Files
OpenJarvis/tests/hardware/test_hardware_profiles.py
T
Prathap PandGitHub c2756964a7 fix(channels): wire channel→agent handler and fix Telegram send pipeline (#94)
* fix(channels): wire channel→agent handler and fix Telegram send pipeline

* format code

* add supported tests
2026-03-20 18:35:18 -07:00

132 lines
4.6 KiB
Python

"""Tests for hardware detection, GPU vendor identification,
and engine recommendation."""
from __future__ import annotations
from unittest.mock import patch
from openjarvis.core.config import (
GpuInfo,
_detect_amd_gpu,
_detect_apple_gpu,
_detect_nvidia_gpu,
recommend_engine,
)
# ---------------------------------------------------------------------------
# Hardware detection
# ---------------------------------------------------------------------------
class TestDetectHardware:
"""Tests for the top-level detect_hardware() function."""
@patch("openjarvis.core.config.shutil.which", return_value="/usr/bin/nvidia-smi")
@patch(
"openjarvis.core.config._run_cmd",
return_value="NVIDIA A100-SXM4-80GB, 81920, 1",
)
def test_detect_nvidia_gpu(self, mock_run, mock_which):
gpu = _detect_nvidia_gpu()
assert gpu is not None
assert gpu.vendor == "nvidia"
assert "A100" in gpu.name
assert gpu.vram_gb == 80.0
assert gpu.count == 1
@patch("openjarvis.core.config.shutil.which", return_value="/usr/bin/rocm-smi")
@patch(
"openjarvis.core.config._run_cmd",
side_effect=[
"AMD Instinct MI300X", # --showproductname
"GPU[0] : vram Total Memory (B): 206158430208", # --showmeminfo vram
"GPU[0] : Some info", # --showallinfo
],
)
def test_detect_amd_gpu(self, mock_run, mock_which):
gpu = _detect_amd_gpu()
assert gpu is not None
assert gpu.vendor == "amd"
assert "MI300X" in gpu.name
@patch("openjarvis.core.config.platform.system", return_value="Darwin")
@patch(
"openjarvis.core.config._run_cmd",
return_value=(
"Graphics/Displays:\n"
" Apple M4 Max:\n"
" Chipset Model: Apple M4 Max\n"
" Type: GPU\n"
" Bus: Built-In\n"
),
)
def test_detect_apple_silicon(self, mock_run, mock_system):
gpu = _detect_apple_gpu()
assert gpu is not None
assert gpu.vendor == "apple"
assert "M4 Max" in gpu.name
@patch("openjarvis.core.config.shutil.which", return_value=None)
@patch("openjarvis.core.config.platform.system", return_value="Linux")
def test_detect_no_gpu(self, mock_system, mock_which):
"""All GPU detection methods return None when no GPU is present."""
assert _detect_nvidia_gpu() is None
assert _detect_amd_gpu() is None
assert _detect_apple_gpu() is None
# ---------------------------------------------------------------------------
# Engine recommendation
# ---------------------------------------------------------------------------
class TestRecommendEngine:
"""Tests for recommend_engine() logic across hardware profiles."""
def test_nvidia_datacenter_vllm(self, hardware_nvidia):
assert recommend_engine(hardware_nvidia) == "vllm"
def test_nvidia_consumer_ollama(self, hardware_nvidia_consumer):
assert recommend_engine(hardware_nvidia_consumer) == "ollama"
def test_amd_vllm(self, hardware_amd):
assert recommend_engine(hardware_amd) == "vllm"
def test_apple_mlx(self, hardware_apple):
assert recommend_engine(hardware_apple) == "mlx"
def test_cpu_only_llamacpp(self, hardware_cpu_only):
assert recommend_engine(hardware_cpu_only) == "llamacpp"
# ---------------------------------------------------------------------------
# Dataclass serialization / field access
# ---------------------------------------------------------------------------
class TestHardwareProfileSerialization:
"""Tests that dataclass fields are accessible and hold correct values."""
def test_gpu_info_fields(self, nvidia_gpu):
assert nvidia_gpu.vendor == "nvidia"
assert nvidia_gpu.name == "NVIDIA A100-SXM4-80GB"
assert nvidia_gpu.vram_gb == 80.0
assert nvidia_gpu.count == 1
def test_hardware_info_fields(self, hardware_nvidia):
assert hardware_nvidia.platform == "linux"
assert hardware_nvidia.cpu_brand == "AMD EPYC 7763"
assert hardware_nvidia.cpu_count == 64
assert hardware_nvidia.ram_gb == 512.0
assert hardware_nvidia.gpu is not None
def test_vram_sufficient_for_model(self):
"""Verify that VRAM capacity can be checked against a model requirement."""
gpu = GpuInfo(vendor="nvidia", name="NVIDIA A100", vram_gb=80.0, count=1)
model_requirement_gb = 40.0
assert gpu.vram_gb >= model_requirement_gb
small_gpu = GpuInfo(vendor="nvidia", name="RTX 3060", vram_gb=12.0, count=1)
large_model_gb = 70.0
assert small_gpu.vram_gb < large_model_gb