from __future__ import annotations import sys import asyncio from asyncio import AbstractEventLoop from concurrent.futures import ThreadPoolExecutor from abc import abstractmethod from inspect import signature, Parameter from ..typing import CreateResult, AsyncResult, Messages, Union from .types import BaseProvider from ..errors import NestAsyncioError, ModelNotSupportedError from .. import debug if sys.version_info < (3, 10): NoneType = type(None) else: from types import NoneType # 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): asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) def get_running_loop() -> Union[AbstractEventLoop, None]: try: loop = asyncio.get_running_loop() if not hasattr(loop.__class__, "_nest_patched"): raise NestAsyncioError( 'Use "create_async" instead of "create" function in a running event loop. Or use "nest_asyncio" package.' ) return loop except RuntimeError: pass class AbstractProvider(BaseProvider): """ Abstract class for providing asynchronous functionality to derived classes. """ @classmethod async def create_async( cls, model: str, messages: Messages, *, loop: AbstractEventLoop = None, executor: ThreadPoolExecutor = None, **kwargs ) -> str: """ Asynchronously creates a result based on the given model and messages. Args: cls (type): The class on which this method is called. model (str): The model to use for creation. messages (Messages): The messages to process. loop (AbstractEventLoop, optional): The event loop to use. Defaults to None. executor (ThreadPoolExecutor, optional): The executor for running async tasks. Defaults to None. **kwargs: Additional keyword arguments. Returns: str: The created result as a string. """ loop = loop or asyncio.get_running_loop() def create_func() -> str: return "".join(cls.create_completion(model, messages, False, **kwargs)) return await asyncio.wait_for( loop.run_in_executor(executor, create_func), timeout=kwargs.get("timeout") ) @classmethod @property def params(cls) -> str: """ Returns the parameters supported by the provider. Args: cls (type): The class on which this property is called. Returns: str: A string listing the supported parameters. """ 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: return annotation.__name__ if hasattr(annotation, "__name__") else str(annotation) args = "" for name, param in sig.parameters.items(): if name in ("self", "kwargs") or (name == "stream" and not cls.supports_stream): continue 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, model: str, messages: Messages, stream: bool = False, **kwargs ) -> CreateResult: """ Creates a completion result synchronously. Args: cls (type): The class on which this method is called. model (str): The model to use for creation. messages (Messages): The messages to process. stream (bool): Indicates whether to stream the results. Defaults to False. loop (AbstractEventLoop, optional): The event loop to use. Defaults to None. **kwargs: Additional keyword arguments. Returns: CreateResult: The result of the completion creation. """ get_running_loop() yield asyncio.run(cls.create_async(model, messages, **kwargs)) @staticmethod @abstractmethod async def create_async( model: str, messages: Messages, **kwargs ) -> str: """ Abstract method for creating asynchronous results. Args: model (str): The model to use for creation. messages (Messages): The messages to process. **kwargs: Additional keyword arguments. Raises: NotImplementedError: If this method is not overridden in derived classes. Returns: str: The created result as a string. """ raise NotImplementedError() class AsyncGeneratorProvider(AsyncProvider): """ Provides asynchronous generator functionality for streaming results. """ supports_stream = True @classmethod def create_completion( cls, model: str, messages: Messages, stream: bool = True, **kwargs ) -> CreateResult: """ Creates a streaming completion result synchronously. Args: cls (type): The class on which this method is called. model (str): The model to use for creation. messages (Messages): The messages to process. stream (bool): Indicates whether to stream the results. Defaults to True. loop (AbstractEventLoop, optional): The event loop to use. Defaults to None. **kwargs: Additional keyword arguments. Returns: CreateResult: The result of the streaming completion creation. """ loop = get_running_loop() new_loop = False if not loop: loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) new_loop = True generator = cls.create_async_generator(model, messages, stream=stream, **kwargs) gen = generator.__aiter__() # Fix for RuntimeError: async generator ignored GeneratorExit async def await_callback(callback): return await callback() try: while True: yield loop.run_until_complete(await_callback(gen.__anext__)) except StopAsyncIteration: ... # Fix for: ResourceWarning: unclosed event loop finally: if new_loop: loop.close() asyncio.set_event_loop(None) @classmethod async def create_async( cls, model: str, messages: Messages, **kwargs ) -> str: """ Asynchronously creates a result from a generator. Args: cls (type): The class on which this method is called. model (str): The model to use for creation. messages (Messages): The messages to process. **kwargs: Additional keyword arguments. Returns: str: The created result as a string. """ return "".join([ chunk async for chunk in cls.create_async_generator(model, messages, stream=False, **kwargs) if not isinstance(chunk, Exception) ]) @staticmethod @abstractmethod async def create_async_generator( model: str, messages: Messages, stream: bool = True, **kwargs ) -> AsyncResult: """ Abstract method for creating an asynchronous generator. Args: model (str): The model to use for creation. messages (Messages): The messages to process. stream (bool): Indicates whether to stream the results. Defaults to True. **kwargs: Additional keyword arguments. Raises: NotImplementedError: If this method is not overridden in derived classes. Returns: AsyncResult: An asynchronous generator yielding results. """ raise NotImplementedError() class ProviderModelMixin: default_model: str models: list[str] = [] model_aliases: dict[str, str] = {} @classmethod def get_models(cls) -> list[str]: return cls.models @classmethod def get_model(cls, model: str) -> str: if not model: model = cls.default_model elif model in cls.model_aliases: model = cls.model_aliases[model] elif model not in cls.get_models(): raise ModelNotSupportedError(f"Model is not supported: {model} in: {cls.__name__}") debug.last_model = model return model