feat \#16 - add unittest for backpressure_handler and logging_utils
Unit test coverage / pytest (push) Failing after 3h11m10s

This commit is contained in:
Stanislav Hejny
2025-05-09 22:15:11 +01:00
parent 5684deb65e
commit bc98351493
10 changed files with 844 additions and 83 deletions
+112 -82
View File
@@ -48,8 +48,15 @@ class ScaleRequestV1:
class RunningAverage:
def __init__(self, num_items):
self.buffer = [0] * num_items # Fixed-size array
"""
A class to maintain a running average of the last N values.
The intended use is to track CPU usage over time window, that is directly related to sample rate and window size.
This is the reason why the constructor takes the number of items to store, calculated as window size / sample rate
Initial_value is for unit test to emulate OVERLOAD or IDLE condition.
"""
def __init__(self, num_items, initial_value=0):
self.buffer = [initial_value] * num_items # Fixed-size array
self.pointer = 0 # Current position in array
self.num_items = num_items # Maximum number of items to store
self.is_filled = False # Track if buffer is fully filled
@@ -89,6 +96,8 @@ class BackpressureHandler:
# helps prevent flooding the system with backpressure events
last_backpressure_event_time = 0
last_backpressure_event = ScalingRequestAlert.UPDATE
# _callback_list is used in unit tests to record the invoked callbacks
_callback_list = None
def __init__(
self,
@@ -105,6 +114,18 @@ class BackpressureHandler:
self.swarm_task_id = self.config.amq_adapter.swarm_task_id
self.parallel_workers = self.config.backpressure.threshold_threads
self.average_cpu_usage = None
self.do_loop = -1
def _do_loop(self) -> bool:
"""
Check if the loop should continue running.
Positive value of do_loop indicates the number of iterations left.
Negative value indicates the loop should run indefinitely.
"""
_val = self.do_loop != 0
if self.do_loop > 0:
self.do_loop -= 1
return _val
def increase_parallel_executions(self):
"""Increase the number of parallel executions"""
@@ -154,93 +175,96 @@ class BackpressureHandler:
self.last_backpressure_event_time = time.time()
self.last_backpressure_event = ScalingRequestAlert.OVERLOAD
def backpressure_monitor_loop(self):
async def _backpressure_monitor(self):
"""Monitor the backpressure conditions and trigger events accordingly"""
_time_window_millis = self.config.backpressure.time_window
_idle_duration_millis = self.config.backpressure.idle_duration
_overload_duration_millis = self.config.backpressure.idle_duration
_loop = asyncio.new_event_loop()
_monitor_interval = 0.2 # Monitor every 200ms
_overload_duration_millis = self.config.backpressure.cpu_overload_duration
_monitor_interval = 0.5 # Monitor every 500ms
CPU_IDLE, CPU_ACTIVE, CPU_OVERLOAD = 0, 1, 2
IDLE_THRESHOLD, OVERLOAD_THRESHOLD = 15, 90
self.average_cpu_usage = RunningAverage(
int(max(_overload_duration_millis, _idle_duration_millis) // _monitor_interval)
)
if self.average_cpu_usage is None:
self.average_cpu_usage = RunningAverage(
int(
max(_overload_duration_millis, _idle_duration_millis)
// _monitor_interval
)
)
_cpu_usage_state = CPU_ACTIVE
_cpu_usage_changed = time.time()
while self._do_loop():
_current_cpu_usage = psutil.cpu_percent(interval=None)
self.average_cpu_usage.add(_current_cpu_usage)
_average_cpu_usage = self.average_cpu_usage.get_average()
_now = time.time()
# logging_info(
# "Backpressure: current CPU[pct]=%s, avg=%s, state=%s, last dataMsg=%s, last event=%s, last eventTime=%s",
# _current_cpu_usage,
# _average_cpu_usage,
# _cpu_usage_state,
# self.last_data_message_time,
# self.last_backpressure_event,
# self.last_backpressure_event_time,
# )
if _average_cpu_usage < IDLE_THRESHOLD:
if _cpu_usage_state != CPU_IDLE:
_cpu_usage_changed = _now
_cpu_usage_state = CPU_IDLE
elif _average_cpu_usage > OVERLOAD_THRESHOLD:
if _cpu_usage_state != CPU_OVERLOAD:
_cpu_usage_changed = _now
_cpu_usage_state = CPU_OVERLOAD
else:
if _cpu_usage_state != CPU_ACTIVE:
_cpu_usage_changed = _now
_cpu_usage_state = CPU_ACTIVE
async def _backpressure_monitor():
"""Monitor the backpressure conditions and trigger events accordingly"""
_cpu_usage_state = CPU_ACTIVE
_cpu_usage_changed = time.time()
while True:
_current_cpu_usage = psutil.cpu_percent(interval=None)
self.average_cpu_usage.add(_current_cpu_usage)
_average_cpu_usage = self.average_cpu_usage.get_average()
_now = time.time()
# logging_info(
# "Backpressure: current CPU[pct]=%s, avg=%s, state=%s, last dataMsg=%s, last event=%s, last eventTime=%s",
# _current_cpu_usage,
# _average_cpu_usage,
# _cpu_usage_state,
# self.last_data_message_time,
# self.last_backpressure_event,
# self.last_backpressure_event_time,
# )
if _average_cpu_usage < IDLE_THRESHOLD:
