Files
voculinux/tests/test_whispercpp_model_info_ext.py
T
Jatin K MalikandGitHub e0ac5e409c feat(whisper): add guided whisper.cpp model variants (#465)
* feat(whisper): refine whisper.cpp model selection

* refactor(whisper): exclude diarization model from picker

* docs(whisper): document guided model variants

* fix(ui): cap settings dialog height at 600px to prevent excessive height on high-res displays
2026-06-11 22:22:43 -07:00

744 lines
28 KiB
Python

"""
Comprehensive coverage tests for whispercpp_model_info module.
Tests all functions and constants in the module.
"""
import subprocess
import unittest
from unittest.mock import MagicMock, patch
class TestComputeBackendClass(unittest.TestCase):
"""Test cases for ComputeBackend class."""
def test_compute_backend_has_vulkan_constant(self):
"""Test that ComputeBackend has VULKAN constant."""
from vocalinux.utils.whispercpp_model_info import ComputeBackend
self.assertTrue(hasattr(ComputeBackend, "VULKAN"))
self.assertEqual(ComputeBackend.VULKAN, "vulkan")
def test_compute_backend_has_cuda_constant(self):
"""Test that ComputeBackend has CUDA constant."""
from vocalinux.utils.whispercpp_model_info import ComputeBackend
self.assertTrue(hasattr(ComputeBackend, "CUDA"))
self.assertEqual(ComputeBackend.CUDA, "cuda")
def test_compute_backend_has_cpu_constant(self):
"""Test that ComputeBackend has CPU constant."""
from vocalinux.utils.whispercpp_model_info import ComputeBackend
self.assertTrue(hasattr(ComputeBackend, "CPU"))
self.assertEqual(ComputeBackend.CPU, "cpu")
class TestModelInfo(unittest.TestCase):
"""Test cases for model information constants."""
def test_whispercpp_model_info_exists(self):
"""Test that WHISPERCPP_MODEL_INFO is defined."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIsInstance(WHISPERCPP_MODEL_INFO, dict)
self.assertGreater(len(WHISPERCPP_MODEL_INFO), 0)
def test_whispercpp_model_info_contains_tiny(self):
"""Test that WHISPERCPP_MODEL_INFO contains tiny model."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("tiny", WHISPERCPP_MODEL_INFO)
def test_whispercpp_model_info_contains_base(self):
"""Test that WHISPERCPP_MODEL_INFO contains base model."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("base", WHISPERCPP_MODEL_INFO)
def test_whispercpp_model_info_contains_small(self):
"""Test that WHISPERCPP_MODEL_INFO contains small model."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("small", WHISPERCPP_MODEL_INFO)
def test_whispercpp_model_info_contains_medium(self):
"""Test that WHISPERCPP_MODEL_INFO contains medium model."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("medium", WHISPERCPP_MODEL_INFO)
def test_whispercpp_model_info_contains_large(self):
"""Test that WHISPERCPP_MODEL_INFO contains large model."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("large", WHISPERCPP_MODEL_INFO)
def test_whispercpp_model_info_contains_large_v3_turbo(self):
"""Test that WHISPERCPP_MODEL_INFO contains large-v3-turbo model."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("large-v3-turbo", WHISPERCPP_MODEL_INFO)
def test_model_info_has_size_mb(self):
"""Test that each model has size_mb field."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
for model_name, model_info in WHISPERCPP_MODEL_INFO.items():
self.assertIn("size_mb", model_info, f"{model_name} missing size_mb")
self.assertIsInstance(model_info["size_mb"], int)
self.assertGreater(model_info["size_mb"], 0)
def test_model_info_has_params(self):
"""Test that each model has params field."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
for model_name, model_info in WHISPERCPP_MODEL_INFO.items():
self.assertIn("params", model_info, f"{model_name} missing params")
self.assertIsInstance(model_info["params"], str)
def test_model_info_has_desc(self):
"""Test that each model has desc field."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
for model_name, model_info in WHISPERCPP_MODEL_INFO.items():
self.assertIn("desc", model_info, f"{model_name} missing desc")
self.assertIsInstance(model_info["desc"], str)
def test_model_info_has_url(self):
"""Test that each model has url field."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
for model_name, model_info in WHISPERCPP_MODEL_INFO.items():
self.assertIn("url", model_info, f"{model_name} missing url")
self.assertIsInstance(model_info["url"], str)
self.assertTrue(model_info["url"].startswith("https://"))
def test_available_models_list_exists(self):
"""Test that AVAILABLE_MODELS list exists."""
