Files
AnyImage/tests/test_download_progress.py
nan 5255eb4e96 feat: Bump version to 0.11.0 and update dependencies
- Updated ONNX Runtime to 1.24.4 and replaced OpenCV with PyAV 17.0.0 in the installation environment.
- Enhanced model downloading logic to prioritize Hugging Face and fallback to OmooLab R2, with improved error handling and status reporting.
- Introduced a new environment revision file for shared metadata.
- Refactored video frame extraction to utilize the PyAV library instead of OpenCV.
- Improved installation process to handle retries across specified PyPI indexes.
- Added tests for download progress reporting and model downloading behavior.
2026-08-14 14:47:40 +08:00

221 lines
7.0 KiB
Python

import importlib.util
import json
import os
import tempfile
import unittest
from pathlib import Path
from unittest.mock import patch
PROJECT_ROOT = Path(__file__).resolve().parents[1]
def load_worker():
specification = importlib.util.spec_from_file_location(
"snapform_download_worker",
PROJECT_ROOT / "src" / "snapform" / "worker.py",
)
module = importlib.util.module_from_spec(specification)
specification.loader.exec_module(module)
return module
class FakeTqdm:
def __init__(self, *args, **kwargs):
self.n = kwargs.get("initial", 0)
self.total = kwargs.get("total", 0)
def update(self, amount=1):
self.n += amount
return True
def refresh(self, *args, **kwargs):
return True
class DownloadProgressTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.worker = load_worker()
def test_reports_aggregated_download_bytes(self):
with tempfile.TemporaryDirectory() as directory:
status_path = Path(directory) / "status.json"
progress_class = self.worker.create_download_progress_class(
status_path,
"owner/model",
tqdm_type=FakeTqdm,
clock=lambda: 1.0,
)
progress = progress_class(
desc="Downloading bytes",
total=100,
initial=0,
unit="B",
)
progress.update(25)
status = json.loads(status_path.read_text(encoding="utf-8"))
self.assertAlmostEqual(status["progress"], 0.275)
self.assertEqual(status["message"], "Downloading owner/model")
def test_reports_byte_progress_for_aggregated_bar_description(self):
# huggingface_hub 1.x 用 "Downloading (incomplete total...)" 作为字节进度条描述
with tempfile.TemporaryDirectory() as directory:
status_path = Path(directory) / "status.json"
progress_class = self.worker.create_download_progress_class(
status_path,
"owner/model",
tqdm_type=FakeTqdm,
clock=lambda: 1.0,
)
progress = progress_class(
desc="Downloading (incomplete total...)",
total=100,
initial=0,
unit="B",
)
progress.update(25)
status = json.loads(status_path.read_text(encoding="utf-8"))
self.assertAlmostEqual(status["progress"], 0.275)
self.assertEqual(status["message"], "Downloading owner/model")
def test_reports_download_speed(self):
class FakeTqdmWithRate(FakeTqdm):
@property
def format_dict(self):
return {"rate": 14_000_000}
with tempfile.TemporaryDirectory() as directory:
status_path = Path(directory) / "status.json"
progress_class = self.worker.create_download_progress_class(
status_path,
"owner/model",
tqdm_type=FakeTqdmWithRate,
clock=lambda: 1.0,
label="da3 small",
)
progress = progress_class(
desc="Downloading bytes",
total=100,
initial=0,
unit="B",
)
progress.update(50)
status = json.loads(status_path.read_text(encoding="utf-8"))
self.assertEqual(
status["message"],
"Downloading da3 small | 13.4 MB/s",
)
def test_reports_estimated_time_remaining(self):
times = iter((0.0, 10.0))
with tempfile.TemporaryDirectory() as directory:
status_path = Path(directory) / "status.json"
progress_class = self.worker.create_download_progress_class(
status_path,
"owner/model",
tqdm_type=FakeTqdm,
clock=lambda: next(times),
)
progress = progress_class(
desc="Downloading bytes",
total=100,
initial=0,
unit="B",
)
progress.update(50)
status = json.loads(status_path.read_text(encoding="utf-8"))
self.assertEqual(status["eta_seconds"], 10)
def test_staged_download_prefixes_speed_with_downloading(self):
class FakeTqdmWithRate(FakeTqdm):
@property
def format_dict(self):
return {"rate": 14_000_000}
with tempfile.TemporaryDirectory() as directory:
status_path = Path(directory) / "status.json"
progress_class = self.worker.create_download_progress_class(
status_path,
"owner/model",
tqdm_type=FakeTqdmWithRate,
clock=lambda: 1.0,
label="da3 small",
stage=6,
stages=8,
stage_label="da3 small",
)
progress = progress_class(
desc="Downloading bytes",
total=100,
initial=0,
unit="B",
)
progress.update(50)
status = json.loads(status_path.read_text(encoding="utf-8"))
self.assertEqual(
status["message"],
"Downloading packages | 13.4 MB/s",
)
self.assertEqual(status["stage"], 6)
self.assertEqual(status["stages"], 8)
self.assertEqual(status["stage_label"], "da3 small")
def test_ignores_unrelated_progress_bars(self):
with tempfile.TemporaryDirectory() as directory:
status_path = Path(directory) / "status.json"
progress_class = self.worker.create_download_progress_class(
status_path,
"owner/model",
tqdm_type=FakeTqdm,
clock=lambda: 1.0,
)
progress = progress_class(
desc="Reconstructing",
total=100,
initial=0,
unit="B",
)
progress.update(25)
self.assertFalse(status_path.exists())
def test_download_endpoints_uses_direct_endpoint(self):
with patch.dict(os.environ, {"HF_ENDPOINT": ""}):
endpoints = self.worker.download_endpoints()
self.assertEqual(
endpoints,
["https://huggingface.co"],
)
def test_download_endpoints_respects_environment_override(self):
with patch.dict(os.environ, {"HF_ENDPOINT": "https://hf.example"}):
endpoints = self.worker.download_endpoints()
self.assertEqual(
endpoints,
["https://hf.example"],
)
def test_download_endpoints_strips_trailing_slash(self):
with patch.dict(os.environ, {"HF_ENDPOINT": "https://hf.example/"}):
endpoints = self.worker.download_endpoints()
self.assertEqual(endpoints, ["https://hf.example"])
if __name__ == "__main__":
unittest.main()