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