from vocalinux.utils.whispercpp_model_info import AVAILABLE_MODELS
self.assertIsInstance(AVAILABLE_MODELS, list)
self.assertGreater(len(AVAILABLE_MODELS), 0)
def test_available_models_contains_all_models(self):
"""Test that AVAILABLE_MODELS contains all defined models."""
from vocalinux.utils.whispercpp_model_info import (
AVAILABLE_MODELS,
WHISPERCPP_MODEL_INFO,
)
self.assertEqual(set(AVAILABLE_MODELS), set(WHISPERCPP_MODEL_INFO.keys()))
def test_available_models_tracks_upstream_dictation_models(self):
"""Test that AVAILABLE_MODELS covers upstream dictation models."""
from vocalinux.utils.whispercpp_model_info import AVAILABLE_MODELS
expected_models = [
"tiny",
"tiny.en",
"tiny-q5_1",
"tiny.en-q5_1",
"tiny-q8_0",
"base",
"base.en",
"base-q5_1",
"base.en-q5_1",
"base-q8_0",
"small",
"small.en",
"small-q5_1",
"small.en-q5_1",
"small-q8_0",
"medium",
"medium.en",
"medium-q5_0",
"medium.en-q5_0",
"medium-q8_0",
"large-v1",
"large-v2",
"large-v2-q5_0",
"large-v2-q8_0",
"large", # Vocalinux alias for upstream large-v3
"large-v3-q5_0",
"large-v3-turbo",
"large-v3-turbo-q5_0",
"large-v3-turbo-q8_0",
]
self.assertEqual(AVAILABLE_MODELS, expected_models)
def test_model_sizes_group_whispercpp_variants_for_ui(self):
"""Test that whisper.cpp models are grouped into size buckets."""
from vocalinux.utils.whispercpp_model_info import (
MODEL_SIZES,
MODEL_VARIANTS_BY_SIZE,
WHISPERCPP_MODEL_INFO,
)
self.assertEqual(MODEL_SIZES, ["tiny", "base", "small", "medium", "large"])
self.assertEqual(MODEL_VARIANTS_BY_SIZE["medium"][0], "medium")
self.assertIn("medium.en-q5_0", MODEL_VARIANTS_BY_SIZE["medium"])
self.assertIn("large-v3-turbo-q8_0", MODEL_VARIANTS_BY_SIZE["large"])
self.assertNotIn("small.en-tdrz", MODEL_VARIANTS_BY_SIZE["small"])
grouped_models = {
model_name for variants in MODEL_VARIANTS_BY_SIZE.values() for model_name in variants
}
self.assertEqual(grouped_models, set(WHISPERCPP_MODEL_INFO.keys()))
self.assertFalse(
any(model_name.endswith("-tdrz") for model_name in grouped_models),
"TinyDiarize needs diarization-specific runtime support, not the base dictation picker",
)
def test_model_variant_helpers_identify_size_and_english_only_variants(self):
"""Test helpers that drive the split whisper.cpp model selectors."""
from vocalinux.utils.whispercpp_model_info import (
get_model_size,
get_model_variants,
is_english_only_model,
)
self.assertEqual(get_model_size("medium.en-q5_0"), "medium")
self.assertEqual(get_model_size("large-v3-turbo-q8_0"), "large")
self.assertTrue(is_english_only_model("tiny.en-q5_1"))
self.assertFalse(is_english_only_model("large-v3-turbo"))
class TestDetectVulkanSupport(unittest.TestCase):
"""Test cases for detect_vulkan_support function."""
