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from __future__ import annotations

import json
from dataclasses import asdict, dataclass
from pathlib import Path
from typing import Any

__all__ = [
    "BenchmarkResult",
    "export_results",
    "import_results",
]


@dataclass
class BenchmarkResult:
    """Result of benchmarking a single kernel on a single shape."""

    kernel_name: str
    op_family: str
    op_mode: str
    solution: str
    dtype: str
    platform_arch: str
    shape_params: dict[str, Any]

    median_latency_us: float
    p90_latency_us: float
    p99_latency_us: float
    min_latency_us: float
    max_latency_us: float

    tflops: float | None = None
    bandwidth_gb_s: float | None = None

    numerics_passed: bool | None = None
    max_abs_diff: float | None = None
    max_rel_diff: float | None = None

    timestamp: str = ""
    num_iters: int = 0

    def to_dict(self) -> dict[str, Any]:
        return asdict(self)

    @classmethod
    def from_dict(cls, data: dict[str, Any]) -> "BenchmarkResult":
        return cls(**data)


def export_results(
    results: list[BenchmarkResult],
    path: str | Path,
) -> None:
    """Export benchmark results as JSON."""
    payload = [result.to_dict() for result in results]
    output_path = Path(path)
    output_path.parent.mkdir(parents=True, exist_ok=True)
    output_path.write_text(json.dumps(payload, indent=2, sort_keys=True))


def import_results(path: str | Path) -> list[BenchmarkResult]:
    """Import benchmark results from JSON."""
    input_path = Path(path)
    raw = json.loads(input_path.read_text())
    if not isinstance(raw, list):
        raise ValueError(f"Expected a list of benchmark results in {input_path}")
    return [BenchmarkResult.from_dict(item) for item in raw]