive())
fake_client.enqueue("missedmessage_emails", bonus_event)
# Double-calling start is our way to get it to run again
self.assertTrue(timer.is_alive())
mmw.start()
with self.assertLogs(level="INFO") as info_logs:
# Now, we actually send the emails.
mmw.maybe_send_batched_emails()
self.assertEqual(
info_logs.output,
[
"INFO:root:Batch-processing 3 missedmessage_emails events for user 10",
"INFO:root:Batch-processing 1 missedmessage_emails events for user 12",
],
)
queue: Use locking to avoid race conditions in missedmessage_emails. This queue had a race condition with creation of another Timer while maybe_send_batched_emails is still doing its work, which may cause two or more threads to be running maybe_send_batched_emails at the same time, mutating the shared data simultaneously. Another less likely potential race condition was that maybe_send_batched_emails after sending out its email, can call ensure_timer(). If the consume function is run simultaneously in the main thread, it will call ensure_timer() too, which, given unfortunate timings, might lead to both calls setting a new Timer. We add locking to the queue to avoid such race conditions. Tested manually, by print debugging with the following setup: 1. Making handle_missedmessage_emails sleep 2 seconds for each email, and changed BATCH_DURATION to 1s to make the queue start working right after launching. 2. Putting a bunch of events in the queue. 3. ./manage.py process_queue --queue_name missedmessage_emails 4. Once maybe_send_batched_emails is called and while it's processing the events, I pushed more events to the queue. That triggers the consume() function and ensure_timer(). Before implementing the locking mechanism, this causes two threads to run maybe_send_batched_emails at the same time, mutating each other's shared data, causing a traceback such as Exception in thread Thread-3: Traceback (most recent call last): File "/usr/lib/python3.6/threading.py", line 916, in _bootstrap_inner self.run() File "/usr/lib/python3.6/threading.py", line 1182, in run self.function(*self.args, **self.kwargs) File "/srv/zulip/zerver/worker/queue_processors.py", line 507, in maybe_send_batched_emails del self.events_by_recipient[user_profile_id] KeyError: '5' With the locking mechanism, things get handled as expected, and ensure_timer() exits if it can't obtain the lock due to maybe_send_batched_emails still working. Co-authored-by: Tim Abbott <tabbott@zulip.com>
2020-08-26 21:40:59 +02:00
self.assertEqual(mmw.timer_event, None)
self.assertEqual(tm.call_args[0][0], 5) # should sleep 5 seconds
args = [c[0] for c in sm.call_args_list]
arg_dict = {
arg[0].id: dict(
missed_messages=arg[1],
count=arg[2],
)
for arg in args
}
hamlet_info = arg_dict[hamlet.id]
self.assertEqual(hamlet_info["count"], 3)
self.assertEqual(
{m["message"].content for m in hamlet_info["missed_messages"]},
{"hi hamlet", "goodbye hamlet", "hello again hamlet"},
)
othello_info = arg_dict[othello.id]
self.assertEqual(othello_info["count"], 1)
self.assertEqual(
{m["message"].content for m in othello_info["missed_messages"]},
{"where art thou, othello?"},
)
def test_push_notifications_worker(self) -> None:
"""
The push notifications system has its own comprehensive test suite,
so we can limit ourselves to simple unit testing the queue processor,
without going deeper into the system - by mocking the handle_push_notification
functions to immediately produce the effect we want, to test its handling by the queue
processor.
