diff options
Diffstat (limited to '')
| -rw-r--r-- | g4f/Provider/Bing.py | 230 | ||||
| -rw-r--r-- | g4f/Provider/FreeChatgpt.py | 15 | ||||
| -rw-r--r-- | g4f/Provider/base_provider.py | 127 | ||||
| -rw-r--r-- | g4f/Provider/bing/conversation.py | 44 | ||||
| -rw-r--r-- | g4f/Provider/bing/create_images.py | 224 | ||||
| -rw-r--r-- | g4f/Provider/bing/upload_image.py | 188 | ||||
| -rw-r--r-- | g4f/Provider/helper.py | 143 | ||||
| -rw-r--r-- | g4f/Provider/needs_auth/OpenaiChat.py | 339 | ||||
| -rw-r--r-- | g4f/Provider/retry_provider.py | 58 |
9 files changed, 886 insertions, 482 deletions
diff --git a/g4f/Provider/Bing.py b/g4f/Provider/Bing.py index 50e29d23..34687866 100644 --- a/g4f/Provider/Bing.py +++ b/g4f/Provider/Bing.py @@ -15,12 +15,18 @@ 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(): +class Tones: + """ + Defines the different tone options for the Bing provider. + """ creative = "Creative" balanced = "Balanced" precise = "Precise" class Bing(AsyncGeneratorProvider): + """ + Bing provider for generating responses using the Bing API. + """ url = "https://bing.com/chat" working = True supports_message_history = True @@ -38,6 +44,19 @@ class Bing(AsyncGeneratorProvider): web_search: bool = False, **kwargs ) -> AsyncResult: + """ + Creates an asynchronous generator for producing responses from Bing. + + :param model: The model to use. + :param messages: Messages to process. + :param proxy: Proxy to use for requests. + :param timeout: Timeout for requests. + :param cookies: Cookies for the session. + :param tone: The tone of the response. + :param image: The image type to be used. + :param web_search: Flag to enable or disable web search. + :return: An asynchronous result object. + """ if len(messages) < 2: prompt = messages[0]["content"] context = None @@ -56,65 +75,48 @@ class Bing(AsyncGeneratorProvider): return stream_generate(prompt, tone, image, context, proxy, cookies, web_search, gpt4_turbo, timeout) -def create_context(messages: Messages): +def create_context(messages: Messages) -> str: + """ + Creates a context string from a list of messages. + + :param messages: A list of message dictionaries. + :return: A string representing the context created from the messages. + """ return "".join( - f"[{message['role']}]" + ("(#message)" if message['role']!="system" else "(#additional_instructions)") + f"\n{message['content']}\n\n" + f"[{message['role']}]" + ("(#message)" if message['role'] != "system" else "(#additional_instructions)") + f"\n{message['content']}\n\n" for message in messages ) class Defaults: + """ + Default settings and configurations for the Bing provider. + """ delimiter = "\x1e" ip_address = f"13.{random.randint(104, 107)}.{random.randint(0, 255)}.{random.randint(0, 255)}" + # List of allowed message types for Bing responses 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" + "ActionRequest", "Chat", "Context", "Progress", "SemanticSerp", + "GenerateContentQuery", "SearchQuery", "RenderCardRequest" ] sliceIds = [ - 'abv2', - 'srdicton', - 'convcssclick', - 'stylewv2', - 'contctxp2tf', - '802fluxv1pc_a', - '806log2sphs0', - '727savemem', - '277teditgnds0', - '207hlthgrds0', + 'abv2', 'srdicton', 'convcssclick', 'stylewv2', 'contctxp2tf', + '802fluxv1pc_a', '806log2sphs0', '727savemem', '277teditgnds0', '207hlthgrds0' ] + # Default location settings 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, - } - ], + "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 + }], } + # Default headers for requests headers = { 'accept': '*/*', 'accept-language': 'en-US,en;q=0.9', @@ -139,23 +141,13 @@ class Defaults: } 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' + 'nlu_direct_response_filter', 'deepleo', 'disable_emoji_spoken_text', + 'responsible_ai_policy_235', 'enablemm', 'iyxapbing', 'iycapbing', + 'gencontentv3', 'fluxsrtrunc', 'fluxtrunc', 'fluxv1', 'rai278', + 'replaceurl', 'eredirecturl', 'nojbfedge' ] + # Default cookies cookies = { 'SRCHD' : 'AF=NOFORM', 'PPLState' : '1', @@ -166,6 +158,12 @@ class Defaults: } def format_message(msg: dict) -> str: + """ + Formats a message dictionary into a JSON string with a delimiter. + + :param msg: The message dictionary to format. + :return: A formatted string representation of the message. + """ return json.dumps(msg, ensure_ascii=False) + Defaults.delimiter def create_message( @@ -177,7 +175,20 @@ def create_message( web_search: bool = False, gpt4_turbo: bool = False ) -> str: + """ + Creates a message for the Bing API with specified parameters. + + :param conversation: The current conversation object. + :param prompt: The user's input prompt. + :param tone: The desired tone for the response. + :param context: Additional context for the prompt. + :param image_response: The response if an image is involved. + :param web_search: Flag to enable web search. + :param gpt4_turbo: Flag to enable GPT-4 Turbo. + :return: A formatted string message for the Bing API. + """ options_sets = Defaults.optionsSets + # Append tone-specific options if tone == Tones.creative: options_sets.append("h3imaginative") elif tone == Tones.precise: @@ -186,54 +197,49 @@ def create_message( options_sets.append("galileo") else: options_sets.append("harmonyv3") - + + # Additional configurations based on parameters 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, + '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, - '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 - }, - } - ], + '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'): + + if image_response and 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", @@ -242,30 +248,46 @@ def create_message( "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 - ): + 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 +): + """ + Asynchronously streams generated responses from the Bing API. + + :param prompt: The user's input prompt. + :param tone: The desired tone for the response. + :param image: The image type involved in the response. + :param context: Additional context for the prompt. + :param proxy: Proxy settings for the request. + :param cookies: Cookies for the session. + :param web_search: Flag to enable web search. + :param gpt4_turbo: Flag to enable GPT-4 Turbo. + :param timeout: Timeout for the request. + :return: An asynchronous generator yielding responses. + """ 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 + 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', @@ -289,7 +311,7 @@ async def stream_generate( if obj is None or not obj: continue response = json.loads(obj) - if response.get('type') == 1 and response['arguments'][0].get('messages'): + if response and response.get('type') == 1 and response['arguments'][0].get('messages'): message = response['arguments'][0]['messages'][0] image_response = None if (message['contentOrigin'] != 'Apology'): diff --git a/g4f/Provider/FreeChatgpt.py b/g4f/Provider/FreeChatgpt.py index 75514118..0f993690 100644 --- a/g4f/Provider/FreeChatgpt.py +++ b/g4f/Provider/FreeChatgpt.py @@ -1,16 +1,20 @@ from __future__ import annotations -import json +import json, random from aiohttp import ClientSession from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider - models = { - "claude-v2": "claude-2.0", - "gemini-pro": "google-gemini-pro" + "claude-v2": "claude-2.0", + "claude-v2.1":"claude-2.1", + "gemini-pro": "google-gemini-pro" } +urls = [ + "https://free.chatgpt.org.uk", + "https://ai.chatgpt.org.uk" +] class FreeChatgpt(AsyncGeneratorProvider): url = "https://free.chatgpt.org.uk" @@ -31,6 +35,7 @@ class