gpt4free

from __future__ import annotations

import asyncio
import random
from asyncio import AbstractEventLoop
from concurrent.futures import ThreadPoolExecutor
from abc import abstractmethod
import json
from inspect import signature, Parameter
from typing import Optional, _GenericAlias
from pathlib import Path
from aiohttp import ClientSession
try:
    from types import NoneType
except ImportError:
    NoneType = type(None)

from ..typing import CreateResult, AsyncResult, Messages
from .types import BaseProvider
from .asyncio import get_running_loop, to_sync_generator, to_async_iterator
from .response import BaseConversation, AuthResult
from .helper import concat_chunks
from ..cookies import get_cookies_dir
from ..requests import raise_for_status
from ..errors import ModelNotFoundError, ResponseError, MissingAuthError, NoValidHarFileError, PaymentRequiredError, CloudflareError
from ..tools.auth import AuthManager
from .. import debug

SAFE_PARAMETERS = [
    "model", "messages", "stream", "timeout",
    "media", "response_format",
    "prompt", "negative_prompt", "tools", "conversation",
    "history_disabled",
    "temperature",  "top_k", "top_p",
    "frequency_penalty", "presence_penalty",
    "max_tokens", "stop",
    "api_key", "seed", "width", "height",
    "max_retries", "web_search", "cache",
    "guidance_scale", "num_inference_steps", "randomize_seed",
    "safe", "enhance", "private",
    "aspect_ratio", "n", "transparent",
    "reasoning_effort"
]

BASIC_PARAMETERS = {
    "provider": None,
    "model": "",
    "messages": [],
    "stream": False,
    "timeout": 0,
    "response_format": None,
    "max_tokens": 4096,
    "stop": ["stop1", "stop2"],
}

PARAMETER_EXAMPLES = {
    "proxy": "http://user:password@127.0.0.1:3128",
    "temperature": 1,
    "top_k": 1,
    "top_p": 1,
    "frequency_penalty": 1,
    "presence_penalty": 1,
    "messages": [{"role": "system", "content": ""}, {"role": "user", "content": ""}],
    "media": [["data:image/jpeg;base64,...", "filename.jpg"]],
    "response_format": {"type": "json_object"},
    "conversation": {"conversation_id": "550e8400-e29b-11d4-a716-...", "message_id": "550e8400-e29b-11d4-a716-..."},
    "seed": 42,
    "tools": [],
    "width": 1024,
    "height": 1024,
    "reasoning_effort": "medium",
    "aspect_ratio": "1:1",
}

class AbstractProvider(BaseProvider):

    @classmethod
    @abstractmethod
    def create_completion(
        cls,
        model: str,
        messages: Messages,
        **kwargs
    ) -> CreateResult:
        """
        Create a completion with the given parameters.

        Args:
            model (str): The model to use.
            messages (Messages): The messages to process.
            stream (bool): Whether to use streaming.
            **kwargs: Additional keyword arguments.

        Returns:
            CreateResult: The result of the creation process.
        """
        raise NotImplementedError()

    @classmethod
    async def create_async(
        cls,
        model: str,
        messages: Messages,
        *,
        timeout: int = None,
        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 = asyncio.get_running_loop() if loop is None else loop

        def create_func() -> str:
            return concat_chunks(cls.create_completion(model, messages, **kwargs))
        try:
            return await asyncio.wait_for(
                loop.run_in_executor(executor, create_func), timeout=timeout
            )
        except TimeoutError as e:
            raise TimeoutError("The operation timed out after {} seconds in {}".format(timeout, cls.__name__)) from e

    @classmethod
    def create_function(cls, *args, **kwargs) -> CreateResult:
        """
        Creates a completion using the synchronous method.

        Args:
            **kwargs: Additional keyword arguments.

        Returns:
            CreateResult: The result of the completion creation.
        """
        return cls.create_completion(*args, **kwargs)

    @classmethod
    def async_create_function(cls, *args, **kwargs) -> AsyncResult:
        """
        Creates a completion using the synchronous method.