def test_detect_vulkan_support_returns_tuple(self):
"""Test that detect_vulkan_support returns a tuple."""
from vocalinux.utils.whispercpp_model_info import detect_vulkan_support
result = detect_vulkan_support()
self.assertIsInstance(result, tuple)
self.assertEqual(len(result), 2)
def test_detect_vulkan_support_when_available(self):
"""Test Vulkan detection when vulkaninfo is available."""
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(returncode=0, stdout="deviceName: Intel Arc\n")
from vocalinux.utils.whispercpp_model_info import detect_vulkan_support
is_available, device_name = detect_vulkan_support()
self.assertTrue(is_available)
self.assertIsNotNone(device_name)
def test_detect_vulkan_support_when_unavailable(self):
"""Test Vulkan detection when vulkaninfo is not available."""
with patch("subprocess.run") as mock_run:
mock_run.side_effect = FileNotFoundError("vulkaninfo not found")
from vocalinux.utils.whispercpp_model_info import detect_vulkan_support
is_available, device_name = detect_vulkan_support()
self.assertFalse(is_available)
self.assertIsNone(device_name)
def test_detect_vulkan_support_on_timeout(self):
"""Test Vulkan detection when command times out."""
with patch("subprocess.run") as mock_run:
mock_run.side_effect = subprocess.TimeoutExpired("vulkaninfo", 5)
from vocalinux.utils.whispercpp_model_info import detect_vulkan_support
is_available, device_name = detect_vulkan_support()
self.assertFalse(is_available)
self.assertIsNone(device_name)
def test_detect_vulkan_support_on_error(self):
"""Test Vulkan detection when command returns error."""
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(returncode=1, stdout="")
from vocalinux.utils.whispercpp_model_info import detect_vulkan_support
is_available, device_name = detect_vulkan_support()
self.assertFalse(is_available)
self.assertIsNone(device_name)
class TestDetectCudaSupport(unittest.TestCase):
"""Test cases for detect_cuda_support function."""
def test_detect_cuda_support_returns_tuple(self):
"""Test that detect_cuda_support returns a tuple."""
from vocalinux.utils.whispercpp_model_info import detect_cuda_support
result = detect_cuda_support()
self.assertIsInstance(result, tuple)
self.assertEqual(len(result), 2)
def test_detect_cuda_support_when_available(self):
"""Test CUDA detection when nvidia-smi is available."""
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(returncode=0, stdout="NVIDIA RTX 3080, 10240 MiB\n")
from vocalinux.utils.whispercpp_model_info import detect_cuda_support
is_available, device_info = detect_cuda_support()
self.assertTrue(is_available)
self.assertIsNotNone(device_info)
self.assertIn("RTX 3080", device_info)
def test_detect_cuda_support_when_unavailable(self):
"""Test CUDA detection when nvidia-smi is not available."""
with patch("subprocess.run") as mock_run:
mock_run.side_effect = FileNotFoundError("nvidia-smi not found")
from vocalinux.utils.whispercpp_model_info import detect_cuda_support
is_available, device_info = detect_cuda_support()
self.assertFalse(is_available)
self.assertIsNone(device_info)
def test_detect_cuda_support_on_timeout(self):
"""Test CUDA detection when command times out."""
with patch("subprocess.run") as mock_run:
mock_run.side_effect = subprocess.TimeoutExpired("nvidia-smi", 5)
from vocalinux.utils.whispercpp_model_info import detect_cuda_support
is_available, device_info = detect_cuda_support()
self.assertFalse(is_available)
self.assertIsNone(device_info)
class TestDetectCPUInfo(unittest.TestCase):
"""Test cases for detect_cpu_info function."""
def test_detect_cpu_info_returns_string(self):
"""Test that detect_cpu_info returns a string."""
