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The-Ouroboros/tests/test_latency_control.py
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feat: implement latency control system with criticality-based prioritization
Add urgency-based response system to react faster in critical market situations.

Components:
- CriticalityAssessor: Evaluates market conditions (P&L, volatility, volume surge)
  and assigns urgency levels (CRITICAL <5s, HIGH <30s, NORMAL <60s, LOW batch)
- PriorityTaskQueue: Thread-safe priority queue with timeout enforcement,
  metrics tracking, and graceful degradation when full
- Integration with main.py: Assess criticality at trading cycle start,
  monitor latency per criticality level, log queue metrics

Auto-elevate to CRITICAL when:
- P&L < -2.5% (near circuit breaker at -3.0%)
- Stock moves >5% in 1 minute
- Volume surge >10x average

Integration with Volatility Hunter:
- Uses VolatilityAnalyzer.calculate_momentum() for assessment
- Pulls volatility scores from Context Tree L7_REALTIME
- Auto-detects market conditions for criticality

Tests:
- 30 comprehensive tests covering criticality assessment, priority queue,
  timeout enforcement, metrics tracking, and integration scenarios
- Coverage: criticality.py 100%, priority_queue.py 96%
- All 157 tests pass

Resolves issue #21 - Pillar 1: 속도와 시의성의 최적화

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 16:45:16 +09:00

559 lines
19 KiB
Python

"""Tests for latency control system (criticality assessment and priority queue)."""
from __future__ import annotations
import asyncio
import pytest
from src.core.criticality import CriticalityAssessor, CriticalityLevel
from src.core.priority_queue import PriorityTask, PriorityTaskQueue
# ---------------------------------------------------------------------------
# CriticalityAssessor Tests
# ---------------------------------------------------------------------------
class TestCriticalityAssessor:
"""Test suite for criticality assessment logic."""
def test_market_closed_returns_low(self) -> None:
"""Market closed should return LOW priority."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=50.0,
volume_surge=1.0,
is_market_open=False,
)
assert level == CriticalityLevel.LOW
def test_very_low_volatility_returns_low(self) -> None:
"""Very low volatility should return LOW priority."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=20.0, # Below 30.0 threshold
volume_surge=1.0,
is_market_open=True,
)
assert level == CriticalityLevel.LOW
def test_critical_pnl_threshold_triggered(self) -> None:
"""P&L below -2.5% should trigger CRITICAL."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=-2.6, # Below -2.5% threshold
volatility_score=50.0,
volume_surge=1.0,
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
def test_critical_pnl_at_circuit_breaker_proximity(self) -> None:
"""P&L at exactly -2.5% (near -3.0% breaker) should be CRITICAL."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=-2.5,
volatility_score=50.0,
volume_surge=1.0,
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
def test_critical_price_change_positive(self) -> None:
"""Large positive price change (>5%) should trigger CRITICAL."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=50.0,
volume_surge=1.0,
price_change_1m=5.5, # Above 5.0% threshold
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
def test_critical_price_change_negative(self) -> None:
"""Large negative price change (<-5%) should trigger CRITICAL."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=50.0,
volume_surge=1.0,
price_change_1m=-6.0, # Below -5.0% threshold
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
def test_critical_volume_surge(self) -> None:
"""Extreme volume surge (>10x) should trigger CRITICAL."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=50.0,
volume_surge=12.0, # Above 10.0x threshold
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
def test_high_volatility_returns_high(self) -> None:
"""High volatility score should return HIGH priority."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=75.0, # Above 70.0 threshold
