Files
hot_comment_radar/tests/integration/test_failure_tolerance.py
T

105 lines
4.5 KiB
Python

from sqlalchemy.orm import Session
from app.models import ContentItem, Task
from app.platforms.base import PlatformAPIError
from app.schemas import CreateTaskRequest
from app.services.task_service import create_task, run_task
from tests.helpers import make_test_client
class FailingHotspotPlatform:
def fetch_hotspots(self, *, limit):
raise PlatformAPIError("hotspot failed", error_type="api_error", status_code=500)
class OneFailedOneSuccessfulItemPlatform:
def fetch_hotspots(self, *, limit):
from app.platforms.base import HotspotData
return [HotspotData(source_hot_id="h1", title="热点一", rank=1)]
def search_items_by_hotspot(self, keyword, *, limit):
from app.platforms.base import ContentItemData
return [
ContentItemData(source_item_id="bad-item", item_type="video", title="失败内容"),
ContentItemData(source_item_id="good-item", item_type="video", title="成功内容"),
]
def fetch_comments(self, source_item_id, *, limit):
from app.platforms.base import CommentData
if source_item_id == "bad-item":
raise PlatformAPIError("comments failed", error_type="rate_limited", status_code=429)
return [CommentData(source_comment_id="c1", content="继续成功")]
def test_hotspot_failure_marks_task_failed(monkeypatch):
with make_test_client() as (_client, engine):
monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: FailingHotspotPlatform())
with Session(engine) as session:
task = create_task(
session,
CreateTaskRequest(platform="douyin", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10),
submit_background=False,
)
task_id = task.id
run_task(task_id, session_factory=lambda: session)
task = session.get(type(task), task_id)
assert task.status == "failed"
assert task.error_stage == "crawl_hotspots"
assert task.error_type == "api_error"
def test_unexpected_task_exception_marks_task_failed(monkeypatch):
def raise_unexpected_error(_platform):
raise RuntimeError("boom")
with make_test_client() as (_client, engine):
monkeypatch.setattr("app.services.task_service.build_platform", raise_unexpected_error)
with Session(engine) as session:
task = create_task(
session,
CreateTaskRequest(platform="douyin", hotspot_limit=1, item_limit_per_hotspot=1, comment_limit_per_item=10),
submit_background=False,
)
task_id = task.id
run_task(task_id, session_factory=lambda: session)
task = session.get(type(task), task_id)
assert task.status == "failed"
assert task.error_stage == "system"
assert task.error_type == "unexpected_error"
assert task.error_message == "boom"
def test_failed_content_item_is_recorded_and_following_item_continues(monkeypatch):
with make_test_client() as (_client, engine):
monkeypatch.setattr("app.services.task_service.build_platform", lambda _platform: OneFailedOneSuccessfulItemPlatform())
monkeypatch.setattr("app.services.task_service.build_ai_dependencies", lambda: (lambda _prompt: "[]", None))
monkeypatch.setattr("app.services.ai_service.time.sleep", lambda _seconds: None)
with Session(engine) as session:
task = create_task(
session,
CreateTaskRequest(platform="douyin", hotspot_limit=1, item_limit_per_hotspot=2, comment_limit_per_item=10),
submit_background=False,
)
task_id = task.id
run_task(task_id, session_factory=lambda: session)
persisted = session.get(Task, task_id)
failed_item = session.query(ContentItem).filter_by(task_id=task_id, source_item_id="bad-item").one()
successful_item = session.query(ContentItem).filter_by(task_id=task_id, source_item_id="good-item").one()
assert persisted.status == "success"
assert persisted.total_items_count == 2
assert persisted.processed_items_count == 2
assert persisted.successful_items_count == 1
assert persisted.failed_items_count == 1
assert failed_item.status == "failed"
assert failed_item.error_stage == "crawl_comments"
assert failed_item.error_type == "rate_limited"
assert successful_item.status == "success"