用户报的现象:任务一直显示「排队中」。查库确认有两批 run 卡在 pending(任务 7 的 44/45、 任务 15 的 62/63)。两个原因,一个是我上一版改坏的: 1) **`RUN_RUNNING` 被我缩进进了爬虫那条分支。** 抖音走的是另一条路,于是它**从不标记 「运行中」** —— 建完 pending 那一行就直接进采集,中途一旦出事(异常、进程被重启), 状态就永远停在 pending。这是我加平台分岔时把原本在两条路公共位置的一行挪进去了。 2) **`recover()` 只收 `running`,够不着 `pending`。** 那行是上一轮建的、后面的采集却 根本没机会开始(进程重启),它永远不会自己往前走。于是重启也救不回来,界面上就是 一个永远「排队中」的幽灵。现在 pending 一起收。 两处都补了测试:抖音路的 run 必须在**采集开始之前**就已经是 running(这条改回去就会 失败);recover 要把 pending 也标成 interrupted。
341 lines
13 KiB
Python
341 lines
13 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2025 [email protected]
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#
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# This file is part of MediaCrawler project.
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# Repository: https://github.com/NanmiCoder/MediaCrawler/blob/main/tests/test_monitor_scheduler.py
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# GitHub: https://github.com/NanmiCoder
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# Licensed under NON-COMMERCIAL LEARNING LICENSE 1.1
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#
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# 声明:本代码仅供学习和研究目的使用。使用者应遵守以下原则:
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# 1. 不得用于任何商业用途。
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# 2. 使用时应遵守目标平台的使用条款和robots.txt规则。
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# 3. 不得进行大规模爬取或对平台造成运营干扰。
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# 4. 应合理控制请求频率,避免给目标平台带来不必要的负担。
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# 5. 不得用于任何非法或不当的用途。
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#
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# 详细许可条款请参阅项目根目录下的LICENSE文件。
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# 使用本代码即表示您同意遵守上述原则和LICENSE中的所有条款。
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"""Tests for the monitor scheduler's firing, deferral and recovery rules."""
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import pytest
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import pytest_asyncio
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from sqlalchemy import select
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from api.monitor import db as monitor_db
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from api.monitor import scheduler as scheduler_module
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from api.monitor.models import (
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MODE_CREATOR,
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MonitorRun,
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MonitorTarget,
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MonitorTask,
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RUN_INTERRUPTED,
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RUN_PENDING,
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RUN_RUNNING,
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RUN_SUCCESS,
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)
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from api.monitor.scheduler import MonitorScheduler
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from api.monitor.settings import set_cookie, set_setting
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from tools.time_util import get_current_timestamp
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MS_PER_MINUTE = 60_000
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class FakeCrawlerManager:
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"""Stands in for the global subprocess singleton."""
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def __init__(self, busy: bool = False) -> None:
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self.busy = busy
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def is_busy(self) -> bool:
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return self.busy
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@pytest_asyncio.fixture
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async def db(tmp_path):
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monitor_db.set_sqlite_path(tmp_path / "monitor.db")
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await monitor_db.init_db()
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async with monitor_db.get_session() as session:
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await set_cookie(session, "web_session=test")
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yield monitor_db
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await monitor_db.dispose_engine()
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@pytest_asyncio.fixture
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async def executed(monkeypatch):
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"""Record execute_task calls instead of launching a real crawl."""
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calls: list[tuple[int, str]] = []
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async def _fake_execute(task_id: int, trigger: str = "manual"):
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calls.append((task_id, trigger))
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monkeypatch.setattr(scheduler_module, "execute_task", _fake_execute)
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return calls
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async def _make_task(
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next_run_at, enabled: bool = True, interval: int = 60, platform: str = "xhs"
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) -> int:
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async with monitor_db.get_session() as session:
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now = get_current_timestamp()
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task = MonitorTask(
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name="t",
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platform=platform,
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mode=MODE_CREATOR,
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enabled=enabled,
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interval_minutes=interval,
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max_notes_count=20,
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enable_comments=True,
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max_comments_count=50,
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run_timeout_seconds=3600,
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next_run_at=next_run_at,
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last_status="idle",
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created_at=now,
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updated_at=now,
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)
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session.add(task)
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await session.flush()
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session.add(
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MonitorTarget(
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task_id=task.id,
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kind=MODE_CREATOR,
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external_id="abc123",
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xsec_token="",
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xsec_source="",
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raw_value="abc123",
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label="abc123",
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enabled=True,
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created_at=now,
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)
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)
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return task.id
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async def _get_task(task_id: int) -> MonitorTask:
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async with monitor_db.get_session() as session:
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return await session.get(MonitorTask, task_id)
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class TestFiring:
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@pytest.mark.asyncio
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async def test_due_task_runs_and_advances(self, monkeypatch, db, executed):
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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past = get_current_timestamp() - MS_PER_MINUTE
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task_id = await _make_task(past)
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await MonitorScheduler().tick()
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assert executed == [(task_id, "scheduled")]
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task = await _get_task(task_id)
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# Fixed-delay: the next fire is measured from now, not from the missed slot.
