host
26daddf909
setup_logging() takes a log LEVEL, not a logger name; passing 'cloud.autoscaler' raised ValueError at startup, so the scaler crash-looped under systemd and started zero workers (the host had no worker at all until this fix). The '/opt/.../-m' FileNotFoundError in the same journal lines is only Ubuntu's apport hook misfiring on 'python3 -m', not a second bug. Regression test: main() with mocked run_loop/signal must reach the loop (this would have caught the crash before deploy).
182 lines
7.0 KiB
Python
182 lines
7.0 KiB
Python
"""Autoscaler 单测：深度计算、目标 worker 数、启停与缩容冷却。
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只用临时 SQLite 与假 worker 命令（sleep 进程），不跑真实
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worker、不联网、不碰生产库。假 worker 命令通过 worker_cmd
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注入，scaler 的 worker_args 为空——真实 worker 命令构造
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（强制 --loop/--worker-id/--worker-capacity）由构造测试覆盖。
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"""
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import os
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import sqlite3
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import sys
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import tempfile
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import time
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import unittest
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from pathlib import Path
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try:
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from cloud.autoscaler import Autoscaler, desired_workers, queue_depth
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from cloud.server import init_db
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except ImportError:
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sys.path.insert(0, str(Path(__file__).resolve().parents[2]))
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from cloud.autoscaler import Autoscaler, desired_workers, queue_depth
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from cloud.server import init_db
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def _insert_task(db_path, task_id, status="queued", depends_on="[]"):
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now = time.time()
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conn = sqlite3.connect(db_path)
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try:
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conn.execute(
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"INSERT INTO tasks(id, project_id, prompt, status,"
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" idempotency_key, depends_on, priority, created_by,"
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" created_at, updated_at, last_heartbeat)"
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" VALUES(?, 'p1', 'x', ?, NULL, ?, 0, 'tester', ?, ?, NULL)",
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(task_id, status, depends_on, now, now),
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)
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conn.commit()
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finally:
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conn.close()
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def _set_status(db_path, task_id, status):
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conn = sqlite3.connect(db_path)
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try:
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conn.execute("UPDATE tasks SET status = ? WHERE id = ?",
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(status, task_id))
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conn.commit()
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finally:
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conn.close()
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class DesiredWorkersTestCase(unittest.TestCase):
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def test_depth_zero_keeps_min(self):
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self.assertEqual(desired_workers(0, 2, 1, 2), 1)
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def test_depth_zero_min_zero_scales_to_zero(self):
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self.assertEqual(desired_workers(0, 2, 0, 2), 0)
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def test_depth_divides_by_capacity_and_caps(self):
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self.assertEqual(desired_workers(1, 2, 1, 2), 1)
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self.assertEqual(desired_workers(3, 2, 1, 2), 2)
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self.assertEqual(desired_workers(10, 2, 1, 2), 2)
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self.assertEqual(desired_workers(5, 1, 1, 3), 3)
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class QueueDepthTestCase(unittest.TestCase):
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def setUp(self):
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self.tmp = tempfile.TemporaryDirectory()
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self.db_path = os.path.join(self.tmp.name, "control.db")
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init_db(self.db_path)
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def tearDown(self):
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self.tmp.cleanup()
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def test_only_ready_tasks_count(self):
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# A 就绪；B 依赖未完成的 A，不算；C 已完成，不算；
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# D 在跑，不算；E 失败，不算。
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_insert_task(self.db_path, "A")
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_insert_task(self.db_path, "B", depends_on='["A"]')
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_insert_task(self.db_path, "C", status="completed")
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_insert_task(self.db_path, "D", status="running")
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_insert_task(self.db_path, "E", status="failed")
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self.assertEqual(queue_depth(self.db_path), 1)
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# A 完成后，B 解锁，深度仍是 1（不是 2）。
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_set_status(self.db_path, "A", "completed")
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self.assertEqual(queue_depth(self.db_path), 1)
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def test_dependency_cycle_counts_zero(self):
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_insert_task(self.db_path, "A", depends_on='["B"]')
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_insert_task(self.db_path, "B", depends_on='["A"]')
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self.assertEqual(queue_depth(self.db_path), 0)
