# access LinkAI knowledge base platform
# docs: https://link-ai.tech/platform/link-app/wechat

import time

import requests

from bot.bot import Bot
from bot.chatgpt.chat_gpt_session import ChatGPTSession
from bot.session_manager import SessionManager
from bridge.context import Context, ContextType
from bridge.reply import Reply, ReplyType
from common.log import logger
from config import conf, pconf
import threading
from common import memory, utils
import base64


class LinkAIBot(Bot):
    # authentication failed
    AUTH_FAILED_CODE = 401
    NO_QUOTA_CODE = 406

    def __init__(self):
        super().__init__()
        self.sessions = LinkAISessionManager(LinkAISession, model=conf().get("model") or "gpt-3.5-turbo")
        self.args = {}

    def reply(self, query, context: Context = None) -> Reply:
        if context.type == ContextType.TEXT:
            return self._chat(query, context)
        elif context.type == ContextType.IMAGE_CREATE:
            ok, res = self.create_img(query, 0)
            if ok:
                reply = Reply(ReplyType.IMAGE_URL, res)
            else:
                reply = Reply(ReplyType.ERROR, res)
            return reply
        else:
            reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
            return reply

    def _chat(self, query, context, retry_count=0) -> Reply:
        """
        发起对话请求
        :param query: 请求提示词
        :param context: 对话上下文
        :param retry_count: 当前递归重试次数
        :return: 回复
        """
        if retry_count > 2:
            # exit from retry 2 times
            logger.warn("[LINKAI] failed after maximum number of retry times")
            return Reply(ReplyType.TEXT, "请再问我一次吧")

        try:
            # load config
            if context.get("generate_breaked_by"):
                logger.info(f"[LINKAI] won't set appcode because a plugin ({context['generate_breaked_by']}) affected the context")
                app_code = None
            else:
                app_code = context.kwargs.get("app_code") or conf().get("linkai_app_code")
            linkai_api_key = conf().get("linkai_api_key")

            session_id = context["session_id"]
            session_message = self.sessions.session_msg_query(query, session_id)
            logger.debug(f"[LinkAI] session={session_message}, session_id={session_id}")

            # image process
            img_cache = memory.USER_IMAGE_CACHE.get(session_id)
            if img_cache:
                messages = self._process_image_msg(app_code=app_code, session_id=session_id, query=query, img_cache=img_cache)
                if messages:
                    session_message = messages

            model = conf().get("model")
            # remove system message
            if session_message[0].get("role") == "system":
                if app_code or model == "wenxin":
                    session_message.pop(0)

            body = {
                "app_code": app_code,
                "messages": session_message,
                "model": model,     # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
                "temperature": conf().get("temperature"),
                "top_p": conf().get("top_p", 1),
                "frequency_penalty": conf().get("frequency_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
                "presence_penalty": conf().get("presence_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
            }
            file_id = context.kwargs.get("file_id")
            if file_id:
                body["file_id"] = file_id
            logger.info(f"[LINKAI] query={query}, app_code={app_code}, mode={body.get('model')}, file_id={file_id}")
            headers = {"Authorization": "Bearer " + linkai_api_key}

            # do http request
            base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
            res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
                                timeout=conf().get("request_timeout", 180))
            if res.status_code == 200:
                # execute success
                response = res.json()
                reply_content = response["choices"][0]["message"]["content"]
                total_tokens = response["usage"]["total_tokens"]
                logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
                self.sessions.session_reply(reply_content, session_id, total_tokens, query=query)
    
                agent_suffix = self._fetch_agent_suffix(response)
                if agent_suffix:
                    reply_content += agent_suffix
                if not agent_suffix:
                    knowledge_suffix = self._fetch_knowledge_search_suffix(response)
                    if knowledge_suffix:
                        reply_content += knowledge_suffix
                # image process
                if response["choices"][0].get("img_urls"):
                    thread = threading.Thread(target=self._send_image, args=(context.get("channel"), context, response["choices"][0].get("img_urls")))
                    thread.start()
                return Reply(ReplyType.TEXT, reply_content)

            else:
                response = res.json()
                error = response.get("error")
                logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
                             f"msg={error.get('message')}, type={error.get('type')}")

                if res.status_code >= 500:
                    # server error, need retry
                    time.sleep(2)
                    logger.warn(f"[LINKAI] do retry, times={retry_count}")
                    return self._chat(query, context, retry_count + 1)

                return Reply(ReplyType.TEXT, "提问太快啦，请休息一下再问我吧")

        except Exception as e:
            logger.exception(e)
            # retry
            time.sleep(2)
            logger.warn(f"[LINKAI] do retry, times={retry_count}")
            return self._chat(query, context, retry_count + 1)

