CheckCardBoxAndDefectServer/app/api/config_api.py

import os.path

from fastapi import APIRouter, File, Body, HTTPException, status, Query
from fastapi.responses import FileResponse, JSONResponse
from ..core.config import settings
import datetime
import json
from app.core.logger import get_logger

logger = get_logger(__name__)

router = APIRouter(tags=["Config"])


def compare_json_structure(template: dict, data: dict, path: str = "") -> (bool, str):
    """
    递归比较两个字典的结构（键），忽略值。
    如果结构不匹配，返回 False 和错误原因。
    :param template: 模板字典（原始配置）
    :param data: 新的字典（待验证的配置）
    :param path: 用于错误报告的当前递归路径
    :return: 一个元组 (is_match: bool, reason: str)
    """
    template_keys = set(template.keys())
    data_keys = set(data.keys())

    # 检查当前层的键是否完全匹配
    if template_keys != data_keys:
        missing_keys = template_keys - data_keys
        extra_keys = data_keys - template_keys
        error_msg = f"结构不匹配。在路径 '{path or 'root'}' "
        if missing_keys:
            error_msg += f"缺少字段: {missing_keys}。"
        if extra_keys:
            error_msg += f"存在多余字段: {extra_keys}。"
        return False, error_msg

    # 递归检查所有子字典
    for key in template_keys:
        if isinstance(template[key], dict) and isinstance(data[key], dict):
            # 如果两个值都是字典，则递归深入
            is_match, reason = compare_json_structure(template[key], data[key], path=f"{path}.{key}" if path else key)
            if not is_match:
                return False, reason
        elif isinstance(template[key], dict) or isinstance(data[key], dict):
            # 如果只有一个是字典，说明结构已改变（例如，一个对象被替换成了字符串）
            current_path = f"{path}.{key}" if path else key
            return False, f"结构不匹配。字段 '{current_path}' 的类型已从字典变为非字典（或反之）。"

    return True, "结构匹配"


def validate_rule_ranges(data: dict, path: str = "") -> (bool, str):
    """
    递归检查配置中看起来像评分规则的列表。
    规则：
    1. 列表中的元素必须包含 min, max, deduction。
    2. 第一个元素的 min 必须为 0。
    3. 当前元素的 min 必须等于上一个元素的 max。
    """
    if isinstance(data, dict):
        for key, value in data.items():
            is_valid, error = validate_rule_ranges(value, path=f"{path}.{key}" if path else key)
            if not is_valid:
                return False, error

    elif isinstance(data, list):
        # 检查这是否是一个规则列表（通过检查第一个元素是否包含特定key）
        if len(data) > 0 and isinstance(data[0], dict) and "min" in data[0] and "max" in data[0] and "deduction" in \
                data[0]:
            current_path = path

            # 1. 检查首项 min 是否为 0
            first_min = data[0].get("min")
            if first_min != 0:
                return False, f"范围错误 [{current_path}]: 第一个区间的 min 必须为 0，当前为 {first_min}"

            # 2. 检查连续性
            prev_max = None
            for idx, rule in enumerate(data):
                current_min = rule.get("min")
                current_max = rule.get("max")

                # 处理 inf 字符串
                if current_max == "inf":
                    current_max_val = float("inf")
                else:
                    try:
                        current_max_val = float(current_max)
                    except (ValueError, TypeError):
                        return False, f"数值错误 [{current_path}]: max 值 '{current_max}' 无效"

                try:
                    current_min_val = float(current_min)
                except (ValueError, TypeError):
                    return False, f"数值错误 [{current_path}]: min 值 '{current_min}' 无效"

                # 检查连续性 (除了第一个元素)
                if idx > 0:
                    # 使用一个微小的容差处理浮点数比较，或者直接相等
                    if prev_max == "inf":
                        return False, f"逻辑错误 [{current_path}]: 'inf' 只能出现在最后一个区间的 max"

                    prev_max_val = float(prev_max) if prev_max != "inf" else float("inf")

                    if current_min_val != prev_max_val:
                        return False, f"不连续错误 [{current_path}]: 第 {idx + 1} 项的 min ({current_min}) 不等于上一项的 max ({prev_max})"

                prev_max = current_max

    return True, "验证通过"


@router.get("/scoring_config", summary="获取评分配置")
async def get_scoring_config():
    """
    读取并返回 scoring_config.json 文件的内容。
    """
    if not settings.SCORE_CONFIG_PATH.exists():
        logger.error(f"评分配置文件未找到: {settings.SCORE_CONFIG_PATH}")
        raise HTTPException(
            status_code=status.HTTP_404_NOT_FOUND,
            detail="评分配置文件未找到"
        )

    try:
        with open(settings.SCORE_CONFIG_PATH, 'r', encoding='utf-8') as f:
            config_data = json.load(f)
        return config_data
    except json.JSONDecodeError:
        logger.error(f"评分配置文件格式错误，无法解析: {settings.SCORE_CONFIG_PATH}")
        raise HTTPException(
            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
            detail="评分配置文件格式错误"
        )
    except Exception as e:
        logger.error(f"读取配置文件时发生未知错误: {e}")
        raise HTTPException(
            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
            detail=f"读取配置文件时发生未知错误: {e}"
        )


