"""
========================================================================
第一部分：来自EdgeGPT.py
https://github.com/acheong08/EdgeGPT
========================================================================
"""


import argparse
import asyncio
import json
import os
import random
import re
import ssl
import sys
import uuid
from enum import Enum
from pathlib import Path
from typing import Generator
from typing import Literal
from typing import Optional
from typing import Union
import certifi
import httpx
import websockets.client as websockets

DELIMITER = "\x1e"


# Generate random IP between range 13.104.0.0/14
FORWARDED_IP = (
    f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"
)

HEADERS = {
    "accept": "application/json",
    "accept-language": "en-US,en;q=0.9",
    "content-type": "application/json",
    "sec-ch-ua": '"Not_A Brand";v="99", "Microsoft Edge";v="110", "Chromium";v="110"',
    "sec-ch-ua-arch": '"x86"',
    "sec-ch-ua-bitness": '"64"',
    "sec-ch-ua-full-version": '"109.0.1518.78"',
    "sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-model": "",
    "sec-ch-ua-platform": '"Windows"',
    "sec-ch-ua-platform-version": '"15.0.0"',
    "sec-fetch-dest": "empty",
    "sec-fetch-mode": "cors",
    "sec-fetch-site": "same-origin",
    "x-ms-client-request-id": str(uuid.uuid4()),
    "x-ms-useragent": "azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32",
    "Referer": "https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx",
    "Referrer-Policy": "origin-when-cross-origin",
    "x-forwarded-for": FORWARDED_IP,
}

HEADERS_INIT_CONVER = {
    "authority": "edgeservices.bing.com",
    "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
    "accept-language": "en-US,en;q=0.9",
    "cache-control": "max-age=0",
    "sec-ch-ua": '"Chromium";v="110", "Not A(Brand";v="24", "Microsoft Edge";v="110"',
    "sec-ch-ua-arch": '"x86"',
    "sec-ch-ua-bitness": '"64"',
    "sec-ch-ua-full-version": '"110.0.1587.69"',
    "sec-ch-ua-full-version-list": '"Chromium";v="110.0.5481.192", "Not A(Brand";v="24.0.0.0", "Microsoft Edge";v="110.0.1587.69"',
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-model": '""',
    "sec-ch-ua-platform": '"Windows"',
    "sec-ch-ua-platform-version": '"15.0.0"',
    "sec-fetch-dest": "document",
    "sec-fetch-mode": "navigate",
    "sec-fetch-site": "none",
    "sec-fetch-user": "?1",
    "upgrade-insecure-requests": "1",
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36 Edg/110.0.1587.69",
    "x-edge-shopping-flag": "1",
    "x-forwarded-for": FORWARDED_IP,
}

ssl_context = ssl.create_default_context()
ssl_context.load_verify_locations(certifi.where())


class NotAllowedToAccess(Exception):
    pass


class ConversationStyle(Enum):
    creative = "h3imaginative,clgalileo,gencontentv3"
    balanced = "galileo"
    precise = "h3precise,clgalileo"


CONVERSATION_STYLE_TYPE = Optional[
    Union[ConversationStyle, Literal["creative", "balanced", "precise"]]
]


def _append_identifier(msg: dict) -> str:
    """
    Appends special character to end of message to identify end of message
    """
    # Convert dict to json string
    return json.dumps(msg) + DELIMITER


def _get_ran_hex(length: int = 32) -> str:
    """
    Returns random hex string
    """
    return "".join(random.choice("0123456789abcdef") for _ in range(length))


class _ChatHubRequest:
    """
    Request object for ChatHub
    """

    def __init__(
        self,
        conversation_signature: str,
        client_id: str,
        conversation_id: str,
        invocation_id: int = 0,
    ) -> None:
        self.struct: dict = {}

        self.client_id: str = client_id
        self.conversation_id: str = conversation_id
        self.conversation_signature: str = conversation_signature
        self.invocation_id: int = invocation_id

