#!/usr/bin/env python3
"""HF / 本地同构 — NLP 64× AIG 网表元数据 + LUT 特征地址（纯 Python，无 Rust 模拟器）。"""
from __future__ import annotations

import json
from pathlib import Path
from typing import Any

from tools.chip_distilled_router import routing_feature_address


def _manifest_path(root: Path) -> Path:
    for rel in (
        "artifacts/nlp_array_64x.manifest.json",
        "artifacts/nlp_array_64x.master.aig.manifest.json",
    ):
        p = root / rel
        if p.is_file():
            return p
    return root / "artifacts/nlp_array_64x.manifest.json"


def aig_cloud_stats(root: Path | None = None) -> dict[str, Any]:
    """读取 AIG manifest + 确认 LUT 路由同构（云端 cpu-basic 可跑）。"""
    base = root or Path(__file__).resolve().parents[1]
    manifest_p = _manifest_path(base)
    out: dict[str, Any] = {
        "mode": "combinational_lut_aig_meta",
        "manifest_present": manifest_p.is_file(),
        "manifest_path": str(manifest_p.name),
    }
    if manifest_p.is_file():
        try:
            meta = json.loads(manifest_p.read_text(encoding="utf-8"))
            out["manifest"] = {
                k: meta[k]
                for k in (
                    "version",
                    "tiles",
                    "total_logical_cores",
                    "master_and_gates",
                    "tensor_bus_width",
                    "interconnect",
                )
                if k in meta
            }
        except (json.JSONDecodeError, OSError) as exc:
            out["manifest_error"] = str(exc)

    aig = base / "artifacts/nlp_array_64x.aig"
    master = base / "artifacts/nlp_array_64x.master.aig"
    out["aig_present"] = aig.is_file()
    out["master_aig_present"] = master.is_file()
    if aig.is_file():
        out["aig_bytes"] = aig.stat().st_size
    if master.is_file():
        out["master_aig_bytes"] = master.stat().st_size

    lut = base / "artifacts/offline_distill/query_intent_lut.json"
    out["lut_present"] = lut.is_file()
    return out


def route_with_aig_context(text: str, root: Path | None = None) -> dict[str, Any]:
    """LUT 路由 + AIG 网表上下文（HF /v1/route/full 与本地 MCP 共用）。"""
    from tools.chip_lut_engine import route_tensor

    base = root or Path(__file__).resolve().parents[1]
    addr = routing_feature_address(text)
    lut = route_tensor(text)
    stats = aig_cloud_stats(base)
    payload = lut.to_dict() if hasattr(lut, "to_dict") else {
        "opcode": lut.opcode,
        "opcode_index": lut.opcode_index,
        "intent_id": lut.intent_id,
        "intent_name": lut.intent_name,
        "feature_address": lut.feature_address,
        "diagnostic": lut.diagnostic,
    }
    return {
        **payload,
        "feature_address_hex": f"0x{addr:04x}",
        "aig": stats,
        "compute_note": "Op-Code from 16-bit LUT collapse; AIG bundle is combinational reference (no GPU).",
    }