474 lines
16 KiB
Python
474 lines
16 KiB
Python
import importlib.util
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import sys
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import tempfile
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import threading
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import time
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import unittest
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from pathlib import Path
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from types import ModuleType, SimpleNamespace
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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_server_module():
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server_directory = PROJECT_ROOT / "src" / "snapform" / "server"
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specification = importlib.util.spec_from_file_location(
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"server", server_directory / "__init__.py",
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submodule_search_locations=[str(server_directory)],
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)
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module = importlib.util.module_from_spec(specification)
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sys.modules["server"] = module
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specification.loader.exec_module(module)
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return module
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class FakeCuda:
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class OutOfMemoryError(RuntimeError):
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pass
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@staticmethod
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def is_available():
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return False
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@staticmethod
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def empty_cache():
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return None
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class ServerTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.server_module = load_server_module()
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def setUp(self):
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self.jobs_temp = tempfile.TemporaryDirectory()
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self.addCleanup(self.jobs_temp.cleanup)
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self.storage_root = Path(self.jobs_temp.name)
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def test_required_model_download_skips_ready_model(self):
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manager = self.server_module.ModelManager(Path("."))
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downloads = []
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context = SimpleNamespace(progress=lambda *_args: None)
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with patch.object(
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manager,
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"ready",
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side_effect=lambda key: key == "BEN2_BASE",
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), patch.object(
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manager,
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"_download",
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side_effect=lambda _context, key, _progress: downloads.append(key),
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):
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result = manager.download_missing(
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context,
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("MOGE2_VITS_NORMAL", "BEN2_BASE"),
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)
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self.assertEqual(downloads, ["MOGE2_VITS_NORMAL"])
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self.assertEqual(result, {"downloaded": ["MOGE2_VITS_NORMAL"]})
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def test_models_are_owned_by_the_server_resource(self):
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self.assertFalse((PROJECT_ROOT / "src" / "snapform" / "models.py").exists())
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with tempfile.TemporaryDirectory() as directory:
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manager = self.server_module.ModelManager(Path(directory))
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snapshot = manager.snapshot()
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self.assertEqual(
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snapshot,
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{"loaded": {"ben2": "", "da3": "", "moge2": ""}},
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)
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self.assertIn("server.model_catalog", sys.modules)
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self.assertNotIn("model_catalog", sys.modules)
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def create_cache(self):
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cache = self.server_module.ModelSessionCache.__new__(
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self.server_module.ModelSessionCache
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)
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cache.ben2_model = None
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cache.ben2_key = None
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cache.da3_model = None
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cache.da3_key = None
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cache.moge_model = None
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cache.moge_key = None
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return cache
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def create_server(self):
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source = self.server_module.server
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server = self.server_module.JobServer(
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"SnapForm Job Server", storage_root=self.storage_root
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)
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server.handlers.update(source.handlers)
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server.resource_factories.update(source.resource_factories)
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server.bind(self.storage_root)
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return server
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def wait_for_job(self, context, timeout=2.0):
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deadline = time.monotonic() + timeout
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while time.monotonic() < deadline:
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if context._snapshot()["state"] in {"succeeded", "failed", "cancelled"}:
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return context._snapshot()
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time.sleep(0.01)
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self.fail(f"Job did not finish: {context._snapshot()}")
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def test_ben2_model_is_reused_for_matching_runtime_key(self):
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loads = []
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ben2 = ModuleType("server.models.onnx_ben2")
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ben2.create_session = lambda model_dir, device: (
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loads.append((model_dir, device)) or object()
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)
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cache = self.create_cache()
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device = SimpleNamespace(type="cuda")
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with patch.dict(sys.modules, {"server.models.onnx_ben2": ben2}):
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first, _load_ms = cache.get_ben2("model", device)
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second, cached_load_ms = cache.get_ben2("model", device)
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self.assertIs(first, second)
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self.assertEqual(loads, [("model", "cuda")])
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self.assertEqual(cache.snapshot()["ben2"], "model")
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self.assertEqual(cached_load_ms, 0.0)
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def test_da3_model_is_reused_for_matching_runtime_key(self):
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loads = []
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da3 = ModuleType("server.models.onnx_da3")
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da3.create_session = lambda model_dir, device: (
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loads.append((model_dir, device)) or object()
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)
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cache = self.create_cache()
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device = SimpleNamespace(type="cuda")
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with patch.dict(
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sys.modules,
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{
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"server.models.onnx_da3": da3,
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},
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):
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first = cache.get_da3("model", device)
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second = cache.get_da3("model", device)
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self.assertIs(first, second)
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self.assertEqual(loads, [("model", "cuda")])
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self.assertEqual(cache.snapshot()["da3"], "model")
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def test_depth_model_cache_keeps_only_da3_or_moge(self):
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cache = self.create_cache()
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cache.ben2_model = object()
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cache.ben2_key = ("ben2", "cuda")
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cache.moge_model = object()
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cache.moge_key = ("moge", "cuda")
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device = SimpleNamespace(type="cuda")
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da3 = object()
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def load_da3(_model_dir, _device, key):