        Args:
            **kwargs: Additional keyword arguments.

        Returns:
            CreateResult: The result of the completion creation.
        """
        return cls.create_async(*args, **kwargs)

    @classmethod
    def get_parameters(cls, as_json: bool = False) -> dict[str, Parameter]:
        params = {name: parameter for name, parameter in signature(
            cls.create_async_generator if issubclass(cls, AsyncGeneratorProvider) else
            cls.create_async if issubclass(cls, AsyncProvider) else
            cls.create_completion
        ).parameters.items() if name in SAFE_PARAMETERS
            and (name != "stream" or cls.supports_stream)}
        if as_json:
            def get_type_as_var(annotation: type, key: str, default):
                if key in PARAMETER_EXAMPLES:
                    if key == "messages" and not cls.supports_system_message:
                        return [PARAMETER_EXAMPLES[key][-1]]
                    return PARAMETER_EXAMPLES[key]
                if isinstance(annotation, type):
                    if issubclass(annotation, int):
                        return 0
                    elif issubclass(annotation, float):
                        return 0.0
                    elif issubclass(annotation, bool):
                        return False
                    elif issubclass(annotation, str):
                        return ""
                    elif issubclass(annotation, dict):
                        return {}
                    elif issubclass(annotation, list):
                        return []
                    elif issubclass(annotation, BaseConversation):
                        return {}
                    elif issubclass(annotation, NoneType):
                        return {}
                elif annotation is None:
                    return None
                elif annotation == "str" or annotation == "list[str]":
                    return default
                elif isinstance(annotation, _GenericAlias):
                    if annotation.__origin__ is Optional:
                        return get_type_as_var(annotation.__args__[0])
                else:
                    return str(annotation)
            return { name: (
                param.default
                if isinstance(param, Parameter) and param.default is not Parameter.empty and param.default is not None
                else get_type_as_var(param.annotation, name, param.default) if isinstance(param, Parameter) else param
            ) for name, param in {
                **BASIC_PARAMETERS,
                **params,
                **{"provider": cls.__name__, "model": getattr(cls, "default_model", ""), "stream": cls.supports_stream},
            }.items()}
        return params

    @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.
        """

        def get_type_name(annotation: type) -> str:
            return getattr(annotation, "__name__", str(annotation)) if annotation is not Parameter.empty else ""

        args = ""
        for name, param in cls.get_parameters().items():
            args += f"\n    {name}"
            args += f": {get_type_name(param.annotation)}"
            default_value = getattr(cls, "default_model", "") if name == "model" else param.default
            default_value = f'"{default_value}"' if isinstance(default_value, str) else default_value
            args += f" = {default_value}" if param.default is not Parameter.empty else ""
            args += ","

        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,
        **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.
            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(check_nested=False)
        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(AbstractProvider):
    """
    Provides asynchronous generator functionality for streaming results.
    """
    supports_stream = True
    use_stream_timeout = True
    quota_url = None
    
    @classmethod
    async def get_quota(cls, api_key: Optional[str] = None, **kwargs) -> dict:
        """Get the quota information for the API key."""
        if cls.quota_url is None:
            raise NotImplementedError(f"{cls.__name__} does not implement get_quota method")
        if not api_key and cls.needs_auth:
            raise MissingAuthError("API key is required.")
        headers = {
            "authorization": f"Bearer {api_key}"
        } if api_key else {}
        async with ClientSession() as session:
            async with session.get(cls.quota_url, headers=headers) as response:
                await raise_for_status(response)
                return await response.json()

    @classmethod
    def create_completion(
        cls,
        model: str,
        messages: Messages,
        timeout: int = None,
        stream_timeout: int = None,
        **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.
            loop (AbstractEventLoop, optional): The event loop to use. Defaults to None.
            **kwargs: Additional keyword arguments.