"""
fake_client = self.FakeClient()
def fake_publish(
queue_name: str, event: Dict[str, Any], processor: Callable[[Any], None]
) -> None:
fake_client.enqueue(queue_name, event)
def generate_new_message_notification() -> Dict[str, Any]:
return build_offline_notification(1, 1)
def generate_remove_notification() -> Dict[str, Any]:
return {
"type": "remove",
"user_profile_id": 1,
"message_ids": [1],
}
with simulated_queue_client(lambda: fake_client):
worker = queue_processors.PushNotificationsWorker()
worker.setup()
with patch(
"zerver.worker.queue_processors.handle_push_notification"
) as mock_handle_new, patch(
"zerver.worker.queue_processors.handle_remove_push_notification"
) as mock_handle_remove, patch(
"zerver.worker.queue_processors.initialize_push_notifications"
):
event_new = generate_new_message_notification()
event_remove = generate_remove_notification()
fake_client.enqueue("missedmessage_mobile_notifications", event_new)
fake_client.enqueue("missedmessage_mobile_notifications", event_remove)
worker.start()
mock_handle_new.assert_called_once_with(event_new["user_profile_id"], event_new)
mock_handle_remove.assert_called_once_with(
event_remove["user_profile_id"], event_remove["message_ids"]
)
with patch(
"zerver.worker.queue_processors.handle_push_notification",
side_effect=PushNotificationBouncerRetryLaterError("test"),
) as mock_handle_new, patch(
"zerver.worker.queue_processors.handle_remove_push_notification",
side_effect=PushNotificationBouncerRetryLaterError("test"),
) as mock_handle_remove, patch(
"zerver.worker.queue_processors.initialize_push_notifications"
):
event_new = generate_new_message_notification()
event_remove = generate_remove_notification()
fake_client.enqueue("missedmessage_mobile_notifications", event_new)
fake_client.enqueue("missedmessage_mobile_notifications", event_remove)
with mock_queue_publish(
"zerver.lib.queue.queue_json_publish", side_effect=fake_publish
), self.assertLogs("zerver.worker.queue_processors", "WARNING") as warn_logs:
worker.start()
self.assertEqual(mock_handle_new.call_count, 1 + MAX_REQUEST_RETRIES)
self.assertEqual(mock_handle_remove.call_count, 1 + MAX_REQUEST_RETRIES)
self.assertEqual(
warn_logs.output,
[
"WARNING:zerver.worker.queue_processors:Maximum retries exceeded for trigger:1 event:push_notification",
]
* 2,
)
@patch("zerver.worker.queue_processors.mirror_email")
def test_mirror_worker(self, mock_mirror_email: MagicMock) -> None:
fake_client = self.FakeClient()
stream = get_stream("Denmark", get_realm("zulip"))
stream_to_address = encode_email_address(stream)
data = [
dict(
msg_base64=base64.b64encode(b"\xf3test").decode(),
time=time.time(),
rcpt_to=stream_to_address,
),
] * 3
for element in data:
fake_client.enqueue("email_mirror", element)
with simulated_queue_client(lambda: fake_client):
worker = queue_processors.MirrorWorker()
worker.setup()
worker.start()
self.assertEqual(mock_mirror_email.call_count, 3)
@patch("zerver.worker.queue_processors.mirror_email")
@override_settings(RATE_LIMITING_MIRROR_REALM_RULES=[(10, 2)])
def test_mirror_worker_rate_limiting(self, mock_mirror_email: MagicMock) -> None:
fake_client = self.FakeClient()
realm = get_realm("zulip")
RateLimitedRealmMirror(realm).clear_history()
stream = get_stream("Denmark", realm)
stream_to_address = encode_email_address(stream)
data = [
dict(
msg_base64=base64.b64encode(b"\xf3test").decode(),
time=time.time(),
rcpt_to=stream_to_address,
),
] * 5
for element in data:
fake_client.enqueue("email_mirror", element)
with simulated_queue_client(lambda: fake_client), self.assertLogs(
"zerver.worker.queue_processors", level="WARNING"
) as warn_logs:
start_time = time.time()
with patch("time.time", return_value=start_time):
worker = queue_processors.MirrorWorker()
worker.setup()
worker.start()
# Of the first 5 messages, only 2 should be processed
# (the rest being rate-limited):
self.assertEqual(mock_mirror_email.call_count, 2)
# If a new message is sent into the stream mirror, it will get rejected:
fake_client.enqueue("email_mirror", data[0])
worker.start()
self.assertEqual(mock_mirror_email.call_count, 2)
# However, message notification emails don't get rate limited:
with self.settings(EMAIL_GATEWAY_PATTERN="%s@example.com"):
address = "mm" + ("x" * 32) + "@example.com"
event = dict(
msg_base64=base64.b64encode(b"\xf3test").decode(),
time=time.time(),
rcpt_to=address,
)
fake_client.enqueue("email_mirror", event)
worker.start()
self.assertEqual(mock_mirror_email.call_count, 3)
# After some times passes, emails get accepted again:
with patch("time.time", return_value=(start_time + 11.0)):
fake_client.enqueue("email_mirror", data[0])
worker.start()
self.assertEqual(mock_mirror_email.call_count, 4)
# If RateLimiterLockingException is thrown, we rate-limit the new message:
with patch(
"zerver.lib.rate_limiter.RedisRateLimiterBackend.incr_ratelimit",
side_effect=RateLimiterLockingException,
):
with self.assertLogs("zerver.lib.rate_limiter", "WARNING") as mock_warn:
fake_client.enqueue("email_mirror", data[0])
worker.start()
self.assertEqual(mock_mirror_email.call_count, 4)
self.assertEqual(
mock_warn.output,
[
"WARNING:zerver.lib.rate_limiter:Deadlock trying to incr_ratelimit for RateLimitedRealmMirror:zulip"
],
)
self.assertEqual(
warn_logs.output,
[
"WARNING:zerver.worker.queue_processors:MirrorWorker: Rejecting an email from: None to realm: Zulip Dev - rate limited."