if _cpu_usage_state != CPU_IDLE:
_cpu_usage_changed = _now
_cpu_usage_state = CPU_IDLE
elif _average_cpu_usage > OVERLOAD_THRESHOLD:
if _cpu_usage_state != CPU_OVERLOAD:
_cpu_usage_changed = _now
_cpu_usage_state = CPU_OVERLOAD
else:
if _cpu_usage_state != CPU_ACTIVE:
_cpu_usage_changed = _now
_cpu_usage_state = CPU_ACTIVE
# Check if the current time exceeds the last backpressure event time
if (
_cpu_usage_state == CPU_OVERLOAD
and _now - _cpu_usage_changed > _overload_duration_millis
and (
_now - self.last_backpressure_event_time > _time_window_millis
or self.last_backpressure_event != ScalingRequestAlert.OVERLOAD
# Check if the current time exceeds the last backpressure event time
if (
_cpu_usage_state == CPU_OVERLOAD
and _now - _cpu_usage_changed > _overload_duration_millis
and (
_now - self.last_backpressure_event_time > _time_window_millis
or self.last_backpressure_event != ScalingRequestAlert.OVERLOAD
)
):
# Trigger the overload event
await self.handle_backpressure_overload_event()
self.last_backpressure_event_time = _now
self.last_backpressure_event = ScalingRequestAlert.OVERLOAD
elif (
_cpu_usage_state == CPU_IDLE
and _now - _cpu_usage_changed > _idle_duration_millis
and _now - self.last_data_message_time > _idle_duration_millis
and (
_now - self.last_backpressure_event_time > _time_window_millis
or self.last_backpressure_event != ScalingRequestAlert.IDLE
)
):
# Trigger the idle event
await self._handle_backpressure_idle_event()
self.last_backpressure_event = ScalingRequestAlert.IDLE
self.last_backpressure_event_time = _now
else:
# Trigger update event
if _now - self.last_backpressure_event_time > _time_window_millis:
# Trigger the update event
_scaling_request: ScaleRequestV1 = ScaleRequestV1(
self.swarm_service_id,
self.swarm_task_id,
100,
_average_cpu_usage,
ScalingRequestAlert.UPDATE,
)
):
# Trigger the overload event
await self.handle_backpressure_overload_event()
# Address the message to any adapter capable of supporting BACKPRESSURE request
await self.publish_backpressure_request(_scaling_request)
self.last_backpressure_event_time = _now
self.last_backpressure_event = ScalingRequestAlert.OVERLOAD
elif (
_cpu_usage_state == CPU_IDLE
and _now - _cpu_usage_changed > _idle_duration_millis
and _now - self.last_data_message_time > _idle_duration_millis
and (
_now - self.last_backpressure_event_time > _time_window_millis
or self.last_backpressure_event != ScalingRequestAlert.IDLE
)
):
# Trigger the idle event
await self._handle_backpressure_idle_event()
self.last_backpressure_event = ScalingRequestAlert.IDLE
self.last_backpressure_event_time = _now
else:
# Trigger update event
if _now - self.last_backpressure_event_time > _time_window_millis:
# Trigger the update event
_scaling_request: ScaleRequestV1 = ScaleRequestV1(
self.swarm_service_id,
self.swarm_task_id,
100,
_average_cpu_usage,
ScalingRequestAlert.UPDATE,
)
# Address the message to any adapter capable of supporting BACKPRESSURE request
await self.publish_backpressure_request(_scaling_request)
self.last_backpressure_event_time = _now
self.last_backpressure_event = ScalingRequestAlert.UPDATE
await asyncio.sleep(_monitor_interval)
self.last_backpressure_event = ScalingRequestAlert.UPDATE
await asyncio.sleep(_monitor_interval)
_loop.run_until_complete(_backpressure_monitor())
def backpressure_monitor_loop(self):
_loop = asyncio.new_event_loop()
_loop.run_until_complete(self._backpressure_monitor())
async def handle_backpressure_overload_event(self):
logging_warning("Backpressure: Capacity close to depleted!")
@@ -283,6 +307,8 @@ class BackpressureHandler:
_exchange = await channel.get_exchange(name="cleverthis.clevermicro.management")
return _exchange
if BackpressureHandler._callback_list is not None:
BackpressureHandler._callback_list["_wrap_rabbit_mq_api_init"] = 1
self.exchange = await await_result(
asyncio.run_coroutine_threadsafe(_wrap_rabbit_mq_api_init(self.channel), self.loop)
)
@@ -312,4 +338,8 @@ class BackpressureHandler:
return True
return False
await await_future(asyncio.run_coroutine_threadsafe(_wrap_rabbit_mq_api(), self.loop))
if BackpressureHandler._callback_list is not None:
BackpressureHandler._callback_list["_wrap_rabbit_mq_api"] = 1
await await_future(
asyncio.run_coroutine_threadsafe(_wrap_rabbit_mq_api(), self.loop)
)
+1 -1
View File
@@ -120,7 +120,7 @@ def logging_debug(msg: str, *args) -> None:
_thread_id = threading.get_ident()
module, line_number, function_name = get_context_info()
if module and line_number and function_name:
logging.info(
logging.debug(
f"{_thread_id}:{__version__} [DBG] '{msg}' ---> '{module}':{line_number}, '{function_name}()'",
*args,
)