mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
add debugging statements and a timeout to download test
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parent
dd9daf8efb
commit
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@ -221,22 +221,29 @@ class DownloadQueueService(DownloadQueueServiceBase):
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except Empty:
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continue
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try:
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print(f'DEBUG: job [{job.id}] started', flush=True)
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job.job_started = get_iso_timestamp()
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self._do_download(job)
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print(f'DEBUG: job [{job.id}] download completed', flush=True)
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self._signal_job_complete(job)
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print(f'DEBUG: job [{job.id}] signaled completion', flush=True)
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except (OSError, HTTPError) as excp:
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job.error_type = excp.__class__.__name__ + f"({str(excp)})"
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job.error = traceback.format_exc()
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self._signal_job_error(job, excp)
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print(f'DEBUG: job [{job.id}] signaled error', flush=True)
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except DownloadJobCancelledException:
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self._signal_job_cancelled(job)
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self._cleanup_cancelled_job(job)
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print(f'DEBUG: job [{job.id}] signaled cancelled', flush=True)
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finally:
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print(f'DEBUG: job [{job.id}] signalling completion', flush=True)
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job.job_ended = get_iso_timestamp()
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self._job_completed_event.set() # signal a change to terminal state
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print(f'DEBUG: job [{job.id}] set job completion event', flush=True)
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self._queue.task_done()
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print(f'DEBUG: job [{job.id}] done', flush=True)
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self._logger.debug(f"Download queue worker thread {threading.current_thread().name} exiting.")
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def _do_download(self, job: DownloadJob) -> None:
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@ -244,7 +251,8 @@ class DownloadQueueService(DownloadQueueServiceBase):
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url = job.source
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header = {"Authorization": f"Bearer {job.access_token}"} if job.access_token else {}
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open_mode = "wb"
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print(f'DEBUG: In _do_download [0]', flush=True)
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# Make a streaming request. This will retrieve headers including
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# content-length and content-disposition, but not fetch any content itself
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resp = self._requests.get(str(url), headers=header, stream=True)
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@ -255,6 +263,8 @@ class DownloadQueueService(DownloadQueueServiceBase):
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content_length = int(resp.headers.get("content-length", 0))
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job.total_bytes = content_length
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print(f'DEBUG: In _do_download [1]')
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if job.dest.is_dir():
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file_name = os.path.basename(str(url.path)) # default is to use the last bit of the URL
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@ -282,6 +292,7 @@ class DownloadQueueService(DownloadQueueServiceBase):
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# signal caller that the download is starting. At this point, key fields such as
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# download_path and total_bytes will be populated. We call it here because the might
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# discover that the local file is already complete and generate a COMPLETED status.
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print(f'DEBUG: In _do_download [2]', flush=True)
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self._signal_job_started(job)
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# "range not satisfiable" - local file is at least as large as the remote file
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@ -297,12 +308,15 @@ class DownloadQueueService(DownloadQueueServiceBase):
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elif resp.status_code != 200:
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raise HTTPError(resp.reason)
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print(f'DEBUG: In _do_download [3]', flush=True)
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self._logger.debug(f"{job.source}: Downloading {job.download_path}")
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report_delta = job.total_bytes / 100 # report every 1% change
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last_report_bytes = 0
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# DOWNLOAD LOOP
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with open(in_progress_path, open_mode) as file:
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print(f'DEBUG: In _do_download loop [4]', flush=True)
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for data in resp.iter_content(chunk_size=DOWNLOAD_CHUNK_SIZE):
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if job.cancelled:
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raise DownloadJobCancelledException("Job was cancelled at caller's request")
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@ -315,6 +329,8 @@ class DownloadQueueService(DownloadQueueServiceBase):
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# if we get here we are done and can rename the file to the original dest
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self._logger.debug(f"{job.source}: saved to {job.download_path} (bytes={job.bytes})")
