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