"""GLB 部件重命名：按查看器标签定位节点，写回 .glb，并同步故障↔部件映射表。

- 标签规则与前端一致（three.js createUniqueName：同名按出现次序 ``_1``、``_2``…），
  直接复用 ``tools/remove_nodes.viewer_labels``。
- 名称强制全局唯一（不得与其它任何节点的原始名重复），避免产生后缀歧义。
- 改名会导致其后同名部件的标签整体前移，故同时生成 旧label→新label 映射，
  并调用 ``fault_map_service.remap_parts`` 同步 ``data/fault_part_map.csv``。
"""

import os
import sys
import threading

from config import MODULE_DIR
from services import fault_map_service, model_service

_TOOLS_DIR = MODULE_DIR / "tools"
if str(_TOOLS_DIR) not in sys.path:
    sys.path.insert(0, str(_TOOLS_DIR))

from remove_nodes import viewer_labels  # noqa: E402
from split_glb import read_glb, write_glb  # noqa: E402

_lock = threading.Lock()


def rename_part(model: str, label: str, new_name: str) -> dict:
    new_name = (new_name or "").strip()
    if not new_name:
        raise ValueError("名称不能为空")
    if "#" in new_name:
        raise ValueError("名称不能包含 #")
    path = model_service.resolve_model(model)
    if path is None:
        raise FileNotFoundError("模型不存在")
    if path.suffix.lower() != ".glb":
        raise ValueError("仅支持 .glb 模型")

    with _lock:
        gltf, bin_data = read_glb(str(path))
        old_labels = viewer_labels(gltf)
        targets = [i for i, value in old_labels.items() if value == label]
        if len(targets) != 1:
            raise LookupError(f"部件标签未唯一匹配：{label}")
        index = targets[0]

        for j, node in enumerate(gltf["nodes"]):
            if j == index:
                continue
            if (node.get("name") or "") == new_name:
                raise ValueError(f"名称已存在：{new_name}")

        gltf["nodes"][index]["name"] = new_name
        new_labels = viewer_labels(gltf)
        mapping = {
            old_labels[i]: new_labels[i]
            for i in old_labels
            if old_labels[i] != new_labels[i]
        }

        tmp = str(path) + ".tmp"
        write_glb(tmp, gltf, bin_data)
        os.replace(tmp, path)

    remapped = fault_map_service.remap_parts(model, mapping)
    return {
        "node_index": index,
        "old_label": label,
        "new_label": new_labels[index],
        "mapping": mapping,
        "remapped_rows": remapped,
    }