FreeChatgpt(AsyncGeneratorProvider): model = models[model] elif not model: model = "gpt-3.5-turbo" + url = random.choice(urls) headers = { "Accept": "application/json, text/event-stream", "Content-Type":"application/json", @@ -55,7 +60,7 @@ class FreeChatgpt(AsyncGeneratorProvider): "top_p":1, **kwargs } - async with session.post(f'{cls.url}/api/openai/v1/chat/completions', json=data, proxy=proxy) as response: + async with session.post(f'{url}/api/openai/v1/chat/completions', json=data, proxy=proxy) as response: response.raise_for_status() started = False async for line in response.content: diff --git a/g4f/Provider/base_provider.py b/g4f/Provider/base_provider.py index e7e88841..3c083bda 100644 --- a/g4f/Provider/base_provider.py +++ b/g4f/Provider/base_provider.py @@ -1,28 +1,29 @@ from __future__ import annotations - import sys import asyncio -from asyncio import AbstractEventLoop +from asyncio import AbstractEventLoop from concurrent.futures import ThreadPoolExecutor -from abc import abstractmethod -from inspect import signature, Parameter -from .helper import get_event_loop, get_cookies, format_prompt -from ..typing import CreateResult, AsyncResult, Messages -from ..base_provider import BaseProvider +from abc import abstractmethod +from inspect import signature, Parameter +from .helper import get_event_loop, get_cookies, format_prompt +from ..typing import CreateResult, AsyncResult, Messages +from ..base_provider import BaseProvider if sys.version_info < (3, 10): NoneType = type(None) else: from types import NoneType -# Change event loop policy on windows for curl_cffi +# Set Windows event loop policy for better compatibility with asyncio and curl_cffi if sys.platform == 'win32': - if isinstance( - asyncio.get_event_loop_policy(), asyncio.WindowsProactorEventLoopPolicy - ): + if isinstance(asyncio.get_event_loop_policy(), asyncio.WindowsProactorEventLoopPolicy): asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) class AbstractProvider(BaseProvider): + """ + Abstract class for providing asynchronous functionality to derived classes. + """ + @classmethod async def create_async( cls, @@ -33,62 +34,50 @@ class AbstractProvider(BaseProvider): executor: ThreadPoolExecutor = None, **kwargs ) -> str: - if not loop: - loop = get_event_loop() + """ + Asynchronously creates a result based on the given model and messages. + """ + loop = loop or get_event_loop() def create_func() -> str: - return "".join(cls.create_completion( - model, - messages, - False, - **kwargs - )) + return "".join(cls.create_completion(model, messages, False, **kwargs)) return await asyncio.wait_for( - loop.run_in_executor( - executor, - create_func - ), + loop.run_in_executor(executor, create_func), timeout=kwargs.get("timeout", 0) ) @classmethod @property def params(cls) -> str: - if issubclass(cls, AsyncGeneratorProvider): - sig = signature(cls.create_async_generator) - elif issubclass(cls, AsyncProvider): - sig = signature(cls.create_async) - else: - sig = signature(cls.create_completion) + """ + Returns the parameters supported by the provider. + """ + sig = signature( + cls.create_async_generator if issubclass(cls, AsyncGeneratorProvider) else + cls.create_async if issubclass(cls, AsyncProvider) else + cls.create_completion + ) def get_type_name(annotation: type) -> str: - if hasattr(annotation, "__name__"): - annotation = annotation.__name__ - elif isinstance(annotation, NoneType): - annotation = "None" - return str(annotation) - + return annotation.__name__ if hasattr(annotation, "__name__") else str(annotation) + args = "" for name, param in sig.parameters.items(): - if name in ("self", "kwargs"): + if name in ("self", "kwargs") or (name == "stream" and not cls.supports_stream): continue - if name == "stream" and not cls.supports_stream: - continue - if args: - args += ", " - args += "\n " + name - if name != "model" and param.annotation is not Parameter.empty: - args += f": {get_type_name(param.annotation)}" - if param.default == "": - args += ' = ""' - elif param.default is not Parameter.empty: - args += f" = {param.default}" + args += f"\n {name}" + args += f": {get_type_name(param.annotation)}" if param.annotation is not Parameter.empty else "" + args += f' = "{param.default}"' if param.default == "" else f" = {param.default}" if param.default is not Parameter.empty else "" return f"g4f.Provider.{cls.__name__} supports: ({args}\n)" class AsyncProvider(AbstractProvider): + """ + Provides asynchronous functionality for creating completions. + """ + @classmethod def create_completion( cls, @@ -99,8 +88,10 @@ class AsyncProvider(AbstractProvider): loop: AbstractEventLoop = None, **kwargs ) -> CreateResult: - if not loop: - loop = get_event_loop() + """ + Creates a completion result synchronously. + """ + loop = loop or get_event_loop() coro = cls.create_async(model, messages, **kwargs) yield loop.run_until_complete(coro) @@ -111,10 +102,16 @@ class AsyncProvider(AbstractProvider): messages: Messages, **kwargs ) -> str: + """ + Abstract method for creating asynchronous results. + """ raise NotImplementedError() class AsyncGeneratorProvider(AsyncProvider): + """ + Provides asynchronous generator functionality for streaming results. + """ supports_stream = True @classmethod @@ -127,15 +124,13 @@ class AsyncGeneratorProvider(AsyncProvider): loop: AbstractEventLoop = None, **kwargs ) -> CreateResult: - if not loop: - loop = get_event_loop() - generator = cls.create_async_generator( - model, - messages, - stream=stream, - **kwargs - ) + """ + Creates a streaming completion result synchronously. + """ + loop = loop or get_event_loop() + generator = cls.create_async_generator(model, messages, stream=stream, **kwargs) gen = generator.__aiter__() + while True: try: yield loop.run_until_complete(gen.__anext__()) @@ -149,21 +144,23 @@ class AsyncGeneratorProvider(AsyncProvider): messages: Messages, **kwargs ) -> str: + """ + Asynchronously creates a result from a generator. + """ return "".join([ - chunk async for chunk in cls.create_async_generator( - model, - messages, - stream=False, - **kwargs - ) if not isinstance(chunk, Exception) + chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs) + if not isinstance(chunk, Exception) ]) @staticmethod @abstractmethod - def create_async_generator( + async def create_async_generator( model: str, messages: Messages, stream: bool = True, **kwargs ) -> AsyncResult: - raise NotImplementedError() + """ + Abstract method for creating an asynchronous generator. + """ + raise NotImplementedError()
