Files
Pre_Seg_Server/backend/tests/test_tasks.py
admin c8c59f7ede feat: 完善分割工作区传播与交互闭环
功能增加:新增后端传播任务执行器,支持异步自动传播、传播进度、结果统计、取消/重试状态同步。

功能增加:传播请求支持指定 SAM2.1 tiny/small/base+/large 权重,并记录 seed mask、source annotation 和传播范围。

功能增加:传播逻辑增加 seed 签名,未变化的 mask 二次传播会跳过,已变化的 mask 会先清理旧自动传播结果再重新生成,避免重复重叠。

功能增加:工作区增加传播范围二次选择、传播进度提示、人工/AI 标注帧红色标识、自动传播帧蓝色标识和当前帧双层边框。

功能增加:新增临时提示组件,让工具操作提示自动消失且不阻塞后续操作。

功能增加:补充项目删除、模板删除、任务失败详情、任务取消/重试等前后端联动状态。

功能增加:新增安装部署文档,补充当前需求冻结、设计冻结、接口契约、测试计划和 AGENTS/README 项目说明。

Bugfix:修复自动传播接口 404、传播后看不到任务进度、传播结果重复堆叠和已编辑帧提示不清晰的问题。

Bugfix:修复 AI 分割框选/点选交互、单候选 mask、删除选点、工作区保存与候选 mask 推送相关问题。

Bugfix:修复 Canvas 多边形顶点拖动告警、工具栏提示缺失、项目库 FPS 展示和若干 UI 文案/可用性问题。

测试:补充 AI 分割、Canvas、Dashboard、FrameTimeline、ProjectLibrary、TemplateRegistry、ToolsPalette、VideoWorkspace、API 和后端任务/AI/dashboard 测试。

验证:npm run lint;npm run test:run;python -m pytest backend/tests -q。
2026-05-02 05:17:18 +08:00

141 lines
4.8 KiB
Python

from models import ProcessingTask
def test_cancel_task_revokes_celery_and_updates_project(client, db_session, monkeypatch):
project = client.post("/api/projects", json={
"name": "Cancelable",
"video_path": "uploads/1/clip.mp4",
"status": "parsing",
}).json()
task = ProcessingTask(
task_type="parse_video",
status="running",
progress=35,
message="正在使用 FFmpeg/OpenCV 拆帧",
project_id=project["id"],
celery_task_id="celery-1",
payload={"source_type": "video"},
)
db_session.add(task)
db_session.commit()
db_session.refresh(task)
revoked = []
published = []
monkeypatch.setattr(
"routers.tasks.celery_app.control.revoke",
lambda celery_id, terminate, signal: revoked.append((celery_id, terminate, signal)),
)
monkeypatch.setattr("routers.tasks.publish_task_progress_event", lambda event_task: published.append(event_task.status))
response = client.post(f"/api/tasks/{task.id}/cancel")
assert response.status_code == 200
body = response.json()
assert body["status"] == "cancelled"
assert body["progress"] == 100
assert body["message"] == "任务已取消"
assert body["error"] == "Cancelled by user"
assert revoked == [("celery-1", True, "SIGTERM")]
assert published == ["cancelled"]
assert client.get(f"/api/projects/{project['id']}").json()["status"] == "pending"
def test_retry_task_creates_fresh_parse_task(client, db_session, monkeypatch):
project = client.post("/api/projects", json={
"name": "Retryable",
"video_path": "uploads/2/clip.mp4",
"source_type": "video",
"status": "error",
}).json()
task = ProcessingTask(
task_type="parse_video",
status="failed",
progress=100,
message="解析失败",
error="ffmpeg failed",
project_id=project["id"],
payload={"source_type": "video"},
)
db_session.add(task)
db_session.commit()
db_session.refresh(task)
class FakeAsyncResult:
id = "celery-retry"
queued = []
published = []
monkeypatch.setattr("routers.tasks.parse_project_media.delay", lambda task_id: queued.append(task_id) or FakeAsyncResult())
monkeypatch.setattr("routers.tasks.publish_task_progress_event", lambda event_task: published.append((event_task.id, event_task.status)))
response = client.post(f"/api/tasks/{task.id}/retry")
assert response.status_code == 202
body = response.json()
assert body["id"] != task.id
assert body["status"] == "queued"
assert body["progress"] == 0
assert body["celery_task_id"] == "celery-retry"
assert body["payload"]["retry_of"] == task.id
assert queued == [body["id"]]
assert published[0] == (body["id"], "queued")
assert published[-1] == (body["id"], "queued")
assert client.get(f"/api/projects/{project['id']}").json()["status"] == "parsing"
def test_retry_task_dispatches_propagation_worker_without_media_requirement(client, db_session, monkeypatch):
project = client.post("/api/projects", json={"name": "Retry Propagation"}).json()
task = ProcessingTask(
task_type="propagate_masks",
status="failed",
progress=100,
message="自动传播失败",
error="model unavailable",
project_id=project["id"],
payload={
"project_id": project["id"],
"frame_id": 1,
"steps": [],
},
)
db_session.add(task)
db_session.commit()
db_session.refresh(task)
class FakeAsyncResult:
id = "celery-propagation-retry"
queued = []
monkeypatch.setattr("routers.tasks.propagate_project_masks.delay", lambda task_id: queued.append(task_id) or FakeAsyncResult())
monkeypatch.setattr("routers.tasks.publish_task_progress_event", lambda event_task: None)
response = client.post(f"/api/tasks/{task.id}/retry")
assert response.status_code == 202
body = response.json()
assert body["task_type"] == "propagate_masks"
assert body["celery_task_id"] == "celery-propagation-retry"
assert queued == [body["id"]]
assert client.get(f"/api/projects/{project['id']}").json()["status"] == "pending"
def test_task_actions_reject_invalid_states(client, db_session):
project = client.post("/api/projects", json={
"name": "Done",
"video_path": "uploads/3/clip.mp4",
}).json()
task = ProcessingTask(
task_type="parse_video",
status="success",
progress=100,
project_id=project["id"],
payload={"source_type": "video"},
)
db_session.add(task)
db_session.commit()
db_session.refresh(task)
assert client.post(f"/api/tasks/{task.id}/cancel").status_code == 409
assert client.post(f"/api/tasks/{task.id}/retry").status_code == 409