from src.config.config import global_config
from typing import List, Dict, Any, Tuple  # 确保类型提示被导入
import time  # 导入 time 模块以获取当前时间
import random
import re
from src.common.message_repository import find_messages, count_messages
from src.person_info.person_info import PersonInfoManager, get_person_info_manager
from src.chat.utils.utils import translate_timestamp_to_human_readable
from rich.traceback import install
from src.common.database.database_model import ActionRecords
from src.common.database.database_model import Images

install(extra_lines=3)


def get_raw_msg_by_timestamp(
    timestamp_start: float, timestamp_end: float, limit: int = 0, limit_mode: str = "latest"
) -> List[Dict[str, Any]]:
    """
    获取从指定时间戳到指定时间戳的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    limit_mode: 当 limit > 0 时生效。 'earliest' 表示获取最早的记录， 'latest' 表示获取最新的记录。默认为 'latest'。
    """
    filter_query = {"time": {"$gt": timestamp_start, "$lt": timestamp_end}}
    # 只有当 limit 为 0 时才应用外部 sort
    sort_order = [("time", 1)] if limit == 0 else None
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode)


def get_raw_msg_by_timestamp_with_chat(
    chat_id: str, timestamp_start: float, timestamp_end: float, limit: int = 0, limit_mode: str = "latest"
) -> List[Dict[str, Any]]:
    """获取在特定聊天从指定时间戳到指定时间戳的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    limit_mode: 当 limit > 0 时生效。 'earliest' 表示获取最早的记录， 'latest' 表示获取最新的记录。默认为 'latest'。
    """
    filter_query = {"chat_id": chat_id, "time": {"$gt": timestamp_start, "$lt": timestamp_end}}
    # 只有当 limit 为 0 时才应用外部 sort
    sort_order = [("time", 1)] if limit == 0 else None
    # 直接将 limit_mode 传递给 find_messages
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode)


def get_raw_msg_by_timestamp_with_chat_inclusive(
    chat_id: str, timestamp_start: float, timestamp_end: float, limit: int = 0, limit_mode: str = "latest"
) -> List[Dict[str, Any]]:
    """获取在特定聊天从指定时间戳到指定时间戳的消息（包含边界），按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    limit_mode: 当 limit > 0 时生效。 'earliest' 表示获取最早的记录， 'latest' 表示获取最新的记录。默认为 'latest'。
    """
    filter_query = {"chat_id": chat_id, "time": {"$gte": timestamp_start, "$lte": timestamp_end}}
    # 只有当 limit 为 0 时才应用外部 sort
    sort_order = [("time", 1)] if limit == 0 else None
    # 直接将 limit_mode 传递给 find_messages
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode)


def get_raw_msg_by_timestamp_with_chat_users(
    chat_id: str,
    timestamp_start: float,
    timestamp_end: float,
    person_ids: list,
    limit: int = 0,
    limit_mode: str = "latest",
) -> List[Dict[str, Any]]:
    """获取某些特定用户在特定聊天从指定时间戳到指定时间戳的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    limit_mode: 当 limit > 0 时生效。 'earliest' 表示获取最早的记录， 'latest' 表示获取最新的记录。默认为 'latest'。
    """
    filter_query = {
        "chat_id": chat_id,
        "time": {"$gt": timestamp_start, "$lt": timestamp_end},
        "user_id": {"$in": person_ids},
    }
    # 只有当 limit 为 0 时才应用外部 sort
    sort_order = [("time", 1)] if limit == 0 else None
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode)