]
* 5,
)
def test_email_sending_worker_retries(self) -> None:
"""Tests the retry_send_email_failures decorator to make sure it
retries sending the email 3 times and then gives up."""
fake_client = self.FakeClient()
data = {
"template_prefix": "zerver/emails/confirm_new_email",
"to_emails": [self.example_email("hamlet")],
"from_name": "Zulip Account Security",
"from_address": FromAddress.NOREPLY,
"context": {},
}
fake_client.enqueue("email_senders", data)
def fake_publish(
queue_name: str, event: Dict[str, Any], processor: Optional[Callable[[Any], None]]
) -> None:
fake_client.enqueue(queue_name, event)
with simulated_queue_client(lambda: fake_client):
worker = queue_processors.EmailSendingWorker()
worker.setup()
with patch(
"zerver.lib.send_email.build_email", side_effect=EmailNotDeliveredException
), mock_queue_publish(
"zerver.lib.queue.queue_json_publish", side_effect=fake_publish
), self.assertLogs(
level="ERROR"
) as m:
worker.start()
self.assertIn("failed due to exception EmailNotDeliveredException", m.output[0])
self.assertEqual(data["failed_tries"], 1 + MAX_REQUEST_RETRIES)
def test_invites_worker(self) -> None:
fake_client = self.FakeClient()
inviter = self.example_user("iago")
prereg_alice = PreregistrationUser.objects.create(
email=self.nonreg_email("alice"), referred_by=inviter, realm=inviter.realm
)
PreregistrationUser.objects.create(
email=self.nonreg_email("bob"), referred_by=inviter, realm=inviter.realm
)
data: List[Dict[str, Any]] = [
dict(prereg_id=prereg_alice.id, referrer_id=inviter.id, email_body=None),
# Nonexistent prereg_id, as if the invitation was deleted
dict(prereg_id=-1, referrer_id=inviter.id, email_body=None),
]
for element in data:
fake_client.enqueue("invites", element)
with simulated_queue_client(lambda: fake_client):
worker = queue_processors.ConfirmationEmailWorker()
worker.setup()
with patch("zerver.lib.actions.send_email"), patch(
"zerver.worker.queue_processors.send_future_email"
) as send_mock:
worker.start()
self.assertEqual(send_mock.call_count, 1)
def test_error_handling(self) -> None:
processed = []
@queue_processors.assign_queue("unreliable_worker", is_test_queue=True)
class UnreliableWorker(queue_processors.QueueProcessingWorker):
def consume(self, data: Mapping[str, Any]) -> None:
if data["type"] == "unexpected behaviour":
raise Exception("Worker task not performing as expected!")