\ No newline at end of file diff --git a/g4f/Provider/bing/conversation.py b/g4f/Provider/bing/conversation.py index 9e011c26..36ada3b0 100644 --- a/g4f/Provider/bing/conversation.py +++ b/g4f/Provider/bing/conversation.py @@ -1,13 +1,33 @@ from aiohttp import ClientSession - -class Conversation(): +class Conversation: + """ + Represents a conversation with specific attributes. + """ def __init__(self, conversationId: str, clientId: str, conversationSignature: str) -> None: + """ + Initialize a new conversation instance. + + Args: + conversationId (str): Unique identifier for the conversation. + clientId (str): Client identifier. + conversationSignature (str): Signature for the conversation. + """ self.conversationId = conversationId self.clientId = clientId self.conversationSignature = conversationSignature async def create_conversation(session: ClientSession, proxy: str = None) -> Conversation: + """ + Create a new conversation asynchronously. + + Args: + session (ClientSession): An instance of aiohttp's ClientSession. + proxy (str, optional): Proxy URL. Defaults to None. + + Returns: + Conversation: An instance representing the created conversation. + """ url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1199.4' async with session.get(url, proxy=proxy) as response: try: @@ -24,12 +44,32 @@ async def create_conversation(session: ClientSession, proxy: str = None) -> Conv return Conversation(conversationId, clientId, conversationSignature) async def list_conversations(session: ClientSession) -> list: + """ + List all conversations asynchronously. + + Args: + session (ClientSession): An instance of aiohttp's ClientSession. + + Returns: + list: A list of conversations. + """ url = "https://www.bing.com/turing/conversation/chats" async with session.get(url) as response: response = await response.json() return response["chats"] async def delete_conversation(session: ClientSession, conversation: Conversation, proxy: str = None) -> bool: + """ + Delete a conversation asynchronously. + + Args: + session (ClientSession): An instance of aiohttp's ClientSession. + conversation (Conversation): The conversation to delete. + proxy (str, optional): Proxy URL. Defaults to None. + + Returns: + bool: True if deletion was successful, False otherwise. + """ url = "https://sydney.bing.com/sydney/DeleteSingleConversation" json = { "conversationId": conversation.conversationId, diff --git a/g4f/Provider/bing/create_images.py b/g4f/Provider/bing/create_images.py index a1ecace3..29daccbd 100644 --- a/g4f/Provider/bing/create_images.py +++ b/g4f/Provider/bing/create_images.py @@ -1,9 +1,16 @@ +""" +This module provides functionalities for creating and managing images using Bing's service. +It includes functions for user login, session creation, image creation, and processing. +""" + import asyncio -import time, json, os +import time +import json +import os from aiohttp import ClientSession from bs4 import BeautifulSoup from urllib.parse import quote -from typing import Generator +from typing import Generator, List, Dict from ..create_images import CreateImagesProvider from ..helper import get_cookies, get_event_loop @@ -12,23 +19,47 @@ from ...base_provider import ProviderType from ...image import format_images_markdown BING_URL = "https://www.bing.com" +TIMEOUT_LOGIN = 1200 +TIMEOUT_IMAGE_CREATION = 300 +ERRORS = [ + "this prompt is being reviewed", + "this prompt has been blocked", + "we're working hard to offer image creator in more languages", + "we can't create your images right now" +] +BAD_IMAGES = [ + "https://r.bing.com/rp/in-2zU3AJUdkgFe7ZKv19yPBHVs.png", + "https://r.bing.com/rp/TX9QuO3WzcCJz1uaaSwQAz39Kb0.jpg", +] + +def wait_for_login(driver: WebDriver, timeout: int = TIMEOUT_LOGIN) -> None: + """ + Waits for the user to log in within a given timeout period. -def wait_for_login(driver: WebDriver, timeout: int = 1200) -> None: + Args: + driver (WebDriver): Webdriver for browser automation. + timeout (int): Maximum waiting time in seconds. + + Raises: + RuntimeError: If the login process exceeds the timeout. + """ driver.get(f"{BING_URL}/") - value = driver.get_cookie("_U") - if value: - return start_time = time.time() - while True: + while not driver.get_cookie("_U"): if time.time() - start_time > timeout: raise RuntimeError("Timeout error") - value = driver.get_cookie("_U") - if value: - time.sleep(1) - return time.sleep(0.5) -def create_session(cookies: dict) -> ClientSession: +def create_session(cookies: Dict[str, str]) -> ClientSession: + """ + Creates a new client session with specified cookies and headers. + + Args: + cookies (Dict[str, str]): Cookies to be used for the session. + + Returns: + ClientSession: The created client session. + """ headers = { "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-encoding": "gzip, deflate, br", @@ -47,28 +78,32 @@ def create_session(cookies: dict) -> ClientSession: "upgrade-insecure-requests": "1", } if cookies: - headers["cookie"] = "; ".join(f"{k}={v}" for k, v in cookies.items()) + headers["Cookie"] = "; ".join(f"{k}={v}" for k, v in cookies.items()) return ClientSession(headers=headers) -async def create_images(session: ClientSession, prompt: str, proxy: str = None, timeout: int = 300) -> list: - url_encoded_prompt = quote(prompt) +async def create_images(session: ClientSession, prompt: str, proxy: str = None, timeout: int = TIMEOUT_IMAGE_CREATION) -> List[str]: + """ + Creates images based on a given prompt using Bing's service. + + Args: + session (ClientSession): Active client session. + prompt (str): Prompt to generate images. + proxy (str, optional): Proxy configuration. + timeout (int): Timeout for the request. + + Returns: + List[str]: A list of URLs to the created images. + + Raises: + RuntimeError: If image creation fails or times out. + """ + url_encoded_prompt = quote(prompt) payload = f"q={url_encoded_prompt}&rt=4&FORM=GENCRE" url = f"{BING_URL}/images/create?q={url_encoded_prompt}&rt=4&FORM=GENCRE" - async with session.post( - url, - allow_redirects=False, - data=payload, - timeout=timeout, - ) as response: + async with session.post(url, allow_redirects=False, data=payload, timeout=timeout) as response: response.raise_for_status() - errors = [ - "this prompt is being reviewed", - "this prompt has been blocked", - "we're working hard to offer image creator in more languages", - "we can't create your images right now" - ] text = (await response.text()).lower() - for error in errors: + for error in ERRORS: if error in text: raise RuntimeError(f"Create images failed: {error}") if response.status != 302: @@ -107,54 +142,109 @@ async def create_images(session: ClientSession, prompt: str, proxy: str = None, raise RuntimeError(error) return read_images(text) -def read_images(text: str) -> list: - html_soup = BeautifulSoup(text, "html.parser") - tags = html_soup.find_all("img") - image_links = [img["src"] for img in tags if "mimg" in img["class"]] - images = [link.split("?w=")[0] for link in image_links] - bad_images = [ - "https://r.bing.com/rp/in-2zU3AJUdkgFe7ZKv19yPBHVs.png", - "https://r.bing.com/rp/TX9QuO3WzcCJz1uaaSwQAz39Kb0.jpg", - ] - if any(im in bad_images for im in images): +def read_images(html_content: str) -> List[str]: + """ + Extracts image URLs from the HTML content. + + Args: + html_content (str): HTML content containing image URLs. + + Returns: + List[str]: A list of image URLs. + """ + soup = BeautifulSoup(html_content, "html.parser") + tags = soup.find_all("img", class_="mimg") + images = [img["src"].split("?w=")[0] for img in tags] + if any(im in BAD_IMAGES for im in images): raise RuntimeError("Bad images found") if not images: raise RuntimeError("No images found") return images -async def create_images_markdown(cookies: dict, prompt: str, proxy: str = None) -> str: - session = create_session(cookies) - try: +async def create_images_markdown(cookies: Dict[str, str], prompt: str, proxy: str = None) -> str: + """ + Creates markdown formatted string with images based on the prompt. + + Args: + cookies (Dict[str, str]): Cookies to be used for the session. + prompt (str): Prompt to generate images. + proxy (str, optional): Proxy configuration. + + Returns: + str: Markdown formatted string with images. + """ + async with create_session(cookies) as session: images = await create_images(session, prompt, proxy) return format_images_markdown(images, prompt) - finally: - await session.close() -def get_cookies_from_browser(proxy: str = None) -> dict: - driver = get_browser(proxy=proxy) - try: +def get_cookies_from_browser(proxy: str = None) -> Dict[str, str]: + """ + Retrieves cookies from the browser