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import asyncio
import collections
import contextlib
import os
from logging import getLogger
from defence360agent.api import inactivity
from defence360agent.contracts.messages import MessageType, Splittable
from defence360agent.contracts.plugins import (
MessageSink,
MessageSource,
expect,
)
from defence360agent.utils import recurring_check
logger = getLogger(__name__)
class Accumulate(MessageSink, MessageSource):
PROCESSING_ORDER = MessageSink.ProcessingOrder.POST_PROCESS_MESSAGE
DEFAULT_AGGREGATE_TIMEOUT = int(
os.environ.get("IMUNIFY360_AGGREGATE_MESSAGES_TIMEOUT", 60)
)
SHUTDOWN_SEND_TIMEOUT = int(
os.environ.get("IMUNIFY360_AGGREGATE_SHUTDOWN_SEND_TIMEOUT", 50)
)
def __init__(
self,
period=DEFAULT_AGGREGATE_TIMEOUT,
shutdown_timeout=SHUTDOWN_SEND_TIMEOUT,
**kwargs,
):
super().__init__(**kwargs)
self._period = period
self._shutdown_timeout = shutdown_timeout
self._data = collections.defaultdict(list)
async def create_source(self, loop, sink):
self._loop = loop
self._sink = sink
self._task = (
None
if self._period == 0
else loop.create_task(recurring_check(self._period)(self._flush)())
)
async def create_sink(self, loop):
self._loop = loop
async def shutdown(self):
try:
await asyncio.wait_for(self.stop(), self._shutdown_timeout)
except asyncio.TimeoutError:
# Used logger.error to notify sentry
logger.error(
"Timeout (%ss) sending messages to server on shutdown.",
self._shutdown_timeout,
)
if self._task is not None:
self._task.cancel()
with contextlib.suppress(asyncio.CancelledError):
await self._task
async def stop(self):
logger.info("Accumulate.stop cancel _task")
if self._task is not None:
self._task.cancel()
with contextlib.suppress(asyncio.CancelledError):
await self._task
logger.info("Accumulate.stop wait lock")
# send pending messages
await self._flush()
@expect(MessageType.Accumulatable)
async def collect(self, message):
list_types = (
message.LIST_CLASS
if isinstance(message.LIST_CLASS, tuple)
else (message.LIST_CLASS,)
)
if message.do_accumulate():
with inactivity.track.task("accumulate"):
for list_type in list_types:
self._data[list_type].append(message)
async def _flush(self):
copy_data = self._data
self._data = collections.defaultdict(list)
for list_type, messages in copy_data.items():
batched = (
list_type.batched(messages)
if issubclass(list_type, Splittable)
else (messages,)
)
for batch in batched:
logger.info(
f"Prepare {list_type.__name__}(<items={len(batch)}>) "
"for further processing"
)
try:
# FIXME: remove this try..except block after
# we have forbidden to create Accumulatable class
# without LIST_CLASS.
await self._sink.process_message(list_type(items=batch))
except TypeError:
logger.error("%s, %s", list_type, batch)
raise
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