from vocalinux.utils.whispercpp_model_info import detect_cpu_info
result = detect_cpu_info()
self.assertIsInstance(result, str)
self.assertGreater(len(result), 0)
def test_detect_cpu_info_from_proc_cpuinfo(self):
"""Test CPU detection from /proc/cpuinfo."""
cpu_info_content = "model name : Intel(R) Core(TM) i7-10700K CPU @ 3.80GHz\n"
with patch("builtins.open", create=True) as mock_open:
mock_open.return_value.__enter__.return_value = iter([cpu_info_content])
from vocalinux.utils.whispercpp_model_info import detect_cpu_info
result = detect_cpu_info()
self.assertIsInstance(result, str)
self.assertGreater(len(result), 0)
def test_detect_cpu_info_fallback_to_nproc(self):
"""Test CPU detection falls back to nproc."""
with (
patch("builtins.open", create=True, side_effect=Exception("No /proc/cpuinfo")),
patch("subprocess.run") as mock_run,
):
mock_run.return_value = MagicMock(returncode=0, stdout="8\n")
from vocalinux.utils.whispercpp_model_info import detect_cpu_info
result = detect_cpu_info()
self.assertIsInstance(result, str)
def test_detect_cpu_info_default_fallback(self):
"""Test CPU detection returns default when all methods fail."""
with (
patch("builtins.open", create=True, side_effect=Exception()),
patch("subprocess.run", side_effect=Exception()),
):
from vocalinux.utils.whispercpp_model_info import detect_cpu_info
result = detect_cpu_info()
self.assertEqual(result, "CPU")
class TestDetectComputeBackend(unittest.TestCase):
"""Test cases for detect_compute_backend function."""
def test_detect_compute_backend_returns_tuple(self):
"""Test that detect_compute_backend returns a tuple."""
from vocalinux.utils.whispercpp_model_info import detect_compute_backend
result = detect_compute_backend()
self.assertIsInstance(result, tuple)
self.assertEqual(len(result), 2)
def test_detect_compute_backend_prefers_vulkan(self):
"""Test that detect_compute_backend prefers Vulkan."""
with (
patch("vocalinux.utils.whispercpp_model_info.detect_vulkan_support") as mock_vulkan,
patch("vocalinux.utils.whispercpp_model_info.detect_cuda_support") as mock_cuda,
):
mock_vulkan.return_value = (True, "Intel Arc GPU")
mock_cuda.return_value = (True, "NVIDIA RTX 3080 (10GB)")
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
detect_compute_backend,
)
backend, info = detect_compute_backend()
self.assertEqual(backend, ComputeBackend.VULKAN)
def test_detect_compute_backend_falls_back_to_cuda(self):
"""Test that detect_compute_backend falls back to CUDA."""
with (
patch("vocalinux.utils.whispercpp_model_info.detect_vulkan_support") as mock_vulkan,
patch("vocalinux.utils.whispercpp_model_info.detect_cuda_support") as mock_cuda,
):
mock_vulkan.return_value = (False, None)
mock_cuda.return_value = (True, "NVIDIA RTX 3080 (10GB)")
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
detect_compute_backend,
)
backend, info = detect_compute_backend()
self.assertEqual(backend, ComputeBackend.CUDA)
def test_detect_compute_backend_falls_back_to_cpu(self):
"""Test that detect_compute_backend falls back to CPU."""
with (
patch("vocalinux.utils.whispercpp_model_info.detect_vulkan_support") as mock_vulkan,
patch("vocalinux.utils.whispercpp_model_info.detect_cuda_support") as mock_cuda,
patch("vocalinux.utils.whispercpp_model_info.detect_cpu_info") as mock_cpu,
):
mock_vulkan.return_value = (False, None)
mock_cuda.return_value = (False, None)
mock_cpu.return_value = "Intel Core i7"
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
detect_compute_backend,
)
backend, info = detect_compute_backend()
self.assertEqual(backend, ComputeBackend.CPU)
class TestGetRecommendedModel(unittest.TestCase):
"""Test cases for get_recommended_model function."""
def test_get_recommended_model_returns_tuple(self):
"""Test that get_recommended_model returns a tuple."""
