45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
import multiprocessing as mp
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from fastapi import APIRouter
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router = APIRouter()
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@router.get("/info")
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async def get_system_info():
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"""Return system info: CPU cores, GPU availability, parallel backend."""
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cpu_cores = mp.cpu_count() or 1
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# Check Ray
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ray_available = False
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ray_initialized = False
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try:
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from app.services.parallel_coverage_service import RAY_AVAILABLE
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ray_available = RAY_AVAILABLE
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if ray_available:
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import ray
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ray_initialized = ray.is_initialized()
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except Exception:
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pass
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# Check GPU via gpu_service
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from app.services.gpu_service import gpu_service
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gpu_info = gpu_service.get_info()
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# Determine parallel backend
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if ray_available:
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parallel_backend = "ray"
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elif cpu_cores > 1:
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parallel_backend = "process_pool"
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else:
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parallel_backend = "sequential"
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return {
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"cpu_cores": cpu_cores,
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"parallel_workers": min(cpu_cores, 14),
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"parallel_backend": parallel_backend,
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"ray_available": ray_available,
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"ray_initialized": ray_initialized,
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"gpu": gpu_info,
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"gpu_available": gpu_info.get("available", False),
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}
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