volume_surge=1.0,
is_market_open=True,
)
assert level == CriticalityLevel.HIGH
def test_normal_conditions_return_normal(self) -> None:
"""Normal market conditions should return NORMAL priority."""
assessor = CriticalityAssessor()
level = assessor.assess_market_conditions(
pnl_pct=0.5,
volatility_score=50.0, # Between 30-70
volume_surge=1.5,
price_change_1m=1.0,
is_market_open=True,
)
assert level == CriticalityLevel.NORMAL
def test_custom_thresholds(self) -> None:
"""Custom thresholds should be respected."""
assessor = CriticalityAssessor(
critical_pnl_threshold=-1.0,
critical_price_change_threshold=3.0,
critical_volume_surge_threshold=5.0,
high_volatility_threshold=60.0,
low_volatility_threshold=20.0,
)
# Test custom P&L threshold
level = assessor.assess_market_conditions(
pnl_pct=-1.1,
volatility_score=50.0,
volume_surge=1.0,
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
# Test custom price change threshold
level = assessor.assess_market_conditions(
pnl_pct=0.0,
volatility_score=50.0,
volume_surge=1.0,
price_change_1m=3.5,
is_market_open=True,
)
assert level == CriticalityLevel.CRITICAL
def test_get_timeout_returns_correct_values(self) -> None:
"""Timeout values should match specification."""
assessor = CriticalityAssessor()
assert assessor.get_timeout(CriticalityLevel.CRITICAL) == 5.0
assert assessor.get_timeout(CriticalityLevel.HIGH) == 30.0
assert assessor.get_timeout(CriticalityLevel.NORMAL) == 60.0
assert assessor.get_timeout(CriticalityLevel.LOW) is None
# ---------------------------------------------------------------------------
# PriorityTaskQueue Tests
# ---------------------------------------------------------------------------
class TestPriorityTaskQueue:
"""Test suite for priority queue implementation."""
@pytest.mark.asyncio
async def test_enqueue_task(self) -> None:
"""Tasks should be enqueued successfully."""
queue = PriorityTaskQueue()
success = await queue.enqueue(
task_id="test-1",
criticality=CriticalityLevel.NORMAL,
task_data={"action": "test"},
)
assert success is True
assert await queue.size() == 1
@pytest.mark.asyncio
async def test_enqueue_rejects_when_full(self) -> None:
"""Queue should reject tasks when full."""
queue = PriorityTaskQueue(max_size=2)
# Fill the queue
await queue.enqueue("task-1", CriticalityLevel.NORMAL, {})
await queue.enqueue("task-2", CriticalityLevel.NORMAL, {})
# Third task should be rejected
success = await queue.enqueue("task-3", CriticalityLevel.NORMAL, {})
assert success is False
assert await queue.size() == 2
@pytest.mark.asyncio
async def test_dequeue_returns_highest_priority(self) -> None:
"""Dequeue should return highest priority task first."""
queue = PriorityTaskQueue()
# Enqueue tasks in reverse priority order
await queue.enqueue("low", CriticalityLevel.LOW, {"priority": 3})
await queue.enqueue("normal", CriticalityLevel.NORMAL, {"priority": 2})
await queue.enqueue("high", CriticalityLevel.HIGH, {"priority": 1})
await queue.enqueue("critical", CriticalityLevel.CRITICAL, {"priority": 0})
# Dequeue should return CRITICAL first
task = await queue.dequeue(timeout=1.0)
assert task is not None
assert task.task_id == "critical"
assert task.priority == 0
# Then HIGH
task = await queue.dequeue(timeout=1.0)
assert task is not None
assert task.task_id == "high"
assert task.priority == 1
@pytest.mark.asyncio
async def test_dequeue_fifo_within_same_priority(self) -> None:
"""Tasks with same priority should be FIFO."""
queue = PriorityTaskQueue()
# Enqueue multiple tasks with same priority
await queue.enqueue("task-1", CriticalityLevel.NORMAL, {})
await asyncio.sleep(0.01) # Small delay to ensure different timestamps
await queue.enqueue("task-2", CriticalityLevel.NORMAL, {})
await asyncio.sleep(0.01)
await queue.enqueue("task-3", CriticalityLevel.NORMAL, {})
# Should dequeue in FIFO order
task1 = await queue.dequeue(timeout=1.0)
task2 = await queue.dequeue(timeout=1.0)
task3 = await queue.dequeue(timeout=1.0)
assert task1 is not None and task1.task_id == "task-1"
assert task2 is not None and task2.task_id == "task-2"
assert task3 is not None and task3.task_id == "task-3"
@pytest.mark.asyncio
