import traceback

from astrbot.api import star
from astrbot.api.event import AstrMessageEvent, filter
from astrbot.api.message_components import Image, Plain
from astrbot.api.provider import LLMResponse, ProviderRequest
from astrbot.core import logger

from .long_term_memory import LongTermMemory
from .process_llm_request import ProcessLLMRequest


class Main(star.Star):
    def __init__(self, context: star.Context) -> None:
        self.context = context
        self.ltm = None
        try:
            self.ltm = LongTermMemory(self.context.astrbot_config_mgr, self.context)
        except BaseException as e:
            logger.error(f"聊天增强 err: {e}")

        self.proc_llm_req = ProcessLLMRequest(self.context)

    def ltm_enabled(self, event: AstrMessageEvent):
        ltmse = self.context.get_config(umo=event.unified_msg_origin)[
            "provider_ltm_settings"
        ]
        return ltmse["group_icl_enable"] or ltmse["active_reply"]["enable"]

    @filter.platform_adapter_type(filter.PlatformAdapterType.ALL)
    async def on_message(self, event: AstrMessageEvent):
        """群聊记忆增强"""
        has_image_or_plain = False
        for comp in event.message_obj.message:
            if isinstance(comp, Plain) or isinstance(comp, Image):
                has_image_or_plain = True
                break

        if self.ltm_enabled(event) and self.ltm and has_image_or_plain:
            need_active = await self.ltm.need_active_reply(event)

            group_icl_enable = self.context.get_config()["provider_ltm_settings"][
                "group_icl_enable"
            ]
            if group_icl_enable:
                """记录对话"""
                try:
                    await self.ltm.handle_message(event)
                except BaseException as e:
                    logger.error(e)

            if need_active:
                """主动回复"""
                provider = self.context.get_using_provider(event.unified_msg_origin)
                if not provider:
                    logger.error("未找到任何 LLM 提供商。请先配置。无法主动回复")
                    return
                try:
                    conv = None
                    session_curr_cid = await self.context.conversation_manager.get_curr_conversation_id(
                        event.unified_msg_origin,
                    )

                    if not session_curr_cid:
                        logger.error(
                            "当前未处于对话状态，无法主动回复，请确保 平台设置->会话隔离(unique_session) 未开启，并使用 /switch 序号 切换或者 /new 创建一个会话。",
                        )
                        return

                    conv = await self.context.conversation_manager.get_conversation(
                        event.unified_msg_origin,
                        session_curr_cid,
                    )

                    prompt = event.message_str

                    if not conv:
                        logger.error("未找到对话，无法主动回复")
                        return

                    yield event.request_llm(
                        prompt=prompt,
                        func_tool_manager=self.context.get_llm_tool_manager(),
                        session_id=event.session_id,
                        conversation=conv,
                    )
                except BaseException as e:
                    logger.error(traceback.format_exc())
                    logger.error(f"主动回复失败: {e}")

    @filter.on_llm_request()
    async def decorate_llm_req(self, event: AstrMessageEvent, req: ProviderRequest):
        """在请求 LLM 前注入人格信息、Identifier、时间、回复内容等 System Prompt"""
        await self.proc_llm_req.process_llm_request(event, req)

        if self.ltm and self.ltm_enabled(event):
            try:
                await self.ltm.on_req_llm(event, req)
            except BaseException as e:
                logger.error(f"ltm: {e}")

    @filter.on_llm_response()
    async def inject_reasoning(self, event: AstrMessageEvent, resp: LLMResponse):
        """在 LLM 响应后基于配置注入思考过程文本 / 在 LLM 响应后记录对话"""
        umo = event.unified_msg_origin
        cfg = self.context.get_config(umo).get("provider_settings", {})
        show_reasoning = cfg.get("display_reasoning_text", False)
        if show_reasoning and resp.reasoning_content:
            resp.completion_text = (
                f"🤔 思考: {resp.reasoning_content}\n\n{resp.completion_text}"
            )

        if self.ltm and self.ltm_enabled(event):
            try:
                await self.ltm.after_req_llm(event, resp)
            except Exception as e:
                logger.error(f"ltm: {e}")

    @filter.after_message_sent()
    async def after_message_sent(self, event: AstrMessageEvent):
        """消息发送后处理"""
        if self.ltm and self.ltm_enabled(event):
            try:
                clean_session = event.get_extra("_clean_ltm_session", False)
                if clean_session:
                    await self.ltm.remove_session(event)
            except Exception as e:
                logger.error(f"ltm: {e}")