        Returns:
            CreateResult: The result of the streaming completion creation.
        """
        return to_sync_generator(
            cls.create_async_generator(model, messages, **kwargs),
            timeout=stream_timeout if cls.use_stream_timeout is None else timeout,
        )

    @staticmethod
    @abstractmethod
    async def create_async_generator(
        model: str,
        messages: Messages,
        **kwargs
    ) -> AsyncResult:
        """
        Abstract method for creating an asynchronous generator.

        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:
            AsyncResult: An asynchronous generator yielding results.
        """
        raise NotImplementedError()

    @classmethod
    async def async_create_function(cls, *args, **kwargs) -> AsyncResult:
        """
        Creates a completion using the synchronous method.

        Args:
            **kwargs: Additional keyword arguments.

        Returns:
            CreateResult: The result of the completion creation.
        """
        response = cls.create_async_generator(*args, **kwargs)
        if "stream_timeout" in kwargs or "timeout" in kwargs:
            timeout = kwargs.get("stream_timeout") if cls.use_stream_timeout else kwargs.get("timeout")
            while True:
                try:
                    yield await asyncio.wait_for(
                        response.__anext__(),
                        timeout=timeout
                    )
                except TimeoutError as e:
                    raise TimeoutError("The operation timed out after {} seconds in {}".format(timeout, cls.__name__)) from e
                except StopAsyncIteration:
                    break
        else:
            async for chunk in response:
                yield chunk

class ProviderModelMixin:
    default_model: str = None
    models: list[str] = []
    model_aliases: dict[str, str] = {}
    models_count: dict = {}
    image_models: list = []
    vision_models: list = []
    video_models: list = []
    audio_models: dict = {}
    last_model: str = None
    models_loaded: bool = False
    models_tags: dict[str, list[str]] = None

    @classmethod
    def get_models(cls, api_key: str = None, **kwargs) -> list[str]:
        if not cls.models and cls.default_model is not None:
            cls.models = [cls.default_model]
        if not cls.models_loaded and hasattr(cls, "get_cache_file"):
            if cls.get_cache_file().exists():
                cls.live += 1
            elif not api_key:
                api_key = AuthManager.load_api_key(cls)
                if api_key:
                    cls.live += 1
        cls.models_loaded = True
        return cls.models

    @classmethod
    def get_model(cls, model: str, **kwargs) -> str:
        if not model and cls.default_model is not None:
            model = cls.default_model
        if model in cls.model_aliases:
            alias = cls.model_aliases[model]
            if isinstance(alias, list):
                selected_model = random.choice(alias)
                debug.log(f"{cls.__name__}: Selected model '{selected_model}' from alias '{model}'")
                return selected_model
            debug.log(f"{cls.__name__}: Using model '{alias}' for alias '{model}'")
            return alias
        return model

class RaiseErrorMixin():

    @staticmethod
    def raise_error(data: dict, status: int = None):
        if "error_message" in data:
            raise ResponseError(data["error_message"])
        elif "error" in data:
            if isinstance(data["error"], str):
                if status is not None:
                    if status == 401:
                        raise MissingAuthError(f"Error {status}: {data['error']}")
                    elif status == 402:
                        raise PaymentRequiredError(f"Error {status}: {data['error']}")
                    raise ResponseError(f"Error {status}: {data['error']}")
                raise ResponseError(data["error"])
            elif isinstance(data["error"], bool):
                raise ResponseError(data)
            elif "code" in data["error"]:
                raise ResponseError("\n".join(
                    [e for e in [f'Error {data["error"]["code"]}: {data["error"]["message"]}', data["error"].get("failed_generation")] if e is not None]
                ))
            elif "message" in data["error"]:
                raise ResponseError(data["error"]["message"])
            else:
                raise ResponseError(data["error"])
        #elif ("choices" not in data or not data["choices"]) and "data" not in data:
        #    raise ResponseError(f"Invalid response: {json.dumps(data)}")

class AuthFileMixin():

    @classmethod
    def get_cache_file(cls) -> Path:
        return Path(get_cookies_dir()) / f"auth_{cls.parent if hasattr(cls, 'parent') else cls.__name__}.json"

class AsyncAuthedProvider(AsyncGeneratorProvider, AuthFileMixin):

