gpt4free/g4f/client/async_client.py

from __future__ import annotations

import time
import random
import string

from .types import Client as BaseClient
from .types import ProviderType, FinishReason
from .stubs import ChatCompletion, ChatCompletionChunk, ImagesResponse, Image
from .types import AsyncIterResponse, ImageProvider
from .image_models import ImageModels
from .helper import filter_json, find_stop, filter_none, cast_iter_async
from .service import get_last_provider, get_model_and_provider
from ..typing import Union, Iterator, Messages, AsyncIterator, ImageType
from ..errors import NoImageResponseError
from ..image import ImageResponse as ImageProviderResponse
from ..providers.base_provider import AsyncGeneratorProvider

async def iter_response(
    response: AsyncIterator[str],
    stream: bool,
    response_format: dict = None,
    max_tokens: int = None,
    stop: list = None
) -> AsyncIterResponse:
    content = ""
    finish_reason = None
    completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
    count: int = 0
    async for chunk in response:
        if isinstance(chunk, FinishReason):
            finish_reason = chunk.reason
            break
        content += str(chunk)
        count += 1
        if max_tokens is not None and count >= max_tokens:
            finish_reason = "length"
        first, content, chunk = find_stop(stop, content, chunk)
        if first != -1:
            finish_reason = "stop"
        if stream:
            yield ChatCompletionChunk(chunk, None, completion_id, int(time.time()))
        if finish_reason is not None:
            break
    finish_reason = "stop" if finish_reason is None else finish_reason
    if stream:
        yield ChatCompletionChunk(None, finish_reason, completion_id, int(time.time()))
    else:
        if response_format is not None and "type" in response_format:
            if response_format["type"] == "json_object":
                content = filter_json(content)
        yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))

async def iter_append_model_and_provider(response: AsyncIterResponse) -> AsyncIterResponse:
    last_provider = None
    async for chunk in response:
        last_provider = get_last_provider(True) if last_provider is None else last_provider
        chunk.model = last_provider.get("model")
        chunk.provider =  last_provider.get("name")
        yield chunk

class AsyncClient(BaseClient):
    def __init__(
        self,
        provider: ProviderType = None,
        image_provider: ImageProvider = None,
        **kwargs
    ):
        super().__init__(**kwargs)
        self.chat: Chat = Chat(self, provider)
        self.images: Images = Images(self, image_provider)

def create_response(
    messages: Messages,
    model: str,
    provider: ProviderType = None,
    stream: bool = False,
    proxy: str = None,
    max_tokens: int = None,
    stop: list[str] = None,
    api_key: str = None,
    **kwargs
):
    has_asnyc = isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider)
    if has_asnyc:
        create = provider.create_async_generator
    else:
        create = provider.create_completion
    response = create(
        model, messages, stream,            
        **filter_none(
            proxy=proxy,
            max_tokens=max_tokens,
            stop=stop,
            api_key=api_key
        ),
        **kwargs
    )
    if not has_asnyc:
        response = cast_iter_async(response)
    return response

class Completions():
    def __init__(self, client: AsyncClient, provider: ProviderType = None):
        self.client: AsyncClient = client
        self.provider: ProviderType = provider

    def create(
        self,
        messages: Messages,
        model: str,
        provider: ProviderType = None,
        stream: bool = False,
        proxy: str = None,
        max_tokens: int = None,
        stop: Union[list[str], str] = None,
        api_key: str = None,
        response_format: dict = None,
        ignored  : list[str] = None,
        ignore_working: bool = False,
        ignore_stream: bool = False,
        **kwargs
    ) -> Union[ChatCompletion, AsyncIterator[ChatCompletionChunk]]:
        model, provider = get_model_and_provider(
            model,
            self.provider if provider is None else provider,
            stream,
            ignored,
            ignore_working,
            ignore_stream
        )
        stop = [stop] if isinstance(stop, str) else stop
        response = create_response(
            messages, model,
            provider, stream,
            proxy=self.client.get_proxy() if proxy is None else proxy,
            max_tokens=max_tokens,
            stop=stop,
            api_key=self.client.api_key if api_key is None else api_key
            **kwargs
        )
        response = iter_response(response, stream, response_format, max_tokens, stop)
        response = iter_append_model_and_provider(response)
        return response if stream else anext(response)

class Chat():
    completions: Completions

    def __init__(self, client: AsyncClient, provider: ProviderType = None):
        self.completions = Completions(client, provider)

async def iter_image_response(response: Iterator) -> Union[ImagesResponse, None]:
    async for chunk in response:
        if isinstance(chunk, ImageProviderResponse):
            return ImagesResponse([Image(image) for image in chunk.get_list()])

def create_image(client: AsyncClient, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> AsyncIterator:
    prompt = f"create a image with: {prompt}"
    if provider.__name__ == "You":
        kwargs["chat_mode"] = "create"
    return provider.create_async_generator(
        model,
        [{"role": "user", "content": prompt}],
        stream=True,
        proxy=client.get_proxy(),
        **kwargs
    )

class Images():
    def __init__(self, client: AsyncClient, provider: ImageProvider = None):
        self.client: AsyncClient = client
        self.provider: ImageProvider = provider
        self.models: ImageModels = ImageModels(client)

    async def generate(self, prompt, model: str = "", **kwargs) -> ImagesResponse:
        provider = self.models.get(model, self.provider)
        if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
            response = create_image(self.client, provider, prompt, **kwargs)
        else:
            response = await provider.create_async(prompt)
            return ImagesResponse([Image(image) for image in response.get_list()])
        image = await iter_image_response(response)
        if image is None:
            raise NoImageResponseError()
        return image

    async def create_variation(self, image: ImageType, model: str = None, **kwargs):
        provider = self.models.get(model, self.provider)
        result = None
        if isinstance(provider, type) and issubclass(provider, AsyncGeneratorProvider):
            response = provider.create_async_generator(
                "",
                [{"role": "user", "content": "create a image like this"}],
                True,
                image=image,
                proxy=self.client.get_proxy(),
                **kwargs
            )
            result = iter_image_response(response)
        if result is None:
            raise NoImageResponseError()
        return result