"""
关键点检索工具 - 根据输入的点在图数据库中查找所有关联的点

用于 Agent 执行时自主调取关联关键点数据。
"""

import json
import os
from pathlib import Path
from typing import Any, Dict, Optional

# 完整图数据库文件路径（包含 edges）
GRAPH_FULL_DATA_PATH = os.getenv(
    "GRAPH_FULL_DATA_PATH",
    # str(Path(__file__).parent.parent / "data/library/item_graph/item_graph_full_all_levels.json")
    str(Path(__file__).parent.parent / "data/library/item_graph/item_graph_full_max.json")
)

# 缓存图数据，避免重复加载
_graph_full_cache: Optional[Dict[str, Any]] = None


def _load_graph_full() -> Dict[str, Any]:
    """加载完整图数据（带缓存，包含 edges）"""
    global _graph_full_cache
    if _graph_full_cache is None:
        with open(GRAPH_FULL_DATA_PATH, 'r', encoding='utf-8') as f:
            _graph_full_cache = json.load(f)
    return _graph_full_cache

if __name__ == "__main__":
    graph = _load_graph_full()
    data = {
        "灵感点" :{
            "实质" : {},
            "形式" : {},
            "意图" : {}
        },
        "目的点" :{
            "实质" : {},
            "形式" : {},
            "意图" : {}
        },
        "关键点" :{
            "实质" : {},
            "形式" : {},
            "意图" : {}
        }
    }

    for class_path, value in graph.items():
        if class_path == '_post_ids_index':
            continue

        meta = value.get("meta", {})
        point_type = meta.get("point_type")
        dimension = meta.get("dimension")
        elements = meta.get("elements", {})

        if not point_type or not dimension:
            continue

        for element in elements.keys():
            data[point_type][dimension][element] = class_path

    # 输出到文件
    output_path = Path(__file__).parent.parent / "data/library/item_graph/item_graph_full_max_map.json"
    with open(output_path, 'w', encoding='utf-8') as f:
        json.dump(data, f, ensure_ascii=False, indent=2)

    print(f"数据已输出到: {output_path}")