def get_raw_msg_by_timestamp_random(
    timestamp_start: float, timestamp_end: float, limit: int = 0, limit_mode: str = "latest"
) -> List[Dict[str, Any]]:
    """
    先在范围时间戳内随机选择一条消息，取得消息的chat_id，然后根据chat_id获取该聊天在指定时间戳范围内的消息
    """
    # 获取所有消息，只取chat_id字段
    all_msgs = get_raw_msg_by_timestamp(timestamp_start, timestamp_end)
    if not all_msgs:
        return []
    # 随机选一条
    msg = random.choice(all_msgs)
    chat_id = msg["chat_id"]
    timestamp_start = msg["time"]
    # 用 chat_id 获取该聊天在指定时间戳范围内的消息
    return get_raw_msg_by_timestamp_with_chat(chat_id, timestamp_start, timestamp_end, limit, "earliest")


def get_raw_msg_by_timestamp_with_users(
    timestamp_start: float, timestamp_end: float, person_ids: list, limit: int = 0, limit_mode: str = "latest"
) -> List[Dict[str, Any]]:
    """获取某些特定用户在 *所有聊天* 中从指定时间戳到指定时间戳的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    limit_mode: 当 limit > 0 时生效。 'earliest' 表示获取最早的记录， 'latest' 表示获取最新的记录。默认为 'latest'。
    """
    filter_query = {"time": {"$gt": timestamp_start, "$lt": timestamp_end}, "user_id": {"$in": person_ids}}
    # 只有当 limit 为 0 时才应用外部 sort
    sort_order = [("time", 1)] if limit == 0 else None
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit, limit_mode=limit_mode)


def get_raw_msg_before_timestamp(timestamp: float, limit: int = 0) -> List[Dict[str, Any]]:
    """获取指定时间戳之前的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    """
    filter_query = {"time": {"$lt": timestamp}}
    sort_order = [("time", 1)]
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit)


def get_raw_msg_before_timestamp_with_chat(chat_id: str, timestamp: float, limit: int = 0) -> List[Dict[str, Any]]:
    """获取指定时间戳之前的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    """
    filter_query = {"chat_id": chat_id, "time": {"$lt": timestamp}}
    sort_order = [("time", 1)]
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit)


def get_raw_msg_before_timestamp_with_users(timestamp: float, person_ids: list, limit: int = 0) -> List[Dict[str, Any]]:
    """获取指定时间戳之前的消息，按时间升序排序，返回消息列表
    limit: 限制返回的消息数量，0为不限制
    """
    filter_query = {"time": {"$lt": timestamp}, "user_id": {"$in": person_ids}}
    sort_order = [("time", 1)]
    return find_messages(message_filter=filter_query, sort=sort_order, limit=limit)


def num_new_messages_since(chat_id: str, timestamp_start: float = 0.0, timestamp_end: float = None) -> int:
    """
    检查特定聊天从 timestamp_start (不含) 到 timestamp_end (不含) 之间有多少新消息。
    如果 timestamp_end 为 None，则检查从 timestamp_start (不含) 到当前时间的消息。
    """
    # 确定有效的结束时间戳
    _timestamp_end = timestamp_end if timestamp_end is not None else time.time()

    # 确保 timestamp_start < _timestamp_end
    if timestamp_start >= _timestamp_end:
        # logger.warning(f"timestamp_start ({timestamp_start}) must be less than _timestamp_end ({_timestamp_end}). Returning 0.")
        return 0  # 起始时间大于等于结束时间，没有新消息

    filter_query = {"chat_id": chat_id, "time": {"$gt": timestamp_start, "$lt": _timestamp_end}}
    return count_messages(message_filter=filter_query)


def num_new_messages_since_with_users(
    chat_id: str, timestamp_start: float, timestamp_end: float, person_ids: list
) -> int:
    """检查某些特定用户在特定聊天在指定时间戳之间有多少新消息"""
    if not person_ids:  # 保持空列表检查
        return 0
    filter_query = {
        "chat_id": chat_id,
        "time": {"$gt": timestamp_start, "$lt": timestamp_end},
        "user_id": {"$in": person_ids},
    }
    return count_messages(message_filter=filter_query)


def _build_readable_messages_internal(
    messages: List[Dict[str, Any]],
    replace_bot_name: bool = True,
    merge_messages: bool = False,
    timestamp_mode: str = "relative",
    truncate: bool = False,
    pic_id_mapping: Dict[str, str] = None,
    pic_counter: int = 1,
    show_pic: bool = True,
) -> Tuple[str, List[Tuple[float, str, str]], Dict[str, str], int]:
    """
    内部辅助函数，构建可读消息字符串和原始消息详情列表。

