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[core] Add memory pool to scheduler to reduce heap fragmentation (#10536)
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209
tests/integration/test_scheduler_pool.py
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209
tests/integration/test_scheduler_pool.py
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"""Integration test for scheduler memory pool functionality."""
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from __future__ import annotations
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import asyncio
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import re
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import pytest
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from .types import APIClientConnectedFactory, RunCompiledFunction
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@pytest.mark.asyncio
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async def test_scheduler_pool(
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yaml_config: str,
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run_compiled: RunCompiledFunction,
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api_client_connected: APIClientConnectedFactory,
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) -> None:
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"""Test that the scheduler memory pool is working correctly with realistic usage.
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This test simulates real-world scheduler usage patterns and verifies that:
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1. Items are recycled to the pool when timeouts complete naturally
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2. Items are recycled when intervals/timeouts are cancelled
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3. Items are reused from the pool for new scheduler operations
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4. The pool grows gradually based on actual usage patterns
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5. Pool operations are logged correctly with debug scheduler enabled
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"""
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# Track log messages to verify pool behavior
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log_lines: list[str] = []
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pool_reuse_count = 0
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pool_recycle_count = 0
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pool_full_count = 0
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new_alloc_count = 0
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# Patterns to match pool operations
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reuse_pattern = re.compile(r"Reused item from pool \(pool size now: (\d+)\)")
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recycle_pattern = re.compile(r"Recycled item to pool \(pool size now: (\d+)\)")
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pool_full_pattern = re.compile(r"Pool full \(size: (\d+)\), deleting item")
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new_alloc_pattern = re.compile(r"Allocated new item \(pool empty\)")
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# Futures to track when test phases complete
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loop = asyncio.get_running_loop()
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test_complete_future: asyncio.Future[bool] = loop.create_future()
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phase_futures = {
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1: loop.create_future(),
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2: loop.create_future(),
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3: loop.create_future(),
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4: loop.create_future(),
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5: loop.create_future(),
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6: loop.create_future(),
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7: loop.create_future(),
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}
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def check_output(line: str) -> None:
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"""Check log output for pool operations and phase completion."""
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nonlocal pool_reuse_count, pool_recycle_count, pool_full_count, new_alloc_count
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log_lines.append(line)
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# Track pool operations
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if reuse_pattern.search(line):
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pool_reuse_count += 1
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elif recycle_pattern.search(line):
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pool_recycle_count += 1
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elif pool_full_pattern.search(line):
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pool_full_count += 1
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elif new_alloc_pattern.search(line):
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new_alloc_count += 1
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# Track phase completion
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for phase_num in range(1, 8):
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if (
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f"Phase {phase_num} complete" in line
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and phase_num in phase_futures
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and not phase_futures[phase_num].done()
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):
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phase_futures[phase_num].set_result(True)
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# Check for test completion
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if "Pool recycling test complete" in line and not test_complete_future.done():
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test_complete_future.set_result(True)
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# Run the test with log monitoring
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async with (
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run_compiled(yaml_config, line_callback=check_output),
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api_client_connected() as client,
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):
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# Verify device is running
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device_info = await client.device_info()
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assert device_info is not None
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assert device_info.name == "scheduler-pool-test"
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# Get list of services
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entities, services = await client.list_entities_services()
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service_names = {s.name for s in services}
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# Verify all test services are available
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expected_services = {
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"run_phase_1",
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"run_phase_2",
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"run_phase_3",
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"run_phase_4",
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"run_phase_5",
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"run_phase_6",
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"run_phase_7",
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"run_complete",
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}
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assert expected_services.issubset(service_names), (
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f"Missing services: {expected_services - service_names}"
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)
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# Get service objects
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phase_services = {
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num: next(s for s in services if s.name == f"run_phase_{num}")
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for num in range(1, 8)
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}
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complete_service = next(s for s in services if s.name == "run_complete")
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try:
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# Phase 1: Component lifecycle
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client.execute_service(phase_services[1], {})
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await asyncio.wait_for(phase_futures[1], timeout=1.0)
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await asyncio.sleep(0.05) # Let timeouts complete
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# Phase 2: Sensor polling
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client.execute_service(phase_services[2], {})
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await asyncio.wait_for(phase_futures[2], timeout=1.0)
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await asyncio.sleep(0.1) # Let intervals run a bit
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# Phase 3: Communication patterns
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client.execute_service(phase_services[3], {})
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await asyncio.wait_for(phase_futures[3], timeout=1.0)
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await asyncio.sleep(0.1) # Let heartbeat run
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# Phase 4: Defer patterns
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client.execute_service(phase_services[4], {})
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await asyncio.wait_for(phase_futures[4], timeout=1.0)
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await asyncio.sleep(0.2) # Let everything settle and recycle
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# Phase 5: Pool reuse verification
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client.execute_service(phase_services[5], {})
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await asyncio.wait_for(phase_futures[5], timeout=1.0)
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await asyncio.sleep(0.1) # Let Phase 5 timeouts complete and recycle
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# Phase 6: Full pool reuse verification
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client.execute_service(phase_services[6], {})
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await asyncio.wait_for(phase_futures[6], timeout=1.0)
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await asyncio.sleep(0.1) # Let Phase 6 timeouts complete
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# Phase 7: Same-named defer optimization
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client.execute_service(phase_services[7], {})
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await asyncio.wait_for(phase_futures[7], timeout=1.0)
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await asyncio.sleep(0.05) # Let the single defer execute
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# Complete test
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client.execute_service(complete_service, {})
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await asyncio.wait_for(test_complete_future, timeout=0.5)
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except TimeoutError as e:
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# Print debug info if test times out
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recent_logs = "\n".join(log_lines[-30:])
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phases_completed = [num for num, fut in phase_futures.items() if fut.done()]
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pytest.fail(
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f"Test timed out waiting for phase/completion. Error: {e}\n"
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f" Phases completed: {phases_completed}\n"
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f" Pool stats:\n"
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f" Reuse count: {pool_reuse_count}\n"
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f" Recycle count: {pool_recycle_count}\n"
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f" Pool full count: {pool_full_count}\n"
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f" New alloc count: {new_alloc_count}\n"
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f"Recent logs:\n{recent_logs}"
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)
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# Verify all test phases ran
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for phase_num in range(1, 8):
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assert phase_futures[phase_num].done(), f"Phase {phase_num} did not complete"
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# Verify pool behavior
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assert pool_recycle_count > 0, "Should have recycled items to pool"
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# Check pool metrics
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if pool_recycle_count > 0:
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max_pool_size = 0
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for line in log_lines:
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if match := recycle_pattern.search(line):
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size = int(match.group(1))
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max_pool_size = max(max_pool_size, size)
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# Pool can grow up to its maximum of 5
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assert max_pool_size <= 5, f"Pool grew beyond maximum ({max_pool_size})"
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# Log summary for debugging
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print("\nScheduler Pool Test Summary (Python Orchestrated):")
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print(f" Items recycled to pool: {pool_recycle_count}")
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print(f" Items reused from pool: {pool_reuse_count}")
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print(f" Pool full events: {pool_full_count}")
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print(f" New allocations: {new_alloc_count}")
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print(" All phases completed successfully")
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# Verify reuse happened
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if pool_reuse_count == 0 and pool_recycle_count > 3:
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pytest.fail("Pool had items recycled but none were reused")
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# Success - pool is working
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assert pool_recycle_count > 0 or new_alloc_count < 15, (
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"Pool should either recycle items or limit new allocations"
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)
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