- services/_shared/heartbeat.py (A1) WorkerStats/utc_now_iso/heartbeat_loop 소비 - image-render / video-render / music-render / insta-render 각 worker.py: stats = WorkerStats() 모듈 레벨 추가, poll_once에서 dispatch 전 busy=True, ack 후 jobs_done+1 / fail 후 jobs_failed+1 + last_job_at + busy=False - 각 main.py: lifespan에 aioredis(decode_responses=False) + heartbeat_loop 태스크 spawn, 종료 시 cancel + aclose - 각 tests/test_worker.py: test_poll_once_increments_jobs_done 추가 (image:flux / video:sora / music:suno / insta:_process_one mock) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_019LV86jBozkNhSFXJA412fq
92 lines
3.1 KiB
Python
92 lines
3.1 KiB
Python
import json
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from unittest.mock import AsyncMock, MagicMock
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import pytest
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import worker
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def test_dispatch_routes_to_provider(monkeypatch):
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called = {}
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monkeypatch.setattr(worker, "run_gpt_image_generation", lambda tid, p: called.setdefault("gpt", (tid, p)))
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worker._dispatch({"job_type": "gpt_image_generation", "task_id": "t1", "params": {"prompt": "x"}})
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assert called["gpt"][0] == "t1"
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def test_dispatch_unknown_job_type_reports_failed(monkeypatch):
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calls = []
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monkeypatch.setattr(worker, "webhook_update_task", lambda *a, **k: calls.append((a, k)))
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worker._dispatch({"job_type": "midjourney_generation", "task_id": "t9", "params": {}})
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assert calls[-1][0][1] == "failed"
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# ----- F6: ReliableQueue poll_once -----
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@pytest.mark.asyncio
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async def test_poll_once_acks_on_success(monkeypatch):
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payload = {"task_id": "t1", "job_type": "gpt_image_generation", "params": {}}
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raw = json.dumps(payload).encode()
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fake_queue = AsyncMock()
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fake_queue.dequeue = AsyncMock(return_value=(payload, raw))
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fake_queue.ack = AsyncMock()
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fake_queue.fail = AsyncMock()
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monkeypatch.setattr(worker, "_dispatch", MagicMock())
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handled = await worker.poll_once(fake_queue)
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assert handled is True
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fake_queue.ack.assert_awaited_once_with(raw)
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fake_queue.fail.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_poll_once_calls_fail_on_dispatch_exception(monkeypatch):
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payload = {"task_id": "t2", "job_type": "gpt_image_generation", "params": {}}
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raw = json.dumps(payload).encode()
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fake_queue = AsyncMock()
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fake_queue.dequeue = AsyncMock(return_value=(payload, raw))
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fake_queue.ack = AsyncMock()
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fake_queue.fail = AsyncMock()
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def _boom(p):
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raise RuntimeError("dispatch crash")
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monkeypatch.setattr(worker, "_dispatch", _boom)
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handled = await worker.poll_once(fake_queue)
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assert handled is True
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fake_queue.fail.assert_awaited_once_with(raw, payload)
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fake_queue.ack.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_poll_once_returns_false_on_timeout(monkeypatch):
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fake_queue = AsyncMock()
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fake_queue.dequeue = AsyncMock(return_value=None)
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fake_queue.ack = AsyncMock()
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fake_queue.fail = AsyncMock()
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monkeypatch.setattr(worker, "_dispatch", MagicMock())
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handled = await worker.poll_once(fake_queue)
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assert handled is False
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fake_queue.ack.assert_not_awaited()
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fake_queue.fail.assert_not_awaited()
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# ----- heartbeat stats 카운터 -----
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class _OneJobQueue:
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def __init__(self): self.acked = False
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async def dequeue(self, timeout=5):
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if self.acked: return None
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return ({"job_type": "flux_generation", "task_id": "t1", "params": {}}, b"raw")
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async def ack(self, raw): self.acked = True
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async def fail(self, raw, payload): pass
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@pytest.mark.asyncio
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async def test_poll_once_increments_jobs_done(monkeypatch):
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worker.stats.jobs_done = 0
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monkeypatch.setattr(worker, "run_flux_generation", lambda task_id, params: None)
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handled = await worker.poll_once(_OneJobQueue())
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assert handled is True
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assert worker.stats.jobs_done == 1
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assert worker.stats.busy is False
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assert worker.stats.last_job_at is not None
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