    Args:
        messages: 消息字典列表。
        replace_bot_name: 是否将机器人的 user_id 替换为 "我"。
        merge_messages: 是否合并来自同一用户的连续消息。
        timestamp_mode: 时间戳的显示模式 ('relative', 'absolute', etc.)。传递给 translate_timestamp_to_human_readable。
        truncate: 是否根据消息的新旧程度截断过长的消息内容。
        pic_id_mapping: 图片ID映射字典，如果为None则创建新的
        pic_counter: 图片计数器起始值

    Returns:
        包含格式化消息的字符串、原始消息详情列表、图片映射字典和更新后的计数器的元组。
    """
    if not messages:
        return "", [], pic_id_mapping or {}, pic_counter

    message_details_raw: List[Tuple[float, str, str]] = []

    # 使用传入的映射字典，如果没有则创建新的
    if pic_id_mapping is None:
        pic_id_mapping = {}
    current_pic_counter = pic_counter

    def process_pic_ids(content: str) -> str:
        """处理内容中的图片ID，将其替换为[图片x]格式"""
        nonlocal current_pic_counter

        # 匹配 [picid:xxxxx] 格式
        pic_pattern = r"\[picid:([^\]]+)\]"

        def replace_pic_id(match):
            nonlocal current_pic_counter
            pic_id = match.group(1)

            if pic_id not in pic_id_mapping:
                pic_id_mapping[pic_id] = f"图片{current_pic_counter}"
                current_pic_counter += 1

            return f"[{pic_id_mapping[pic_id]}]"

        return re.sub(pic_pattern, replace_pic_id, content)

    # 1 & 2: 获取发送者信息并提取消息组件
    for msg in messages:
        # 检查是否是动作记录
        if msg.get("is_action_record", False):
            is_action = True
            timestamp = msg.get("time")
            content = msg.get("display_message", "")
            # 对于动作记录，也处理图片ID
            content = process_pic_ids(content)
            message_details_raw.append((timestamp, global_config.bot.nickname, content, is_action))
            continue

        # 检查并修复缺少的user_info字段
        if "user_info" not in msg:
            # 创建user_info字段
            msg["user_info"] = {
                "platform": msg.get("user_platform", ""),
                "user_id": msg.get("user_id", ""),
                "user_nickname": msg.get("user_nickname", ""),
                "user_cardname": msg.get("user_cardname", ""),
            }

        user_info = msg.get("user_info", {})
        platform = user_info.get("platform")
        user_id = user_info.get("user_id")

        user_nickname = user_info.get("user_nickname")
        user_cardname = user_info.get("user_cardname")

        timestamp = msg.get("time")
        if msg.get("display_message"):
            content = msg.get("display_message")
        else:
            content = msg.get("processed_plain_text", "")  # 默认空字符串

        if "ᶠ" in content:
            content = content.replace("ᶠ", "")
        if "ⁿ" in content:
            content = content.replace("ⁿ", "")

        # 处理图片ID
        if show_pic:
            content = process_pic_ids(content)

        # 检查必要信息是否存在
        if not all([platform, user_id, timestamp is not None]):
            continue

        person_id = PersonInfoManager.get_person_id(platform, user_id)
        person_info_manager = get_person_info_manager()
        # 根据 replace_bot_name 参数决定是否替换机器人名称
        if replace_bot_name and user_id == global_config.bot.qq_account:
            person_name = f"{global_config.bot.nickname}(你)"
        else:
            person_name = person_info_manager.get_value_sync(person_id, "person_name")

