mirror of
https://github.com/zulip/zulip.git
synced 2025-11-04 05:53:43 +00:00
88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
# Documented in https://zulip.readthedocs.io/en/latest/subsystems/queuing.html
|
|
import logging
|
|
import time
|
|
from collections.abc import Mapping, Sequence
|
|
from typing import Any
|
|
|
|
import orjson
|
|
from django.conf import settings
|
|
from typing_extensions import override
|
|
|
|
from zerver.worker.base import LoopQueueProcessingWorker, QueueProcessingWorker, assign_queue
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
@assign_queue("test", is_test_queue=True)
|
|
class TestWorker(QueueProcessingWorker):
|
|
# This worker allows you to test the queue worker infrastructure without
|
|
# creating significant side effects. It can be useful in development or
|
|
# for troubleshooting prod/staging. It pulls a message off the test queue
|
|
# and appends it to a file in /var/log/zulip.
|
|
@override
|
|
def consume(self, event: Mapping[str, Any]) -> None: # nocoverage
|
|
fn = settings.ZULIP_WORKER_TEST_FILE
|
|
message = orjson.dumps(event)
|
|
logging.info("TestWorker should append this message to %s: %s", fn, message.decode())
|
|
with open(fn, "ab") as f:
|
|
f.write(message + b"\n")
|
|
|
|
|
|
@assign_queue("noop", is_test_queue=True)
|
|
class NoopWorker(QueueProcessingWorker):
|
|
"""Used to profile the queue processing framework, in zilencer's queue_rate."""
|
|
|
|
def __init__(
|
|
self,
|
|
threaded: bool = False,
|
|
disable_timeout: bool = False,
|
|
worker_num: int | None = None,
|
|
max_consume: int = 1000,
|
|
slow_queries: Sequence[int] = [],
|
|
) -> None:
|
|
super().__init__(threaded, disable_timeout, worker_num)
|
|
self.consumed = 0
|
|
self.max_consume = max_consume
|
|
self.slow_queries: set[int] = set(slow_queries)
|
|
|
|
@override
|
|
def consume(self, event: Mapping[str, Any]) -> None:
|
|
self.consumed += 1
|
|
if self.consumed in self.slow_queries:
|
|
logging.info("Slow request...")
|
|
time.sleep(60)
|
|
logging.info("Done!")
|
|
if self.consumed >= self.max_consume:
|
|
self.stop()
|
|
|
|
|
|
@assign_queue("noop_batch", is_test_queue=True)
|
|
class BatchNoopWorker(LoopQueueProcessingWorker):
|
|
"""Used to profile the queue processing framework, in zilencer's queue_rate."""
|
|
|
|
batch_size = 100
|
|
|
|
def __init__(
|
|
self,
|
|
threaded: bool = False,
|
|
disable_timeout: bool = False,
|
|
max_consume: int = 1000,
|
|
slow_queries: Sequence[int] = [],
|
|
) -> None:
|
|
super().__init__(threaded, disable_timeout)
|
|
self.consumed = 0
|
|
self.max_consume = max_consume
|
|
self.slow_queries: set[int] = set(slow_queries)
|
|
|
|
@override
|
|
def consume_batch(self, events: list[dict[str, Any]]) -> None:
|
|
event_numbers = set(range(self.consumed + 1, self.consumed + 1 + len(events)))
|
|
found_slow = self.slow_queries & event_numbers
|
|
if found_slow:
|
|
logging.info("%d slow requests...", len(found_slow))
|
|
time.sleep(60 * len(found_slow))
|
|
logging.info("Done!")
|
|
self.consumed += len(events)
|
|
if self.consumed >= self.max_consume:
|
|
self.stop()
|