using webdriver. + + Args: + proxy (str, optional): Proxy configuration. + + Returns: + Dict[str, str]: Retrieved cookies. + """ + with get_browser(proxy=proxy) as driver: wait_for_login(driver) + time.sleep(1) return get_driver_cookies(driver) - finally: - driver.quit() - -def create_completion(prompt: str, cookies: dict = None, proxy: str = None) -> Generator: - loop = get_event_loop() - if not cookies: - cookies = get_cookies(".bing.com") - if "_U" not in cookies: - login_url = os.environ.get("G4F_LOGIN_URL") - if login_url: - yield f"Please login: [Bing]({login_url})\n\n" - cookies = get_cookies_from_browser(proxy) - yield loop.run_until_complete(create_images_markdown(cookies, prompt, proxy)) - -async def create_async(prompt: str, cookies: dict = None, proxy: str = None) -> str: - if not cookies: - cookies = get_cookies(".bing.com") - if "_U" not in cookies: - cookies = get_cookies_from_browser(proxy) - return await create_images_markdown(cookies, prompt, proxy) + +class CreateImagesBing: + """A class for creating images using Bing.""" + + _cookies: Dict[str, str] = {} + + @classmethod + def create_completion(cls, prompt: str, cookies: Dict[str, str] = None, proxy: str = None) -> Generator[str]: + """ + Generator for creating imagecompletion based on a prompt. + + Args: + prompt (str): Prompt to generate images. + cookies (Dict[str, str], optional): Cookies for the session. If None, cookies are retrieved automatically. + proxy (str, optional): Proxy configuration. + + Yields: + Generator[str, None, None]: The final output as markdown formatted string with images. + """ + loop = get_event_loop() + cookies = cookies or cls._cookies or get_cookies(".bing.com") + if "_U" not in cookies: + login_url = os.environ.get("G4F_LOGIN_URL") + if login_url: + yield f"Please login: [Bing]({login_url})\n\n" + cls._cookies = cookies = get_cookies_from_browser(proxy) + yield loop.run_until_complete(create_images_markdown(cookies, prompt, proxy)) + + @classmethod + async def create_async(cls, prompt: str, cookies: Dict[str, str] = None, proxy: str = None) -> str: + """ + Asynchronously creates a markdown formatted string with images based on the prompt. + + Args: + prompt (str): Prompt to generate images. + cookies (Dict[str, str], optional): Cookies for the session. If None, cookies are retrieved automatically. + proxy (str, optional): Proxy configuration. + + Returns: + str: Markdown formatted string with images. + """ + cookies = cookies or cls._cookies or get_cookies(".bing.com") + if "_U" not in cookies: + cls._cookies = cookies = get_cookies_from_browser(proxy) + return await create_images_markdown(cookies, prompt, proxy) def patch_provider(provider: ProviderType) -> CreateImagesProvider: - return CreateImagesProvider(provider, create_completion, create_async)
\ No newline at end of file + """ + Patches a provider to include image creation capabilities. + + Args: + provider (ProviderType): The provider to be patched. + + Returns: + CreateImagesProvider: The patched provider with image creation capabilities. + """ + return CreateImagesProvider(provider, CreateImagesBing.create_completion, CreateImagesBing.create_async)
\ No newline at end of file diff --git a/g4f/Provider/bing/upload_image.py b/g4f/Provider/bing/upload_image.py index 1af902ef..4d70659f 100644 --- a/g4f/Provider/bing/upload_image.py +++ b/g4f/Provider/bing/upload_image.py @@ -1,64 +1,107 @@ -from __future__ import annotations +""" +Module to handle image uploading and processing for Bing AI integrations. +""" +from __future__ import annotations import string import random import json import math -from ...typing import ImageType from aiohttp import ClientSession +from PIL import Image + +from ...typing import ImageType, Tuple from ...image import to_image, process_image, to_base64, ImageResponse -image_config = { +IMAGE_CONFIG = { "maxImagePixels": 360000, "imageCompressionRate": 0.7, - "enableFaceBlurDebug": 0, + "enableFaceBlurDebug": False, } async def upload_image( - session: ClientSession, - image: ImageType, - tone: str, + session: ClientSession, + image_data: ImageType, + tone: str, proxy: str = None ) -> ImageResponse: - image = to_image(image) - width, height = image.size - max_image_pixels = image_config['maxImagePixels'] - if max_image_pixels / (width * height) < 1: - new_width = int(width * math.sqrt(max_image_pixels / (width * height))) - new_height = int(height * math.sqrt(max_image_pixels / (width * height))) - else: - new_width = width - new_height = height - new_img = process_image(image, new_width, new_height) - new_img_binary_data = to_base64(new_img, image_config['imageCompressionRate']) - data, boundary = build_image_upload_api_payload(new_img_binary_data, tone) - headers = session.headers.copy() - headers["content-type"] = f'multipart/form-data; boundary={boundary}' - headers["referer"] = 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx' - headers["origin"] = 'https://www.bing.com' + """ + Uploads an image to Bing's AI service and returns the image response. + + Args: + session (ClientSession): The active session. + image_data (bytes): The image data to be uploaded. + tone (str): The tone of the conversation. + proxy (str, optional): Proxy if any. Defaults to None. + + Raises: + RuntimeError: If the image upload fails. + + Returns: + ImageResponse: The response from the image upload. + """ + image = to_image(image_data) + new_width, new_height = calculate_new_dimensions(image) + processed_img = process_image(image, new_width, new_height) + img_binary_data = to_base64(processed_img, IMAGE_CONFIG['imageCompressionRate']) + + data, boundary = build_image_upload_payload(img_binary_data, tone) + headers = prepare_headers(session, boundary) + async with session.post("https://www.bing.com/images/kblob", data=data, headers=headers, proxy=proxy) as response: if response.status != 200: raise RuntimeError("Failed to upload image.") - image_info = await response.json() - if not image_info.get('blobId'): - raise RuntimeError("Failed to parse image info.") - result = {'bcid': image_info.get('blobId', "")} - result['blurredBcid'] = image_info.get('processedBlobId', "") - if result['blurredBcid'] != "": - result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['blurredBcid'] - elif result['bcid'] != "": - result["imageUrl"] = "https://www.bing.com/images/blob?bcid=" + result['bcid'] - result['originalImageUrl'] = ( - "https://www.bing.com/images/blob?bcid=" - + result['blurredBcid'] - if image_config["enableFaceBlurDebug"] - else "https://www.bing.com/images/blob?bcid=" - + result['bcid'] - ) - return ImageResponse(result["imageUrl"], "", result) - -def build_image_upload_api_payload(image_bin: str, tone: str): - payload = { + return parse_image_response(await response.json()) + +def calculate_new_dimensions(image: Image.Image) -> Tuple[int, int]: + """ + Calculates the new dimensions for the image based on the maximum allowed pixels. + + Args: + image (Image): The PIL Image object. + + Returns: + Tuple[int, int]: The new width and height for the image. + """ + width, height = image.size + max_image_pixels = IMAGE_CONFIG['maxImagePixels'] + if max_image_pixels / (width * height) < 1: + scale_factor = math.sqrt(max_image_pixels / (width * height)) + return int(width * scale_factor), int(height * scale_factor) + return width, height + +def build_image_upload_payload(image_bin: str, tone: str) -> Tuple[str, str]: + """ + Builds the payload for image uploading. + + Args: + image_bin (str): Base64 encoded image binary data. + tone (str): The tone of the