        # 如果 person_name 未设置，则使用消息中的 nickname 或默认名称
        if not person_name:
            if user_cardname:
                person_name = f"昵称：{user_cardname}"
            elif user_nickname:
                person_name = f"{user_nickname}"
            else:
                person_name = "某人"

        # 检查是否有 回复<aaa:bbb> 字段
        reply_pattern = r"回复<([^:<>]+):([^:<>]+)>"
        match = re.search(reply_pattern, content)
        if match:
            aaa = match.group(1)
            bbb = match.group(2)
            reply_person_id = PersonInfoManager.get_person_id(platform, bbb)
            reply_person_name = person_info_manager.get_value_sync(reply_person_id, "person_name")
            if not reply_person_name:
                reply_person_name = aaa
            # 在内容前加上回复信息
            content = re.sub(reply_pattern, lambda m, name=reply_person_name: f"回复 {name}", content, count=1)

        # 检查是否有 @<aaa:bbb> 字段 @<{member_info.get('nickname')}:{member_info.get('user_id')}>
        at_pattern = r"@<([^:<>]+):([^:<>]+)>"
        at_matches = list(re.finditer(at_pattern, content))
        if at_matches:
            new_content = ""
            last_end = 0
            for m in at_matches:
                new_content += content[last_end : m.start()]
                aaa = m.group(1)
                bbb = m.group(2)
                at_person_id = PersonInfoManager.get_person_id(platform, bbb)
                at_person_name = person_info_manager.get_value_sync(at_person_id, "person_name")
                if not at_person_name:
                    at_person_name = aaa
                new_content += f"@{at_person_name}"
                last_end = m.end()
            new_content += content[last_end:]
            content = new_content

        target_str = "这是QQ的一个功能，用于提及某人，但没那么明显"
        if target_str in content:
            if random.random() < 0.6:
                content = content.replace(target_str, "")

        if content != "":
            message_details_raw.append((timestamp, person_name, content, False))

    if not message_details_raw:
        return "", [], pic_id_mapping, current_pic_counter

    message_details_raw.sort(key=lambda x: x[0])  # 按时间戳(第一个元素)升序排序，越早的消息排在前面

    # 为每条消息添加一个标记，指示它是否是动作记录
    message_details_with_flags = []
    for timestamp, name, content, is_action in message_details_raw:
        message_details_with_flags.append((timestamp, name, content, is_action))

    # 应用截断逻辑 (如果 truncate 为 True)
    message_details: List[Tuple[float, str, str, bool]] = []
    n_messages = len(message_details_with_flags)
    if truncate and n_messages > 0:
        for i, (timestamp, name, content, is_action) in enumerate(message_details_with_flags):
            # 对于动作记录，不进行截断
            if is_action:
                message_details.append((timestamp, name, content, is_action))
                continue

            percentile = i / n_messages  # 计算消息在列表中的位置百分比 (0 <= percentile < 1)
            original_len = len(content)
            limit = -1  # 默认不截断

            if percentile < 0.2:  # 60% 之前的消息 (即最旧的 60%)
                limit = 50
                replace_content = "......（记不清了）"
            elif percentile < 0.5:  # 60% 之前的消息 (即最旧的 60%)
                limit = 100
                replace_content = "......（有点记不清了）"
            elif percentile < 0.7:  # 60% 到 80% 之前的消息 (即中间的 20%)
                limit = 200
                replace_content = "......（内容太长了）"
            elif percentile < 1.0:  # 80% 到 100% 之前的消息 (即较新的 20%)
                limit = 400
                replace_content = "......（太长了）"

            truncated_content = content
            if 0 < limit < original_len:
                truncated_content = f"{content[:limit]}{replace_content}"

            message_details.append((timestamp, name, truncated_content, is_action))
    else:
        # 如果不截断，直接使用原始列表
        message_details = message_details_with_flags

