"""Tests for GPU simulator (--gpu flag) using dbgpu database."""

import pytest

from whichllm.constants import _GiB
from whichllm.hardware.gpu_simulator import (
    create_synthetic_gpu,
    create_synthetic_gpus,
    parse_synthetic_gpu_specs,
)


class TestMultiGPUSpecParsing:
    def test_comma_separated_gpu_specs(self):
        assert parse_synthetic_gpu_specs(["RTX 4090, RTX 3090"]) == [
            "RTX 4090",
            "RTX 3090",
        ]

    def test_repeated_gpu_specs(self):
        assert parse_synthetic_gpu_specs(["RTX 4090", "RTX 3090"]) == [
            "RTX 4090",
            "RTX 3090",
        ]

    def test_count_shorthand(self):
        assert parse_synthetic_gpu_specs(["2x RTX 4090, 1x RTX 3090"]) == [
            "RTX 4090",
            "RTX 4090",
            "RTX 3090",
        ]

    def test_empty_entry_raises(self):
        with pytest.raises(ValueError, match="Empty GPU entry"):
            parse_synthetic_gpu_specs(["RTX 4090,"])

    def test_create_synthetic_gpus_expands_count(self):
        gpus = create_synthetic_gpus(["2x RTX 4090"])
        assert len(gpus) == 2
        assert all(gpu.vendor == "nvidia" for gpu in gpus)
        assert all(gpu.vram_bytes == 24 * _GiB for gpu in gpus)

    def test_multi_gpu_vram_override_is_rejected(self):
        with pytest.raises(ValueError, match="exactly one simulated GPU"):
            create_synthetic_gpus(["2x RTX 4090"], vram_override_gb=24)


class TestKnownGPULookup:
    def test_nvidia_rtx_4090(self):
        gpu = create_synthetic_gpu("RTX 4090")
        assert gpu.vram_bytes == 24 * _GiB
        assert gpu.vendor == "nvidia"
        assert gpu.memory_bandwidth_gbps is not None
        assert gpu.compute_capability is not None
        assert gpu.compute_capability[0] >= 8
        assert "(simulated)" in gpu.name

    def test_nvidia_rtx_3060(self):
        gpu = create_synthetic_gpu("RTX 3060")
        assert "RTX 3060" in gpu.name
        assert "Ti" not in gpu.name  # Should NOT match RTX 3060 Ti
        assert gpu.vendor == "nvidia"
        assert gpu.compute_capability is not None

    def test_nvidia_rtx_3060_ti(self):
        gpu = create_synthetic_gpu("RTX 3060 Ti")
        assert "RTX 3060 Ti" in gpu.name
        assert gpu.vram_bytes == 8 * _GiB
        assert gpu.vendor == "nvidia"

    def test_amd_rx_7900_xtx(self):
        gpu = create_synthetic_gpu("RX 7900 XTX")
        assert gpu.vram_bytes == 24 * _GiB
        assert gpu.vendor == "amd"
        assert gpu.memory_bandwidth_gbps is not None

    def test_amd_strix_halo_with_vram_override(self):
        gpu = create_synthetic_gpu("Radeon 8060S", vram_override_gb=96)
        assert gpu.vram_bytes == 96 * _GiB
        assert gpu.vendor == "amd"
        assert gpu.shared_memory is True
        assert gpu.memory_bandwidth_gbps == 256.0

    def test_nvidia_gtx_1080(self):
        gpu = create_synthetic_gpu("GTX 1080")
        assert gpu.vram_bytes == 8 * _GiB
        assert gpu.vendor == "nvidia"
        assert gpu.compute_capability == (6, 1)

    def test_a100_80gb_alias(self):
        gpu = create_synthetic_gpu("A100 80GB")
        assert gpu.vram_bytes == 80 * _GiB
        assert gpu.vendor == "nvidia"
        assert "(simulated)" in gpu.name

    def test_h100_80gb_alias(self):
        gpu = create_synthetic_gpu("H100 80GB")
        assert gpu.vram_bytes == 80 * _GiB
        assert gpu.vendor == "nvidia"
        assert "(simulated)" in gpu.name

    def test_intel_arc_pro_b70_curated_spec(self):
        gpu = create_synthetic_gpu("Arc Pro B70")
        assert gpu.name == "Intel Arc Pro B70 (simulated)"
        assert gpu.vram_bytes == 32 * _GiB
        assert gpu.vendor == "intel"
        assert gpu.memory_bandwidth_gbps == 608.0
        assert gpu.shared_memory is False


class TestAppleSiliconAliases:
    @pytest.mark.parametrize(
        "chip",
        [
            "M1",
            "M1 Max",
            "M1 Ultra",
            "M2",
            "M2 Max",
            "M2 Ultra",
            "M3",
            "M3 Max",
            "M3 Ultra",
            "M4",
            "M4 Max",
            "M4 Ultra",
        ],
    )
    def test_apple_prefixed_alias_matches_plain_chip_name(self, chip):
        plain = create_synthetic_gpu(chip)
        prefixed = create_synthetic_gpu(f"Apple {chip}")

        assert prefixed.name == plain.name
        assert prefixed.vendor == "apple"
        assert prefixed.vram_bytes == plain.vram_bytes
        assert prefixed.memory_bandwidth_gbps == plain.memory_bandwidth_gbps

    @pytest.mark.parametrize("chip", ["M1", "M2 Max", "M3 Ultra", "M4 Pro"])
    def test_apple_silicon_has_shared_memory(self, chip):
        gpu = create_synthetic_gpu(chip)
        assert gpu.shared_memory is True


class TestVRAMOverride:
    def test_override_known_gpu(self):
        gpu = create_synthetic_gpu("RTX 4060 Ti", vram_override_gb=16)
        assert gpu.vram_bytes == 16 * _GiB
        assert gpu.memory_bandwidth_gbps is not None

    def test_override_unknown_gpu(self):
        gpu = create_synthetic_gpu("Nonexistent GPU 9999", vram_override_gb=48)
        assert gpu.vram_bytes == 48 * _GiB
        assert "(simulated)" in gpu.name


class TestUnknownGPU:
    def test_unknown_without_vram_raises(self):
        with pytest.raises(ValueError, match="Unknown GPU"):
            create_synthetic_gpu("Nonexistent GPU 9999")

    def test_unknown_with_vram_succeeds(self):
        gpu = create_synthetic_gpu("Nonexistent GPU 9999", vram_override_gb=24)
        assert gpu.vram_bytes == 24 * _GiB


class TestFuzzySearch:
    def test_partial_name(self):
        """dbgpu fuzzy search should find GPU from partial name."""
        gpu = create_synthetic_gpu("GTX 1080")
        assert "1080" in gpu.name
        assert gpu.vendor == "nvidia"