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 .helper import get_cookies, format_prompt
from ..typing import CreateResult, AsyncResult, Messages, Union
from ..base_provider 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__()
while True:
try:
yield loop.run_until_complete(gen.__anext__())
except StopAsyncIteration:
break
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