    # 3: 合并连续消息 (如果 merge_messages 为 True)
    merged_messages = []
    if merge_messages and message_details:
        # 初始化第一个合并块
        current_merge = {
            "name": message_details[0][1],
            "start_time": message_details[0][0],
            "end_time": message_details[0][0],
            "content": [message_details[0][2]],
            "is_action": message_details[0][3],
        }

        for i in range(1, len(message_details)):
            timestamp, name, content, is_action = message_details[i]

            # 对于动作记录，不进行合并
            if is_action or current_merge["is_action"]:
                # 保存当前的合并块
                merged_messages.append(current_merge)
                # 创建新的块
                current_merge = {
                    "name": name,
                    "start_time": timestamp,
                    "end_time": timestamp,
                    "content": [content],
                    "is_action": is_action,
                }
                continue

            # 如果是同一个人发送的连续消息且时间间隔小于等于60秒
            if name == current_merge["name"] and (timestamp - current_merge["end_time"] <= 60):
                current_merge["content"].append(content)
                current_merge["end_time"] = timestamp  # 更新最后消息时间
            else:
                # 保存上一个合并块
                merged_messages.append(current_merge)
                # 开始新的合并块
                current_merge = {
                    "name": name,
                    "start_time": timestamp,
                    "end_time": timestamp,
                    "content": [content],
                    "is_action": is_action,
                }
        # 添加最后一个合并块
        merged_messages.append(current_merge)
    elif message_details:  # 如果不合并消息，则每个消息都是一个独立的块
        for timestamp, name, content, is_action in message_details:
            merged_messages.append(
                {
                    "name": name,
                    "start_time": timestamp,  # 起始和结束时间相同
                    "end_time": timestamp,
                    "content": [content],  # 内容只有一个元素
                    "is_action": is_action,
                }
            )

    # 4 & 5: 格式化为字符串
    output_lines = []

    for _i, merged in enumerate(merged_messages):
        # 使用指定的 timestamp_mode 格式化时间
        readable_time = translate_timestamp_to_human_readable(merged["start_time"], mode=timestamp_mode)

        # 检查是否是动作记录
        if merged["is_action"]:
            # 对于动作记录，使用特殊格式
            output_lines.append(f"{readable_time}, {merged['content'][0]}")
        else:
            header = f"{readable_time}, {merged['name']} :"
            output_lines.append(header)
            # 将内容合并，并添加缩进
            for line in merged["content"]:
                stripped_line = line.strip()
                if stripped_line:  # 过滤空行
                    # 移除末尾句号，添加分号 - 这个逻辑似乎有点奇怪，暂时保留
                    if stripped_line.endswith("。"):
                        stripped_line = stripped_line[:-1]
                    # 如果内容被截断，结尾已经是 ...（内容太长），不再添加分号
                    if not stripped_line.endswith("（内容太长）"):
                        output_lines.append(f"{stripped_line}")
                    else:
                        output_lines.append(stripped_line)  # 直接添加截断后的内容
        output_lines.append("\n")  # 在每个消息块后添加换行，保持可读性

    # 移除可能的多余换行，然后合并
    formatted_string = "".join(output_lines).strip()

    # 返回格式化后的字符串、消息详情列表、图片映射字典和更新后的计数器
    return (
        formatted_string,
        [(t, n, c) for t, n, c, is_action in message_details if not is_action],
        pic_id_mapping,
        current_pic_counter,
    )


def build_pic_mapping_info(pic_id_mapping: Dict[str, str]) -> str:
    """
    构建图片映射信息字符串，显示图片的具体描述内容

    Args:
        pic_id_mapping: 图片ID到显示名称的映射字典

    Returns:
        格式化的映射信息字符串
    """
    if not pic_id_mapping:
        return ""

    mapping_lines = []