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class AutoscalerReconcileTestCase(unittest.TestCase):
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def setUp(self):
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self.tmp = tempfile.TemporaryDirectory()
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self.db_path = os.path.join(self.tmp.name, "control.db")
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init_db(self.db_path)
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# 假 worker：睡 120 秒的 python 进程，scaler 用 SIGTERM
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# 停它（默认行为即退出，不用等 drain 超时）。
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self.fake_cmd = [sys.executable, "-c",
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"import time; time.sleep(120)"]
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def tearDown(self):
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# 测试结束时残留的假 worker 必须清掉，否则泄漏进程。
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if hasattr(self, "scaler"):
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for wid in list(self.scaler.workers):
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try:
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self.scaler._stop_worker(wid)
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except Exception:
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pass
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self.tmp.cleanup()
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def _scaler(self, **kwargs):
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kwargs.setdefault("min_workers", 1)
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kwargs.setdefault("max_workers", 2)
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kwargs.setdefault("per_worker_capacity", 2)
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kwargs.setdefault("scale_down_after", 1)
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kwargs.setdefault("drain_timeout", 5)
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self.scaler = Autoscaler(
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self.db_path, [], worker_cmd=self.fake_cmd, **kwargs)
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return self.scaler
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def test_scales_up_on_depth_and_down_after_cooldown(self):
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scaler = self._scaler()
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depth, desired, actual = scaler.reconcile()
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self.assertEqual((depth, desired, actual), (0, 1, 1))
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for tid in ("A", "B", "C", "D"):
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_insert_task(self.db_path, tid)
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depth, desired, actual = scaler.reconcile()
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self.assertEqual((depth, desired, actual), (4, 2, 2))
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# 任务全完成：scale_down_after=1，下一轮直接缩回 1。
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for tid in ("A", "B", "C", "D"):
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_set_status(self.db_path, tid, "completed")
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depth, desired, actual = scaler.reconcile()
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self.assertEqual((depth, desired, actual), (0, 1, 1))
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def test_scale_down_waits_for_cooldown_streak(self):
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scaler = self._scaler(scale_down_after=3)
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for tid in ("A", "B", "C", "D"):
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_insert_task(self.db_path, tid)
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scaler.reconcile()
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self.assertEqual(len(scaler.workers), 2)
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for tid in ("A", "B", "C", "D"):
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_set_status(self.db_path, tid, "completed")
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scaler.reconcile()
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self.assertEqual(len(scaler.workers), 2)
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scaler.reconcile()
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self.assertEqual(len(scaler.workers), 2)
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scaler.reconcile()
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self.assertEqual(len(scaler.workers), 1)
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def test_worker_command_forces_loop_id_capacity(self):
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scaler = Autoscaler(self.db_path, ["--interval", "10"])
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cmd = scaler._worker_command("autoscale-1")
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self.assertIn("--loop", cmd)
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self.assertIn("autoscale-1", cmd)
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self.assertIn("--worker-capacity", cmd)
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self.assertEqual(cmd[cmd.index("--worker-capacity") + 1], "2")
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self.assertIn("--db", cmd)
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self.assertEqual(cmd[cmd.index("--db") + 1], self.db_path)
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def test_main_parses_args_and_starts_loop(self):
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# 回归：main() 里 setup_logging 曾错传 logger 名当 level，
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# 直接 ValueError，scaler 在主机上 crash-loop、一个 worker
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# 都没拉起来。本测试 mock 掉 run_loop 与 signal，只验证
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# main() 能走到启动循环（即参数解析与日志初始化没炸）。
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from unittest import mock
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import cloud.autoscaler as autoscaler_mod
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with mock.patch.object(
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autoscaler_mod.Autoscaler, "run_loop") as mock_loop, \
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mock.patch("signal.signal"):
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autoscaler_mod.main([
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"--db", self.db_path, "--interval", "30",
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"--", "--interval", "10"])
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mock_loop.assert_called_once()
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if __name__ == "__main__":
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unittest.main()
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