fix(gpu): #1970 MuseTalk worker 推理期心跳/超时 900/重试收敛/短视频前置失败
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- GPU_TASK_TIMEOUT_SECONDS 默认 300→900(base.py + env 模板),worker
  REQUEST_TIMEOUT 默认同步 300→900,RTX2060 6G 处理 720p 长视频不再超时
- worker 新增 TaskHeartbeat daemon 线程:任务处理期间每 30s POST
  /gpu/register(task_id=...) 续任务心跳,服务端只在任务心跳真正停滞
  超过 900s(崩溃/断网)或 worker 明确上报 failed 时才回退 pending,
  长推理阻塞主循环不再导致误回退
- register schema/service 支持 task_id:_touch_task_heartbeat 只刷新
  属于该 worker 且仍 processing 的任务,已完成/已被回收重派的过期心跳忽略
- worker 本地 TASK_MAX_RETRY 2→1,且仅对瞬时错误(连接失败/超时/5xx)重试;
  4xx、结果过小等确定性失败不本地重试,服务端 MAX_ATTEMPTS=3 不变,
  消除 3×3=9 次推理放大
- <3s 输入视频(MuseTalk division by zero)下载后 ffprobe 前置校验,
  直接上报 failed"视频过短",不调用推理;ffprobe 不可用时不拦截
- 新增 11 个单测(worker 独立脚本按路径加载),全量 15839 passed
This commit is contained in:
xiaoxia
2026-09-19 14:29:22 +08:00
parent a1f25a4426
commit a8f1069cd2
12 changed files with 514 additions and 59 deletions
@@ -0,0 +1,254 @@
"""#1970 GPU Worker 修复单测.
覆盖 deploy/gpu_worker/gpu_worker.py(独立部署脚本,不在 apps/packages 包内,
按文件路径动态加载):
1. 默认配置:REQUEST_TIMEOUT=900 / TASK_MAX_RETRY=1 / 心跳 30s / 最短 3s;
2. 推理期心跳线程 POST /gpu/register 带 task_id,任务结束能停;
3. <3s 短视频直接上报失败,不调用 MuseTalk;
4. _call_musetalk 仅对 5xx/网络瞬时错误标记 retryable,4xx 不重试;
5. _handle_task 只对 retryable 错误本地重试 1 次。
"""
from __future__ import annotations
import importlib.util
import os
import sys
import time
from pathlib import Path
from unittest import mock
import pytest
ROOT = Path(__file__).resolve().parents[2]
WORKER_PATH = ROOT / "deploy" / "gpu_worker" / "gpu_worker.py"
def _load_worker_module():
spec = importlib.util.spec_from_file_location("gpu_worker_standalone_1970", WORKER_PATH)
mod = importlib.util.module_from_spec(spec)
sys.modules[spec.name] = mod
spec.loader.exec_module(mod)
return mod
@pytest.fixture
def worker():
return _load_worker_module()
# ── 默认配置 ───────────────────────────────────────────────────────
def test_config_defaults_900_and_retry_one(monkeypatch):
"""CI/本机若显式导出过这些 env,说明是运维覆盖,不应拿默认值断言;
因此只在四个 env 全部缺失时校验脚本内置默认值(#1970:900/1/30/3)。"""
keys = (
"REQUEST_TIMEOUT",
"TASK_MAX_RETRY",
"TASK_HEARTBEAT_INTERVAL",
"MIN_VIDEO_DURATION_SECONDS",
)
if any(k in os.environ for k in keys):
pytest.skip("环境显式设置了 worker 超时/重试变量,跳过默认值断言")
for key in keys:
monkeypatch.delenv(key, raising=False)
mod = _load_worker_module()
assert mod.Config.request_timeout == 900.0
assert mod.Config.task_max_retry == 1
assert mod.Config.task_heartbeat_interval == 30.0
assert mod.Config.min_video_duration_seconds == 3.0
# ── register 携带 task_id ──────────────────────────────────────────
def test_register_payload_includes_task_id_only_when_provided(worker, monkeypatch):
captured = []
class _Resp:
status_code = 200
text = ""
def _fake_post(url, json=None, headers=None, timeout=None):
captured.append(json)
return _Resp()
monkeypatch.setattr(worker.requests, "post", _fake_post)
monkeypatch.setattr(worker, "_check_musetalk_health", lambda: (True, {}))
assert worker._register("task-abc") is True
assert captured[-1]["task_id"] == "task-abc"
assert captured[-1]["worker_id"]
worker._register() # 空闲心跳不带 task_id
assert "task_id" not in captured[-1]
# ── 推理期心跳线程 ─────────────────────────────────────────────────
def test_task_heartbeat_thread_sends_and_stops(worker, monkeypatch):
calls = []
def _fake_register(task_id=None):
calls.append(task_id)
return True
monkeypatch.setattr(worker, "_register", _fake_register)
hb = worker.TaskHeartbeat("task-hb1", interval=5)
hb.start()
time.sleep(0.3) # 启动后立即发一次
hb.stop()
hb.join(timeout=2)
assert not hb.is_alive()
