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)