    def update(
        self,
        prompt,
        conversation_style,
        options,
    ) -> None:
        """
        Updates request object
        """
        if options is None:
            options = [
                "deepleo",
                "enable_debug_commands",
                "disable_emoji_spoken_text",
                "enablemm",
            ]
        if conversation_style:
            if not isinstance(conversation_style, ConversationStyle):
                conversation_style = getattr(ConversationStyle, conversation_style)
            options = [
                "nlu_direct_response_filter",
                "deepleo",
                "disable_emoji_spoken_text",
                "responsible_ai_policy_235",
                "enablemm",
                conversation_style.value,
                "dtappid",
                "cricinfo",
                "cricinfov2",
                "dv3sugg",
            ]
        self.struct = {
            "arguments": [
                {
                    "source": "cib",
                    "optionsSets": options,
                    "sliceIds": [
                        "222dtappid",
                        "225cricinfo",
                        "224locals0",
                    ],
                    "traceId": _get_ran_hex(32),
                    "isStartOfSession": self.invocation_id == 0,
                    "message": {
                        "author": "user",
                        "inputMethod": "Keyboard",
                        "text": prompt,
                        "messageType": "Chat",
                    },
                    "conversationSignature": self.conversation_signature,
                    "participant": {
                        "id": self.client_id,
                    },
                    "conversationId": self.conversation_id,
                },
            ],
            "invocationId": str(self.invocation_id),
            "target": "chat",
            "type": 4,
        }
        self.invocation_id += 1


class _Conversation:
    """
    Conversation API
    """

    def __init__(
        self,
        cookies,
        proxy,
    ) -> None:
        self.struct: dict = {
            "conversationId": None,
            "clientId": None,
            "conversationSignature": None,
            "result": {"value": "Success", "message": None},
        }
        self.proxy = proxy
        proxy = (
            proxy
            or os.environ.get("all_proxy")
            or os.environ.get("ALL_PROXY")
            or os.environ.get("https_proxy")
            or os.environ.get("HTTPS_PROXY")
            or None
        )
        if proxy is not None and proxy.startswith("socks5h://"):
            proxy = "socks5://" + proxy[len("socks5h://") :]
        self.session = httpx.Client(
            proxies=proxy,
            timeout=30,
            headers=HEADERS_INIT_CONVER,
        )
        for cookie in cookies:
            self.session.cookies.set(cookie["name"], cookie["value"])

        # Send GET request
        response = self.session.get(
            url=os.environ.get("BING_PROXY_URL")
            or "https://edgeservices.bing.com/edgesvc/turing/conversation/create",
        )
        if response.status_code != 200:
            response = self.session.get(
                "https://edge.churchless.tech/edgesvc/turing/conversation/create",
            )
        if response.status_code != 200:
            print(f"Status code: {response.status_code}")
            print(response.text)
            print(response.url)
            raise Exception("Authentication failed")
        try:
            self.struct = response.json()
        except (json.decoder.JSONDecodeError, NotAllowedToAccess) as exc:
            raise Exception(
                "Authentication failed. You have not been accepted into the beta.",
            ) from exc
        if self.struct["result"]["value"] == "UnauthorizedRequest":
            raise NotAllowedToAccess(self.struct["result"]["message"])


class _ChatHub:
    """
    Chat API
    """

    def __init__(self, conversation) -> None:
        self.wss = None
        self.request: _ChatHubRequest
        self.loop: bool
        self.task: asyncio.Task
        print(conversation.struct)
        self.request = _ChatHubRequest(
            conversation_signature=conversation.struct["conversationSignature"],
            client_id=conversation.struct["clientId"],
            conversation_id=conversation.struct["conversationId"],
        )