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assert task.next_run_at > get_current_timestamp()
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@pytest.mark.asyncio
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async def test_future_task_does_not_run(self, monkeypatch, db, executed):
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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await _make_task(get_current_timestamp() + 10 * MS_PER_MINUTE)
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await MonitorScheduler().tick()
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assert executed == []
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@pytest.mark.asyncio
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async def test_disabled_task_does_not_run(self, monkeypatch, db, executed):
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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await _make_task(get_current_timestamp() - MS_PER_MINUTE, enabled=False)
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await MonitorScheduler().tick()
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assert executed == []
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@pytest.mark.asyncio
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async def test_the_cookie_gate_reads_the_tasks_own_platform(
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self, monkeypatch, db, executed
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):
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"""cookie 闸门要按任务自己的平台取。
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以前这里是 ``get_cookie(session)``(默认小红书)—— 只有小红书时看不出问题,
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接上抖音后,抖音任务会因为读的是小红书那份 cookie 而永远不被触发,且不报错。
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"""
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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async with monitor_db.get_session() as session:
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await set_cookie(session, "sessionid=dy-secret", "dy")
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task_id = await _make_task(get_current_timestamp() - MS_PER_MINUTE, platform="dy")
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await MonitorScheduler().tick()
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assert executed == [(task_id, "scheduled")]
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@pytest.mark.asyncio
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async def test_cdp_mode_frees_a_task_from_the_cookie_gate(
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self, monkeypatch, db, executed
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):
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"""开着 CDP 时不该再要求先粘 cookie。
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CDP 模式下登录态来自被接管的那台浏览器,粘不粘 cookie 都由不得它 —— 不放行的话,
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选了「接管已有 Chrome」却没粘 cookie 的用户会发现任务永远不跑,而且什么错都不报。
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"""
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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async with monitor_db.get_session() as session:
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await set_setting(session, "system.cdp_enabled", "true")
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task_id = await _make_task(get_current_timestamp() - MS_PER_MINUTE, platform="dy")
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await MonitorScheduler().tick()
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assert executed == [(task_id, "scheduled")]
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@pytest.mark.asyncio
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async def test_long_outage_coalesces_into_one_run(self, monkeypatch, db, executed):
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"""A missed schedule fires once, not once per missed interval."""
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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# Due two days ago on a 1-hour interval.
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await _make_task(get_current_timestamp() - 48 * 60 * MS_PER_MINUTE)
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scheduler = MonitorScheduler()
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await scheduler.tick()
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await scheduler.tick()
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assert len(executed) == 1
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class TestDeferral:
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@pytest.mark.asyncio
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async def test_busy_crawler_defers_without_advancing(self, monkeypatch, db, executed):
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"""A manual crawl must not consume the monitor task's slot or lose it."""
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=True))
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due_at = get_current_timestamp() - MS_PER_MINUTE
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task_id = await _make_task(due_at)
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await MonitorScheduler().tick()
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assert executed == []
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task = await _get_task(task_id)
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# Still due, so the next free tick picks it up rather than skipping a cycle.
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assert task.next_run_at == due_at
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@pytest.mark.asyncio
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async def test_deferred_task_runs_once_crawler_frees_up(self, monkeypatch, db, executed):
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fake = FakeCrawlerManager(busy=True)
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monkeypatch.setattr(scheduler_module, "crawler_manager", fake)
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task_id = await _make_task(get_current_timestamp() - MS_PER_MINUTE)
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scheduler = MonitorScheduler()
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await scheduler.tick()
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assert executed == []
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fake.busy = False
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await scheduler.tick()
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assert executed == [(task_id, "scheduled")]
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class TestCookieGuard:
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@pytest.mark.asyncio
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async def test_no_cookie_blocks_run_and_keeps_task_due(self, monkeypatch, db, executed):
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"""Without a cookie every run would be an auth failure; skip instead."""
