Refactor scheduler lock implementation with heartbeat mechanism
- Add heartbeat-based lock renewal in scheduler_lock_heartbeat.py - Update scheduler_lock.py with improved lock management - Add comprehensive tests for scheduler lock functionality - Update deployment and task documentation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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@@ -2,7 +2,7 @@
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These tests verify that the database-backed scheduler lock correctly enforces
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single-executor safety across multiple startup attempts, including stale lock
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cleanup and heartbeat updates.
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cleanup, heartbeat updates, and multi-process race condition prevention.
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"""
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from __future__ import annotations
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@@ -15,6 +15,7 @@ import aiosqlite
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import pytest
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from app.utils.scheduler_lock import (
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SCHEDULER_LOCK_HEARTBEAT_INTERVAL_SECONDS,
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SCHEDULER_LOCK_TTL_SECONDS,
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acquire_scheduler_lock,
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get_scheduler_lock_info,
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@@ -220,3 +221,75 @@ async def test_scheduler_lock_full_lifecycle(
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await release_scheduler_lock(lock_db)
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info = await get_scheduler_lock_info(lock_db)
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assert info is None
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@pytest.mark.asyncio
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async def test_scheduler_lock_heartbeat_interval_sanity(
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lock_db: aiosqlite.Connection,
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) -> None:
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"""Verify heartbeat interval is less than TTL to prevent premature expiry.
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With a 5-second heartbeat interval and 60-second TTL, the lock can survive
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~12 missed heartbeats before expiring. This provides robust protection against
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temporary delays or high load that could cause a single missed heartbeat.
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"""
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# Verify the configuration ratio is safe (interval < TTL)
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assert SCHEDULER_LOCK_HEARTBEAT_INTERVAL_SECONDS < SCHEDULER_LOCK_TTL_SECONDS
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# With this ratio, the lock can survive at least 12 missed heartbeats
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# (60s TTL / 5s interval = 12 intervals between heartbeats before expiry)
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safe_ratio = SCHEDULER_LOCK_TTL_SECONDS / SCHEDULER_LOCK_HEARTBEAT_INTERVAL_SECONDS
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assert safe_ratio >= 12, (
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f"Heartbeat interval too long: lock can only survive {safe_ratio:.1f} missed heartbeats. "
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f"Should be at least 12 for safety."
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)
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@pytest.mark.asyncio
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async def test_scheduler_lock_race_condition_prevention(
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lock_db: aiosqlite.Connection,
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) -> None:
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"""Test that the lock prevents concurrent execution (race condition).
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Scenario: Process A acquires the lock and starts working. Process B starts
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up and tries to acquire the lock. Even if Process A's heartbeat fails
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momentarily, Process B should not acquire the lock immediately.
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This test verifies:
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1. Only one process can hold the lock at a time
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2. The lock cannot be stolen while being actively maintained (via heartbeat)
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3. Stale locks are only cleaned after TTL expires
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"""
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# Process A acquires the lock
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result_a = await acquire_scheduler_lock(lock_db)
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assert result_a is True
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# Get the lock info
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info_a = await get_scheduler_lock_info(lock_db)
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assert info_a is not None
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lock_heartbeat_a = info_a["heartbeat_at"]
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# Process B tries to acquire — should fail
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result_b = await acquire_scheduler_lock(lock_db)
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assert result_b is False
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# Process A updates its heartbeat (simulating ongoing work)
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time.sleep(0.01)
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result_heartbeat = await update_scheduler_lock_heartbeat(lock_db)
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assert result_heartbeat is True
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# Verify heartbeat was updated
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info_a_updated = await get_scheduler_lock_info(lock_db)
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assert info_a_updated is not None
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assert info_a_updated["heartbeat_at"] > lock_heartbeat_a
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# Process B still cannot acquire the lock (it's active and well-maintained)
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result_b_retry = await acquire_scheduler_lock(lock_db)
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assert result_b_retry is False
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# Process A releases the lock
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await release_scheduler_lock(lock_db)
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# Now Process B can acquire it
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result_b_final = await acquire_scheduler_lock(lock_db)
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assert result_b_final is True
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