    def _process_image_msg(self, app_code: str, session_id: str, query:str, img_cache: dict):
        try:
            enable_image_input = False
            app_info = self._fetch_app_info(app_code)
            if not app_info:
                logger.debug(f"[LinkAI] not found app, can't process images, app_code={app_code}")
                return None
            plugins = app_info.get("data").get("plugins")
            for plugin in plugins:
                if plugin.get("input_type") and "IMAGE" in plugin.get("input_type"):
                    enable_image_input = True
            if not enable_image_input:
                return
            msg = img_cache.get("msg")
            path = img_cache.get("path")
            msg.prepare()
            logger.info(f"[LinkAI] query with images, path={path}")
            messages = self._build_vision_msg(query, path)
            memory.USER_IMAGE_CACHE[session_id] = None
            return messages
        except Exception as e:
            logger.exception(e)


    def _build_vision_msg(self, query: str, path: str):
        try:
            suffix = utils.get_path_suffix(path)
            with open(path, "rb") as file:
                base64_str = base64.b64encode(file.read()).decode('utf-8')
                messages = [{
                    "role": "user",
                    "content": [
                        {
                            "type": "text",
                            "text": query
                        },
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": f"data:image/{suffix};base64,{base64_str}"
                            }
                        }
                    ]
                }]
                return messages
        except Exception as e:
            logger.exception(e)

    def reply_text(self, session: ChatGPTSession, app_code="", retry_count=0) -> dict:
        if retry_count >= 2:
            # exit from retry 2 times
            logger.warn("[LINKAI] failed after maximum number of retry times")
            return {
                "total_tokens": 0,
                "completion_tokens": 0,
                "content": "请再问我一次吧"
            }

        try:
            body = {
                "app_code": app_code,
                "messages": session.messages,
                "model": conf().get("model") or "gpt-3.5-turbo",  # 对话模型的名称, 支持 gpt-3.5-turbo, gpt-3.5-turbo-16k, gpt-4, wenxin, xunfei
                "temperature": conf().get("temperature"),
                "top_p": conf().get("top_p", 1),
                "frequency_penalty": conf().get("frequency_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
                "presence_penalty": conf().get("presence_penalty", 0.0),  # [-2,2]之间，该值越大则更倾向于产生不同的内容
            }
            if self.args.get("max_tokens"):
                body["max_tokens"] = self.args.get("max_tokens")
            headers = {"Authorization": "Bearer " +  conf().get("linkai_api_key")}

            # do http request
            base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
            res = requests.post(url=base_url + "/v1/chat/completions", json=body, headers=headers,
                                timeout=conf().get("request_timeout", 180))
            if res.status_code == 200:
                # execute success
                response = res.json()
                reply_content = response["choices"][0]["message"]["content"]
                total_tokens = response["usage"]["total_tokens"]
                logger.info(f"[LINKAI] reply={reply_content}, total_tokens={total_tokens}")
                return {
                    "total_tokens": total_tokens,
                    "completion_tokens": response["usage"]["completion_tokens"],
                    "content": reply_content,
                }

            else:
                response = res.json()
                error = response.get("error")
                logger.error(f"[LINKAI] chat failed, status_code={res.status_code}, "
                             f"msg={error.get('message')}, type={error.get('type')}")

                if res.status_code >= 500:
                    # server error, need retry
                    time.sleep(2)
                    logger.warn(f"[LINKAI] do retry, times={retry_count}")
                    return self.reply_text(session, app_code, retry_count + 1)

                return {
                    "total_tokens": 0,
                    "completion_tokens": 0,
                    "content": "提问太快啦，请休息一下再问我吧"
                }

        except Exception as e:
            logger.exception(e)
            # retry
            time.sleep(2)
            logger.warn(f"[LINKAI] do retry, times={retry_count}")
            return self.reply_text(session, app_code, retry_count + 1)

    def _fetch_app_info(self, app_code: str):
        headers = {"Authorization": "Bearer " + conf().get("linkai_api_key")}
        # do http request
        base_url = conf().get("linkai_api_base", "https://api.link-ai.chat")
        params = {"app_code": app_code}
        res = requests.get(url=base_url + "/v1/app/info", params=params, headers=headers, timeout=(5, 10))
        if res.status_code == 200:
            return res.json()
        else:
            logger.warning(f"[LinkAI] find app info exception, res={res}")