async def test_dequeue_returns_none_when_empty(self) -> None:
"""Dequeue should return None when queue is empty after timeout."""
queue = PriorityTaskQueue()
task = await queue.dequeue(timeout=0.1)
assert task is None
@pytest.mark.asyncio
async def test_execute_with_timeout_success(self) -> None:
"""Task execution should succeed within timeout."""
queue = PriorityTaskQueue()
# Create a simple async callback
async def test_callback() -> str:
await asyncio.sleep(0.01)
return "success"
task = PriorityTask(
priority=0,
timestamp=0.0,
task_id="test",
task_data={},
callback=test_callback,
)
result = await queue.execute_with_timeout(task, timeout=1.0)
assert result == "success"
@pytest.mark.asyncio
async def test_execute_with_timeout_raises_timeout_error(self) -> None:
"""Task execution should raise TimeoutError if exceeds timeout."""
queue = PriorityTaskQueue()
# Create a slow async callback
async def slow_callback() -> str:
await asyncio.sleep(1.0)
return "too slow"
task = PriorityTask(
priority=0,
timestamp=0.0,
task_id="test",
task_data={},
callback=slow_callback,
)
with pytest.raises(asyncio.TimeoutError):
await queue.execute_with_timeout(task, timeout=0.1)
@pytest.mark.asyncio
async def test_execute_with_timeout_propagates_exceptions(self) -> None:
"""Task execution should propagate exceptions from callback."""
queue = PriorityTaskQueue()
# Create a failing async callback
async def failing_callback() -> None:
raise ValueError("Test error")
task = PriorityTask(
priority=0,
timestamp=0.0,
task_id="test",
task_data={},
callback=failing_callback,
)
with pytest.raises(ValueError, match="Test error"):
await queue.execute_with_timeout(task, timeout=1.0)
@pytest.mark.asyncio
async def test_execute_without_timeout(self) -> None:
"""Task execution should work without timeout (LOW priority)."""
queue = PriorityTaskQueue()
async def test_callback() -> str:
await asyncio.sleep(0.01)
return "success"
task = PriorityTask(
priority=3,
timestamp=0.0,
task_id="test",
task_data={},
callback=test_callback,
)
result = await queue.execute_with_timeout(task, timeout=None)
assert result == "success"
@pytest.mark.asyncio
async def test_get_metrics(self) -> None:
"""Queue should track metrics correctly."""
queue = PriorityTaskQueue()
# Enqueue and dequeue some tasks
await queue.enqueue("task-1", CriticalityLevel.CRITICAL, {})
await queue.enqueue("task-2", CriticalityLevel.HIGH, {})
await queue.enqueue("task-3", CriticalityLevel.NORMAL, {})
await queue.dequeue(timeout=1.0)
await queue.dequeue(timeout=1.0)
metrics = await queue.get_metrics()
assert metrics.total_enqueued == 3
assert metrics.total_dequeued == 2
assert metrics.current_size == 1
@pytest.mark.asyncio
async def test_wait_time_metrics(self) -> None:
"""Queue should track wait times per criticality level."""
queue = PriorityTaskQueue()
# Enqueue tasks with different criticality
await queue.enqueue("critical-1", CriticalityLevel.CRITICAL, {})
await asyncio.sleep(0.05) # Add some wait time
await queue.dequeue(timeout=1.0)
metrics = await queue.get_metrics()
# Should have wait time metrics for CRITICAL
assert CriticalityLevel.CRITICAL in metrics.avg_wait_time
assert metrics.avg_wait_time[CriticalityLevel.CRITICAL] > 0.0
@pytest.mark.asyncio
async def test_clear_queue(self) -> None:
"""Clear should remove all tasks from queue."""
queue = PriorityTaskQueue()
await queue.enqueue("task-1", CriticalityLevel.NORMAL, {})
await queue.enqueue("task-2", CriticalityLevel.NORMAL, {})
await queue.enqueue("task-3", CriticalityLevel.NORMAL, {})
cleared = await queue.clear()
assert cleared == 3
assert await queue.size() == 0
@pytest.mark.asyncio
async def test_concurrent_enqueue_dequeue(self) -> None:
"""Queue should handle concurrent operations safely."""
queue = PriorityTaskQueue()
# Concurrent enqueue operations
async def enqueue_tasks() -> None:
for i in range(10):
await queue.enqueue(
f"task-{i}",
CriticalityLevel.NORMAL,
{"index": i},
)
# Concurrent dequeue operations
async def dequeue_tasks() -> list[str]:
tasks = []
for _ in range(10):
task = await queue.dequeue(timeout=1.0)
if task:
tasks.append(task.task_id)