    # 按图片编号排序
    sorted_items = sorted(pic_id_mapping.items(), key=lambda x: int(x[1].replace("图片", "")))

    for pic_id, display_name in sorted_items:
        # 从数据库中获取图片描述
        description = "内容正在阅读，请稍等"
        try:
            image = Images.get_or_none(Images.image_id == pic_id)
            if image and image.description:
                description = image.description
        except Exception:
            # 如果查询失败，保持默认描述
            pass

        mapping_lines.append(f"[{display_name}] 的内容：{description}")

    return "\n".join(mapping_lines)


async def build_readable_messages_with_list(
    messages: List[Dict[str, Any]],
    replace_bot_name: bool = True,
    merge_messages: bool = False,
    timestamp_mode: str = "relative",
    truncate: bool = False,
) -> Tuple[str, List[Tuple[float, str, str]]]:
    """
    将消息列表转换为可读的文本格式，并返回原始(时间戳, 昵称, 内容)列表。
    允许通过参数控制格式化行为。
    """
    formatted_string, details_list, pic_id_mapping, _ = _build_readable_messages_internal(
        messages, replace_bot_name, merge_messages, timestamp_mode, truncate
    )

    # 生成图片映射信息并添加到最前面
    pic_mapping_info = build_pic_mapping_info(pic_id_mapping)
    if pic_mapping_info:
        formatted_string = f"{pic_mapping_info}\n\n{formatted_string}"

    return formatted_string, details_list


def build_readable_messages(
    messages: List[Dict[str, Any]],
    replace_bot_name: bool = True,
    merge_messages: bool = False,
    timestamp_mode: str = "relative",
    read_mark: float = 0.0,
    truncate: bool = False,
    show_actions: bool = False,
    show_pic: bool = True,
) -> str:
    """
    将消息列表转换为可读的文本格式。
    如果提供了 read_mark，则在相应位置插入已读标记。
    允许通过参数控制格式化行为。

    Args:
        messages: 消息列表
        replace_bot_name: 是否替换机器人名称为"你"
        merge_messages: 是否合并连续消息
        timestamp_mode: 时间戳显示模式
        read_mark: 已读标记时间戳
        truncate: 是否截断长消息
        show_actions: 是否显示动作记录
    """
    # 创建messages的深拷贝，避免修改原始列表
    copy_messages = [msg.copy() for msg in messages]

    if show_actions and copy_messages:
        # 获取所有消息的时间范围
        min_time = min(msg.get("time", 0) for msg in copy_messages)
        max_time = max(msg.get("time", 0) for msg in copy_messages)

        # 从第一条消息中获取chat_id
        chat_id = copy_messages[0].get("chat_id") if copy_messages else None

        # 获取这个时间范围内的动作记录，并匹配chat_id
        actions_in_range = (
            ActionRecords.select()
            .where(
                (ActionRecords.time >= min_time) & (ActionRecords.time <= max_time) & (ActionRecords.chat_id == chat_id)
            )
            .order_by(ActionRecords.time)
        )

        # 获取最新消息之后的第一个动作记录
        action_after_latest = (
            ActionRecords.select()
            .where((ActionRecords.time > max_time) & (ActionRecords.chat_id == chat_id))
            .order_by(ActionRecords.time)
            .limit(1)
        )

        # 合并两部分动作记录
        actions = list(actions_in_range) + list(action_after_latest)

        # 将动作记录转换为消息格式
        for action in actions:
            # 只有当build_into_prompt为True时才添加动作记录
            if action.action_build_into_prompt:
                action_msg = {
                    "time": action.time,
                    "user_id": global_config.bot.qq_account,  # 使用机器人的QQ账号
                    "user_nickname": global_config.bot.nickname,  # 使用机器人的昵称
                    "user_cardname": "",  # 机器人没有群名片
                    "processed_plain_text": f"{action.action_prompt_display}",
                    "display_message": f"{action.action_prompt_display}",
                    "chat_info_platform": action.chat_info_platform,
                    "is_action_record": True,  # 添加标识字段
                    "action_name": action.action_name,  # 保存动作名称
                }
                copy_messages.append(action_msg)

