path: root/g4f/Provider/Bing.py

from __future__ import annotations

import random
import json
import os
import uuid
import time
from urllib import parse
from aiohttp import ClientSession, ClientTimeout

from ..typing import AsyncResult, Messages, ImageType
from ..image import ImageResponse
from .base_provider import AsyncGeneratorProvider
from .bing.upload_image import upload_image
from .bing.create_images import create_images
from .bing.conversation import Conversation, create_conversation, delete_conversation

class Tones():
    creative = "Creative"
    balanced = "Balanced"
    precise = "Precise"

class Bing(AsyncGeneratorProvider):
    url = "https://bing.com/chat"
    working = True
    supports_message_history = True
    supports_gpt_4 = True
        
    @staticmethod
    def create_async_generator(
        model: str,
        messages: Messages,
        proxy: str = None,
        timeout: int = 900,
        cookies: dict = None,
        tone: str = Tones.balanced,
        image: ImageType = None,
        web_search: bool = False,
        **kwargs
    ) -> AsyncResult:
        if len(messages) < 2:
            prompt = messages[0]["content"]
            context = None
        else:
            prompt = messages[-1]["content"]
            context = create_context(messages[:-1])
        
        if not cookies:
            cookies = Defaults.cookies
        else:
            for key, value in Defaults.cookies.items():
                if key not in cookies:
                    cookies[key] = value

        gpt4_turbo = True if model.startswith("gpt-4-turbo") else False

        return stream_generate(prompt, tone, image, context, proxy, cookies, web_search, gpt4_turbo, timeout)

def create_context(messages: Messages):
    return "".join(
        f"[{message['role']}]" + ("(#message)" if message['role']!="system" else "(#additional_instructions)") + f"\n{message['content']}\n\n"
        for message in messages
    )

class Defaults:
    delimiter = "\x1e"
    ip_address = f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}"

    allowedMessageTypes = [
        "ActionRequest",
        "Chat",
        "Context",
        # "Disengaged", unwanted
        "Progress",
        # "AdsQuery", unwanted
        "SemanticSerp",
        "GenerateContentQuery",
        "SearchQuery",
        # The following message types should not be added so that it does not flood with
        # useless messages (such as "Analyzing images" or "Searching the web") while it's retrieving the AI response
        # "InternalSearchQuery",
        # "InternalSearchResult",
        "RenderCardRequest",
        # "RenderContentRequest"
    ]

    sliceIds = [
        'abv2',
        'srdicton',
        'convcssclick',
        'stylewv2',
        'contctxp2tf',
        '802fluxv1pc_a',
        '806log2sphs0',
        '727savemem',
        '277teditgnds0',
        '207hlthgrds0',
    ]

    location = {
        "locale": "en-US",
        "market": "en-US",
        "region": "US",
        "locationHints": [
            {
                "country": "United States",
                "state": "California",
                "city": "Los Angeles",
                "timezoneoffset": 8,
                "countryConfidence": 8,
                "Center": {"Latitude": 34.0536909, "Longitude": -118.242766},
                "RegionType": 2,
                "SourceType": 1,
            }
        ],
    }

    headers = {
        'accept': '*/*',
        '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': ip_address,
    }

    optionsSets = [
        'nlu_direct_response_filter',
        'deepleo',
        'disable_emoji_spoken_text',
        'responsible_ai_policy_235',
        'enablemm',
        'iyxapbing',
        'iycapbing',
        'gencontentv3',
        'fluxsrtrunc',
        'fluxtrunc',
        'fluxv1',
        'rai278',
        'replaceurl',
        'eredirecturl',
        'nojbfedge'
    ]
    
    cookies = {
        'SRCHD'         : 'AF=NOFORM',
        'PPLState'      : '1',
        'KievRPSSecAuth': '',
        'SUID'          : '',
        'SRCHUSR'       : '',
        'SRCHHPGUSR'    : f'HV={int(time.time())}',
    }

def format_message(msg: dict) -> str:
    return json.dumps(msg, ensure_ascii=False) + Defaults.delimiter

def create_message(
    conversation: Conversation,
    prompt: str,
    tone: str,
    context: str = None,
    image_response: ImageResponse = None,
    web_search: bool = False,
    gpt4_turbo: bool = False
) -> str:
    options_sets = Defaults.optionsSets
    if tone == Tones.creative:
        options_sets.append("h3imaginative")
    elif tone == Tones.precise:
        options_sets.append("h3precise")
    elif tone == Tones.balanced:
        options_sets.append("galileo")
    else:
        options_sets.append("harmonyv3")
        
    if not web_search:
        options_sets.append("nosearchall")