assert calls and all(c == "task-hb1" for c in calls)
# ── 短视频前置拦截 ─────────────────────────────────────────────────
def test_handle_task_short_video_reports_failed_without_inference(worker, monkeypatch, tmp_path):
video = tmp_path / "input.mp4"
video.write_bytes(b"fake-mp4-bytes")
audio = tmp_path / "input_audio.bin"
audio.write_bytes(b"fake-audio")
reports = []
monkeypatch.setattr(worker, "_register", lambda *a, **k: True)
monkeypatch.setattr(worker, "_download", lambda url, path: True)
# ffprobe 读出 1.2s → 低于 3s 阈值
monkeypatch.setattr(worker, "_probe_duration", lambda path: 1.2)
def _boom(*a, **k):
raise AssertionError("短视频不应调用 MuseTalk 推理")
monkeypatch.setattr(worker, "_call_musetalk", _boom)
monkeypatch.setattr(
worker,
"_report_result",
lambda task_id, success, duration=0.0, error_msg="": reports.append((task_id, success, error_msg)) or True,
)
task = {
"task_id": "task-short",
"video_url": "https://example.com/v.mp4",
"audio_url": "https://example.com/a.bin",
}
worker._handle_task(task)
assert len(reports) == 1
tid, ok, err = reports[0]
assert tid == "task-short"
assert ok is False
assert "视频过短" in err
assert "3" in err
def test_handle_task_probe_failure_does_not_block(worker, monkeypatch):
"""ffprobe 不可用(duration=0.0)时不能误杀,应继续推理."""
reports = []
monkeypatch.setattr(worker, "_register", lambda *a, **k: True)
monkeypatch.setattr(worker, "_download", lambda url, path: True)
monkeypatch.setattr(worker, "_probe_duration", lambda path: 0.0)
monkeypatch.setattr(
worker,
"_call_musetalk",
lambda v, a, o: (True, 8.0, "", False),
)
uploaded = []
monkeypatch.setattr(
worker,
"_report_success_with_file",
lambda task_id, duration, path: uploaded.append((task_id, duration)),
)
monkeypatch.setattr(worker, "_report_result", lambda *a, **k: True)
worker._handle_task({"task_id": "task-probe0", "video_url": "u", "audio_url": "u"})
assert uploaded == [("task-probe0", 8.0)]
assert reports == []
# ── 重试语义:仅瞬时错误重试 ───────────────────────────────────────
def test_call_musetalk_4xx_not_retryable_5xx_retryable(worker, monkeypatch, tmp_path):
video = tmp_path / "v.mp4"
audio = tmp_path / "a.bin"
video.write_bytes(b"v")
audio.write_bytes(b"a")
out = tmp_path / "o.mp4"
class _Resp:
def __init__(self, code, body=b"x" * 2048):
self.status_code = code
self.content = body
self.text = "err"
# 4xx:确定性失败,不重试
monkeypatch.setattr(worker.requests, "post", lambda *a, **k: _Resp(400))
ok, _, _, retryable = worker._call_musetalk(video, audio, out)
assert ok is False and retryable is False
monkeypatch.setattr(worker.requests, "post", lambda *a, **k: _Resp(503))
ok, _, _, retryable = worker._call_musetalk(video, audio, out)
assert ok is False and retryable is True
# 连接异常:瞬时错误,可重试
import requests as _requests
def _conn_err(*a, **k):
raise _requests.exceptions.ConnectionError("reset")
monkeypatch.setattr(worker.requests, "post", _conn_err)
ok, _, _, retryable = worker._call_musetalk(video, audio, out)
assert ok is False and retryable is True
def test_handle_task_retries_once_for_transient_then_succeeds(worker, monkeypatch):
calls = []
def _fake_call(v, a, o):
calls.append(1)
if len(calls) == 1:
return False, 0.0, "MuseTalk HTTP 503: busy", True
return True, 6.5, "", False
monkeypatch.setattr(worker, "_register", lambda *a, **k: True)
monkeypatch.setattr(worker, "_download", lambda url, path: True)
monkeypatch.setattr(worker, "_probe_duration", lambda path: 12.0)
monkeypatch.setattr(worker, "_call_musetalk", _fake_call)
monkeypatch.setattr(worker, "time", mock.MagicMock()) # 重试 sleep 立即返回
uploaded = []