        # 重新按时间排序
        copy_messages.sort(key=lambda x: x.get("time", 0))

    if read_mark <= 0:
        # 没有有效的 read_mark，直接格式化所有消息
        formatted_string, _, pic_id_mapping, _ = _build_readable_messages_internal(
            copy_messages, replace_bot_name, merge_messages, timestamp_mode, truncate, show_pic=show_pic
        )

        # 生成图片映射信息并添加到最前面
        pic_mapping_info = build_pic_mapping_info(pic_id_mapping)
        if pic_mapping_info:
            return f"{pic_mapping_info}\n\n{formatted_string}"
        else:
            return formatted_string
    else:
        # 按 read_mark 分割消息
        messages_before_mark = [msg for msg in copy_messages if msg.get("time", 0) <= read_mark]
        messages_after_mark = [msg for msg in copy_messages if msg.get("time", 0) > read_mark]

        # 共享的图片映射字典和计数器
        pic_id_mapping = {}
        pic_counter = 1

        # 分别格式化，但使用共享的图片映射
        formatted_before, _, pic_id_mapping, pic_counter = _build_readable_messages_internal(
            messages_before_mark,
            replace_bot_name,
            merge_messages,
            timestamp_mode,
            truncate,
            pic_id_mapping,
            pic_counter,
            show_pic=show_pic,
        )
        formatted_after, _, pic_id_mapping, _ = _build_readable_messages_internal(
            messages_after_mark,
            replace_bot_name,
            merge_messages,
            timestamp_mode,
            False,
            pic_id_mapping,
            pic_counter,
            show_pic=show_pic,
        )

        read_mark_line = "\n--- 以上消息是你已经看过，请关注以下未读的新消息---\n"

        # 生成图片映射信息
        if pic_id_mapping:
            pic_mapping_info = f"图片信息：\n{build_pic_mapping_info(pic_id_mapping)}\n聊天记录信息：\n"
        else:
            pic_mapping_info = "聊天记录信息：\n"

        # 组合结果
        result_parts = []
        if pic_mapping_info:
            result_parts.append(pic_mapping_info)
            result_parts.append("\n")

        if formatted_before and formatted_after:
            result_parts.extend([formatted_before, read_mark_line, formatted_after])
        elif formatted_before:
            result_parts.extend([formatted_before, read_mark_line])
        elif formatted_after:
            result_parts.extend([read_mark_line, formatted_after])
        else:
            result_parts.append(read_mark_line.strip())

        return "".join(result_parts)


async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
    """
    构建匿名可读消息，将不同人的名称转为唯一占位符（A、B、C...），bot自己用SELF。
    处理 回复<aaa:bbb> 和 @<aaa:bbb> 字段，将bbb映射为匿名占位符。
    """
    if not messages:
        print("111111111111没有消息，无法构建匿名消息")
        return ""

    person_map = {}
    current_char = ord("A")
    output_lines = []

    # 图片ID映射字典
    pic_id_mapping = {}
    pic_counter = 1

    def process_pic_ids(content: str) -> str:
        """处理内容中的图片ID，将其替换为[图片x]格式"""
        nonlocal pic_counter

        # 匹配 [picid:xxxxx] 格式
        pic_pattern = r"\[picid:([^\]]+)\]"

        def replace_pic_id(match):
            nonlocal pic_counter
            pic_id = match.group(1)

            if pic_id not in pic_id_mapping:
                pic_id_mapping[pic_id] = f"图片{pic_counter}"
                pic_counter += 1

            return f"[{pic_id_mapping[pic_id]}]"

        return re.sub(pic_pattern, replace_pic_id, content)

    def get_anon_name(platform, user_id):
        # print(f"get_anon_name: platform:{platform}, user_id:{user_id}")
        # print(f"global_config.bot.qq_account:{global_config.bot.qq_account}")