    if gpt4_turbo:
        options_sets.append("dlgpt4t")
    
    request_id = str(uuid.uuid4())
    struct = {
        'arguments': [
            {
                'source': 'cib',
                'optionsSets': options_sets,
                'allowedMessageTypes': Defaults.allowedMessageTypes,
                'sliceIds': Defaults.sliceIds,
                'traceId': os.urandom(16).hex(),
                'isStartOfSession': True,
                'requestId': request_id,
                'message': {**Defaults.location, **{
                    'author': 'user',
                    'inputMethod': 'Keyboard',
                    'text': prompt,
                    'messageType': 'Chat',
                    'requestId': request_id,
                    'messageId': request_id,
                }},
                "verbosity": "verbose",
                "scenario": "SERP",
                "plugins":[
                    {"id":"c310c353-b9f0-4d76-ab0d-1dd5e979cf68", "category": 1}
                ] if web_search else [],
                'tone': tone,
                'spokenTextMode': 'None',
                'conversationId': conversation.conversationId,
                'participant': {
                    'id': conversation.clientId
                },
            }
        ],
        'invocationId': '1',
        'target': 'chat',
        'type': 4
    }
    if image_response.get('imageUrl') and image_response.get('originalImageUrl'):
        struct['arguments'][0]['message']['originalImageUrl'] = image_response.get('originalImageUrl')
        struct['arguments'][0]['message']['imageUrl'] = image_response.get('imageUrl')
        struct['arguments'][0]['experienceType'] = None
        struct['arguments'][0]['attachedFileInfo'] = {"fileName": None, "fileType": None}
    if context:
        struct['arguments'][0]['previousMessages'] = [{
            "author": "user",
            "description": context,
            "contextType": "WebPage",
            "messageType": "Context",
            "messageId": "discover-web--page-ping-mriduna-----"
        }]
    return format_message(struct)

async def stream_generate(
        prompt: str,
        tone: str,
        image: ImageType = None,
        context: str = None,
        proxy: str = None,
        cookies: dict = None,
        web_search: bool = False,
        gpt4_turbo: bool = False,
        timeout: int = 900
    ):
    headers = Defaults.headers
    if cookies:
        headers["Cookie"] = "; ".join(f"{k}={v}" for k, v in cookies.items())
    async with ClientSession(
        timeout=ClientTimeout(total=timeout),
        headers=headers
    ) as session:
        conversation = await create_conversation(session, proxy)
        image_response = await upload_image(session, image, tone, proxy) if image else None
        if image_response:
            yield image_response
        try:
            async with session.ws_connect(
                'wss://sydney.bing.com/sydney/ChatHub',
                autoping=False,
                params={'sec_access_token': conversation.conversationSignature},
                proxy=proxy
            ) as wss:
                await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
                await wss.receive(timeout=timeout)
                await wss.send_str(create_message(conversation, prompt, tone, context, image_response, web_search, gpt4_turbo))

                response_txt = ''
                returned_text = ''
                final = False
                while not final:
                    msg = await wss.receive(timeout=timeout)
                    if not msg.data:
                        continue
                    objects = msg.data.split(Defaults.delimiter)
                    for obj in objects:
                        if obj is None or not obj:
                            continue
                        response = json.loads(obj)
                        if response.get('type') == 1 and response['arguments'][0].get('messages'):
                            message = response['arguments'][0]['messages'][0]
                            image_response = None
                            if (message['contentOrigin'] != 'Apology'):
                                if 'adaptiveCards' in message:
                                    card = message['adaptiveCards'][0]['body'][0]
                                    if "text" in card:
                                        response_txt = card.get('text')
                                    if message.get('messageType'):
                                        inline_txt = card['inlines'][0].get('text')
                                        response_txt += inline_txt + '\n'
                                elif message.get('contentType') == "IMAGE":
                                    prompt = message.get('text')
                                    try:
                                        image_response = ImageResponse(await create_images(session, prompt, proxy), prompt)
                                    except:
                                        response_txt += f"\nhttps://www.bing.com/images/create?q={parse.quote(prompt)}"
                                    final = True
                            if response_txt.startswith(returned_text):
                                new = response_txt[len(returned_text):]
                                if new != "\n":
                                    yield new
                                    returned_text = response_txt
                            if image_response:
                                yield image_response
                        elif response.get('type') == 2:
                            result = response['item']['result']
                            if result.get('error'):
                                if result["value"] == "CaptchaChallenge":
                                    raise Exception(f"{result['value']}: Use other cookies or/and ip address")
                                else:
                                    raise Exception(f"{result['value']}: {result['message']}")
                            return
        finally:
            await delete_conversation(session, conversation, proxy)