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=8 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend",
return_value=("cpu", "Intel Core i7"),
):
import importlib
import vocalinux.utils.whispercpp_model_info as mod
importlib.reload(mod)
result = mod.get_recommended_model()
self.assertIsInstance(result, tuple)
self.assertEqual(len(result), 2)
def test_get_recommended_model_with_vulkan_high_ram(self):
"""Test model recommendation with Vulkan and 8GB+ RAM."""
import sys
# Create a mock psutil module
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=8 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend"
) as mock_backend:
mock_backend.return_value = ("vulkan", "Intel Arc A770")
from vocalinux.utils.whispercpp_model_info import get_recommended_model
model, reason = get_recommended_model()
self.assertEqual(model, "small")
def test_get_recommended_model_with_cuda_high_vram(self):
"""Test model recommendation with CUDA and high VRAM."""
import sys
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=16 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend"
) as mock_backend:
mock_backend.return_value = ("cuda", "NVIDIA RTX 4090 (24GB)")
from vocalinux.utils.whispercpp_model_info import get_recommended_model
model, reason = get_recommended_model()
# High VRAM should recommend medium or higher
self.assertIn(model, ["medium", "large", "small"])
def test_get_recommended_model_with_cpu_high_ram(self):
"""Test model recommendation with CPU and 16GB+ RAM."""
import sys
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=16 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend"
) as mock_backend:
mock_backend.return_value = ("cpu", "Intel Core i7")
from vocalinux.utils.whispercpp_model_info import get_recommended_model
model, reason = get_recommended_model()
self.assertEqual(model, "base")
def test_get_recommended_model_with_cpu_medium_ram(self):
"""Test model recommendation with CPU and 8GB RAM."""
import sys
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=8 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend"
) as mock_backend:
mock_backend.return_value = ("cpu", "AMD Ryzen 5")
from vocalinux.utils.whispercpp_model_info import get_recommended_model
model, reason = get_recommended_model()
self.assertEqual(model, "tiny")
def test_get_recommended_model_with_cpu_low_ram(self):
"""Test model recommendation with CPU and 4GB RAM."""
import sys
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=4 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend"
) as mock_backend:
mock_backend.return_value = ("cpu", "Intel Atom")
from vocalinux.utils.whispercpp_model_info import get_recommended_model
model, reason = get_recommended_model()
self.assertEqual(model, "tiny")
def test_get_recommended_model_returns_valid_model_name(self):
"""Test that get_recommended_model returns a valid model name."""
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=8 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend",
return_value=("cpu", "Intel Core i7"),
):
import importlib
import vocalinux.utils.whispercpp_model_info as mod
importlib.reload(mod)
model, reason = mod.get_recommended_model()
self.assertIn(model, mod.AVAILABLE_MODELS)
def test_get_recommended_model_returns_reason_string(self):
"""Test that get_recommended_model returns a reason string."""
mock_psutil = MagicMock()
mock_psutil.virtual_memory.return_value = MagicMock(total=8 * (1024**3))
with patch.dict("sys.modules", {"psutil": mock_psutil}):
with patch(
"vocalinux.utils.whispercpp_model_info.detect_compute_backend",
return_value=("cpu", "Intel Core i7"),
):
import importlib
import vocalinux.utils.whispercpp_model_info as mod
importlib.reload(mod)
model, reason = mod.get_recommended_model()
self.assertIsInstance(reason, str)
self.assertGreater(len(reason), 0)
class TestGetModelPath(unittest.TestCase):
"""Test cases for get_model_path function."""
def test_get_model_path_returns_string(self):
"""Test that get_model_path returns a string."""