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in_progress_path.rename(job.download_path)
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print(f'DEBUG: In _do_download [5]', flush=True)
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def _validate_filename(self, directory: str, filename: str) -> bool:
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pc_name_max = os.pathconf(directory, "PC_NAME_MAX") if hasattr(os, "pathconf") else 260 # hardcoded for windows
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@ -284,7 +284,7 @@ class ModelInstallService(ModelInstallServiceBase):
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def scan_directory(self, scan_dir: Path, install: bool = False) -> List[str]: # noqa D102
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self._cached_model_paths = {Path(x.path) for x in self.record_store.all_models()}
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callback = self._scan_install if install else self._scan_register
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search = ModelSearch(on_model_found=callback)
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search = ModelSearch(on_model_found=callback, config=self._app_config)
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self._models_installed.clear()
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search.search(scan_dir)
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return list(self._models_installed)
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@ -118,6 +118,7 @@ dependencies = [
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"pre-commit",
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"pytest>6.0.0",
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"pytest-cov",
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"pytest-timeout",
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"pytest-datadir",
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"requests_testadapter",
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"httpx",
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@ -189,6 +190,7 @@ version = { attr = "invokeai.version.__version__" }
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addopts = "--cov-report term --cov-report html --cov-report xml --strict-markers -m \"not slow\""
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markers = [
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"slow: Marks tests as slow. Disabled by default. To run all tests, use -m \"\". To run only slow tests, use -m \"slow\".",
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"timeout: 60"
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]
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[tool.coverage.run]
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branch = true
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@ -1,6 +1,8 @@
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import os
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from pathlib import Path
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from typing import Any
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import pytest
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from fastapi import BackgroundTasks
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from fastapi.testclient import TestClient
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@ -9,7 +11,11 @@ from invokeai.app.api_app import app
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from invokeai.app.services.board_records.board_records_common import BoardRecord
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from invokeai.app.services.invoker import Invoker
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client = TestClient(app)
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@pytest.fixture(autouse=True, scope="module")
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def client(invokeai_root_dir: Path) -> TestClient:
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os.environ["INVOKEAI_ROOT"] = invokeai_root_dir.as_posix()
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return TestClient(app)
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class MockApiDependencies(ApiDependencies):
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@ -19,7 +25,7 @@ class MockApiDependencies(ApiDependencies):
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self.invoker = invoker
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def test_download_images_from_list(monkeypatch: Any, mock_invoker: Invoker) -> None:
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def test_download_images_from_list(monkeypatch: Any, mock_invoker: Invoker, client: TestClient) -> None:
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prepare_download_images_test(monkeypatch, mock_invoker)
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response = client.post("/api/v1/images/download", json={"image_names": ["test.png"]})
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@ -28,7 +34,9 @@ def test_download_images_from_list(monkeypatch: Any, mock_invoker: Invoker) -> N
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assert json_response["bulk_download_item_name"] == "test.zip"
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def test_download_images_from_board_id_empty_image_name_list(monkeypatch: Any, mock_invoker: Invoker) -> None:
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def test_download_images_from_board_id_empty_image_name_list(
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monkeypatch: Any, mock_invoker: Invoker, client: TestClient
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) -> None:
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expected_board_name = "test"
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def mock_get(*args, **kwargs):
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@ -56,7 +64,9 @@ def prepare_download_images_test(monkeypatch: Any, mock_invoker: Invoker) -> Non
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monkeypatch.setattr(BackgroundTasks, "add_task", mock_add_task)
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def test_download_images_with_empty_image_list_and_no_board_id(monkeypatch: Any, mock_invoker: Invoker) -> None:
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def test_download_images_with_empty_image_list_and_no_board_id(
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monkeypatch: Any, mock_invoker: Invoker, client: TestClient
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) -> None:
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prepare_download_images_test(monkeypatch, mock_invoker)
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response = client.post("/api/v1/images/download", json={"image_names": []})