        if user_id == global_config.bot.qq_account:
            # print("SELF11111111111111")
            return "SELF"
        try:
            person_id = PersonInfoManager.get_person_id(platform, user_id)
        except Exception as _e:
            person_id = None
        if not person_id:
            return "?"
        if person_id not in person_map:
            nonlocal current_char
            person_map[person_id] = chr(current_char)
            current_char += 1
        return person_map[person_id]

    for msg in messages:
        try:
            platform = msg.get("chat_info_platform")
            user_id = msg.get("user_id")
            _timestamp = msg.get("time")
            if msg.get("display_message"):
                content = msg.get("display_message")
            else:
                content = msg.get("processed_plain_text", "")

            if "ᶠ" in content:
                content = content.replace("ᶠ", "")
            if "ⁿ" in content:
                content = content.replace("ⁿ", "")

            # 处理图片ID
            content = process_pic_ids(content)

            # if not all([platform, user_id, timestamp is not None]):
            # continue

            anon_name = get_anon_name(platform, user_id)
            # print(f"anon_name:{anon_name}")

            # 处理 回复<aaa:bbb>
            reply_pattern = r"回复<([^:<>]+):([^:<>]+)>"
            match = re.search(reply_pattern, content)
            if match:
                # print(f"发现回复match:{match}")
                bbb = match.group(2)
                try:
                    anon_reply = get_anon_name(platform, bbb)
                    # print(f"anon_reply:{anon_reply}")
                except Exception:
                    anon_reply = "?"
                content = re.sub(reply_pattern, f"回复 {anon_reply}", content, count=1)

            # 处理 @<aaa:bbb>，无嵌套def
            at_pattern = r"@<([^:<>]+):([^:<>]+)>"
            at_matches = list(re.finditer(at_pattern, content))
            if at_matches:
                # print(f"发现@match:{at_matches}")
                new_content = ""
                last_end = 0
                for m in at_matches:
                    new_content += content[last_end : m.start()]
                    bbb = m.group(2)
                    try:
                        anon_at = get_anon_name(platform, bbb)
                        # print(f"anon_at:{anon_at}")
                    except Exception:
                        anon_at = "?"
                    new_content += f"@{anon_at}"
                    last_end = m.end()
                new_content += content[last_end:]
                content = new_content

            header = f"{anon_name}说 "
            output_lines.append(header)
            stripped_line = content.strip()
            if stripped_line:
                if stripped_line.endswith("。"):
                    stripped_line = stripped_line[:-1]
                output_lines.append(f"{stripped_line}")
            # print(f"output_lines:{output_lines}")
            output_lines.append("\n")
        except Exception:
            continue

    # 在最前面添加图片映射信息
    final_output_lines = []
    pic_mapping_info = build_pic_mapping_info(pic_id_mapping)
    if pic_mapping_info:
        final_output_lines.append(pic_mapping_info)
        final_output_lines.append("\n\n")

    final_output_lines.extend(output_lines)
    formatted_string = "".join(final_output_lines).strip()
    return formatted_string


async def get_person_id_list(messages: List[Dict[str, Any]]) -> List[str]:
    """
    从消息列表中提取不重复的 person_id 列表 (忽略机器人自身)。

    Args:
        messages: 消息字典列表。

    Returns:
        一个包含唯一 person_id 的列表。
    """
    person_ids_set = set()  # 使用集合来自动去重

    for msg in messages:
        platform = msg.get("user_platform")
        user_id = msg.get("user_id")

        # 检查必要信息是否存在 且 不是机器人自己
        if not all([platform, user_id]) or user_id == global_config.bot.qq_account:
            continue

        person_id = PersonInfoManager.get_person_id(platform, user_id)

        # 只有当获取到有效 person_id 时才添加
        if person_id:
            person_ids_set.add(person_id)

    return list(person_ids_set)  # 将集合转换为列表返回