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cache.da3_model = da3
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cache.da3_key = key
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return da3
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with patch.object(cache, "_load_da3", side_effect=load_da3):
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self.assertIs(cache.get_da3("da3", device), da3)
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self.assertIsNone(cache.moge_model)
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self.assertIsNotNone(cache.ben2_model)
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moge = object()
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fake_moge = ModuleType("server.models.onnx_moge2")
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fake_moge.create_session = lambda _model_dir, _device: moge
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with patch.dict(sys.modules, {"server.models.onnx_moge2": fake_moge}):
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self.assertIs(cache.get_moge2("moge", "cuda"), moge)
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self.assertIsNone(cache.da3_model)
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self.assertIsNotNone(cache.ben2_model)
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def test_dedicated_server_runs_only_one_job_at_a_time(self):
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server = self.server_module.JobServer("Test", storage_root=self.storage_root)
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first_started = threading.Event()
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release_first = threading.Event()
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order = []
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@server.job("example")
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def example(_context, parameters):
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order.append(parameters["name"])
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if parameters["name"] == "first":
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first_started.set()
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release_first.wait(1.0)
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first = server.submit("example", {"name": "first"}, job_id="job")
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self.assertTrue(first_started.wait(1.0))
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second = server.submit("example", {"name": "second"}, job_id="other")
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self.assertIsNotNone(first)
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self.assertIsNotNone(second)
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self.assertTrue(server.snapshot("instance")["busy"])
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self.assertEqual(server.snapshot("instance")["queued_jobs"], 1)
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self.assertNotIn("clients", server.snapshot("instance"))
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release_first.set()
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self.wait_for_job(first)
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self.wait_for_job(second)
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self.assertEqual(order, ["first", "second"])
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server.close()
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def test_server_registers_tasks_instead_of_model_names(self):
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server = self.create_server()
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self.assertEqual(
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set(server.handlers),
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{
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"download-model",
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"download-required-models",
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"refine-balloon",
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"remove-background",
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"extract-frames",
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"generate-depth",
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"generate-surface",
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"debug-da3",
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"debug-moge2",
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"debug-ben2",
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},
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)
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def test_queued_job_can_be_cancelled_before_it_runs(self):
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server = self.server_module.JobServer("Test", storage_root=self.storage_root)
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first_started = threading.Event()
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release_first = threading.Event()
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executed = []
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@server.job("example")
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def example(_context, parameters):
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executed.append(parameters["name"])
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if parameters["name"] == "first":
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first_started.set()
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release_first.wait(1.0)
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first = server.submit("example", {"name": "first"})
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self.assertTrue(first_started.wait(1.0))
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second = server.submit("example", {"name": "second"})
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self.assertIs(server.cancel(second.job_id), second)
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release_first.set()
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self.wait_for_job(first)
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second_status = self.wait_for_job(second)
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self.assertEqual(second_status["state"], "cancelled")
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self.assertEqual(executed, ["first"])
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server.close()
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def test_cancelling_job_keeps_server_and_model_cache_alive(self):
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fake_models = SimpleNamespace(
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snapshot=lambda: {
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"loaded": {"ben2": "BEN2_BASE", "da3": ""}
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},
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clear=lambda: None,
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close=lambda: None,
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)
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with patch.object(
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self.server_module, "ModelManager", return_value=fake_models
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):
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server = self.create_server()
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started = threading.Event()
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@server.job("cancellable")
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def cancellable(context, _parameters):
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started.set()
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while not context._is_cancelled():
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time.sleep(0.001)
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context.check_cancelled()
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context = server.submit("cancellable", {}, job_id="job")
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self.assertTrue(started.wait(1.0))
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self.assertIsNotNone(server.cancel("job"))
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self.assertTrue(context._is_cancelled())
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status = self.wait_for_job(context)
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self.assertEqual(status["state"], "cancelled")
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self.assertFalse(server.shutdown_event.is_set())
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self.assertEqual(
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server.snapshot("instance")["resources"]["model_manager"]["loaded"]["ben2"],
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"BEN2_BASE",
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)
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def test_job_progress_is_kept_in_server_memory(self):
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server = self.server_module.JobServer(
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"Test", storage_root=self.storage_root
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)
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@server.job("example")
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def example(context, _parameters):
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context.progress(0.5, "Half way")
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context = server.submit("example", {})
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self.wait_for_job(context)
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self.assertRegex(context.job_id, r"^[0-9a-f]{32}$")
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self.assertEqual(context.directory.name, context.job_id)
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self.assertEqual(context._snapshot()["state"], "succeeded")
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self.assertEqual(context._snapshot()["progress"], 1.0)
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def test_runtime_storage_root_owns_the_jobs_directory(self):
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storage_root = self.storage_root
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server = self.server_module.JobServer("Test")
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server.bind(storage_root)
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@server.job("example")
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def example(_context, _parameters):
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return {"value": 42}
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context = server.submit("example", {})
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self.wait_for_job(context)
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self.assertEqual(server.jobs_directory, storage_root / "jobs")
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self.assertEqual(context.storage_root, storage_root.resolve())