processed.append(data["type"])
fake_client = self.FakeClient()
for msg in ["good", "fine", "unexpected behaviour", "back to normal"]:
fake_client.enqueue("unreliable_worker", {"type": msg})
fn = os.path.join(settings.QUEUE_ERROR_DIR, "unreliable_worker.errors")
try:
os.remove(fn)
except OSError: # nocoverage # error handling for the directory not existing
pass
with simulated_queue_client(lambda: fake_client):
worker = UnreliableWorker()
worker.setup()
with self.assertLogs(level="ERROR") as m:
worker.start()
self.assertEqual(
m.records[0].message, "Problem handling data on queue unreliable_worker"
)
self.assertIn(m.records[0].stack_info, m.output[0])
self.assertEqual(processed, ["good", "fine", "back to normal"])
with open(fn) as f:
line = f.readline().strip()
events = orjson.loads(line.split("\t")[1])
self.assert_length(events, 1)
event = events[0]
self.assertEqual(event["type"], "unexpected behaviour")
processed = []
@queue_processors.assign_queue("unreliable_loopworker", is_test_queue=True)
class UnreliableLoopWorker(queue_processors.LoopQueueProcessingWorker):
def consume_batch(self, events: List[Dict[str, Any]]) -> None:
for event in events:
if event["type"] == "unexpected behaviour":
raise Exception("Worker task not performing as expected!")
processed.append(event["type"])
for msg in ["good", "fine", "unexpected behaviour", "back to normal"]:
fake_client.enqueue("unreliable_loopworker", {"type": msg})
fn = os.path.join(settings.QUEUE_ERROR_DIR, "unreliable_loopworker.errors")
try:
os.remove(fn)
except OSError: # nocoverage # error handling for the directory not existing
pass
with simulated_queue_client(lambda: fake_client):
loopworker = UnreliableLoopWorker()
loopworker.setup()
with self.assertLogs(level="ERROR") as m:
loopworker.start()
self.assertEqual(
m.records[0].message, "Problem handling data on queue unreliable_loopworker"
)
self.assertIn(m.records[0].stack_info, m.output[0])
self.assertEqual(processed, ["good", "fine"])
with open(fn) as f:
line = f.readline().strip()
events = orjson.loads(line.split("\t")[1])
self.assert_length(events, 4)
self.assertEqual(
[event["type"] for event in events],
["good", "fine", "unexpected behaviour", "back to normal"],
)
def test_timeouts(self) -> None:
processed = []
@queue_processors.assign_queue("timeout_worker", is_test_queue=True)
class TimeoutWorker(queue_processors.QueueProcessingWorker):
MAX_CONSUME_SECONDS = 1
def consume(self, data: Mapping[str, Any]) -> None:
if data["type"] == "timeout":
time.sleep(5)
processed.append(data["type"])
fake_client = self.FakeClient()
for msg in ["good", "fine", "timeout", "back to normal"]:
fake_client.enqueue("timeout_worker", {"type": msg})
fn = os.path.join(settings.QUEUE_ERROR_DIR, "timeout_worker.errors")
try:
os.remove(fn)
except OSError: # nocoverage # error handling for the directory not existing
pass
with simulated_queue_client(lambda: fake_client):
worker = TimeoutWorker()
worker.setup()
worker.ENABLE_TIMEOUTS = True
with self.assertLogs(level="ERROR") as m:
worker.start()
self.assertEqual(
m.records[0].message,
"Timed out after 1 seconds processing 1 events in queue timeout_worker",
)
self.assertIn(m.records[0].stack_info, m.output[0])
self.assertEqual(processed, ["good", "fine", "back to normal"])
with open(fn) as f:
line = f.readline().strip()
events = orjson.loads(line.split("\t")[1])
self.assert_length(events, 1)
event = events[0]
self.assertEqual(event["type"], "timeout")
def test_worker_noname(self) -> None:
class TestWorker(queue_processors.QueueProcessingWorker):
def __init__(self) -> None:
super().__init__()
def consume(self, data: Mapping[str, Any]) -> None:
pass # nocoverage # this is intentionally not called
with self.assertRaises(queue_processors.WorkerDeclarationException):
TestWorker()
def test_get_active_worker_queues(self) -> None:
test_queue_names = set(get_active_worker_queues(only_test_queues=True))
# Actually 6, but test_timeouts, which defines TimeoutWorker,
# is called after this
self.assertEqual(5, len(test_queue_names))
# This misses that TestWorker, defined in test_worker_noname
# with no assign_queue, because it runs after this
worker_queue_names = {
queue_class.queue_name
for base in [QueueProcessingWorker, EmailSendingWorker, LoopQueueProcessingWorker]
for queue_class in base.__subclasses__()
if not isabstract(queue_class)
}
self.assertEqual(set(get_active_worker_queues()), worker_queue_names - test_queue_names)