conversation. + + Returns: + Tuple[str, str]: The data and boundary for the payload. + """ + boundary = "----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16)) + data = f"--{boundary}\r\n" \ + f"Content-Disposition: form-data; name=\"knowledgeRequest\"\r\n\r\n" \ + f"{json.dumps(build_knowledge_request(tone), ensure_ascii=False)}\r\n" \ + f"--{boundary}\r\n" \ + f"Content-Disposition: form-data; name=\"imageBase64\"\r\n\r\n" \ + f"{image_bin}\r\n" \ + f"--{boundary}--\r\n" + return data, boundary + +def build_knowledge_request(tone: str) -> dict: + """ + Builds the knowledge request payload. + + Args: + tone (str): The tone of the conversation. + + Returns: + dict: The knowledge request payload. + """ + return { 'invokedSkills': ["ImageById"], 'subscriptionId': "Bing.Chat.Multimodal", 'invokedSkillsRequestData': { @@ -69,21 +112,46 @@ def build_image_upload_api_payload(image_bin: str, tone: str): 'convotone': tone } } - knowledge_request = { - 'imageInfo': {}, - 'knowledgeRequest': payload - } - boundary="----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16)) - data = ( - f'--{boundary}' - + '\r\nContent-Disposition: form-data; name="knowledgeRequest"\r\n\r\n' - + json.dumps(knowledge_request, ensure_ascii=False) - + "\r\n--" - + boundary - + '\r\nContent-Disposition: form-data; name="imageBase64"\r\n\r\n' - + image_bin - + "\r\n--" - + boundary - + "--\r\n" + +def prepare_headers(session: ClientSession, boundary: str) -> dict: + """ + Prepares the headers for the image upload request. + + Args: + session (ClientSession): The active session. + boundary (str): The boundary string for the multipart/form-data. + + Returns: + dict: The headers for the request. + """ + headers = session.headers.copy() + headers["Content-Type"] = f'multipart/form-data; boundary={boundary}' + headers["Referer"] = 'https://www.bing.com/search?q=Bing+AI&showconv=1&FORM=hpcodx' + headers["Origin"] = 'https://www.bing.com' + return headers + +def parse_image_response(response: dict) -> ImageResponse: + """ + Parses the response from the image upload. + + Args: + response (dict): The response dictionary. + + Raises: + RuntimeError: If parsing the image info fails. + + Returns: + ImageResponse: The parsed image response. + """ + if not response.get('blobId'): + raise RuntimeError("Failed to parse image info.") + + result = {'bcid': response.get('blobId', ""), 'blurredBcid': response.get('processedBlobId', "")} + result["imageUrl"] = f"https://www.bing.com/images/blob?bcid={result['blurredBcid'] or result['bcid']}" + + result['originalImageUrl'] = ( + f"https://www.bing.com/images/blob?bcid={result['blurredBcid']}" + if IMAGE_CONFIG["enableFaceBlurDebug"] else + f"https://www.bing.com/images/blob?bcid={result['bcid']}" ) - return data, boundary
\ No newline at end of file + return ImageResponse(result["imageUrl"], "", result)
\ No newline at end of file diff --git a/g4f/Provider/helper.py b/g4f/Provider/helper.py index 81f417dd..fce1ee6f 100644 --- a/g4f/Provider/helper.py +++ b/g4f/Provider/helper.py @@ -1,36 +1,31 @@ from __future__ import annotations import asyncio -import webbrowser +import os import random -import string import secrets -import os -from os import path +import string from asyncio import AbstractEventLoop, BaseEventLoop from platformdirs import user_config_dir from browser_cookie3 import ( - chrome, - chromium, - opera, - opera_gx, - brave, - edge, - vivaldi, - firefox, - _LinuxPasswordManager + chrome, chromium, opera, opera_gx, + brave, edge, vivaldi, firefox, + _LinuxPasswordManager, BrowserCookieError ) - from ..typing import Dict, Messages from .. import debug -# Local Cookie Storage +# Global variable to store cookies _cookies: Dict[str, Dict[str, str]] = {} -# If loop closed or not set, create new event loop. -# If event loop is already running, handle nested event loops. -# If "nest_asyncio" is installed, patch the event loop. def get_event_loop() -> AbstractEventLoop: + """ + Get the current asyncio event loop. If the loop is closed or not set, create a new event loop. + If a loop is running, handle nested event loops. Patch the loop if 'nest_asyncio' is installed. + + Returns: + AbstractEventLoop: The current or new event loop. + """ try: loop = asyncio.get_event_loop() if isinstance(loop, BaseEventLoop): @@ -39,61 +34,50 @@ def get_event_loop() -> AbstractEventLoop: loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) try: - # Is running event loop asyncio.get_running_loop() if not hasattr(loop.__class__, "_nest_patched"): import nest_asyncio nest_asyncio.apply(loop) except RuntimeError: - # No running event loop pass except ImportError: raise RuntimeError( - 'Use "create_async" instead of "create" function in a running event loop. Or install the "nest_asyncio" package.' + 'Use "create_async" instead of "create" function in a running event loop. Or install "nest_asyncio" package.' ) return loop -def init_cookies(): - urls = [ - 'https://chat-gpt.org', - 'https://www.aitianhu.com', - 'https://chatgptfree.ai', - 'https://gptchatly.com', - 'https://bard.google.com', - 'https://huggingface.co/chat', - 'https://open-assistant.io/chat' - ] - - browsers = ['google-chrome', 'chrome', 'firefox', 'safari'] - - def open_urls_in_browser(browser): - b = webbrowser.get(browser) - for url in urls: - b.open(url, new=0, autoraise=True) - - for browser in browsers: - try: - open_urls_in_browser(browser) - break - except webbrowser.Error: - continue - -# Check for broken dbus address in docker image if os.environ.get('DBUS_SESSION_BUS_ADDRESS') == "/dev/null": _LinuxPasswordManager.get_password = lambda a, b: b"secret" - -# Load cookies for a domain from all supported browsers. -# Cache the results in the "_cookies" variable. -def get_cookies(domain_name=''): + +def get_cookies(domain_name: str = '') -> Dict[str, str]: + """ + Load cookies for a given domain from all supported browsers and cache the results. + + Args: + domain_name (str): The domain for which to load cookies. + + Returns: + Dict[str, str]: A dictionary of cookie names and values. + """ if domain_name in _cookies: return _cookies[domain_name] - def g4f(domain_name): - user_data_dir = user_config_dir("g4f") - cookie_file = path.join(user_data_dir, "Default", "Cookies") - return [] if not path.exists(cookie_file) else chrome(cookie_file, domain_name) + + cookies = _load_cookies_from_browsers(domain_name) + _cookies[domain_name] = cookies + return cookies + +def _load_cookies_from_browsers(domain_name: str) -> Dict[str, str]: + """ + Helper function to load cookies from various browsers. + + Args: + domain_name (str): The domain for which to load cookies. + Returns: + Dict[str, str]: A dictionary of cookie names and values. + """ cookies = {} - for cookie_fn in [g4f, chrome, chromium, opera, opera_gx, brave, edge, vivaldi, firefox]: + for cookie_fn in [_g4f, chrome, chromium, opera, opera_gx, brave, edge, vivaldi, firefox]: try: cookie_jar = cookie_fn(domain_name=domain_name) if len(cookie_jar) and debug.logging: @@ -101,13 +85,38 @@ def get_cookies(domain_name=''): for cookie in cookie_jar: if cookie.name not in cookies: cookies[cookie.name] = cookie.value - except: + except BrowserCookieError: pass - _cookies[domain_name] = cookies - return _cookies[domain_name] + except Exception as e: + if debug.logging: + print(f"Error reading cookies from {cookie_fn.