await asyncio.sleep(0.01)
return tasks
# Run both concurrently
enqueue_task = asyncio.create_task(enqueue_tasks())
dequeue_task = asyncio.create_task(dequeue_tasks())
await enqueue_task
dequeued_ids = await dequeue_task
# All tasks should be processed
assert len(dequeued_ids) == 10
@pytest.mark.asyncio
async def test_timeout_metric_tracking(self) -> None:
"""Queue should track timeout occurrences."""
queue = PriorityTaskQueue()
async def slow_callback() -> str:
await asyncio.sleep(1.0)
return "too slow"
task = PriorityTask(
priority=0,
timestamp=0.0,
task_id="test",
task_data={},
callback=slow_callback,
)
try:
await queue.execute_with_timeout(task, timeout=0.1)
except TimeoutError:
pass
metrics = await queue.get_metrics()
assert metrics.total_timeouts == 1
@pytest.mark.asyncio
async def test_error_metric_tracking(self) -> None:
"""Queue should track execution errors."""
queue = PriorityTaskQueue()
async def failing_callback() -> None:
raise ValueError("Test error")
task = PriorityTask(
priority=0,
timestamp=0.0,
task_id="test",
task_data={},
callback=failing_callback,
)
try:
await queue.execute_with_timeout(task, timeout=1.0)
except ValueError:
pass
metrics = await queue.get_metrics()
assert metrics.total_errors == 1
# ---------------------------------------------------------------------------
# Integration Tests
# ---------------------------------------------------------------------------
class TestLatencyControlIntegration:
"""Integration tests for criticality assessment and priority queue."""
@pytest.mark.asyncio
async def test_critical_task_bypass_queue(self) -> None:
"""CRITICAL tasks should bypass lower priority tasks."""
queue = PriorityTaskQueue()
# Add normal priority tasks
await queue.enqueue("normal-1", CriticalityLevel.NORMAL, {})
await queue.enqueue("normal-2", CriticalityLevel.NORMAL, {})
# Add critical task (should jump to front)
await queue.enqueue("critical", CriticalityLevel.CRITICAL, {})
# Dequeue should return critical first
task = await queue.dequeue(timeout=1.0)
assert task is not None
assert task.task_id == "critical"
@pytest.mark.asyncio
async def test_timeout_enforcement_by_criticality(self) -> None:
"""Timeout enforcement should match criticality level."""
assessor = CriticalityAssessor()
# CRITICAL should have 5s timeout
critical_timeout = assessor.get_timeout(CriticalityLevel.CRITICAL)
assert critical_timeout == 5.0
# HIGH should have 30s timeout
high_timeout = assessor.get_timeout(CriticalityLevel.HIGH)
assert high_timeout == 30.0
# NORMAL should have 60s timeout
normal_timeout = assessor.get_timeout(CriticalityLevel.NORMAL)
assert normal_timeout == 60.0
# LOW should have no timeout
low_timeout = assessor.get_timeout(CriticalityLevel.LOW)
assert low_timeout is None
@pytest.mark.asyncio
async def test_fast_path_execution_for_critical(self) -> None:
"""CRITICAL tasks should complete quickly."""
queue = PriorityTaskQueue()
# Create a fast callback simulating fast-path execution
async def fast_path_callback() -> str:
# Simulate simplified decision flow
await asyncio.sleep(0.01) # Very fast execution
return "fast_path_complete"
task = PriorityTask(
priority=0, # CRITICAL
timestamp=0.0,
task_id="critical-fast",
task_data={},
callback=fast_path_callback,
)
import time
start = time.time()
result = await queue.execute_with_timeout(task, timeout=5.0)
elapsed = time.time() - start
assert result == "fast_path_complete"
assert elapsed < 5.0 # Should complete well under CRITICAL timeout
@pytest.mark.asyncio
async def test_graceful_degradation_when_queue_full(self) -> None:
"""System should gracefully handle full queue."""
queue = PriorityTaskQueue(max_size=2)
# Fill the queue
await queue.enqueue("task-1", CriticalityLevel.NORMAL, {})
await queue.enqueue("task-2", CriticalityLevel.NORMAL, {})
# Try to add more tasks
success = await queue.enqueue("task-3", CriticalityLevel.NORMAL, {})
assert success is False
# Queue should still function
task = await queue.dequeue(timeout=1.0)
assert task is not None
# Now we can add another task
success = await queue.enqueue("task-4", CriticalityLevel.NORMAL, {})
assert success is True