from vocalinux.utils.whispercpp_model_info import get_model_path
result = get_model_path("tiny")
self.assertIsInstance(result, str)
self.assertGreater(len(result), 0)
def test_get_model_path_tiny(self):
"""Test get_model_path for tiny model."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("tiny")
self.assertIn("ggml-tiny.bin", path)
def test_get_model_path_base(self):
"""Test get_model_path for base model."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("base")
self.assertIn("ggml-base.bin", path)
def test_get_model_path_small(self):
"""Test get_model_path for small model."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("small")
self.assertIn("ggml-small.bin", path)
def test_get_model_path_medium(self):
"""Test get_model_path for medium model."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("medium")
self.assertIn("ggml-medium.bin", path)
def test_get_model_path_large_uses_v3(self):
"""Test get_model_path for large model uses v3 variant."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("large")
self.assertIn("ggml-large-v3.bin", path)
def test_large_model_url_uses_v3(self):
"""Test large model metadata points to upstream large-v3."""
from vocalinux.utils.whispercpp_model_info import WHISPERCPP_MODEL_INFO
self.assertIn("ggml-large-v3.bin", WHISPERCPP_MODEL_INFO["large"]["url"])
def test_get_model_path_large_v3_turbo(self):
"""Test get_model_path for large-v3-turbo model."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("large-v3-turbo")
self.assertIn("ggml-large-v3-turbo.bin", path)
def test_get_model_path_quantized_model(self):
"""Test get_model_path for quantized model."""
from vocalinux.utils.whispercpp_model_info import get_model_path
path = get_model_path("large-v3-turbo-q5_0")
self.assertIn("ggml-large-v3-turbo-q5_0.bin", path)
class TestIsModelDownloaded(unittest.TestCase):
"""Test cases for is_model_downloaded function."""
def test_is_model_downloaded_returns_bool(self):
"""Test that is_model_downloaded returns a boolean."""
from vocalinux.utils.whispercpp_model_info import is_model_downloaded
result = is_model_downloaded("tiny")
self.assertIsInstance(result, bool)
def test_is_model_downloaded_when_exists(self):
"""Test is_model_downloaded when model file exists."""
with patch("os.path.exists", return_value=True):
from vocalinux.utils.whispercpp_model_info import is_model_downloaded
result = is_model_downloaded("base")
self.assertTrue(result)
def test_is_model_downloaded_when_not_exists(self):
"""Test is_model_downloaded when model file does not exist."""
with patch("os.path.exists", return_value=False):
from vocalinux.utils.whispercpp_model_info import is_model_downloaded
result = is_model_downloaded("base")
self.assertFalse(result)
class TestGetBackendDisplayName(unittest.TestCase):
"""Test cases for get_backend_display_name function."""
def test_get_backend_display_name_returns_string(self):
"""Test that get_backend_display_name returns a string."""
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
get_backend_display_name,
)
result = get_backend_display_name(ComputeBackend.CPU)
self.assertIsInstance(result, str)
self.assertGreater(len(result), 0)
def test_get_backend_display_name_vulkan(self):
"""Test display name for Vulkan backend."""
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
get_backend_display_name,
)
result = get_backend_display_name(ComputeBackend.VULKAN)
self.assertEqual(result, "Vulkan GPU")
def test_get_backend_display_name_cuda(self):
"""Test display name for CUDA backend."""
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
get_backend_display_name,
)
result = get_backend_display_name(ComputeBackend.CUDA)
self.assertEqual(result, "NVIDIA CUDA")
def test_get_backend_display_name_cpu(self):
"""Test display name for CPU backend."""
from vocalinux.utils.whispercpp_model_info import (
ComputeBackend,
get_backend_display_name,
)
result = get_backend_display_name(ComputeBackend.CPU)
self.assertEqual(result, "CPU")
def test_get_backend_display_name_unknown(self):
"""Test display name for unknown backend."""
from vocalinux.utils.whispercpp_model_info import get_backend_display_name
result = get_backend_display_name("rocm")
self.assertEqual(result, "ROCM")
if __name__ == "__main__":
unittest.main()