    @classmethod
    async def on_auth_async(cls, **kwargs) -> AuthResult:
       if "api_key" not in kwargs:
           raise MissingAuthError(f"API key is required for {cls.__name__}")
       return AuthResult()

    @classmethod
    def on_auth(cls, **kwargs) -> AuthResult:
        auth_result = cls.on_auth_async(**kwargs)
        if hasattr(auth_result, "__aiter__"):
            return to_sync_generator(auth_result)
        return asyncio.run(auth_result)

    @classmethod
    def write_cache_file(cls, cache_file: Path, auth_result: AuthResult = None):
         if auth_result is not None:
            cache_file.parent.mkdir(parents=True, exist_ok=True)
            try:
                def toJSON(obj):
                    if hasattr(obj, "get_dict"):
                        return obj.get_dict()
                    return str(obj)
                with cache_file.open("w") as cache_file:
                    json.dump(auth_result, cache_file, default=toJSON)
            except TypeError as e:
                raise RuntimeError(f"Failed to save: {auth_result.get_dict()}\n{type(e).__name__}: {e}")
         # elif cache_file.exists():
         #    cache_file.unlink()

    @classmethod
    def get_auth_result(cls) -> AuthResult:
        """
        Retrieves the authentication result from cache.
        """
        cache_file = cls.get_cache_file()
        if cache_file.exists():
            try:
                with cache_file.open("r") as f:
                    return AuthResult(**json.load(f))
            except json.JSONDecodeError:
                cache_file.unlink()
                raise MissingAuthError(f"Invalid auth file: {cache_file}")
        else:
            raise MissingAuthError

    @classmethod
    def create_completion(
        cls,
        model: str,
        messages: Messages,
        **kwargs
) -> CreateResult:
        auth_result: AuthResult = None
        cache_file = cls.get_cache_file()
        try:
            auth_result = cls.get_auth_result()
            yield from to_sync_generator(cls.create_authed(model, messages, auth_result, **kwargs))
        except (MissingAuthError, NoValidHarFileError, CloudflareError):
            response = cls.on_auth(**kwargs)
            for chunk in response:
                if isinstance(chunk, AuthResult):
                    auth_result = chunk
                else:
                    yield chunk
            for chunk in to_sync_generator(cls.create_authed(model, messages, auth_result, **kwargs), kwargs.get("stream_timeout", kwargs.get("timeout"))):
                if cache_file is not None:
                    cls.write_cache_file(cache_file, auth_result)
                    cache_file = None
                yield chunk

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        **kwargs
    ) -> AsyncResult:
        auth_result: AuthResult = None
        cache_file = cls.get_cache_file()
        try:
            auth_result = cls.get_auth_result()
            response = to_async_iterator(cls.create_authed(model, messages, **kwargs, auth_result=auth_result))
            if "stream_timeout" in kwargs or "timeout" in kwargs:
                timeout = kwargs.get("stream_timeout") if cls.use_stream_timeout else kwargs.get("timeout")
                while True:
                    try:
                        yield await asyncio.wait_for(
                            response.__anext__(),
                            timeout=timeout
                        )
                    except TimeoutError as e:
                        raise TimeoutError("The operation timed out after {} seconds in {}".format(timeout, cls.__name__)) from e
                    except StopAsyncIteration:
                        break
            else:
                async for chunk in response:
                    yield chunk
        except (MissingAuthError, NoValidHarFileError, CloudflareError):
            # if cache_file.exists():
            #     cache_file.unlink()
            response = cls.on_auth_async(**kwargs)
            async for chunk in response:
                if isinstance(chunk, AuthResult):
                    auth_result = chunk
                else:
                    yield chunk
            response = to_async_iterator(cls.create_authed(model, messages, **kwargs, auth_result=auth_result))
            async for chunk in response:
                if cache_file is not None:
                    cls.write_cache_file(cache_file, auth_result)
                    cache_file = None
                yield chunk