gpt4free/g4f/client/async.py

from __future__ import annotations

import re
import os
import time
import random
import string

from .types import BaseProvider, ProviderType, FinishReason
from .stubs import ChatCompletion, ChatCompletionChunk, Image, ImagesResponse
from ..typing import Union, Iterator, Messages, ImageType, AsyncIerator
from ..image import ImageResponse as ImageProviderResponse
from ..errors import NoImageResponseError, RateLimitError, MissingAuthError
from .. import get_model_and_provider, get_last_provider
from .helper import read_json

from .Provider.BingCreateImages import BingCreateImages
from .Provider.needs_auth import Gemini, OpenaiChat
from ..Provider.You import You

async def iter_response(
    response: AsyncIerator[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 idx, 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 = read_json(content)
        yield ChatCompletion(content, finish_reason, completion_id, int(time.time()))

async def iter_append_model_and_provider(response: AsyncIterResponse) -> IterResponse:
    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 Client():
    def __init__(
        self,
        api_key: str = None,
        proxies: Proxies = None,
        provider: ProviderType = None,
        image_provider: ImageProvider = None,
        **kwargs
    ) -> None:
        self.api_key: str = api_key
        self.proxies: Proxies = proxies
        self.chat: Chat = Chat(self, provider)
        self.images: Images = Images(self, image_provider)

    def get_proxy(self) -> Union[str, None]:
        if isinstance(self.proxies, str):
            return self.proxies
        elif self.proxies is None:
            return os.environ.get("G4F_PROXY")
        elif "all" in self.proxies:
            return self.proxies["all"]
        elif "https" in self.proxies:
            return self.proxies["https"]

def filter_none(**kwargs):
    for key in list(kwargs.keys()):
        if kwargs[key] is None:
            del kwargs[key]
    return kwargs

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

    def create(
        self,
        messages: Messages,
        model: str,
        provider: ProviderType = None,
        stream: bool = False,
        response_format: dict = None,
        max_tokens: int = None,
        stop: Union[list[str], str] = None,
        api_key: str = None,
        ignored  : list[str] = None,
        ignore_working: bool = False,
        ignore_stream: bool = False,
        **kwargs
    ) -> Union[ChatCompletion, Iterator[ChatCompletionChunk]]:
        model, provider = get_model_and_provider(
            model,
            self.provider if provider is None else provider,
            stream,
            ignored,
            ignore_working,
            ignore_stream,
            **kwargs
        )
        stop = [stop] if isinstance(stop, str) else stop
        response = provider.create_completion(
            model, messages, stream,            
            **filter_none(
                proxy=self.client.get_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 next(response)

class Chat():
    completions: Completions

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

class ImageModels():
    gemini = Gemini
    openai = OpenaiChat
    you = You

    def __init__(self, client: Client) -> None:
        self.client = client
        self.default = BingCreateImages(proxy=self.client.get_proxy())

    def get(self, name: str, default: ImageProvider = None) -> ImageProvider:
        return getattr(self, name) if hasattr(self, name) else default or self.default

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

def create_image(client: Client, provider: ProviderType, prompt: str, model: str = "", **kwargs) -> Iterator:
    prompt = f"create a image with: {prompt}"
    return provider.create_completion(
        model,
        [{"role": "user", "content": prompt}],
        True,
        proxy=client.get_proxy(),
        **kwargs
    )

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

    def generate(self, prompt, model: str = None, **kwargs) -> ImagesResponse:
        provider = self.models.get(model, self.provider)
        if isinstance(provider, type) and issubclass(provider, BaseProvider):
            response = create_image(self.client, provider, prompt, **kwargs)
        else:
            try:
                response = list(provider.create(prompt))
            except (RateLimitError, MissingAuthError) as e:
                # Fallback for default provider
                if self.provider is None:
                    response = create_image(self.client, self.models.you, prompt, model or "dall-e", **kwargs)
                else:
                    raise e
        image = iter_image_response(response)
        if image is None:
            raise NoImageResponseError()
        return image

    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, BaseProvider):
            response = provider.create_completion(
                "",
                [{"role": "user", "content": "create a image like this"}],
                True,
                image=image,
                proxy=self.client.get_proxy(),
                **kwargs
            )
            for chunk in response:
                if isinstance(chunk, ImageProviderResponse):
                    result = ([chunk.images] if isinstance(chunk.images, str) else chunk.images)
                    result = ImagesResponse([Image(image)for image in result])
        if result is None:
            raise NoImageResponseError()
        return result