    async def ask_stream(
        self,
        prompt: str,
        wss_link: str,
        conversation_style: CONVERSATION_STYLE_TYPE = None,
        raw: bool = False,
        options: dict = None,
    ) -> Generator[str, None, None]:
        """
        Ask a question to the bot
        """
        if self.wss and not self.wss.closed:
            await self.wss.close()
        # Check if websocket is closed
        self.wss = await websockets.connect(
            wss_link,
            extra_headers=HEADERS,
            max_size=None,
            ssl=ssl_context,
        )
        await self._initial_handshake()
        # Construct a ChatHub request
        self.request.update(
            prompt=prompt,
            conversation_style=conversation_style,
            options=options,
        )
        # Send request
        await self.wss.send(_append_identifier(self.request.struct))
        final = False
        while not final:
            objects = str(await self.wss.recv()).split(DELIMITER)
            for obj in objects:
                if obj is None or not obj:
                    continue
                response = json.loads(obj)
                if response.get("type") != 2 and raw:
                    yield False, response
                elif response.get("type") == 1 and response["arguments"][0].get(
                    "messages",
                ):
                    resp_txt = response["arguments"][0]["messages"][0]["adaptiveCards"][
                        0
                    ]["body"][0].get("text")
                    yield False, resp_txt
                elif response.get("type") == 2:
                    final = True
                    yield True, response

    async def _initial_handshake(self) -> None:
        await self.wss.send(_append_identifier({"protocol": "json", "version": 1}))
        await self.wss.recv()

    async def close(self) -> None:
        """
        Close the connection
        """
        if self.wss and not self.wss.closed:
            await self.wss.close()


class Chatbot:
    """
    Combines everything to make it seamless
    """

    def __init__(
        self,
        cookies,
        proxy
    ) -> None:
        if cookies is None:
            cookies = {}
        self.cookies = cookies
        self.proxy = proxy
        self.chat_hub: _ChatHub = _ChatHub(
            _Conversation(self.cookies, self.proxy),
        )

    async def ask(
        self,
        prompt: str,
        wss_link: str = "wss://sydney.bing.com/sydney/ChatHub",
        conversation_style: CONVERSATION_STYLE_TYPE = None,
        options: dict = None,
    ) -> dict:
        """
        Ask a question to the bot
        """
        async for final, response in self.chat_hub.ask_stream(
            prompt=prompt,
            conversation_style=conversation_style,
            wss_link=wss_link,
            options=options,
        ):
            if final:
                return response
        await self.chat_hub.wss.close()
        return None

    async def ask_stream(
        self,
        prompt: str,
        wss_link: str = "wss://sydney.bing.com/sydney/ChatHub",
        conversation_style: CONVERSATION_STYLE_TYPE = None,
        raw: bool = False,
        options: dict = None,
    ) -> Generator[str, None, None]:
        """
        Ask a question to the bot
        """
        async for response in self.chat_hub.ask_stream(
            prompt=prompt,
            conversation_style=conversation_style,
            wss_link=wss_link,
            raw=raw,
            options=options,
        ):
            yield response

    async def close(self) -> None:
        """
        Close the connection
        """
        await self.chat_hub.close()

    async def reset(self) -> None:
        """
        Reset the conversation
        """
        await self.close()
        self.chat_hub = _ChatHub(_Conversation(self.cookies))



load_message = ""

"""
========================================================================
第二部分：子进程Worker
========================================================================
"""
import time
import importlib
from toolbox import update_ui, get_conf, trimmed_format_exc
from multiprocessing import Process, Pipe
class GetNewBingHandle(Process):
    def __init__(self):
        super().__init__(daemon=True)
        self.parent, self.child = Pipe()
        self.newbing_model = None
        self.info = ""
        self.success = True
        self.local_history = []
        self.check_dependency()
        self.start()
        
    def check_dependency(self):
        try:
            self.info = "依赖检测通过"
            self.success = True
        except:
            self.info = "缺少的依赖，如果要使用Newbing，除了基础的pip依赖以外，您还需要运行`pip install -r request_llm/requirements_newbing.txt`安装Newbing的依赖。"
            self.success = False

    def ready(self):
        return self.newbing_model is not None

    async def async_run(self, question, history):
        # 读取配置
        NEWBING_STYLE, = get_conf('NEWBING_STYLE')
        from request_llm.bridge_all import model_info
        endpoint = model_info['newbing']['endpoint']
        