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monkeypatch.setattr(scheduler_module, "crawler_manager", FakeCrawlerManager(busy=False))
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async with monitor_db.get_session() as session:
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from api.monitor.settings import cookie_key, delete_setting
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await delete_setting(session, cookie_key("xhs"))
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due_at = get_current_timestamp() - MS_PER_MINUTE
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task_id = await _make_task(due_at)
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await MonitorScheduler().tick()
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assert executed == []
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task = await _get_task(task_id)
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# Left due so it starts working the moment a cookie is pasted.
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assert task.next_run_at == due_at
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class TestRecovery:
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@pytest.mark.asyncio
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async def test_running_runs_are_marked_interrupted(self, db):
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"""A run left 'running' cannot be alive -- its process died with the server."""
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async with monitor_db.get_session() as session:
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now = get_current_timestamp()
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task = MonitorTask(
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name="t", platform="xhs", mode=MODE_CREATOR, enabled=True,
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interval_minutes=60, max_notes_count=20, enable_comments=True,
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max_comments_count=50, run_timeout_seconds=3600,
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next_run_at=now, last_status="running", created_at=now, updated_at=now,
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)
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session.add(task)
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await session.flush()
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session.add(
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MonitorRun(
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task_id=task.id, trigger="scheduled", status=RUN_RUNNING,
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phase=MODE_CREATOR, save_data_path="", queued_at=now, not_before=0,
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started_at=now, max_comments_count=50,
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)
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)
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await MonitorScheduler().recover()
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async with monitor_db.get_session() as session:
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run = await session.scalar(select(MonitorRun))
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assert run.status == RUN_INTERRUPTED
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assert run.finished_at is not None
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@pytest.mark.asyncio
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async def test_pending_runs_are_also_cleaned_up(self, db):
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"""挂在 ``pending`` 的 run 同样是残留,必须一起收。
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那一行是上一轮建的,可它后面的采集根本没机会开始(进程被重启,或采集那条路抛了
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异常)。只清 ``running`` 的话,它会永远挂在界面上显示「排队中」——
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用户看到的就是任务卡死了。
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"""
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async with monitor_db.get_session() as session:
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now = get_current_timestamp()
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task = MonitorTask(
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name="t", platform="dy", mode=MODE_CREATOR, enabled=True,
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interval_minutes=60, max_notes_count=20, enable_comments=False,
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max_comments_count=50, run_timeout_seconds=3600,
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next_run_at=now, last_status="pending", created_at=now, updated_at=now,
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)
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session.add(task)
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await session.flush()
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session.add(
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MonitorRun(
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task_id=task.id, trigger="manual", status=RUN_PENDING,
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phase=MODE_CREATOR, save_data_path="", queued_at=now, not_before=0,
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max_comments_count=50,
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)
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)
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await MonitorScheduler().recover()
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async with monitor_db.get_session() as session:
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run = await session.scalar(select(MonitorRun))
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assert run.status == RUN_INTERRUPTED
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assert run.finished_at is not None
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@pytest.mark.asyncio
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async def test_completed_runs_are_left_alone(self, db):
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async with monitor_db.get_session() as session:
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now = get_current_timestamp()
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task = MonitorTask(
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name="t", platform="xhs", mode=MODE_CREATOR, enabled=True,
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interval_minutes=60, max_notes_count=20, enable_comments=True,
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max_comments_count=50, run_timeout_seconds=3600,
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next_run_at=now, last_status="success", created_at=now, updated_at=now,
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)
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session.add(task)
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await session.flush()
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session.add(
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MonitorRun(
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task_id=task.id, trigger="scheduled", status=RUN_SUCCESS,
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phase=MODE_CREATOR, save_data_path="", queued_at=now, not_before=0,
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started_at=now, finished_at=now, max_comments_count=50,
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)
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)
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await MonitorScheduler().recover()
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async with monitor_db.get_session() as session:
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run = await session.scalar(select(MonitorRun))
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assert run.status == RUN_SUCCESS
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