__name__} for {domain_name}: {e}") + return cookies + +def _g4f(domain_name: str) -> list: + """ + Load cookies from the 'g4f' browser (if exists). + + Args: + domain_name (str): The domain for which to load cookies. + Returns: + list: List of cookies. + """ + user_data_dir = user_config_dir("g4f") + cookie_file = os.path.join(user_data_dir, "Default", "Cookies") + return [] if not os.path.exists(cookie_file) else chrome(cookie_file, domain_name) def format_prompt(messages: Messages, add_special_tokens=False) -> str: + """ + Format a series of messages into a single string, optionally adding special tokens. + + Args: + messages (Messages): A list of message dictionaries, each containing 'role' and 'content'. + add_special_tokens (bool): Whether to add special formatting tokens. + + Returns: + str: A formatted string containing all messages. + """ if not add_special_tokens and len(messages) <= 1: return messages[0]["content"] formatted = "\n".join([ @@ -116,12 +125,26 @@ def format_prompt(messages: Messages, add_special_tokens=False) -> str: ]) return f"{formatted}\nAssistant:" - def get_random_string(length: int = 10) -> str: + """ + Generate a random string of specified length, containing lowercase letters and digits. + + Args: + length (int, optional): Length of the random string to generate. Defaults to 10. + + Returns: + str: A random string of the specified length. + """ return ''.join( random.choice(string.ascii_lowercase + string.digits) for _ in range(length) ) def get_random_hex() -> str: + """ + Generate a random hexadecimal string of a fixed length. + + Returns: + str: A random hexadecimal string of 32 characters (16 bytes). + """ return secrets.token_hex(16).zfill(32)
\ No newline at end of file diff --git a/g4f/Provider/needs_auth/OpenaiChat.py b/g4f/Provider/needs_auth/OpenaiChat.py index a790f0de..7d352a46 100644 --- a/g4f/Provider/needs_auth/OpenaiChat.py +++ b/g4f/Provider/needs_auth/OpenaiChat.py @@ -1,6 +1,9 @@ from __future__ import annotations +import asyncio +import uuid +import json +import os -import uuid, json, asyncio, os from py_arkose_generator.arkose import get_values_for_request from async_property import async_cached_property from selenium.webdriver.common.by import By @@ -14,7 +17,8 @@ from ...typing import AsyncResult, Messages from ...requests import StreamSession from ...image import to_image, to_bytes, ImageType, ImageResponse -models = { +# Aliases for model names +MODELS = { "gpt-3.5": "text-davinci-002-render-sha", "gpt-3.5-turbo": "text-davinci-002-render-sha", "gpt-4": "gpt-4", @@ -22,13 +26,15 @@ models = { } class OpenaiChat(AsyncGeneratorProvider): - url = "https://chat.openai.com" - working = True - needs_auth = True + """A class for creating and managing conversations with OpenAI chat service""" + + url = "https://chat.openai.com" + working = True + needs_auth = True supports_gpt_35_turbo = True - supports_gpt_4 = True - _cookies: dict = {} - _default_model: str = None + supports_gpt_4 = True + _cookies: dict = {} + _default_model: str = None @classmethod async def create( @@ -43,6 +49,23 @@ class OpenaiChat(AsyncGeneratorProvider): image: ImageType = None, **kwargs ) -> Response: + """Create a new conversation or continue an existing one + + Args: + prompt: The user input to start or continue the conversation + model: The name of the model to use for generating responses + messages: The list of previous messages in the conversation + history_disabled: A flag indicating if the history and training should be disabled + action: The type of action to perform, either "next", "continue", or "variant" + conversation_id: The ID of the existing conversation, if any + parent_id: The ID of the parent message, if any + image: The image to include in the user input, if any + **kwargs: Additional keyword arguments to pass to the generator + + Returns: + A Response object that contains the generator, action, messages, and options + """ + # Add the user input to the messages list if prompt: messages.append({ "role": "user", @@ -67,20 +90,33 @@ class OpenaiChat(AsyncGeneratorProvider): ) @classmethod - async def upload_image( + async def _upload_image( cls, session: StreamSession, headers: dict, image: ImageType ) -> ImageResponse: + """Upload an image to the service and get the download URL + + Args: + session: The StreamSession object to use for requests + headers: The headers to include in the requests + image: The image to upload, either a PIL Image object or a bytes object + + Returns: + An ImageResponse object that contains the download URL, file name, and other data + """ + # Convert the image to a PIL Image object and get the extension image = to_image(image) extension = image.format.lower() + # Convert the image to a bytes object and get the size data_bytes = to_bytes(image) data = { "file_name": f"{image.width}x{image.height}.{extension}", "file_size": len(data_bytes), "use_case": "multimodal" } + # Post the image data to the service and get the image data async with session.post(f"{cls.url}/backend-api/files", json=data, headers=headers) as response: response.raise_for_status() image_data = { @@ -91,6 +127,7 @@ class OpenaiChat(AsyncGeneratorProvider): "height": image.height, "width": image.width } + # Put the image bytes to the upload URL and check the status async with session.put( image_data["upload_url"], data=data_bytes, @@ -100,6 +137,7 @@ class OpenaiChat(AsyncGeneratorProvider): } ) as response: response.raise_for_status() + # Post the file ID to the service and get the download URL async with session.post( f"{cls.url}/backend-api/files/{image_data['file_id']}/uploaded", json={}, @@ -110,24 +148,45 @@ class OpenaiChat(AsyncGeneratorProvider): return ImageResponse(download_url, image_data["file_name"], image_data) @classmethod - async def get_default_model(cls, session: StreamSession, headers: dict): + async def _get_default_model(cls, session: StreamSession, headers: dict): + """Get the default model name from the service + + Args: + session: The StreamSession object to use for requests + headers: The headers to include in the requests + + Returns: + The default model name as a string + """ + # Check the cache for the default model if cls._default_model: - model = cls._default_model - else: - async with session.get(f"{cls.url}/backend-api/models", headers=headers) as response: - data = await response.json() - if "categories" in data: - model = data["categories"][-1]["default_model"] - else: - RuntimeError(f"Response: {data}") - cls._default_model = model - return model + return cls._default_model + # Get the models data from the service + async with session.get(f"{cls.url}/backend-api/models", headers=headers) as response: + data = await response.json() + if "categories" in data: + cls._default_model = data["categories"][-1]["default_model"] + else: + raise RuntimeError(f"Response: {data}") + return cls._default_model @classmethod - def create_messages(cls, prompt: str, image_response: ImageResponse = None): + def _create_messages(cls, prompt: str, image_response: ImageResponse = None): + """Create a list of messages for the user input + + Args: + prompt: The user input as a string + image_response: The image response object, if any + + Returns: + A list of messages with the user input and the image, if any + """ + # Check if there is an image response if not image_response: + # Create a content object with the text type and the prompt content = {"content_type": "text", "parts": [prompt]} else: + # Create a content object with the multimodal text type and the image and the prompt content = { "content_type": "multimodal_text", "parts": [{ @@ -137,12 +196,15 @@ class OpenaiChat(AsyncGeneratorProvider): "width": image_response.get("width"), }, prompt] } + # Create a message object with the user