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@ -64,7 +74,7 @@ def test_download_images_with_empty_image_list_and_no_board_id(monkeypatch: Any,
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assert response.status_code == 400
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def test_get_bulk_download_image(tmp_path: Path, monkeypatch: Any, mock_invoker: Invoker) -> None:
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def test_get_bulk_download_image(tmp_path: Path, monkeypatch: Any, mock_invoker: Invoker, client: TestClient) -> None:
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mock_file: Path = tmp_path / "test.zip"
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mock_file.write_text("contents")
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@ -82,7 +92,7 @@ def test_get_bulk_download_image(tmp_path: Path, monkeypatch: Any, mock_invoker:
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assert response.content == b"contents"
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def test_get_bulk_download_image_not_found(monkeypatch: Any, mock_invoker: Invoker) -> None:
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def test_get_bulk_download_image_not_found(monkeypatch: Any, mock_invoker: Invoker, client: TestClient) -> None:
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monkeypatch.setattr("invokeai.app.api.routers.images.ApiDependencies", MockApiDependencies(mock_invoker))
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def mock_add_task(*args, **kwargs):
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@ -96,7 +106,7 @@ def test_get_bulk_download_image_not_found(monkeypatch: Any, mock_invoker: Invok
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def test_get_bulk_download_image_image_deleted_after_response(
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monkeypatch: Any, mock_invoker: Invoker, tmp_path: Path
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monkeypatch: Any, mock_invoker: Invoker, tmp_path: Path, client: TestClient
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) -> None:
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mock_file: Path = tmp_path / "test.zip"
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mock_file.write_text("contents")
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@ -166,7 +166,7 @@ def test_broken_callbacks(tmp_path: Path, session: Session, capsys) -> None:
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# assert re.search("division by zero", captured.err)
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queue.stop()
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@pytest.mark.timeout(timeout=15, method="thread")
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def test_cancel(tmp_path: Path, session: Session) -> None:
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event_bus = TestEventService()
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@ -182,6 +182,9 @@ def test_cancel(tmp_path: Path, session: Session) -> None:
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nonlocal cancelled
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cancelled = True
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def handler(signum, frame):
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raise TimeoutError("Join took too long to return")
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job = queue.download(
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source=AnyHttpUrl("http://www.civitai.com/models/12345"),
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dest=tmp_path,
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@ -195,7 +195,7 @@ def test_delete_register(
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with pytest.raises(UnknownModelException):
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store.get_model(key)
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@pytest.mark.timeout(timeout=20, method="thread")
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def test_simple_download(mm2_installer: ModelInstallServiceBase, mm2_app_config: InvokeAIAppConfig) -> None:
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source = URLModelSource(url=Url("https://www.test.foo/download/test_embedding.safetensors"))
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@ -220,7 +220,7 @@ def test_simple_download(mm2_installer: ModelInstallServiceBase, mm2_app_config:
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event_names = [x.event_name for x in bus.events]
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assert event_names == ["model_install_downloading", "model_install_running", "model_install_completed"]
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@pytest.mark.timeout(timeout=20, method="thread")
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def test_huggingface_download(mm2_installer: ModelInstallServiceBase, mm2_app_config: InvokeAIAppConfig) -> None:
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source = URLModelSource(url=Url("https://huggingface.co/stabilityai/sdxl-turbo"))
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@ -5,6 +5,8 @@
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# We import the model_installer and torch_device fixtures here so that they can be used by all tests. Flake8 does not
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# play well with fixtures (F401 and F811), so this is cleaner than importing in all files that use these fixtures.
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import logging
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import shutil
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from pathlib import Path
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import pytest
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@ -58,3 +60,11 @@ def mock_services() -> InvocationServices:
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@pytest.fixture()
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def mock_invoker(mock_services: InvocationServices) -> Invoker:
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return Invoker(services=mock_services)
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@pytest.fixture(scope="module")
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def invokeai_root_dir(tmp_path_factory) -> Path:
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root_template = Path(__file__).parent.resolve() / "backend/model_manager/data/invokeai_root"
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temp_dir: Path = tmp_path_factory.mktemp("data") / "invokeai_root"
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shutil.copytree(root_template, temp_dir)
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return temp_dir
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