        # 开始问问题
        self.local_history.append(question)
        async for final, response in self.newbing_model.ask_stream(
            prompt=question,
            conversation_style=NEWBING_STYLE,     # ["creative", "balanced", "precise"]
            wss_link=endpoint,                      # "wss://sydney.bing.com/sydney/ChatHub"
        ):
            if not final:
                self.child.send(str(response))
                print(response)

    def run(self):
        # 第一次运行，加载参数
        retry = 0
        self.local_history = []
        while True:
            try:
                if self.newbing_model is None:
                    proxies, = get_conf('proxies')
                    NEWBING_COOKIES, = get_conf('NEWBING_COOKIES')
                    cookies = json.loads(NEWBING_COOKIES)
                    self.newbing_model = Chatbot(proxy=proxies['https'], cookies=cookies)
                    break
                else:
                    break
            except:
                retry += 1
                if retry > 3: 
                    self.child.send('[Local Message] 不能加载Newbing组件。')
                    self.success = False
                    raise RuntimeError("不能加载Newbing组件。")

        # 进入任务等待状态
        while True:
            kwargs = self.child.recv()
            try:
                asyncio.run(self.async_run(question=kwargs['query'], history=kwargs['history']))
            except:
                tb_str = '```\n' + trimmed_format_exc() + '```'
                self.child.send('[Local Message] Newbing失败.')
            self.child.send('[Finish]')

    def stream_chat(self, **kwargs):
        self.parent.send(kwargs)
        while True:
            res = self.parent.recv()
            if res != '[Finish]':
                yield res
            else:
                break
        return
    

"""
========================================================================
第三部分：主进程统一调用函数接口
========================================================================
"""
global newbing_handle
newbing_handle = None

def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
    """
        多线程方法
        函数的说明请见 request_llm/bridge_all.py
    """
    global newbing_handle
    if newbing_handle is None or (not newbing_handle.success):
        newbing_handle = GetNewBingHandle()
        observe_window[0] = load_message + "\n\n" + newbing_handle.info
        if not newbing_handle.success: 
            error = newbing_handle.info
            newbing_handle = None
            raise RuntimeError(error)

    # 没有 sys_prompt 接口，因此把prompt加入 history
    history_feedin = []
    history_feedin.append(["What can I do?", sys_prompt])
    for i in range(len(history)//2):
        history_feedin.append([history[2*i], history[2*i+1]] )

    watch_dog_patience = 5 # 看门狗 (watchdog) 的耐心, 设置5秒即可
    response = ""
    for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
        observe_window[0] = response
        if len(observe_window) >= 2:  
            if (time.time()-observe_window[1]) > watch_dog_patience:
                raise RuntimeError("程序终止。")
    return response



def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
    """
        单线程方法
        函数的说明请见 request_llm/bridge_all.py
    """
    chatbot.append((inputs, ""))

    global newbing_handle
    if newbing_handle is None or (not newbing_handle.success):
        newbing_handle = GetNewBingHandle()
        chatbot[-1] = (inputs, load_message + "\n\n" + newbing_handle.info)
        yield from update_ui(chatbot=chatbot, history=[])
        if not newbing_handle.success: 
            newbing_handle = None
            return

    if additional_fn is not None:
        import core_functional
        importlib.reload(core_functional)    # 热更新prompt
        core_functional = core_functional.get_core_functions()
        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]

    history_feedin = []
    history_feedin.append(["What can I do?", system_prompt] )
    for i in range(len(history)//2):
        history_feedin.append([history[2*i], history[2*i+1]] )

    for response in newbing_handle.stream_chat(query=inputs, history=history_feedin, max_length=llm_kwargs['max_length'], top_p=llm_kwargs['top_p'], temperature=llm_kwargs['temperature']):
        chatbot[-1] = (inputs, response)
        yield from update_ui(chatbot=chatbot, history=history)

    history.extend([inputs, response])
    yield from update_ui(chatbot=chatbot, history=history)