role and the content messages = [{ "id": str(uuid.uuid4()), "author": {"role": "user"}, "content": content, }] + # Check if there is an image response if image_response: + # Add the metadata object with the attachments messages[0]["metadata"] = { "attachments": [{ "height": image_response.get("height"), @@ -156,19 +218,38 @@ class OpenaiChat(AsyncGeneratorProvider): return messages @classmethod - async def get_image_response(cls, session: StreamSession, headers: dict, line: dict): - if "parts" in line["message"]["content"]: - part = line["message"]["content"]["parts"][0] - if "asset_pointer" in part and part["metadata"]: - file_id = part["asset_pointer"].split("file-service://", 1)[1] - prompt = part["metadata"]["dalle"]["prompt"] - async with session.get( - f"{cls.url}/backend-api/files/{file_id}/download", - headers=headers - ) as response: - response.raise_for_status() - download_url = (await response.json())["download_url"] - return ImageResponse(download_url, prompt) + async def _get_generated_image(cls, session: StreamSession, headers: dict, line: dict) -> ImageResponse: + """ + Retrieves the image response based on the message content. + + :param session: The StreamSession object. + :param headers: HTTP headers for the request. + :param line: The line of response containing image information. + :return: An ImageResponse object with the image details. + """ + if "parts" not in line["message"]["content"]: + return + first_part = line["message"]["content"]["parts"][0] + if "asset_pointer" not in first_part or "metadata" not in first_part: + return + file_id = first_part["asset_pointer"].split("file-service://", 1)[1] + prompt = first_part["metadata"]["dalle"]["prompt"] + try: + async with session.get(f"{cls.url}/backend-api/files/{file_id}/download", headers=headers) as response: + response.raise_for_status() + download_url = (await response.json())["download_url"] + return ImageResponse(download_url, prompt) + except Exception as e: + raise RuntimeError(f"Error in downloading image: {e}") + + @classmethod + async def _delete_conversation(cls, session: StreamSession, headers: dict, conversation_id: str): + async with session.patch( + f"{cls.url}/backend-api/conversation/{conversation_id}", + json={"is_visible": False}, + headers=headers + ) as response: + response.raise_for_status() @classmethod async def create_async_generator( @@ -188,26 +269,47 @@ class OpenaiChat(AsyncGeneratorProvider): response_fields: bool = False, **kwargs ) -> AsyncResult: - if model in models: - model = models[model] + """ + Create an asynchronous generator for the conversation. + + Args: + model (str): The model name. + messages (Messages): The list of previous messages. + proxy (str): Proxy to use for requests. + timeout (int): Timeout for requests. + access_token (str): Access token for authentication. + cookies (dict): Cookies to use for authentication. + auto_continue (bool): Flag to automatically continue the conversation. + history_disabled (bool): Flag to disable history and training. + action (str): Type of action ('next', 'continue', 'variant'). + conversation_id (str): ID of the conversation. + parent_id (str): ID of the parent message. + image (ImageType): Image to include in the conversation. + response_fields (bool): Flag to include response fields in the output. + **kwargs: Additional keyword arguments. + + Yields: + AsyncResult: Asynchronous results from the generator. + + Raises: + RuntimeError: If an error occurs during processing. + """ + model = MODELS.get(model, model) if not parent_id: parent_id = str(uuid.uuid4()) if not cookies: - cookies = cls._cookies - if not access_token: - if not cookies: - cls._cookies = cookies = get_cookies("chat.openai.com") - if "access_token" in cookies: - access_token = cookies["access_token"] + cookies = cls._cookies or get_cookies("chat.openai.com") + if not access_token and "access_token" in cookies: + access_token = cookies["access_token"] if not access_token: login_url = os.environ.get("G4F_LOGIN_URL") if login_url: yield f"Please login: [ChatGPT]({login_url})\n\n" - access_token, cookies = cls.browse_access_token(proxy) + access_token, cookies = cls._browse_access_token(proxy) cls._cookies = cookies - headers = { - "Authorization": f"Bearer {access_token}", - } + + headers = {"Authorization": f"Bearer {access_token}"} + async with StreamSession( proxies={"https": proxy}, impersonate="chrome110", @@ -215,11 +317,11 @@ class OpenaiChat(AsyncGeneratorProvider): cookies=dict([(name, value) for name, value in cookies.items() if name == "_puid"]) ) as session: if not model: - model = await cls.get_default_model(session, headers) + model = await cls._get_default_model(session, headers) try: image_response = None if image: - image_response = await cls.upload_image(session, headers, image) + image_response = await cls._upload_image(session, headers, image) yield image_response except Exception as e: yield e @@ -227,7 +329,7 @@ class OpenaiChat(AsyncGeneratorProvider): while not end_turn.is_end: data = { "action": action, - "arkose_token": await cls.get_arkose_token(session), + "arkose_token": await cls._get_arkose_token(session), "conversation_id": conversation_id, "parent_message_id": parent_id, "model": model, @@ -235,7 +337,7 @@ class OpenaiChat(AsyncGeneratorProvider): } if action != "continue": prompt = format_prompt(messages) if not conversation_id else messages[-1]["content"] - data["messages"] = cls.create_messages(prompt, image_response) + data["messages"] = cls._create_messages(prompt, image_response) async with session.post( f"{cls.url}/backend-api/conversation", json=data, @@ -261,62 +363,80 @@ class OpenaiChat(AsyncGeneratorProvider): if "message_type" not in line["message"]["metadata"]: continue try: - image_response = await cls.get_image_response(session, headers, line) + image_response = await cls._get_generated_image(session, headers, line) if image_response: yield image_response except Exception as e: yield e if line["message"]["author"]["role"] != "assistant": continue - if line["message"]["metadata"]["message_type"] in ("next", "continue", "variant"): - conversation_id = line["conversation_id"] - parent_id = line["message"]["id"] - if response_fields: - response_fields = False - yield ResponseFields(conversation_id, parent_id, end_turn) - if "parts" in line["message"]["content"]: - new_message = line["message"]["content"]["parts"][0] - if len(new_message) > last_message: - yield new_message[last_message:] - last_message = len(new_message) + if line["message"]["content"]["content_type"] != "text": + continue + if line["message"]["metadata"]["message_type"] not in ("next", "continue", "variant"): + continue + conversation_id = line["conversation_id"] + parent_id = line["message"]["id"] + if response_fields: + response_fields = False + yield ResponseFields(conversation_id, parent_id, end_turn) + if "parts" in line["message"]["content"]: + new_message = line["message"]["content"]["parts"][0] + if len(new_message) > last_message: + yield new_message[last_message:] + last_message = len(new_message) if "finish_details" in line["message"]["metadata"]: if line["message"]["metadata"]["finish_details"]["type"] == "stop": end_turn.end() - break except Exception as e: - yield e + raise e if not auto_continue: break action = "continue" await asyncio.sleep(5) - if history_disabled: - async with session.patch( - f"{cls.url}/backend-api/conversation/{conversation_id}", - json={"is_visible": False}, - headers=headers - ) as response: - response.raise_for_status() + if history_disabled and