    def create_img(self, query, retry_count=0, api_key=None):
        try:
            logger.info("[LinkImage] image_query={}".format(query))
            headers = {
                "Content-Type": "application/json",
                "Authorization": f"Bearer {conf().get('linkai_api_key')}"
            }
            data = {
                "prompt": query,
                "n": 1,
                "model": conf().get("text_to_image") or "dall-e-2",
                "response_format": "url",
                "img_proxy": conf().get("image_proxy")
            }
            url = conf().get("linkai_api_base", "https://api.link-ai.chat") + "/v1/images/generations"
            res = requests.post(url, headers=headers, json=data, timeout=(5, 90))
            t2 = time.time()
            image_url = res.json()["data"][0]["url"]
            logger.info("[OPEN_AI] image_url={}".format(image_url))
            return True, image_url

        except Exception as e:
            logger.error(format(e))
            return False, "画图出现问题，请休息一下再问我吧"


    def _fetch_knowledge_search_suffix(self, response) -> str:
        try:
            if response.get("knowledge_base"):
                search_hit = response.get("knowledge_base").get("search_hit")
                first_similarity = response.get("knowledge_base").get("first_similarity")
                logger.info(f"[LINKAI] knowledge base, search_hit={search_hit}, first_similarity={first_similarity}")
                plugin_config = pconf("linkai")
                if plugin_config and plugin_config.get("knowledge_base") and plugin_config.get("knowledge_base").get("search_miss_text_enabled"):
                    search_miss_similarity = plugin_config.get("knowledge_base").get("search_miss_similarity")
                    search_miss_text = plugin_config.get("knowledge_base").get("search_miss_suffix")
                    if not search_hit:
                        return search_miss_text
                    if search_miss_similarity and float(search_miss_similarity) > first_similarity:
                        return search_miss_text
        except Exception as e:
            logger.exception(e)


    def _fetch_agent_suffix(self, response):
        try:
            plugin_list = []
            logger.debug(f"[LinkAgent] res={response}")
            if response.get("agent") and response.get("agent").get("chain") and response.get("agent").get("need_show_plugin"):
                chain = response.get("agent").get("chain")
                suffix = "\n\n- - - - - - - - - - - -"
                i = 0
                for turn in chain:
                    plugin_name = turn.get('plugin_name')
                    suffix += "\n"
                    need_show_thought = response.get("agent").get("need_show_thought")
                    if turn.get("thought") and plugin_name and need_show_thought:
                        suffix += f"{turn.get('thought')}\n"
                    if plugin_name:
                        plugin_list.append(turn.get('plugin_name'))
                        suffix += f"{turn.get('plugin_icon')} {turn.get('plugin_name')}"
                        if turn.get('plugin_input'):
                            suffix += f"：{turn.get('plugin_input')}"
                    if i < len(chain) - 1:
                        suffix += "\n"
                    i += 1
                logger.info(f"[LinkAgent] use plugins: {plugin_list}")
                return suffix
        except Exception as e:
            logger.exception(e)


    def _send_image(self, channel, context, image_urls):
        if not image_urls:
            return
        try:
            for url in image_urls:
                reply = Reply(ReplyType.IMAGE_URL, url)
                channel.send(reply, context)
        except Exception as e:
            logger.error(e)


class LinkAISessionManager(SessionManager):
    def session_msg_query(self, query, session_id):
        session = self.build_session(session_id)
        messages = session.messages + [{"role": "user", "content": query}]
        return messages

    def session_reply(self, reply, session_id, total_tokens=None, query=None):
        session = self.build_session(session_id)
        if query:
            session.add_query(query)
        session.add_reply(reply)
        try:
            max_tokens = conf().get("conversation_max_tokens", 2500)
            tokens_cnt = session.discard_exceeding(max_tokens, total_tokens)
            logger.info(f"[LinkAI] chat history discard, before tokens={total_tokens}, now tokens={tokens_cnt}")
        except Exception as e:
            logger.warning("Exception when counting tokens precisely for session: {}".format(str(e)))
        return session


class LinkAISession(ChatGPTSession):
    def calc_tokens(self):
        try:
            cur_tokens = super().calc_tokens()
        except Exception as e:
            logger.debug("Exception when counting tokens precisely for query: {}".format(e))
            cur_tokens = len(str(self.messages))
        return cur_tokens

    def discard_exceeding(self, max_tokens, cur_tokens=None):
        cur_tokens = self.calc_tokens()
        if cur_tokens > max_tokens:
            for i in range(0, len(self.messages)):
                if i > 0 and self.messages[i].get("role") == "assistant" and self.messages[i - 1].get("role") == "user":
                    self.messages.pop(i)
                    self.messages.pop(i - 1)
                    return self.calc_tokens()
        return cur_tokens