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self.assertEqual(context._snapshot()["result"], {"value": 42})
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def test_job_server_owns_and_clears_shared_resources(self):
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events = []
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resource = SimpleNamespace(
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snapshot=lambda: {"loaded": "model"},
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clear=lambda: events.append("clear"),
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close=lambda: events.append("close"),
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)
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server = self.server_module.JobServer(
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"Test", storage_root=self.storage_root
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)
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server.add_resource("model_manager", resource)
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@server.job("example")
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def example(context, _parameters):
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self.assertIs(context.resource("model_manager"), resource)
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release.wait(1.0)
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release = threading.Event()
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context = server.submit("example", {}, job_id="job")
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self.assertFalse(server.clear_resource("model_manager"))
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release.set()
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self.wait_for_job(context)
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self.assertTrue(server.clear_resource("model_manager"))
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server.close()
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self.assertEqual(
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server.snapshot("instance")["resources"]["model_manager"]["loaded"],
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"model",
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)
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self.assertEqual(events, ["clear", "close"])
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def test_server_dispatches_frame_extraction_without_models(self):
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fake_models = SimpleNamespace(
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snapshot=lambda: {"loaded": {"ben2": "", "da3": ""}},
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clear=lambda: None,
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close=lambda: None,
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)
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with patch.object(
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self.server_module, "ModelManager", return_value=fake_models
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):
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server = self.create_server()
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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input_directory = root / "frames"
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input_directory.mkdir()
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(input_directory / "frame-0001.jpg").touch()
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(input_directory / "frame-0002.jpg").touch()
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context = server.submit(
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"extract-frames",
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{
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"input": str(input_directory),
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"video_frames": 16,
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"start_frame": 1,
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},
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job_id="job",
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)
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status = self.wait_for_job(context)
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self.assertTrue(
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(context.directory / "color.0001.jpg").is_file()
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)
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self.assertEqual(status["state"], "succeeded")
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def test_balloon_lasso_input_crops_and_clears_outside_rgba(self):
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import numpy as np
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from PIL import Image
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balloon = sys.modules["server.jobs.balloon"]
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with tempfile.TemporaryDirectory() as directory:
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root = Path(directory)
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source_path = root / "source.png"
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output_path = root / "lasso.png"
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pixels = np.full((6, 6, 4), (20, 40, 60, 255), dtype=np.uint8)
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pixels[1, 1, 3] = 64
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Image.fromarray(pixels, mode="RGBA").save(source_path)
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_path, _selection, origin = balloon.create_lasso_input(
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source_path,
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((1, 1), (5, 1), (1, 5)),
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output_path,
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)
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result = np.asarray(Image.open(output_path).convert("RGBA"))
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self.assertEqual(origin, (1, 1))
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self.assertEqual(result.shape, (4, 4, 4))
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self.assertEqual(tuple(result[0, 0]), (20, 40, 60, 64))
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self.assertEqual(tuple(result[3, 3]), (0, 0, 0, 0))
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def test_balloon_job_sends_the_masked_crop_to_ben2(self):
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import numpy as np
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from PIL import Image
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balloon = sys.modules["server.jobs.balloon"]
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source_path = self.storage_root / "source.png"
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pixels = np.full((6, 6, 4), (20, 40, 60, 255), dtype=np.uint8)
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Image.fromarray(pixels, mode="RGBA").save(source_path)
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job_directory = self.storage_root / "job"
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context = SimpleNamespace(
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directory=job_directory,
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progress=lambda *_args: None,
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check_cancelled=lambda: None,
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resource=lambda _name: SimpleNamespace(
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directory=lambda _model: self.storage_root / "model"
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),
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)
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received = []
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def infer(input_path, *_args, **_kwargs):
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image = Image.open(input_path).convert("RGBA")
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received.append(np.asarray(image))
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return image, 0.0, 1.0
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with patch.object(balloon, "infer_foreground", side_effect=infer):
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result = balloon.run(
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context,
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{
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"input": str(source_path),
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"polygon": ((1, 1), (5, 1), (1, 5)),
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"model": "BEN2_BASE",
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"device": "cpu",
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},
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)
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self.assertEqual(result, {"contour": "contour.json"})
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self.assertEqual(tuple(received[0][3, 3]), (0, 0, 0, 0))
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self.assertTrue((job_directory / "lasso-input.png").is_file())
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self.assertTrue((job_directory / "foreground.png").is_file())
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self.assertTrue((job_directory / "contour.json").is_file())
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def test_balloon_contour_uses_alpha_above_half_and_largest_component(self):
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import numpy as np
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balloon = sys.modules["server.jobs.balloon"]
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alpha = np.zeros((6, 7), dtype=np.uint8)
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alpha[0, 0] = 255
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alpha[1:4, 2:5] = 128
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alpha[1, 1] = 127
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selection_mask = np.ones_like(alpha, dtype=bool)
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contour = balloon.contour_from_alpha(
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alpha,
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selection_mask,
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origin=(10, 20),
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)
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self.assertEqual(
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set(map(tuple, contour)),
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{(12, 21), (15, 21), (15, 24), (12, 24)},
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)
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if __name__ == "__main__":
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unittest.main()
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