@router.put("/scoring_config", summary="更新评分配置")
async def update_scoring_config(new_config: dict = Body(...)):
    """
    接收新的JSON配置，验证结构一致性以及分值范围的连续性（min=prev_max）
    """
    # 1. 检查并读取当前的配置文件作为模板
    if not settings.SCORE_CONFIG_PATH.exists():
        # 如果文件不存在，可能无法进行结构对比，视情况处理，这里假设必须存在
        raise HTTPException(status_code=404, detail="原始配置文件未找到")

    try:
        with open(settings.SCORE_CONFIG_PATH, 'r', encoding='utf-8') as f:
            current_config = json.load(f)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"读取原始配置文件失败: {e}")

    # 2. 比较新旧配置的结构 (Key的一致性)
    is_structure_valid, struct_reason = compare_json_structure(current_config, new_config)

    if not is_structure_valid:
        logger.warning(f"结构校验警告: {struct_reason}")
        # raise HTTPException(status_code=400, detail=struct_reason)

    # 3. **验证数值范围的连续性**
    is_range_valid, range_reason = validate_rule_ranges(new_config)

    if not is_range_valid:
        logger.warning(f"数值范围校验失败: {range_reason}")
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
            detail=f"配置数值逻辑错误: {range_reason}"
        )

    # 4. 写入新文件
    try:
        with open(settings.SCORE_CONFIG_PATH, 'w', encoding='utf-8') as f:
            json.dump(new_config, f, indent=2, ensure_ascii=False)
        logger.info("评分配置文件已成功更新。")

        logger.info("保存备份")
        formatted_time = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
        backup_name = f"scors_backup_{formatted_time}.json"
        temp_path = os.path.join(settings.SCORE_BACKUP_PATH, backup_name)
        with open(temp_path, 'w', encoding='utf-8') as f:
            json.dump(new_config, f, indent=2, ensure_ascii=False)
        logger.info("配置备份结束")

        return JSONResponse(
            status_code=status.HTTP_200_OK,
            content={"message": "配置已成功更新"}
        )
    except Exception as e:
        logger.error(f"写入新配置文件时发生错误: {e}")
        raise HTTPException(
            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
            detail=f"保存新配置文件时发生错误: {e}"
        )


@router.get("/severity_names", summary="获取缺陷严重程度列表")
async def get_severity_names(defect_label: str = Query(..., description="缺陷标签，如 wear, damaged, stain")):
    """
    根据缺陷标签返回对应的严重程度列表。
    """
    if not settings.SCORE_CONFIG_PATH.exists():
        raise HTTPException(status_code=404, detail="评分配置文件未找到")

    try:
        with open(settings.SCORE_CONFIG_PATH, 'r', encoding='utf-8') as f:
            config = json.load(f)

        severity_config = config.get("severity_level", {})

        # 1. 定义映射关系：从 缺陷label 映射到 severity_level 的 key
        # 逻辑依据：参考 score_service 中将 label 转换为 rule key 的逻辑，再简化为 severity key
        # rule key -> severity key:
        # wear_area -> wear
        # loss_area -> loss
        # scratch_length -> scratch
        # pit_area -> pit
        # stain_area -> stain

        severity_key = None

        # 磨损类
        if defect_label in ['wear', 'wear_and_impact', 'wear_and_stain']:
            severity_key = "wear"

        elif defect_label in ['damaged']:
            severity_key = "loss"
        elif defect_label in ['impact']:
            # 这是一个歧义点，取决于它是边角还是面。
            # 既然是获取列表，通常 pit 和 loss 的等级名可能是一样的（轻微/一般/严重）。
            # 这里优先映射为 pit (常见于面)，或者你可以根据实际 json 结构调整
            severity_key = "pit"
        elif defect_label in ['scratch', 'scuff']:
            severity_key = "scratch"
        elif defect_label in ['pit', 'protrudent']:
            severity_key = "pit"
        elif defect_label in ['stain']:
            severity_key = "stain"

        if not severity_key:
            # 如果没匹配到，尝试直接用 label 查找 (容错)
            if defect_label in severity_config:
                severity_key = defect_label
            else:
                # 默认返回 wear 或抛出异常，这里选择返回空列表表示未找到
                return JSONResponse(content={"data": {"type": defect_label, "names": []}})

        # 2. 获取对应的配置列表
        levels = severity_config.get(severity_key, [])

        # 3. 提取 name 列表
        # 假设结构是 [{"name": "轻微", "value": 0.5}, ...]
        names = [item.get("name") for item in levels]

        return JSONResponse(content={
            "data": {
                "defect_label": severity_key,
                "names": names
            }
        })

    except Exception as e:
        logger.error(f"获取严重程度列表失败: {e}")
        raise HTTPException(status_code=500, detail=f"服务器内部错误: {e}")