auto_continue: + await cls._delete_conversation(session, headers, conversation_id) @classmethod - def browse_access_token(cls, proxy: str = None) -> tuple[str, dict]: + def _browse_access_token(cls, proxy: str = None) -> tuple[str, dict]: + """ + Browse to obtain an access token. + + Args: + proxy (str): Proxy to use for browsing. + + Returns: + tuple[str, dict]: A tuple containing the access token and cookies. + """ driver = get_browser(proxy=proxy) try: driver.get(f"{cls.url}/") - WebDriverWait(driver, 1200).until( - EC.presence_of_element_located((By.ID, "prompt-textarea")) + WebDriverWait(driver, 1200).until(EC.presence_of_element_located((By.ID, "prompt-textarea"))) + access_token = driver.execute_script( + "let session = await fetch('/api/auth/session');" + "let data = await session.json();" + "let accessToken = data['accessToken'];" + "let expires = new Date(); expires.setTime(expires.getTime() + 60 * 60 * 24 * 7);" + "document.cookie = 'access_token=' + accessToken + ';expires=' + expires.toUTCString() + ';path=/';" + "return accessToken;" ) - javascript = """ -access_token = (await (await fetch('/api/auth/session')).json())['accessToken']; -expires = new Date(); expires.setTime(expires.getTime() + 60 * 60 * 24 * 7); // One week -document.cookie = 'access_token=' + access_token + ';expires=' + expires.toUTCString() + ';path=/'; -return access_token; -""" - return driver.execute_script(javascript), get_driver_cookies(driver) + return access_token, get_driver_cookies(driver) finally: driver.quit() - @classmethod - async def get_arkose_token(cls, session: StreamSession) -> str: + @classmethod + async def _get_arkose_token(cls, session: StreamSession) -> str: + """ + Obtain an Arkose token for the session. + + Args: + session (StreamSession): The session object. + + Returns: + str: The Arkose token. + + Raises: + RuntimeError: If unable to retrieve the token. + """ config = { "pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC", "surl": "https://tcr9i.chat.openai.com", @@ -332,26 +452,30 @@ return access_token; if "token" in decoded_json: return decoded_json["token"] raise RuntimeError(f"Response: {decoded_json}") - -class EndTurn(): + +class EndTurn: + """ + Class to represent the end of a conversation turn. + """ def __init__(self): self.is_end = False def end(self): self.is_end = True -class ResponseFields(): - def __init__( - self, - conversation_id: str, - message_id: str, - end_turn: EndTurn - ): +class ResponseFields: + """ + Class to encapsulate response fields. + """ + def __init__(self, conversation_id: str, message_id: str, end_turn: EndTurn): self.conversation_id = conversation_id self.message_id = message_id self._end_turn = end_turn class Response(): + """ + Class to encapsulate a response from the chat service. + """ def __init__( self, generator: AsyncResult, @@ -360,13 +484,13 @@ class Response(): options: dict ): self._generator = generator - self.action: str = action - self.is_end: bool = False + self.action = action + self.is_end = False self._message = None self._messages = messages self._options = options self._fields = None - + async def generator(self): if self._generator: self._generator = None @@ -384,19 +508,16 @@ class Response(): def __aiter__(self): return self.generator() - + @async_cached_property async def message(self) -> str: - [_ async for _ in self.generator()] + await self.generator() return self._message - + async def get_fields(self): - [_ async for _ in self.generator()] - return { - "conversation_id": self._fields.conversation_id, - "parent_id": self._fields.message_id, - } - + await self.generator() + return {"conversation_id": self._fields.conversation_id, "parent_id": self._fields.message_id} + async def next(self, prompt: str, **kwargs) -> Response: return await OpenaiChat.create( **self._options, @@ -406,7 +527,7 @@ class Response(): **await self.get_fields(), **kwargs ) - + async def do_continue(self, **kwargs) -> Response: fields = await self.get_fields() if self.is_end: @@ -418,7 +539,7 @@ class Response(): **fields, **kwargs ) - + async def variant(self, **kwargs) -> Response: if self.action != "next": raise RuntimeError("Can't create variant from continue or variant request.") @@ -429,11 +550,9 @@ class Response(): **await self.get_fields(), **kwargs ) - + @async_cached_property async def messages(self): messages = self._messages - messages.append({ - "role": "assistant", "content": await self.message - }) + messages.append({"role": "assistant", "content": await self.message}) return messages
\ No newline at end of file diff --git a/g4f/Provider/retry_provider.py b/g4f/Provider/retry_provider.py index 4d3e77ac..9cc026fc 100644 --- a/g4f/Provider/retry_provider.py +++ b/g4f/Provider/retry_provider.py @@ -7,8 +7,17 @@ from ..base_provider import BaseRetryProvider from .. import debug from ..errors import RetryProviderError, RetryNoProviderError - class RetryProvider(BaseRetryProvider): + """ + A provider class to handle retries for creating completions with different providers. + + Attributes: + providers (list): A list of provider instances. + shuffle (bool): A flag indicating whether to shuffle providers before use. + exceptions (dict): A dictionary to store exceptions encountered during retries. + last_provider (BaseProvider): The last provider that was used. + """ + def create_completion( self, model: str, @@ -16,10 +25,21 @@ class RetryProvider(BaseRetryProvider): stream: bool = False, **kwargs ) -> CreateResult: - if stream: - providers = [provider for provider in self.providers if provider.supports_stream] - else: - providers = self.providers + """ + Create a completion using available providers, with an option to stream the response. + + Args: + model (str): The model to be used for completion. + messages (Messages): The messages to be used for generating completion. + stream (bool, optional): Flag to indicate if the response should be streamed. Defaults to False. + + Yields: + CreateResult: Tokens or results from the completion. + + Raises: + Exception: Any exception encountered during the completion process. + """ + providers = [p for p in self.providers if stream and p.supports_stream] if stream else self.providers if self.shuffle: random.shuffle(providers) @@ -50,10 +70,23 @@ class RetryProvider(BaseRetryProvider): messages: Messages, **kwargs ) -> str: + """ + Asynchronously create a completion using available providers. + + Args: + model (str): The model to be used for completion. + messages (Messages): The messages to be used for generating completion. + + Returns: + str: The result of the asynchronous completion. + + Raises: + Exception: Any exception encountered during the asynchronous completion process. + """ providers = self.providers if self.shuffle: random.shuffle(providers) - + self.exceptions = {} for provider in providers: self.last_provider = provider @@ -66,13 +99,20 @@ class RetryProvider(BaseRetryProvider): self.exceptions[provider.__name__] = e if debug.logging: print(f"{provider.__name__}: {e.__class__.__name__}: {e}") - + self.raise_exceptions() - + def raise_exceptions(self) -> None: + """ + Raise a combined exception if any occurred during retries. + + Raises: + RetryProviderError: If any provider encountered an exception. + RetryNoProviderError: If no provider is found. + """ if self.exceptions: raise RetryProviderError("RetryProvider failed:\n" + "\n".join([ f"{p}: {exception.__class__.__name__}: {exception}" for p, exception in self.exceptions.items() ])) - + raise RetryNoProviderError("No provider found")
\ No newline at end of file |