import os
from PIL import Image, ImageDraw, ImageFont
from nonebot import logger
from functools import reduce

from .img_utils import png_resize
from .param import round_data, interval_table

filepath = os.path.dirname(__file__).replace("\\", "/")


# async def avatar_cache(avatar_url, player_id):
#     if avatar_url:
#         try:
#             # 添加10s超时判断，如果超时直接使用默认头像
#             res = BytesIO(requests.get(avatar_url, timeout=10).content)
#             avatar = Image.open(res).convert('RGBA')
#             avatar.save(f'{filepath}/avatar_cache/{player_id}.png', 'PNG')
#             return avatar
#         except requests.exceptions.RequestException as e:
#             logger.warning(f"请求异常：{e}")
#     else:
#         return None
#
#
# async def get_avatar(avatar_url, player_id):
#     img = Image.open(filepath + "/avatar_cache/0.png").convert('RGBA')
#     path = filepath + "/avatar_cache/"
#     try:
#         avatar_list = os.listdir(path)
#         if player_id in str(avatar_list):
#             logger.info(f"本地已存在{player_id}头像")
#             img = Image.open(f"{path}{player_id}.png").convert('RGBA')
#         else:
#             logger.info(f"未检测到{player_id}头像，缓存至本地")
#             out_put = filepath + f"/avatar_cache/{player_id}.png"
#             img = await avatar_cache(avatar_url, out_put)
#     except Exception as err:
#         logger.error(f"获取头像失败：{str(err)}")
#     return img


async def get_best_weapon_and_best_vehicle(player_stat):
    weapon = sorted(player_stat["weapons"], key=lambda k: k['kills'], reverse=True)[0]
    vehicle = sorted(player_stat["vehicles"], key=lambda k: k['kills'], reverse=True)[0]
    return weapon, vehicle


async def get_vehicle_destroyed(player_stat):
    vehicle = reduce(lambda acc, x: acc + x['destroyed'], player_stat, 0)
    return vehicle


async def stats_calculator(player_stat, game):
    per500_data = round_data[game]
    # 场次（无直接数值反馈，采用胜利数+失败数）
    match_played = player_stat["wins"] + player_stat["loses"]

    kd = player_stat["killDeath"]
    kpm = player_stat["killsPerMinute"]
    kill_assists = player_stat["killAssists"]
    acc = float(player_stat["accuracy"].replace("%", ""))
    if game == "bf3":
        headshots = float(0)
    else:
        headshots = float(player_stat["headshots"].replace("%", ""))
    spm = player_stat["scorePerMinute"]
    revives = player_stat["revives"]

    # second_play = player_stat["secondsPlayed"]

    apr = kill_assists / match_played
    rpr = revives / match_played

    # SPM*秒数/60/场数=场均得分
    # dpr = score_perMinute * (second_play / 60) / match_played

    # 计算比值
    # kd
    ratio_kd = round(kd / per500_data["kd"], 2)
    # kpm
    ratio_kpm = round(kpm / per500_data["kpm"], 2)
    # 爆头率
    ratio_hs = round(headshots / 100 / per500_data["hs"], 2)
    # 场均救援
    ratio_rpr = round(rpr / per500_data["rpr"], 2)
    # 场均助攻
    ratio_apr = round(apr / per500_data["apr"], 2)
    # 分钟得分
    ratio_spm = round(spm / per500_data["spm"], 2)
    logger.info(f"雷达图数据")
    logger.info(f"生涯KD比值:{ratio_kd}")
    logger.info(f"生涯Kpm比值:{ratio_kpm}")
    logger.info(f"生涯准度比值:{ratio_hs}")
    logger.info(f"场均救援比值:{ratio_rpr}")
    logger.info(f"场均助攻比值:{ratio_apr}")
    logger.info(f"分钟得分比值:{ratio_spm}")

    stat_data = [ratio_kd, ratio_apr, ratio_hs, ratio_spm, ratio_kpm, ratio_rpr]

    # 血腥度 kd*0.5 + kpm *0.4 +hs*0.1
    player_blood = kd * 0.5 + kpm * 0.4 + headshots * 0.1
    ratio_blood = player_blood / per500_data["blood"]

    # 贡献度 场均助攻*0.4 + 场均救援*0.4 + spm*0.2
    player_dedication = rpr * 0.4 + apr * 0.4 + spm * 0.2
    ratio_dedication = player_dedication / per500_data["dedication"]

    # 全能度 血腥度*0.5 + 贡献度*0.5
    player_all_round = player_blood * 0.5 + player_dedication * 0.5
    ratio_all_round = player_all_round / per500_data["all_round"]

    logger.info(f"称号评级数据")
    logger.info(f"血腥度:{player_blood} 比值:{ratio_blood}")
    logger.info(f"贡献度:{player_dedication} 比值:{ratio_dedication}")
    logger.info(f"全能度:{player_all_round} 比值:{ratio_all_round}")
    level_designation = get_level_designation(ratio_blood, ratio_dedication, ratio_all_round)
    return stat_data, level_designation


def get_level_designation(blood, dedication, all_round):
    feature_type = ""
    final_max = max([blood, dedication, all_round])
    if final_max == blood:
        feature_type = "blood"
    elif final_max == dedication:
        feature_type = "dedication"
    elif final_max == all_round:
        feature_type = "all_round"
    logger.info(f"最高能力:{feature_type}")
    logger.info(f"最高能力值:{final_max}")
    final_info = get_feature(final_max, feature_type)
    return final_info


def get_feature(value, feature_type):
    """根据输入值和数值类别，返回对应特征值"""
    for (low, high), features in interval_table.items():
        if low <= value < high:
            return features[feature_type]
    raise ValueError(f"数值 {value} 不在任何区间内")