monkeypatch.setattr(
worker,
"_report_success_with_file",
lambda task_id, duration, path: uploaded.append((task_id, duration)),
)
worker._handle_task({"task_id": "t-retry", "video_url": "u", "audio_url": "u"})
assert len(calls) == 2
assert uploaded == [("t-retry", 6.5)]
def test_handle_task_no_retry_for_deterministic_failure(worker, monkeypatch):
calls = []
def _fake_call(v, a, o):
calls.append(1)
return False, 0.0, "MuseTalk HTTP 400: bad input", False
reports = []
monkeypatch.setattr(worker, "_register", lambda *a, **k: True)
monkeypatch.setattr(worker, "_download", lambda url, path: True)
monkeypatch.setattr(worker, "_probe_duration", lambda path: 12.0)
monkeypatch.setattr(worker, "_call_musetalk", _fake_call)
monkeypatch.setattr(
worker,
"_report_result",
lambda task_id, success, duration=0.0, error_msg="": reports.append(error_msg) or True,
)
worker._handle_task({"task_id": "t-4xx", "video_url": "u", "audio_url": "u"})
assert len(calls) == 1 # 4xx 本地不重试,直接交服务端决定
assert reports and "400" in reports[0]
+67
View File
@@ -181,6 +181,73 @@ def test_register_worker_creates_then_updates(svc):
assert w2.created_at == w.created_at # 没新建
def test_register_with_task_id_refreshes_task_heartbeat(svc):
"""#1970 推理期心跳:register(task_id=...) 只刷新本 worker 的 processing 任务."""
from packages.adapters.sqlalchemy_impl.models import GpuWorkerModel
t = svc.create_task(video_url="v", audio_url="a")
svc.poll_task("w-1")
svc.db.refresh(t)
old_hb = t.last_heartbeat_at
assert t.status == "processing"
# 模拟时间流逝后心跳到达
svc.db.query(GpuWorkerModel).filter_by(worker_id="w-1").update(
{"last_heartbeat_at": old_hb - timedelta(seconds=300)}
)
svc.db.commit()
svc.register_worker("w-1", task_id=t.id)
svc.db.refresh(t)
assert t.last_heartbeat_at > old_hb
assert t.status == "processing" # 心跳不改变状态
# worker 表心跳也被刷新
w = svc.db.query(GpuWorkerModel).filter_by(worker_id="w-1").one()
assert w.last_heartbeat_at > old_hb
def test_register_task_heartbeat_ignores_finished_or_foreign_task(svc):
"""任务已 done,或已被超时回收重新派发给别的 worker 时,旧心跳必须忽略."""
from packages.adapters.sqlalchemy_impl.models import GpuLipsyncTaskModel, GpuWorkerModel
# 场景 1:任务已完成 → register 带 task_id 不得改写任务心跳
t = svc.create_task(video_url="v", audio_url="a")
svc.poll_task("w-1")
done = svc.report_result(t.id, "w-1", success=True, duration_seconds=10.0)
hb_when_done = done.last_heartbeat_at
svc.register_worker("w-1", task_id=t.id)
svc.db.refresh(t)
assert t.status == "done"
assert t.last_heartbeat_at == hb_when_done # 没被改写
# 场景 2:任务超时回收后被 w-2 重新认领,旧 worker w-1 的迟到心跳无效
t2 = svc.create_task(video_url="v2", audio_url="a2")
svc.poll_task("w-1")
svc.db.refresh(t2)
t2.last_heartbeat_at = datetime.now(UTC) - timedelta(days=1)
svc.db.commit()
claimed = svc.poll_task("w-2") # 触发回收并由 w-2 重新认领
assert claimed is not None and claimed.id == t2.id
owner_hb = claimed.last_heartbeat_at
# 把 w-2 的 worker 心跳拨早,确认旧心跳不会影响任务归属
svc.db.query(GpuWorkerModel).filter_by(worker_id="w-2").update(
{"last_heartbeat_at": owner_hb - timedelta(seconds=600)}
)
svc.db.commit()
svc.register_worker("w-1", task_id=t2.id) # 旧 worker 迟到心跳
svc.db.refresh(t2)
assert t2.worker_id == "w-2"
assert t2.status == "processing"
assert t2.last_heartbeat_at == owner_hb
# 场景 3:不存在的 task_id 不报错
svc.register_worker("w-1", task_id="nonexistent-id")
assert svc.db.get(GpuLipsyncTaskModel, "nonexistent-id") is None
def test_default_gpu_task_timeout_is_900(svc):
"""#1970 默认超时 300→900,覆盖 RTX2060 长视频推理."""
assert svc.settings.gpu_task_timeout_seconds == 900
# ── get_by_lipsync_job ─────────────────────────────────────────────